Effect of single-dose anthelmintic treatment during pregnancy on an infant's response to immunisation and on susceptibility to infectious diseases in infancy: a randomised, double-blind, placebo-controlled trial
Identifieur interne : 002769 ( Pmc/Corpus ); précédent : 002768; suivant : 002770Effect of single-dose anthelmintic treatment during pregnancy on an infant's response to immunisation and on susceptibility to infectious diseases in infancy: a randomised, double-blind, placebo-controlled trial
Auteurs : Emily L. Webb ; Patrice A. Mawa ; Juliet Ndibazza ; Dennison Kizito ; Alice Namatovu ; Jacqueline Kyosiimire-Lugemwa ; Bridget Nanteza ; Margaret Nampijja ; Lawrence Muhangi ; Patrick W. Woodburn ; Hellen Akurut ; Harriet Mpairwe ; Miriam Akello ; Nancy Lyadda ; Joseph Bukusuba ; Macklyn Kihembo ; Moses Kizza ; Robert Kizindo ; Juliet Nabulime ; Christine Ameke ; Proscovia B. Namujju ; Robert Tweyongyere ; Moses Muwanga ; James Ag Whitworth ; Alison M. ElliottSource :
- Lancet [ 0140-6736 ] ; 2011.
Abstract
Helminth infections affect the human immune response. We investigated whether prenatal exposure to and treatment of maternal helminth infections affects development of an infant's immune response to immunisations and unrelated infections.
In this randomised, double-blind, placebo-controlled trial, we enrolled 2507 women in the second or third trimester of pregnancy who were planning to deliver in Entebbe General Hospital, Entebbe, Uganda. With a computer-generated random number sequence in blocks of 100, we assigned patients to 440 mg albendazole and 40 mg/kg praziquantel (n=628), 440 mg albendazole and a praziquantel-matching placebo (n=625), 40 mg/kg praziquantel and an albendazole-matching placebo (n=626), or an albendazole-matching placebo and praziquantel-matching placebo (n=628). All participants and hospital staff were masked to allocation. Primary outcomes were immune response at age 1 year to BCG, tetanus, and measles immunisation; incidence of infectious diseases during infancy; and vertical HIV transmission. Analysis was by intention-to-treat. This trial is registered, number ISRCTN32849447.
Data were available at delivery for 2356 women, with 2345 livebirths; 2115 (90%) of liveborn infants remained in follow-up at 1 year of age. Neither albendazole nor praziquantel treatments affected infant response to BCG, tetanus, or measles immunisation. However, in infants of mothers with hookworm infection, albendazole treatment reduced interleukin-5 (geometric mean ratio 0·50, 95% CI 0·30–0·81, interaction p=0·02) and interleukin-13 (0·52, 0·34–0·82, 0·0005) response to tetanus toxoid. The rate per 100 person-years of malaria was 40·9 (95% CI 38·3–43·7), of diarrhoea was 134·1 (129·2–139·2), and of pneumonia was 22·3 (20·4–24·4). We noted no effect on infectious disease incidence for albendazole treatment (malaria [hazard ratio 0·95, 95% CI 0·79–1.14], diarrhoea [1·06, 0·96–1·16], pneumonia [1·11, 0·90–1·38]) or praziquantel treatment (malaria [1·00, 0·84–1·20], diarrhoea [1·07, 0·98–1·18], pneumonia [1·00, 0·80–1·24]). In HIV-exposed infants, 39 (18%) were infected at 6 weeks; vertical transmission was not associated with albendazole (odds ratio 0·70, 95% CI 0·35–1·42) or praziquantel (0·60, 0·29–1·23) treatment.
These results do not accord with the recently advocated policy of routine antenatal anthelmintic treatment, and the value of such a policy may need to be reviewed.
Wellcome Trust.
Url:
DOI: 10.1016/S0140-6736(10)61457-2
PubMed: 21176950
PubMed Central: 3018567
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Mawa</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Ndibazza, Juliet" sort="Ndibazza, Juliet" uniqKey="Ndibazza J" first="Juliet" last="Ndibazza">Juliet Ndibazza</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Kizito, Dennison" sort="Kizito, Dennison" uniqKey="Kizito D" first="Dennison" last="Kizito">Dennison Kizito</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Namatovu, Alice" sort="Namatovu, Alice" uniqKey="Namatovu A" first="Alice" last="Namatovu">Alice Namatovu</name><affiliation><nlm:aff id="aff4">Faculty of Veterinary Medicine, Makerere University, Kampala, Uganda</nlm:aff></affiliation></author><author><name sortKey="Kyosiimire Lugemwa, Jacqueline" sort="Kyosiimire Lugemwa, Jacqueline" uniqKey="Kyosiimire Lugemwa J" first="Jacqueline" last="Kyosiimire-Lugemwa">Jacqueline Kyosiimire-Lugemwa</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Nanteza, Bridget" sort="Nanteza, Bridget" uniqKey="Nanteza B" first="Bridget" last="Nanteza">Bridget Nanteza</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Nampijja, Margaret" sort="Nampijja, Margaret" uniqKey="Nampijja M" first="Margaret" last="Nampijja">Margaret Nampijja</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Muhangi, Lawrence" sort="Muhangi, Lawrence" uniqKey="Muhangi L" first="Lawrence" last="Muhangi">Lawrence Muhangi</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Woodburn, Patrick W" sort="Woodburn, Patrick W" uniqKey="Woodburn P" first="Patrick W" last="Woodburn">Patrick W. Woodburn</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Akurut, Hellen" sort="Akurut, Hellen" uniqKey="Akurut H" first="Hellen" last="Akurut">Hellen Akurut</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Mpairwe, Harriet" sort="Mpairwe, Harriet" uniqKey="Mpairwe H" first="Harriet" last="Mpairwe">Harriet Mpairwe</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Akello, Miriam" sort="Akello, Miriam" uniqKey="Akello M" first="Miriam" last="Akello">Miriam Akello</name><affiliation><nlm:aff id="aff3">Entebbe Hospital, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Lyadda, Nancy" sort="Lyadda, Nancy" uniqKey="Lyadda N" first="Nancy" last="Lyadda">Nancy Lyadda</name><affiliation><nlm:aff id="aff3">Entebbe Hospital, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Bukusuba, Joseph" sort="Bukusuba, Joseph" uniqKey="Bukusuba J" first="Joseph" last="Bukusuba">Joseph Bukusuba</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Kihembo, Macklyn" sort="Kihembo, Macklyn" uniqKey="Kihembo M" first="Macklyn" last="Kihembo">Macklyn Kihembo</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Kizza, Moses" sort="Kizza, Moses" uniqKey="Kizza M" first="Moses" last="Kizza">Moses Kizza</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Kizindo, Robert" sort="Kizindo, Robert" uniqKey="Kizindo R" first="Robert" last="Kizindo">Robert Kizindo</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Nabulime, Juliet" sort="Nabulime, Juliet" uniqKey="Nabulime J" first="Juliet" last="Nabulime">Juliet Nabulime</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Ameke, Christine" sort="Ameke, Christine" uniqKey="Ameke C" first="Christine" last="Ameke">Christine Ameke</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Namujju, Proscovia B" sort="Namujju, Proscovia B" uniqKey="Namujju P" first="Proscovia B" last="Namujju">Proscovia B. Namujju</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Tweyongyere, Robert" sort="Tweyongyere, Robert" uniqKey="Tweyongyere R" first="Robert" last="Tweyongyere">Robert Tweyongyere</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Muwanga, Moses" sort="Muwanga, Moses" uniqKey="Muwanga M" first="Moses" last="Muwanga">Moses Muwanga</name><affiliation><nlm:aff id="aff3">Entebbe Hospital, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Whitworth, James Ag" sort="Whitworth, James Ag" uniqKey="Whitworth J" first="James Ag" last="Whitworth">James Ag Whitworth</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation><affiliation><nlm:aff id="aff2">London School of Hygiene and Tropical Medicine, London, UK</nlm:aff></affiliation></author><author><name sortKey="Elliott, Alison M" sort="Elliott, Alison M" uniqKey="Elliott A" first="Alison M" last="Elliott">Alison M. Elliott</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation><affiliation><nlm:aff id="aff2">London School of Hygiene and Tropical Medicine, London, UK</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">21176950</idno><idno type="pmc">3018567</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3018567</idno><idno type="RBID">PMC:3018567</idno><idno type="doi">10.1016/S0140-6736(10)61457-2</idno><date when="2011">2011</date><idno type="wicri:Area/Pmc/Corpus">002769</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">002769</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Effect of single-dose anthelmintic treatment during pregnancy on an infant's response to immunisation and on susceptibility to infectious diseases in infancy: a randomised, double-blind, placebo-controlled trial</title><author><name sortKey="Webb, Emily L" sort="Webb, Emily L" uniqKey="Webb E" first="Emily L" last="Webb">Emily L. Webb</name><affiliation><nlm:aff id="aff2">London School of Hygiene and Tropical Medicine, London, UK</nlm:aff></affiliation></author><author><name sortKey="Mawa, Patrice A" sort="Mawa, Patrice A" uniqKey="Mawa P" first="Patrice A" last="Mawa">Patrice A. Mawa</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Ndibazza, Juliet" sort="Ndibazza, Juliet" uniqKey="Ndibazza J" first="Juliet" last="Ndibazza">Juliet Ndibazza</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Kizito, Dennison" sort="Kizito, Dennison" uniqKey="Kizito D" first="Dennison" last="Kizito">Dennison Kizito</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Namatovu, Alice" sort="Namatovu, Alice" uniqKey="Namatovu A" first="Alice" last="Namatovu">Alice Namatovu</name><affiliation><nlm:aff id="aff4">Faculty of Veterinary Medicine, Makerere University, Kampala, Uganda</nlm:aff></affiliation></author><author><name sortKey="Kyosiimire Lugemwa, Jacqueline" sort="Kyosiimire Lugemwa, Jacqueline" uniqKey="Kyosiimire Lugemwa J" first="Jacqueline" last="Kyosiimire-Lugemwa">Jacqueline Kyosiimire-Lugemwa</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Nanteza, Bridget" sort="Nanteza, Bridget" uniqKey="Nanteza B" first="Bridget" last="Nanteza">Bridget Nanteza</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Nampijja, Margaret" sort="Nampijja, Margaret" uniqKey="Nampijja M" first="Margaret" last="Nampijja">Margaret Nampijja</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Muhangi, Lawrence" sort="Muhangi, Lawrence" uniqKey="Muhangi L" first="Lawrence" last="Muhangi">Lawrence Muhangi</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Woodburn, Patrick W" sort="Woodburn, Patrick W" uniqKey="Woodburn P" first="Patrick W" last="Woodburn">Patrick W. Woodburn</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Akurut, Hellen" sort="Akurut, Hellen" uniqKey="Akurut H" first="Hellen" last="Akurut">Hellen Akurut</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Mpairwe, Harriet" sort="Mpairwe, Harriet" uniqKey="Mpairwe H" first="Harriet" last="Mpairwe">Harriet Mpairwe</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Akello, Miriam" sort="Akello, Miriam" uniqKey="Akello M" first="Miriam" last="Akello">Miriam Akello</name><affiliation><nlm:aff id="aff3">Entebbe Hospital, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Lyadda, Nancy" sort="Lyadda, Nancy" uniqKey="Lyadda N" first="Nancy" last="Lyadda">Nancy Lyadda</name><affiliation><nlm:aff id="aff3">Entebbe Hospital, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Bukusuba, Joseph" sort="Bukusuba, Joseph" uniqKey="Bukusuba J" first="Joseph" last="Bukusuba">Joseph Bukusuba</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Kihembo, Macklyn" sort="Kihembo, Macklyn" uniqKey="Kihembo M" first="Macklyn" last="Kihembo">Macklyn Kihembo</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Kizza, Moses" sort="Kizza, Moses" uniqKey="Kizza M" first="Moses" last="Kizza">Moses Kizza</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Kizindo, Robert" sort="Kizindo, Robert" uniqKey="Kizindo R" first="Robert" last="Kizindo">Robert Kizindo</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Nabulime, Juliet" sort="Nabulime, Juliet" uniqKey="Nabulime J" first="Juliet" last="Nabulime">Juliet Nabulime</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Ameke, Christine" sort="Ameke, Christine" uniqKey="Ameke C" first="Christine" last="Ameke">Christine Ameke</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Namujju, Proscovia B" sort="Namujju, Proscovia B" uniqKey="Namujju P" first="Proscovia B" last="Namujju">Proscovia B. Namujju</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Tweyongyere, Robert" sort="Tweyongyere, Robert" uniqKey="Tweyongyere R" first="Robert" last="Tweyongyere">Robert Tweyongyere</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Muwanga, Moses" sort="Muwanga, Moses" uniqKey="Muwanga M" first="Moses" last="Muwanga">Moses Muwanga</name><affiliation><nlm:aff id="aff3">Entebbe Hospital, Entebbe, Uganda</nlm:aff></affiliation></author><author><name sortKey="Whitworth, James Ag" sort="Whitworth, James Ag" uniqKey="Whitworth J" first="James Ag" last="Whitworth">James Ag Whitworth</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation><affiliation><nlm:aff id="aff2">London School of Hygiene and Tropical Medicine, London, UK</nlm:aff></affiliation></author><author><name sortKey="Elliott, Alison M" sort="Elliott, Alison M" uniqKey="Elliott A" first="Alison M" last="Elliott">Alison M. Elliott</name><affiliation><nlm:aff id="aff1">MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</nlm:aff></affiliation><affiliation><nlm:aff id="aff2">London School of Hygiene and Tropical Medicine, London, UK</nlm:aff></affiliation></author></analytic><series><title level="j">Lancet</title><idno type="ISSN">0140-6736</idno><idno type="eISSN">1474-547X</idno><imprint><date when="2011">2011</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><title>Summary</title><sec><title>Background</title><p>Helminth infections affect the human immune response. We investigated whether prenatal exposure to and treatment of maternal helminth infections affects development of an infant's immune response to immunisations and unrelated infections.</p></sec><sec><title>Methods</title><p>In this randomised, double-blind, placebo-controlled trial, we enrolled 2507 women in the second or third trimester of pregnancy who were planning to deliver in Entebbe General Hospital, Entebbe, Uganda. With a computer-generated random number sequence in blocks of 100, we assigned patients to 440 mg albendazole and 40 mg/kg praziquantel (n=628), 440 mg albendazole and a praziquantel-matching placebo (n=625), 40 mg/kg praziquantel and an albendazole-matching placebo (n=626), or an albendazole-matching placebo and praziquantel-matching placebo (n=628). All participants and hospital staff were masked to allocation. Primary outcomes were immune response at age 1 year to BCG, tetanus, and measles immunisation; incidence of infectious diseases during infancy; and vertical HIV transmission. Analysis was by intention-to-treat. This trial is registered, number ISRCTN32849447.</p></sec><sec><title>Findings</title><p>Data were available at delivery for 2356 women, with 2345 livebirths; 2115 (90%) of liveborn infants remained in follow-up at 1 year of age. Neither albendazole nor praziquantel treatments affected infant response to BCG, tetanus, or measles immunisation. However, in infants of mothers with hookworm infection, albendazole treatment reduced interleukin-5 (geometric mean ratio 0·50, 95% CI 0·30–0·81, interaction p=0·02) and interleukin-13 (0·52, 0·34–0·82, 0·0005) response to tetanus toxoid. The rate per 100 person-years of malaria was 40·9 (95% CI 38·3–43·7), of diarrhoea was 134·1 (129·2–139·2), and of pneumonia was 22·3 (20·4–24·4). We noted no effect on infectious disease incidence for albendazole treatment (malaria [hazard ratio 0·95, 95% CI 0·79–1.14], diarrhoea [1·06, 0·96–1·16], pneumonia [1·11, 0·90–1·38]) or praziquantel treatment (malaria [1·00, 0·84–1·20], diarrhoea [1·07, 0·98–1·18], pneumonia [1·00, 0·80–1·24]). In HIV-exposed infants, 39 (18%) were infected at 6 weeks; vertical transmission was not associated with albendazole (odds ratio 0·70, 95% CI 0·35–1·42) or praziquantel (0·60, 0·29–1·23) treatment.</p></sec><sec><title>Interpretation</title><p>These results do not accord with the recently advocated policy of routine antenatal anthelmintic treatment, and the value of such a policy may need to be reviewed.</p></sec><sec><title>Funding</title><p>Wellcome Trust.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Bryce, J" uniqKey="Bryce J">J Bryce</name></author><author><name sortKey="Boschi Pinto, C" uniqKey="Boschi Pinto C">C Boschi-Pinto</name></author><author><name sortKey="Shibuya, K" uniqKey="Shibuya K">K Shibuya</name></author><author><name sortKey="Black, Re" uniqKey="Black R">RE Black</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Labeaud, Ad" uniqKey="Labeaud A">AD Labeaud</name></author><author><name sortKey="Malhotra, I" uniqKey="Malhotra I">I Malhotra</name></author><author><name sortKey="King, Mj" uniqKey="King M">MJ King</name></author><author><name sortKey="King, Cl" uniqKey="King C">CL King</name></author><author><name sortKey="King, Ch" uniqKey="King C">CH King</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Dye, C" uniqKey="Dye C">C Dye</name></author><author><name sortKey="Scheele, S" uniqKey="Scheele S">S Scheele</name></author><author><name sortKey="Dolin, P" uniqKey="Dolin P">P Dolin</name></author><author><name sortKey="Pathania, V" uniqKey="Pathania V">V Pathania</name></author><author><name sortKey="Raviglione, Mc" uniqKey="Raviglione M">MC Raviglione</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Fine, Pe" uniqKey="Fine P">PE Fine</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Colditz, Ga" 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<front><journal-meta><journal-id journal-id-type="nlm-ta">Lancet</journal-id><journal-id journal-id-type="iso-abbrev">Lancet</journal-id><journal-title-group><journal-title>Lancet</journal-title></journal-title-group><issn pub-type="ppub">0140-6736</issn><issn pub-type="epub">1474-547X</issn><publisher><publisher-name>Lancet Publishing Group</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">21176950</article-id><article-id pub-id-type="pmc">3018567</article-id><article-id pub-id-type="publisher-id">LANCET61457</article-id><article-id pub-id-type="doi">10.1016/S0140-6736(10)61457-2</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group></article-categories><title-group><article-title>Effect of single-dose anthelmintic treatment during pregnancy on an infant's response to immunisation and on susceptibility to infectious diseases in infancy: a randomised, double-blind, placebo-controlled trial</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Webb</surname><given-names>Emily L</given-names></name><email>emily.webb@lshtm.ac.uk</email><xref rid="aff2" ref-type="aff">b</xref><xref rid="cor1" ref-type="corresp">*</xref></contrib><contrib contrib-type="author"><name><surname>Mawa</surname><given-names>Patrice A</given-names></name><xref rid="aff1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Ndibazza</surname><given-names>Juliet</given-names></name><xref rid="aff1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Kizito</surname><given-names>Dennison</given-names></name><xref rid="aff1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Namatovu</surname><given-names>Alice</given-names></name><xref rid="aff4" ref-type="aff">d</xref></contrib><contrib contrib-type="author"><name><surname>Kyosiimire-Lugemwa</surname><given-names>Jacqueline</given-names></name><xref rid="aff1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Nanteza</surname><given-names>Bridget</given-names></name><xref rid="aff1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Nampijja</surname><given-names>Margaret</given-names></name><xref rid="aff1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Muhangi</surname><given-names>Lawrence</given-names></name><xref rid="aff1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Woodburn</surname><given-names>Patrick W</given-names></name><xref rid="aff1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Akurut</surname><given-names>Hellen</given-names></name><xref rid="aff1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Mpairwe</surname><given-names>Harriet</given-names></name><xref rid="aff1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Akello</surname><given-names>Miriam</given-names></name><xref rid="aff3" ref-type="aff">c</xref></contrib><contrib contrib-type="author"><name><surname>Lyadda</surname><given-names>Nancy</given-names></name><xref rid="aff3" ref-type="aff">c</xref></contrib><contrib contrib-type="author"><name><surname>Bukusuba</surname><given-names>Joseph</given-names></name><xref rid="aff1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Kihembo</surname><given-names>Macklyn</given-names></name><xref rid="aff1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Kizza</surname><given-names>Moses</given-names></name><xref rid="aff1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Kizindo</surname><given-names>Robert</given-names></name><xref rid="aff1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Nabulime</surname><given-names>Juliet</given-names></name><xref rid="aff1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Ameke</surname><given-names>Christine</given-names></name><xref rid="aff1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Namujju</surname><given-names>Proscovia B</given-names></name><xref rid="aff1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Tweyongyere</surname><given-names>Robert</given-names></name><xref rid="aff1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Muwanga</surname><given-names>Moses</given-names></name><xref rid="aff3" ref-type="aff">c</xref></contrib><contrib contrib-type="author"><name><surname>Whitworth</surname><given-names>James AG</given-names></name><xref rid="aff1" ref-type="aff">a</xref><xref rid="aff2" ref-type="aff">b</xref></contrib><contrib contrib-type="author"><name><surname>Elliott</surname><given-names>Alison M</given-names></name><xref rid="aff1" ref-type="aff">a</xref><xref rid="aff2" ref-type="aff">b</xref></contrib></contrib-group><aff id="aff1"><label>a</label>MRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda</aff><aff id="aff2"><label>b</label>London School of Hygiene and Tropical Medicine, London, UK</aff><aff id="aff3"><label>c</label>Entebbe Hospital, Entebbe, Uganda</aff><aff id="aff4"><label>d</label>Faculty of Veterinary Medicine, Makerere University, Kampala, Uganda</aff><author-notes><corresp id="cor1"><label>*</label>Correspondence to: Dr Emily L Webb, London School of Hygiene and Tropical Medicine, Department of Infectious Disease Epidemiology, Keppel Street, London WC1E 7HT, UK <email>emily.webb@lshtm.ac.uk</email></corresp></author-notes><pub-date pub-type="pmc-release"><day>1</day><month>1</month><year>2011</year></pub-date><pmc-comment> PMC Release delay is 0 months and 0 days and was based on the
<pub-date pub-type="ppub"><day>1</day><month>1</month><year>2011</year></pub-date><volume>377</volume><issue>9759</issue><fpage>52</fpage><lpage>62</lpage><permissions><copyright-statement>© 2011 Elsevier Ltd. All rights reserved.</copyright-statement><copyright-year>2011</copyright-year><copyright-holder>Elsevier Ltd</copyright-holder><license><license-p>This document may be redistributed and reused, subject to <ext-link ext-link-type="uri" xlink:href="http://www.elsevier.com/wps/find/authorsview.authors/supplementalterms1.0">certain conditions</ext-link>.</license-p></license></permissions><abstract><title>Summary</title><sec><title>Background</title><p>Helminth infections affect the human immune response. We investigated whether prenatal exposure to and treatment of maternal helminth infections affects development of an infant's immune response to immunisations and unrelated infections.</p></sec><sec><title>Methods</title><p>In this randomised, double-blind, placebo-controlled trial, we enrolled 2507 women in the second or third trimester of pregnancy who were planning to deliver in Entebbe General Hospital, Entebbe, Uganda. With a computer-generated random number sequence in blocks of 100, we assigned patients to 440 mg albendazole and 40 mg/kg praziquantel (n=628), 440 mg albendazole and a praziquantel-matching placebo (n=625), 40 mg/kg praziquantel and an albendazole-matching placebo (n=626), or an albendazole-matching placebo and praziquantel-matching placebo (n=628). All participants and hospital staff were masked to allocation. Primary outcomes were immune response at age 1 year to BCG, tetanus, and measles immunisation; incidence of infectious diseases during infancy; and vertical HIV transmission. Analysis was by intention-to-treat. This trial is registered, number ISRCTN32849447.</p></sec><sec><title>Findings</title><p>Data were available at delivery for 2356 women, with 2345 livebirths; 2115 (90%) of liveborn infants remained in follow-up at 1 year of age. Neither albendazole nor praziquantel treatments affected infant response to BCG, tetanus, or measles immunisation. However, in infants of mothers with hookworm infection, albendazole treatment reduced interleukin-5 (geometric mean ratio 0·50, 95% CI 0·30–0·81, interaction p=0·02) and interleukin-13 (0·52, 0·34–0·82, 0·0005) response to tetanus toxoid. The rate per 100 person-years of malaria was 40·9 (95% CI 38·3–43·7), of diarrhoea was 134·1 (129·2–139·2), and of pneumonia was 22·3 (20·4–24·4). We noted no effect on infectious disease incidence for albendazole treatment (malaria [hazard ratio 0·95, 95% CI 0·79–1.14], diarrhoea [1·06, 0·96–1·16], pneumonia [1·11, 0·90–1·38]) or praziquantel treatment (malaria [1·00, 0·84–1·20], diarrhoea [1·07, 0·98–1·18], pneumonia [1·00, 0·80–1·24]). In HIV-exposed infants, 39 (18%) were infected at 6 weeks; vertical transmission was not associated with albendazole (odds ratio 0·70, 95% CI 0·35–1·42) or praziquantel (0·60, 0·29–1·23) treatment.</p></sec><sec><title>Interpretation</title><p>These results do not accord with the recently advocated policy of routine antenatal anthelmintic treatment, and the value of such a policy may need to be reviewed.</p></sec><sec><title>Funding</title><p>Wellcome Trust.</p></sec></abstract></article-meta></front><body><sec id="cesec10"><title>Introduction</title><p>Worldwide, infectious diseases account for more than 50% of deaths of children younger than 5 years; pneumonia, diarrhoeal disease, and malaria are the three most common causes.<xref rid="bib1" ref-type="bibr"><sup>1</sup></xref> More than half of these deaths occur in sub-Saharan Africa, where roughly 2·5 million children younger than 5 years are estimated to die every year from one of these three diseases. Immunisation is a key strategy to combat infectious diseases, but immunisation programmes in developing countries vary in effectiveness.<xref rid="bib2" ref-type="bibr"><sup>2</sup></xref> For example, increases in measles immunisation coverage have led to substantial falls in the incidence of measles;<xref rid="bib3" ref-type="bibr"><sup>3</sup></xref> by contrast, despite high immunisation coverage, the prevalence of tuberculosis is high in sub-Saharan Africa, and is one of the leading causes of deaths in adults.<xref rid="bib4" ref-type="bibr"><sup>4</sup></xref> BCG is the only available vaccine against tuberculosis and its effectiveness is lowest in countries closest to the equator.<xref rid="bib5 bib6" ref-type="bibr"><sup>5,6</sup></xref> Soil-transmitted helminth infections and schistosomiasis are also prevalent in developing countries,<xref rid="bib7" ref-type="bibr"><sup>7</sup></xref> and their geographical distribution has extensive overlap with areas in which rates of infectious diseases are highest and the effectiveness of BCG immunisation is lowest.<xref rid="bib8 bib9" ref-type="bibr"><sup>8,9</sup></xref> Such overlap in disease distributions has led to the suggestion that chronic helminth infections could affect the epidemiological patterns of other diseases,<xref rid="bib10" ref-type="bibr"><sup>10</sup></xref> through impairment of immune responses to immunisations and unrelated infections.</p><p>This hypothesis was supported by the finding that T-helper-1 (Th1) cell responses (characterised by interferon-γ production, induced by viral and bacterial antigens, and required for protection against mycobacteria and other intracellular pathogens) and T-helper-2 (Th2) cell responses (characterised by production of interleukins 4, 5, and 13 and induced by allergens such as helminth antigens) are mutually inhibitory.<xref rid="bib11 bib12 bib13" ref-type="bibr"><sup>11–13</sup></xref> However, helminth infections induce immunoregulation by various other mechanisms, such as interleukin-10 production, and affect responses to non-helminth antigens.<xref rid="bib14" ref-type="bibr"><sup>14</sup></xref> Thus helminth infections could inhibit protective Th1 responses to unrelated organisms, such as viruses, bacteria, and vaccines, by inducing a Th1 to Th2 switch and through immunoregulatory mechanisms. Several studies of animals and human beings lend support to this hypothesis.<xref rid="bib14" ref-type="bibr"><sup>14</sup></xref> Although helminth infections are generally thought to have detrimental effects on host responses to infectious pathogens, a beneficial effect against other diseases is also possible through suppression of pathological inflammatory responses; some researchers have suggested an inverse association between helminth infections and incidence of severe malaria.<xref rid="bib15" ref-type="bibr"><sup>15</sup></xref></p><p>Helminth infections are rare in infancy, when immunisations are given and many infectious disease-related deaths occur. However, evidence exists that prenatal exposure to maternal helminth infection could have important effects on an infant's immune response. Prenatal sensitisation to <italic>Wuchereria bancrofti</italic>, a filarial worm, is associated with increased susceptibility to <italic>W bancrofti</italic> infection in childhood,<xref rid="bib16" ref-type="bibr"><sup>16</sup></xref> and prenatal sensitisation to filarial or schistosome antigens with reduced Th1 and increased Th2 cytokine responses to mycobacterial antigens after BCG immunisation at birth.<xref rid="bib2 bib17" ref-type="bibr"><sup>2,17</sup></xref> Such findings suggest that prenatal exposure to maternal helminth infection modulates an infant's immune response to vaccination and infectious pathogens, and that anthelmintic treatment during pregnancy can prevent these effects. We designed this trial of anthelmintic treatment during pregnancy to address this hypothesis. We also examined effects of anthelmintic treatment during pregnancy on infant mortality, and on anaemia and growth at age 1 year, to assess the overall risks and benefits of anthelmintic treatment during pregnancy.</p></sec><sec sec-type="methods" id="cesec20"><title>Methods</title><sec id="cesec30"><title>Study design and patients</title><p>The study is described in detail elsewhere.<xref rid="bib18" ref-type="bibr"><sup>18</sup></xref> Briefly, the study area was Entebbe Municipality and Katabi subcounty, beside Lake Victoria, Uganda. The area is occupied by urban, rural, and fishing communities. Helminth infection is highly prevalent in the area,<xref rid="bib19" ref-type="bibr"><sup>19</sup></xref> and malaria, diarrhoea, and pneumonia are common in young children.<xref rid="bib20" ref-type="bibr"><sup>20</sup></xref> The study population consisted of pregnant women who presented at the government-funded antenatal clinic at Entebbe General Hospital between April 9, 2003, and Nov 24, 2005, where roughly 70% of pregnant women from the study area received antenatal care.<xref rid="bib21" ref-type="bibr"><sup>21</sup></xref> Women were included if resident in the study area, planning to deliver in the hospital, willing to know their HIV status, and in the second or third trimester of pregnancy. They were excluded if they had possible helminth-induced pathological changes (haemoglobin <80 g/L, clinically apparent severe liver disease, or diarrhoea with blood in stool), a history of an adverse reaction to anthelmintics, already been enrolled in the trial during an earlier pregnancy, or if the pregnancy was deemed abnormal by a midwife.</p><p>All participants gave written, informed consent. Ethics approval was given by the Uganda Virus Research Institute, Uganda National Council for Science and Technology, and London School of Hygiene and Tropical Medicine.</p></sec><sec id="cesec40"><title>Randomisation and masking</title><p>We used a two-by-two factorial design to randomly assign patients in a 1:1:1:1 ratio to receive simultaneously either single-dose albendazole (440 mg) and single-dose praziquantel (40 mg/kg), albendazole and a praziquantel-matching placebo, an albendazole-matching placebo and praziquantel, or an albendazole-matching placebo and a praziquantel-matching placebo (albendazole and matching placebo, Glaxosmithkline, Brentford, UK; praziquantel and matching placebo, Medochemie Ltd, Limassal, Cyprus). The randomisation code was generated by the trial statistician with a computer-generated random number sequence, with block size 100. Treatments were packed in sealed envelopes and labelled with an allocation number by colleagues at the Medical Research Council Unit in Entebbe who did not otherwise contribute to the trial. Treatments were allocated in numerical order by trained interviewer-counsellors who observed the patients taking the treatment correctly on enrolment to the study. Treatment allocation was masked from all participants and staff during the study.</p></sec><sec sec-type="methods" id="cesec50"><title>Procedures</title><p>Demographic and clinical details, and blood samples were obtained at screening; stool samples were obtained before enrolment. After enrolment, women continued to receive standard antenatal care, including haematinics, tetanus immunisation, and intermittent presumptive treatment for malaria twice after their first trimester of pregnancy; women with HIV were offered intrapartum and neonatal single-dose nevirapine for prevention of mother-to-child (vertical) HIV transmission.<xref rid="bib22" ref-type="bibr"><sup>22</sup></xref> Stool samples were obtained after delivery to assess effectiveness of anthelmintic treatment; thereafter, all mothers received praziquantel and albendazole. Infants received BCG and polio immunisation at birth; diphtheria, pertussis, tetanus, <italic>Haemophilus influenzae</italic>, hepatitis B, and polio immunisation at 6, 10, and 14 weeks; and measles immunisation at 9 months. Children also attended the study clinic when unwell; doctors diagnosed, treated, and recorded their illnesses. Community fieldworkers visited each participant's home twice a month, measured the child's temperature, and recorded symptoms reported by the child's carer. At age 12 months, blood and stool samples were obtained from the children and growth outcomes were measured. Children who were unwell at their 12-month visit were given appropriate treatment and asked to return to complete the visit procedures when well.</p><p>The primary outcomes were immune response at age 1 year to BCG, tetanus, and measles immunisation; incidence of malaria, diarrhoea, pneumonia, measles, and tuberculosis during infancy as diagnosed by doctors at the study clinic; and vertical HIV transmission.<xref rid="bib18" ref-type="bibr"><sup>18</sup></xref> Planned secondary outcomes were growth and anaemia at age 1 year. Community-reported data for illness events were included as a secondary outcome for comparison with doctor-diagnosed illness events from clinic visits. We also considered two additional unplanned secondary outcomes: infant mortality and asymptomatic malaria (presence of malaria parasitaemia) at 1 year of age.</p><p>Cytokine responses at 1 year of age to crude culture filtrate proteins of <italic>Mycobacterium tuberculosis</italic> (cCFP) were measured as an indicator of response to BCG immunisation. Cytokine responses at age 1 year to tetanus toxoid were measured as an indicator of response to tetanus immunisation. We examined stimulated interferon-γ (type 1), interleukin-5 (type 2), interleukin-13 (type 2), and interleukin-10 (regulatory) responses in a whole-blood assay, as previously described.<xref rid="bib23" ref-type="bibr"><sup>23</sup></xref> Total serum IgG, IgG4, and IgE responses to tetanus toxoid were measured by ELISA (<xref rid="sec1" ref-type="sec">webappendix p 1</xref>).</p><p>Total serum measles-specific IgG was measured by ELISA (Dade Behring/Siemens, Eschborn, Germany) according to the manufacturer's protocol. Immunological assays were done after all samples had been obtained, in a randomised sequence (by use of a computer-generated random number sequence), to avoid confounding of secular trends with variations in assay performance.</p><p>For the primary outcome, doctor-diagnosed illness events, clinical malaria was fever (temperature ≥37·5°C) with parasitaemia; diarrhoea was an infant's carer's definition, with stool frequency recorded;<xref rid="bib24" ref-type="bibr"><sup>24</sup></xref> pneumonia was cough with difficulty in breathing, and age-specific fast breathing;<xref rid="bib25" ref-type="bibr"><sup>25</sup></xref> measles was defined by standard clinical criteria and confirmed by measurement of specific antibody;<xref rid="bib26" ref-type="bibr"><sup>26</sup></xref> and children with suspected tuberculosis were investigated as clinically indicated.<xref rid="bib27" ref-type="bibr"><sup>27</sup></xref> For the secondary outcome, community-reported illnesses, febrile illness was defined as measured by fieldworkers (temperature ≥37·5°C) or as reported by the child's carer; diarrhoea as reported by the carer, with stool frequency recorded; presumptive pneumonia was cough with difficulty in breathing, or age-specific fast breathing as measured by fieldworkers.</p><p>Stool samples were examined for helminth ova with the Kato-Katz method<xref rid="bib28" ref-type="bibr"><sup>28</sup></xref> and by charcoal culture for <italic>Strongyloides sterocoralis</italic> infection;<xref rid="bib29" ref-type="bibr"><sup>29</sup></xref> two Kato-Katz slides were prepared from each sample and examined for hookworm ova within 30 mins of preparation, or examined the next day for other species. Hookworm and <italic>Schistosoma mansoni</italic> infections were classified into low, medium, and high intensities according to WHO guidelines.<xref rid="bib30" ref-type="bibr"><sup>30</sup></xref> Blood samples were examined by a modified Knott's method for <italic>Mansonella perstans</italic><xref rid="bib31" ref-type="bibr"><sup>31</sup></xref> and by thick film for malaria parasites. Haemoglobin was estimated by Coulter analyser (Beckman Coulter, Nyon, Switzerland). Quality control for Kato-Katz analyses was provided by the Vector Control Programme of the Ministry of Health, Uganda, and for haematology and malaria parasitology through the UK National External Quality Assessment Schemes.</p><p>Mothers' HIV serology was done by rapid test algorithm.<xref rid="bib30" ref-type="bibr"><sup>30</sup></xref> Blood was obtained from cord and at 6 weeks of age from infants of mothers with HIV for assessment of vertical HIV transmission. Plasma and whole blood cell pellet were separated by centrifugation and stored at −80°C until assays were done. For detection of HIV-1 proviral DNA in infants at 6 weeks, DNA was extracted from stored whole blood cell pellets and amplified by nested PCR of three conserved viral regions, <italic>tat, gp41</italic>, and <italic>nef</italic> (<xref rid="sec1" ref-type="sec">webappendix p 1</xref>). For both cord and 6-week samples, plasma HIV load was measured with Bayer Versant branched DNA assay version 3.0 (Bayer, Leverkusen, Germany) or Roche Amplicor HIV-1 RNA Monitor test version 1.5 (Roche, NJ, USA).</p><p>Infants were regarded as being HIV positive if the 6-week sample had a positive DNA PCR for any of the viral regions and a viral load of 1000 copies per mL or more; for four infants, only viral load data were available, so they were used to establish HIV status. Viral load and DNA-PCR results were concordant apart from one infant (viral load 6699 copies per mL, PCR negative) who was seronegative by rapid test algorithm at age 18 months and was classified as HIV negative. In infants with HIV infection, transmission was regarded as likely to have been intrauterine if the viral load in cord blood was 1000 copies per mL or more.</p></sec><sec id="cesec60"><title>Statistical analysis</title><p>Analysis was done after all children were older than 15 months. Data for samples and measurements obtained at routine, 1-year visits were included if the child attended within 2 months after their first birthday. Data for illness events and mortality were censored strictly at 1 year. Results for younger twins were excluded from all analyses.</p><p>On the basis of our preliminary study,<xref rid="bib32" ref-type="bibr"><sup>32</sup></xref> the planned cohort size of 2500 was expected to accrue 1860 person-years of follow-up in infancy and 1594 infants were expected to be seen at age 1 year. For either maternal treatment, assuming no interaction between treatments, this number would give 80% power to detect rate ratios of 0·82 for malaria, 0·91 for diarrhoea, and 0·76 for pneumonia, with p values of less than 0·05, assuming frequency of disease in the placebo groups to be 50 per 100 person-years for malaria,<xref rid="bib33" ref-type="bibr"><sup>33</sup></xref> 190 per 100 person-years for diarrhoea,<xref rid="bib34" ref-type="bibr"><sup>34</sup></xref> and 25 per 100 person-years for pneumonia.<xref rid="bib35" ref-type="bibr"><sup>35</sup></xref> Incidence of both tuberculosis and measles was expected to be low,<xref rid="bib18" ref-type="bibr"><sup>18</sup></xref> therefore only very large differences in incidence would be detected. Samples from 1594 infants assessed at 1 year would detect differences in infant cytokine responses of 0·11 log<sub>10</sub> between intervention groups.<xref rid="bib18 bib32" ref-type="bibr"><sup>18,32</sup></xref></p><p>The patients that were included in analysis for each of the primary outcomes differed because data for each outcome was obtained at different times. For immune response at age 1 year, analysis included all children who provided a blood sample at 1 year and who had received full BCG (for cCFP analysis) or tetanus (for tetanus toxoid analysis) immunisation at Entebbe Hospital; second-born twins were excluded. For incidence of infectious diseases during infancy, analysis included all liveborn children, excluding second-born twins. For vertical HIV transmission, analysis included all children whose mothers were not receiving highly-active antiretroviral therapy, and from whom blood samples at age 6 weeks were available; second-born twins were excluded.</p><p>Cytokine and antibody responses showed skewed distributions, with disproportionate numbers of zero values. Results were transformed to log<sub>10</sub>(concentration+1) and analysed by linear regression with bootstrapping to estimate bias-corrected accelerated confidence intervals.<xref rid="bib36" ref-type="bibr"><sup>36</sup></xref> Regression coefficients were back-transformed to give geometric mean ratios. Interactions were examined with Wald tests.</p><p>For doctor-diagnosed disease incidence, time at risk began at birth and was censored at loss to follow-up, death, or age 1 year. All children with known date of birth were included in the analysis until censoring, irrespective of whether they had made a clinic visit for illness. For each disease, we calculated incidence rates for all events. Disease episodes within 14 days of an initial presentation with the same disease were regarded as part of the same episode and excluded from the analysis; time at risk was adjusted accordingly, excluding these 14-day periods from the total person-time denominator. Hazard ratios (HRs) for effects of treatment were calculated with Cox regression, with robust SEs to allow for within-child clustering. For community-reported illness data, a generalised-estimating-equation approach with exchangeable correlation structure was used to model effects of treatment on repeated binary outcomes. Odds ratios (ORs) for the effects of treatment on vertical HIV transmission were calculated with logistic regression.</p><p>The prevalence of asymptomatic malaria at 1 year was compared between treatment groups with logistic regression. Infant mortality per 1000 livebirths was estimated from Kaplan-Meier survival probabilities to age 1 year, and effects of maternal anthelmintic treatment were assessed by Cox regression. Weight-for-age, height-for-age, and weight-for-height <italic>Z</italic> scores at 1 year were derived from WHO growth standard reference scales, with <ext-link ext-link-type="uri" xlink:href="http://www.who.int/childgrowth/software/en/">igrowup</ext-link> macros. We examined effects of maternal treatment on <italic>Z</italic> scores and on haemoglobin at 1 year by linear regression.</p><p>We did two prespecified subgroup analyses, examining effects of albendazole treatment in children of mothers with a hookworm infection, and effects of praziquantel treatment in children of mothers with schistosomiasis. Differences between subgroups were examined by fitting interaction terms in regression models. All p values were two-sided with no adjustment made for multiple comparisons. Analyses were done with Stata 10.1.</p></sec><sec id="cesec70"><title>Role of the funding source</title><p>The sponsor of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report. AME had full access to all the data in the study and had final responsibility for the decision to submit for publication.</p></sec></sec><sec id="cesec80"><title>Results</title><p>The <xref rid="fig1" ref-type="fig">figure</xref> shows the trial profile. 2507 women were randomly assigned to treatment groups, 1309 (52%) of whom were in the second trimester of pregnancy and 1195 (48%) of whom were in the third trimester of pregnancy. The median length of time between receiving the study intervention and delivery was 87 days (IQR 54–118). Data were available for 2356 women (94%) at delivery and there were 2345 livebirths; results for 30 liveborn younger twins or triplets were excluded, which left data for follow-up of 2315 liveborn infants. Of these infants, 2092 (90%) remained in follow-up at 1 year of age, of whom 1701 (81%) attended the 1-year visit. Baseline characteristics of mothers were similar between the four groups (<xref rid="tbl1" ref-type="table">table 1</xref>).<xref rid="bib37" ref-type="bibr"><sup>37</sup></xref> Mothers of children who did not contribute to follow-up were, on average, younger, more likely to be pregnant for the first time, have malaria or HIV infection, and have enrolled earlier during pregnancy than mothers of children who contributed to follow up (data not shown). Mothers of children who provided samples at 1 year of age were of higher socioeconomic status and less likely to reside in remote parts of the study area than were mothers of children who did not provide samples at age 1 year (data not shown).</p><p>At enrolment, 1693 (68%) of women were infected with at least one helminth species. Individual prevalences of each species were: hookworm 45%, <italic>M perstans</italic> 21%, <italic>S mansoni</italic> 18%, <italic>S stercoralis</italic> 12%, <italic>Trichuris trichiura</italic> 9%, and <italic>Ascaris lumbricoides</italic> 2%. Infections were generally mild, with 942 (85%) of hookworm infections and 297 (65%) of <italic>S mansoni</italic> infections classified as light. Subgroups of 648 mothers who received albendazole-matching placebo and 658 mothers who received praziquantel-matching placebo had three stool samples examined before being treated 6 weeks after delivery; in these women, the sensitivity of one stool sample compared with three stool samples was 89% for hookworm infection and 66% for schistosomiasis. 1957 mothers (78%) received at least one documented dose of tetanus immunisation during pregnancy; 1447 (74%) received all documented tetanus immunisations before the anthelmintic treatment intervention (median 4 days [IQR 3–7] before intervention).</p><p>We noted no evidence of interaction between maternal albendazole and praziquantel treatments for any outcome (all interaction p values>0·1; <xref rid="sec1" ref-type="sec">webappendix pp 3–4</xref>); therefore the effects of each treatment were assessed independently. Results for cytokine responses at age 1 year were available for 1542 infants, of whom 1506 had received BCG immunisation at birth at Entebbe Hospital and 1015 had received all three doses of tetanus immunisation at Entebbe Hospital. The proportion of infants for whom positive responses to cCFP and tetanus toxoid were detected varied by cytokine; for cCFP, 1356 (90%) infants had positive responses to interferon-γ, 449 (30%) had positive responses to interleukin 5, 1005 (67%) had positive responses to interleukin 13, and 1316 (87%) had positive responses to interleukin-10. For tetanus toxoid, 655 (65%) infants had positive responses to interferon-γ, 499 (49%) had positive responses to interleukin 5, 766 (75%) had positive responses to interleukin 13, and 498 (49%) had positive responses to interleukin 10.</p><p>Albendazole treatment of mothers was associated with a small reduction in unstimulated interleukin-10 production by their children (geometric mean ratio 0·83, 95% CI 0·70–0·98). We recorded no other overall effects of maternal treatment on unstimulated cytokine production. Results for effects on responses to stimulation were similar, irrespective of whether background cytokine production was subtracted (data not shown).</p><p>We detected no effects of either albendazole or praziquantel treatments on the overall antigen-specific response after immunisation (<xref rid="tbl2" ref-type="table">table 2</xref>). However, in infants of mothers with a hookworm infection, maternal albendazole treatment was associated with a small non-significant reduction in the interferon-γ response to cCFP and with reductions in their response to tetanus toxoid for the type 2 cytokines interleukin 5 and interleukin 13 (<xref rid="tbl3" ref-type="table">table 3</xref>). We recorded no significant effect of praziquantel treatment in infants of mothers with schistosomiasis (<xref rid="tbl3" ref-type="table">table 3</xref>).</p><p>We recorded no overall effects for either albendazole or praziquantel treatments on antibody concentrations for tetanus or measles (<xref rid="tbl2" ref-type="table">table 2</xref>), nor did we detect differential effects for either albendazole or praziquantel treatment according to susceptible worm species (<xref rid="tbl3" ref-type="table">table 3</xref>).</p><p>Of the 2315 liveborn children, 2083 (90%) made at least one illness-related clinic visit during infancy. The number of illness visits by children in all four treatment groups were similar (<xref rid="sec1" ref-type="sec">webappendix p 4</xref>). During the study period, the rate of malaria was 41 episodes per 100 person-years (95% CI 38–44), of diarrhoea 134 episodes per 100 person-years (129–139), and of pneumonia 22 episodes per 100 person-years (20–24). Measles and tuberculosis were rare, with two episodes of each, so we could not assess the effect of maternal anthelmintic treatment on their frequency.</p><p>We noted no evidence for effects of either albendazole or praziquantel treatments on doctor-diagnosed malaria, diarrhoea, or pneumonia incidence (<xref rid="tbl4" ref-type="table">table 4</xref>). Subgroup analyses by maternal hookworm and schistosomiasis infection status showed no evidence of a differential effect of either treatment according to susceptible worm species (<xref rid="tbl5" ref-type="table">table 5</xref>).</p><p>299 women tested positive for HIV at enrolment; of these, 16 were lost to follow-up before delivery, five had miscarriages, and nine had stillbirths. Five women were on highly-active antiretroviral therapy; their children, and seven second-born twins were excluded from the analysis, leaving 264 infants suitable for inclusion. 6-week blood samples were available from 211 infants (80%), of whom 39 (18%) were diagnosed with HIV infection. Of infants with HIV infection, 31 had cord samples available, of which 20 (65%) showed an HIV viral load of 1000 copies per mL or more, which is consistent with intrauterine HIV transmission. We recorded no evidence for any effect of either albendazole (OR 0·70, 95% CI 0·35–1·42; p=0·33) or praziquantel (0·60, 0·29–1·23; p=0·17) treatment on vertical HIV transmission, although statistical power was restricted because the study was only powered to detect a large effect for this outcome. No evidence was noted for any differential effect of treatment according to susceptible worm species; ORs for the effect of albendazole treatment on HIV transmission were 0·77 (0·25–2·40) in mothers with hookworm infection and 0·66 (0·27–1·60) in those without hookworm infection (interaction p=0·83). We recorded similar results for praziquantel (OR 0·75, 0·18–3·14, for mothers with schistosomiasis; 0·56, 0·24–1·29 for those without schistosomiasis; interaction p=0·73).</p><p>For the secondary outcome of community-reported illness data, the overall recorded prevalences of each illness collated every 14 days throughout infancy was 13% for febrile illness, 12% for diarrhoea, and 1% for presumptive pneumonia. These data were consistent with doctor-diagnosed outcomes and showed no effects of treatment with albendazole or praziquantel on febrile illnesses (OR 1·07, 95% CI 0·97–1·18, p=0·18; and 1·03, 0·93–1·13, 0·58), diarrhoea (1·08, 0·98–1·20, 0·13; and 0·93, 0·84–1·03, 0·18), or presumptive pneumonia (0·92, 0·65–1·31, 0·66; and 0·91, 0·64–1·30, 0·62). The prevalence of asymptomatic malaria parasitaemia at 1 year was similar between treatment groups (<xref rid="sec1" ref-type="sec">webappendix p 5</xref>).</p><p>81 infants in the cohort died, 44 of whom were neonates, giving a neonatal mortality rate of 19·0 per 1000 livebirths (95% CI 14·2–25·5) and an infant mortality rate of 35·7 per 1000 livebirths (28·8–44·2). Maternal anthelmintic treatment had no pronounced effect on mortality (<xref rid="sec1" ref-type="sec">webappendix p 5</xref>). Height-for-age and weight-for-age <italic>Z</italic> scores were low compared with the WHO standards; however, the weight-for-height distribution was similar. Mean haemoglobin score at age 1 year was 102 g/L (SD 14 g/L). We noted no evidence for any difference in mean growth indices or mean haemoglobin between children of albendazole-treated and placebo-treated mothers, or between children of praziquantel-treated and placebo-treated mothers (<xref rid="sec1" ref-type="sec">webappendix p 5</xref>). Numbers of serious adverse events are reported elsewhere<xref rid="bib19" ref-type="bibr"><sup>19</sup></xref> and were distributed evenly between treatment groups.</p></sec><sec id="cesec90"><title>Discussion</title><p>In this randomised, placebo-controlled trial, we have shown that maternal anthelmintic treatment during pregnancy can have a small effect on an infant's response to tetanus immunisation, but has no effects, either beneficial or detrimental, on the occurrence of infectious diseases during infancy, infant mortality, or growth and anaemia outcomes at 1 year of age. One dose of albendazole was effective for the treatment of hookworm and <italic>A lumbricoides</italic> infections, and praziquantel was effective for the treatment of schistosomiasis. At delivery, the prevalence of hookworm infections had decreased to 5% in the albendazole group, and remained at 45% in the placebo group; the prevalence of <italic>S mansoni</italic> infection had decreased to 5% in the praziquantel group, and remained at 21% in the placebo group.<xref rid="bib37" ref-type="bibr"><sup>37</sup></xref> Thus we would have expected to see any noticeable effects of the removal of these maternal helminth infections. A possible source of imprecision is that the Kato-Katz method has suboptimum sensitivity for diagnosis of intestinal helminth infections when one stool sample is used.<xref rid="bib38 bib39" ref-type="bibr"><sup>38,39</sup></xref> In this study, the sensitivity for detecting both hookworm infection and schistosomiasis was greater when three stool samples were taken than when only one was taken. As expected, one dose of albendazole was not effective for treatment of <italic>S stercoralis, T trichiura</italic>, or <italic>M perstans</italic>.<xref rid="bib37" ref-type="bibr"><sup>37</sup></xref></p><p>Albendazole treatment in pregnancy was associated with reduced interleukin-5 and interleukin-13 responses to tetanus toxoid in infants of mothers with hookworm infection. These results should be interpreted with caution because of the large number of statistical tests done, but they accord with earlier findings<xref rid="bib40 bib41" ref-type="bibr"><sup>40,41</sup></xref> on effects of helminths on type-2 responses to tetanus immunisation in adults; by contrast with these previous studies,<xref rid="bib40 bib41" ref-type="bibr"><sup>40,41</sup></xref> we recorded no reciprocal effect on interferon-γ response. Such responses will probably not change the effectiveness of tetanus immunisation, because this immunisation depends on the production of toxin-neutralising IgG antibodies, which was not affected by maternal treatment. However, the patterns recorded lend support to the hypothesis that maternal helminths promote a type-2 bias in an infant's response to unrelated antigens and that anthelmintic treatment modifies this effect. These findings suggest that the effect of anthelmintic treatment can be transmitted in utero.</p><p>Neither intervention showed any overall effect on response to BCG immunisation in infants. Our preliminary study<xref rid="bib32" ref-type="bibr"><sup>32</sup></xref> had suggested an unexpected positive association between maternal hookworm infection and interferon-γ responses to cCFP in infants. In the present, larger study, interferon-γ responses were higher in infants of mothers with hookworm infection, and albendazole treatment was associated with a weak reduction in interferon-γ responses in infants of women with hookworm infection. These findings contrast with our initial hypothesis that maternal hookworm infection would inhibit the Th1 response and that albendazole treatment would reverse this effect. The absence of effect of praziquantel treatment was also unexpected, in view of Malhotra and colleagues' finding<xref rid="bib17" ref-type="bibr"><sup>17</sup></xref> that infants who are sensitised to schistosome or filarial antigens in utero had reduced interferon-γ and increased interleukin-5 responses to neonatal BCG immunisation. However, all infants in Malhotra and colleagues' study were exposed to maternal helminth infections, and comparisons were made between those not sensitised or sensitised to helminth antigens.<xref rid="bib17" ref-type="bibr"><sup>17</sup></xref> The idea that single-dose praziquantel treatment completely removes the likelihood of fetal sensitisation to schistosome antigens might be too simplistic, because worm and egg antigens can take some time to be cleared from maternal tissues. Moreover, the killing of adult schistosomes results in release of worm antigen into the circulation and might have complex effects on the fetus, dependent on placental transfer of antigens or antibodies and the stage of development of the fetal immune system.<xref rid="bib41 bib42" ref-type="bibr"><sup>41,42</sup></xref></p><p>The recorded effects on an infant's response to tetanus immunisation contrasted with the absence of effects seen for measles and BCG. A possible explanation is that tetanus immunisation given to women during pregnancy could have led to the priming of an infant's antitetanus response in utero,<xref rid="bib42" ref-type="bibr"><sup>42</sup></xref> and the profile of the primed response could have been affected by concomitant exposure to a maternal helminth infection, which depended on whether or not an infant's mother received treatment with albendazole.</p><p>In keeping with the broad absence of effect of maternal anthelmintic treatment on an infant's response to vaccination, we recorded no effect of either treatment for the co-primary outcome of infectious disease incidence during infancy. A possible source of imprecision is that data for doctor-diagnosed disease incidence were obtained passively, and therefore rates are likely to have been underestimated. However, 90% of infants attended the clinic for illness at least once, and underestimation would be non-differential between treatment groups; therefore this imprecision is unlikely to have affected our findings. Moreover, results from community-reported illness events (which are less likely to be under-reported), and malaria parasitaemia at 1 year of age (which is independent of reporting biases) were both consistent with the recorded absence of treatment effect. We also detected no evidence that anthelmintic treatment affected vertical transmission of HIV, although power to detect an effect was restricted.</p><p>The only other study<xref rid="bib43" ref-type="bibr"><sup>43</sup></xref> to investigate the relation between anthelmintic treatment during pregnancy and post-neonatal outcomes, undertaken in Nepal, showed that treatment with albendazole during pregnancy was associated with a pronounced reduction in infant mortality at 6 months. We recorded no such effect, although the number of deaths in the cohort was small so the possibility of a reduction cannot be ruled out. The Nepal study was not randomised and recorded a 41% reduction in 6-month mortality associated with two doses of albendazole but no effect on infant mortality for one dose. The researchers speculated that the greater benefit of two doses might result from prevention of reinfection between treatment and delivery, but this theory would not explain the contrast with our findings, because only 5% of women who received albendazole in our study had hookworm infection at delivery.<xref rid="bib19" ref-type="bibr"><sup>19</sup></xref></p><p>Our analyses needed many statistical tests, especially for the measurement of cytokine responses to immunisation, because we aimed to assess overall response profiles rather than concentrations of only one cytokine. Consistency between all cytokine responses was expected, and can be interpreted as compelling evidence of an effect, compared with isolated change in an individual response. Therefore we did not increase confidence limits or use methods that assume independence of tests to formally adjust p values. In the event, very few outcomes showed any evidence of association at a p value less than 0·05 so absence of adjustment for multiplicity is unlikely to have affected the interpretation of our results.</p><p>A strength of this study was the randomised intervention design; effects of helminth infections reported in observational studies could have been affected by confounding factors. Our findings do not show that exposure to maternal helminth infections in utero has no important effect on the development of the fetal immune system. Some observational studies<xref rid="bib16 bib17" ref-type="bibr"><sup>16,17</sup></xref> do suggest such an effect. Rather, our findings suggest that one effective anthelmintic intervention given in the second or third trimester of pregnancy is insufficient to alter any effect of maternal worms on vaccine and infectious disease outcomes in infancy. This study examined only effects of maternal anthelmintic treatment on vaccine responses and disease incidence in newborn children. Further studies are needed to assess the effects of anthelmintic treatment on these outcomes in the individual who receives the treatment.</p><p>Our results are generalisable to areas with high prevalence but low intensity of helminth infection in young adults, which is a common pattern in areas that are endemic for helminth infection. Findings might differ in populations with higher infection intensities. These results suggest that, in settings such as Entebbe Municipality and Katabi subcounty, single-dose anthelmintic treatment during pregnancy has no benefit for an infant's response to immunisation, or for their health and development.</p><p>We have previously reported a similar absence of effect on maternal and perinatal outcomes.<xref rid="bib37" ref-type="bibr"><sup>37</sup></xref> These results contrast with the expected benefits of routine antenatal anthelmintic treatment recently advocated,<xref rid="bib44" ref-type="bibr"><sup>44</sup></xref> and the value of such a policy may need to be reviewed. 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Material</title><p><supplementary-material content-type="local-data" id="ecomp10"><caption><title>Supplementary webappendix</title></caption><media xlink:href="mmc1.pdf" mimetype="application" mime-subtype="pdf"></media></supplementary-material></p></sec><ack><sec><title>Acknowledgments</title><p>The study was funded by <funding-source id="GS1">Wellcome Trust</funding-source> grant numbers 064693 and 079110; <funding-source id="GS2">Medical Research Council (MRC) staff were supported by MRC programme</funding-source> grant E743; ELW was supported by the UK MRC; and HM was supported in part by a <funding-source id="GS3">Wellcome Trust PhD studentship</funding-source>, grant number 074791. Mycobacterial antigens were provided through <funding-source id="GS4">the National Institutes of Health</funding-source> contract NOI-AI-25147. We thank all staff and participants of the Entebbe Mother and Baby Study, the midwives of the Entebbe Hospital Maternity Department, the community field team in Entebbe and Katabi, and the staff of the Clinical Diagnostic Services Laboratory at the MRC/UVRI Uganda Research Unit on AIDS. We thank Richard Hayes for helpful comments on the manuscript.</p></sec></ack><ack><title>Contributors</title><p>AME had the idea for, designed, and led the study. PAM and PBN contributed to sample processing; PAM did all the cytokine assays. DK led the work on measles antibodies, and AN led the work on tetanus antibodies, under the supervision of AME and RT. JNd led the clinical component of the study. JK-L led the virological investigations with a PCR assay developed by BN. MN, HM, MA, NL, MKiz, RK, JNa, and CA contributed to recruitment and follow-up of participants and to clinical care. LM, PWW, HA, and JNd contributed to data management and analysis. MKih and JB did parasitological investigations. ELW did the statistical analysis. ELW and AME drafted the report, with contributions to interpretation of the results and preparation of the manuscript from JNd and HM. JNd, PBN, MM, and JAGW contributed to the design and implementation of the study. ELW, PAM, JNd, DK, AN, and JK-L contributed equally to the work. All authors reviewed the final paper.</p></ack><ack><title>Conflicts of interest</title><p>JAGW is now a member of staff with the Wellcome Trust, the funders of the study. His role in the initial design and implementation of the study preceded his appointment at the Wellcome Trust. He has had no role in the study since his appointment. All other authors declare that they have no conflicts of interest.</p></ack></back><floats-group><fig id="fig1"><label>Figure</label><caption><p>Trial profile</p></caption><graphic xlink:href="gr1"></graphic></fig><table-wrap id="tbl1" position="float"><label>Table 1</label><caption><p>Baseline characteristics</p></caption><table frame="hsides" rules="groups"><thead><tr><th></th><th align="left"><bold>Albendazole+ praziquantel (n=628)</bold></th><th align="left"><bold>Praziquantel only (n=626)</bold></th><th align="left"><bold>Albendazole only (n=625)</bold></th><th align="left"><bold>Placebo (n=628)</bold></th></tr></thead><tbody><tr><td colspan="5" align="left"><bold>Age (years)</bold></td></tr><tr><td align="left"><20</td><td align="left">145 (23%)</td><td align="left">165 (26%)</td><td align="left">162 (26%)</td><td align="left">158 (25%)</td></tr><tr><td align="left">20–24</td><td align="left">223 (36%)</td><td align="left">230 (37%)</td><td align="left">238 (38%)</td><td align="left">255 (41%)</td></tr><tr><td align="left">25–29</td><td align="left">159 (25%)</td><td align="left">143 (23%)</td><td align="left">139 (22%)</td><td align="left">122 (19%)</td></tr><tr><td align="left">30–34</td><td align="left">66 (11%)</td><td align="left">62 (10%)</td><td align="left">55 (9%)</td><td align="left">70 (11%)</td></tr><tr><td align="left">≥35</td><td align="left">35 (6%)</td><td align="left">26 (4%)</td><td align="left">31 (5%)</td><td align="left">23 (4%)</td></tr><tr><td colspan="5" align="left"><bold>Education (4 missing values)</bold></td></tr><tr><td align="left">None</td><td align="left">25 (4%)</td><td align="left">23 (4%)</td><td align="left">17 (3%)</td><td align="left">32 (5%)</td></tr><tr><td align="left">Primary</td><td align="left">311 (50%)</td><td align="left">318 (51%)</td><td align="left">318 (51%)</td><td align="left">316 (50%)</td></tr><tr><td align="left">Secondary</td><td align="left">235 (37%)</td><td align="left">229 (37%)</td><td align="left">244 (39%)</td><td align="left">226 (36%)</td></tr><tr><td align="left">Tertiary</td><td align="left">56 (9%)</td><td align="left">55 (9%)</td><td align="left">45 (7%)</td><td align="left">53 (8%)</td></tr><tr><td colspan="5" align="left"><bold>Tribe (1 missing value)</bold></td></tr><tr><td align="left">Baganda</td><td align="left">303 (48%)</td><td align="left">314 (50%)</td><td align="left">313 (50%)</td><td align="left">301 (48%)</td></tr><tr><td align="left">Banyankole</td><td align="left">64 (10%)</td><td align="left">47 (8%)</td><td align="left">56 (9%)</td><td align="left">67 (11%)</td></tr><tr><td align="left">Batoro</td><td align="left">19 (3%)</td><td align="left">27 (4%)</td><td align="left">24 (4%)</td><td align="left">32 (5%)</td></tr><tr><td align="left">Basoga</td><td align="left">36 (6%)</td><td align="left">23 (4%)</td><td align="left">27 (4%)</td><td align="left">20 (3%)</td></tr><tr><td align="left">Luo</td><td align="left">32 (5%)</td><td align="left">41 (7%)</td><td align="left">30 (5%)</td><td align="left">37 (6%)</td></tr><tr><td align="left">Banyarwanda</td><td align="left">38 (6%)</td><td align="left">36 (6%)</td><td align="left">31 (5%)</td><td align="left">37 (6%)</td></tr><tr><td align="left">Others</td><td align="left">136 (22%)</td><td align="left">138 (22%)</td><td align="left">144 (23%)</td><td align="left">133 (21%)</td></tr><tr><td colspan="5" align="left"><bold>Household socioeconomic status (49 missing values)</bold><xref rid="tbl1fn1" ref-type="table-fn">*</xref></td></tr><tr><td align="left">1 (low)</td><td align="left">33 (5%)</td><td align="left">40 (7%)</td><td align="left">35 (6%)</td><td align="left">39 (6%)</td></tr><tr><td align="left">2</td><td align="left">54 (9%)</td><td align="left">57 (9%)</td><td align="left">54 (9%)</td><td align="left">52 (8%)</td></tr><tr><td align="left">3</td><td align="left">190 (31%)</td><td align="left">199 (33%)</td><td align="left">182 (30%)</td><td align="left">194 (32%)</td></tr><tr><td align="left">4</td><td align="left">174 (28%)</td><td align="left">174 (28%)</td><td align="left">179 (29%)</td><td align="left">183 (30%)</td></tr><tr><td align="left">5</td><td align="left">130 (21%)</td><td align="left">109 (18%)</td><td align="left">131 (21%)</td><td align="left">115 (19%)</td></tr><tr><td align="left">6 (high)</td><td align="left">37 (6%)</td><td align="left">32 (5%)</td><td align="left">33 (5%)</td><td align="left">32 (5%)</td></tr><tr><td colspan="5" align="left"><bold>Gravidity</bold></td></tr><tr><td align="left">1</td><td align="left">178 (28%)</td><td align="left">172 (27%)</td><td align="left">181 (29%)</td><td align="left">164 (26%)</td></tr><tr><td align="left">2–4</td><td align="left">339 (54%)</td><td align="left">354 (57%)</td><td align="left">350 (56%)</td><td align="left">369 (59%)</td></tr><tr><td align="left">≥5</td><td align="left">111 (18%)</td><td align="left">100 (16%)</td><td align="left">94 (15%)</td><td align="left">95 (15%)</td></tr><tr><td colspan="5" align="left"><bold>Helminth infections</bold></td></tr><tr><td align="left">Hookworm (11 missing values)</td><td align="left">270 (43%)</td><td align="left">301 (48%)</td><td align="left">262 (42%)</td><td align="left">277 (44%)</td></tr><tr><td align="left"><italic>Schistosoma mansoni</italic> (11 missing values)</td><td align="left">117 (19%)</td><td align="left">104 (17%)</td><td align="left">123 (20%)</td><td align="left">114 (18%)</td></tr><tr><td align="left"><italic>Mansonella perstans</italic> (8 missing values)</td><td align="left">135 (22%)</td><td align="left">136 (22%)</td><td align="left">117 (19%)</td><td align="left">143 (23%)</td></tr><tr><td colspan="5" align="left"><bold>HIV status</bold></td></tr><tr><td align="left">Positive</td><td align="left">79 (13%)</td><td align="left">61 (10%)</td><td align="left">71 (11%)</td><td align="left">88 (14%)</td></tr><tr><td colspan="5" align="left"><bold>Malaria parasitaemia (48 missing values)</bold></td></tr><tr><td align="left">Positive</td><td align="left">61 (10%)</td><td align="left">59 (10%)</td><td align="left">63 (10%)</td><td align="left">85 (14%)</td></tr></tbody></table><table-wrap-foot><fn><p>Data have been previously reported by Ndibazza and colleagues.<xref rid="bib37" ref-type="bibr"><sup>37</sup></xref></p></fn></table-wrap-foot><table-wrap-foot><fn id="tbl1fn1"><label>*</label><p>Household socioeconomic status was scored on the basis of building materials of the home, number of rooms, and items owned.</p></fn></table-wrap-foot></table-wrap><table-wrap id="tbl2" position="float"><label>Table 2</label><caption><p>Effects of maternal anthelmintic treatment in pregnancy on infant response to BCG, tetanus, and measles immunisation</p></caption><table frame="hsides" rules="groups"><thead><tr><th></th><th></th><th colspan="2" align="left"><bold>Geometric mean</bold><xref rid="tbl2fn1" ref-type="table-fn">*</xref><hr></hr></th><th align="left"><bold>Geometric mean ratio (95% CI)</bold><xref rid="tbl2fn2" ref-type="table-fn">†</xref></th><th colspan="2" align="left"><bold>Geometric mean</bold><xref rid="tbl2fn1" ref-type="table-fn">*</xref><hr></hr></th><th align="left"><bold>Geometric mean ratio (95% CI)</bold><xref rid="tbl2fn2" ref-type="table-fn">†</xref></th></tr><tr><th></th><th></th><th align="left">Albendazole</th><th align="left">Placebo</th><th></th><th align="left">Praziquantel</th><th align="left">Placebo</th><th></th></tr></thead><tbody><tr><td colspan="8" align="left"><bold>Cytokine responses</bold></td></tr><tr><td colspan="8" align="left">cCFP<xref rid="tbl2fn3" ref-type="table-fn">‡</xref></td></tr><tr><td></td><td align="left">Interferon-γ (pg/mL)</td><td align="left">322</td><td align="left">313</td><td align="left">1·03 (0·83–1·27)</td><td align="left">320</td><td align="left">314</td><td align="left">1·02 (0·82–1·26)</td></tr><tr><td></td><td align="left">Interleukin 5 (pg/mL)</td><td align="left">3·5</td><td align="left">3·8</td><td align="left">0·91 (0·74–1·11)</td><td align="left">3·6</td><td align="left">3·7</td><td align="left">0·95 (0·78–1·17)</td></tr><tr><td></td><td align="left">Interleukin 13 (pg/mL)</td><td align="left">17</td><td align="left">18</td><td align="left">0·95 (0·77–1·18)</td><td align="left">18</td><td align="left">17</td><td align="left">1·05 (0·84–1·30)</td></tr><tr><td></td><td align="left">Interleukin 10 (pg/mL)</td><td align="left">90</td><td align="left">102</td><td align="left">0·88 (0·73–1·06)</td><td align="left">98</td><td align="left">95</td><td align="left">1·03 (0·85–1·24)</td></tr><tr><td colspan="8" align="left">Tetanus toxoid<xref rid="tbl2fn4" ref-type="table-fn">§</xref></td></tr><tr><td></td><td align="left">Interferon-γ (pg/mL)</td><td align="left">31</td><td align="left">36</td><td align="left">0·85 (0·61–1·20)</td><td align="left">34</td><td align="left">33</td><td align="left">1·03 (0·75–1·44)</td></tr><tr><td></td><td align="left">Interleukin 5 (pg/mL)</td><td align="left">10</td><td align="left">13</td><td align="left">0·76 (0·56–1·04)</td><td align="left">11</td><td align="left">11</td><td align="left">0·93 (0·68–1·27)</td></tr><tr><td></td><td align="left">Interleukin 13 (pg/mL)</td><td align="left">40</td><td align="left">41</td><td align="left">0·97 (0·73–1·27)</td><td align="left">37</td><td align="left">44</td><td align="left">0·84 (0·63–1·12)</td></tr><tr><td></td><td align="left">Interleukin 10 (pg/mL)</td><td align="left">4·7</td><td align="left">5·9</td><td align="left">0·79 (0·61–1·02)</td><td align="left">5·0</td><td align="left">5·6</td><td align="left">0·89 (0·69–1·16)</td></tr><tr><td colspan="8" align="left"><bold>Antibody concentrations</bold></td></tr><tr><td colspan="8" align="left">Tetanus toxoid<xref rid="tbl2fn5" ref-type="table-fn">¶</xref></td></tr><tr><td></td><td align="left">Total IgG (mIU/mL)</td><td align="left">160</td><td align="left">251</td><td align="left">0·64 (0·39–1·05)</td><td align="left">227</td><td align="left">176</td><td align="left">1·32 (0·78–2·12)</td></tr><tr><td></td><td align="left">IgG4 (ng/mL)</td><td align="left">50</td><td align="left">69</td><td align="left">0·72 (0·37–1·37)</td><td align="left">48</td><td align="left">71</td><td align="left">0·68 (0·36–1·29)</td></tr><tr><td></td><td align="left">IgE (ng/mL)</td><td align="left">1389</td><td align="left">1507</td><td align="left">0·92 (0·76–1·11)</td><td align="left">1460</td><td align="left">1430</td><td align="left">1·02 (0·85–1·24)</td></tr><tr><td colspan="8" align="left">Measles<xref rid="tbl2fn6" ref-type="table-fn">‖</xref></td></tr><tr><td></td><td align="left">Total IgG (mIU/mL)</td><td align="left">336</td><td align="left">348</td><td align="left">0·96 (0·85–1·10)</td><td align="left">332</td><td align="left">353</td><td align="left">0·94 (0·83–1·07)</td></tr></tbody></table><table-wrap-foot><fn><p>cCFP=crude culture filtrate proteins of <italic>Mycobacterium tuberculosis</italic>.</p></fn></table-wrap-foot><table-wrap-foot><fn id="tbl2fn1"><label>*</label><p>Geometric mean of response concentration + 1.</p></fn></table-wrap-foot><table-wrap-foot><fn id="tbl2fn2"><label>†</label><p>Bias-corrected accelerated CIs computed by bootstrapping.</p></fn></table-wrap-foot><table-wrap-foot><fn id="tbl2fn3"><label>‡</label><p>cCFP cytokine responses were available for 1506 infants given BCG at Entebbe hospital.</p></fn></table-wrap-foot><table-wrap-foot><fn id="tbl2fn4"><label>§</label><p>Tetanus toxoid cytokine results were available for 1015 infants who received all three doses of tetanus toxoid; one missing value for interferon-γ response.</p></fn></table-wrap-foot><table-wrap-foot><fn id="tbl2fn5"><label>¶</label><p>Tetanus toxoid antibody results were available for 1058 (IgG), 1057 (IgG4), and 979 (IgE) infants who received all three doses of tetanus toxoid.</p></fn></table-wrap-foot><table-wrap-foot><fn id="tbl2fn6"><label>‖</label><p>Measles antibody results were available for 1233 infants who received measles immunisation.</p></fn></table-wrap-foot></table-wrap><table-wrap id="tbl3" position="float"><label>Table 3</label><caption><p>Effect of maternal anthelmintic treatment on response to BCG, tetanus, and measles immunisation, by maternal helminth infection status</p></caption><table frame="hsides" rules="groups"><thead><tr><th></th><th colspan="3" align="left"><bold>Albendazole</bold><hr></hr></th><th colspan="3" align="left"><bold>Praziquantel</bold><hr></hr></th></tr><tr><th></th><th align="left">Effect of treatment in women with hookworm infection (GMR, 95% CI)</th><th align="left">Effect of treatment in women without hookworm infection (GMR, 95% CI)</th><th align="left">p value for interaction</th><th align="left">Effect of treatment in women with schistosomiasis (GMR, 95% CI)</th><th align="left">Effect of treatment in women without schistosomiasis (GMR, 95% CI)</th><th align="left">p value for interaction</th></tr></thead><tbody><tr><td colspan="7" align="left"><bold>cCFP</bold><xref rid="tbl3fn1" ref-type="table-fn">*</xref></td></tr><tr><td align="left">Interferon-γ</td><td align="left">0·73 (0·52–1·02)</td><td align="left">1·31 (1·00–1·74)</td><td align="left">0·009</td><td align="left">0·88 (0·50–1·56)</td><td align="left">1·05 (0·83–1·33)</td><td align="left">0·56</td></tr><tr><td align="left">Interleukin 5</td><td align="left">1·06 (0·78–1·44)</td><td align="left">0·82 (0·62–1·08)</td><td align="left">0·22</td><td align="left">1·20 (0·75–1·87)</td><td align="left">0·91 (0·73–1·15)</td><td align="left">0·30</td></tr><tr><td align="left">Interleukin 13</td><td align="left">0·96 (0·69–1·32)</td><td align="left">0·95 (0·70–1·26)</td><td align="left">0·97</td><td align="left">1·07 (0·64–1·80)</td><td align="left">1·04 (0·82–1·32)</td><td align="left">0·92</td></tr><tr><td align="left">Interleukin 10</td><td align="left">0·93 (0·70–1·26)</td><td align="left">0·85 (0·66–1·08)</td><td align="left">0·62</td><td align="left">1·14 (0·68–1·92)</td><td align="left">1·00 (0·82–1·22)</td><td align="left">0·65</td></tr><tr><td colspan="7" align="left"><bold>Tetanus toxoid</bold><xref rid="tbl3fn2" ref-type="table-fn">†</xref></td></tr><tr><td align="left">Interferon–γ</td><td align="left">0·61 (0·36–1·05)</td><td align="left">1·08 (0·71–1·66)</td><td align="left">0·10</td><td align="left">0·71 (0·32–1·60)</td><td align="left">1·11 (0·78–1·60)</td><td align="left">0·32</td></tr><tr><td align="left">Interleukin 5</td><td align="left">0·50 (0·30–0·81)</td><td align="left">1·02 (0·68–1·52)</td><td align="left">0·02</td><td align="left">0·60 (0·30–1·28)</td><td align="left">1·02 (0·72–1·43)</td><td align="left">0·19</td></tr><tr><td align="left">Interleukin 13</td><td align="left">0·52 (0·34–0·82)</td><td align="left">1·45 (1·02–2·10)</td><td align="left">0·0005</td><td align="left">0·56 (0·28–1·09)</td><td align="left">0·92 (0·68–1·25)</td><td align="left">0·18</td></tr><tr><td align="left">Interleukin 10</td><td align="left">0·74 (0·48–1·13)</td><td align="left">0·83 (0·59–1·16)</td><td align="left">0·68</td><td align="left">0·94 (0·52–1·71)</td><td align="left">0·89 (0·66–1·18)</td><td align="left">0·86</td></tr><tr><td colspan="7" align="left"><bold>Tetanus toxoid</bold><xref rid="tbl3fn3" ref-type="table-fn">‡</xref></td></tr><tr><td align="left">Total IgG</td><td align="left">0·52 (0·24–1·16)</td><td align="left">0·74 (0·39–1·42)</td><td align="left">0·51</td><td align="left">0·72 (0·22–2·40)</td><td align="left">1·43 (0·83–2·49)</td><td align="left">0·30</td></tr><tr><td align="left">IgG4</td><td align="left">0·71 (0·25–1·96)</td><td align="left">0·74 (0·31–1·71)</td><td align="left">0·95</td><td align="left">0·51 (0·10–2·56)</td><td align="left">0·71 (0·36–1·45)</td><td align="left">0·72</td></tr><tr><td align="left">IgE</td><td align="left">0·93 (0·69–1·25)</td><td align="left">0·92 (0·71–1·16)</td><td align="left">0·95</td><td align="left">0·70 (0·45–1·17)</td><td align="left">1·10 (0·90–1·36)</td><td align="left">0·09</td></tr><tr><td colspan="7" align="left"><bold>Measles</bold><xref rid="tbl3fn4" ref-type="table-fn">§</xref></td></tr><tr><td align="left">Total IgG</td><td align="left">1·02 (0·83–1·26)</td><td align="left">0·93 (0·79–1·09)</td><td align="left">0·51</td><td align="left">0·92 (0·69–1·24)</td><td align="left">0·94 (0·82–1·08)</td><td align="left">0·88</td></tr></tbody></table><table-wrap-foot><fn><p>cCFP=crude culture filtrate proteins of <italic>Mycobacterium tuberculosis</italic>. GMR=geometric mean ratio.</p></fn></table-wrap-foot><table-wrap-foot><fn id="tbl3fn1"><label>*</label><p>cCFP cytokine responses were available for 1506 infants given BCG at Entebbe Hospital; four missing values in this analysis for infants of women with no stool result for Kato-Katz analysis.</p></fn></table-wrap-foot><table-wrap-foot><fn id="tbl3fn2"><label>†</label><p>Tetanus toxoid cytokine results were available for 1015 infants who received all three doses of tetanus toxoid; two missing values in this analysis for infants of women with no stool result for Kato-Katz analysis; one missing value for interferon-γ response to tetanus toxoid.</p></fn></table-wrap-foot><table-wrap-foot><fn id="tbl3fn3"><label>‡</label><p>Tetanus toxoid antibody results were available for 1058 (IgG), 1057 (IgG4), and 979 (IgE) infants who received all three doses of tetanus toxoid; one missing value in this analysis for an infant of a woman with no stool result for Kato-Katz analysis.</p></fn></table-wrap-foot><table-wrap-foot><fn id="tbl3fn4"><label>§</label><p>Measles antibody results were available for 1233 infants who received measles immunisation; three missing values in this analysis for infants of women with no stool result for Kato-Katz analysis.</p></fn></table-wrap-foot></table-wrap><table-wrap id="tbl4" position="float" orientation="landscape"><label>Table 4</label><caption><p>Effects of maternal anthelmintic treatment in pregnancy on incidence of malaria, diarrhoea, and pneumonia in infancy</p></caption><table frame="hsides" rules="groups"><thead><tr><th></th><th colspan="2" align="left"><bold>Albendazole</bold><hr></hr></th><th colspan="2" align="left"><bold>Albendazole-matching placebo</bold><hr></hr></th><th align="left"><bold>HR (95% CI)</bold><xref rid="tbl4fn1" ref-type="table-fn">*</xref></th><th align="left"><bold>p value</bold><xref rid="tbl4fn1" ref-type="table-fn">*</xref></th><th colspan="2" align="left"><bold>Praziquantel</bold><hr></hr></th><th colspan="2" align="left"><bold>Praziquantel-matching placebo</bold><hr></hr></th><th align="left"><bold>HR (95% CI)</bold><xref rid="tbl4fn2" ref-type="table-fn">†</xref></th><th align="left"><bold>p value</bold><xref rid="tbl4fn2" ref-type="table-fn">†</xref></th></tr><tr><th></th><th align="left">Events (person-years)</th><th align="left">Rate per 100 person-years (95% CI)</th><th align="left">Events (person-years)</th><th align="left">Rate per 100 person-years (95% CI)</th><th></th><th></th><th align="left">Events (person–years)</th><th align="left">Rate per 100 person–years (95% CI)</th><th align="left">Events (person–years)</th><th align="left">Rate per 100 person–years (95% CI)</th><th></th><th></th></tr></thead><tbody><tr><td align="left">Malaria</td><td align="left">431 (1081)</td><td align="left">39·9 (36·3–43·8)</td><td align="left">446 (1062)</td><td align="left">42·0 (38·3–46·1)</td><td align="left">0·95 (0·79–1·14)</td><td align="left">0·56</td><td align="left">440 (1073)</td><td align="left">41·0 (37·3–45·0)</td><td align="left">437 (1070)</td><td align="left">40·9 (37·2–44·9)</td><td align="left">1·00 (0·84–1·20)</td><td align="left">0·97</td></tr><tr><td align="left">Diarrhoea</td><td align="left">1438 (1043)</td><td align="left">137·9 (131·0–145·3)</td><td align="left">1339 (1029)</td><td align="left">130·2 (123·4–137·3)</td><td align="left">1·06 (0·96–1·16)</td><td align="left">0·24</td><td align="left">1437 (1036)</td><td align="left">138·7 (131·7–146·1)</td><td align="left">1340 (1035)</td><td align="left">129·4 (122·7–136·6)</td><td align="left">1·07 (0·98–1·18)</td><td align="left">0·15</td></tr><tr><td align="left">Pneumonia</td><td align="left">256 (1087)</td><td align="left">23·5 (20·8–26·6)</td><td align="left">226 (1070)</td><td align="left">21·1 (18·5–24·1)</td><td align="left">1·11 (0·90–1·38)</td><td align="left">0·33</td><td align="left">241 (1081)</td><td align="left">22·3 (19·7–25·3)</td><td align="left">241 (1077)</td><td align="left">22·4 (19·7–25·4)</td><td align="left">1·00 (0·80–1·24)</td><td align="left">0·97</td></tr></tbody></table><table-wrap-foot><fn><p>HR=hazard ratio.</p></fn></table-wrap-foot><table-wrap-foot><fn id="tbl4fn1"><label>*</label><p>Between albendazole and albendazole-matching placebo.</p></fn></table-wrap-foot><table-wrap-foot><fn id="tbl4fn2"><label>†</label><p>Between praziquantel and praziquantel-matching placebo.</p></fn></table-wrap-foot></table-wrap><table-wrap id="tbl5" position="float"><label>Table 5</label><caption><p>Effect of maternal anthelmintic treatment in pregnancy on disease incidence, by maternal helminth status</p></caption><table frame="hsides" rules="groups"><thead><tr><th></th><th colspan="3" align="left"><bold>Albendazole</bold><hr></hr></th><th colspan="3" align="left"><bold>Praziquantel</bold><hr></hr></th></tr><tr><th></th><th align="left">Effect of treatment in women with hookworm infection HR (95% CI)</th><th align="left">Effect of treatment in women without hookworm infection HR (95% CI)</th><th align="left">p value for interaction</th><th align="left">Effect of treatment in women with schistosomiasis HR (95% CI)</th><th align="left">Effect of treatment in women without schistosomiasis HR (95% CI)</th><th align="left">p value for interaction</th></tr></thead><tbody><tr><td align="left">Malaria<xref rid="tbl5fn1" ref-type="table-fn">*</xref></td><td align="left">1·01 (0·78–1·31)</td><td align="left">0·89 (0·69–1·15)</td><td align="left">0·48</td><td align="left">0·94 (0·62–1·41)</td><td align="left">1·03 (0·84–1·26)</td><td align="left">0·70</td></tr><tr><td align="left">Diarrhoea<xref rid="tbl5fn1" ref-type="table-fn">*</xref></td><td align="left">1·10 (0·95–1·27)</td><td align="left">1·02 (0·90–1·16)</td><td align="left">0·44</td><td align="left">1·23 (0·99–1·54)</td><td align="left">1·05 (0·94–1·16)</td><td align="left">0·18</td></tr><tr><td align="left">Pneumonia<xref rid="tbl5fn1" ref-type="table-fn">*</xref></td><td align="left">1·08 (0·77–1·53)</td><td align="left">1·12 (0·85–1·48)</td><td align="left">0·88</td><td align="left">0·94 (0·61–1·45)</td><td align="left">1·01 (0·79–1·30)</td><td align="left">0·79</td></tr></tbody></table><table-wrap-foot><fn><p>HR=hazard ratio.</p></fn></table-wrap-foot><table-wrap-foot><fn id="tbl5fn1"><label>*</label><p>Excludes nine women with no stool result for Kato-Katz analysis.</p></fn></table-wrap-foot></table-wrap></floats-group></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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