Factors associated with performing tuberculosis screening of HIV-positive patients in Ghana: LASSO-based predictor selection in a large public health data set.
Identifieur interne : 000054 ( PubMed/Curation ); précédent : 000053; suivant : 000055Factors associated with performing tuberculosis screening of HIV-positive patients in Ghana: LASSO-based predictor selection in a large public health data set.
Auteurs : Susanne Mueller-Using [Allemagne] ; Torsten Feldt [Allemagne] ; Fred Stephen Sarfo [Ghana] ; Kirsten Alexandra Eberhardt [Allemagne]Source :
- BMC public health [ 1471-2458 ] ; 2016.
Descripteurs français
- KwdFr :
- Adulte, Adulte d'âge moyen, Algorithmes, Analyse multivariée, Association triméthoprime-sulfaméthoxazole (usage thérapeutique), Dépistage systématique (), Dépistage systématique (normes), Femelle, Ghana, Humains, Infections à VIH (), Infections à VIH (sang), Infections à VIH (traitement médicamenteux), Lymphocytes T CD4+, Modèles logistiques, Mâle, Santé publique (), Surveillance de la population, Tuberculose (), Tuberculose (diagnostic).
- MESH :
- diagnostic : Tuberculose.
- normes : Dépistage systématique.
- sang : Infections à VIH.
- traitement médicamenteux : Infections à VIH.
- usage thérapeutique : Association triméthoprime-sulfaméthoxazole.
- Adulte, Adulte d'âge moyen, Algorithmes, Analyse multivariée, Dépistage systématique, Femelle, Ghana, Humains, Infections à VIH, Lymphocytes T CD4+, Modèles logistiques, Mâle, Santé publique, Surveillance de la population, Tuberculose.
English descriptors
- KwdEn :
- Adult, Algorithms, CD4-Positive T-Lymphocytes, Female, Ghana, HIV Infections (blood), HIV Infections (complications), HIV Infections (drug therapy), Humans, Logistic Models, Male, Mass Screening (methods), Mass Screening (standards), Mass Screening (statistics & numerical data), Middle Aged, Multivariate Analysis, Population Surveillance, Public Health (statistics & numerical data), Trimethoprim, Sulfamethoxazole Drug Combination (therapeutic use), Tuberculosis (diagnosis), Tuberculosis (prevention & control).
- MESH :
- chemical , therapeutic use : Trimethoprim, Sulfamethoxazole Drug Combination.
- blood : HIV Infections.
- complications : HIV Infections.
- diagnosis : Tuberculosis.
- drug therapy : HIV Infections.
- methods : Mass Screening.
- prevention & control : Tuberculosis.
- standards : Mass Screening.
- statistics & numerical data : Mass Screening, Public Health.
- Adult, Algorithms, CD4-Positive T-Lymphocytes, Female, Ghana, Humans, Logistic Models, Male, Middle Aged, Multivariate Analysis, Population Surveillance.
Abstract
The purpose of this study is to propose the Least Absolute Shrinkage and Selection Operators procedure (LASSO) as an alternative to conventional variable selection models, as it allows for easy interpretation and handles multicollinearities. We developed a model on the basis of LASSO-selected parameters in order to link associated demographical, socio-economical, clinical and immunological factors to performing tuberculosis screening in HIV-positive patients in Ghana.
DOI: 10.1186/s12889-016-3239-y
PubMed: 27412114
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VIH</term><term>Lymphocytes T CD4+</term><term>Modèles logistiques</term><term>Mâle</term><term>Santé publique</term><term>Surveillance de la population</term><term>Tuberculose</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The purpose of this study is to propose the Least Absolute Shrinkage and Selection Operators procedure (LASSO) as an alternative to conventional variable selection models, as it allows for easy interpretation and handles multicollinearities. We developed a model on the basis of LASSO-selected parameters in order to link associated demographical, socio-economical, clinical and immunological factors to performing tuberculosis screening in HIV-positive patients in Ghana.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">27412114</PMID><DateCreated><Year>2016</Year><Month>07</Month><Day>14</Day></DateCreated><DateCompleted><Year>2017</Year><Month>09</Month><Day>01</Day></DateCompleted><DateRevised><Year>2017</Year><Month>09</Month><Day>01</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1471-2458</ISSN><JournalIssue CitedMedium="Internet"><Volume>16</Volume><PubDate><Year>2016</Year><Month>Jul</Month><Day>13</Day></PubDate></JournalIssue><Title>BMC public health</Title><ISOAbbreviation>BMC Public Health</ISOAbbreviation></Journal><ArticleTitle>Factors associated with performing tuberculosis screening of HIV-positive patients in Ghana: LASSO-based predictor selection in a large public health data set.</ArticleTitle><Pagination><MedlinePgn>563</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1186/s12889-016-3239-y</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">The purpose of this study is to propose the Least Absolute Shrinkage and Selection Operators procedure (LASSO) as an alternative to conventional variable selection models, as it allows for easy interpretation and handles multicollinearities. We developed a model on the basis of LASSO-selected parameters in order to link associated demographical, socio-economical, clinical and immunological factors to performing tuberculosis screening in HIV-positive patients in Ghana.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">Applying the LASSO method and multivariate logistic regression analysis on a large public health data set, we selected relevant predictors related to tuberculosis screening.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">One Thousand Ninety Five patients infected with HIV were enrolled into this study with 691 (63.2 %) of them having tuberculosis screening documented in their patient folders. Predictors found to be significantly associated with performance of tuberculosis screening can be classified into factors related to the clinician's perception of the clinical state, as well as those related to PLHIV's awareness. These factors include newly diagnosed HIV infections (n = 354 (32.42 %), aOR 1.84), current CD4+ T cell count (aOR 0.92), non-availability of HIV type (n = 787 (72.07 %), aOR 0.56), chronic cough (n = 32 (2.93 %), aOR 5.07), intake of co-trimoxazole (n = 271 (24.82 %), aOR 2.31), vitamin supplementation (n = 220 (20.15 %), aOR 2.64) as well as the use of mosquito bed nets (n = 613 (56.14 %), aOR 1.53).</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">Accelerated TB screening among newly diagnosed HIV-patients indicates that application of the WHO screening form for intensifying tuberculosis case finding among HIV-positive individuals in resource-limited settings is increasingly adopted. However, screening for TB in PLHIV is still impacted by clinician's perception of patient's health state and PLHIV's health awareness. Education of staff, counselling of PLHIV and sufficient financing are needed for further improvement in implementation of TB screening for all PLHIV. The LASSO approach proved a convenient method for automatic variable selection in a large public health data set that requires efficient and fast algorithms.</AbstractText><AbstractText Label="TRIALS REGISTRATION" NlmCategory="BACKGROUND">ClinicalTrials.gov NCT01897909 (July 5, 2013).</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Mueller-Using</LastName><ForeName>Susanne</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Bernhard Nocht Institute for Tropical Medicine, Bernhard Nocht Str. 74, 20359, Hamburg, Germany.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Hamburg Institute of International Economics, Heimhuder Str. 71, 20148, Hamburg, Germany.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Feldt</LastName><ForeName>Torsten</ForeName><Initials>T</Initials><AffiliationInfo><Affiliation>Bernhard Nocht Institute for Tropical Medicine, Bernhard Nocht Str. 74, 20359, Hamburg, Germany.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Clinic of Gastroenterology, Hepatology and Infectious Diseases, University Hospital of the Heinrich Heine University Duesseldorf, Moorenstr. 5, 40225, Duesseldorf, Germany.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Sarfo</LastName><ForeName>Fred Stephen</ForeName><Initials>FS</Initials><AffiliationInfo><Affiliation>Kwame Nkrumah University of Science and Technology, University Post Office - KNUST, Kumasi, Ghana.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Komfo Anokye Teaching Hospital, P.O. Box 1934, Kumasi, Ghana.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Eberhardt</LastName><ForeName>Kirsten Alexandra</ForeName><Initials>KA</Initials><AffiliationInfo><Affiliation>Bernhard Nocht Institute for Tropical Medicine, Bernhard Nocht Str. 74, 20359, Hamburg, Germany. k.eberhardt@bnitm.de.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><DataBankList CompleteYN="Y"><DataBank><DataBankName>ClinicalTrials.gov</DataBankName><AccessionNumberList><AccessionNumber>NCT01897909</AccessionNumber></AccessionNumberList></DataBank></DataBankList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2016</Year><Month>07</Month><Day>13</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>BMC Public Health</MedlineTA><NlmUniqueID>100968562</NlmUniqueID><ISSNLinking>1471-2458</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>8064-90-2</RegistryNumber><NameOfSubstance UI="D015662">Trimethoprim, Sulfamethoxazole Drug Combination</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>PLoS One. 2015 May 01;10(5):e0123524</RefSource><PMID Version="1">25932629</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Trans R Soc Trop Med Hyg. 2014 Sep;108(9):560-7</RefSource><PMID Version="1">25059522</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Tuberc Res Treat. 2013;2013:419385</RefSource><PMID Version="1">24381756</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>PLoS One. 2015 Mar 27;10(3):e0120031</RefSource><PMID Version="1">25815719</PMID></CommentsCorrections><CommentsCorrections 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Version="1">22905358</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Int AIDS Soc. 2011 Jul 06;14 Suppl 1:S5</RefSource><PMID Version="1">21967874</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Clin Infect Dis. 2010 May 15;50 Suppl 3:S238-44</RefSource><PMID Version="1">20397954</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Infect Dis Poverty. 2012 Dec 24;1(1):13</RefSource><PMID Version="1">23849044</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>PLoS Med. 2011 Jan 18;8(1):e1000391</RefSource><PMID Version="1">21267059</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>PLoS One. 2013;8(3):e57791</RefSource><PMID Version="1">23469242</PMID></CommentsCorrections></CommentsCorrectionsList><MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000465" MajorTopicYN="Y">Algorithms</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015496" MajorTopicYN="N">CD4-Positive T-Lymphocytes</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005869" MajorTopicYN="N">Ghana</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015658" MajorTopicYN="N">HIV Infections</DescriptorName><QualifierName UI="Q000097" MajorTopicYN="N">blood</QualifierName><QualifierName UI="Q000150" MajorTopicYN="Y">complications</QualifierName><QualifierName UI="Q000188" MajorTopicYN="N">drug therapy</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016015" MajorTopicYN="N">Logistic Models</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008403" MajorTopicYN="N">Mass Screening</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName><QualifierName UI="Q000592" MajorTopicYN="N">standards</QualifierName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015999" MajorTopicYN="N">Multivariate Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011159" MajorTopicYN="Y">Population Surveillance</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011634" MajorTopicYN="N">Public Health</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D015662" MajorTopicYN="N">Trimethoprim, Sulfamethoxazole Drug Combination</DescriptorName><QualifierName UI="Q000627" MajorTopicYN="N">therapeutic use</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D014376" MajorTopicYN="N">Tuberculosis</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="Y">diagnosis</QualifierName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName></MeshHeading></MeshHeadingList><OtherID Source="NLM">PMC4944423</OtherID><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">HIV/AIDS</Keyword><Keyword MajorTopicYN="N">LASSO</Keyword><Keyword MajorTopicYN="N">Sub-Saharan Africa</Keyword><Keyword MajorTopicYN="N">Tuberculosis screening</Keyword><Keyword MajorTopicYN="N">Variable selection</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2015</Year><Month>12</Month><Day>10</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2016</Year><Month>06</Month><Day>28</Day></PubMedPubDate><PubMedPubDate 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