Serveur d'exploration sur le Covid à Stanford

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Development and validation of a 30-day mortality index based on pre-existing medical administrative data from 13,323 COVID-19 patients: The Veterans Health Administration COVID-19 (VACO) Index.

Identifieur interne : 000628 ( Main/Exploration ); précédent : 000627; suivant : 000629

Development and validation of a 30-day mortality index based on pre-existing medical administrative data from 13,323 COVID-19 patients: The Veterans Health Administration COVID-19 (VACO) Index.

Auteurs : Joseph T. King [États-Unis] ; James S. Yoon [États-Unis] ; Christopher T. Rentsch [États-Unis, Royaume-Uni] ; Janet P. Tate [États-Unis] ; Lesley S. Park [États-Unis] ; Farah Kidwai-Khan [États-Unis] ; Melissa Skanderson [États-Unis] ; Ronald G. Hauser [États-Unis] ; Daniel A. Jacobson [États-Unis] ; Joseph Erdos [États-Unis] ; Kelly Cho [États-Unis] ; Rachel Ramoni [États-Unis] ; David R. Gagnon [États-Unis] ; Amy C. Justice [États-Unis]

Source :

RBID : pubmed:33175863

Descripteurs français

English descriptors

Abstract

BACKGROUND

Available COVID-19 mortality indices are limited to acute inpatient data. Using nationwide medical administrative data available prior to SARS-CoV-2 infection from the US Veterans Health Administration (VA), we developed the VA COVID-19 (VACO) 30-day mortality index and validated the index in two independent, prospective samples.

METHODS AND FINDINGS

We reviewed SARS-CoV-2 testing results within the VA between February 8 and August 18, 2020. The sample was split into a development cohort (test positive between March 2 and April 15, 2020), an early validation cohort (test positive between April 16 and May 18, 2020), and a late validation cohort (test positive between May 19 and July 19, 2020). Our logistic regression model in the development cohort considered demographics (age, sex, race/ethnicity), and pre-existing medical conditions and the Charlson Comorbidity Index (CCI) derived from ICD-10 diagnosis codes. Weights were fixed to create the VACO Index that was then validated by comparing area under receiver operating characteristic curves (AUC) in the early and late validation cohorts and among important validation cohort subgroups defined by sex, race/ethnicity, and geographic region. We also evaluated calibration curves and the range of predictions generated within age categories. 13,323 individuals tested positive for SARS-CoV-2 (median age: 63 years; 91% male; 42% non-Hispanic Black). We observed 480/3,681 (13%) deaths in development, 253/2,151 (12%) deaths in the early validation cohort, and 403/7,491 (5%) deaths in the late validation cohort. Age, multimorbidity described with CCI, and a history of myocardial infarction or peripheral vascular disease were independently associated with mortality-no other individual comorbid diagnosis provided additional information. The VACO Index discriminated mortality in development (AUC = 0.79, 95% CI: 0.77-0.81), and in early (AUC = 0.81 95% CI: 0.78-0.83) and late (AUC = 0.84, 95% CI: 0.78-0.86) validation. The VACO Index allows personalized estimates of 30-day mortality after COVID-19 infection. For example, among those aged 60-64 years, overall mortality was estimated at 9% (95% CI: 6-11%). The Index further discriminated risk in this age stratum from 4% (95% CI: 3-7%) to 21% (95% CI: 12-31%), depending on sex and comorbid disease.

CONCLUSION

Prior to infection, demographics and comorbid conditions can discriminate COVID-19 mortality risk overall and within age strata. The VACO Index reproducibly identified individuals at substantial risk of COVID-19 mortality who might consider continuing social distancing, despite relaxed state and local guidelines.


DOI: 10.1371/journal.pone.0241825
PubMed: 33175863
PubMed Central: PMC7657526


Affiliations:


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<name sortKey="Park, Lesley S" sort="Park, Lesley S" uniqKey="Park L" first="Lesley S" last="Park">Lesley S. Park</name>
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<name sortKey="Skanderson, Melissa" sort="Skanderson, Melissa" uniqKey="Skanderson M" first="Melissa" last="Skanderson">Melissa Skanderson</name>
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<name sortKey="Jacobson, Daniel A" sort="Jacobson, Daniel A" uniqKey="Jacobson D" first="Daniel A" last="Jacobson">Daniel A. Jacobson</name>
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<nlm:affiliation>Department of Psychology, University of Tennessee Knoxville, Knoxville, Tennesee, United States of America.</nlm:affiliation>
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<name sortKey="Erdos, Joseph" sort="Erdos, Joseph" uniqKey="Erdos J" first="Joseph" last="Erdos">Joseph Erdos</name>
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<nlm:affiliation>Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, United States of America.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut</wicri:regionArea>
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<region type="state">Connecticut</region>
</placeName>
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<name sortKey="Cho, Kelly" sort="Cho, Kelly" uniqKey="Cho K" first="Kelly" last="Cho">Kelly Cho</name>
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<nlm:affiliation>VA Boston Healthcare System, U.S. Department of Veterans Affairs, Boston, Massachusetts, United States of America.</nlm:affiliation>
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<region type="state">Massachusetts</region>
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<nlm:affiliation>Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States of America.</nlm:affiliation>
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<wicri:regionArea>Department of Medicine, Harvard Medical School, Boston, Massachusetts</wicri:regionArea>
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<region type="state">Massachusetts</region>
</placeName>
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<nlm:affiliation>Division of Aging, Brigham and Women's Hospital, Boston, Massachusetts, United States of America.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
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<region type="state">Massachusetts</region>
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<name sortKey="Ramoni, Rachel" sort="Ramoni, Rachel" uniqKey="Ramoni R" first="Rachel" last="Ramoni">Rachel Ramoni</name>
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<name sortKey="Gagnon, David R" sort="Gagnon, David R" uniqKey="Gagnon D" first="David R" last="Gagnon">David R. Gagnon</name>
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<region type="state">Connecticut</region>
</placeName>
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<nlm:affiliation>Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America.</nlm:affiliation>
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<name sortKey="Justice, Amy C" sort="Justice, Amy C" uniqKey="Justice A" first="Amy C" last="Justice">Amy C. Justice</name>
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</placeName>
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<title level="j">PloS one</title>
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<term>Adult (MeSH)</term>
<term>Age Factors (MeSH)</term>
<term>Aged (MeSH)</term>
<term>Aged, 80 and over (MeSH)</term>
<term>Area Under Curve (MeSH)</term>
<term>Betacoronavirus (isolation & purification)</term>
<term>COVID-19 (MeSH)</term>
<term>Comorbidity (MeSH)</term>
<term>Coronavirus Infections (mortality)</term>
<term>Coronavirus Infections (pathology)</term>
<term>Coronavirus Infections (virology)</term>
<term>Databases, Factual (MeSH)</term>
<term>Ethnic Groups (MeSH)</term>
<term>Female (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Logistic Models (MeSH)</term>
<term>Male (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>Pandemics (MeSH)</term>
<term>Pneumonia, Viral (mortality)</term>
<term>Pneumonia, Viral (pathology)</term>
<term>Pneumonia, Viral (virology)</term>
<term>ROC Curve (MeSH)</term>
<term>Risk Factors (MeSH)</term>
<term>SARS-CoV-2 (MeSH)</term>
<term>Veterans Health (MeSH)</term>
<term>Young Adult (MeSH)</term>
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<term>Adulte (MeSH)</term>
<term>Adulte d'âge moyen (MeSH)</term>
<term>Aire sous la courbe (MeSH)</term>
<term>Bases de données factuelles (MeSH)</term>
<term>Betacoronavirus (isolement et purification)</term>
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<term>Courbe ROC (MeSH)</term>
<term>Ethnies (MeSH)</term>
<term>Facteurs de risque (MeSH)</term>
<term>Facteurs âges (MeSH)</term>
<term>Femelle (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Infections à coronavirus (anatomopathologie)</term>
<term>Infections à coronavirus (mortalité)</term>
<term>Infections à coronavirus (virologie)</term>
<term>Jeune adulte (MeSH)</term>
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<term>Pneumopathie virale</term>
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<term>Pneumopathie virale</term>
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<front>
<div type="abstract" xml:lang="en">
<p>
<b>BACKGROUND</b>
</p>
<p>Available COVID-19 mortality indices are limited to acute inpatient data. Using nationwide medical administrative data available prior to SARS-CoV-2 infection from the US Veterans Health Administration (VA), we developed the VA COVID-19 (VACO) 30-day mortality index and validated the index in two independent, prospective samples.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>METHODS AND FINDINGS</b>
</p>
<p>We reviewed SARS-CoV-2 testing results within the VA between February 8 and August 18, 2020. The sample was split into a development cohort (test positive between March 2 and April 15, 2020), an early validation cohort (test positive between April 16 and May 18, 2020), and a late validation cohort (test positive between May 19 and July 19, 2020). Our logistic regression model in the development cohort considered demographics (age, sex, race/ethnicity), and pre-existing medical conditions and the Charlson Comorbidity Index (CCI) derived from ICD-10 diagnosis codes. Weights were fixed to create the VACO Index that was then validated by comparing area under receiver operating characteristic curves (AUC) in the early and late validation cohorts and among important validation cohort subgroups defined by sex, race/ethnicity, and geographic region. We also evaluated calibration curves and the range of predictions generated within age categories. 13,323 individuals tested positive for SARS-CoV-2 (median age: 63 years; 91% male; 42% non-Hispanic Black). We observed 480/3,681 (13%) deaths in development, 253/2,151 (12%) deaths in the early validation cohort, and 403/7,491 (5%) deaths in the late validation cohort. Age, multimorbidity described with CCI, and a history of myocardial infarction or peripheral vascular disease were independently associated with mortality-no other individual comorbid diagnosis provided additional information. The VACO Index discriminated mortality in development (AUC = 0.79, 95% CI: 0.77-0.81), and in early (AUC = 0.81 95% CI: 0.78-0.83) and late (AUC = 0.84, 95% CI: 0.78-0.86) validation. The VACO Index allows personalized estimates of 30-day mortality after COVID-19 infection. For example, among those aged 60-64 years, overall mortality was estimated at 9% (95% CI: 6-11%). The Index further discriminated risk in this age stratum from 4% (95% CI: 3-7%) to 21% (95% CI: 12-31%), depending on sex and comorbid disease.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>CONCLUSION</b>
</p>
<p>Prior to infection, demographics and comorbid conditions can discriminate COVID-19 mortality risk overall and within age strata. The VACO Index reproducibly identified individuals at substantial risk of COVID-19 mortality who might consider continuing social distancing, despite relaxed state and local guidelines.</p>
</div>
</front>
</TEI>
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<Year>2020</Year>
<Month>11</Month>
<Day>18</Day>
</DateCompleted>
<DateRevised>
<Year>2020</Year>
<Month>12</Month>
<Day>18</Day>
</DateRevised>
<Article PubModel="Electronic-eCollection">
<Journal>
<ISSN IssnType="Electronic">1932-6203</ISSN>
<JournalIssue CitedMedium="Internet">
<Volume>15</Volume>
<Issue>11</Issue>
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</PubDate>
</JournalIssue>
<Title>PloS one</Title>
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<ArticleTitle>Development and validation of a 30-day mortality index based on pre-existing medical administrative data from 13,323 COVID-19 patients: The Veterans Health Administration COVID-19 (VACO) Index.</ArticleTitle>
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</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1371/journal.pone.0241825</ELocationID>
<Abstract>
<AbstractText Label="BACKGROUND">Available COVID-19 mortality indices are limited to acute inpatient data. Using nationwide medical administrative data available prior to SARS-CoV-2 infection from the US Veterans Health Administration (VA), we developed the VA COVID-19 (VACO) 30-day mortality index and validated the index in two independent, prospective samples.</AbstractText>
<AbstractText Label="METHODS AND FINDINGS">We reviewed SARS-CoV-2 testing results within the VA between February 8 and August 18, 2020. The sample was split into a development cohort (test positive between March 2 and April 15, 2020), an early validation cohort (test positive between April 16 and May 18, 2020), and a late validation cohort (test positive between May 19 and July 19, 2020). Our logistic regression model in the development cohort considered demographics (age, sex, race/ethnicity), and pre-existing medical conditions and the Charlson Comorbidity Index (CCI) derived from ICD-10 diagnosis codes. Weights were fixed to create the VACO Index that was then validated by comparing area under receiver operating characteristic curves (AUC) in the early and late validation cohorts and among important validation cohort subgroups defined by sex, race/ethnicity, and geographic region. We also evaluated calibration curves and the range of predictions generated within age categories. 13,323 individuals tested positive for SARS-CoV-2 (median age: 63 years; 91% male; 42% non-Hispanic Black). We observed 480/3,681 (13%) deaths in development, 253/2,151 (12%) deaths in the early validation cohort, and 403/7,491 (5%) deaths in the late validation cohort. Age, multimorbidity described with CCI, and a history of myocardial infarction or peripheral vascular disease were independently associated with mortality-no other individual comorbid diagnosis provided additional information. The VACO Index discriminated mortality in development (AUC = 0.79, 95% CI: 0.77-0.81), and in early (AUC = 0.81 95% CI: 0.78-0.83) and late (AUC = 0.84, 95% CI: 0.78-0.86) validation. The VACO Index allows personalized estimates of 30-day mortality after COVID-19 infection. For example, among those aged 60-64 years, overall mortality was estimated at 9% (95% CI: 6-11%). The Index further discriminated risk in this age stratum from 4% (95% CI: 3-7%) to 21% (95% CI: 12-31%), depending on sex and comorbid disease.</AbstractText>
<AbstractText Label="CONCLUSION">Prior to infection, demographics and comorbid conditions can discriminate COVID-19 mortality risk overall and within age strata. The VACO Index reproducibly identified individuals at substantial risk of COVID-19 mortality who might consider continuing social distancing, despite relaxed state and local guidelines.</AbstractText>
</Abstract>
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<AffiliationInfo>
<Affiliation>VA Connecticut Healthcare System, U.S. Department of Veterans Affairs, West Haven, Connecticut, United States of America.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Department of Neurosurgery, Yale School of Medicine, New Haven, Connecticut, United States of America.</Affiliation>
</AffiliationInfo>
</Author>
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<LastName>Yoon</LastName>
<ForeName>James S</ForeName>
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<Affiliation>VA Connecticut Healthcare System, U.S. Department of Veterans Affairs, West Haven, Connecticut, United States of America.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Department of Neurosurgery, Yale School of Medicine, New Haven, Connecticut, United States of America.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Yale School of Medicine, New Haven, Connecticut, United States of America.</Affiliation>
</AffiliationInfo>
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<Affiliation>VA Connecticut Healthcare System, U.S. Department of Veterans Affairs, West Haven, Connecticut, United States of America.</Affiliation>
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<AffiliationInfo>
<Affiliation>Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.</Affiliation>
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<AffiliationInfo>
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<AffiliationInfo>
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<AffiliationInfo>
<Affiliation>The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee Knoxville, Knoxville, Tennessee, United States of America.</Affiliation>
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<Reference>
<Citation>Ann Intern Med. 1999 Mar 16;130(6):515-24</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">10075620</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>BMJ. 2020 Mar 26;368:m1198</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32217618</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Med Care. 2006 Aug;44(8 Suppl 2):S13-24</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">16849964</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>J Chronic Dis. 1987;40(5):373-83</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">3558716</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>J Am Coll Cardiol. 2020 May 12;75(18):2352-2371</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32201335</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>JAMA Cardiol. 2020 Jul 1;5(7):802-810</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32211816</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Clin Chem Lab Med. 2020 Jun 25;58(7):1021-1028</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32286245</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Lancet Respir Med. 2020 Apr;8(4):e21</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32171062</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Popul Health Metr. 2006 Apr 10;4:2</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">16606453</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>MMWR Morb Mortal Wkly Rep. 2020 Mar 27;69(12):343-346</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32214079</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>J Travel Med. 2020 Mar 13;27(2):</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32052841</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Am J Prev Med. 2012 May;42(5):473-80</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">22516487</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>N Engl J Med. 2020 Apr 30;382(18):1708-1720</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32109013</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>JAMA Intern Med. 2020 Aug 1;180(8):1081-1089</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32396163</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Diabetes Metab Res Rev. 2020 Mar 31;:e3319</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32233013</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Lancet. 2020 Mar 28;395(10229):1054-1062</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32171076</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>J Allergy Clin Immunol. 2020 Jul;146(1):110-118</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32294485</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>JAMA Intern Med. 2020 Jul 21;:</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32692365</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Circulation. 2020 Jun 9;141(23):1930-1936</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32243205</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>BMJ. 2020 Apr 7;369:m1328</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32265220</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Med Care. 2019 Apr;57(4):279-285</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">30807449</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Nature. 2020 Aug;584(7821):430-436</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32640463</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Med Care. 2005 Nov;43(11):1130-9</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">16224307</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Rand Health Q. 2016 May 9;5(4):13</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">28083423</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Am J Prev Med. 2012 Nov;43(5):483-9</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">23079170</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Nat Med. 2020 Apr;26(4):506-510</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32284616</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>BMJ. 2020 May 22;369:m1985</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32444460</ArticleId>
</ArticleIdList>
</Reference>
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