Evidence map›Paper›PMID 34224257›Full record

ArticleAnnals of internal medicine2021

Association Between Caseload Surge and COVID-19 Survival in 558 U.S. Hospitals, March to August 2020.

Sameer S Kadri, Junfeng Sun, Alexander Lawandi, Jeffrey R Strich, Lindsay M Busch, Michael Keller, Ahmed Babiker, Christina Yek, Seidu Malik, Janell Krack and 14 more

Registry-linked trialAbstract readMulticenter Study
In one paragraph

Article in Annals of internal medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04688372 (Association Between Hospital Case Burden and Mortality Risk Among Patients Hospitalized With COVID-19), which is not on this map. Cited by 108 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
108citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04688372 completednot on this map

Association Between Hospital Case Burden and Mortality Risk Among Patients Hospitalized With COVID-19: A Retrospective Cohort Study of U.S. Hospitals

TypeobservationalSponsorNational Institutes of Health Clinical Center (CC)Ran2020 to 2021Enrolled144,116ConditionsVolume Outcome Relationship Among COVID-19 Inpatients in US HospitalsArmsSurge Index
3 · Its place in the literature

Who cites it

108 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Hospital Capacity Pooling in Pandemics: Simulation-Based Mortality Impacts and Diversification Mechanisms.Risk analysis : an official publication of the Society for Risk Analysis · 2026
    Article
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  7. Observational
  8. Observational
  9. Article
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  11. Observational
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  13. Rethinking the evidence on COVID-19 in Africa.The Lancet. Infectious diseases · 2025
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Observational
  19. Article
  20. Article

48 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors.

Sameer S KadriNational Institutes of Health Clinical Center, Bethesda, Maryland (S.S.K., J.S., A.L., M.K., C.Y., S.M., J.K., R.L.D., C.Y.D., S.W.).ORCID 0000-0002-4420-9004
Junfeng SunNational Institutes of Health Clinical Center, Bethesda, Maryland (S.S.K., J.S., A.L., M.K., C.Y., S.M., J.K., R.L.D., C.Y.D., S.W.).
Alexander LawandiNational Institutes of Health Clinical Center, Bethesda, Maryland (S.S.K., J.S., A.L., M.K., C.Y., S.M., J.K., R.L.D., C.Y.D., S.W.).ORCID 0000-0001-7948-3161
Jeffrey R StrichNational Institutes of Health Clinical Center, Bethesda, Maryland, and U.S. Public Health Service, Rockville, Maryland (J.R.S.).
Lindsay M BuschNational Institutes of Health Clinical Center, Bethesda, Maryland, and Emory University School of Medicine, Atlanta, Georgia (L.M.B.).ORCID 0000-0002-5332-5883
Michael KellerNational Institutes of Health Clinical Center, Bethesda, Maryland (S.S.K., J.S., A.L., M.K., C.Y., S.M., J.K., R.L.D., C.Y.D., S.W.).
Ahmed BabikerEmory University School of Medicine, Atlanta, Georgia (A.B.).ORCID 0000-0003-0578-4871
Christina YekNational Institutes of Health Clinical Center, Bethesda, Maryland (S.S.K., J.S., A.L., M.K., C.Y., S.M., J.K., R.L.D., C.Y.D., S.W.).
Seidu MalikNational Institutes of Health Clinical Center, Bethesda, Maryland (S.S.K., J.S., A.L., M.K., C.Y., S.M., J.K., R.L.D., C.Y.D., S.W.).
Janell KrackNational Institutes of Health Clinical Center, Bethesda, Maryland (S.S.K., J.S., A.L., M.K., C.Y., S.M., J.K., R.L.D., C.Y.D., S.W.).
John P DekkerNational Institute of Allergy and Infectious Diseases, Bethesda, Maryland (J.P.D., E.R.).
Alicen B SpauldingChildren's Minnesota Research Institute, Minneapolis, Minnesota (A.B.S.).ORCID 0000-0002-4687-3259
Emily RicottaNational Institute of Allergy and Infectious Diseases, Bethesda, Maryland (J.P.D., E.R.).ORCID 0000-0001-9928-8275
John H PowersFrederick National Laboratory for Cancer Research, Frederick, Maryland (J.H.P.).ORCID 0000-0002-5150-5119
Chanu RheeBrigham and Women's Hospital, Harvard Medical School, and Harvard Pilgrim Health Care Institute, Boston, Massachusetts (C.R., M.K.).
Michael KlompasBrigham and Women's Hospital, Harvard Medical School, and Harvard Pilgrim Health Care Institute, Boston, Massachusetts (C.R., M.K.).ORCID 0000-0001-8641-4498
Janhavi AthaleNational Institutes of Health Clinical Center, Bethesda, Maryland, and Mayo Clinic Arizona, Phoenix, Arizona (J.A.).
Tegan K BoehmerU.S. Public Health Service, Rockville, Maryland, and Centers for Disease Control and Prevention, Atlanta, Georgia (T.K.B.).
Adi V GundlapalliCenters for Disease Control and Prevention, Atlanta, Georgia (A.V.G., S.D.D.).
William BentleyCenters for Disease Control and Prevention, Atlanta, Georgia, and General Dynamics Information Technology, Falls Church, Virginia (W.B.).ORCID 0000-0001-5289-6759
S Deblina DattaCenters for Disease Control and Prevention, Atlanta, Georgia (A.V.G., S.D.D.).
Robert L DannerNational Institutes of Health Clinical Center, Bethesda, Maryland (S.S.K., J.S., A.L., M.K., C.Y., S.M., J.K., R.L.D., C.Y.D., S.W.).ORCID 0000-0001-5715-3823
Cumhur Y DemirkaleNational Institutes of Health Clinical Center, Bethesda, Maryland (S.S.K., J.S., A.L., M.K., C.Y., S.M., J.K., R.L.D., C.Y.D., S.W.).
Sarah WarnerNational Institutes of Health Clinical Center, Bethesda, Maryland (S.S.K., J.S., A.L., M.K., C.Y., S.M., J.K., R.L.D., C.Y.D., S.W.).ORCID 0000-0002-4998-9257

Funding

Application of Genomic Approaches to Bacterial Pathogenesis and Mechanisms of Antimicrobial ResistanceZIAAI001249 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI DEKKER, JOHN · 2019 to 2025
$13.7M
Preclinical and Clinical Investigations of Severe Infection and Critical Illness ZIACL008060 · CLC · CLINICAL CENTER · PI DANNER, ROBERT L · 2009 to 2025
$0k
Big Data - Epidemiology of Critical Illness and SepsisZIACL090045 · CLC · CLINICAL CENTER · PI KADRI, SAMEER · 2017 to 2025
$0k
6 · The paper itself

Abstract

backgroundSeveral U.S. hospitals had surges in COVID-19 caseload, but their effect on COVID-19 survival rates remains unclear, especially independent of temporal changes in survival.

objectiveTo determine the association between hospitals' severity-weighted COVID-19 caseload and COVID-19 mortality risk and identify effect modifiers of this relationship.

designRetrospective cohort study. (ClinicalTrials.gov: NCT04688372).

setting558 U.S. hospitals in the Premier Healthcare Database.

participantsAdult COVID-19-coded inpatients admitted from March to August 2020 with discharge dispositions by October 2020. MEASUREMENTS: Each hospital-month was stratified by percentile rank on a surge index (a severity-weighted measure of COVID-19 caseload relative to pre-COVID-19 bed capacity). The effect of surge index on risk-adjusted odds ratio (aOR) of in-hospital mortality or discharge to hospice was calculated using hierarchical modeling; interaction by surge attributes was assessed.

resultsOf 144 116 inpatients with COVID-19 at 558 U.S. hospitals, 78 144 (54.2%) were admitted to hospitals in the top surge index decile. Overall, 25 344 (17.6%) died; crude COVID-19 mortality decreased over time across all surge index strata. However, compared with nonsurging (<50th surge index percentile) hospital-months, aORs in the 50th to 75th, 75th to 90th, 90th to 95th, 95th to 99th, and greater than 99th percentiles were 1.11 (95% CI, 1.01 to 1.23), 1.24 (CI, 1.12 to 1.38), 1.42 (CI, 1.27 to 1.60), 1.59 (CI, 1.41 to 1.80), and 2.00 (CI, 1.69 to 2.38), respectively. The surge index was associated with mortality across ward, intensive care unit, and intubated patients. The surge-mortality relationship was stronger in June to August than in March to May (slope difference, 0.10 [CI, 0.033 to 0.16]) despite greater corticosteroid use and more judicious intubation during later and higher-surging months. Nearly 1 in 4 COVID-19 deaths (5868 [CI, 3584 to 8171]; 23.2%) was potentially attributable to hospitals strained by surging caseload. LIMITATION: Residual confounding.

conclusionDespite improvements in COVID-19 survival between March and August 2020, surges in hospital COVID-19 caseload remained detrimental to survival and potentially eroded benefits gained from emerging treatments. Bolstering preventive measures and supporting surging hospitals will save many lives. PRIMARY FUNDING SOURCE: Intramural Research Program of the National Institutes of Health Clinical Center, the National Institute of Allergy and Infectious Diseases, and the National Cancer Institute.

Indexed as

Adrenal Cortex HormonesAdultCOVID-19Critical CareFemaleHospital Bed CapacityHospitalizationHospital MortalityHumansMaleOdds RatioRespiration, ArtificialRetrospective StudiesRisk AssessmentRisk FactorsSARS-CoV-2Adrenal Cortex Hormones

Identifiers

PMID34224257
PMCPMC8276718

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.