The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
The potential impact of triage protocols on racial disparities in clinical outcomes among COVID-positive patients in a large academic healthcare system
Abstract
Background: The COVID-19 pandemic has had a devastating impact in the United States, particularly for Black populations, and has heavily burdened the healthcare system. Hospitals have created protocols to allocate limited resources, but there is concern that these protocols will exacerbate disparities. The sequential organ failure assessment (SOFA) score is a tool often used in triage protocols. In these protocols, patients with higher SOFA scores are denied resources based on the assumption that they have worse clinical outcomes. The purpose of this study was to assess whether using SOFA score as a triage tool among COVID-positive patients would exacerbate racial disparities in clinical outcomes. Methods: We analyzed data from a retrospective cohort of hospitalized COVID-positive patients in the Yale-New Haven Health System. We examined associations between race/ethnicity and peak overall/24-hour SOFA score, in-hospital mortality, and ICU admission. Other predictors of interest were age, sex, primary language, and insurance status. We used one-way ANOVA and chi-square tests to assess differences in SOFA score across racial/ethnic groups and linear and logistic regression to assess differences in clinical outcomes by sociodemographic characteristics. Results: Our final sample included 2,554 patients. Black patients had higher SOFA scores compared to patients of other races. However, Black patients did not have significantly greater in-hospital mortality or ICU admission compared to patients of other races. Conclusion: While Black patients in this sample of hospitalized COVID-positive patients had higher SOFA scores compared to patients of other races, this did not translate to higher in-hospital mortality or ICU admission. Results demonstrate that if SOFA score had been used to allocate care, Black COVID patients would have been denied care despite having similar clinical outcomes to white patients. Therefore, using SOFA score to allocate resources has the potential to exacerbate racial inequities by disproportionately denying care to Black patients and should not be used to determine access to care. Healthcare systems must develop and use COVID-19 triage protocols that prioritize equity.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“suggesting that in Black sepsis patients are more likely to be assessed as being more pathologically advanced than they are (Miller et al., 2021; Roy et al., 2021; Tolchin et al., 2021).”
From On race, human variation, and who gets and dies of sepsis (2022) · cites this paper as Roy et al., 2021
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“High creatinine levels when incorporated into SOFA scores, however, often result in US Black patients having a higher SOFA score than White patients, but not higher in‐hospital mortality”
From On race, human variation, and who gets and dies of sepsis (2022) · cites this paper as Roy et al., 2021
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
von Elm, E., Altman, D. G., Egger, M., Pocock, S. J., Gøtzsche, P. C., Vandenbroucke, J. P., & Initiative, F. T. S. (2007) · PLoS Medicine · doi:10.1371/journal.pmed.0040296 · Cited by 23,020
Hidden in Plain Sight — Reconsidering the Use of Race Correction in Clinical Algorithms
Vyas, D. A., Eisenstein, L. G., & Jones, D. S. (2020) · New England Journal of Medicine · doi:10.1056/nejmms2004740 · Cited by 1,731
Hospitalization and mortality among Black patients and White patients with Covid-19.
Price-Haywood, E. G., Burton, J., Fort, D., & Seoane, L. (2020) · New England Journal of Medicine · doi:10.1056/nejmsa2011686 · Cited by 1,660 · cited 2×
“Despite this, our findings that Black COVID-19 patients had higher SOFA scores align with the overall literature that suggests a higher burden of morbidity of COVID-19 in Black patients [2, 26, 30, 31, 33].”
BackgroundResultRacial and Ethnic Disparities in Population-Level Covid-19 Mortality
Gross, C. P., Essien, U. R., Pasha, S., Gross, J. R., Wang, S.-Y., & Nunez-Smith, M. (2020) · Journal of General Internal Medicine · doi:10.1007/s11606-020-06081-w · Cited by 410
Accuracy of Race, Ethnicity, and Language Preference in an Electronic Health Record
Klinger, E. V., Carlini, S. V., Gonzalez, I., Hubert, S. S., Linder, J. A., Rigotti, N. A., Kontos, E. Z., Park, E. R., Marinacci, L. X., & Haas, J. S. (2015) · Journal of General Internal Medicine · doi:10.1007/s11606-014-3102-8 · Cited by 234
Hsu, J., Johansen, K. L., Hsu, C.-Y., Kaysen, G. A., & Chertow, G. M. (2008) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.00090108 · Cited by 81
Flagged first, then by citations
Research works printed but not linked: 26
- AV Dorn, 2020, COVID-19 exacerbating inequalities in the US, Lancet, 395, 1243, 10.1016/S0140-6736(20)30893-X · DOI · Paper page
- N Laventhal, 2020, The Ethics of Creating a Resource Allocation Strategy During the COVID-19 Pandemic, Pediatrics, 146, 10.1542/peds.2020-1243 · DOI
- E Nord, 2005, Concerns for the worse off: fair innings versus severity, Soc Sci Med, 60, 257, 10.1016/j.socscimed.2004.05.003 · DOI
- B Herreros, 2020, Triage during the COVID-19 epidemic in Spain: better and worse ethical arguments, J Med Ethics, 46, 455, 10.1136/medethics-2020-106352 · DOI
- C Caraccio, 2020, No protocol and no liability: a call for COVID crisis guidelines that protect vulnerable populations, J Comp Eff Res, 9, 829, 10.2217/cer-2020-0090 · DOI
- FL Ferreira, 2001, Serial Evaluation of the SOFA Score to Predict Outcome in Critically Ill Patients, JAMA, 286, 1754, 10.1001/jama.286.14.1754 · DOI · Paper page
- X Zou, Acute Physiology and Chronic Health Evaluation II Score as a Predictor of Hospital Mortality in Patients of Coronavirus Disease 2019, Crit Care Med. Published, 1, 2020
- 2015, New York State Task Force on Life and the Law & New York Department of Public Health, Ventilator Allocation Guidelines
- L Minne, 2008, Evaluation of SOFA-based models for predicting mortality in the ICU: A systematic review, Crit Care, 12, R161, 10.1186/cc7160 · DOI
- J-L Vincent, 1998, Use of the SOFA score to assess the incidence of organ dysfunction/failure in intensive care units: Results of a multicenter, prospective study, Crit Care Med, 26, 1793, 10.1097/00003246-199811000-00016 · DOI · Paper page
- B Tolchin, 2020, Developing a Triage Protocol for the COVID-19 Pandemic: Allocating Scarce Medical Resources in a Public Health Emergency, J Clin Ethics, 31, 303, 10.1086/JCE2020314303 · DOI
- Z Khan, 2009, An assessment of the validity of SOFA score based triage in H1N1 critically ill patients during an influenza pandemic, Anaesthesia, 64, 1283, 10.1111/j.1365-2044.2009.06135.x · DOI
- R Shahpori, 2011, Sequential Organ Failure Assessment in H1N1 pandemic planning, Crit Care Med, 39, 827, 10.1097/CCM.0b013e318206d548 · DOI
- A Gupta, 2017, A55. CRITICAL CARE: SIRS, QSOFA, SEPSIS—WHAT’S IN A NAME? American Thoracic Society International Conference Abstracts, A1911
- A Gupta, 2017, A55. CRITICAL CARE: SIRS, QSOFA, SEPSIS—WHAT’S IN A NAME? American Thoracic Society International Conference Abstracts, A1909
- RP Hertz, 2005, Racial Disparities in Hypertension Prevalence, Awareness, and Management, Arch Intern Med, 165, 2098, 10.1001/archinte.165.18.2098 · DOI
- M Lillie-Blanton, 1996, Race/ethnicity, the social environment, and health, Soc Sci Med, 43, 83, 10.1016/0277-9536(95)00337-1 · DOI
- A Anyane‐Yeboa, Racial Disparities in COVID-19 Deaths Reveal Harsh Truths About Structural Inequality in America, J Intern Med
- KMJ Azar, 2020, Disparities In Outcomes Among COVID-19 Patients In A Large Health Care System In California, Health Aff., 10.1377/hlthaff.2020.00598 · DOI
- A Khan, 2020, Comorbidities and Disparities in Outcomes of COVID-19 Among African American and White Patients, medRxiv, 2020.05.10.20090167
- V Sundararajan, 2004, New ICD-10 version of the Charlson comorbidity index predicted in-hospital mortality, J Clin Epidemiol, 57, 1288, 10.1016/j.jclinepi.2004.03.012 · DOI · Paper page
- GA Millett, 2020, Assessing differential impacts of COVID-19 on black communities, Ann Epidemiol, 47, 37, 10.1016/j.annepidem.2020.05.003 · DOI · Paper page
- DR Holtgrave, 2020, Assessing racial and ethnic disparities using a COVID-19 outcomes continuum for New York State, Ann Epidemiol., 48, 9, 10.1016/j.annepidem.2020.06.010 · DOI
- AH Matheny Antommaria, 2020, Ventilator Triage Policies During the COVID-19 Pandemic at U.S. Hospitals Associated With Members of the Association of Bioethics Program Directors, Ann Intern Med, 10.7326/M20-1738 · DOI
- EE Wiemers, 2020, Disparities in Vulnerability to Severe Complications from COVID-19 in the United States, 10.3386/w27294 · DOI
- H Schmidt, 2021, Rationing, racism and justice: advancing the debate around ‘colourblind’ COVID-19 ventilator allocation., J Med Ethics
Cited by
Sorted by citations
On race, human variation, and who gets and dies of sepsis
Brinkworth, J. F., & Shaw, J. G. (2022) · American Journal of Biological Anthropology · doi:10.1002/ajpa.24527 · Cited by 9
Metadata
- Authors
- Roy, S., Showstark, M., Tolchin, B., Kashyap, N., Bonito, J., Salazar, M. C., Herbst, J. L., Nash, K. A., Nguemeni Tiako, M. J., Jubanyik, K., Kim, N., Galusha, D., Wang, K. H., & Oladele, C.
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2021-09-16
- Volume
- 16
- Issue
- 9
- Pages
- e0256763
- ISSN
- 1932-6203
- PMC
- PMC8445412
- Cited by
- 19
- References
- 6
- Language
- en
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review