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Patient Trajectories Among Persons Hospitalized for COVID-19 : A Cohort Study.
Garibaldi, Brian T; Fiksel, Jacob; Muschelli, John; Robinson, Matthew L; Rouhizadeh, Masoud; Perin, Jamie; Schumock, Grant; Nagy, Paul; Gray, Josh H; Malapati, Harsha; Ghobadi-Krueger, Mariam; Niessen, Timothy M; Kim, Bo Soo; Hill, Peter M; Ahmed, M Shafeeq; Dobkin, Eric D; Blanding, Renee; Abele, Jennifer; Woods, Bonnie; Harkness, Kenneth; Thiemann, David R; Bowring, Mary G; Shah, Aalok B; Wang, Mei-Cheng; Bandeen-Roche, Karen; Rosen, Antony; Zeger, Scott L; Gupta, Amita.
  • Garibaldi BT; Johns Hopkins University School of Medicine, Baltimore, Maryland (B.T.G., M.L.R., P.N., J.H.G., H.M., T.M.N., B.S.K., P.M.H., R.B., D.R.T., M.G.B., A.R., A.G.).
  • Fiksel J; Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (J.F., J.M., J.P., G.S., M.W., K.B., S.L.Z.).
  • Muschelli J; Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (J.F., J.M., J.P., G.S., M.W., K.B., S.L.Z.).
  • Robinson ML; Johns Hopkins University School of Medicine, Baltimore, Maryland (B.T.G., M.L.R., P.N., J.H.G., H.M., T.M.N., B.S.K., P.M.H., R.B., D.R.T., M.G.B., A.R., A.G.).
  • Rouhizadeh M; Institute for Clinical and Translational Research, Johns Hopkins University School of Medicine, Baltimore, Maryland (M.R., B.W.).
  • Perin J; Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (J.F., J.M., J.P., G.S., M.W., K.B., S.L.Z.).
  • Schumock G; Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (J.F., J.M., J.P., G.S., M.W., K.B., S.L.Z.).
  • Nagy P; Johns Hopkins University School of Medicine, Baltimore, Maryland (B.T.G., M.L.R., P.N., J.H.G., H.M., T.M.N., B.S.K., P.M.H., R.B., D.R.T., M.G.B., A.R., A.G.).
  • Gray JH; Johns Hopkins University School of Medicine, Baltimore, Maryland (B.T.G., M.L.R., P.N., J.H.G., H.M., T.M.N., B.S.K., P.M.H., R.B., D.R.T., M.G.B., A.R., A.G.).
  • Malapati H; Johns Hopkins University School of Medicine, Baltimore, Maryland (B.T.G., M.L.R., P.N., J.H.G., H.M., T.M.N., B.S.K., P.M.H., R.B., D.R.T., M.G.B., A.R., A.G.).
  • Ghobadi-Krueger M; Information Technology, Johns Hopkins Medicine, Baltimore, Maryland (M.G., K.H.).
  • Niessen TM; Johns Hopkins University School of Medicine, Baltimore, Maryland (B.T.G., M.L.R., P.N., J.H.G., H.M., T.M.N., B.S.K., P.M.H., R.B., D.R.T., M.G.B., A.R., A.G.).
  • Kim BS; Johns Hopkins University School of Medicine, Baltimore, Maryland (B.T.G., M.L.R., P.N., J.H.G., H.M., T.M.N., B.S.K., P.M.H., R.B., D.R.T., M.G.B., A.R., A.G.).
  • Hill PM; Johns Hopkins University School of Medicine, Baltimore, Maryland (B.T.G., M.L.R., P.N., J.H.G., H.M., T.M.N., B.S.K., P.M.H., R.B., D.R.T., M.G.B., A.R., A.G.).
  • Ahmed MS; Howard Country General Hospital, Johns Hopkins University School of Medicine, Baltimore, Maryland (M.S.A.).
  • Dobkin ED; Suburban Hospital, Johns Hopkins Medicine, Bethesda, Maryland (E.D.D.).
  • Blanding R; Johns Hopkins University School of Medicine, Baltimore, Maryland (B.T.G., M.L.R., P.N., J.H.G., H.M., T.M.N., B.S.K., P.M.H., R.B., D.R.T., M.G.B., A.R., A.G.).
  • Abele J; Sibley Memorial Hospital, Johns Hopkins Medicine, Washington, DC (J.A.).
  • Woods B; Institute for Clinical and Translational Research, Johns Hopkins University School of Medicine, Baltimore, Maryland (M.R., B.W.).
  • Harkness K; Information Technology, Johns Hopkins Medicine, Baltimore, Maryland (M.G., K.H.).
  • Thiemann DR; Johns Hopkins University School of Medicine, Baltimore, Maryland (B.T.G., M.L.R., P.N., J.H.G., H.M., T.M.N., B.S.K., P.M.H., R.B., D.R.T., M.G.B., A.R., A.G.).
  • Bowring MG; Johns Hopkins University School of Medicine, Baltimore, Maryland (B.T.G., M.L.R., P.N., J.H.G., H.M., T.M.N., B.S.K., P.M.H., R.B., D.R.T., M.G.B., A.R., A.G.).
  • Shah AB; Technology Innovation Center, Johns Hopkins University School of Medicine, Baltimore, Maryland (A.B.S.).
  • Wang MC; Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (J.F., J.M., J.P., G.S., M.W., K.B., S.L.Z.).
  • Bandeen-Roche K; Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (J.F., J.M., J.P., G.S., M.W., K.B., S.L.Z.).
  • Rosen A; Johns Hopkins University School of Medicine, Baltimore, Maryland (B.T.G., M.L.R., P.N., J.H.G., H.M., T.M.N., B.S.K., P.M.H., R.B., D.R.T., M.G.B., A.R., A.G.).
  • Zeger SL; Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (J.F., J.M., J.P., G.S., M.W., K.B., S.L.Z.).
  • Gupta A; Johns Hopkins University School of Medicine, Baltimore, Maryland (B.T.G., M.L.R., P.N., J.H.G., H.M., T.M.N., B.S.K., P.M.H., R.B., D.R.T., M.G.B., A.R., A.G.).
Ann Intern Med ; 174(1): 33-41, 2021 01.
Article in English | MEDLINE | ID: covidwho-1067966
ABSTRACT

BACKGROUND:

Risk factors for progression of coronavirus disease 2019 (COVID-19) to severe disease or death are underexplored in U.S. cohorts.

OBJECTIVE:

To determine the factors on hospital admission that are predictive of severe disease or death from COVID-19.

DESIGN:

Retrospective cohort analysis.

SETTING:

Five hospitals in the Maryland and Washington, DC, area. PATIENTS 832 consecutive COVID-19 admissions from 4 March to 24 April 2020, with follow-up through 27 June 2020. MEASUREMENTS Patient trajectories and outcomes, categorized by using the World Health Organization COVID-19 disease severity scale. Primary outcomes were death and a composite of severe disease or death.

RESULTS:

Median patient age was 64 years (range, 1 to 108 years); 47% were women, 40% were Black, 16% were Latinx, and 21% were nursing home residents. Among all patients, 131 (16%) died and 694 (83%) were discharged (523 [63%] had mild to moderate disease and 171 [20%] had severe disease). Of deaths, 66 (50%) were nursing home residents. Of 787 patients admitted with mild to moderate disease, 302 (38%) progressed to severe disease or death 181 (60%) by day 2 and 238 (79%) by day 4. Patients had markedly different probabilities of disease progression on the basis of age, nursing home residence, comorbid conditions, obesity, respiratory symptoms, respiratory rate, fever, absolute lymphocyte count, hypoalbuminemia, troponin level, and C-reactive protein level and the interactions among these factors. Using only factors present on admission, a model to predict in-hospital disease progression had an area under the curve of 0.85, 0.79, and 0.79 at days 2, 4, and 7, respectively.

LIMITATION:

The study was done in a single health care system.

CONCLUSION:

A combination of demographic and clinical variables is strongly associated with severe COVID-19 disease or death and their early onset. The COVID-19 Inpatient Risk Calculator (CIRC), using factors present on admission, can inform clinical and resource allocation decisions. PRIMARY FUNDING SOURCE Hopkins inHealth and COVID-19 Administrative Supplement for the HHS Region 3 Treatment Center from the Office of the Assistant Secretary for Preparedness and Response.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Severity of Illness Index / Hospital Mortality / COVID-19 / Hospitalization Type of study: Cohort study / Observational study / Prognostic study Limits: Adolescent / Adult / Aged / Child / Child, preschool / Female / Humans / Infant / Male / Middle aged Country/Region as subject: North America Language: English Journal: Ann Intern Med Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Severity of Illness Index / Hospital Mortality / COVID-19 / Hospitalization Type of study: Cohort study / Observational study / Prognostic study Limits: Adolescent / Adult / Aged / Child / Child, preschool / Female / Humans / Infant / Male / Middle aged Country/Region as subject: North America Language: English Journal: Ann Intern Med Year: 2021 Document Type: Article