Journal article
Predictors at Admission of Mechanical Ventilation and Death in an Observational Cohort of Adults Hospitalized With Coronavirus Disease 2019
Clinical infectious diseases, Vol.73(11), pp.E4141-E4151
12/01/2021
DOI: 10.1093/cid/ciaa1459
PMCID: PMC7543323
PMID: 32971532
Abstract
Background. Coronavirus disease (COVID-19) can cause severe illness and death. Predictors of poor outcome collected on hospital admission may inform clinical and public health decisions.
Methods. We conducted a retrospective observational cohort investigation of 297 adults admitted to 8 academic and community hospitals in Georgia, United States, during March 2020. Using standardized medical record abstraction, we collected data on predictors including admission demographics, underlying medical conditions, outpatient antihypertensive medications, recorded symptoms, vital signs, radiographic findings, and laboratory values. We used random forest models to calculate adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for predictors of invasive mechanical ventilation (IMV) and death.
Results. Compared with age <45 years, ages 65-74 years and >= 75 years were predictors of IMV (aORs, 3.12 [95% CI, 1.47-6.60] and 2.79 [95% CI, 1.23-6.33], respectively) and the strongest predictors for death (aORs, 12.92 [95% CI, 3.26-51.25] and 18.06 [95% CI, 4.43-73.63], respectively). Comorbidities associated with death (aORs, 2.4-3.8; P < .05) included end-stage renal disease, coronary artery disease, and neurologic disorders, but not pulmonary disease, immunocompromise, or hypertension. Prehospital use vs nonuse of angiotensin receptor blockers (aOR, 2.02 [95% CI, 1.03-3.96]) and dihydropyridine calcium channel blockers (aOR, 1.91 [95% CI, 1.03-3.55]) were associated with death.
Conclusions. After adjustment for patient and clinical characteristics, older age was the strongest predictor of death, exceeding comorbidities, abnormal vital signs, and laboratory test abnormalities. That coronary artery disease, but not chronic lung disease, was associated with death among hospitalized patients warrants further investigation, as do associations between certain antihypertensive medications and death.
Details
- Title: Subtitle
- Predictors at Admission of Mechanical Ventilation and Death in an Observational Cohort of Adults Hospitalized With Coronavirus Disease 2019
- Creators
- Brendan R. Jackson - United States Public Health ServiceJeremy A. W. Gold - Centers for Disease Control and PreventionPavithra Natarajan - Centers for Disease Control and PreventionJohn Rossow - United States Public Health ServiceRobyn Neblett Fanfair - United States Public Health ServiceJuliana da Silva - Centers for Disease Control and PreventionKaren K. Wong - United States Public Health ServiceSean D. Browning - Centers for Disease Control and PreventionSapna Bamrah Morris - United States Public Health ServiceJessica Rogers-Brown - Centers for Disease Control and PreventionAlfonso C. Hernandez-Romieu - Centers for Disease Control and PreventionChristine M. Szablewski - Centers for Disease Control and PreventionNadine Oosmanally - Georgia Department of Public HealthMelissa Tobin-D'Angelo - Georgia Department of Public HealthCherie Drenzek - Georgia Department of Public HealthDavid J. Murphy - Emory UniversityJulie Hollberg - Emory UniversityJames M. Blum - Emory UniversityRobert Jansen - Grady Health SystemDavid W. Wright - Emory UniversityWilliam M. Sewell - Phoebe Putney Memorial HospitalJack D. Owens - Phoebe Putney Memorial HospitalBenjamin Lefkove - Decatur Memorial HospitalFrank W. Brown - Emory UniversityDeron C. Burton - United States Public Health ServiceTimothy M. Uyeki - Centers for Disease Control and PreventionStephanie R. Bialek - United States Public Health ServicePriti R. Patel - United States Public Health ServiceBeau B. Bruce - Centers for Disease Control and Prevention
- Resource Type
- Journal article
- Publication Details
- Clinical infectious diseases, Vol.73(11), pp.E4141-E4151
- DOI
- 10.1093/cid/ciaa1459
- PMID
- 32971532
- PMCID
- PMC7543323
- NLM abbreviation
- Clin Infect Dis
- ISSN
- 1058-4838
- eISSN
- 1537-6591
- Publisher
- Oxford Univ Press
- Number of pages
- 11
- Grant note
- CDC; United States Department of Health & Human Services; Centers for Disease Control & Prevention - USA
- Language
- English
- Date published
- 12/01/2021
- Academic Unit
- Anesthesia
- Record Identifier
- 9984295958602771
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