Open AccessFactors associated with prompt recovery among hospitalised patients with coronavirus disease 2019
Author(s) -
Ny Pamela,
Kelsom Corey,
Chron Amanda,
Lou Mimi,
Nieberg Paul,
Shriner Kimberly,
Huse Holly,
WongBeringer Annie
Publication year - 2021
Publication title -
international journal of clinical practice
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.756
H-Index - 98
eISSN - 1742-1241
pISSN - 1368-5031
DOI - 10.1111/ijcp.14818
Subject(s) - medicine , tachypnea , covid-19 , retrospective cohort study , multivariate analysis , pediatrics , disease , infectious disease (medical specialty) , tachycardia
Background Patients who survived hospitalisation for COVID‐19 experienced varying durations of illness but the factors associated with prompt recovery are unknown. This study identifies factors differentiating hospitalised patients who recovered promptly versus survived a prolonged course of illness because of COVID‐19. Methods This was a retrospective study from March‐August 2020 of hospitalised adults with COVID‐19 which were grouped based on time to recovery: short (≤3 days), intermediate (4‐10 days) and prolonged (>10 days). Recovery was defined as resolution of fever, tachypnea, hypotension, extubation and return of mental status at baseline. Multivariate analysis was used to evaluate factors associated with prompt recovery. Results Among 508 patients hospitalised for COVID‐19, 401 (79%) survived. Of those, prompt recovery (within 3 days) was achieved in 43% (174/401), whereas 23% (92/401) recovered after a prolonged period of >10 days. Overall, median age was 64 years with 73% admitted from home and 25% from a skilled nursing facility. Predictors for prompt recovery upon admission included female sex (OR, 1.8; 95% CI, 1.1‐2.7; P = .01), no fever (OR, 1.6; 95% CI, 1.1‐2.6; P = .03), longer time from symptom onset to hospitalisation (OR, 1.1; 95% CI, 1.0‐1.1; P = .001), no supplemental oxygen (OR, 1.9; 95% CI, 1.2‐3.0; P = .004), no direct ICU admission (OR, 41.7; 95% CI, 2.4‐740.4; P = .01) and absence of bacterial co‐infections (OR, 2.5; 95% CI, 1.5‐4.0, P = .0003). Conclusions Our study provides relevant data that could help clinicians triage competing resources in health systems that are challenged by the ebb and flow of COVID‐19 cases by identifying clinical features of COVID‐19 patients who may require less intensive management including avoidance of unnecessary antibacterial therapy.