This article is a Preprint
Preprints are preliminary research reports that have not been certified by peer review. They should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Preprints posted online allow authors to receive rapid feedback and the entire scientific community can appraise the work for themselves and respond appropriately. Those comments are posted alongside the preprints for anyone to read them and serve as a post publication assessment.
Predictors of all-cause mortality among patients hospitalized with influenza, respiratory syncytial virus, or SARS-CoV-2 (preprint)
EuropePMC; 2022.
Preprint
in English
| EuropePMC | ID: ppcovidwho-332273
ABSTRACT
ABSTRACT Background Identification of shared and divergent predictors of clinical severity across respiratory viruses may support clinical decision-making and resource planning in the context of a novel or re-emergent respiratory pathogen. Methods We conducted a retrospective cohort study to identify predictors of 30-day all-cause mortality following hospitalization with influenza (N=45,749;2011-09 to 2019-05), respiratory syncytial virus (RSV;N=24,345;2011-09 to 2019-04), or SARS-CoV-2 (N=8,988;2020-03 to 2020-12;pre-vaccine) using population-based health administrative data from Ontario, Canada. Multivariable modified Poisson regression was used to assess associations between potential predictors and mortality. We compared the direction, magnitude and confidence intervals of risk ratios to identify shared and divergent predictors of mortality. Results 3,186 (7.0%), 697 (2.9%) and 1,880 (20.9%) patients died within 30 days of hospital admission with influenza, RSV, and SARS-CoV-2, respectively. Common predictors of increased mortality included older age, male sex, residence in a long-term care home, and chronic kidney disease. Positive associations between age and mortality were largest for patients with SARS-CoV-2. Few comorbidities were associated with mortality among patients with SARS-CoV-2 as compared to those with influenza or RSV. Conclusions Our findings may help identify patients at highest risk of illness secondary to a respiratory virus, anticipate hospital resource needs, and prioritize local preventions and therapeutics to communities with high prevalence of risk factors. Summary In this study of patients hospitalized with influenza, respiratory syncytial virus, and SARS-CoV-2, common predictors of mortality included older age, male sex, residence in long-term care homes and chronic kidney disease. These predictors may support clinical- and systems-level decision making.
Full text:
Available
Collection:
Preprints
Database:
EuropePMC
Type of study:
Observational study
/
Prognostic study
/
Risk factors
Topics:
Vaccines
Language:
English
Year:
2022
Document Type:
Preprint
Similar
MEDLINE
...
LILACS
LIS