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Factors associated with increased mortality in hospitalized COVID-19 patients
Chirag Shah1, Donna J Grando1, Rebecca A Rainess1
1Community Medical Center, 99NJ-37, Toms River, NJ, 08755, USA.
Insights
Older age, male sex, and specific health conditions like cardiomyopathy and acute kidney injury are key risk factors for COVID-19 mortality. Identifying these COVID-19 patient characteristics can improve patient outcomes.
Area of Science:
- Medical Research
- Epidemiology
- Public Health
Background:
- The COVID-19 pandemic has caused significant global health challenges.
- Limited evidence exists on risk factors predicting COVID-19 patient outcomes.
- This study aimed to identify key predictors of mortality in COVID-19 patients.
Purpose of the Study:
- To identify demographic and clinical risk factors associated with increased mortality in COVID-19 patients.
- To provide data that can guide clinical management and improve patient survival rates.
Main Methods:
- Retrospective review of electronic medical records for 487 COVID-19 patients.
- Extraction and analysis of patient variables including demographics, lab results, and pre-existing conditions.
- Multivariate analysis to determine predictors of mortality.
Main Results:
- Of 487 patients, 147 expired. Significant differences were observed in demographics and comorbidities between survivors and non-survivors.
- Key predictors of mortality included age ≥65, initial dyspnea, cardiomyopathy, positive chest imaging findings, and acute kidney injury (AKI).
- Age ≥65 (OR=3.87) and AKI (OR=3.33) were strongly associated with increased mortality risk.
Conclusions:
- Identifying patients with specific risk factors (age, dyspnea, cardiomyopathy, chest imaging, AKI) is crucial for managing COVID-19.
- Early identification of high-risk individuals can potentially improve mortality rates and guide treatment strategies.
Background:
The rapid spread of the coronavirus disease 2019 (COVID-19) epidemic has significantly impacted global health. So far, the evidence regarding the risk factors that predict the outcomes of COVID-19 patients is limited. In this study, we identified several risk factors that are associated with increased mortality in COVID-19 patients.
Methods:
We performed a retrospective review of electronic medical records of the patients admitted with an initial diagnosis of COVID-19. We extracted several patient variables (including demographics, lab results, and pre-existing conditions) and examined for their association with increased mortality.
Results:
Of the 487 people included in the study, 340 survived and 147 expired. Significant differences existed in demographics and underlying comorbidities between the two groups. A higher proportion of patients were age 65 and older (87.76% vs 53.24%, p < 0.001), and were predominantly male (63.27% vs 52.94%, p = 0.0351). Multivariate analysis showed five variables to be the predictors for mortality: age ≥65 [OR = 3.87, 95% CI (2.01, 7.46), p < 0.001], initial presentation with dyspnea [OR = 1.71, 95% CI (1.03, 2.82), p = 0.037], history of cardiomyopathy [OR = 3.33, 95% CI (1.07, 10.41), p < 0.038], positive initial chest imaging findings [OR = 2.24, CI (1.26, 3.97), p = 0.006], and acute kidney injury (AKI) [OR = 3.33 CI (2.10, 5.28), P < 0.001].
Conclusion:
Identifying COVID-19 patients with these characteristics may help guide the management and improve mortality.
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