Dataset Information

Factors associated with increased mortality in hospitalized COVID-19 patients.

ABSTRACT:

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.

SUBMITTER: Shah C

PROVIDER: S-EPMC7641593 | biostudies-literature |

REPOSITORIES: biostudies-literature

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