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Factors associated with increased mortality in hospitalized COVID-19 patients.
Shah, Chirag; Grando, Donna J; Rainess, Rebecca A; Ayad, Lydia; Gobran, Emad; Benson, Payam; Neblett, Meika T; Nookala, Vinod.
  • Shah C; Community Medical Center, 99NJ-37, Toms River, NJ, 08755, USA.
  • Grando DJ; Community Medical Center, 99NJ-37, Toms River, NJ, 08755, USA.
  • Rainess RA; Community Medical Center, 99NJ-37, Toms River, NJ, 08755, USA.
  • Ayad L; Community Medical Center, 99NJ-37, Toms River, NJ, 08755, USA.
  • Gobran E; Community Medical Center, 99NJ-37, Toms River, NJ, 08755, USA.
  • Benson P; Community Medical Center, 99NJ-37, Toms River, NJ, 08755, USA.
  • Neblett MT; Community Medical Center, 99NJ-37, Toms River, NJ, 08755, USA.
  • Nookala V; Community Medical Center, 99NJ-37, Toms River, NJ, 08755, USA.
Ann Med Surg (Lond) ; 60: 308-313, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-1059678
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.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Language: English Journal: Ann Med Surg (Lond) Year: 2020 Document Type: Article Affiliation country: J.amsu.2020.10.071

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Language: English Journal: Ann Med Surg (Lond) Year: 2020 Document Type: Article Affiliation country: J.amsu.2020.10.071