Dataset Information

Predictors of Mortality among inpatients with COVID-19 Infection in a Tertiary Referral Center in the Philippines

ABSTRACT:

Objectives

We aimed to determine the predictors of mortality and describe laboratory trends among adults with confirmed COVID-19.

Methods

We retrospectively reviewed the medical records of adult patients with COVID-19 admitted in a referral hospital. Demographic, clinical characteristics, and laboratory parameters between survivors and non-survivors were compared. Predictors of mortality were determined by multivariate analysis. Mean laboratory values were plotted across illness duration.

Results

Of 1215 patients, 203 (16.7%) had mild, 488 (40.2%) moderate, 183 (15.1%) severe, and 341 (28.1%) critical COVID-19 on admission. In-hospital mortality was 18.2% (0% mild, 6.1% moderate, 15.8% severe, 47.5% critical). Predictors of mortality were age ≥60 years, COPD, qSOFA score ≥2, WBC > 10 × 109/L, absolute lymphocyte count <1000, neutrophil ≥70%, PaO2/FiO2 ratio ≤200, eGFR <90 mL/min/1.73m2, LDH >600 U/L, and CRP >12mg/L. Non-survivors exhibited increasing LDH, and decreasing PaO2/FiO2 ratio and eGFR on the 2nd-3rd week of illness.

Conclusion

Overall mortality rate was high. Predictors of mortality were similar with other reports globally. Marked inflammation and worsening pulmonary and renal function were evident among non-survivors by the 2nd-3rd week of illness.

SUBMITTER: Malundo A

PROVIDER: S-EPMC9281405 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:IntroductionThe severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an extremely rare virus that devastates the economy and claims human lives. Despite countries' urgent and tenacious public health responses to the COVID-19 pandemic, the disease is killing a large number of people. The results of prior studies have not been used by policymakers and programmers due to the presence of conflicting results. As a result, this study was conducted to fill the knowledge gap and develop a research agenda.ObjectiveThis study aimed to assess the mortality rate and predictors of COVID-19 hospitalized patients in Ethiopia.MethodsElectronic databases were searched to find articles that were conducted using a retrospective cohort study design and published in English up to 2022. The data were extracted using a Microsoft Excel spreadsheet and exported to StataTM version 17.0 for further analysis. The presence of heterogeneity was assessed and presented using a forest plot. The subgroup analysis, meta-regression, and publication bias were computed to identify the source of heterogeneity. The pool COVID-19 mortality rate and its predictors were calculated and identified using the random effects meta-analysis model, respectively. The significant predictors identified were reported using a relative risk ratio and 95% confidence interval (CI).ResultsSeven studies with 31,498 participants were included. The pooled mortality rate of COVID-19 was 9.13 (95% CI: 5.38, 12.88) per 1,000 person-days of mortality-free observation. Those study participants who had chronic kidney disease had 2.29 (95% CI: 1.14, 4.60) times higher chance of experiencing mortality than their corresponding counterparts, diabetics had 2.14 (95% CI: 1.22, 3.76), HIV patients had 2.98 (95% CI: 1.26, 7.03), hypertensive patients had 1.63 (95% CI: 1.43, 1.85), and smoker had 2.35 (95% CI: 1.48, 3.73).ConclusionCOVID-19 mortality rate was high to tackle the epidemic of the disease in Ethiopia. COVID-19 patients with chronic renal disease, diabetes, hypertension, smoking, and HIV were the significant predictors of mortality among COVID-19 patients in Ethiopia. COVID-19 patients with chronic diseases and comorbidities need special attention, close follow-up, and care from all stakeholders.