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Predictors of mortality and ICU requirement in hospitalized COVID-19 patients with diabetes: A multicentre study
Md Asaduzzaman1, Mohammad Romel Bhuia2, Mohammad Zabed Jillul Bari3
1Department of Medicine, Sylhet MAG Osmani Medical College Hospital, Sylhet, Bangladesh.
Insights
Older age and low oxygen saturation predicted mortality and ICU needs in hospitalized COVID-19 patients with diabetes. Identifying these COVID-19 diabetes predictors can improve patient outcomes.
Area of Science:
- Infectious Diseases
- Endocrinology
- Critical Care Medicine
Background:
- Diabetes mellitus is a significant comorbidity associated with severe COVID-19 outcomes.
- Understanding predictors of mortality and intensive care unit (ICU) needs in diabetic COVID-19 patients is crucial for resource allocation and clinical management.
Purpose of the Study:
- To identify predictors of in-hospital mortality and ICU requirements among hospitalized patients with COVID-19 and diabetes.
Main Methods:
- Retrospective cross-sectional study of 500 COVID-19 patients with diabetes hospitalized between October 2020 and February 2021.
- Logistic regression analysis was employed to determine significant predictors for ICU admission and mortality.
Main Results:
- 11% of patients died, and 24% required ICU support. Lymphopenia, thrombocytopenia, and leukocytosis were more prevalent in non-survivors.
- Significant predictors of mortality included older age, neutrophil count, platelet count, and admission SpO2.
- Older age, ischemic heart disease, WBC count, D-dimer, and admission SpO2 predicted ICU requirement.
Conclusions:
- Older age, low admission SpO2, and specific hematological markers are key predictors of mortality and ICU needs in diabetic COVID-19 patients.
- These findings highlight the importance of close monitoring and early intervention for high-risk diabetic individuals hospitalized with COVID-19.
Aim:
This study aimed to identify the predictors of mortality and ICU requirements in hospitalized COVID-19 Patients with Diabetes.
Design:
Cross-sectional study.
Methods:
It was a retrospective study of patients hospitalized with COVID-19 infection from October 2020-February 2021 in four hospitals in Sylhet, Bangladesh. Logistic regression analysis was applied to explore the predictors of ICU requirement and in-hospital mortality.
Results:
In the whole cohort (n = 500), 11% of patients died and 24% of patients required intensive care unit (ICU) support. Non-survivors had significantly higher prevalence of lymphopenia, thrombocytopenia and leukocytosis. Significant predictors of in-hospital mortality were older age, neutrophil count, platelet count and admission peripheral capillary oxygen saturation (SpO2). Older age, ischemic heart disease, WBC count, D-dimer and admission SpO2 were identified as significant predictors for ICU requirement.
Patient Or Public Contribution:
No.
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