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Predictors of mortality and ICU requirement in hospitalized COVID-19 patients with diabetes: A multicentre study.
Asaduzzaman, Md; Romel Bhuia, Mohammad; Zabed Jillul Bari, Mohammad; Nazmul Alam, Zhm; Rahman, Khalidur; Hossain, Enayet; Alam, Munsi Mohammad Jahangir.
  • Asaduzzaman M; Department of Medicine, Sylhet MAG Osmani Medical College Hospital, Sylhet, Bangladesh.
  • Romel Bhuia M; Department of Statistics, Shahjalal University of Science and Technology, Sylhet, Bangladesh.
  • Zabed Jillul Bari M; Department of Medicine, Sylhet MAG Osmani Medical College, Sylhet, Bangladesh.
  • Nazmul Alam Z; Department of Medicine, Sylhet MAG Osmani Medical College Hospital, Sylhet, Bangladesh.
  • Rahman K; Department of Statistics, Shahjalal University of Science and Technology, Sylhet, Bangladesh.
  • Hossain E; Department of Medicine, Sylhet MAG Osmani Medical College, Sylhet, Bangladesh.
  • Alam MMJ; Department of Medicine, Sylhet MAG Osmani Medical College, Sylhet, Bangladesh.
Nurs Open ; 2022 Dec 27.
Article in English | MEDLINE | ID: covidwho-2173312
ABSTRACT

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.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Observational study / Prognostic study / Randomized controlled trials Language: English Year: 2022 Document Type: Article Affiliation country: Nop2.1567

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Observational study / Prognostic study / Randomized controlled trials Language: English Year: 2022 Document Type: Article Affiliation country: Nop2.1567