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The effect of underlying diabetes disease on clinical outcome and survival in patients with Covid-19: a propensity score matching study.
Ghadamgahi, Fatemeh; Tapak, Leili; Bashirian, Saeid; Amiri, Rahimpour; Roshanaei, Ghodratollah.
  • Ghadamgahi F; Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
  • Tapak L; Department of Biostatistics, School of Public Health, Modeling of Noncommunicable Diseases Research Canter, Hamadan University of Medical Sciences, Hamadan, Iran.
  • Bashirian S; Social Determinants of Health Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.
  • Amiri R; Department of Pediatrics, School of Medicine, Besat Hospital, Hamadan University of Medical Sciences, Hamadan, Iran.
  • Roshanaei G; Department of Biostatistics, School of Public Health, Modeling of Noncommunicable Diseases Research Canter, Hamadan University of Medical Sciences, Hamadan, Iran.
J Diabetes Metab Disord ; 20(2): 1675-1683, 2021 Dec.
Article in English | MEDLINE | ID: covidwho-1694195
ABSTRACT

PURPOSE:

Coronavirus increases mortality rate in people with underlying disease. The purpose of the present research was to compare the clinical outcomes in Covid-19 patients with and without underlying diabetes disease using propensity score matching.

METHODS:

A matched case-control study was conducted on 459 diabetic patients with Covid-19 (case group) and 459 non-diabetic patients with Covid-19 (control group). Matching in two groups was performed using propensity score matching method. The effect of covariates on the clinical outcome of the patients (recovery-death) was assessed using logistic regression and the associations of factors with the patients' survival were determined using Cox proportional hazards regression model. Data were analyzed using R software.

RESULTS:

The mean (standard deviation) age of patients in the case and control groups were 65.77 (12.2) and 65.8 (12.24), respectively. 196 patients (43%) in the case group, and 249 patients (54%) in the control group were male (with P-value < 0.05). The logistic regression model showed that the variables of age, level of blood oxygen (SpO2), ICU admission, length of hospitalization, cancer and diabetes affected patients' death. Furthermore, the resuts of the Cox regression showed that the variables of age, level of blood oxygen (SpO2), ICU admission,cancer and diabetes were related to survival of the patients. It was found that diabetes was significantly associated with mortality from COVID-19 with odds ratio of 2.88 (95% CI 1.80-4.69; P < 0.01) and hazard ratio of 1.45 (95% CI 1.01-2.03; P = 0.05).

CONCLUSION:

The underlying diabetes significantly increases the mortality among patients with Covid-19, so special care should be taken for this high risk group if they develop Covid-19.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Language: English Journal: J Diabetes Metab Disord Year: 2021 Document Type: Article Affiliation country: S40200-021-00922-z

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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: J Diabetes Metab Disord Year: 2021 Document Type: Article Affiliation country: S40200-021-00922-z