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To Predict the COVID-19 Severity in Patients with Diabetes Using Hemoglobin A1C

Journal of Regenerative Medicine .ISSN: 2325-9620

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To Predict the COVID-19 Severity in Patients with Diabetes Using Hemoglobin A1C

To correlate the level of Hemoglobin A1c (HbA1c) to severity of COVID-19 infection in patients with diabetes. Based on demographic characteristics, at greater risk of complications and death caused by COVID-19 in old age people. We have collected the data and analysed using electronic medical records system based on the conditions such as Demographic and Clinical characteristics like Age, Gender, HbA1c level and comorbid conditions such as Heart problems, Hypertension, Dyslipidemia, Transplant and Tuberculosis disease etc. To overcome this situation, we have described here the correlation of Hemoglobin A1c (HbA1c) levels and COVID-19 severity as determined by group of patients with diabetes tested and hospitalized. Totally, we have investigated 120 COVID-19 patients for the study and 102 were hospitalized. In a Multivariate regression analysis, we have found that No. of male patients were hospitalized higher when compared with female from baseline characteristics of HbA1c levels and also comorbid conditions such as hypertension, heart problems, Thyroid and Dyslipidemia showed higher risk of hospitalization associated with diabetes were statistically significant (p < 0.05), but not for Transplant and Tuberculosis conditions. Primary outcome of the study suggested that prognosis of COVID-19 severity in diabetic patients showed that increased risk based on the level of HbA1c ≥ 9%. Pre-comorbid risk factors useful for management of this disease associated with diabetes patients and minimize the socioeconomic burden with sensitivity approach.

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