Predictors of Mortality Among COVID-19 Patients With or Without Comorbid Diabetes Mellitus

Autor: Seyyed Mojtaba Nekooghadam, Milad Ahmadi Marzaleh, Erfan Taherifard, Rita Rezaee, Ehsan Taherifard, Mahmoudreza Peyravi, Seyedreza Mirsoleymani, Mohammad Hossein Taghrir
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Acta Medica Iranica, Vol 59, Iss 7 (2021)
ISSN: 1735-9694
0044-6025
Popis: Background: late in 2019, the first case of COVID-19 was detected in China, and the disease caused pandemic state worldwide. Up to now, many studies investigated the impact of comorbid diseases, especially diabetes mellitus on COVID-19 outcomes. Objectives: In this study, we aimed to assess the para-clinic characteristics of COVID-19 patients with or without diabetes mellitus to identify factors indicative of poor prognoses. Methods: In this prospective study, 153 in-patients with COVID-19 were followed up from 1 March to 19 April. Paraclinical information of these patients was gathered from their medical records. Afterward, the association between these factors among both diabetic and non-diabetic patients were assessed in the correlation analyses. Results: discharge and expiration of 77.1% and 22.9% of the study participants resulted in a 1063 person-day follow up for patients who discharged healthily, and 384 person-day follow up for expired patients. 41.8% of the participants had diabetes mellitus. Lymphocytopenia and Neutrolhilia prevalences increased during hospitalization; comparing with their initial prevalences. Thirty-seven patients got acute respiratory distress syndrome; of those, 35 died. The mean of the initial C reactive protein level was 42.49 and serum creatinine of 1.39 Conclusion: The study showed that higher initial neutrophil count, increasing neutrophil count more than 15000 and decreasing lymphocyte count below 1000 during hospitalization; development of acute respiratory distress syndrome and being intubated; initial C reactive protein and serum creatinine level were associated with higher mortality rates in COVID-19 victims.
Databáze: OpenAIRE