A Study on Enumeration of Factors Prone to the Development of COVID-19-Associated Mucormycosis

IF 0.3 Q3 MEDICINE, GENERAL & INTERNAL
S. Velusamy, Jayakumar Rajagopal, Jessica Jayakumar, Dharshini Parthiban, Adeeb Ismail Zahir Hussain
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Abstract

Abstract Background  Patients with pre-existing chronic medical conditions with altered immunity are prone to COVID-19-associated mucormycosis (CAM). Objective  In this study, our objectives were to identify the risk factors that increase the chances of developing CAM and to determine the severity of the risk factors of CAM. Thereby, we can optimize the modifiable risk factors for developing CAM in coronavirus disease 2019 (COVID-19) patients. For instance, better control of blood glucose levels in COVID-19 patients can decrease the risk of developing CAM. Materials and Methods  The data was collected retrospectively from 1000 COVID-19 infected patients, above the age of 18 years during the time period of March 2021 to August 2021, in which 86 patients had confirmed CAM. Statistical Analysis  Binary logistic regression and curve estimation analysis were performed using SPSS software version 29 for identifying the associated risk factors of CAM with the significance of p -value less than 0.05. Results  Factors such as severe inflammation ( p  = 0.048), high dose of steroid administration ( p  = 0.005), increasing age ( p  < 0.001), and prolonged hospital stay ( p  < 0.001) were statistically proven to be significant risk factors, associated with CAM. Conclusion  Increasing age, severe inflammation, high dose of steroid administration, and prolonged hospital stay have association with occurrence of CAM.
新型冠状病毒相关毛霉病易发因素的枚举研究
摘要背景 已有慢性疾病且免疫力改变的患者容易患上新冠肺炎相关毛霉菌病(CAM)。客观的 在这项研究中,我们的目标是确定增加患CAM几率的风险因素,并确定CAM风险因素的严重程度。因此,我们可以优化2019冠状病毒病(新冠肺炎)患者发展CAM的可改变风险因素。例如,更好地控制新冠肺炎患者的血糖水平可以降低患CAM的风险。材料和方法 数据是从2021年3月至2021年8月期间1000名18岁以上的新冠肺炎感染患者中收集的,其中86名患者已确诊CAM。统计分析 使用SPSS软件29版进行二元逻辑回归和曲线估计分析,以确定CAM的相关危险因素,p值的显著性小于0.05。后果 严重炎症等因素(p = 0.048),高剂量类固醇给药(p = 0.005),年龄增加(p < 0.001)和住院时间延长(p < 0.001)在统计学上被证明是与CAM相关的显著风险因素。结论 年龄增长、严重炎症、高剂量类固醇给药和住院时间延长与CAM的发生有关。
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来源期刊
Journal of Health and Allied Sciences NU
Journal of Health and Allied Sciences NU MEDICINE, GENERAL & INTERNAL-
自引率
33.30%
发文量
85
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