Mucormycosis in patients infected with the delta strain of COVID-19 virus, effective of some factors in the prevalence and patient prognosis in Shahid Beheshti Hospital, Kashan, central Iran

伊朗中部卡尚市沙希德·贝赫什提医院感染新冠病毒δ毒株的患者中毛霉菌病的流行情况及患者预后受多种因素影响

阅读:1

Abstract

BACKGROUND: Opportunistic infections such as mucormycosis, are spread in COVID-19 patients due to the use of corticosteroids therapy. This study aimed to determine the prevalence of mucormycosis in patients infected with the delta strain of the COVID-19 virus and evaluated some effective factors in the prevalence and patient prognosis. METHODS: This study was performed on 44 COVID patients with co-infection to mucormycosis who were admitted to Shahid Beheshti Hospital, Kashan in 2022. The COVID diagnosis was based on clinical signs and a positive PCR test, the diagnosis of mucormycosis was based on a positive laboratory report of fungi culture medium. The patient outcomes were recorded and CALL scoring system was used to determine the severity of the disease. The results were analyzed by descriptive statistics using SPSS 16 software. RESULTS: Of 44 COVID patients infected with mucormycosis, 26 (59.1%) had diabetes. All 44 patients had a history of taking steroids with an average daily dose of 48.77±65.15 mg. Twenty-six (59.1%) patients were admitted to the ICU, 18 (40.9%) required intubation. Sixteen (36.4%) patients died. A significant decries observed in lymphopenia after treatment of patients (p<0.0001). CALL scores using showed that 33 (75%) patients had severe risk factors. CONCLUSION: Uncontrolled diabetes and hypertension are the two most common risk factors of mucormycosis in COVID patients. High use of glucocorticoid drugs and immune suppression are predisposing causes for opportunistic organisms. Accurate laboratory diagnosis of mucormycosis plays an important role in treatment of patients and in controlling the disease.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。