伊朗马赞德兰省新冠肺炎患者的临床特征和结果。

Q3 Medicine
Tanaffos Pub Date : 2023-01-01
Faezeh Sadat Movahedi, Jamshid Yazdani Charati, Farhang Baba Mahmoudi, Fatemeh Abdollahi, Fatemeh Safari Hajikalai
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引用次数: 0

摘要

背景:冠状病毒问题是世界上最严重的问题之一。本研究旨在调查和描述马赞德兰省新冠肺炎患者的临床特征、病死率危险因素和住院时间。材料和方法:在本流行病学研究中,报告了2020年7月22日至8月21日马赞德兰省医院收治的新冠肺炎患者的数据。采用多变量逻辑回归方法和Cox比例危险模型来确定死亡的危险因素。结果:6759例住院患者中,3111例(46.03%)有合并症;其中19.77%患有糖尿病,19.97%患有高血压,15.28%患有心力衰竭。新冠肺炎患者数据的Cox回归模型显示,死亡风险因素包括年龄超过60岁(HR:1.93;P<0.001)、插管(HR:4.22;P2≤93%(HR:2.57;P=0.006)、癌症合并症(HR:1.87;P=0.006),心力衰竭(HR:1.63;P结论:高度关注死亡的风险因素有助于在早期识别预后不良的患者。还应进行更多的评估,以检查这些风险因素的潜在机制。强调与死亡相关的风险因素对于通过适当的医疗护理和预防法规提高准备至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Clinical Characteristics and Outcomes of COVID-19 Patients in Mazandaran Province, Iran.

Clinical Characteristics and Outcomes of COVID-19 Patients in Mazandaran Province, Iran.

Clinical Characteristics and Outcomes of COVID-19 Patients in Mazandaran Province, Iran.

Clinical Characteristics and Outcomes of COVID-19 Patients in Mazandaran Province, Iran.

Background: The problem issue of coronaviruses is one of the most serious problems in the world. The present study aimed to investigate and describe the clinical characteristics, risk factors of fatality rate, and length of hospital stay in patients with COVID-19 in Mazandaran province.

Materials and methods: In this epidemiological study, data from COVID-19 patients admitted to hospitals in Mazandaran province from July 22 to August 21, 2020, were reported. Multivariate logistic regression methods and the Cox proportional hazards model were used to determine the risk factors of fatality.

Results: Out of the 6759 hospitalized patients, 3111(46.03%) patients had comorbidity; 19.77% of them had diabetes, 19.97% had hypertension, and 15.28% had heart failure. Cox regression model on COVID-19 patient data showed that risk factors for fatality including having age over 60 years (HR: 1.93; P< 0.001), intubation (HR: 4.22; P<0.001), SpO2≤ 93% (HR: 2.57; P=0.006), comorbidities of cancer (HR: 1.87; P=0.006), chronic blood diseases (HR: 1.83; P=0.049), heart failure (HR: 1.63; P<0.001), and chronic kidney disease (HR: 1.98; P<0.001).

Conclusion: Paying much attention to risk factors for fatality can help identify patients with a poor prognosis in the early stages. More assessments should also be performed to examine the underlying mechanisms of these risk factors. Highlighting death-relate d risk factors is crucial to increase preparedness through appropriate medical care and prevention regulations.

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来源期刊
Tanaffos
Tanaffos Medicine-Critical Care and Intensive Care Medicine
CiteScore
1.10
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