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鉴定钩端螺旋体病的风险因素和疾病严重程度:临床预测因子的荟萃分析。

Identifying risk factors and disease severity in leptospirosis: A meta-analysis of clinical predictors.

机构信息

Department of Microbiology, Virology, and Immunology, I. Horbachevsky Ternopil National Medical University, Ternopil, Ukraine.

Department of Biochemistry and Pharmacology, Uzhhorod National University, Uzhhorod, Ukraine.

出版信息

Trop Doct. 2023 Oct;53(4):464-469. doi: 10.1177/00494755231187673. Epub 2023 Jul 28.

Abstract

Leptospirosis is a bacterial zoonosis with a wide spectrum of clinical presentations. In order to identify potential risk factors and predictors of disease severity, a meta-analysis of the clinical features of severe and non-severe leptospirosis patients was conducted. PubMed was searched to collect studies on the difference in clinical characteristics of severe and nonsevere patients, and data were analyzed using Comprehensive Meta-Analysis V3 software. Results showed that patients with severe outcomes were more likely to have dyspnoea, oliguria, and hemorrhagic symptoms than nonsevere patients. Determining these predictors in the early stages of the disease could thus significantly reduce the development of severe cases and related mortality.

摘要

钩端螺旋体病是一种具有广泛临床表现的细菌性人畜共患病。为了确定疾病严重程度的潜在风险因素和预测因素,对严重和非严重钩端螺旋体病患者的临床特征进行了荟萃分析。通过检索 PubMed 收集了关于严重和非严重患者临床特征差异的研究,并使用 Comprehensive Meta-Analysis V3 软件对数据进行了分析。结果表明,严重结局患者更有可能出现呼吸困难、少尿和出血症状。因此,在疾病早期确定这些预测因素可以显著减少严重病例的发展和相关死亡率。

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