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通过临床实验室参数预测发热伴血小板减少综合征患者的死亡率:一项Meta分析

Prediction of Mortality by Clinical Laboratory Parameters in Severe Fever with Thrombocytopenia Syndrome: A Meta-Analysis.

作者信息

Yan Shicui, Ding Xuebin, Gao Qiao, Zhao Lili, Li Cong, Sun Zhenlu, Ma Xuejun

机构信息

Yantai Center for Disease Control and Prevention, No. 17 Fuhou Road, Laishan District, Yantai 264003, China.

National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 155, Changbai Street, Changping District, Beijing 102206, China.

出版信息

Trop Med Infect Dis. 2025 Jul 9;10(7):193. doi: 10.3390/tropicalmed10070193.

Abstract

BACKGROUND

This study intended to fully assess the predictive efficiency of different clinical laboratory parameters for the mortality risk in severe fever with thrombocytopenia syndrome (SFTS).

METHODS

We systematically searched the Web of Science, PubMed, Cochrane Library, and Embase up to 13 December 2024 for studies on the association of laboratory parameters with SFTS mortality. Two investigators were independently responsible for the study screening and data extraction, and they assessed the study quality using the Newcastle-Ottawa Scale (NOS). Stata17.0 was adopted for the meta-analyses.

RESULTS

We finally included 33 observational studies involving 9502 participants (1799 deaths and 7703 survivors). The results showed that increases in the viral load (odds ratio (OR) 1.93, 95% confidence interval (CI) 1.56-2.38), neutrophil-to-lymphocyte ratio (hazard ratio (HR) 1.31, 95% CI 1.13-1.51), neutrophil percentage (HR 1.02, 95% CI 1.01-1.03), white blood cells (HR 1.06, 95% CI 1.01-1.11), activated partial thromboplastin time (OR 1.07, 95% CI 1.04-1.09), prothrombin time (OR 1.31, 95% CI 1.03-1.65), creatine kinase-myocardial band (OR 1.01, 95% CI 1.01-1.02), and procalcitonin (HR 1.27, 95% CI 1.10-1.47) greatly increased the SFTS mortality, while decreases in the lymphocyte percentage (HR 0.96, 95% CI 0.94-0.98), platelets (HR 0.98, 95% CI 0.97-0.99), and albumin (HR 0.91, 95% CI 0.86-0.96) also greatly increased the SFTS mortality; the results were all statistically significant ( < 0.05).

CONCLUSION

Abnormalities of laboratory parameters (e.g., viral load, blood routine, coagulation, multi-organ dysfunction, and inflammation indicators) are good predictors of SFTS mortality, which can provide valuable references in clinical practice.

摘要

背景

本研究旨在全面评估不同临床实验室参数对发热伴血小板减少综合征(SFTS)死亡风险的预测效能。

方法

我们系统检索了截至2024年12月13日的Web of Science、PubMed、Cochrane图书馆和Embase,以查找关于实验室参数与SFTS死亡率关联的研究。两名研究者独立负责研究筛选和数据提取,并使用纽卡斯尔-渥太华量表(NOS)评估研究质量。采用Stata17.0进行荟萃分析。

结果

我们最终纳入了33项观察性研究,涉及9502名参与者(1799例死亡和7703例幸存者)。结果显示,病毒载量升高(比值比(OR)1.93,95%置信区间(CI)1.56 - 2.38)、中性粒细胞与淋巴细胞比值升高(风险比(HR)1.31,95% CI 1.13 - 1.51)、中性粒细胞百分比升高(HR 1.02,95% CI 1.01 - 1.03)、白细胞升高(HR 1.06,95% CI 1.01 - 1.11)、活化部分凝血活酶时间升高(OR 1.07,95% CI 1.04 - 1.09)、凝血酶原时间升高(OR 1.31,95% CI 1.03 - 1.65)、肌酸激酶同工酶升高(OR 1.01,95% CI 1.01 - 1.02)和降钙素原升高(HR 1.27,95% CI 1.10 - 1.47)均显著增加SFTS死亡率,而淋巴细胞百分比降低(HR 0.96,95% CI 0.94 - 0.98)、血小板降低(HR 0.98,95% CI 0.97 - 0.99)和白蛋白降低(HR 0.91,95% CI 0.86 - 0.96)也显著增加SFTS死亡率;所有结果均具有统计学意义(<0.05)。

结论

实验室参数异常(如病毒载量、血常规、凝血、多器官功能障碍及炎症指标)是SFTS死亡率的良好预测指标,可为临床实践提供有价值的参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3532/12300845/d195f48c408f/tropicalmed-10-00193-g001.jpg

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