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

IF 2.6 4区 医学 Q2 INFECTIOUS DISEASES
Shicui Yan, Xuebin Ding, Qiao Gao, Lili Zhao, Cong Li, Zhenlu Sun, Xuejun Ma
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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 (p < 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.

用临床实验室参数预测重症发热伴血小板减少综合征的死亡率:一项荟萃分析。
背景:本研究旨在充分评估不同临床实验室参数对发热伴血小板减少综合征(SFTS)死亡风险的预测效率。方法:系统检索Web of Science、PubMed、Cochrane Library和Embase,检索截止到2024年12月13日的实验室参数与SFTS死亡率相关性的研究。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。meta分析采用Stata17.0。结果:我们最终纳入了33项观察性研究,涉及9502名参与者(1799名死亡和7703名幸存者)。结果显示,病毒载量(优势比(OR) 1.93, 95%可信区间(CI) 1.56 ~ 2.38)、中性粒细胞与淋巴细胞比值(风险比(HR) 1.31, 95% CI 1.13 ~ 1.51)、中性粒细胞百分比(HR 1.02, 95% CI 1.01 ~ 1.03)、白细胞(HR 1.06, 95% CI 1.01 ~ 1.11)、活化的部分凝血活素时间(OR 1.07, 95% CI 1.04 ~ 1.09)、凝血酶原时间(OR 1.31, 95% CI 1.03 ~ 1.65)、肌酸激酶-心肌带(OR 1.01, 95% CI 1.01 ~ 1.02)、降钙素原(HR 1.27、(95% CI 1.10 ~ 1.47)大大增加了SFTS死亡率,而淋巴细胞百分比(HR 0.96, 95% CI 0.94 ~ 0.98)、血小板(HR 0.98, 95% CI 0.97 ~ 0.99)和白蛋白(HR 0.91, 95% CI 0.86 ~ 0.96)的降低也大大增加了SFTS死亡率;结果均有统计学意义(p < 0.05)。结论:病毒载量、血常规、凝血、多脏器功能障碍、炎症指标等实验室指标异常是预测SFTS死亡率的良好指标,可为临床提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Tropical Medicine and Infectious Disease
Tropical Medicine and Infectious Disease Medicine-Public Health, Environmental and Occupational Health
CiteScore
3.90
自引率
10.30%
发文量
353
审稿时长
11 weeks
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