莱姆病在亚洲人群的血清患病率:系统回顾和荟萃分析。

IF 1.8 4区 医学 Q3 INFECTIOUS DISEASES
Jieqin Song, Yan Dong, Yu Zhang, Guozhong Zhou, Xinya Wu, Li Gao, Hanxin Wu, Li Peng, Jiaru Yang, Zhenhua Ji, Bingxue Li, Yuxin Fan, Jingjing Chen, Meixiao Liu, Jing Kong, Weijie Ma, Lei Zhong, Weijiang Ma, Aihua Liu, Fukai Bao
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引用次数: 0

摘要

背景:莱姆病(Lyme disease, LD,又称莱姆博氏螺旋体病)是欧洲和美国由博氏螺旋体引起的最常见的蜱传疾病。LD分布于北半球,但在亚洲人群的血清患病率尚不清楚。目的:调查亚洲人群LD的血清患病率。数据来源:检索PubMed、Embase、Cochrane Central Register of Controlled Trials (Central)和其他来源的相关研究,从其成立到2022年6月20日。研究资格标准:无语言限制的横断面研究。研究对象:健康人、高危人群和疑似LD患者。此外,通过实验室诊断(酶联免疫吸附测定法(ELISA)/免疫荧光测定法(IFA)或/和双层检测)在人群中诊断LD的血清阳性率。偏倚风险评估:使用乔安娜布里格斯研究所(JBI)流行病学研究的标准化关键评估工具(分析横断面研究的关键评估清单)对偏倚风险进行评估。数据综合方法:从纳入的研究中获得亚洲人群中LD的血清阳性率和比例。两位作者根据我们预定义的标准(PROSPERO CRD42022362029)独立筛选和选择研究,并评估其偏倚风险。有第三位作者可以对差异进行仲裁。采用随机效应模型进行meta分析,确定LD的比例及相关信息,并对部分研究进行亚组分析,如LD的诊断方法、性别、有无蜱叮咬人群等。结果:全文筛选后纳入18项研究,荟萃分析纳入11498人。这些研究涵盖了中国、日本、韩国、日本、新加坡和印度尼西亚等国家。关于偏倚风险和JBI检查表,2项研究得7分,16项研究得8分。所有研究均被评为高质量(≥5分)。在荟萃分析中,ELISA/IFA检测LD的血清患病率为12.1%(95%可信区间[CI] 0.081-0.168),两级血清阳性检测在亚洲的患病率为5.7% (95% CI 0.034-0.085)。在亚组分析中,ELISA/IFA诊断为LD的比例(14.7%,95% CI 0.094 ~ 0.208)显著高于两层检测诊断为LD的比例(5.9%,95% CI 0.032 ~ 0.095) (p < 0.01)。女性的LD比例(7.4%,95% CI 0.036-0.123)略高于男性(6.2%,95% CI 0.026-0.111),但差异不显著(p = 0.70)。在研究人群中,47% (95% CI 0.159-0.795)被蜱虫叮咬(确诊蜱虫叮咬的人)。遭受蜱虫叮咬的人群(7.9%,95% CI 0.019-0.166)和未被蜱虫叮咬的人群(2.7%,95% CI 0.013-0.089)的LD比例(两层测试)差异无统计学意义(p = 0.09)。结论:荟萃分析显示LD在亚洲的高血清患病率,表明它已成为该地区一个重要的公共卫生问题。亚洲的相关政府部门和卫生组织应加强对LD的监测和教育工作。本研究强调了可靠和准确的标准血清学诊断程序对LD诊断的重要性。严格实施双层检测对LD诊断尤其重要。如果只使用ELISA/IFA,可能会导致假阳性结果。其关于艾滋病流行情况的调查结果可作为今后研究该区域艾滋病监测和流行情况的基础。此外,这些发现可能对临床医生的工作有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Seroprevalence of Lyme Disease in Asian Human Populations: A Systematic Review and Meta-Analysis.

Background: Lyme disease (LD, also known as Lyme borreliosis) is the most frequent tick-transmitted disease caused by the spirochete Borrelia in Europe and the United States. LD is distributed in the Northern Hemisphere, but the seroprevalence of LD in Asian human populations is unclear. Objectives: To investigate the seroprevalence of LD in Asian human populations. Data Sources: PubMed, Embase, the Cochrane Central Register of Controlled Trials (CENTRAL), and other sources were searched for relevant studies with MeSH terms from their inception up to 20 June 2022. Study Eligibility Criteria: Cross-sectional studies with no language restrictions. Participants: Healthy people, at-risk people, and patients with suspected LD. Moreover, the seroprevalence of LD was diagnosed by laboratory diagnosis (nzyme-linked immunosorbent assays (ELISA)/Immunofluorescence assays (IFA) or/and two-tier testing) in human populations. Assessment of Risk of Bias: Risk of bias was rated using the Joanna Briggs Institute (JBI) standardized critical appraisal instrument for prevalence studies (Critical Appraisal Checklist for Analytical Cross-Sectional Studies). Methods of Data Synthesis: Seroprevalence and proportion of LD in human populations in Asia were obtained from the included studies. Two authors independently screened and selected studies according to our predefined criteria (PROSPERO CRD42022362029) and assessed their risk of bias. A third author was available for arbitrating discrepancies. A random-effects model meta-analysis was conducted to determine the proportions of LD and related information, and further subgroup analyses of some studies were conducted, such as methods for diagnosing LD, gender, and human populations with and without tick bites. Results: There are 18 studies included after full-text screening and 11,498 people in the meta-analysis. These studies encompassed countries such as China, Japan, Korea, Türkiye, Singapore, and Indonesia. Regarding the risk of bias and the JBI checklist, 2 studies scored 7 points and 16 studies scored 8 points. All studies were rated as high quality (≥5 points). In the meta-analysis, the seroprevalences of LD were 12.1% (95% confidence interval [CI] 0.081-0.168) by ELISA/IFA and 5.7% (95% CI 0.034-0.085) for two-tier seropositivity testing in Asia. In subgroup analyses, the proportion of those diagnosed with LD by ELISA/IFA (14.7%, 95% CI 0.094-0.208) was significantly higher than the proportion diagnosed by two-tier testing (5.9%, 95% CI 0.032-0.095) (p < 0.01). The proportion of LD (two-tier testing) was slightly higher in women (7.4%, 95% CI 0.036-0.123) than in men (6.2%, 95% CI 0.026-0.111), but the difference was not significant (p = 0.70). In the study population, 47% (95% CI 0.159-0.795) were bitten by ticks (people with confirmed tick bites). The difference in the proportion of LD (two-tier testing) in people who suffered tick bites (7.9%, 95% CI 0.019-0.166) and those who did not (people not found to have confirmed tick bites) (2.7%, 95% CI 0.013-0.089) was not significant (p = 0.09). Conclusions: The meta-analysis reveals a high seroprevalence of LD in Asia, indicating that it has become a significant public health concern in the region. Relevant government departments and health organizations in Asia should enhance their surveillance and education efforts regarding LD. This study highlights the importance of a reliable and accurate standard serological diagnostic procedure for confirming a diagnosis of LD. The strict implementation of two-tier testing is especially crucial in diagnosing LD. If only ELISA/IFA is used, it may cause false positive results. Its findings on the prevalence of LD can serve as a foundation for future research on surveillance and the prevalence of LD in the region. In addition, these findings may be useful for clinicians in their work.

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来源期刊
CiteScore
4.70
自引率
4.80%
发文量
73
审稿时长
3-8 weeks
期刊介绍: Vector-Borne and Zoonotic Diseases is an authoritative, peer-reviewed journal providing basic and applied research on diseases transmitted to humans by invertebrate vectors or non-human vertebrates. The Journal examines geographic, seasonal, and other risk factors that influence the transmission, diagnosis, management, and prevention of this group of infectious diseases, and identifies global trends that have the potential to result in major epidemics. Vector-Borne and Zoonotic Diseases coverage includes: -Ecology -Entomology -Epidemiology -Infectious diseases -Microbiology -Parasitology -Pathology -Public health -Tropical medicine -Wildlife biology -Bacterial, rickettsial, viral, and parasitic zoonoses
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