Hertanti Nuzul Sri, Nguyen Trung V, Chuang Yeu-Hui
School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan.
Center for Tropical Medicine, Universitas Gadjah Mada, Yogyakarta, Indonesia.
EClinicalMedicine. 2024 Dec 31;80:103041. doi: 10.1016/j.eclinm.2024.103041. eCollection 2025 Feb.
Fatigue during the acute phase of dengue infection can persist as post-infectious fatigue (PIF), potentially impacting quality of life. We aimed to determine the prevalence and risk factors of fatigue and PIF among dengue patients.
This systematic review and meta-analysis was registered in the PROSPERO (CRD42024543058). We searched PubMed, Ovid MEDLINE, Web of Science, Embase, and CINAHL from their inception to June 22, 2024. Observational studies reporting the prevalence of fatigue or PIF among dengue patients were included. We excluded case studies, review articles, conference abstracts, protocols, duplicate publications, and studies without full text. Quality assessment was performed using Hoy's risk of bias tool. Data were analyzed using R software version 4.3.3. A random-effects model pooled prevalence with 95% confidence intervals (CIs). Risk factors were identified using odd ratios (ORs) and 95% CIs or values. Heterogeneity, moderator analysis, sensitivity analysis, and publication bias were also assessed.
From 715 identified studies, 40 were included for review. Of these, 37 studies were included in the meta-analysis for fatigue prevalence and nine studies for PIF prevalence, respectively involving 37,790 and 5045 dengue patients. The pooled prevalence of fatigue was 59.0% (95% CI 0.47-0.70), and that of PIF was 20.0% (95% CI 0.10-0.36), with significant heterogeneity but no significant moderators. Sensitivity analysis confirmed the robustness of this meta-analysis. Female sex (pooled OR = 1.65, 95% CI 1.27-2.14), dengue hemorrhagic fever (pooled OR = 1.80, 95% CI 1.02-3.16), and preexisting comorbidities (pooled OR = 2.14, 95% CI 1.36-3.38) were significant risk factors for PIF.
This meta-analysis highlights the high prevalence of fatigue and PIF among dengue patients, with several risk factors identified. Although the study has its limitations, these results can inform future studies to more standardized study designs, improved definitions, and systematic assessment methods for fatigue, PIF, and potential moderators. These are essential to better understand the mechanisms of fatigue in dengue patients and explore potential interventions.
None.
登革热感染急性期的疲劳可能会持续存在,成为感染后疲劳(PIF),这可能会影响生活质量。我们旨在确定登革热患者中疲劳和PIF的患病率及危险因素。
本系统评价和荟萃分析已在国际前瞻性系统评价注册库(PROSPERO,注册号:CRD42024543058)登记。我们检索了PubMed、Ovid MEDLINE、Web of Science、Embase和CINAHL数据库,检索时间从各数据库建库至2024年6月22日。纳入报告登革热患者疲劳或PIF患病率的观察性研究。我们排除了病例研究、综述文章、会议摘要、方案、重复发表的文献以及无全文的研究。使用霍伊偏倚风险工具进行质量评估。使用R软件版本4.3.3进行数据分析。采用随机效应模型合并患病率及95%置信区间(CI)。使用比值比(OR)及95%CI或 值确定危险因素。还评估了异质性、效应量分析、敏感性分析和发表偏倚。
在715项检索到的研究中,40项纳入综述。其中,37项研究纳入疲劳患病率的荟萃分析,9项研究纳入PIF患病率的荟萃分析,分别涉及37790例和5045例登革热患者。疲劳的合并患病率为59.0%(95%CI 0.47 - 0.70),PIF的合并患病率为20.0%(95%CI 0.10 - 0.36),存在显著异质性但无显著效应量。敏感性分析证实了该荟萃分析的稳健性。女性(合并OR = 1.65,95%CI 1.27 - 2.14)、登革出血热(合并OR = 1.80,95%CI 1.02 - 3.16)和既往合并症(合并OR = 2.14,95%CI 1.36 - 3.38)是PIF的显著危险因素。
本荟萃分析突出了登革热患者中疲劳和PIF的高患病率,并确定了多个危险因素。尽管本研究存在局限性,但这些结果可为未来研究提供参考,以采用更标准化的研究设计、改进疲劳、PIF及潜在效应量的定义和系统评估方法。这些对于更好地理解登革热患者疲劳的机制及探索潜在干预措施至关重要。
无。