Nuzul Sri Hertanti, Trung V Nguyen, Yeu-Hui Chuang
{"title":"Global prevalence and risk factors of fatigue and post-infectious fatigue among patients with dengue: a systematic review and meta-analysis.","authors":"Nuzul Sri Hertanti, Trung V Nguyen, Yeu-Hui Chuang","doi":"10.1016/j.eclinm.2024.103041","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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 <i>p</i> values. Heterogeneity, moderator analysis, sensitivity analysis, and publication bias were also assessed.</p><p><strong>Findings: </strong>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.</p><p><strong>Interpretation: </strong>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.</p><p><strong>Funding: </strong>None.</p>","PeriodicalId":11393,"journal":{"name":"EClinicalMedicine","volume":"80 ","pages":"103041"},"PeriodicalIF":9.6000,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11751573/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"EClinicalMedicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.eclinm.2024.103041","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0
Abstract
Background: 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.
Methods: 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 p values. Heterogeneity, moderator analysis, sensitivity analysis, and publication bias were also assessed.
Findings: 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.
Interpretation: 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.
期刊介绍：
eClinicalMedicine is a gold open-access clinical journal designed to support frontline health professionals in addressing the complex and rapid health transitions affecting societies globally. The journal aims to assist practitioners in overcoming healthcare challenges across diverse communities, spanning diagnosis, treatment, prevention, and health promotion. Integrating disciplines from various specialties and life stages, it seeks to enhance health systems as fundamental institutions within societies. With a forward-thinking approach, eClinicalMedicine aims to redefine the future of healthcare.
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