Abdelaziz A Awad, Mahalaqua Nazli Khatib, Abhay M Gaidhane, Suhas Ballal, Pooja Bansal, Manish Srivastava, Isha Arora, M Ravi Kumar, Aashna Sinha, Pramod Rawat, Sanjit Sah, Ganesh Bushi, Sorabh Lakhanpal, Muhammed Shabil
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We included human observational studies reporting on AKI predictors in confirmed dengue cases. Nested-Knowledge software was used for screening and data extraction. The Newcastle-Ottawa Scale was used for quality assessment. R software (V 4.3) was utilized to compute pooled odds ratios (ORs) and 95% confidence intervals (CIs) for each predictor.</p><p><strong>Results: </strong>Our search yielded nine studies involving diverse geographic locations and patient demographics. A total of 9,198 patients were included in the studies, with 542 diagnosed with AKI. in which key predictors of AKI identified include severe forms of dengue (OR: 2.22, 95% CI: 1.02-3.42), male gender (OR: 3.13, 95% CI: 1.82-4.44), comorbidities such as diabetes mellitus (OR: 3.298, 95% CI: 0.274-6.322), and chronic kidney disease (OR: 2.2, 95% CI: 0.42-11.24), as well as co-infections and clinical manifestations like rhabdomyolysis and major bleeding.</p><p><strong>Conclusion: </strong>Our study identifies several predictors of AKI in dengue patients. These findings indicate the importance of early identification and intervention for high-risk individuals. Future research should focus on standardizing AKI diagnostic criteria within the dengue context and exploring the mechanisms underlying these associations to improve patient care and outcomes.</p>","PeriodicalId":23616,"journal":{"name":"Virology Journal","volume":null,"pages":null},"PeriodicalIF":4.0000,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11414051/pdf/","citationCount":"0","resultStr":"{\"title\":\"Predictors of acute kidney injury in dengue patients: a systematic review and meta-analysis.\",\"authors\":\"Abdelaziz A Awad, Mahalaqua Nazli Khatib, Abhay M Gaidhane, Suhas Ballal, Pooja Bansal, Manish Srivastava, Isha Arora, M Ravi Kumar, Aashna Sinha, Pramod Rawat, Sanjit Sah, Ganesh Bushi, Sorabh Lakhanpal, Muhammed Shabil\",\"doi\":\"10.1186/s12985-024-02488-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Dengue infection poses a significant global health challenge, particularly in tropical and subtropical regions. 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引用次数: 0
摘要
背景:登革热感染对全球健康构成重大挑战,尤其是在热带和亚热带地区。在登革热的严重并发症中,急性肾损伤(AKI)尤为突出,因为它与发病率、死亡率和医疗负担的增加有关。这项 Meta 分析旨在确定和评估登革热患者急性肾损伤的预测因素,以便及早发现并制定管理策略,减轻急性肾损伤的影响:我们检索了 PubMed、EMBASE 和 Web of Science 数据库中截至 2024 年 2 月的文献。我们纳入了报告登革热确诊病例 AKI 预测因素的人类观察性研究。使用 Nested-Knowledge 软件进行筛选和数据提取。采用纽卡斯尔-渥太华量表进行质量评估。使用 R 软件(V 4.3)计算每个预测因子的汇总几率比(ORs)和 95% 置信区间(CIs):我们的搜索结果显示,有九项研究涉及不同的地理位置和患者人口统计学特征。这些研究共纳入了 9,198 名患者,其中 542 名患者被诊断为 AKI。44)、合并症如糖尿病(OR:3.298,95% CI:0.274-6.322)和慢性肾脏病(OR:2.2,95% CI:0.42-11.24),以及合并感染和临床表现如横纹肌溶解和大出血:我们的研究发现了登革热患者发生 AKI 的几种预测因素。这些发现表明了早期识别和干预高危人群的重要性。未来的研究应侧重于在登革热背景下规范 AKI 诊断标准,并探索这些关联的内在机制,以改善患者护理和预后。
Predictors of acute kidney injury in dengue patients: a systematic review and meta-analysis.
Background: Dengue infection poses a significant global health challenge, particularly in tropical and subtropical regions. Among its severe complications, Acute kidney injury (AKI) stands out due to its association with increased morbidity, mortality, and healthcare burdens. This Meta-analysis aim to identify and evaluate the predictors of AKI among dengue patients, facilitating early detection and management strategies to mitigate AKI's impact.
Methods: We searched PubMed, EMBASE, and Web of Science databases, covering literature up to February 2024. We included human observational studies reporting on AKI predictors in confirmed dengue cases. Nested-Knowledge software was used for screening and data extraction. The Newcastle-Ottawa Scale was used for quality assessment. R software (V 4.3) was utilized to compute pooled odds ratios (ORs) and 95% confidence intervals (CIs) for each predictor.
Results: Our search yielded nine studies involving diverse geographic locations and patient demographics. A total of 9,198 patients were included in the studies, with 542 diagnosed with AKI. in which key predictors of AKI identified include severe forms of dengue (OR: 2.22, 95% CI: 1.02-3.42), male gender (OR: 3.13, 95% CI: 1.82-4.44), comorbidities such as diabetes mellitus (OR: 3.298, 95% CI: 0.274-6.322), and chronic kidney disease (OR: 2.2, 95% CI: 0.42-11.24), as well as co-infections and clinical manifestations like rhabdomyolysis and major bleeding.
Conclusion: Our study identifies several predictors of AKI in dengue patients. These findings indicate the importance of early identification and intervention for high-risk individuals. Future research should focus on standardizing AKI diagnostic criteria within the dengue context and exploring the mechanisms underlying these associations to improve patient care and outcomes.
期刊介绍:
Virology Journal is an open access, peer reviewed journal that considers articles on all aspects of virology, including research on the viruses of animals, plants and microbes. The journal welcomes basic research as well as pre-clinical and clinical studies of novel diagnostic tools, vaccines and anti-viral therapies.
The Editorial policy of Virology Journal is to publish all research which is assessed by peer reviewers to be a coherent and sound addition to the scientific literature, and puts less emphasis on interest levels or perceived impact.