Alternative Titleデング熱重症化の早期予後予測マーカーに対する評価：系統的レビューとメタ解析
Periodical titlePLoS Neglected Tropical Diseases
Degree grantor/typeNagasaki University (長崎大学)
Note (General)Background: Predictive markers represent a solution for the proactive management of severe dengue. Despite the low mortality rate resulting from severe cases, dengue requires constant examination and round-the-clock nursing care due to the unpredictable progression of complications, posing a burden on clinical triage and material resources. Accordingly, identifying markers that allow for predicting disease prognosis from the initial diagnosis is needed. Given the improved pathogenesis understanding, myriad candidates have been proposed to be associated with severe dengue progression. Thus, we aim to review the relationship between the available biomarkers and severe dengue.Methodology: We performed a systematic review and meta-analysis to compare the differences in host data collected within 72 hours of fever onset amongst the different disease severity levels. We searched nine bibliographic databases without restrictive criteria of language and publication date. We assessed risk of bias and graded robustness of evidence using NHLBI quality assessments and GRADE, respectively. This study protocol is registered in PROSPERO (CRD42018104495).Principal findings: Of 4000 records found, 40 studies for qualitative synthesis, 19 for meta-analysis. We identified 108 host and viral markers collected within 72 hours of fever onset from 6160 laboratory-confirmed dengue cases, including hematopoietic parameters, biochemical substances, clinical symptoms, immune mediators, viral particles, and host genes. Overall, inconsistent case classifications explained substantial heterogeneity, and meta-analyses lacked statistical power. Still, moderate-certainty evidence indicated significantly lower platelet counts (SMD -0.65, 95% CI -0.97 to -0.32) and higher AST levels (SMD 0.87, 95% CI 0.36 to 1.38) in severe cases when compared to non-severe dengue during this time window.Conclusion: The findings suggest that alterations of platelet count and AST level—in the first 72 hours of fever onset—are independent markers predicting the development of severe dengue.
長崎大学学位論文 学位記番号:博(医歯薬)甲第1440号 学位授与年月日:令和4年3月18日
Author: Tran Quang Thach, Heba Gamal Eisa, AlMotsim Ben Hmeda, Hazem Faraj, Tieu Minh Thuan, Manal Mahmoud Abdelrahman, Mario Gerges Awadallah, Nam Xuan Ha, Michael Noeske, Jeza Muhamad Abdul Aziz, Nguyen Hai Nam, Mohamed El Nile, Shyam Prakash Dumre, Nguyen Tien Huy, Kenji Hirayama
Citation: PLoS Neglected Tropical Diseases, 15(10), art.no. e0009808; 2021
identifier:Nagasaki University (長崎大学), 博士(医学) (2022-03-18)
Collection (particular)国立国会図書館デジタルコレクション > デジタル化資料 > 博士論文
Date Accepted (W3CDTF)2022-06-05T18:01:14+09:00
Data Provider (Database)国立国会図書館 : 国立国会図書館デジタルコレクション