Predictive markers for the early prognosis of dengue severity: A systematic review and meta-analysis.
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 o...
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ftdoajarticles:oai:doaj.org/article:659fe09ce6fb4647a477f53178a8aa6d 2023-05-15T15:15:37+02:00 Predictive markers for the early prognosis of dengue severity: A systematic review and meta-analysis. 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 2021-10-01T00:00:00Z https://doi.org/10.1371/journal.pntd.0009808 https://doaj.org/article/659fe09ce6fb4647a477f53178a8aa6d EN eng Public Library of Science (PLoS) https://doi.org/10.1371/journal.pntd.0009808 https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0009808 https://doaj.org/article/659fe09ce6fb4647a477f53178a8aa6d PLoS Neglected Tropical Diseases, Vol 15, Iss 10, p e0009808 (2021) Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 article 2021 ftdoajarticles https://doi.org/10.1371/journal.pntd.0009808 2022-12-30T20:26:54Z 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 ... Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic PLOS Neglected Tropical Diseases 15 10 e0009808 |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
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Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
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Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 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 Predictive markers for the early prognosis of dengue severity: A systematic review and meta-analysis. |
topic_facet |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
description |
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 ... |
format |
Article in Journal/Newspaper |
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 |
author_facet |
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 |
author_sort |
Tran Quang Thach |
title |
Predictive markers for the early prognosis of dengue severity: A systematic review and meta-analysis. |
title_short |
Predictive markers for the early prognosis of dengue severity: A systematic review and meta-analysis. |
title_full |
Predictive markers for the early prognosis of dengue severity: A systematic review and meta-analysis. |
title_fullStr |
Predictive markers for the early prognosis of dengue severity: A systematic review and meta-analysis. |
title_full_unstemmed |
Predictive markers for the early prognosis of dengue severity: A systematic review and meta-analysis. |
title_sort |
predictive markers for the early prognosis of dengue severity: a systematic review and meta-analysis. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2021 |
url |
https://doi.org/10.1371/journal.pntd.0009808 https://doaj.org/article/659fe09ce6fb4647a477f53178a8aa6d |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
PLoS Neglected Tropical Diseases, Vol 15, Iss 10, p e0009808 (2021) |
op_relation |
https://doi.org/10.1371/journal.pntd.0009808 https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0009808 https://doaj.org/article/659fe09ce6fb4647a477f53178a8aa6d |
op_doi |
https://doi.org/10.1371/journal.pntd.0009808 |
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PLOS Neglected Tropical Diseases |
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e0009808 |
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