Analysis of liver fibrosis equations as a potential role of predictive models in Crimean-Congo hemorrhagic fever

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dc.authoridZararsiz, Gokmen/0000-0001-5801-1835
dc.authoridbolat, serkan/0000-0002-8669-8782
dc.authoridDOGAN, Kubra/0000-0002-9448-3407
dc.contributor.authorBolat, Serkan
dc.contributor.authorBuyuktuna, Seyit Ali
dc.contributor.authorIpekten, Funda
dc.contributor.authorDogan, Kuebra
dc.contributor.authorZararsiz, Gokmen
dc.contributor.authorDoang, Halef Okan
dc.date.accessioned2024-10-26T18:09:27Z
dc.date.available2024-10-26T18:09:27Z
dc.date.issued2024
dc.departmentSivas Cumhuriyet Üniversitesi
dc.description.abstractCrimean-Congo Hemorrhagic Fever (CCHF) is a formidable global health concern, characterized by its rapid onset and high fatality rate. Distinguishing between patients at different stages remains challenging because of overlapping clinical features. This study aimed to evaluate the diagnostic efficacy of 14 hepatic fibrosis indices for distinguishing fatal cases and intensive care unit requirement (ICU) in CCHF. This study enrolled 194 patients with confirmed CCHF. Laboratory measurements were performed using auto analyzers. Indirect indicators of fibrosis were calculated for each patient based on previously described formulas. Time-dependent receiver operating characteristic (tdROC) curve analyses were employed to evaluate the predictive effects of hepatic fibrosis indices on both intensive care unit requirement and overall survival among patients. Regarding the tdROC analyses results, the highest area under the curve statistics were obtained for the baseline S-INDEX, KING, and GPRI scores (0.920, 0.913, and 0.909 respectively) in the estimation of ten-day survival, and the baseline KING, Goteborg University cirrhosis index (GUCI), and gamma-glutamyl transferase to platelet ratio index (GPRI) scores (0.783, 0.773, and 0.769 respectively) in the estimation of intensive care requirements for up to ten days. S-index and KING index emerged as early predictors of ten-day survival, while KING, GUCI, and GPRI indices demonstrated predictive capabilities for ICU admission on the first day. The identified indices have the potential to assist healthcare providers in making timely and informed decisions regarding patient management and treatment strategies. Further research and validation are warranted to solidify the role of these hepatic fibrosis indices in the clinical setting and enhance their broader applicability in the management of CCHF.
dc.identifier.doi10.1016/j.actatropica.2024.107121
dc.identifier.issn0001-706X
dc.identifier.issn1873-6254
dc.identifier.pmid38218391
dc.identifier.scopus2-s2.0-85182778749
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.actatropica.2024.107121
dc.identifier.urihttps://hdl.handle.net/20.500.12418/30119
dc.identifier.volume251
dc.identifier.wosWOS:001166761300001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofActa Tropica
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectCrimean-Congo hemorrhagic fever
dc.subjectLiver
dc.subjectSerum biomarkers
dc.subjectLiver fibrosis
dc.subjectNon -invasive
dc.titleAnalysis of liver fibrosis equations as a potential role of predictive models in Crimean-Congo hemorrhagic fever
dc.typeArticle

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