Prognostic Value of Admission Glucose and Extended Lipid Profile in Patients with Crimean‐Congo Hemorrhagic Fever

Crimean-Congo hemorrhagic fever (CCHF) is a life-threatening viral hemorrhagic fever with a highly variable clinical course. While viral and inflammatory markers determining disease severity are well defined, the impact of the host's metabolic status on CCHF severity remains largely unexplored. The aim of this study is to investigate the relationship between metabolic syndrome components, lipid profile, and disease severity in patients with CCHF. This single-center, prospective, case-control study included 74 polymerase chain reaction (PCR)-confirmed CCHF patients and 31 healthy controls. Patients were stratified into mild and moderate-severe disease groups based on clinical findings and severity grading scores. Metabolic parameters, including body mass index (BMI), fasting blood glucose (FBG), and lipid profile, were compared between patient and control groups as well as according to disease severity. The patient and control groups were similar in terms of age, gender, BMI, and FBG levels. Low-density lipoprotein cholesterol (LDL-C), levels were significantly lower in CCHF patients compared to the control group (p = 0.042), while high-density lipoprotein cholesterol (HDL-C), levels were lower with borderline significance (p = 0.051). Patients in the moderate-severe disease group had significantly higher BMI (p = 0.010), FBG (p < 0.01), and triglyceride levels (p = 0.033) compared to those with mild disease. ROC analysis demonstrated that an FBG cut-off value of > 105 mg/dL had the highest discriminatory power in predicting severe disease (AUC: 0.761). In multivariate logistic regression analysis, FBG (OR: 1.026; 95% CI: 1.007-1.045; p = 0.007) was identified as independent factors associated with disease severity. Metabolic parameters, particularly FBG and triglyceride levels, are significantly associated with disease severity in CCHF. Evaluation of the metabolic status at admission may contribute to early risk stratification and the improvement of clinical management in CCHF patients.

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Journal
Journal of Medical Virology
Published
2026-04-01
DOI
https://doi.org/10.1002/jmv.70918
Primary Topic
Viral Infections and Vectors
Type
article
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article

Prognostic Value of Admission Glucose and Extended Lipid Profile in Patients with Crimean‐Congo Hemorrhagic Fever

Yasemin Çakır Kıymaz, Seyit Ali Büyüktuna, Caner Öksüz, Nazif Elaldı et al.
Journal of Medical Virology
Viral Infections and Vectors
article

Prognostic Value of Admission Glucose and Extended Lipid Profile in Patients with Crimean‐Congo Hemorrhagic Fever

Yasemin Çakır Kıymaz, Seyit Ali Büyüktuna, Caner Öksüz, Nazif Elaldı, Cihad Baysal
article en

Abstract

Crimean-Congo hemorrhagic fever (CCHF) is a life-threatening viral hemorrhagic fever with a highly variable clinical course. While viral and inflammatory markers determining disease severity are well defined, the impact of the host's metabolic status on CCHF severity remains largely unexplored. The aim of this study is to investigate the relationship between metabolic syndrome components, lipid profile, and disease severity in patients with CCHF. This single-center, prospective, case-control study included 74 polymerase chain reaction (PCR)-confirmed CCHF patients and 31 healthy controls. Patients were stratified into mild and moderate-severe disease groups based on clinical findings and severity grading scores. Metabolic parameters, including body mass index (BMI), fasting blood glucose (FBG), and lipid profile, were compared between patient and control groups as well as according to disease severity. The patient and control groups were similar in terms of age, gender, BMI, and FBG levels. Low-density lipoprotein cholesterol (LDL-C), levels were significantly lower in CCHF patients compared to the control group (p = 0.042), while high-density lipoprotein cholesterol (HDL-C), levels were lower with borderline significance (p = 0.051). Patients in the moderate-severe disease group had significantly higher BMI (p = 0.010), FBG (p < 0.01), and triglyceride levels (p = 0.033) compared to those with mild disease. ROC analysis demonstrated that an FBG cut-off value of > 105 mg/dL had the highest discriminatory power in predicting severe disease (AUC: 0.761). In multivariate logistic regression analysis, FBG (OR: 1.026; 95% CI: 1.007-1.045; p = 0.007) was identified as independent factors associated with disease severity. Metabolic parameters, particularly FBG and triglyceride levels, are significantly associated with disease severity in CCHF. Evaluation of the metabolic status at admission may contribute to early risk stratification and the improvement of clinical management in CCHF patients.

Journal of Medical VirologyVol. 98(4)
Sivas Cumhuriyet Üniversitesi (TR)
Reduced inequalities
Openalex Percentile: Top 19%
Viral Infections and Vectors
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