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Prognostic Value of Admission Glucose and Extended Lipid Profile in Patients with Crimean-Congo Hemorrhagic Fever
Yasemin Çakır Kıymaz1, Cihad Baysal1, Caner Öksüz1
1Department of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Sivas Cumhuriyet University, Sivas, Turkey.
Insights
Metabolic factors like fasting blood glucose and triglycerides are linked to Crimean-Congo hemorrhagic fever (CCHF) severity. Early assessment of metabolic status can aid in risk stratification and managing CCHF patients.
Area of Science:
- Infectious Diseases
- Metabolic Syndrome
- Clinical Medicine
Background:
- Crimean-Congo hemorrhagic fever (CCHF) is a severe viral illness with unpredictable clinical outcomes.
- While inflammatory markers are known predictors of CCHF severity, the role of host metabolic status is understudied.
- Understanding metabolic influences is crucial for comprehensive CCHF patient management.
Purpose of the Study:
- To investigate the association between metabolic syndrome components, lipid profiles, and CCHF disease severity.
- To determine if metabolic parameters can predict the severity of Crimean-Congo hemorrhagic fever.
- To explore the relationship between host metabolic status and clinical outcomes in CCHF patients.
Main Methods:
- A prospective, case-control study involving 74 PCR-confirmed CCHF patients and 31 healthy controls.
- Patients were categorized into mild and moderate-severe disease groups based on clinical criteria.
- Comparison of metabolic parameters (BMI, FBG, lipid profile) between patient groups and controls, and by disease severity.
Main Results:
- CCHF patients exhibited lower LDL-C and borderline lower HDL-C compared to controls.
- Moderate-severe CCHF cases showed significantly higher BMI, FBG, and triglyceride levels than mild cases.
- Fasting blood glucose >105 mg/dL was a strong predictor of severe CCHF (AUC: 0.761); FBG independently predicted severity (OR: 1.026).
Conclusions:
- Metabolic parameters, especially fasting blood glucose and triglycerides, are significantly associated with CCHF disease severity.
- Assessing metabolic status upon admission can aid in early risk stratification for CCHF patients.
- Integrating metabolic evaluation into clinical practice may improve the management and outcomes of Crimean-Congo hemorrhagic fever.
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.
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