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Can we predict bleeding at admission in Crimean-Congo hemorrhagic fever?
Sinan Çetin1, Ahmet Melih Şahin1
1Giresun University, Department of Infectious Diseases and Clinical Microbiology, Giresun, Turkey.
Insights
Bleeding in Crimean-Congo hemorrhagic fever (CCHF) is predicted by elevated procalcitonin and delayed hospital admission. These factors significantly increase the risk of hemorrhage in CCHF patients.
Area of Science:
- Infectious Diseases
- Hematology
- Clinical Medicine
Background:
- Bleeding complications significantly impact Crimean-Congo hemorrhagic fever (CCHF) prognosis.
- Identifying risk factors for bleeding is crucial for effective CCHF management.
Purpose of the Study:
- To identify independent risk factors for bleeding development in CCHF patients.
- To aid in the clinical management of CCHF by predicting bleeding risk.
Main Methods:
- Retrospective analysis of 74 CCHF patients, divided into bleeding and non-bleeding groups.
- Logistic regression analysis of demographic, clinical, and laboratory parameters to identify risk factors.
- Receiver operating characteristic (ROC) analysis to determine cut-off values for numerical variables.
Main Results:
- Procalcitonin, days from symptom onset to admission, platelet count, and d-dimer were independent risk factors for bleeding.
- Procalcitonin elevation showed the strongest association, increasing bleeding risk approximately 5.3-fold per unit increase.
- LDH and ferritin demonstrated high sensitivity, while procalcitonin showed high specificity in discriminating bleeding.
Conclusions:
- Specific clinical and laboratory variables can predict bleeding in CCHF.
- Elevated procalcitonin levels and delayed hospital admission are significant predictors of bleeding in CCHF.
Background:
In Crimean-Congo hemorrhagic fever, bleeding has a significant impact on the prognosis of the disease. In our study, we aimed to identify independent risk factors for the development of bleeding in Crimean-Congo hemorrhagic fever and to contribute to the management of the disease.
Methods:
Cases with a definitive diagnosis of Crimean-Congo hemorrhagic fever were divided into two groups: those who developed bleeding and those who did not. Demographic, clinical and laboratory parameters were subjected to logistic regression analysis in terms of risk factors for bleeding development. Cut-off values for numerical variables were determined by receiver operating characteristics.
Results:
A total of 74 patients diagnosed with CCHF were included in the study. Bleeding occurred in at least one defined focus in 21 patients. In the multivariate logistic regression model, procalcitonin, days from symptom onset to admission, platelet count, and d-dimer were identified as independent risk factors for bleeding development. Procalcitonin had the most significant effect, with an approximately 5.3-fold increase in bleeding risk for each unit increase in its level. For discriminate bleeding, LDH and ferritin exhibited the highest sensitivity, while procalcitonin showed the highest specificity.
Conclusion:
This study demonstrates the potential use of specific clinical and laboratory variables to predict bleeding development in CCHF patients. Procalcitonin elevation and the time from symptom onset to hospital admission have a significant effect in predicting bleeding.
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