Red Blood Cell Distribution Width and Platelet Based Ratios in Patients with Crimean-Congo Hemorrhagic Fever: Can They Serve as Prognostic Markers?


Yilmaz S. I., Delice O., Seker F. K., YILMAZ S.

FLORA INFEKSIYON HASTALIKLARI VE KLINIK MIKROBIYOLOJI DERGISI, cilt.30, sa.2, ss.174-183, 2025 (ESCI) identifier

Özet

Introduction: The relationship between red blood cell distribution width and platelet-based ratios and prognosis in patients with hemorrhagic viral infections such as Crimean-Congo hemorrhagic fever (CCHF), which have high mortality and morbidity rates, is not fully understood. This study aimed to determine the relationship between red blood cell distribution width and platelet-based ratios with bleeding and in-hospital death in CCHF patients. Materials and Methods: A total of 318 patients who were admitted to Erzurum City Hospital between April 2020 and July 2023 and whose CCHF diagnosis was confirmed by reverse transcription chain reaction were retrospectively reviewed. Demographic data, laboratory results, and clinical information of the patients were obtained from the hospital information management system. Red blood cell distribution width and platelet-based ratios were calculated, and their associations with bleeding and mortality were evaluated. Results: The mean age of the patients was 49.4 +/- 18.2 years, and 62.6% were male. Low hemoglobin and platelet values at presentation, as well as high Red blood cell distribution width/Hemoglobin Ratio (RHR), Red blood cell distribution width/Platelet Ratio (RPR), Mean platelet volume/Platelet Ratio (MPR) and Hemoglobin/Platelet Ratio (HPR) ratios, were found to be associated with bleeding in patients (p< 0.05 for all). High RDW, low platelet, high NLR and RPR were associated with death (p< 0.05 for all). RPR demonstrated the best performance in predicting both bleeding and death (AUC= 0.69, 95% CI= 0.61-0.77, p< 0.001 and AUC= 0.82, 95% CI= 0.72-0.92, p< 0.001, respectively). Conclusion: RDW-based ratios, especially the RPO ratio, can be used as markers to predict the risk of bleeding and mortality in CCHF patients.