Prognostic Impact of Platelet Distribution Width in Patients With Crimean-Congo Hemorrhagic Fever

Yılmaz H., YILMAZ G., MENTEŞE A., Kostakoglu U., KARAHAN S. C., KOKSAL I.

JOURNAL OF MEDICAL VIROLOGY, vol.88, no.11, pp.1862-1866, 2016 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 88 Issue: 11
  • Publication Date: 2016
  • Doi Number: 10.1002/jmv.24547
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.1862-1866
  • Karadeniz Technical University Affiliated: Yes


Platelet distribution width (PDW) is a readily available blood test involving calculations performed by automated blood analyzers. Crimean-Congo hemorrhagic fever (CCHF) may exhibit a severe profile with fatal hemorrhaging or else present with a mild clinical process. The purpose of our study was to investigate the importance of PDW in CCHF patients and its clinical prognostic value. This study was conducted with patients with CCHF. Patients were divided into two groups on the basis of presence or absence of bleeding. Demographic characteristics, clinical findings, PDW, and other laboratory tests were recorded onto forms. A total of 423 patients were included. Hemorrhaging was observed in 27.9% during hospitalization. PDW on the first day of hospitalization was 17.2 +/- 0.9% in the hemorrhagic patients and 17.1 +/- 0.6% in the cases without hemorrhage (P = 0.290). On the third day of hospitalization, PDW was 17.6 +/- 0.8% in the hemorrhagic patients and 17.0 +/- 0.7% in the cases without hemorrhage (P < 0.001). At a third-day PDW level cut-off point of 17.1%, AUROC was 0.677, sensitivity 65.5%, specificity 54.6%, PPV 35.5%, and NPV 80.6%. A oneunit raise in third day PDW stepped up the probability of bleeding in patients with CCHF 3.45-fold at logistic regression analysis. This study shows that PDW is a parameter that may be used to determine disease severity. This parameter may be at least as useful as platelet count in helping clinicians identify severe cases. Early identification of cases with a severe course will make it possible to provide early planning of modalities such as intensive care support. (C) 2016 Wiley Periodicals, Inc.