Platelet Distribution Width to Platelet Count Ratio as an Index of Severity of Illness

Indian J Pediatr. 2018 Jan;85(1):10-14. doi: 10.1007/s12098-017-2432-z. Epub 2017 Aug 26.

Abstract

Objective: To prospectively validate association between the ratio of platelet distribution width (PDW)/platelet count (PCT) and pediatric intensive care unit (PICU) mortality.

Methods: The study was done in the pediatric intensive care unit (PICU). Platelet indices in the first sample taken after admission were used. In this case control analysis, cases were the patients who died in PICU and the survivors served as controls. Consecutive 209 eligible patients over a period of 15 mo from January 2014 through March 2015 were included. Exposure was PDW/PC above 0.07. Of them 174 survived and 35 died.

Results: The mean PDW for survivors was 16.77 (±0.92) and for those who died it was 17.33 (±1.03) (p 0.0015). Mean platelet count (PC) for survivors was 3,46,000 (±1,64,700) and for those who died it was 1,75,800 (±1,61,500) (p < 0.001). PDW/PC for survivors was 0.12 (±0.46) and for those who died it was 0.336 (±0.53) (p 0.0014). Using the cut-off of 0.07 for PDW/PC described by Golwala et al., 77.14% above the cut-off died, compared to 22.85% below that cut-off. The odds ratio (OR) for death was 10.6 (95% CI: 4.48 to 25.12). The area under the receiver operating curve (ROC) curve for PDW/PC ratio was 0.81.

Conclusions: The ratio of PDW/PC, higher than 0.07 in the first sample after admission can be considered as an independent predictor of mortality with sensitivity and specificity of 77.1% and 77.5%, respectively. It may be a useful component for inclusion in composite scores for predicting mortality.

Keywords: Critical care in pediatrics; Platelet indices; Predicting mortality in hospital.

MeSH terms

  • Child
  • Child, Preschool
  • Critical Illness / mortality
  • Humans
  • Infant
  • Intensive Care Units, Pediatric / statistics & numerical data
  • Male
  • Mean Platelet Volume*
  • Platelet Count*
  • Prognosis
  • Severity of Illness Index*