Mean Platelet Volume (MPV), Platelet Distribution Width (PDW), Platelet Count and Plateletcrit (PCT) as predictors of in-hospital paediatric mortality: a case-control Study.

Background: Thrombocytopenia has been shown to predict mortality. We hypothesize that platelet indices may be more useful prognostic indicators. Our study subjects were children one month to 14 years old admitted to our hospital. Aim: To determine whether platelet count, plateletcrit (PCT), mean platelet volume (MPV) and platelet distribution width (PDW) and their ratios can predict mortality in hospitalised children. Methods: Children who died during hospital stay were the cases. Controls were age matched children admitted contemporaneously. The first blood sample after admission was used for analysis. Receiver operating characteristic (ROC) curve was used to identify the best threshold for measured variables and the ratios studied. Multiple regression analysis was done to identify independent predictors of mortality. Results: Forty cases and forty controls were studied. Platelet count, PCT and the ratios of MPV/Platelet count, MPV/PCT, PDW/Platelet count, PDW/PCT and MPV x PDW/Platelet count x PCT were significantly different among children who survived compared to those who died. On multiple regression analysis the ratio of MPV/PCT, PDW/Platelet count and MPV/ Platelet count were risk factors for mortality with an odds ratio of 4.31(95% CI, 1.69-10.99), 3.86 (95% CI, 1.53-9.75), 3.45 (95% CI, 1.38-8.64) respectively. In 67% of the patients who died MPV/PCT ratio was above 41.8 and PDW/Platelet count was above 3.86. In 65% of patients who died MPV/Platelet count was above 3.45. Conclusion: The MPV/PCT, PDW/Platelet count and MPV/Platelet count, in the first sample after admission in this case control study were predictors of mortality and could predict 65% to 67% of deaths accurately.

Predictors of maternal mortality among critically ill obstetric patients

Aim Evaluation of the predictors of maternal mortality among critically ill obstetric patients managed at the intensive care unit (ICU). Methods A case control study to evaluate the predictors of maternal mortality among critically ill obstetric patients managed at the intensive care unit (ICU) of the University of Ilorin Teaching Hospital, Ilorin, Nigeria from 1st January 2010 to 30th June 2013. Participants were critically ill obstetric patients who were admitted and managed at the ICU during the study period. Subjects were those who died while controls were age and parity matched survivors. Statistical analysis was with SPSS-20 to determine chi square, Cox-regression and odds ratio; p value < 0.05 was significant. Results The mean age of subjects and controls were 28.92 ± 5.09 versus 29.44 ± 5.74 (p = 0.736), the level of education was higher among controls (p = 0.048) while more subjects were of low social class (p = 0.321), did not have antenatal care (p = 0.131) and had partners with lower level of education (p = 0.156) compared to controls. The two leading indications for admission among subjects and controls were massive postpartum haemorrhage and severe preeclampsia or eclampsia. The mean duration of admission was higher among controls (3.32 ± 2.46 versus 3.00 ± 2.58; p = 0.656) while the mean cost of ICU care was higher among the subjects (p = 0.472). The statistical significant predictors of maternal deaths were the patient’s level of education, Glasgow Coma Scale (GCS) score, oxygen saturation, multiple organ failure at ICU admission and the need for mechanical ventilation or inotrophic drugs after admission. Conclusion The clinical state at ICU admission of the critically ill obstetric patients is the major outcome determinant. Therefore, early recognition of the need for ICU care, adequate pre-ICU admission supportive care and prompt transfer will improve the outcome.