Mean Platelet Volume Used as a Potential Negative Predictor in Patients with Heart Failure; Hypothesis Based on Statistical Modeling

Abstract

(1) Background: Heart failure (HF) remains one of the most frequent public health problems, with high mortality and hospitalization rates. Identifying an indicator with a prognostic role in patients with HF could represent a salutary solution in the future, as it could identify patients with a negative prognosis. Thus, our study focused on mean platelet volume (MPV) as a possible prognostic factor in patients with HF. (2) Methods: The research was a type of correlational study, which was conducted in a retrospective manner on 260 patients with chronic HF. The statistical analysis assessed whether there was a plausible relationship between the MPV value and several target variables based on a regression model analysis. (3) Results: Using logistic and linear regression models, we estimated the impact of the MPV value on certain events and the probabilities of these events depending on MPV value. The results obtained using regression model analysis were considered statistically significant (α = 0.05) based on a p-value below 0.05. The results showed that patients with class IV NYHA HF or acute pulmonary edema had higher MPV than class II NYHA HF, and that patients with higher MPV had a greater probability of having certain events, represented by 3-month hospitalization, 6-month rehospitalization, 1-year death, and prolonged hospitalization. (4) Conclusions: Using statistical modeling based on regression model analysis, our study showed that certain negative events in HF patients could be predicted based on the MPV value.

Keywords

• mean platelet volume
• heart failure
• rehospitalization
• mortality