Tingkat Akurasi Mean Platelet Volume sebagai Prediktor Mortalitas Dini pada Pasien Leukemia Akut

Abstract

Background: Acute leukemia is a type of blood cancer with a high mortality rate. Mean Platelet Volume (MPV) is a hematological parameter that reflects platelet activity and size. Studies evaluating the potential of MPV as a predictor of early mortality in acute leukemia patients are still limited. Methods: This study was an analytical observational study with a retrospective approach involving acute leukemia patients treated at H. Adam Malik General Hospital, Medan. Data were collected from medical records, including demographic, clinical, and laboratory data, particularly MPV values. ROC analysis was used to determine the optimal MPV cutoff value for predicting early mortality (≤30 days after diagnosis). Results: From the total patients analyzed, a significant MPV cutoff value was obtained in predicting early mortality. The Area Under the Curve (AUC) value indicated that MPV had good accuracy as a predictor. A significant association was found between high MPV and increased risk of early mortality. Conclusion: MPV has a reasonably good accuracy level in predicting early mortality in acute leukemia patients and may serve as a simple and cost-effective prognostic parameter in healthcare settings. Keywords: Mean Platelet Volume, acute leukemia, early mortality, predictor, accuracy.