Assessing the Role of MAPH Score in Predicting Acute Coronary Syndrome: A Cross-sectional Study

Abstract

Introduction: Incorporating the concepts of hyperviscosity, platelet hyperactivity, and age-related risk of Acute Coronary Syndrome (ACS), a new score has been put forward-the Mean platelet volume-Age-total Protein-Haematocrit (MAPH) score, which can determine the increased thrombotic tendency associated with ST-Segment Elevation Myocardial Infarction (STEMI). The MAPH score includes parameters such as Mean Platelet Volume (MPV), age, total protein, and haematocrit. Researchers have found that a high MAPH score is associated with a high thrombus burden in cases with STEMI and Non ST-Elevation Myocardial Infarction (NSTEMI). However, the association between MAPH score and ACS is undefined. Aim: To assess the role of MAPH score in predicting ACS. Materials and Methods: This cross-sectional study was conducted in the Department of Pathology, Srinivas Institute of Medical Sciences and Research Centre Mangalore, Karnataka, India for six months. The study included 100 clinically diagnosed cases of ACS and 100 healthy controls. The demographic data, MPV, total protein, and haematocrit values of all cases and controls were collected and tabulated, and statistical analysis was performed. Receiver Operating Characteristic (ROC) curve analysis was performed on each MAPH score parameter, and cutoff values for each parameter were obtained based on the Youden index. After calculating the MAPH score of cases and controls, multivariate logistic regression analysis was performed to evaluate the role of the MAPH score as an independent predictor of ACS. Results: A statistically significant increase in MPV (p-value =0.017) and total protein (p-value<0.001) was noted among the cases. The calculated cut-off values for MPV, age, total protein, and haematocrit were 8.4 fL, 54 years, 6.8 g/dL, and 49.1%, respectively. A statistically significant increase in the MAPH score was noted among the cases compared to the controls. Finally, multivariate logistic regression analysis identified the MAPH score as an independent predictor of ACS. Conclusion: This was the first study investigating the association between MAPH scores in patients with ACS. The MAPH score was identified as an independent predictor of ACS and can be used as a screening tool to predict and diagnose the condition in primary healthcare settings. This helps to ensure early coronary revascularisation and reduce Coronary Artery Disease (CAD)- related mortality and morbidity to a greater extent.