Bilecik Şeyh Edebali University, Faculty of Medicine.
Republic of Turkey Ministry of Health Siverek State Hospital.
Kardiologiia. 2024 Feb 29;64(2):67-72. doi: 10.18087/cardio.2024.2.n2322.
The MAPH score is a new score that combines mean platelet volume (MPV), hematocrit, and total protein, which are markers of whole blood viscosity (WBV). We aimed to investigate the relationship between the MAPH score and the coronary slow flow phenomenon (CSF).
A total of 201 patients were included in the study. 105 had CSF and 96 had normal coronary flow (NCF). Coronary flow was measured by the Thrombolysis in Myocardial Infarction frame count (TFC) method. The patients' MPV, age, hematocrit, and total protein were recorded. High (HSR) and low shear rates (LSR) were calculated, based on total protein and hematocrit values. Cut-off values for CSF were determined using the Youden's index, and the score was determined as 0 or 1 according to the cut-off values. The sum of these scores was the MAPH score.
The mean age of the patients included in the study was 51.1±7.9 (n=201, 54.2 % male). Hyperlipidemia, DM, and HT rates of both groups were similar, but the mean age of the CSF group was higher (p=0.773; p=0.549; p=0.848; p <0.001, respectively). Total protein, MPV, hematocrit, HSR and LSR were higher in the CSF group (p< 0.001, for all values). Comparative receiver operating characteristic (ROC) curve analysis showed that the performance of the MAPH score in predicting CSF is better than the performance of these parameters separately.
A new score, the MAPH score, may be used to identify the presence of CSF.
MAPH 评分是一种新的评分系统,它结合了平均血小板体积(MPV)、红细胞压积和总蛋白,这些都是全血粘度(WBV)的标志物。我们旨在研究 MAPH 评分与冠状动脉慢血流现象(CSF)之间的关系。
本研究共纳入 201 例患者。105 例患者存在 CSF,96 例患者存在正常冠状动脉血流(NCF)。通过心肌梗死溶栓帧数(TFC)法测量冠状动脉血流。记录患者的 MPV、年龄、红细胞压积和总蛋白。根据总蛋白和红细胞压积值计算高(HSR)和低剪切率(LSR)。使用 Youden 指数确定 CSF 的截断值,并根据截断值将评分确定为 0 或 1。这些评分的总和即为 MAPH 评分。
本研究纳入的患者平均年龄为 51.1±7.9(n=201,54.2%为男性)。两组的高脂血症、DM 和 HT 发生率相似,但 CSF 组的平均年龄更高(p=0.773;p=0.549;p=0.848;p <0.001)。CSF 组的总蛋白、MPV、红细胞压积、HSR 和 LSR 均较高(p<0.001)。比较受试者工作特征(ROC)曲线分析表明,MAPH 评分预测 CSF 的性能优于这些参数单独预测的性能。
一种新的评分系统,即 MAPH 评分,可用于识别 CSF 的存在。