Catană Andreea, Andrei Cătălina Liliana, Guberna Suzana, Ceban Octavian, Sinescu Crina Julieta
Department of Cardiology, University of Medicine and Pharmacy "Carol Davila", Emergency Hospital "Bagdasar-Arseni", 020021 Bucharest, Romania.
Economic Cybernetics and Informatics Department, The Bucharest University of Economic Studies, 010552 Bucharest, Romania.
Life (Basel). 2024 Feb 16;14(2):260. doi: 10.3390/life14020260.
(1) Background: Despite advancements in medical research and discoveries, heart failure (HF) still represents a significant and prevalent public health challenge. It is characterized by persistently high mortality and morbidity rates, along with increased rates of readmissions, particularly among the elderly population. (2) Methods: This study was conducted retrospectively on 260 patients with stable or decompensated chronic HF. The parameter of interest in the study population was the mean platelet volume (MPV), and the main objective of the research was to identify a possible relationship between MPV and several variables-biological (NT-proBNP, presepsin, red cell distribution width (RDW)), electrocardiographic (atrial fibrillation (AFib) rhythm, sinus rhythm (SR)), and echocardiographic (left ventricle ejection fraction (LVEF), left atrial (LA) diameter, left ventricle (LV) diameter, pulmonary hypertension (PH)). (3) Results: By applying logistic and linear regression models, we assessed whether there is a correlation between MPV and biological, electrocardiographic, and echocardiographic variables in patients with HF. The results revealed linear relationships between MPV and NT pro-BNP values and between MPV and RDW values, and an increased probability for the patients to have an AFib rhythm, reduced LVEF, dilated LA, dilated LV, and PH as their MPV value increases. The results were deemed statistically relevant based on a -value below 0.05. (4) Conclusions: Through regression model analyses, our research revealed that certain negative variables in HF patients such as increased levels of NT-proBNP, increased levels of RDW, AFib rhythm, reduced LVEF, dilated LA, dilated LV, and PH, could be predicted based on MPV values.
(1) 背景:尽管医学研究和发现不断进步,但心力衰竭(HF)仍然是一个重大且普遍的公共卫生挑战。其特点是死亡率和发病率持续居高不下,再入院率也不断上升,尤其是在老年人群中。(2) 方法:本研究对260例稳定型或失代偿型慢性HF患者进行了回顾性研究。研究人群中感兴趣的参数是平均血小板体积(MPV),该研究的主要目的是确定MPV与几个变量之间的可能关系——生物学变量(N末端B型利钠肽原(NT-proBNP)、降钙素原、红细胞分布宽度(RDW))、心电图变量(房颤(AFib)心律、窦性心律(SR))以及超声心动图变量(左心室射血分数(LVEF)、左心房(LA)直径、左心室(LV)直径、肺动脉高压(PH))。(3) 结果:通过应用逻辑回归和线性回归模型,我们评估了HF患者中MPV与生物学、心电图和超声心动图变量之间是否存在相关性。结果显示MPV与NT-proBNP值之间以及MPV与RDW值之间存在线性关系,并且随着MPV值的增加,患者出现AFib心律、LVEF降低、LA扩张、LV扩张和PH的概率增加。基于P值低于0.05,这些结果被认为具有统计学相关性。(4) 结论:通过回归模型分析,我们的研究表明,HF患者的某些负面变量,如NT-proBNP水平升高、RDW水平升高、AFib心律、LVEF降低、LA扩张、LV扩张和PH,可以根据MPV值进行预测。