ABSTRACT

Objective

An association between increased mean platelet volume (MPV) and cardiovascular events is well established. Recent studies suggest that a nondipper blood pressure pattern is closely related to increased MPV. Because little information has been revealed about the relationship between reverse dipper hypertension (RDHT) and MPV, we aimed to investigate this relation.

Methods

A total of 317 patients were retrospectively evaluated by analyzing the records of ambulatory blood pressure monitoring (ABPM). Patients were categorized into three groups according to their ABPM values as RDHT (n = 63), non-dipper hypertension (NDHT) (n = 95), and dipper hypertension (DHT) groups (n = 159). MPV and biochemical analyses were recorded from the hospital database.

Results

The largest MPV was found in patients with RDHT, followed by patients with NDHT and DHT group (9.1 ± 0.4 fl, 8.8 ± 0.6 fl, and 8.6 ± 0.5 fl, respectively, for all p < .05). MPV was positively correlated with mean 24-hour systolic blood pressure (SBP), mean 24-hour diastolic blood pressure (DBP), mean daytime SBP, mean nighttime SBP and mean nighttime DBP. In multivariate logistic regression analysis, MPV (OR 1.761, 95% CI 1.329 to 2.334, p = .001) and age (OR 1.065, 95% CI 1.019 to 1.113, p = .001) were found to be associated with RDHT. ROC curve analysis of MPV for prediction of RDHT showed that at the cutoff value of >9,1 fl with a sensitivity of 60% and specificity of 69%, respectively (AUC = 0.696 ± 0.035, 95% CI: 0.627–0.764). Our data show that the RDHT pattern is associated with increased MPV values in patients with essential hypertension.

中文翻译：

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原发性高血压患者平均血小板体积与反向下降血压模式的关系

摘要

客观的

增加的平均血小板体积 (MPV) 与心血管事件之间的关联已得到充分证实。最近的研究表明，非杓型血压模式与 MPV 增加密切相关。由于关于反向杓型高血压 (RDHT) 和 MPV 之间关系的信息很少，我们旨在调查这种关系。

方法

通过分析动态血压监测（ABPM）的记录，对总共317名患者进行了回顾性评估。根据他们的 ABPM 值将患者分为三组，即 RDHT (n = 63)、非杓型高血压 (NDHT) (n = 95) 和杓型高血压 (DHT) 组 (n = 159)。从医院数据库记录 MPV 和生化分析。

结果

在 RDHT 患者中发现最大 MPV，其次是 NDHT 和 DHT 组患者（分别为 9.1 ± 0.4 fl、8.8 ± 0.6 fl和 8.6 ± 0.5 fl，所有p < .05）。MPV与平均24小时收缩压（SBP）、平均24小时舒张压（DBP）、平均白天SBP、平均夜间SBP和平均夜间DBP呈正相关。在多变量逻辑回归分析中，MPV (OR 1.761, 95% CI 1.329 to 2.334, p = .001) 和年龄 (OR 1.065, 95% CI 1.019 to 1.113, p= .001) 被发现与 RDHT 相关。MPV 预测 RDHT 的 ROC 曲线分析显示，在 >9.1 fl 的临界值下，灵敏度分别为 60% 和特异性为 69%（AUC = 0.696 ± 0.035, 95% CI：0.627–0.764）。我们的数据表明，RDHT 模式与原发性高血压患者的 MPV 值增加有关。