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全血细胞计数参数能否预测阻塞性睡眠呼吸暂停综合征的诊断和疾病严重程度?

Do complete blood count parameters predict diagnosis and disease severity in obstructive sleep apnea syndrome?

机构信息

Pulmonology Department, Ahi Evran Üniversity Medical Faculty, Kirsehir, Turkey.

出版信息

Eur Rev Med Pharmacol Sci. 2021 Jun;25(11):4027-4036. doi: 10.26355/eurrev_202106_26044.

Abstract

OBJECTIVE

Inflammation and platelet activation play a role in the pathogenesis of obstructive sleep apnea syndrome (OSAS). In this study, it was aimed to investigate the effectiveness of the systemic inflammation markers, the neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and WMR (white blood cell count (WBC) to mean platelet volume (MPV) ratio), in determining the severity of OSAS.

PATIENTS AND METHODS

The study included 207 patients who visited the pulmonology polyclinic between 1 and 31 January 2020 with complaints of snoring, apnea periods during sleep and sleepiness and were assessed with polysomnography (PSG) with the indication of hospitalization. The patients were grouped based on their apnea-hypopnea index (AHI) scores as 54 patients with AHI<5 as the control group, 41 patients with AHI=5-15 as the mild, 54 patients with AHI=15-30 as the moderate and 58 patients with AHI>30 as the severe OSAS groups. From the complete blood counts of the patients, NLR, PLR and WMR were calculated. The demographic characteristics of the patient and control groups were assessed by comparing PSG and blood parameters.

RESULTS

The mean age of the 207 patients included in the study was 54.56±10.24 years. Among the patients, 58.5% were male, and 41.5% were female. Between the control and OSAS groups, there were significant differences in terms of the WBC and lymphocyte counts (p=0.004 and p=0.035). In terms of the NLR and PLR values, there was no significant difference among the OSAS groups (p=0.723 and p=0.309). WMR had a significant difference in the OSAS groups (p=0.001). It was determined that WMR was valuable especially in distinguishing severe OSAS from the other groups.

CONCLUSIONS

In our study, where OSAS severity and complete blood count parameters assessed as inflammatory markers were examined, it was identified that the NLR and PLR levels were not very determinant in predicting either OSAS or its severity, and among these parameters, WMR was more significant, and it was determinant in distinguishing severe OSAS. Therefore, we believe it is needed to plan new studies without losing time over these markers in the diagnosis of OSAS, determination of its severity and its monitoring.

摘要

目的

炎症和血小板活化在阻塞性睡眠呼吸暂停综合征(OSAS)的发病机制中起作用。本研究旨在探讨全身炎症标志物中性粒细胞-淋巴细胞比值(NLR)、血小板-淋巴细胞比值(PLR)和 WMR(白细胞计数(WBC)与平均血小板体积(MPV)的比值)在确定 OSAS 严重程度中的作用。

患者和方法

本研究纳入了 207 名于 2020 年 1 月 1 日至 31 日期间因打鼾、睡眠期间呼吸暂停和嗜睡而就诊于呼吸内科门诊的患者,这些患者均进行了多导睡眠图(PSG)检查,且有住院指征。根据呼吸暂停低通气指数(AHI)评分将患者分为以下四组:54 例 AHI<5 的患者为对照组,41 例 AHI=5-15 的患者为轻度组,54 例 AHI=15-30 的患者为中度组,58 例 AHI>30 的患者为重度 OSAS 组。计算患者的 NLR、PLR 和 WMR 等炎症指标。比较 PSG 和血液参数,评估患者和对照组的人口统计学特征。

结果

本研究共纳入 207 名患者,平均年龄为 54.56±10.24 岁。其中 58.5%为男性,41.5%为女性。在对照组和 OSAS 组之间,白细胞和淋巴细胞计数存在显著差异(p=0.004 和 p=0.035)。在 NLR 和 PLR 值方面,OSAS 组之间无显著差异(p=0.723 和 p=0.309)。WMR 在 OSAS 组之间有显著差异(p=0.001)。研究确定 WMR 特别有助于区分重度 OSAS 与其他组。

结论

在本研究中,我们评估了 OSAS 严重程度和作为炎症标志物的全血细胞计数参数,结果表明 NLR 和 PLR 水平在预测 OSAS 或其严重程度方面并不是非常确定,在这些参数中,WMR 更为显著,且在区分重度 OSAS 方面具有决定性作用。因此,我们认为在诊断 OSAS、确定其严重程度及其监测方面,需要及时规划新的研究,而不是在这些标志物上浪费时间。

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