睡眠呼吸暂停综合征在慢性肾病和终末期肾病患者中的患病率:系统回顾和荟萃分析

NDT Plus Pub Date : 2023-11-14 DOI:10.1093/ckj/sfad179
Anna Pisano, Carmine Zoccali, Davide Bolignano, Graziella D'Arrigo, Francesca Mallamaci
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引用次数: 0

摘要

背景一些研究调查了慢性肾脏疾病(CKD)患者睡眠呼吸暂停(SA)的频率,报告了不同的患病率。我们的系统回顾和荟萃分析旨在确定SA在CKD和终末期肾病(ESKD)患者中的临床外显率。方法检索截至2023年6月5日的Ovid-MEDLINE和PubMed数据库,以确定通过不同诊断方法评估CKD和ESKD患者SA患病率的研究,这些诊断方法包括睡眠问卷或呼吸监测设备(如PSG、III型便携式监测仪或其他诊断工具)。使用随机效应模型对单个研究数据进行汇总。使用Chi2和Cochrane-I2检验来评估异质性的存在,并进行敏感性和/或亚组分析。结果一项来自32项单一研究数据的累积分析显示,慢性肾病人群中SA的患病率为57% (95% CI 42-71%),而ESKD患者中91项研究的汇总数据显示SA的患病率为49% (95% CI 47-52%)。使用仪器睡眠监测设备(包括经典PSG和III型便携式睡眠监测仪)的SA患病率在CKD和ESKD人群中分别为62% (95% CI 52-72)和56% (95% CI 42-69%)。睡眠问卷显示患病率为33% (95% CI 16-49%)和39% (95% CI 30-49%)。结论SA常见于非透析性CKD和ESKD患者。与睡眠相关的问卷低估了这一人群中SA的存在。这强调需要使用客观的诊断工具来识别肾脏疾病中的这种综合征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sleep apnea syndrome prevalence in chronic kidney disease and end stage kidney disease patients: a systematic review and meta-analysis
Abstract Background Several studies have examined the frequency of sleep apnea (SA) in patients with chronic kidney disease (CKD), reporting different prevalence rates. Our systematic review and meta-analysis aimed to define the clinical penetrance of SA in CKD and end-stage kidney disease (ESKD) patients. Methods Ovid-MEDLINE and PubMed databases were explored up to 5th June, 2023 to identify studies providing SA prevalence in CKD and ESKD patients assessed by different diagnostic methods, either sleep questionnaires or respiration monitoring equipment (such as PSG, type III portable monitors or other diagnostic tools). Single-study data were pooled using the random-effects model. The Chi2 and Cochrane-I2 tests were used to assess the presence of heterogeneity, that was explored performing sensitivity and/or subgroup analyses. Results A cumulative analysis from 32 single study data revealed a prevalence of SA of 57% (95% CI 42–71%) in the CKD population, whereas a prevalence of 49% (95% CI 47–52%) was found pooling data from 91 studies in ESKD individuals. The prevalence of SA using instrumental sleep monitoring devices, including classical PSG and type III portable sleep monitors, was 62% (95% CI 52–72) and 56% (95% CI 42–69%) in CKD and ESKD populations, respectively. Sleep questionnaires revealed a prevalence of 33% (95% CI 16–49%) and 39% (95% CI 30–49%). Conclusions SA is commonly seen in both non-dialysis CKD and ESKD patients. Sleep-related questionnaires underestimated the presence of SA in this population. This emphasises the need for using objective diagnostic tools to identify such a syndrome in kidney disease.
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