慢性代偿性心力衰竭的睡眠呼吸紊乱

IF 0.2 Q4 RESPIRATORY SYSTEM
Hala Samaha, Aya El-Hadidy, Ahmad Younis, Mohsen El-Shafe, Shreif Saker, A. Elsaid
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SDB is classified according to the central apnea–hypopnea index and obstructive apnea–hypopnea index and their proportions into total apnea and hypopnea index into: OSA, coexisting OSA-CSA (predominantly OSA or CSA), and CSA. Results Statistically significant higher Mallampati score in those with SDB versus those without SDB. STOP-BANG questionnaire was the most sensitive SDB prediction score followed by Berlin score and the least was ESS. Berlin score and ESS were more specific than the STOP-BANG score. Statistically significantly lower left ventricular EF was observed in SDB patients in comparison with patients without SDB. There was significantly higher NC in OSA patients versus coexisting OSA/CSA either predominantly OSA or CSA. Significant higher BMI and Mallampati score in OSA group in comparison to coexisting OSA/CSA predominantly CSA patients. Significant lower left ventricular EF was found in patients with coexisting OSA/CSA whether predominantly CSA or OSA versus LVEF in OSA patients. Significant association between SDB and HF types (OSA was significantly associated with HFpEF). Significant differences between OSA and coexisting OSA/CSA predominantly OSA as regards AF. Conclusions Despite optimized therapy, SDB was prevalent in chronic compensated HF patients (82.5%). Among all studied patients, 40% suffer from obstructive sleep apnea, while 42.5% suffer from coexisting OSA/CSA. SDB in HF patients was best predicted using the STOP-BANG questionnaire, while Berlin and ESS were most accurate. SDB in HF may be predicted by higher Mallampati scores and lower LVEF. OSA is more prevalent in chronic HF patients who have large BMIs, neck circumferences, and Mallampati scores. HFrEF and HFmrEF are the only two forms of HF that are associated with OSA/CSA. 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引用次数: 0

摘要

目的探讨不同类型慢性代偿性心力衰竭(HF)患者睡眠呼吸障碍(SDB)的发生频率和变化,评价Epworth嗜睡量表(ESS)的敏感性和特异性。采用STOP-BANG问卷对慢性代偿性心衰患者的SDB进行诊断,并建立射血分数(EF)与SDB类型的关系,以帮助识别高危人群。患者和方法入选53例成年慢性代偿性心衰患者,但只有40例患者接受了通宵多导睡眠检查,完成了研究并可用于最终分析。根据ESC, HF分为三类:HFpEF、HFmrEF和HFrEF。SDB根据中枢性呼吸暂停-低通气指数和阻塞性呼吸暂停-低通气指数进行分类,其在总呼吸暂停和低通气指数中的比例分为:OSA、OSA-CSA并存(以OSA或CSA为主)、CSA。结果SDB组Mallampati评分明显高于无SDB组。STOP-BANG问卷对SDB预测最敏感,其次是Berlin评分,ESS最不敏感。Berlin评分和ESS比STOP-BANG评分更具特异性。与非SDB患者相比,SDB患者的左室EF明显降低。与以OSA为主或CSA为主共存的OSA/CSA相比,OSA患者的NC明显更高。与以CSA患者为主的共存OSA/CSA患者相比,OSA组BMI和Mallampati评分显著升高。无论是以CSA为主,还是OSA患者与LVEF相比较,合并OSA/CSA的患者均存在显著的左下心室EF。SDB与HF类型显著相关(OSA与HFpEF显著相关)。在房颤方面,OSA与合并OSA/CSA(以OSA为主)存在显著差异。结论尽管优化了治疗方案,但慢性代偿性HF患者仍普遍存在SDB(82.5%)。在所有研究的患者中,40%患有阻塞性睡眠呼吸暂停,而42.5%患有共存的OSA/CSA。使用STOP-BANG问卷最能预测HF患者的SDB,而Berlin和ESS最准确。较高的Mallampati评分和较低的LVEF可以预测HF的SDB。OSA在bmi、颈围和Mallampati评分较大的慢性HF患者中更为普遍。HFrEF和HFmrEF是仅有的两种与OSA/CSA相关的HF。中枢性呼吸暂停和低通气事件通过较低的LVEF和AF来预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sleep-disordered breathing in chronic compensated heart failure
Objective Our study aimed to examine the frequency and variety of sleep-disordered breathing (SDB) in different types of chronic compensated heart failure (HF), evaluate the sensitivity and specificity of Epworth sleepiness scale (ESS), Berlin, and STOP-BANG Questionnaires in diagnosing SDB in patients with chronic compensated HF and to establish the relation between ejection fraction (EF) and type of SDB that may assist in identifying the population at riskPatients and methods Fifty-three chronic compensated HF adult patients were enrolled, but only 40 cases underwent full-night attended polysomnography and completed the study and were available for final analysis. HF is classified into three groups: HFpEF, HFmrEF, and HFrEF according to ESC. SDB is classified according to the central apnea–hypopnea index and obstructive apnea–hypopnea index and their proportions into total apnea and hypopnea index into: OSA, coexisting OSA-CSA (predominantly OSA or CSA), and CSA. Results Statistically significant higher Mallampati score in those with SDB versus those without SDB. STOP-BANG questionnaire was the most sensitive SDB prediction score followed by Berlin score and the least was ESS. Berlin score and ESS were more specific than the STOP-BANG score. Statistically significantly lower left ventricular EF was observed in SDB patients in comparison with patients without SDB. There was significantly higher NC in OSA patients versus coexisting OSA/CSA either predominantly OSA or CSA. Significant higher BMI and Mallampati score in OSA group in comparison to coexisting OSA/CSA predominantly CSA patients. Significant lower left ventricular EF was found in patients with coexisting OSA/CSA whether predominantly CSA or OSA versus LVEF in OSA patients. Significant association between SDB and HF types (OSA was significantly associated with HFpEF). Significant differences between OSA and coexisting OSA/CSA predominantly OSA as regards AF. Conclusions Despite optimized therapy, SDB was prevalent in chronic compensated HF patients (82.5%). Among all studied patients, 40% suffer from obstructive sleep apnea, while 42.5% suffer from coexisting OSA/CSA. SDB in HF patients was best predicted using the STOP-BANG questionnaire, while Berlin and ESS were most accurate. SDB in HF may be predicted by higher Mallampati scores and lower LVEF. OSA is more prevalent in chronic HF patients who have large BMIs, neck circumferences, and Mallampati scores. HFrEF and HFmrEF are the only two forms of HF that are associated with OSA/CSA. Central apnea and hypopnea events were predicted by lower LVEF and AF.
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来源期刊
自引率
0.00%
发文量
46
审稿时长
22 weeks
期刊介绍: The journal will cover technical and clinical studies related to health, ethical and social issues in field of The Egyptian Journal of Chest Diseases and Tuberculosis aims to publish and inform readers and all chest physicians of the progress in medical research concerning all aspect of chest diseases. Publications include original articles review articles, editorials, case studies and reports which are relevant to chest diseases. The Journal also aims to highlight recent updates in chest medicine. . Articles with clinical interest and implications will be given preference.
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