Predicting sleep disordered breathing in outpatients with suspected OSA.

Predicting sleep disordered breathing in outpatients with suspected OSA.
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DOI:
10.1136/bmjopen-2013-004519
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发表时间:
2014-04-15
期刊:
影响因子:
2.9
通讯作者:
Carlin C
Carlin C
中科院分区:
医学3区
文献类型:
--
作者:
Cowan DC;Allardice G;Macfarlane D;Ramsay D;Ambler H;Banham S;Livingston E;Carlin C

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验证柏林、STOP和STOP-BANG量表、其他患者特征、合并症、埃普沃思嗜睡量表(ESS)、呼气一氧化氮分数(FENO)和血液标志物在有限多导睡眠描记术中预测睡眠呼吸障碍(SDB)的效用。北格拉斯哥睡眠服务(三级转诊中心)。129例年龄≥16岁的连续患者被转诊至睡眠诊所,以评估可能的阻塞性睡眠呼吸暂停。 我们从他们的家庭多导睡眠图中选择呼吸暂停低通气指数(AHI)≥5和≥15/h的临界点,并确定这些与个体症状、问卷评分和其他结果的相关性。采用受试者操作特征分析、单因素和多因素Logistic回归分析进行探讨。主要目的:STOP、STOP-BANG和柏林曲线预测SDB的实用性。次要:其他指标对SDB预测的效用。AHI ≥5者97例,≥15者56例。STOP和STOP-BANG评分与两个AHI分界点相关,但ESS和柏林问卷评分结果为阴性。STOP-BANG对AHI ≥15的阴性预测值为1.00(0.77-1.00),评分≥3预测AHI ≥5的敏感性为0.93(95%CI 0.84 - 0.98),准确性为79%,而评分≥6预测AHI ≥15的特异性为0.78(0.65 - 0.88),准确性为72%。颈围≥17英寸和存在目击呼吸暂停是SDB的独立预测因素。 STOP和STOP-BANG曲线可用于预测睡眠诊所人群中的SDB。STOP-BANG问卷的修改值得在该患者组和其他患者组中进一步研究。
To validate the utilities of Berlin, STOP and STOP-BANG Questionnaires, other patient characteristics, comorbidities, Epworth Sleepiness Scale (ESS), fractional exhaled nitric oxide (FENO) and blood markers for the prediction of sleep disordered breathing (SDB) on limited polygraphy. North Glasgow Sleep Service (a tertiary referral centre). 129 consecutive patients, aged ≥16 years, referred to the sleep clinic for assessment of possible obstructive sleep apnoea. We selected cut-points of apnoea hypopnoea index (AHI) of ≥5 and ≥15/h from their home polygraphy and determined associations of these with individual symptoms, questionnaire scores and other results. Receiver operating characteristic analysis and univariate and multivariate logistic regression were used to explore these. Primary: The utility of STOP, STOP-BANG and Berlin Questionnaires for prediction of SDB. Secondary: The utility of other measures for prediction of SDB. AHI was ≥5 in 97 patients and ≥15 in 56 patients. STOP and STOP-BANG scores were associated with both AHI cut-points but results with ESS and Berlin Questionnaire scores were negative. STOP-BANG had a negative predictive value 1.00 (0.77–1.00) for an AHI ≥15 with a score ≥3 predicting AHI ≥5 with sensitivity 0.93 (95% CI 0.84 to 0.98) and accuracy 79%, while a score ≥6 predicted AHI ≥15 with specificity 0.78 (0.65 to 0.88) and accuracy 72%. Neck circumference ≥17 inch and presence of witnessed apnoeas were independent predictors of SDB. STOP and STOP-BANG Questionnaires have utility for the prediction of SDB in the sleep clinic population. Modification of the STOP-BANG Questionnaire merits further study in this and other patient groups.
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