The No-apnea score vs. the other five questionnaires in screening for obstructive sleep apnea-hypopnea syndrome in patients with cerebral infarction

Chen, Riken; Liu, Wang; Cheng, Junfen; Zheng, Zhenzhen; Ba, Manqing; Peng, Min; He, Qinglian; Yang, Huajing; Chen, Tao; Hong, Cheng

doi:10.21037/jtd.2019.09.75

Cited by 8 publications

(6 citation statements)

References 25 publications

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“…Nine studies met Open access the inclusion criteria and were included in the review. [28][29][30][31][32][33][34][35][36] The included studies encompassed 1894 patients and were conducted in six different countries: Australia, 31 Canada, 30 36 China, [33][34][35] Czech Republic, 29 Germany, 32 and Italy. 28 The demographics of the included studies are summarised in table 1.…”

Section: Resultsmentioning

confidence: 99%

“…39 40 Similarly, non-alcoholic fatty liver disease was included as it is highly associated with cardiovascular risk factors [41][42][43] in a bidirectional manner. 44 Among the population with cardiovascular risk factors, six 28-31 33 35 (n=1680), eight [29][30][31][32][33][34][35][36] (n=1844) and five studies 29-31 33 35 (n=1630) were included for meta-analysis at the AHI cut-offs of ≥5, ≥15, ≥30, respectively (figures 2 and 3, online supplemental figure S2).…”

Section: Resultsmentioning

confidence: 99%

“…All included studies were of prospective design, except one study which was retrospective. 35 Six studies 28–30 33 35 36 used AHI cut-off of ≥5, one 31 used Respiratory Event Index ≥5 and two 32 34 used AHI ≥15 to define OSA. The prevalence of OSA ranged from 38% to 96%.…”

Section: Resultsmentioning

confidence: 99%

“…All included studies used laboratory PSG or Home Sleep Apnoea Testing (HSAT) as a reference test to verify the accuracy of the STOP-Bang questionnaire, confirming internal validity (table 2). For validation purposes, four studies [33][34][35][36] (44%) used PSG, while five [28][29][30][31][32] (56%) used HSAT. Although PSG is the gold standard diagnostic modality, no significant differences were noted between studies that used PSG and HSAT with regard to OSA prevalence (table 2) Open access index and reference tests was done in four studies 30 31 33 36 (44%), while the results of the STOP-Bang questionnaire were interpreted independent of clinical information in three studies 30 31 33 (33%, online supplemental table S3).…”

Section: Methodological Quality Of the Included Studiesmentioning

confidence: 99%

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Validation of the STOP-Bang questionnaire as a screening tool for obstructive sleep apnoea in patients with cardiovascular risk factors: a systematic review and meta-analysis

et al. 2021

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IntroductionObstructive sleep apnoea (OSA) is highly prevalent in patients with cardiovascular risk factors and is associated with increased morbidity and mortality. This review presents the predictive parameters of the STOP-Bang questionnaire as a screening tool for OSA in this population.MethodsA search of databases was performed. The inclusion criteria were: (1) use of the STOP-Bang questionnaire to screen for OSA in adults (>18 years) with cardiovascular risk factors; (2) polysomnography or home sleep apnoea testing performed as a reference standard; (3) OSA defined by either Apnoea–Hypopnoea Index (AHI) or Respiratory Disturbance Index; and (4) data on predictive parameters of the STOP-Bang questionnaire. A random-effects model was used to obtain pooled predictive parameters of the STOP-Bang questionnaire.ResultsThe literature search resulted in 3888 articles, of which 9 papers met the inclusion criteria, involving 1894 patients. The average age of the included patients was 58±13 years with body mass index (BMI) of 30±6 kg/m2, and 64% were male. The STOP-Bang questionnaire has a sensitivity of 89.1%, 90.7% and 93.9% to screen for all (AHI ≥5), moderate-to-severe (AHI ≥15) and severe (AHI≥30) OSA, respectively. The specificity was 32.3%, 22.5% and 18.3% and the area under the curve (AUC) was 0.86, 0.65 and 0.52 for all, moderate-to-severe and severe OSA, respectively.ConclusionThe STOP-Bang questionnaire is an effective tool to screen for OSA (AHI≥5) with AUC of 0.86 in patients with cardiovascular risk factors.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Methodological Quality Of the Included Studiesmentioning

confidence: 99%

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Validation of the STOP-Bang questionnaire as a screening tool for obstructive sleep apnoea in patients with cardiovascular risk factors: a systematic review and meta-analysis

et al. 2021

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“…that the NoSAS questionnaire could effectively help clinicians quickly address nocturnal hypoxia in patients with cerebral infarction [17]. Therefore, we aimed to verify whether people with higher scores were more likely to develop hypoxemia under sedation.…”

Section: Discussionmentioning

confidence: 99%

Predictive value of NoSAS questionnaire combined with the modified Mallampati grade for hypoxemia during routine sedation for gastrointestinal endoscopy

et al. 2023

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BACKGROUNDː To date, there is no recognized simple method to predict hypoxemia in digestive endoscopic anesthesia, and the utility of the NoSAS questionnaire, an objective and simple assessment scale, used to assess obstructive sleep apnea (OSA), combined with the modified Mallampati grade (MMP) in screening for hypoxemia during routine sedation for gastrointestinal endoscopy. METHODSː A total of 2207 patients admitted to our hospital for painless gastrointestinal endoscopy were studied. All patients were measured for age, height, weight, body mass index, neck circumference, snoring, MMP, and other parameters. Patients were divided into hypoxemia and non-hypoxemia groups based on intraoperative oxygen saturation of less than 95% for 10 s. The ROC curve was plotted to evaluate the screening value of the NoSAS questionnaire separately and combined with MMP for hypoxemia. The total NoSAS score was evaluated at cut-off points of 8 and 9. RESULTSː With a NoSAS score ≥ 8 as the critical value for analysis, the sensitivity for hypoxemia was 58.3%, the specificity was 88.4%, and the area under the ROC was 0.734 ( P < 0.001, 95%CI:0.708–0.759). With a NoSAS score ≥ 9 as a critical value, the sensitivity for hypoxemia was 36.50%, the specificity rose to 96.16%, and the area under the ROC was 0.663 ( P < 0.001, 95% CI:0.639–0.688). With the NoSAS Score combined with the MMP for analysis, the sensitivity was 78.4%, the specificity was 84%, the area under the ROC was 0.859 ( P < 0.001, 95% CI:0.834–0.883). CONCLUSIONSː As a new screening tool, the NoSAS questionnaire is simple, convenient, and has a certain screening value for hypoxemia. Combined with the modified Mallampati grade (MMP), it can obviously improve the screening sensitivity of hypoxemia and has a higher application value.

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A meta-analysis of the diagnostic value of NoSAS in patients with sleep apnea syndrome

et al. 2021

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The No-apnea score vs. the other five questionnaires in screening for obstructive sleep apnea-hypopnea syndrome in patients with cerebral infarction

Cited by 8 publications

References 25 publications

Validation of the STOP-Bang questionnaire as a screening tool for obstructive sleep apnoea in patients with cardiovascular risk factors: a systematic review and meta-analysis

Validation of the STOP-Bang questionnaire as a screening tool for obstructive sleep apnoea in patients with cardiovascular risk factors: a systematic review and meta-analysis

Predictive value of NoSAS questionnaire combined with the modified Mallampati grade for hypoxemia during routine sedation for gastrointestinal endoscopy

A meta-analysis of the diagnostic value of NoSAS in patients with sleep apnea syndrome

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