Role of sleep questionnaires in predicting obstructive sleep apnea amongst interstitial lung diseases patients

Abstract

Introduction: The co-existence of obstructive sleep apnea (OSA) and interstitial lung diseases (ILD) results in significant morbidity and mortality. So screening for OSA is important for its early diagnosis among ILD patients. The commonly used questionnaires for screening of OSA are Epworth sleep score (ESS) and STOP-BANG. However, the validity of these questionnaires among ILD patients is not well studied. The aim of this study was to assess the utility of these sleep questionnaires in detection of OSA among ILD patients.

Methods: It was a prospective observational study of one year in a tertiary chest centre in India. We enrolled 41 stable cases of ILD who were subjected to self-reported questionnaires (ESS, STOP-BANG, and Berlin questionnaire). The diagnosis of OSA was done by Level 1 polysomnography. The correlation analysis was done between the sleep questionnaires and AHI. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated for all the questionnaires. The cutoff values of STOPBANG and ESS questionnaire were calculated from the ROC analyses. P value of <0.05 was considered to be significant.

Results: OSA was diagnosed in 32 (78%) patients with mean AHI of 21.8 ± 17.6.The mean age was 54.8 ± 8.9 years with majority being female (78%) and mean body mass index (BMI) was 29.7 ± 6.4 kg/m². The mean ESS and STOPBANG score were 9.2 ± 5.4 and 4.3 ± 1.8, respectively, and 41% patients showed high risk for OSA with Berlin questionnaire. The sensitivity for detection of OSA was highest (96.1%) with ESS and lowest with Berlin questionnaire (40.6%). The receiver operating characteristics (ROC) area under curve for ESS was 0.929 with optimum cutoff point of 4, sensitivity of 96.9%, and specificity of 55.6%, while ROC area under curve for STOPBANG was 0.918 with optimum cutoff point of 3, sensitivity of 81.2% and specificity of 88.9%.The combination of two questionnaires showed sensitivity of >90%. The sensitivity also increased with the increasing severity of OSA. AHI showed positive correlation with ESS (r = 0.618, P < 0.001) and STOPBANG (r = 0.770, P < 0.001).

Conclusion: The ESS and STOPBANG showed high sensitivity with positive correlation for prediction of OSA in ILD patients. These questionnaires can be used to prioritize the patients for polysomnography (PSG) among ILD patients with suspicion of OSA.

Keywords: ESS and STOPBANG; ILD; OSA; questionnaires.

Figure 1

Details of patient screening, enrolment and OSA screening

Figure 2

(a) ESS questionnaire ROC area under curve of 0.929 with a sensitivity of 96.9% and a specificity of 55.6% on cut-off of 4. (b) STOPBANG questionnaire ROC area under curve of 0.918 with a sensitivity of 81.2% and a specificity of 88.9% on cut-off of 3. (c) Comparison of two sleep questionnaire showing statistically not significant with P value 0.346 on ROC curve

Figure 3

(a) Correlation of AHI with ESS sleep questionnaire showing positive correlation (r = 0.618, P < 0.001). (b) The correlation of AHI with STOPBANG sleep questionnaire showing positive correlation (r = 0.770, P < 0.001)