A simplified model of screening questionnaire and home monitoring for obstructive sleep apnoea in primary care

C L Chai-Coetzer, N A Antic, L S Rowland, P G Catcheside, A Esterman, R L Reed, H Williams, Sandra Dunn, R D McEvoy

    Research output: Contribution to journalArticleResearchpeer-review

    Abstract

    Background: To address the growing burden of disease and long waiting lists for sleep services, a simplified twostage model was developed and validated for identifying obstructive sleep apnoea (OSA) in primary care using a screening questionnaire followed by home sleep monitoring.

    Methods: 157 patients aged 25-70 years attending their primary care physician for any reason at six primary care clinics in rural and metropolitan regions of South Australia participated. The first 79 patients formed the development group and the next 78 patients the validation group. A screening questionnaire was developed from factors identified from sleep surveys, demographic and anthropometric data to be predictive of moderate to severe OSA. Receiver operating characteristic (ROC) curve analysis was used to validate the two-channel ApneaLink device against full polysomnography. The diagnostic accuracy of the overall two-stage model was then evaluated.

    Results: Snoring, waist circumference, witnessed apnoeas and age were predictive of OSA and incorporated into a screening questionnaire (ROC area under curve (AUC) 0.84, 95% CI 0.75 to 0.94, p<0.001). ApneaLink oximetry with a 3% dip rate was highly predictive of OSA (AUC 0.96, 95% CI 0.91 to 1.0, p<0.001). The two-stage diagnostic model showed a sensitivity of 0.97 (95% CI 0.81 to 1.00) and specificity of 0.87 (95% CI 0.74 to 0.95) in the development group, and a sensitivity of 0.88 (95% CI 0.60 to 0.98) and specificity of 0.82 (95% CI 0.70 to 0.90) in the validation group.

    Conclusion: A two-stage model of screening questionnaire followed by home oximetry can accurately identify patients with OSA in primary care and has the potential to expedite care for patients with this common sleep disorder.
    Original languageEnglish
    Pages (from-to)213-219
    Number of pages7
    JournalThorax
    Volume66
    Issue number3
    DOIs
    Publication statusPublished - 2011

    Fingerprint

    Obstructive Sleep Apnea
    Primary Health Care
    Oximetry
    Polysomnography
    ROC Curve
    Area Under Curve
    Sleep
    Snoring
    South Australia
    Waiting Lists
    Primary Care Physicians
    Waist Circumference
    Apnea
    Patient Care
    Demography
    Surveys and Questionnaires
    Equipment and Supplies

    Cite this

    Chai-Coetzer, C. L., Antic, N. A., Rowland, L. S., Catcheside, P. G., Esterman, A., Reed, R. L., ... McEvoy, R. D. (2011). A simplified model of screening questionnaire and home monitoring for obstructive sleep apnoea in primary care. Thorax, 66(3), 213-219. https://doi.org/10.1136/thx.2010.152801
    Chai-Coetzer, C L ; Antic, N A ; Rowland, L S ; Catcheside, P G ; Esterman, A ; Reed, R L ; Williams, H ; Dunn, Sandra ; McEvoy, R D. / A simplified model of screening questionnaire and home monitoring for obstructive sleep apnoea in primary care. In: Thorax. 2011 ; Vol. 66, No. 3. pp. 213-219.
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    abstract = "Background: To address the growing burden of disease and long waiting lists for sleep services, a simplified twostage model was developed and validated for identifying obstructive sleep apnoea (OSA) in primary care using a screening questionnaire followed by home sleep monitoring. Methods: 157 patients aged 25-70 years attending their primary care physician for any reason at six primary care clinics in rural and metropolitan regions of South Australia participated. The first 79 patients formed the development group and the next 78 patients the validation group. A screening questionnaire was developed from factors identified from sleep surveys, demographic and anthropometric data to be predictive of moderate to severe OSA. Receiver operating characteristic (ROC) curve analysis was used to validate the two-channel ApneaLink device against full polysomnography. The diagnostic accuracy of the overall two-stage model was then evaluated. Results: Snoring, waist circumference, witnessed apnoeas and age were predictive of OSA and incorporated into a screening questionnaire (ROC area under curve (AUC) 0.84, 95{\%} CI 0.75 to 0.94, p<0.001). ApneaLink oximetry with a 3{\%} dip rate was highly predictive of OSA (AUC 0.96, 95{\%} CI 0.91 to 1.0, p<0.001). The two-stage diagnostic model showed a sensitivity of 0.97 (95{\%} CI 0.81 to 1.00) and specificity of 0.87 (95{\%} CI 0.74 to 0.95) in the development group, and a sensitivity of 0.88 (95{\%} CI 0.60 to 0.98) and specificity of 0.82 (95{\%} CI 0.70 to 0.90) in the validation group. Conclusion: A two-stage model of screening questionnaire followed by home oximetry can accurately identify patients with OSA in primary care and has the potential to expedite care for patients with this common sleep disorder.",
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    author = "Chai-Coetzer, {C L} and Antic, {N A} and Rowland, {L S} and Catcheside, {P G} and A Esterman and Reed, {R L} and H Williams and Sandra Dunn and McEvoy, {R D}",
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    Chai-Coetzer, CL, Antic, NA, Rowland, LS, Catcheside, PG, Esterman, A, Reed, RL, Williams, H, Dunn, S & McEvoy, RD 2011, 'A simplified model of screening questionnaire and home monitoring for obstructive sleep apnoea in primary care', Thorax, vol. 66, no. 3, pp. 213-219. https://doi.org/10.1136/thx.2010.152801

    A simplified model of screening questionnaire and home monitoring for obstructive sleep apnoea in primary care. / Chai-Coetzer, C L; Antic, N A; Rowland, L S; Catcheside, P G; Esterman, A; Reed, R L; Williams, H; Dunn, Sandra; McEvoy, R D.

    In: Thorax, Vol. 66, No. 3, 2011, p. 213-219.

    Research output: Contribution to journalArticleResearchpeer-review

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    AU - Chai-Coetzer, C L

    AU - Antic, N A

    AU - Rowland, L S

    AU - Catcheside, P G

    AU - Esterman, A

    AU - Reed, R L

    AU - Williams, H

    AU - Dunn, Sandra

    AU - McEvoy, R D

    PY - 2011

    Y1 - 2011

    N2 - Background: To address the growing burden of disease and long waiting lists for sleep services, a simplified twostage model was developed and validated for identifying obstructive sleep apnoea (OSA) in primary care using a screening questionnaire followed by home sleep monitoring. Methods: 157 patients aged 25-70 years attending their primary care physician for any reason at six primary care clinics in rural and metropolitan regions of South Australia participated. The first 79 patients formed the development group and the next 78 patients the validation group. A screening questionnaire was developed from factors identified from sleep surveys, demographic and anthropometric data to be predictive of moderate to severe OSA. Receiver operating characteristic (ROC) curve analysis was used to validate the two-channel ApneaLink device against full polysomnography. The diagnostic accuracy of the overall two-stage model was then evaluated. Results: Snoring, waist circumference, witnessed apnoeas and age were predictive of OSA and incorporated into a screening questionnaire (ROC area under curve (AUC) 0.84, 95% CI 0.75 to 0.94, p<0.001). ApneaLink oximetry with a 3% dip rate was highly predictive of OSA (AUC 0.96, 95% CI 0.91 to 1.0, p<0.001). The two-stage diagnostic model showed a sensitivity of 0.97 (95% CI 0.81 to 1.00) and specificity of 0.87 (95% CI 0.74 to 0.95) in the development group, and a sensitivity of 0.88 (95% CI 0.60 to 0.98) and specificity of 0.82 (95% CI 0.70 to 0.90) in the validation group. Conclusion: A two-stage model of screening questionnaire followed by home oximetry can accurately identify patients with OSA in primary care and has the potential to expedite care for patients with this common sleep disorder.

    AB - Background: To address the growing burden of disease and long waiting lists for sleep services, a simplified twostage model was developed and validated for identifying obstructive sleep apnoea (OSA) in primary care using a screening questionnaire followed by home sleep monitoring. Methods: 157 patients aged 25-70 years attending their primary care physician for any reason at six primary care clinics in rural and metropolitan regions of South Australia participated. The first 79 patients formed the development group and the next 78 patients the validation group. A screening questionnaire was developed from factors identified from sleep surveys, demographic and anthropometric data to be predictive of moderate to severe OSA. Receiver operating characteristic (ROC) curve analysis was used to validate the two-channel ApneaLink device against full polysomnography. The diagnostic accuracy of the overall two-stage model was then evaluated. Results: Snoring, waist circumference, witnessed apnoeas and age were predictive of OSA and incorporated into a screening questionnaire (ROC area under curve (AUC) 0.84, 95% CI 0.75 to 0.94, p<0.001). ApneaLink oximetry with a 3% dip rate was highly predictive of OSA (AUC 0.96, 95% CI 0.91 to 1.0, p<0.001). The two-stage diagnostic model showed a sensitivity of 0.97 (95% CI 0.81 to 1.00) and specificity of 0.87 (95% CI 0.74 to 0.95) in the development group, and a sensitivity of 0.88 (95% CI 0.60 to 0.98) and specificity of 0.82 (95% CI 0.70 to 0.90) in the validation group. Conclusion: A two-stage model of screening questionnaire followed by home oximetry can accurately identify patients with OSA in primary care and has the potential to expedite care for patients with this common sleep disorder.

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    Chai-Coetzer CL, Antic NA, Rowland LS, Catcheside PG, Esterman A, Reed RL et al. A simplified model of screening questionnaire and home monitoring for obstructive sleep apnoea in primary care. Thorax. 2011;66(3):213-219. https://doi.org/10.1136/thx.2010.152801