Volume 34, Issue 4 e14416
RESEARCH ARTICLE

Performance of questionnaires to predict sleep-disordered breathing in acute stroke patients

Martijn Petrus Josephus Dekkers

Martijn Petrus Josephus Dekkers

Department of Neurology, Bern University Hospital (Inselspital) and University Bern, Bern, Switzerland

Contribution: Conceptualization, ​Investigation, Writing - original draft, Methodology, Visualization, Formal analysis, Data curation, Writing - review & editing

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Christian Michael Horvath

Corresponding Author

Christian Michael Horvath

Department of Pulmonary Medicine, Allergology and Clinical Immunology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland

Correspondence

Christian Michael Horvath, Universitätsklinik für Pneumologie, Allergologie und klinische Immunologie, Inselspital Bern, Universitätsspital Bern, Universität Bern, Freiburgstrasse 20, 3010 Bern, Switzerland.

Email: [email protected]

Contribution: Writing - original draft, Methodology, Writing - review & editing, Conceptualization

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Vanessa S. Woerz

Vanessa S. Woerz

Department of Neurology, Bern University Hospital (Inselspital) and University Bern, Bern, Switzerland

Contribution: ​Investigation, Writing - review & editing, Data curation

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Corrado Bernasconi

Corrado Bernasconi

Department of Neurology, Bern University Hospital (Inselspital) and University Bern, Bern, Switzerland

Interdisciplinary Sleep-Wake-Epilepsy-Center, Bern University Hospital (Inselspital) and University of Bern, Bern, Switzerland

Contribution: Writing - review & editing, Validation

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Simone B. Duss

Simone B. Duss

Department of Neurology, Bern University Hospital (Inselspital) and University Bern, Bern, Switzerland

Interdisciplinary Sleep-Wake-Epilepsy-Center, Bern University Hospital (Inselspital) and University of Bern, Bern, Switzerland

Contribution: ​Investigation, Writing - review & editing, Resources, Project administration

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Markus H. Schmidt

Markus H. Schmidt

Department of Neurology, Bern University Hospital (Inselspital) and University Bern, Bern, Switzerland

Interdisciplinary Sleep-Wake-Epilepsy-Center, Bern University Hospital (Inselspital) and University of Bern, Bern, Switzerland

Contribution: Writing - review & editing, Validation, Supervision, ​Investigation

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Mauro Manconi

Mauro Manconi

Neurocenter of Southern Switzerland, Ospedale Regionale di Lugano, Lugano, Switzerland

Contribution: Resources, Supervision, Writing - review & editing, ​Investigation

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Anne-Kathrin Brill

Anne-Kathrin Brill

Department of Pulmonary Medicine, Allergology and Clinical Immunology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland

Interdisciplinary Sleep-Wake-Epilepsy-Center, Bern University Hospital (Inselspital) and University of Bern, Bern, Switzerland

Contribution: Writing - review & editing, Validation, Methodology

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Claudio L. A. Bassetti

Claudio L. A. Bassetti

Department of Neurology, Bern University Hospital (Inselspital) and University Bern, Bern, Switzerland

Interdisciplinary Sleep-Wake-Epilepsy-Center, Bern University Hospital (Inselspital) and University of Bern, Bern, Switzerland

Department of Neurology, Sechenov First Moscow State Medical University, Moscow, Russia

Contribution: Resources, Supervision, Writing - review & editing, Funding acquisition, ​Investigation

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First published: 26 November 2024

Martijn Petrus Josephus Dekkers, Christian Michael Horvath, Anne-Kathrin Brill and Claudio L.A. Bassetti contributed equally to this study.

Summary

Sleep-disordered breathing is common in stroke and may negatively affect its outcome. Screening for sleep-disordered breathing in this setting is of interest but poorly studied. We aimed to evaluate the performance of eight obstructive sleep apnea screening questionnaires to predict sleep-disordered breathing in acute stroke or transient ischaemic attack patients, and to assess the impact of stroke/transient ischaemic attack-specific factors on sleep-disordered breathing prediction. We analysed acute stroke/transient ischaemic attack patients (N = 195) from a prospective cohort (“Sleep Deficiency and Stroke Outcome study”). Assessments included anthropometrics, stroke-specific parameters, sleep history, an in-hospital respiratory polygraphy within the first week after stroke, and obstructive sleep apnea screening questionnaires (Berlin Questionnaire, Epworth Sleepiness Scale, STOP-BANG, NoSAS, Sleep Apnea Clinical Score, No-Apnea, Sleep Obstructive apnea score optimized for Stroke, SLEEP-IN). In a binary classification task for respiratory event index ≥ 15 per hr, we evaluated the performance of the above-mentioned questionnaires. We used logistic regression to identify predictors for sleep-disordered breathing in this cohort. The areas under the curve for respiratory event index ≥ 15 per hr were: Berlin Questionnaire 0.60; STOP-BANG 0.72; NoSAS 0.69; No-Apnea 0.69; Sleep Apnea Clinical Score 0.75; Epworth Sleepiness Scale 0.50; Sleep Obstructive apnea score optimized for Stroke 0.58; and SLEEP-IN 0.67. The No-Apnea had the lowest false omission rate (0.13), a sensitivity of 0.97 and a specificity of 0.12. In multiple logistic regression analysis (respiratory event index ≥ 15 per hr), age, neck circumference, National Institutes of Health Stroke Scale at admission, prior stroke, cardioembolic stroke aetiology and observed apneas were associated with sleep-disordered breathing. The logistic regression model performed similar (area under the curve 0.80) to Sleep Apnea Clinical Score (p = 0.402) and STOP-BANG (p = 0.127), but outperformed the other questionnaires. Neither existing questionnaires nor our statistical model are sufficient to accurately diagnose sleep-disordered breathing after stroke, thus requiring sleep study evaluation. The No-Apnea questionnaire may help to identify patients amenable to sleep testing.

CONFLICT OF INTEREST STATEMENT

The authors report no conflict of interest.

DATA AVAILABILITY STATEMENT

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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