This guideline intends to detect Obstructive Sleep Apnea (OSA) with the calculation of a patient's STOP-BANG score and it's risk interpretation.
The STOP-Bang questionnaire is a scoring model consisting of eight easily administered questions starting with the acronym STOP-Bang and is scored based on Yes/No answers each yes sums up 1 point. A score of ≥3 has shown a high sensitivity for detecting OSA: 93% and 100% for moderate and severe OSA, respectively. (1)
-Patients undergoing preoperative evaluation. -Patients presenting to a clinic setting with symptoms associated with OSA like: daytime drowsiness, snoring, observed periods of nighttime apnea, noisy breathing, etc.
- Not well validated in the obstetrical population, a subgroup with increased risk of OSA. - If a patient has already been diagnosed with OSA or uses CPAP at night. - Not for central sleep apnea.
1. Chung, F., Subramanyam, R., Liao, P., Sasaki, E., Shapiro, C., & Sun, Y. (2012). High STOP-Bang score indicates a high probability of obstructive sleep apnoea. British journal of anaesthesia, 108(5), 768–775. https://doi.org/10.1093/bja/aes022 2.Nagappa, M., Liao, P., Wong, J., Auckley, D., Ramachandran, S. K., Memtsoudis, S., Mokhlesi, B., & Chung, F. (2015). Validation of the STOP-Bang Questionnaire as a Screening Tool for Obstructive Sleep Apnea among Different Populations: A Systematic Review and Meta-Analysis. PloS one, 10(12), e0143697. https://doi.org/10.1371/journal.pone.0143697 3.Doshi, V., Walia, R., Jones, K., Aston, C. E., & Awab, A. (2015). STOP-BANG questionnaire as a screening tool for diagnosis of obstructive sleep apnea by unattended portable monitoring sleep study. SpringerPlus, 4, 795. https://doi.org/10.1186/s40064-015-1588-0
openEHR-EHR-OBSERVATION.body_mass_index, openEHR-EHR-OBSERVATION.body_segment_circumference, openEHR-EHR-OBSERVATION.stop_bang_score_for_obstructive_sleep_apnea, openEHR-EHR-OBSERVATION.history_prior_medical_diagnosis, openEHR-EHR-EVALUATION.health_risk_stop_bang_score, openEHR-EHR-OBSERVATION.basic_demographic