<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>13</volume><submitter>Sinsopa N</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>Obstructive sleep apnea (OSA) is a common clinical condition. Due to its high prevalence, the waiting list for polysomnography is often long. A screening tool is needed to identify individuals at high risk for OSA who should undergo polysomnography. The STOP-Bang questionnaire is a widely used screening tool; however, it may require modification for individuals with a body mass index (BMI) below 35 kg/m&lt;sup>2&lt;/sup>. This study aimed to evaluate whether the STOP-Bang questionnaire should be modified for patients with a BMI under 35 kg/m&lt;sup>2&lt;/sup>.&lt;h4>Methods&lt;/h4>This retrospective analytical study included adult patients suspected of having OSA who underwent polysomnography. Exclusion criteria included pregnancy and a BMI over 35 kg/m&lt;sup>2&lt;/sup> or meeting criteria for bariatric surgery. Patients were categorized into OSA and non-OSA groups. Logistic regression analysis was used to assess the predictive value of STOP-Bang factors for OSA.&lt;h4>Results&lt;/h4>A total of 188 patients were included, of whom 158 (84.04%) were diagnosed with OSA. Among the eight STOP-Bang criteria, only age was independently associated with OSA after adjustment for other variables (adjusted odds ratio: 1.04; 95% CI [1.02-1.08]). Optimal cut-off points for predicting OSA were identified as age ≥ 40 years (sensitivity: 84.18%), BMI ≥ 23 kg/m&lt;sup>2&lt;/sup> (sensitivity: 82.91%), and neck circumference ≥ 35 cm (sensitivity: 86.08%). A modified STOP-Bang score incorporating these cut-offs showed improved sensitivity at a score of 3: 93.0% for apnea-hypopnea index (AHI) ≥ 5 events/hr, 95.9% for AHI ≥ 15 events/hr, and 97.6% for AHI ≥ 30 events/hr. In comparison, the original STOP-Bang score of 3 had sensitivities of 50.0%, 53.6%, and 56.1% for AHI ≥ 5 events/hr, AHI ≥ 15 events/hr, and AHI > 30 events/hr, respectively.&lt;h4>Conclusions&lt;/h4>The STOP-Bang questionnaire may require modification for individuals with a BMI below 35 kg/m&lt;sup>2&lt;/sup> who are suspected of having OSA. Revised cut-off values for age, neck circumference, and BMI-40 years, 35 cm, and 23 kg/m&lt;sup>2&lt;/sup>, respectively-may enhance its diagnostic performance.</pubmed_abstract><journal>PeerJ</journal><pagination>e20310</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12617366</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Modified STOP-Bang questionnaire for detecting obstructive sleep apnea in individuals with a body mass index below 35 kg/m&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;.</pubmed_title><pmcid>PMC12617366</pmcid><pubmed_authors>Tripakornkusol V</pubmed_authors><pubmed_authors>Khamsai S</pubmed_authors><pubmed_authors>Sinsopa N</pubmed_authors><pubmed_authors>Sawanyawisuth K</pubmed_authors></additional><is_claimable>false</is_claimable><name>Modified STOP-Bang questionnaire for detecting obstructive sleep apnea in individuals with a body mass index below 35 kg/m&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;.</name><description>&lt;h4>Background&lt;/h4>Obstructive sleep apnea (OSA) is a common clinical condition. Due to its high prevalence, the waiting list for polysomnography is often long. A screening tool is needed to identify individuals at high risk for OSA who should undergo polysomnography. The STOP-Bang questionnaire is a widely used screening tool; however, it may require modification for individuals with a body mass index (BMI) below 35 kg/m&lt;sup>2&lt;/sup>. This study aimed to evaluate whether the STOP-Bang questionnaire should be modified for patients with a BMI under 35 kg/m&lt;sup>2&lt;/sup>.&lt;h4>Methods&lt;/h4>This retrospective analytical study included adult patients suspected of having OSA who underwent polysomnography. Exclusion criteria included pregnancy and a BMI over 35 kg/m&lt;sup>2&lt;/sup> or meeting criteria for bariatric surgery. Patients were categorized into OSA and non-OSA groups. Logistic regression analysis was used to assess the predictive value of STOP-Bang factors for OSA.&lt;h4>Results&lt;/h4>A total of 188 patients were included, of whom 158 (84.04%) were diagnosed with OSA. Among the eight STOP-Bang criteria, only age was independently associated with OSA after adjustment for other variables (adjusted odds ratio: 1.04; 95% CI [1.02-1.08]). Optimal cut-off points for predicting OSA were identified as age ≥ 40 years (sensitivity: 84.18%), BMI ≥ 23 kg/m&lt;sup>2&lt;/sup> (sensitivity: 82.91%), and neck circumference ≥ 35 cm (sensitivity: 86.08%). A modified STOP-Bang score incorporating these cut-offs showed improved sensitivity at a score of 3: 93.0% for apnea-hypopnea index (AHI) ≥ 5 events/hr, 95.9% for AHI ≥ 15 events/hr, and 97.6% for AHI ≥ 30 events/hr. In comparison, the original STOP-Bang score of 3 had sensitivities of 50.0%, 53.6%, and 56.1% for AHI ≥ 5 events/hr, AHI ≥ 15 events/hr, and AHI > 30 events/hr, respectively.&lt;h4>Conclusions&lt;/h4>The STOP-Bang questionnaire may require modification for individuals with a BMI below 35 kg/m&lt;sup>2&lt;/sup> who are suspected of having OSA. Revised cut-off values for age, neck circumference, and BMI-40 years, 35 cm, and 23 kg/m&lt;sup>2&lt;/sup>, respectively-may enhance its diagnostic performance.</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025</publication><modification>2026-05-18T03:15:10.506Z</modification><creation>2026-05-18T03:12:17.504Z</creation></dates><accession>S-EPMC12617366</accession><cross_references><pubmed>41244210</pubmed><doi>10.7717/peerj.20310</doi></cross_references></HashMap>