Correlation of cephalometric and anthropometric measures with obstructive sleep apnea severity

Borges, Paulo de Tarso Moura; Filho, Edson Santos Ferreira; Araújo, Telma Maria Evangelista de; Neto, José Machado Moita; Borges, Núbia; Neto, Baltasar Melo; Campelo, Viriato; Paschoal, Jorge Rizzato; Li, Li Min

doi:10.7162/s1809-977720130003000013

Cited by 23 publications

(20 citation statements)

References 43 publications

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“…Several recent studies showed correlations of AHI with BMI, neck, and waist circumference, which is consistent with our study [22, 23, 39, 40]. However, there are mixed reports on better correlates, with few studies showing neck circumference as better correlated with AHI [23, 24, 39, 40], and others showing waist circumference as a better correlate [22, 41], findings which are consistent with our study. In addition, there are a few studies where BMI values are better correlates of AHI than waist and neck circumferences [42, 43].…”

Section: Discussionsupporting

confidence: 92%

Correlations Between Waist and Neck Circumferences and Obstructive Sleep Apnea Characteristics

et al. 2018

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PURPOSE The body mass index (BMI), an estimate of body fat, provides a rather imprecise indication of risk for obstructive sleep apnea (OSA). We examined whether other measures, including waist and neck circumference, provide improved indicators of risk in treatment-naïve OSA subjects. METHODS We studied 59 OSA subjects [age, 48.8±10.0 years; BMI, 31.9±6.6 kg/m2; apnea-hypopnea-index (AHI), 38.5±23.0 events/hour; sleep efficiency index (SEI, n=52), 78.6±14.4%; lowest oxygen saturation (SaO2 nadir), 79.5±8.0%; systolic blood pressure (BP), 127.4±15.7 mmHg; diastolic BP, 80.1±9.1 mmHg; 43 male), and determined waist and neck circumferences (waist, 107.4±15.3 cm; neck, 41.8±4.7 cm), daytime sleepiness [Epworth sleepiness scale (ESS), 8.7±4.6], sleep quality [Pittsburgh sleep quality index (PSQI), 8.5±4.1], depression levels [Beck depression inventory II (BDI-II), 6.6±5.7), and anxiety levels [Beck anxiety inventory (BAI), 6.2±7.2]. We used partial correlation procedures (covariates, age and gender) to examine associations between BMI, waist, and neck circumferences vs. AHI, sleep, and neuropsychological variables. RESULTS BMI, waist, and neck circumferences were significantly correlated with SaO2 nadir (BMI; r=−0.423, p=0.001; waist; r=−0.457, p<0.001; neck; r=−0.263, p=0.048), AHI (BMI; r=0.349, p=0.008; waist; r=0.459, p<0.001; neck; r=0.276, p=0.038), and systolic BP (BMI; r=0.354, p=0.007; waist; r=0.321, p=0.015; neck; r=0.388, p=0.003). SEI was significantly correlated with waist circumference (r=0.28, p=0.049), but higher with BMI (r=0.291, p=0.04). CONCLUSIONS No other significant waist or neck correlations emerged. This study suggests that waist and neck measures correlate better than BMI with select disease severity (SaO2 nadir and AHI) in OSA subjects. The findings offer an easily-measured, ancillary means to assess OSA risk.

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Section: Discussionsupporting

confidence: 92%

Correlations Between Waist and Neck Circumferences and Obstructive Sleep Apnea Characteristics

et al. 2018

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“…Studies followed a cross-sectional, case-control and cohort design. Most of the articles were from Brazil (35) 52 – 57 , 60 , 61 , 63 – 65 , 70 , 71 , 73 – 86 , 88 , 91 – 93 , 95 – 97 , 99 while the others were from Chile (5) 58 , 68 , 87 , 89 , 94 , Mexico (4) 66 , 67 , 90 , 100 , Peru (3) 62 , 69 , 72 and Argentina (2) 59 , 98 . The most frequently studied patients were those with Obstructive Sleep Apnea - Hypopnea Syndrome (OSAHS) (22) 53 , 54 , 58 – 62 , 64 – 69 , 74 , 75 , 79 , 81 , 86 , 87 , 90 , 94 , 97 , 98 and obesity (13) 52 , 71 , 73 , 80 , 82 – 85 , 91 , 92 , 95 , 99 , 100 ; other diseases included HIV/AIDS, sleep disorders, bronchiectasis, depression, stroke, epilepsy, hepatic and cardiovascular pathologies.…”

Section: Resultsmentioning

confidence: 99%

Neck circumference in Latin America and the Caribbean: A systematic review and meta-analysis

López¹,

Landeo²,

Mercado³

et al. 2021

Wellcome Open Res

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Background: High neck circumference (NC) is associated with high burden diseases in Latin American and the Caribbean (LAC). NC complements established anthropometric measurements for early identification of cardio-metabolic and other illnesses. However, evidence about NC has not been systematically studied in LAC. We aimed to estimate the mean NC and the prevalence of high NC in LAC. Methods: We conducted a systematic review in MEDLINE, Embase, Global Health and LILACS. Search results were screened and studied by two reviewers independently. To assess risk of bias of individual studies, we used the Hoy et al. scale and the Newcastle-Ottawa scale. We conducted a random-effects meta-analysis. Results: In total, 182 abstracts were screened, 96 manuscripts were reviewed and 85 studies (n= 51,978) were summarized. From all the summarized studies, 14 were conducted in a sample of the general population, 23 were conducted with captive populations and 49 studies were conducted with patients. The pooled mean NC in the general population was 35.69 cm (95% IC: 34.85cm-36.53cm; I²: 99.6%). In our patient populations, the pooled mean NC in the obesity group was 42.56cm (95% CI 41.70cm-43.42cm; I²: 92.40%). Across all studied populations, there were several definitions of high NC; thus, prevalence estimates were not comparable. The prevalence of high NC ranged between 37.00% and 57.69% in the general population. The methodology to measure NC was not consistently reported. Conclusions: Mean NC in LAC appears to be in the range of estimates from other world regions. Inconsistent methods and definitions hamper cross-country comparisons and time trend analyses. There is a need for consistent and comparable definitions of NC so that it can be incorporated as a standard anthropometric indicator in surveys and epidemiological studies.

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“…The depositions of fat around neck, pharyngeal structure contribute to narrowing of airway and collapsibility of upper airway. [ 18 19 ] Patients in OSA group had statistically significant lower sternomental distance, thyromental distance, and higher Mallampati grade. These measurements are representative of a short neck, crowded upper airway, and larger tongue, which are indicators of difficult airway.…”

Section: Discussionmentioning

confidence: 99%

Assessment of perioperative difficult airway among undiagnosed obstructive sleep apnoea patients undergoing elective surgery: A prospective cohort study

2018

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Background and Aims:Obstructive sleep apnoea (OSA) is largely undiagnosed in surgical population. Airway-related complication account for 35% of anaesthesia-related deaths and OSA patients have higher occurrence of difficult intubation (DIT). The aim of the study is to estimate the occurrence and compare utility of OSA screening parameters in predicting difficult mask ventilation (DMV) and DIT in patients with undiagnosed OSA.Methods:A prospective observational study was conducted in a tertiary care centre in patients undergoing elective surgery. STOP-BANG questionnaire was administered preoperatively along with collection of demographic data and airway assessment. Population was divided in to OSA and non-OSA groups based on STOP-BANG score >3. Occurrence of DMV, laryngoscopy (DL), and DIT were compared between both groups using DMV score, Cormack–Lehane grading, and intubation difficulty scale score, respectively.Results:A total of 54 patients in OSA and 46 patients in non-OSA group were studied. A total of 49 cases of DMV, 14 cases of DIT, and 25 cases of DL were encountered. In the OSA group, there was 77.7% DMV, 22.2% DIT, and 33.3% DL. History of snoring had the highest sensitivity and negative predictive value while history of apnea, body mass index >35, sleep apnoea clinical score had the highest specificity in determining occurrence of difficult airway. Multivariate logistic regression analysis demonstrated STOP-BANG score as the single most important predictor of DMV (odds ratio 3.15, 95% confidence interval, 2.06–4.8).Conclusion:Positive screening test for OSA is associated with difficult airway management.

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Correlation of cephalometric and anthropometric measures with obstructive sleep apnea severity

Cited by 23 publications

References 43 publications

Correlations Between Waist and Neck Circumferences and Obstructive Sleep Apnea Characteristics

Correlations Between Waist and Neck Circumferences and Obstructive Sleep Apnea Characteristics

Neck circumference in Latin America and the Caribbean: A systematic review and meta-analysis

Assessment of perioperative difficult airway among undiagnosed obstructive sleep apnoea patients undergoing elective surgery: A prospective cohort study

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