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JCR 2016
جستجوی مقالات
دوشنبه 1 دی 1404
Archives of Anesthesiology and Critical Care
، جلد ۱۰، شماره ۳، صفحات ۲۶۰-۲۶۵
عنوان فارسی
چکیده فارسی مقاله
کلیدواژههای فارسی مقاله
عنوان انگلیسی
Hip to Neck Circumference Ratio as an Independent Predictor of Difficult Intubation in Obese Patients
چکیده انگلیسی مقاله
Background: Anaesthesiologists face difficult intubation (DI) more frequently in obese patients. Thus, we aimed to test if central obesity indices including hip circumference (HC), neck circumference (NC) or waist circumference (WC) can effectively predict DI and difficult mask ventilation (DMV) in them. Methods: HC, NC, WC, mask ventilation grade, intubation difficulty scale (IDS), history of snoring and obstructive sleep apnoea (OSA) were measured in 300 patients with BMI ≥ 30 kg/m2. Receiver operating characteristic curve (ROC) and multivariate, logistic regression were employed to identify predictors of DI (IDS ≥5) and DMV define as mask ventilation grade of 3 or 4. Results: DI and DMV were, respectively, detected in 14.7% and 12.7% of subjects. According to Multiple logistic regression analysis BMI (Odds ratio (OR):1.17, 95% confidence interval (CI): 1.08-1.28, p<0.001), NC (OR: 1.26, 95% CI: 1.04-1.52, p=0.01), HC (OR:1.06, 95% CI: 1.03-1.10) and HC/NC ratio (OR: 4.9, 95% CI: 1.64-14.92, p= 0.004) considered as independent predictors of DI. The same analysis recognized BMI (OR:1.13, 95% CI: 1.03-1.24, p=0.006), WC (OR: 1.06, 95% CI:1.01-1.11, p=0.01), and HC/BMI ratio (OR=0.18, 95% CI:0.06-0.53, p=0.002) as DMV predictors. Sensitivity of BMI >35.8 kg/m2, NC >39.9 centimetres (cm), HC>118cm and HC/NC ratio >2.9 were determined as 70.5%, 68.2%, and 69.3% respectively for prediction of DI. Sensitivity of BMI >36.6 kg/m2 and WC >118 cm for predicting DMV were identified as 71.0% and 73.6%. Conclusion: This study proposes to simultaneously consider the HC/NC ratio and WC as a predictor of difficult airway in the obese.
کلیدواژههای انگلیسی مقاله
نویسندگان مقاله
| Dorna Kheirabadi
Chronic Pain and Fatigue Research Center, Department of Anesthesiology, University of Michigan, Ann Arbor, Michigan, USA.
| Amir Shafa
Anesthesiology and Critical Care Research Center, Department of Anesthesiology and Critical Care, Isfahan University of Medical Sciences, Isfahan, Iran.
| Mohammadreza Rasouli
Department of Anesthesiology, Perioperative and Pain Medicine, Stanford School of Medicine, Stanford, California, USA.
| Azim Honarmand
Anesthesiology and Critical Care Research Center, Department of Anesthesiology and Critical Care, Isfahan University of Medical Sciences, Isfahan, Iran.
| Mohammadreza Safavi
Anesthesiology and Critical Care Research Center, Department of Anesthesiology and Critical Care, Isfahan University of Medical Sciences, Isfahan, Iran.
نشانی اینترنتی
https://aacc.tums.ac.ir/index.php/aacc/article/view/790
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