Validation of a mathematical model for ultrasound assessment of gastric volume by gastroscopic examination
- PMID: 23302981
- DOI: 10.1213/ANE.0b013e318274fc19
Validation of a mathematical model for ultrasound assessment of gastric volume by gastroscopic examination
Abstract
Introduction: Pulmonary aspiration of gastric contents is a serious perioperative complication. Previous models of ultrasound gastric volume assessment are preliminary and have not been validated by an external "gold standard." In the present study we propose a more accurate model based on prospective data obtained from 108 patients undergoing bedside gastric sonography and upper gastrointestinal endoscopy (UGE).
Methods: Patients undergoing elective UGE were randomized to ingest one of 6 predetermined volumes of apple juice after an 8-hour fasting period. A cross-sectional area of the antrum in the right lateral decubitus position (Right lat CSA) was measured by a blinded sonographer following a standardized scanning protocol. Gastric fluid was subsequently suctioned under gastroscopic vision during UGE performed by a blinded gastroenterologist and measured to the nearest milliliter.
Results: Data from 108 patients suggest that a previously reported model tends to overestimate gastric volume particularly at low volume states. A new best fit mathematical model to predict gastric fluid volume based on measurements of Right lat CSA is presented. This new model built on a more accurate gold standard can be used to estimate gastric volumes from 0 to 500 mL, in nonpregnant adults with body mass index<40 kg/m2.
Conclusions: We report a new prediction model to assess gastric fluid volume using standard 2-dimentional bedside ultrasound that has several advantages over previously reported models.
Comment in
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Ultrasound assessment of gastric volume: what is the best threshold?Anesth Analg. 2013 Dec;117(6):1508-9. doi: 10.1213/ANE.0b013e3182a9666b. Anesth Analg. 2013. PMID: 24257405 No abstract available.
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In response.Anesth Analg. 2013 Dec;117(6):1509-10. doi: 10.1213/ANE.0b013e3182a96696. Anesth Analg. 2013. PMID: 24257406 No abstract available.
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