Kristin Cheung1, Stacey L Ishman2, James R Benke3, Nancy Collop4, Lia Tron5, Nicole Moy1, Tracey L Stierer6. 1. Department of Anesthesia & Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA. 2. Division of Otolaryngology-Head & Neck Surgery, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA; Department of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA. Electronic address: drishman@yahoo.com. 3. Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA. 4. Emory Sleep Center, Emory University, Atlanta, GA, USA. 5. Department of Anesthesiology, Lankenau Hospital, Wynnewood, PA, USA. 6. Department of Anesthesia & Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Abstract
STUDY OBJECTIVES: Obstructive sleep apnea (OSA) has been historically underdiagnosed and may be associated with grave perioperative complications. The ASA and American Academy of Sleep Medicine recommend OSA screening prior to surgery; however, only a minority of patients are screened. The objective of this study was to determine the proficiency of anesthesiologists, otolaryngologists, and internists at predicting the presence of OSA by visual photographic analysis without the use of a computer program to assist, and determine if prediction accuracy varies by provider type. DESIGN: Prospective case series SETTING: Tertiary care hospital-based academic center PATIENTS: Fifty-six consecutive patients presenting to the sleep laboratory undergoing polysomnography had frontal and lateral photographs of the face and torso taken. INTERVENTIONS: Not applicable. MEASUREMENTS: Polysomnography outcomes and physician ratings. An obstructive apnea hypopnea index (oAHI) ≥15 was considered "positive." Twenty anesthesiologists, 10 otolaryngologists, and 11 internists viewed patient photographs and scored them as OSA "positive" or "negative" before and after being informed of patient comorbidities. MAIN RESULTS: Nineteen patients had an oAHI <15, 18 were ≥15 but <30, and 19 were ≥30. The mean oAHI was 28.7 ± 26.7 events/h (range, 0-125.7), and the mean body mass index was 34.1 ± 9.7 kg/m(2) (range, 17.4-63.7). Overall, providers predicted the correct answer with 61.8% accuracy without knowledge of comorbidities and 62.6% with knowledge (P < .0001). There was no difference between provider groups (P = .307). Prediction accuracy was unrelated to patient age (P = .067), gender (P = .306), or race (P = .087), but was related to body mass index (P = .0002). CONCLUSION: The ability to predict OSA based on visual inspection of frontal and lateral photographs is marginally superior to chance and did not differ by provider type. Knowledge of comorbidities did not improve prediction accuracy.
STUDY OBJECTIVES:Obstructive sleep apnea (OSA) has been historically underdiagnosed and may be associated with grave perioperative complications. The ASA and American Academy of Sleep Medicine recommend OSA screening prior to surgery; however, only a minority of patients are screened. The objective of this study was to determine the proficiency of anesthesiologists, otolaryngologists, and internists at predicting the presence of OSA by visual photographic analysis without the use of a computer program to assist, and determine if prediction accuracy varies by provider type. DESIGN: Prospective case series SETTING: Tertiary care hospital-based academic center PATIENTS: Fifty-six consecutive patients presenting to the sleep laboratory undergoing polysomnography had frontal and lateral photographs of the face and torso taken. INTERVENTIONS: Not applicable. MEASUREMENTS: Polysomnography outcomes and physician ratings. An obstructive apnea hypopnea index (oAHI) ≥15 was considered "positive." Twenty anesthesiologists, 10 otolaryngologists, and 11 internists viewed patient photographs and scored them as OSA "positive" or "negative" before and after being informed of patient comorbidities. MAIN RESULTS: Nineteen patients had an oAHI <15, 18 were ≥15 but <30, and 19 were ≥30. The mean oAHI was 28.7 ± 26.7 events/h (range, 0-125.7), and the mean body mass index was 34.1 ± 9.7 kg/m(2) (range, 17.4-63.7). Overall, providers predicted the correct answer with 61.8% accuracy without knowledge of comorbidities and 62.6% with knowledge (P < .0001). There was no difference between provider groups (P = .307). Prediction accuracy was unrelated to patient age (P = .067), gender (P = .306), or race (P = .087), but was related to body mass index (P = .0002). CONCLUSION: The ability to predict OSA based on visual inspection of frontal and lateral photographs is marginally superior to chance and did not differ by provider type. Knowledge of comorbidities did not improve prediction accuracy.
Authors: Nathalia Carolina Fernandes Fagundes; Terry Carlyle; Oyku Dalci; M Ali Darendeliler; Ida Kornerup; Paul W Major; Andrée Montpetit; Benjamin T Pliska; Stacey Quo; Giseon Heo; Carlos Flores Mir Journal: J Clin Sleep Med Date: 2022-01-01 Impact factor: 4.062