Background: Obstructive sleep apnea (OSA) is a common and underdiagnosed entity that favors perioperative morbidity. Several anatomical characteristics predispose to OSA. We developed a new clinical score that would detect OSA based on the patient's morphologic characteristics only.
Methods: Patients (n = 149) scheduled for an overnight polysomnography were included. Their morphologic metrics were compared, and combinations of them were tested for their ability to predict at least mild, moderate-to-severe, or severe OSA, as defined by an apnea-hypopnea index (AHI) >5, >15, or >30 events/h. This ability was calculated using Cohen κ coefficient and prediction probability.
Results: The score with best prediction abilities (DES-OSA score) considered 5 variables: Mallampati score, distance between the thyroid and the chin, body mass index, neck circumference, and sex. Those variables were weighted by 1, 2, or 3 points. DES-OSA score >5, 6, and 7 were associated with increased probability of an AHI >5, >15, or >30 events/h, respectively, and those thresholds had the best Cohen κ coefficient, sensitivities, and specificities. Receiver operating characteristic curve analysis revealed that the area under the curve was 0.832 (95% confidence interval [CI], 0.762-0.902), 0.805 (95% CI, 0.734-0.876), and 0.834 (95% CI, 0.757-0.911) for DES-OSA at predicting an AHI >5, >15, and >30 events/h, respectively. With the aforementioned thresholds, corresponding sensitivities (95% CI) were 82.7% (74.5-88.7), 77.1% (66.9-84.9), and 75% (61.0-85.1), and specificities (95% CI) were 72.4% (54.0-85.4), 73.2% (60.3-83.1), and 76.9% (67.2-84.4). Validation of DES-OSA performance in an independent sample yielded highly similar results.
Conclusions: DES-OSA is a simple score for detecting OSA patients. Its originality relies on its morphologic nature. Derived from a European population, it may prove useful in a preoperative setting, but it has still to be compared with other screening tools in a general surgical population and in other ethnic groups.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1213/ANE.0000000000001089 | DOI Listing |
Isr Med Assoc J
June 2023
Department of Pulmonology, Shamir Medical Center (Assaf Harofeh), Zerifin, Israel, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Anesth Analg
June 2021
Department of Perioperative Medicine, Cabinet Medical ASTES, Jambes, Belgium.
Background: Severe obstructive sleep apnea (sOSA) represents a risk factor of postoperative complications. Perioperative sleep apnea prediction (P-SAP) and DES-obstructive sleep apnea (DES-OSA) (DES being the acronym for 2 of the participating investigators and OSA for obstructive sleep apnea) scores were validated in the detection of such patients. They include the measurement of neck circumference (NC) and distance between thyroid and chin (DTC).
View Article and Find Full Text PDFPLoS One
August 2018
Department of Anesthesia, University of Liege, Liege, Belgium.
Background: Severe obstructive sleep apnea (sOSA) and preoperative hypoxemia are risk factors of postoperative complications. Patients exhibiting the combination of both factors are probably at higher perioperative risk. Four scores (STOP-Bang, P-SAP, OSA50, and DES-OSA) are currently used to detect OSA patients preoperatively.
View Article and Find Full Text PDFObes Surg
March 2017
University Department of Anesthesia and ICM, CHR Citadelle and CHU, Liege, Belgium.
Background: Severe obstructive sleep apnea (OSA) is an independent risk factor for perioperative complications. Clinical scores such as Snoring, Tiredness, Observed apnea, high blood Pressure, Body Mass Index (BMI) higher than 35 kg m, Age older than 50 years, Neck circumference larger than 40 cm, and male gender (STOP-Bang), perioperative sleep apnea prediction (P-SAP), and OSA50 have been proposed for detecting OSA. We recently proposed a new score based on morphological metrics only, the DES-OSA score.
View Article and Find Full Text PDFAnesth Analg
February 2016
From the *Department of Anesthesia, Clinique Saint-Luc and Cabinet Medical ASTES, Namur, Belgium; †Cabinet Medical ASTES, Namur, Belgium; ‡Department of Anesthesia and ICM, CHU Liege, Liege, Belgium; §Department of Neurology, CHU Liege, Liege, Belgium; and ‖Department of Anesthesia and ICM, CHR Citadelle and CHU Liege, Liege, Belgium.
Background: Obstructive sleep apnea (OSA) is a common and underdiagnosed entity that favors perioperative morbidity. Several anatomical characteristics predispose to OSA. We developed a new clinical score that would detect OSA based on the patient's morphologic characteristics only.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!