Literature DB >> 27599985

Pre-Operative Ability of Clinical Scores to Predict Obstructive Sleep Apnea (OSA) Severity in Susceptible Surgical Patients.

E Deflandre1,2,3, S Degey4, J-F Brichant5, A-F Donneau6, R Frognier7, R Poirrier8, V Bonhomme9.   

Abstract

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-2, 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. This study compared the DES-OSA score to the three other ones with regard to their ability to detect OSA. Obese patients are particularly at risk of OSA.
METHODS: Following informed consent and institutional review board (IRB) approval, 1584 consecutive adults were. Should the STOP-Bang be indicative of increased risk of severe OSA, the patient was referred to complementary polysomnography (PSG). Eventual already existing recent PSG data were also collected. The abilities of the four scores to predict OSA severity were compared using sensitivity, specificity, Cohen's kappa coefficient (CKC), and area under ROC curve (AUROC) analysis.
RESULTS: PSG was performed in 150 patients. For detecting severe OSA, OSA50 had the highest sensitivity [value (95 % CI) 0.98 (0.90-1)]. STOP-Bang was significantly less sensitive than P-SAP and OSA50. In that respect, DES-OSA was significantly more specific than the three other ones [0.75 (0.65-0.83)]. The AUROC of DES-OSA was significantly the largest [0.9 (0.84-0.95)]. The highest CKC at detecting severe OSA was 0.62 (0.49-0.74) for DES-OSA. Similar results were obtained for moderate to severe OSA prediction.
CONCLUSIONS: DES-OSA, which is the only exclusively morphological score available, appears to surpass the three other scores in their ability to predict moderate to severe and severe OSA, at least in our setting and in our screened population. CLINICAL TRIAL REGISTRATION: ClinicalTrial.gov NCT02051829.

Entities:  

Keywords:  Mass screening; Obesity; Obstructive; Perioperative period; Postoperative complications; Sleep apnea

Mesh:

Year:  2017        PMID: 27599985     DOI: 10.1007/s11695-016-2352-4

Source DB:  PubMed          Journal:  Obes Surg        ISSN: 0960-8923            Impact factor:   4.129


  36 in total

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2.  A simplified model of screening questionnaire and home monitoring for obstructive sleep apnoea in primary care.

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3.  An application of hierarchical kappa-type statistics in the assessment of majority agreement among multiple observers.

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Review 4.  Considerations for patients with obstructive sleep apnea undergoing ambulatory surgery.

Authors:  Saravanan Ankichetty; Frances Chung
Journal:  Curr Opin Anaesthesiol       Date:  2011-12       Impact factor: 2.706

5.  A method of comparing the areas under receiver operating characteristic curves derived from the same cases.

Authors:  J A Hanley; B J McNeil
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6.  Morbidity in patients with or at high risk for obstructive sleep apnea after ambulatory laparoscopic gastric banding.

Authors:  Matt M Kurrek; Chris Cobourn; Ziggy Wojtasik; Alexander Kiss; Steven L Dain
Journal:  Obes Surg       Date:  2011-10       Impact factor: 4.129

7.  The relationship between craniofacial morphology and obstructive sleep apnea in whites and in African-Americans.

Authors:  B Cakirer; M G Hans; G Graham; J Aylor; P V Tishler; S Redline
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8.  STOP questionnaire: a tool to screen patients for obstructive sleep apnea.

Authors:  Frances Chung; Balaji Yegneswaran; Pu Liao; Sharon A Chung; Santhira Vairavanathan; Sazzadul Islam; Ali Khajehdehi; Colin M Shapiro
Journal:  Anesthesiology       Date:  2008-05       Impact factor: 7.892

9.  Critical evaluation of screening questionnaires for obstructive sleep apnea in patients undergoing coronary artery bypass grafting and abdominal surgery.

Authors:  Flavia S Nunes; Naury J Danzi-Soares; Pedro R Genta; Luciano F Drager; Luiz A M Cesar; Geraldo Lorenzi-Filho
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10.  Cerebrovascular consequences of obstructive sleep apnea.

Authors:  David J Durgan; Robert M Bryan
Journal:  J Am Heart Assoc       Date:  2012-08-24       Impact factor: 5.501

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1.  Diagnostic accuracy of screening questionnaires for obstructive sleep apnoea in adults in different clinical cohorts: a systematic review and meta-analysis.

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Journal:  Sleep Breath       Date:  2021-08-18       Impact factor: 2.655

2.  Are the Epworth Sleepiness Scale and Stop-Bang model effective at predicting the severity of obstructive sleep apnoea (OSA); in particular OSA requiring treatment?

Authors:  Binita Panchasara; Alan J Poots; Gary Davies
Journal:  Eur Arch Otorhinolaryngol       Date:  2017-08-30       Impact factor: 2.503

3.  Comparison of clinical scores in their ability to detect hypoxemic severe OSA patients.

Authors:  Eric Deflandre; Nicolas Piette; Vincent Bonhomme; Stephanie Degey; Laurent Cambron; Robert Poirrier; Jean-Francois Brichant; Jean Joris
Journal:  PLoS One       Date:  2018-05-07       Impact factor: 3.240

  3 in total

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