420 Evaluating the Rate of Referral for Obstructive Sleep Apnea in a Pre-Doctoral Dental Clinic Using the STOP-Bang Questionnaire

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A166-A166
Author(s):  
Nathan Guess ◽  
Henry Fischbach ◽  
Andy Ni ◽  
Allen Firestone

Abstract Introduction The STOP-Bang Questionnaire is a validated instrument to assess an individual’s risk for obstructive sleep apnea (OSA). The prevalence of OSA is estimated at 20% in the US with only 20% of those individuals properly diagnosed. Dentists are being asked to screen and refer patients at high risk for OSA for definitive diagnosis and treatment. The aim of this study was to determine whether patients in a dental school student clinic who were identified as high-risk for OSA, were referred for evaluation of OSA. Methods All new patients over the age of 18 admitted to The Ohio State University - College of Dentistry complete an “Adult Medical History Form”. Included in this study were 21,312 patients admitted between July 2017 and March 2020. Data were extracted from the history form to determine the STOP-Bang Score for all patients: age, sex, BMI, self-reported snoring-, stopped breathing/choking/gasping while sleeping-, high blood pressure-, neck size over 17” (males) or 16” (females)-, and tiredness. Each positive response is a point, for a maximum of 8 points possible. Additionally, any previous diagnosis of sleep apnea, and the patient’s history of referrals were extracted from the health record. According to clinic policy, if the patient did not have a previous diagnosis for OSA noted in the health history, and scored 5 or more on the STOP-Bang Questionnaire, they should receive a referral for an evaluation for OSA. Notes and referral forms were reviewed to determine if the appropriate referrals occurred for patients at high risk without a previous diagnosis. Results Of the 21,312 patients screened; 1098 (5.2%) screened high-risk for OSA, of which 398 had no previous diagnosis of OSA. Of these 398 patients, none (0%) had referrals for further evaluation for OSA. Conclusion The rate of appropriate referrals from a student dental clinic with an electronic health record was unacceptably low. Continued education and changes to the electronic health record are needed to ensure those at high-risk for OSA are appropriately referred and managed. Support (if any):

2020 ◽  
Vol 16 (2) ◽  
pp. 175-183 ◽  
Author(s):  
Brendan T. Keenan ◽  
H. Lester Kirchner ◽  
Olivia J. Veatch ◽  
Kenneth M. Borthwick ◽  
Vicki A. Davenport ◽  
...  

2018 ◽  
Vol 8 (6) ◽  
pp. 468-471 ◽  
Author(s):  
Martha A. Mulvey ◽  
Aravindhan Veerapandiyan ◽  
David A. Marks ◽  
Xue Ming

BackgroundPrior studies have reported that patients with epilepsy have a higher prevalence of obstructive sleep apnea (OSA) that contributes to poor seizure control. Detection and treatment of OSA can improve seizure control in some patients with epilepsy. In this study, we sought to develop, implement, and evaluate the effectiveness of an electronic health record (EHR) alert to screen for OSA in patients with epilepsy.MethodsA 3-month retrospective chart review was conducted of all patients with epilepsy >18 years of age who were evaluated in our epilepsy clinics prior to the intervention. An assessment for obstructive sleep apnea (AOSA) consisting of 12 recognized risk factors for OSA was subsequently developed and embedded in the EHR. The AOSA was utilized for a 3-month period. Patients identified with 2 or more risk factors were referred for polysomnography. A comparison was made to determine if there was a difference in the number of patients at risk for OSA detected and referred for polysomnography with and without an EHR alert to screen for OSA.ResultsThere was a significant increase in OSA patient recognition. Prior to the EHR alert, 25/346 (7.23%) patients with epilepsy were referred for a polysomnography. Postintervention, 405/414 patients were screened using an EHR alert for AOSA and 134/405 (33.1%) were referred for polysomnography (p < 0.001).ConclusionAn intervention with AOSA cued in the EHR demonstrated markedly improved identification of epilepsy patients at risk for OSA and referral for polysomnography.


2019 ◽  
Author(s):  
Xiaojun Zhan ◽  
Chandala Chitguppi ◽  
Ethan Berman ◽  
Gurston Nyquist ◽  
Tomas Garzon-Muvdi ◽  
...  

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A189-A190
Author(s):  
Miguel Meira e Cruz ◽  
Luana Seixas ◽  
Augusto Santos ◽  
João Garrido ◽  
Yuri Lopes ◽  
...  

Abstract Introduction Only few studies looked for a possible association of cardiovascular disorders (CVD), in comorbid insomnia with obstructive sleep apnea (COMISA) even though this is a relevant topic in order to prevent one of the major causes of morbimortality. The present study aimed to investigate the association of insomnia symptoms in patients at risk for obstructive sleep apnea in terms of prevalence and clinical interactions and to evaluate the risk of CVD in patients with a risk for COMISA. Methods This is a cross-sectional study. All medical records with data such as age, sex, height, weight and BMI, time to sleep, time to wake up, total sleep time, the Epworth Sleepiness Scale (ESS), STOP-BANG Questionnaires were studied. Insomnia and comorbidities were also investigated, and the patientsanswered yes or no to systemic arterial hypertension, diabetes, CVD. Results 685 patients were enrolled on the present study. We observed that the mild, moderate, and high risk for COMISA presented progressively increasing levels for the frequency of hypertension, diabetes, and CVD. A binary logistic regression was performed to assess whether risk for COMISA could be a predictor for CVD, and it was found that the model containing risk for COMISA was statistically significant: [x2(1)=5.273;p&lt;0.021, R2 Negelkerke=0.014]. Risk for COMISA presented itself as a significant predictor for CVD (OR=1.672; 95% CI=1.079–2.592). Conclusion There was an increased frequency of associated comorbidities such as CVD, systemic arterial hypertension, and diabetes, according to the mild, moderate, or high risk. These findings highlight the need for a cardiometabolic evaluation in patients with this comorbid condition which may impact prognosis and therapeutic success. Support (if any):


2011 ◽  
Vol 12 (4) ◽  
pp. P27
Author(s):  
R. Hamill-Ruth ◽  
A. Kipp ◽  
R. Rome ◽  
E. Gochenour

2017 ◽  
Vol 3 (1) ◽  
pp. 16-21
Author(s):  
Karina Woodling ◽  
Juan Fiorda-Diaz ◽  
Bradley A. Otto ◽  
Christie A. Barnes ◽  
Alberto A. Uribe ◽  
...  

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Bertrand Ebner ◽  
Diego Celli ◽  
Morgan Karetnick ◽  
Neal Olarte ◽  
Marina D Byer ◽  
...  

Background: Inherent characteristics of patients with Obstructive Sleep Apnea (OSA), such as age, obesity, diabetes and hypertension increase the risk for cardiovascular diseases including heart failure (HF). Herein, we sought to elucidate if there is an increased likelihood of having heart failure with preserved ejection fraction (HFpEF) as OSA severity increases. Furthermore, we correlated a validated H2FpEF score system in this cohort with clinical and imaging findings for HFpEF. Results: Out of 585 charts reviewed from patients diagnosed with OSA, a total of 108 patients with a concomitant transthoracic echocardiogram (TTE) and electrocardiogram performed were identified. The median age was 59 years old with 55.6% being males and Hispanic predominance 64.5%. The comorbidities found in our cohort involved hypertension (63.9%), diabetes mellitus (30.6%), coronary artery disease (15.7%), HF (13%), atrial fibrillation (8.3%), and stroke (7.4%). Mean BMI was 32.48 kg/m 2 and average neck size 16.02 inches. TTE findings demonstrated an average ejection fraction of 58±7% and mean pulmonary artery systolic pressure of 24±10 mmHg. OSA severity distribution is shown in Table 1. No significant association was found between grade of severity of OSA with clinical diagnosis of HF, nor with diastolic dysfunction by TTE. The average probability of HFpEF by validated score was 50%, and the distribution of the score was the same across severity of OSA (p=0.260). Pearson’s correlation showed a significant positive relationship between age, BMI and PASP, and H2FpEF score (p<0.01 for all), however, no relation was found when correlating with neck size, apnea-hypopnea index and mean oxygen saturation. Conclusion: Although patients with OSA might have a higher H2FpEF score due to inherent characteristics, the clinical diagnosis of HFpEF in our population was lower than expected by H2FpEF score, in which the degree of severity was not associated with a higher H2FpEF score.


Sign in / Sign up

Export Citation Format

Share Document