Mini Singh1, Ronald Gavidia2, Galit Levi Dunietz2, Elizabeth Washnock-Schmid3, Andrew R Romeo3, Shelley Hershner2, Ronald D Chervin2, Tiffany J Braley4. 1. Department of Neurology, Medical University of South Carolina, Charleston, SC, USA. 2. Division of Sleep Medicine, Department of Neurology, University of Michigan, Ann Arbor, MI, USA. 3. Division of Multiple Sclerosis and Clinical Neuroimmunology, Department of Neurology, University of Michigan, Ann Arbor, MI, USA/VA Ann Arbor Healthcare System, Ann Arbor, MI, USA. 4. Divisions of Multiple Sclerosis, Clinical Neuroimmunology and Sleep Medicine, Department of Neurology, University of Michigan, Ann Arbor, MI, USA/Division of Multiple Sclerosis and Clinical Neuroimmunology, Department of Neurology, University of Michigan, Ann Arbor, MI, USA/VA Ann Arbor Healthcare System, Ann Arbor, MI, USA.
Abstract
BACKGROUND: Improved screening for obstructive sleep apnea (OSA) could enhance multiple sclerosis (MS) clinical care; yet the utility of current screening tools for OSA have yet to be evaluated in persons with multiple sclerosis (PwMS). OBJECTIVES: The STOP-Bang Questionnnaire is an 8-item screening tool for OSA that is commonly used in non-MS samples. The aim of this study was to assess the validity of the STOP-Bang in PwMS. METHODS: STOP-Bang and polysomnography data were analyzed from n = 200 PwMS. Sensitivity, specificity, positive-, and negative-predictive value (PPV and NPV) were calculated, with receiving operating characteristic (ROC) curves, for each STOP-Bang threshold score, against polysomnography-confirmed OSA diagnosis at three apnea severity thresholds (mild, moderate, and severe). RESULTS: Nearly 70% had a STOP-Bang score of ⩾3% and 78% had OSA. The STOP-Bang at a threshold score of 3 provided sensitivities of 87% and 91% to detect moderate and severe OSA, respectively; and NPV of 84% and 95% to identify PwMS without moderate or severe OSA, respectively. Sensitivity to detect milder forms of OSA was 76%. The NPV to identify persons without milder forms of OSA was 40%. CONCLUSION: The STOP-Bang Questionnaire is an effective tool to screen for moderate and severe OSA in PwMS, but may be insufficient to exclude mild OSA.
BACKGROUND: Improved screening for obstructive sleep apnea (OSA) could enhance multiple sclerosis (MS) clinical care; yet the utility of current screening tools for OSA have yet to be evaluated in persons with multiple sclerosis (PwMS). OBJECTIVES: The STOP-Bang Questionnnaire is an 8-item screening tool for OSA that is commonly used in non-MS samples. The aim of this study was to assess the validity of the STOP-Bang in PwMS. METHODS: STOP-Bang and polysomnography data were analyzed from n = 200 PwMS. Sensitivity, specificity, positive-, and negative-predictive value (PPV and NPV) were calculated, with receiving operating characteristic (ROC) curves, for each STOP-Bang threshold score, against polysomnography-confirmed OSA diagnosis at three apnea severity thresholds (mild, moderate, and severe). RESULTS: Nearly 70% had a STOP-Bang score of ⩾3% and 78% had OSA. The STOP-Bang at a threshold score of 3 provided sensitivities of 87% and 91% to detect moderate and severe OSA, respectively; and NPV of 84% and 95% to identify PwMS without moderate or severe OSA, respectively. Sensitivity to detect milder forms of OSA was 76%. The NPV to identify persons without milder forms of OSA was 40%. CONCLUSION: The STOP-Bang Questionnaire is an effective tool to screen for moderate and severe OSA in PwMS, but may be insufficient to exclude mild OSA.
Authors: Susan Redline; Gayane Yenokyan; Daniel J Gottlieb; Eyal Shahar; George T O'Connor; Helaine E Resnick; Marie Diener-West; Mark H Sanders; Philip A Wolf; Estella M Geraghty; Tauqeer Ali; Michael Lebowitz; Naresh M Punjabi Journal: Am J Respir Crit Care Med Date: 2010-03-25 Impact factor: 21.405
Authors: Tiffany J Braley; Amanda K Huber; Benjamin M Segal; Neeraj Kaplish; Rachel Saban; Jesse M Washnock-Schmid; Ronald D Chervin Journal: Sleep Date: 2018-08-01 Impact factor: 5.849
Authors: Ana Jerković; Una Mikac; Meri Matijaca; Vana Košta; Ana Ćurković Katić; Krešimir Dolić; Igor Vujović; Joško Šoda; Zoran Đogaš; Sanda Pavelin; Maja Rogić Vidaković Journal: J Clin Med Date: 2022-04-05 Impact factor: 4.241