• Rebecca E Evans, Joshua Zimmerman, Sonia Shishido, Elise Heath, Amber Bledsoe, and Ken Johnson.
• Department of Anesthesiology, Dartmouth Hitchcock Medical Center, 1 Medical Center Dr., Lebanon, NH 03756, USA. Electronic address: Rebecca.E.Evans@hitchcock.org.
• J Clin Anesth. 2016 May 1; 30: 90-8.

Study ObjectiveThe aims of this study were to (1) explore the incidence of right-sided heart dysfunction (RHD) and STOP-Bang questionnaire responses consistent with obstructive sleep apnea (OSA) and (2) assess the relationship between patients with STOP-Bang questionnaire responses consistent with OSA and echocardiographic findings suggestive of RHD.DesignObservational study.SettingTertiary academic center preoperative clinic.PatientsTwo hundred patients presenting for elective surgery to the University of Utah preoperative clinic.InterventionAbbreviated transthoracic right-sided echocardiogram and STOP-Bang questionnaire.MeasurementsTricuspid annular plane systolic excursion, tissue Doppler-derived tricuspid lateral annular systolic velocity (S'), and the tricuspid inflow E wave to tricuspid annular tissue Doppler e' wave ratio (E/e') for the presence of RHD, as well as responses to STOP-Bang questionnaire.Main ResultsA total of 140 echocardiograms were analyzed after exclusion of participants with incomplete STOP-Bang questionnaires and inadequate images. Thirty-five patients (25%) reported 5 or more positive responses to the STOP-Bang questionnaire. Forty-six patients (35%) had abnormal right-sided heart measurements. Of the 35 patients with STOP-Bang scores 5 or greater, 11 (31%) had evidence of RHD. No correlation was observed between STOP-Bang scores and the echocardiography metrics of RHD.ConclusionsThis preliminary study suggests that there are numerous sources of RHD, among one of which is sleep apnea, and/or the STOP-Bang questionnaire is not a sensitive tool for predicting RHD. We conclude that although the STOP-Bang questionnaire is easy to implement in a preoperative clinical setting, it is not useful in identifying patients at risk for RHD.Copyright © 2015 Elsevier Inc. All rights reserved.

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