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Voice Signal Characteristics Are Independently Associated With Coronary Artery Disease

      Abstract

      Objective

      Voice signal analysis is an emerging noninvasive diagnostic tool. The current study tested the hypothesis that patient voice signal characteristics are associated with the presence of coronary artery disease (CAD).

      Methods

      The study population included 138 patients who were enrolled between January 1, 2015, and February 28, 2017: 37 control subjects and 101 subjects who underwent planned coronary angiogram. All subjects had their voice signal recorded to their smartphone 3 times: reading a text, describing a positive emotional experience, and describing a negative emotional experience. The Mel Frequency Cepstral Coefficients were used to extract prespecified voice features from all 3 recordings. Voice was recorded before the angiogram and analysis was blinded with respect to patient data.

      Results

      Final study cohort included 101 patients, of whom 71 (71%) had CAD. Compared with subjects without CAD, patients with CAD were older (median, 63 years; interquartile range [IQR], 55-68 years vs median, 53 years; IQR, 42-66 years; P=.003) and had a higher 10-year atherosclerotic cardiovascular disease (ASCVD) risk score (9.4%; IQR, 5.0-18.7 vs 2.7%; IQR, 1.6-11.8; P=.005). Univariate binary logistic regression analysis identified 5 voice features that were associated with CAD (P<.05 for all). Multivariate binary logistic regression with adjustment for ASCVD risk score identified 2 voice features that were independently associated with CAD (odds ratio [OR], 0.37; 95% CI, 0.18-0.79; and 4.01; 95% CI, 1.25-12.84; P=.009 and P=.02, respectively). Both features were more strongly associated with CAD when patients were asked to describe an emotionally significant experience.

      Conclusion

      This study suggests a potential relationship between voice characteristics and CAD, with clinical implications for telemedicine—when clinical health care is provided at a distance.

      Abbreviations and Acronyms:

      ACC (American College of Cardiology), AHA (American Heart Association), ASCVD (atherosclerotic cerebrovascular disease), CAD (coronary artery disease), IQR (interquartile range), MFCC (Mel Frequency Cepstral Coefficient)
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        Mayo Clinic ProceedingsVol. 93Issue 7
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          We want you to imagine what it was like for your parents or even grandparents 50 or 100 years ago when they needed a doctor. We picture our grandparents calling for a doctor on the “landline.” The doctor (if not already out on a house call) would drive to the house to see them in person, take a careful history, feel the pulse, listen for Korotkoff sounds, examine with a stethoscope, form a differential diagnosis, and cognitively try to deduce the most likely diagnosis. The physician would then rummage through his or her bag searching for medications that could help alleviate the symptoms and write a prescription to bring to the pharmacy.
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