Unrecognized Cardiovascular Abnormalities Detected Through a Community Cardiovascular Screening Program

Author:

Bierig S. Michelle12ORCID,Arnold Anita2,Einbinder Lynne C.3,Armbrecht Eric4,Burroughs Thomas4

Affiliation:

1. Hillcrest, Tulsa, OK, USA

2. Lee Health, FL, USA

3. Toms River Cardiovascular Institute, Toms River, NJ, USA

4. Saint Louis University Center for Outcomes Research, Salus Center, Saint Louis, MO, USA

Abstract

Objective: Self-referral community cardiovascular screening programs (CCSPs) have a potential to reduce outcome events through early detection of disease. This study evaluated the characteristics of a population that could predict a positive test. Materials and Methods: Participants who completed a cardiovascular screening protocol were compared. The screening protocol included a blood pressure (BP), Doppler ankle brachial index (ABI) testing, a limited carotid sonogram, a limited aortic sonogram, electrocardiogram (ECG), and limited transthoracic echocardiogram (TTE). Results: Screenings were performed on 205 participants (58% female, 68 ± 9 years of age). Sixty-seven (34%) participants were abnormal in at least one of the following screening tests: ABI (2%), carotid sonogram (6%), aortic sonogram (3%), ECG (11%), and TTE (22%). Although 60.5% of the participants reported recent symptoms, there were no differences in normal or abnormal results of participants presenting with or without symptoms ( P = .06). Income was not a predictor of abnormal test results (odds ratio, 0.76; 95% confidence interval, 0.55–0.97; P = .19). Multivariate analysis demonstrated, when controlling for age greater than 75 years, that participants taking BP medication was the only variable that predicted a positive test result. Conclusion: One-third of patient results were abnormal, regardless of symptoms or lack thereof, suggestive of subclinical disease. Further large-scale studies would demonstrate the role of CCSPs in risk stratifying participants.

Publisher

SAGE Publications

Subject

Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

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