Literature DB >> 29896633

Screening for Cardiovascular Disease Risk With Resting or Exercise Electrocardiography: Evidence Report and Systematic Review for the US Preventive Services Task Force.

Daniel E Jonas1,2,3, Shivani Reddy1,4, Jennifer Cook Middleton1,3, Colleen Barclay1,3, Joshua Green1,4, Claire Baker1,3, Gary N Asher3,5.   

Abstract

Importance: Cardiovascular disease (CVD) is the leading cause of death in the United States. Objective: To review the evidence on screening asymptomatic adults for CVD risk using electrocardiography (ECG) to inform the US Preventive Services Task Force. Data Sources: MEDLINE, Cochrane Library, and trial registries through May 2017; references; experts; literature surveillance through April 4, 2018. Study Selection: English-language randomized clinical trials (RCTs); prospective cohort studies reporting reclassification, calibration, or discrimination that compared risk assessment using ECG plus traditional risk factors vs traditional risk factors alone. For harms, additional study designs were eligible. Studies of persons with symptoms or a CVD diagnosis were excluded. Data Extraction and Synthesis: Dual review of abstracts, full-text articles, and study quality; qualitative synthesis of findings. Main Outcomes and Measures: Mortality, cardiovascular events, reclassification, calibration, discrimination, and harms.
Results: Sixteen studies were included (N = 77 140). Two RCTs (n = 1151) found no significant improvement for screening with exercise ECG (vs no screening) in adults aged 50 to 75 years with diabetes for the primary cardiovascular composite outcomes (hazard ratios, 1.00 [95% CI, 0.59-1.71] and 0.85 [95% CI, 0.39-1.84] for each study). No RCTs evaluated screening with resting ECG. Evidence from 5 cohort studies (n = 9582) showed that adding exercise ECG to traditional risk factors such as age, sex, current smoking, diabetes, total cholesterol level, and high-density lipoprotein cholesterol level produced small improvements in discrimination (absolute improvements in area under the curve [AUC] or C statistics, 0.02-0.03, reported by 3 studies); whether calibration or appropriate risk classification improves is uncertain. Evidence from 9 cohort studies (n = 66 407) showed that adding resting ECG to traditional risk factors produced small improvements in discrimination (absolute improvement in AUC or C statistics, 0.001-0.05) and appropriate risk classification for prediction of multiple cardiovascular outcomes, although evidence was limited by imprecision, quality, considerable heterogeneity, and inconsistent use of risk thresholds used for clinical decision making. Total net reclassification improvements ranged from 3.6% (2.7% event; 0.6% nonevent) to 30% (17% event; 19% nonevent) for studies using the Framingham Risk Score or Pooled Cohort Equations base models. Evidence on potential harms (eg, from subsequent angiography or revascularization) in asymptomatic persons was limited. Conclusions and Relevance: RCTs of screening with exercise ECG found no improvement in health outcomes, despite focusing on higher-risk populations with diabetes. The addition of resting ECG to traditional risk factors accurately reclassified persons, but evidence for this finding had many limitations. The frequency of harms from screening is uncertain.

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Year:  2018        PMID: 29896633     DOI: 10.1001/jama.2018.6897

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  9 in total

1.  Automated Identification and Extraction of Exercise Treadmill Test Results.

Authors:  Chengyi Zheng; Benjamin C Sun; Yi-Lin Wu; Ming-Sum Lee; Ernest Shen; Rita F Redberg; Maros Ferencik; Shaw Natsui; Aniket A Kawatkar; Visanee V Musigdilok; Adam L Sharp
Journal:  J Am Heart Assoc       Date:  2020-02-21       Impact factor: 5.501

2.  Do sex differences in the prevalence of ECG abnormalities vary across ethnic groups living in the Netherlands? A cross-sectional analysis of the population-based HELIUS study.

Authors:  Renee Bolijn; C Cato Ter Haar; Ralf E Harskamp; Hanno L Tan; Jan A Kors; Pieter G Postema; Marieke B Snijder; Ron J G Peters; Anton E Kunst; Irene G M van Valkengoed
Journal:  BMJ Open       Date:  2020-09-03       Impact factor: 2.692

3.  Resting Heartbeat Complexity Predicts All-Cause and Cardiorespiratory Mortality in Middle- to Older-Aged Adults From the UK Biobank.

Authors:  Lei Gao; Arlen Gaba; Longchang Cui; Hui-Wen Yang; Richa Saxena; Frank A J L Scheer; Oluwaseun Akeju; Martin K Rutter; Men-Tzung Lo; Kun Hu; Peng Li
Journal:  J Am Heart Assoc       Date:  2021-01-19       Impact factor: 5.501

4.  Remote Analysis and Transmission System of Electrocardiogram in Prehospital Setting; a Diagnostic Accuracy Study.

Authors:  Elmira Almukhambetova; Murat Almukhambetov; Abdugani Musayev; Ainur Yeshmanova; Vildan Indershiyev; Zhadira Kalhodzhaeva
Journal:  Arch Acad Emerg Med       Date:  2022-01-01

5.  Negative Risk Markers for Cardiovascular Risk Evaluation in Chinese Adults.

Authors:  Lizhan Bie; Jingya Niu; Shujing Wu; Ruizhi Zheng; Min Xu; Jieli Lu; Tiange Wang; Zhiyun Zhao; Shuangyuan Wang; Hong Lin; Meng Dai; Di Zhang; Yuhong Chen; Yufang Bi; Weiqing Wang; Guang Ning; Mian Li; Yu Xu
Journal:  Front Cardiovasc Med       Date:  2022-03-15

6.  The Association and Predictive Ability of ECG Abnormalities with Cardiovascular Diseases: A Prospective Analysis.

Authors:  Jingya Niu; Chanjuan Deng; Ruizhi Zheng; Min Xu; Jieli Lu; Tiange Wang; Zhiyun Zhao; Yuhong Chen; Shuangyuan Wang; Meng Dai; Yu Xu; Weiqing Wang; Guang Ning; Yufang Bi; Mian Li
Journal:  Glob Heart       Date:  2020-09-01

7.  Electrocardiographic screening in primary care for cardiovascular disease risk and atrial fibrillation.

Authors:  Ralf E Harskamp
Journal:  Prim Health Care Res Dev       Date:  2019-06-25       Impact factor: 1.458

Review 8.  Effects of adult growth hormone deficiency and replacement therapy on the cardiometabolic risk profile.

Authors:  Balázs Ratku; Veronika Sebestyén; Annamária Erdei; Endre V Nagy; Zoltán Szabó; Sándor Somodi
Journal:  Pituitary       Date:  2022-02-01       Impact factor: 4.107

9.  Artificial Intelligence-Enhanced Smartwatch ECG for Heart Failure-Reduced Ejection Fraction Detection by Generating 12-Lead ECG.

Authors:  Joon-Myoung Kwon; Yong-Yeon Jo; Soo Youn Lee; Seonmi Kang; Seon-Yu Lim; Min Sung Lee; Kyung-Hee Kim
Journal:  Diagnostics (Basel)       Date:  2022-03-08
  9 in total

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