Dataset Information

Adult Height, Prevalent Coronary Artery Calcium Score, and Incident Cardiovascular Disease Outcomes in a Multiethnic Cohort.

ABSTRACT: We assessed the relationships among adult height, coronary artery calcium (CAC) score, incident atherosclerotic cardiovascular disease (ASCVD) events, and atrial fibrillation (AFib) in a multiethnic cohort. We used race/ethnicity-specific height (dichotomized by median value and in quartiles) as the predictor variable within the 4 racial/ethnic groups in the Multi-Ethnic Study of Atherosclerosis (n = 6,814). After a mean of 10.2 years of follow-up (2000-2012), 556 ASCVD events (8.2%) and 539 AFib events (7.9%) occurred. Adult height was not associated with prevalent CAC score (ln(CAC + 1) or categories). Tall stature (i.e., race/ethnicity-specific height ?median) had a significant but opposite association with future ASCVD and AFib (hazard ratios were 0.72 (95% confidence interval: 0.56, 0.92) and 1.38 (95% confidence interval: 1.07, 1.79), respectively). We observed a gradient-response but opposite association between quartiles of race/ethnicity-specific height and ASCVD/AFib events in our multivariable models. A formal test of interaction between race/ethnicity-specific height and sex was not significant in the ASCVD model (P = 0.78) but was significant in the AFib model (P = 0.03). Tall stature was associated (in a gradient-response fashion) with reduced risk of ASCVD events and increased risk of AFib. Adult height may signal interactions between genetic and environmental factors and may provide risk information independent of current traditional risk factors and CAC score.

SUBMITTER: Yeboah J

PROVIDER: S-EPMC5860547 | biostudies-other | 2017 Oct

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

Adult Height, Prevalent Coronary Artery Calcium Score, and Incident Cardiovascular Disease Outcomes in a Multiethnic Cohort.

Yeboah Joseph J Blaha Michael J MJ Michos Erin D ED Qureshi Waqas W Miedema Michael M Flueckiger Peter P Rodriguez Carlos J CJ Szklo Moyses M Bertoni Alain G AG

American journal of epidemiology 20171001 8

We assessed the relationships among adult height, coronary artery calcium (CAC) score, incident atherosclerotic cardiovascular disease (ASCVD) events, and atrial fibrillation (AFib) in a multiethnic cohort. We used race/ethnicity-specific height (dichotomized by median value and in quartiles) as the predictor variable within the 4 racial/ethnic groups in the Multi-Ethnic Study of Atherosclerosis (n = 6,814). After a mean of 10.2 years of follow-up (2000-2012), 556 ASCVD events (8.2%) and 539 AFi ...[more]

PMID: 28535166

Similar Datasets

Project description:BackgroundPrecision estimation of cardiovascular risk remains the cornerstone of atherosclerotic cardiovascular disease (ASCVD) prevention. While coronary artery calcium (CAC) scoring is the best available non-invasive quantitative modality to evaluate risk of ASCVD, it excludes risk related to prior myocardial infarction, cardiomyopathy, and arrhythmia which are implicated in ASCVD. The high-dimensional and inter-correlated nature of ECG data makes it a good candidate for analysis using machine learning techniques and may provide additional prognostic information not captured by CAC. In this study, we aimed to develop a quantitative ECG risk score (eRiS) to predict major adverse cardiovascular events (MACE) alone, or when added to CAC. Further, we aimed to construct and validate a novel nomogram incorporating ECG, CAC and clinical factors for ASCVD.MethodsWe analyzed 5,864 patients with at least 1 cardiovascular risk factor who underwent CAC scoring and a standard ECG as part of the CLARIFY study (ClinicalTrials.gov Identifier: NCT04075162). Events were defined as myocardial infarction, coronary revascularization, stroke or death. A total of 649 ECG features, consisting of measurements such as amplitude and interval measurements from all deflections in the ECG waveform (53 per lead and 13 overall) were automatically extracted using a clinical software (GE Muse™ Cardiology Information System, GE Healthcare). The data was split into 4 training (Str) and internal validation (Sv) sets [Str (1): Sv (1): 50:50; Str (2): Sv (2): 60:40; Str (3): Sv (3): 70:30; Str (4): Sv (4): 80:20], and the results were compared across all the subsets. We used the ECG features derived from Str to develop eRiS. A least absolute shrinkage and selection operator-Cox (LASSO-Cox) regularization model was used for data dimension reduction, feature selection, and eRiS construction. A Cox-proportional hazards model was used to assess the benefit of using an eRiS alone (Mecg), CAC alone (Mcac) and a combination of eRiS and CAC (Mecg+cac) for MACE prediction. A nomogram (Mnom) was further constructed by integrating eRiS with CAC and demographics (age and sex). The primary endpoint of the study was the assessment of the performance of Mecg, Mcac, Mecg+cac and Mnom in predicting CV disease-free survival in ASCVD.FindingsOver a median follow-up of 14 months, 494 patients had MACE. The feature selection strategy preserved only about 18% of the features that were consistent across the various strata (Str). The Mecg model, comprising of eRiS alone was found to be significantly associated with MACE and had good discrimination of MACE (C-Index: 0.7, p = <2e-16). eRiS could predict time-to MACE (C-Index: 0.6, p = <2e-16 across all Sv). The Mecg+cac model was associated with MACE (C-index: 0.71). Model comparison showed that Mecg+cac was superior to Mecg (p = 1.8e-10) or Mcac (p < 2.2e-16) alone. The Mnom, comprising of eRiS, CAC, age and sex was associated with MACE (C-index 0.71). eRiS had the most significant contribution, followed by CAC score and other clinical variables. Further, Mnom was able to identify unique patient risk-groups based on eRiS, CAC and clinical variables.ConclusionThe use of ECG features in conjunction with CAC may allow for improved prognostication and identification of populations at risk. Future directions will involve prospective validation of the risk score and the nomogram across diverse populations with a heterogeneity of treatment effects.

Dataset Information

Adult Height, Prevalent Coronary Artery Calcium Score, and Incident Cardiovascular Disease Outcomes in a Multiethnic Cohort.

Publications

Adult Height, Prevalent Coronary Artery Calcium Score, and Incident Cardiovascular Disease Outcomes in a Multiethnic Cohort.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets