Dataset Information

Association of Multiorgan Computed Tomographic Phenomap With Adverse Cardiovascular Health Outcomes: The Framingham Heart Study.

ABSTRACT:

Importance

Increased ability to quantify anatomical phenotypes across multiple organs provides the opportunity to assess their cumulative ability to identify individuals at greatest susceptibility for adverse outcomes.

Objective

To apply unsupervised machine learning to define the distribution and prognostic importance of computed tomography-based multiorgan phenotypes associated with adverse health outcomes.

Design, setting, and participants

This asymptomatic community-based cohort study included 2924 Framingham Heart Study participants between July 2002 and April 2005 undergoing computed tomographic imaging of the chest and abdomen. Participants are from the offspring and third-generation cohorts.

Exposures

Eleven computed tomography-based measures of valvular/vascular calcification, adiposity, and muscle attenuation.

Main outcomes and measures

All-cause mortality and cardiovascular disease (myocardial infarction, stroke, or cardiovascular death).

Results

The median age of the participants was 50 years (interquartile range, 43-60 years), and 1422 (48.6%) were men. Principal component analysis identified 3 major anatomic axes: (1) global calcification (defined by aortic, thoracic, coronary, and valvular calcification); (2) adiposity (defined by pericardial, visceral, hepatic, and intrathoracic fat); and (3) muscle attenuation that explained 65.7% of the population variation. Principal components showed different evolution with age (continuous increase in global calcification, decrease in muscle attenuation, and U-shaped association with adiposity) but similar patterns in men and women. Using unsupervised clustering approaches in the offspring cohort (n?=?1150), we identified a cohort (n?=?232; 20.2%) with an unfavorable multiorgan phenotype across all 3 anatomic axes as compared with a favorable multiorgan phenotype. Membership in the unfavorable phenotypic cluster was associated with a greater prevalence of cardiovascular disease risk factors and with increased all-cause mortality (hazard ratio, 2.61; 95% CI, 1.74-3.92; P?Conclusions and relevanceThis proof-of-concept analysis demonstrates that unsupervised machine learning, in an asymptomatic community cohort, identifies an unfavorable multiorgan phenotype associated with adverse health outcomes, especially in elderly American adults. Future investigations in larger populations are required not only to validate the present results, but also to harness clinical, biochemical, imaging, and genetic markers to increase our understanding of healthy cardiovascular aging.

SUBMITTER: Shah RV

PROVIDER: S-EPMC5710362 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature

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Publications

Association of Multiorgan Computed Tomographic Phenomap With Adverse Cardiovascular Health Outcomes: The Framingham Heart Study.

Shah Ravi V RV Yeri Ashish S AS Murthy Venkatesh L VL Massaro Joe M JM D'Agostino Ralph R Freedman Jane E JE Long Michelle T MT Fox Caroline S CS Das Saumya S Benjamin Emelia J EJ Vasan Ramachandran S RS O'Donnell Christopher J CJ Hoffmann Udo U

JAMA cardiology 20171101 11

<h4>Importance</h4>Increased ability to quantify anatomical phenotypes across multiple organs provides the opportunity to assess their cumulative ability to identify individuals at greatest susceptibility for adverse outcomes.<h4>Objective</h4>To apply unsupervised machine learning to define the distribution and prognostic importance of computed tomography-based multiorgan phenotypes associated with adverse health outcomes.<h4>Design, setting, and participants</h4>This asymptomatic community-bas ...[more]

PMID: 28975197

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Project description:BACKGROUND:Cardiovascular disease (CVD) and its most common manifestations--including coronary heart disease (CHD), stroke, heart failure (HF), and atrial fibrillation (AF)--are major causes of morbidity and mortality. In many industrialized countries, cardiovascular disease (CVD) claims more lives each year than any other disease. Heart disease and stroke are the first and third leading causes of death in the United States. Prior investigations have reported several single gene variants associated with CHD, stroke, HF, and AF. We report a community-based genome-wide association study of major CVD outcomes. METHODS:In 1345 Framingham Heart Study participants from the largest 310 pedigrees (54% women, mean age 33 years at entry), we analyzed associations of 70,987 qualifying SNPs (Affymetrix 100K GeneChip) to four major CVD outcomes: major atherosclerotic CVD (n = 142; myocardial infarction, stroke, CHD death), major CHD (n = 118; myocardial infarction, CHD death), AF (n = 151), and HF (n = 73). Participants free of the condition at entry were included in proportional hazards models. We analyzed model-based deviance residuals using generalized estimating equations to test associations between SNP genotypes and traits in additive genetic models restricted to autosomal SNPs with minor allele frequency > or =0.10, genotype call rate > or =0.80, and Hardy-Weinberg equilibrium p-value > or = 0.001. RESULTS:Six associations yielded p < 10(-5). The lowest p-values for each CVD trait were as follows: major CVD, rs499818, p = 6.6 x 10(-6); major CHD, rs2549513, p = 9.7 x 10(-6); AF, rs958546, p = 4.8 x 10(-6); HF: rs740363, p = 8.8 x 10(-6). Of note, we found associations of a 13 Kb region on chromosome 9p21 with major CVD (p 1.7-1.9 x 10(-5)) and major CHD (p 2.5-3.5 x 10(-4)) that confirm associations with CHD in two recently reported genome-wide association studies. Also, rs10501920 in CNTN5 was associated with AF (p = 9.4 x 10(-6)) and HF (p = 1.2 x 10(-4)). Complete results for these phenotypes can be found at the dbgap website http://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?id=phs000007 webcite. CONCLUSION:No association attained genome-wide significance, but several intriguing findings emerged. Notably, we replicated associations of chromosome 9p21 with major CVD. Additional studies are needed to validate these results. Finding genetic variants associated with CVD may point to novel disease pathways and identify potential targeted preventive therapies.

Project description:Background Data are limited on the association of mildly reduced estimated glomerular filtration rate (eGFR 60-89 mL/min per 1.73 m2) with cardiovascular disease (CVD) in the community. Methods and Results We evaluated 3066 Framingham Offspring Study participants (55% women, mean age 58 years), without clinical CVD. Using multivariable regression, we related categories of mildly reduced eGFR (80-89, 70-79, or 60-69 versus ≥90 mL/min per 1.73 m2 [referent]) to prevalent coronary artery calcium, carotid intima media thickness, and left ventricular hypertrophy, and to circulating concentrations of cardiac stress biomarkers. We related eGFR categories to CVD incidence and to progression to ≥Stage 3 chronic kidney disease (eGFR <60 mL/min per 1.73 m2) using Cox regression. Individuals with eGFR 60-69 mL/min per 1.73 m2 (n=320) had higher coronary artery calcium score (odds ratio 1.69; 95% CI 1.02-2.80) compared with the referent group. Individuals with eGFR 60-69 and 70-79 mL/min per 1.73 m2 had higher blood growth differentiating factor-15 concentrations (β=0.131 and 0.058 per unit-increase in log-biomarker, respectively). Participants with eGFR 60-69 and 80-89 mL/min per 1.73 m2 had higher blood B-type natriuretic peptide concentrations (β=0.119 and 0.116, respectively). On follow-up (median 16 years; 691 incident CVD and 252 chronic kidney disease events), individuals with eGFR 60-69 and 70-79 mL/min per 1.73 m2 experienced higher CVD incidence (hazard ratio [HR], 1.40; 95% CI, 1.02-1.93 and 1.45, 95% CI, 1.05-2.00, respectively, versus referent). Participants with eGFR 60-69 mL/min per 1.73 m2 experienced higher chronic kidney disease incidence (HR, 2.94; 95% CI, 1.80-4.78 versus referent). Conclusions Individuals with mildly reduced eGFR 60-69 mL/min per 1.73 m2 have a higher burden of subclinical atherosclerosis cross-sectionally, and a greater risk of CVD and chronic kidney disease progression prospectively. Additional studies are warranted to confirm our findings.

Dataset Information

Association of Multiorgan Computed Tomographic Phenomap With Adverse Cardiovascular Health Outcomes: The Framingham Heart Study.

Importance

Objective

Design, setting, and participants

Exposures

Main outcomes and measures

Results

Publications

Association of Multiorgan Computed Tomographic Phenomap With Adverse Cardiovascular Health Outcomes: The Framingham Heart Study.

Similar Datasets

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