Dataset Information

Thoracoabdominal calcifications predict cardiovascular disease mortality in type 2 diabetic and nondiabetic subjects: 18-year follow-up study.

ABSTRACT: OBJECTIVE To evaluate cardiovascular disease (CVD) and total mortality associated with thoracoabdominal calcifications. RESEARCH DESIGN AND METHODS Thoracoabdominal calcifications of native radiograms were evaluated in 833 subjects with type 2 diabetes and 1,292 subjects without diabetes, aged 45-64 years, without prior evidence of CVD. The type 2 diabetic and nondiabetic study cohorts were followed up for 18 years. RESULTS After adjustment for conventional risk factors, marked thoracoabdominal calcifications predicted CVD/total mortality with hazard ratio (HR) (95% CI) of 1.5 (0.8-3.0)/1.8 (1.1-2.9) in type 2 diabetic men, 3.0 (1.6-5.7)/3.1 (1.9-5.0) in type 2 diabetic women, 5.0 (2.2-12)/4.0 (2.2-7.4) in nondiabetic men, and 7.8 (1.8-34)/3.0 (1.3-7.0) in nondiabetic women and in the presence of C-reactive protein below/over 3 mg/l with HR of 2.4 (1.3-4.4)/3.0 (1.4-6.1) in type 2 diabetic subjects and 4.0 (1.5-10.8)/6.6 (2.7-16.0) in nondiabetic subjects. CONCLUSIONS Thoracoabdominal calcifications in native radiograms are significant predictors of CVD and total mortality, especially in type 2 diabetic and nondiabetic women with elevated high-sensitivity C-reactive protein level.

SUBMITTER: Juutilainen A

PROVIDER: S-EPMC2827512 | biostudies-other | 2010 Mar

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

Thoracoabdominal calcifications predict cardiovascular disease mortality in type 2 diabetic and nondiabetic subjects: 18-year follow-up study.

Juutilainen Auni A Lehto Seppo S Suhonen Matti M Rönnemaa Tapani T Laakso Markku M

Diabetes care 20091215 3

OBJECTIVE To evaluate cardiovascular disease (CVD) and total mortality associated with thoracoabdominal calcifications. RESEARCH DESIGN AND METHODS Thoracoabdominal calcifications of native radiograms were evaluated in 833 subjects with type 2 diabetes and 1,292 subjects without diabetes, aged 45-64 years, without prior evidence of CVD. The type 2 diabetic and nondiabetic study cohorts were followed up for 18 years. RESULTS After adjustment for conventional risk factors, marked thoracoabdominal ...[more]

PMID: 20009092

Similar Datasets

Project description:BackgroundEpigenetic clocks are based on DNA methylation (DNAm). It has been suggested that these clocks are useable markers of biological aging and premature mortality. Because genetic factors explain variations in both epigenetic aging and mortality, this association could also be explained by shared genetic factors. We investigated the influence of genetic and lifestyle factors (smoking, alcohol consumption, physical activity, chronic diseases, body mass index) and education on the association of accelerated epigenetic aging with mortality using a longitudinal twin design. Utilizing a publicly available online tool, we calculated the epigenetic age using two epigenetic clocks, Horvath DNAmAge and DNAm GrimAge, in 413 Finnish twin sisters, aged 63-76 years, at the beginning of the 18-year mortality follow-up. Epigenetic age acceleration was calculated as the residuals from a linear regression model of epigenetic age estimated on chronological age (AAHorvath, AAGrimAge, respectively). Cox proportional hazard models were conducted for individuals and twin pairs.ResultsThe results of the individual-based analyses showed an increased mortality hazard ratio (HR) of 1.31 (CI95: 1.13-1.53) per one standard deviation (SD) increase in AAGrimAge. The results indicated no significant associations of AAHorvath with mortality. Pairwise mortality analyses showed an HR of 1.50 (CI95: 1.02-2.20) per 1 SD increase in AAGrimAge. However, after adjusting for smoking, the HR attenuated substantially and was statistically non-significant (1.29; CI95: 0.84-1.99). Similarly, in multivariable adjusted models the HR (1.42-1.49) was non-significant. In AAHorvath, the non-significant HRs were lower among monozygotic pairs in comparison to dizygotic pairs, while in AAGrimAge there were no systematic differences by zygosity. Further, the pairwise analysis in quartiles showed that the increased within pair difference in AAGrimAge was associated with a higher all-cause mortality risk.ConclusionsIn conclusion, the findings suggest that DNAm GrimAge is a strong predictor of mortality independent of genetic influences. Smoking, which is known to alter DNAm levels and is built into the DNAm GrimAge algorithm, attenuated the association between epigenetic aging and mortality risk.

Dataset Information

Thoracoabdominal calcifications predict cardiovascular disease mortality in type 2 diabetic and nondiabetic subjects: 18-year follow-up study.

Publications

Thoracoabdominal calcifications predict cardiovascular disease mortality in type 2 diabetic and nondiabetic subjects: 18-year follow-up study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets