Dataset Information

Multi-modality biomarkers in the early prediction of ischaemic heart disease in middle-aged men during a 21-year follow-up.

ABSTRACT:

Background

Ischaemic heart disease (IHD) often develops after decades of preceding subclinical coronary atherosclerosis. Biomarkers are useful prognostic predictors of IHD, but their long-term predictive value in a general population has not been adequately studied.

Purpose

To investigate the early predictive value of multi-modality biomarkers in addition to clinical risk factors in incident IHD in a random male general population sample followed from 50 to 71 years of age.

Method

"The Study of Men Born in 1943" is a longitudinal cohort study during follow-up. All the men underwent a baseline examination in 1993, where a panel of biomarkers were analysed and incident IHD was registered during 21-year follow-ups.

Results

Of 739 participants, 97 men (13.1%) developed an IHD event. For time to first occurrence of IHD, univariable analyses showed that elevated levels of high sensitivity troponin T (hs-TNT), high sensitivity-C reactive protein (hs-CRP) and interleukin-6 (IL-6) were significant predictors of IHD. In addition, a high number of biomarkers with elevated levels (hs-TNT?>?10 ng/L, hs-CRP?>?1 mg/L, IL-6?>?8 ng/L and N-terminal pro b-type natriuretic peptide (NT-proBNP)?>?100 pg/mL) increased predictive ability. In univariable and multivariable analysis high-density lipoprotein-cholesterol (HDL-C) had the highest predictive ability. Hs-TNT provided better predictive ability than smoking, body mass index and glucose, and was an independent significant predictor when adjusted for HDL-C, total cholesterol and hypertension. Addition of biomarkers on top of clinical risk factors provided significantly better prediction as tested by likelihood ratio test (p?=?0.033), but did not significantly enhance the model's discriminative ability However, it appeared contributing to higher sensitivity in the late phase of follow-up.

Conclusion

In this random, middle-aged male population sample, the addition of biomarker hs-TNT was an independent significant predictor of IHD and significantly improved prediction, indicating the probability of a better prediction of long-term risk of IHD in a low-risk population.

Trial registration

The study is registered at Clinical Trials.gov Identifier number: NCT03138122.

SUBMITTER: Sakalaki M

PROVIDER: S-EPMC7851898 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Multi-modality biomarkers in the early prediction of ischaemic heart disease in middle-aged men during a 21-year follow-up.

Sakalaki Maria M Hansson Per-Olof PO Rosengren Annika A Thunström Erik E Pivodic Aldina A Fu Michael M

BMC cardiovascular disorders 20210202 1

<h4>Background</h4>Ischaemic heart disease (IHD) often develops after decades of preceding subclinical coronary atherosclerosis. Biomarkers are useful prognostic predictors of IHD, but their long-term predictive value in a general population has not been adequately studied.<h4>Purpose</h4>To investigate the early predictive value of multi-modality biomarkers in addition to clinical risk factors in incident IHD in a random male general population sample followed from 50 to 71 years of age.<h4>Met ...[more]

PMID: 33530933

Similar Datasets

Project description:Background: Identifying leading determinants for disease-free status may provide evidence for action priorities, which is imperative for public health with an expanding aged population worldwide. This study aimed to identify leading determinants, especially modifiable factors for disease-free status using machine learning methods. Methods: We included 52,036 participants aged 45-64 years from the 45 and Up Study who were free of 13 predefined chronic conditions at baseline (2006-2009). Disease-free status was defined as participants aging from 45-64 years at baseline to 55-75 years at the end of the follow-up (December 31, 2016) without developing any of the 13 chronic conditions. We used machine learning methods to evaluate the importance of 40 potential predictors and analyzed the association between the number of leading modifiable healthy factors and disease-free status. Results: Disease-free status was found in about half of both men and women during a mean 9-year follow-up. The five most common leading predictors were body mass index (6.4-9.5% of total variance), self-rated health (5.2-8.2%), self-rated quality of life (4.1-6.8%), red meat intake (4.5-6.5%), and chicken intake (4.5-5.9%) in both genders. Modifiable behavioral factors including body mass index, diets, smoking, alcohol consumption, and physical activity, contributed to 37.2-40.3% of total variance. Participants having six or more modifiable health factors were 1.63-8.76 times more likely to remain disease-free status and had 0.60-2.49 more disease-free years (out of 9-year follow-up) than those having two or fewer. Non-behavioral factors including low levels of education and income and high relative socioeconomic disadvantage, were leading risk factors for disease-free status. Conclusions: Body mass index, diets, smoking, alcohol consumption, and physical activity are key factors for disease-free status promotion. Individuals with low socioeconomic status are more in need of care.

Dataset Information

Multi-modality biomarkers in the early prediction of ischaemic heart disease in middle-aged men during a 21-year follow-up.

Background

Purpose

Method

Results

Conclusion

Trial registration

Publications

Multi-modality biomarkers in the early prediction of ischaemic heart disease in middle-aged men during a 21-year follow-up.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets