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Computational framework for dynamic cardiovascular risk assessment with cluster-specific Cox models and cumulative risk analysis

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Abstract
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This paper presents a novel computational framework for assessing cardiovascular disease (CVD) risk by integrating unsupervised clustering techniques with survival analysis. The proposed method enables dynamic and individualized risk prediction by organizing patient data into structured clusters based on shared cardiovascular risk factors. The framework begins with competitive learning, an unsupervised clustering method, to group patients into clusters that reflect distinct risk profiles. Each cluster is represented by its centroid, calculated as the mean of the 9-dimensional feature vectors of its members, ensuring that the clusters effectively summarize patient data while preserving critical risk characteristics. For each cluster, an independent Cox Proportional Hazards Model is applied to analyze survival data, capturing the unique relationships between cardiovascular risk factors and survival outcomes within that cluster. A key innovation of this study is the introduction of the Cumulative Prevalence Ratio (CPR), a new metric that aggregates hazard rates over time separately for each cluster. This approach provides a comprehensive view of cumulative cardiovascular risk, enabling precise categorization of the patient into risk groups based on cumulative exposure to evolving risk factors. By integrating cluster-specific hazard functions and temporal risk metrics, the proposed framework improves the precision and adaptability of CVD risk predictions, paving the way for personalized and data-driven healthcare interventions.

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Are We There Yet? Pediatric Screening for Inflammatory Biomarkers and Low Cardiorespiratory Fitness to Identify Youth at Increased Risk of Cardiovascular Disease
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  • Journal of Adolescent Health
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Are We There Yet? Pediatric Screening for Inflammatory Biomarkers and Low Cardiorespiratory Fitness to Identify Youth at Increased Risk of Cardiovascular Disease

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  • Cite Count Icon 6
  • 10.1016/j.atherosclerosis.2022.09.002
Impact of psychological status on cardiovascular diseases: Is it time for upgrading risk score charts?
  • Sep 13, 2022
  • Atherosclerosis
  • Pietro Scicchitano

Impact of psychological status on cardiovascular diseases: Is it time for upgrading risk score charts?

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  • Research Article
  • Cite Count Icon 8
  • 10.1111/dme.12316
Changes in diet, cardiovascular risk factors and modelled cardiovascular risk following diagnosis of diabetes: 1-year results from the ADDITION-Cambridge trial cohort
  • Oct 21, 2013
  • Diabetic Medicine
  • L A Savory + 6 more

AimsTo describe change in self-reported diet and plasma vitamin C, and to examine associations between change in diet and cardiovascular disease risk factors and modelled 10-year cardiovascular disease risk in the year following diagnosis of Type 2 diabetes.MethodsEight hundred and sixty-seven individuals with screen-detected diabetes underwent assessment of self-reported diet, plasma vitamin C, cardiovascular disease risk factors and modelled cardiovascular disease risk at baseline and 1 year (n = 736) in the ADDITION-Cambridge trial. Multivariable linear regression was used to quantify the association between change in diet and cardiovascular disease risk at 1 year, adjusting for change in physical activity and cardio-protective medication.ResultsParticipants reported significant reductions in energy, fat and sodium intake, and increases in fruit, vegetable and fibre intake over 1 year. The reduction in energy was equivalent to an average-sized chocolate bar; the increase in fruit was equal to one plum per day. There was a small increase in plasma vitamin C levels. Increases in fruit intake and plasma vitamin C were associated with small reductions in anthropometric and metabolic risk factors. Increased vegetable intake was associated with an increase in BMI and waist circumference. Reductions in fat, energy and sodium intake were associated with reduction in HbA1c, waist circumference and total cholesterol/modelled cardiovascular disease risk, respectively.ConclusionsImprovements in dietary behaviour in this screen-detected population were associated with small reductions in cardiovascular disease risk, independently of change in cardio-protective medication and physical activity. Dietary change may have a role to play in the reduction of cardiovascular disease risk following diagnosis of diabetes.

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Distribution of cardiovascular risk in type 2 diabetes: results of an analysis using data from the CAPTURE study
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Introduction Cardiovascular disease (CVD) is the leading cause of mortality in people with type 2 diabetes (T2D). CAPTURE, a non-interventional, cross-sectional study conducted across 13 countries in 2019, collected demographic and clinical characteristics in almost 10,000 adults with T2D in primary or secondary care. Less than 25% of patients with established CVD treated with a glucose-lowering agent received an agent with demonstrated benefit in cardiovascular (CV) risk reduction, such as a glucagon-like peptide-1 receptor agonist (GLP-1 RA) or a sodium–glucose co-transporter-2 inhibitor (SGLT-2i).1 It is not known whether this is linked to estimated 10-year and lifetime CV risk. Purpose To estimate the CV risk distribution in the CAPTURE population using the Diabetes Lifetime-perspective prediction (DIAL) model, and to assess treatment patterns by CV risk. Methods The DIAL model is an externally validated competing risk adjusted model for predicting CV risk in patients with T2D, calculating absolute 10-year and lifetime risk of myocardial infarction, stroke or cardiovascular death, and life-expectancy free of a CVD event. Patient-level data from CAPTURE (age, sex, body mass index, smoking status, HbA1c, CVD history, T2D duration, clinical parameters and treatment history) were used in the DIAL model. Missing data were imputed by region using predicted mean matching. High risk was defined as 10-year risk >10%, and lifetime risk >50%. Results Data from 9457 patients with T2D aged 30–85 years were included in the analyses. There was a wide distribution of both 10-year and lifetime risk, with higher risk in patients with a history of CVD (n=2914) than in those without (n=6543). Among patients with a history of CVD, 96% had a 10-year risk of CVD >10% and 81% had a lifetime risk of CVD >50% (Figure). In patients with CVD and a high 10-year risk of recurrent CVD, 81% had a lifetime risk of recurrent CVD >50%. In patients without history of CVD, 14% had a 10-year risk >10% and only 1% had a lifetime risk >50% (Figure). Among patients without previous CVD but with a high 10-year risk of CVD, only 4% had a lifetime risk >50%. Of the patients with CVD, 10% received a GLP-1 RA and 18% received an SGLT-2i. Similarly, of patients with CVD and a high 10-year risk of recurrent CVD, 10% received a GLP-1 RA and 17% received an SGLT-2i. Among patients without CVD, 11% received a GLP-1 RA and 16% received an SGLT-2i, and among patients without current CVD but at a high 10-year risk of CVD, 12% received a GLP-1 RA and 16% received an SGLT-2i. Conclusion There is a wide distribution of CVD risk in the CAPTURE population, and only a minority of patients at high risk of CVD received a glucose-lowering agent with demonstrated benefit in CV risk reduction. Discussing with patients the 10-year and lifetime risks, and the CV benefit to be gained from interventions, can enhance shared decision making. Funding Acknowledgement Type of funding sources: Private company. Main funding source(s): Funded by Novo Nordisk A/S

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  • International Journal of Cardiology
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  • Research Article
  • Cite Count Icon 30
  • 10.1186/s12933-017-0517-7
Efficacy and safety of canagliflozin in patients with type 2 diabetes based on history of cardiovascular disease or cardiovascular risk factors: a post hoc analysis of pooled data
  • Mar 21, 2017
  • Cardiovascular Diabetology
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  • Abstract
  • Cite Count Icon 234
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Association of hypertension status and cardiovascular risks with sympathovagal imbalance in first degree relatives of type 2 diabetics.
  • Dec 1, 2013
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  • Venugopal Lalitha + 6 more

As reports show cardiovascular (CV) risks in first-degree relatives (FDR) of type2 diabetics, and autonomic imbalance predisposing to CV risks, in the present study we have assessed the contribution of sympathovagal imbalance (SVI) to CV risks in these subjects. Body mass index (BMI), waist-to-hip ratio (WHR), basal heart rate (BHR), blood pressure (BP), rate pressure product (RPP), and spectral indices of heart rate variability (HRV) were reordered and analyzed in FDR of type2 diabetics (study group, n=293) and in subjects with no family history of diabetes (control group, n=405). The ratio of low-frequency (LF) to high-frequency (HF) power of HRV (LF-HF), a sensitive marker of SVI, was significantly increased (P<0.001) in the study group compared with the control group. The SVI in the study group was due to concomitant sympathetic activation (increased LF) and vagal inhibition (decreased HF). In the study group, the LF-HF ratio was significantly correlated with BMI, WHR, BHR, BP and RPP. Multiple regression analysis showed an independent contribution of LF-HF to hypertension status (P=0.000), and bivariate logistic regression showed significant prediction (odds ratio 2.16, confidence interval 1.130-5.115) of LF-HF to increased RPP, the marker of CV risk, in the study group. Sympathovagal imbalance in the form of increased sympathetic and decreased parasympathetic activity is present in FDR of type2 diabetics. Increased resting heart rate, elevated hypertension status, decreased HRV and increased RPP in these subjects make them vulnerable to CV risks. SVI in these subjects contributes to CV risks independent of the degree of adiposity.

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  • 10.1016/j.jcjd.2017.10.024
Cardiovascular Protection in People With Diabetes.
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Atherosclerosis and Vascular Biology
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  • Cardiovasc Circ + 2 more

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  • Cite Count Icon 63
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Cardiovascular risk screening program in Australian community pharmacies
  • Mar 10, 2010
  • Pharmacy World &amp; Science
  • Gregory M Peterson + 4 more

To assess the suitability of Australian community pharmacies as cardiovascular disease risk profile screening centres and evaluate whether community pharmacists can play an important role in detecting, educating and referring screened individuals at high risk of cardiovascular disease. 14 Australian community pharmacies. Opportunistic cardiovascular disease risk profiling for members of the public aged greater than 30 years with no existing cardiovascular diseases was performed. All major cardiovascular risk factors were measured. Exercise habits, existing conditions and therapy, and family history were also assessed. The results were used to calculate each subject's 10-year risk of developing cardiovascular events, based on Framingham Risk Equations (New Zealand tables). Each subject's knowledge of cardiovascular risk factors was assessed using a multiple-choice questionnaire. Written educational materials and verbal counselling were provided. Referral to a doctor for further assessment was recommended as appropriate. The screened individuals were followed up via mailed out questionnaire. A random sample of individuals at elevated risk was phoned to assess for outcomes of the screening and referral process. Risk of developing cardiovascular disease and knowledge of cardiovascular risk factors. A total of 655 individuals (71.4% female) were screened for cardiovascular disease risk factors. Ages ranged from 30 to 90 years (median: 54 years) and 14.2% were smokers. Of the individuals screened, 28.1% had a 10-year risk of developing cardiovascular disease greater than 15%, including 6.9% who had a 10-year risk above 30%. The median calculated 10-year risk of developing cardiovascular disease was 9.5%. Approximately one-third of the individuals had elevated blood pressure, and almost two-thirds were either overweight or obese. The mean total serum cholesterol was 5.31 mmol/l, with 40% of individuals having a level above 5.5 mmol/l and 20% having a high-density lipoprotein cholesterol level below 1.0 mmol/l. There was a statistically significant improvement in the knowledge of cardiovascular disease risk factors at follow-up. Almost half of the contacted high-risk subjects reported lifestyle changes or started drug therapy following re-testing by their general practitioner. A pharmacy-based cardiovascular disease risk profile screening and education program has the potential to identify and refer many undiagnosed individuals at high risk of cardiovascular events, and help contain the burden of heart disease.

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