Association of Bone Mineral Density and Coronary Artery Calcification in Patients with Osteopenia and Osteoporosis

Investigating the Effects and Mechanisms of Combined Vitamin D and K Supplementation in Postmenopausal Women: An Up-to-Date Comprehensive Review of Clinical Studies

Aging is a complex process and a significant risk factor for chronic diseases. Menopause, a component of aging in women, is associated with several important cardiometabolic conditions including metabolic syndrome, osteoporosis, and cardiovascular diseases. Menopausal women could benefit from preventative strategies that may decrease morbidity and mortality and improve their quality of life. Vitamins D and K are essential nutrients required for bone health, immune function, and reducing cardiovascular risks, yet their synergistic effect is less understood in aging women. This is the first comprehensive review to summarize the evidence found in randomized clinical trials of the beneficial effects of vitamin D and K co-treatment in postmenopausal women. In our literature search across key electronic databases such as Cochrane, PubMed, and Ovid, we identified 31 pertinent studies. Overall, significant findings indicate that the combined intake of vitamins D and K may positively affect cardiovascular and bone health in postmenopausal women, emphasizing the importance of maintaining a healthy diet rich in vegetables and fermented dairy products. Given the challenges in obtaining all necessary nutrients solely through the diet, vitamin D and K supplements are recommended for postmenopausal women to promote healthy aging and well-being.

Using a machine learning-based risk prediction model to analyze the coronary artery calcification score and predict coronary heart disease and risk assessment

OBJECTIVES

To calculate the coronary artery calcification score (CACS) obtained from coronary artery computed tomography angiography (CCTA) examination and combine it with the influencing factors of coronary artery calcification (CAC), which is then analyzed by machine learning (ML) to predict the probability of coronary heart disease(CHD).

METHODS

All patients who were admitted to the Affiliated Hospital of Traditional Chinese Medicine of Southwest Medical University from January 2019 to March 2022, suspected of CHD, and underwent CCTA inspection were retrospectively selected. The degree of CAC was quantified based on the Agatston score. To compare the correlation between the CACS and clinical-related factors, we collected 31 variables, including hypertension, diabetes, smoking, hyperlipidemia, among others. ML models containing the random forest (RF), radial basis function neural network (RBFNN),support vector machine (SVM),K-Nearest Neighbor algorithm (KNN) and kernel ridge regression (KRR) were used to assess the risk of CHD based on CACS and clinical-related factors.

RESULTS

Among the five ML models, RF achieves the best performance about accuracy (ACC) (78.96%), sensitivity (SN) (93.86%), specificity(Spe) (51.13%), and Matthew's correlation coefficient (MCC) (0.5192).It also has the best area under the receiver operator characteristic curve (ROC) (0.8375), which is far superior to the other four ML models.

CONCLUSION

Computer ML model analysis confirmed the importance of CACS in predicting the occurrence of CHD, especially the outstanding RF model, making it another advancement of the ML model in the field of medical analysis.

Association between osteosarcopenia and coronary artery calcification in asymptomatic individuals

Osteoporosis and sarcopenia are substantially interrelated with shared cardiovascular risk factors. However, the relationship between osteosarcopenia and coronary artery disease is largely unexplored. We aimed to investigate the association between osteosarcopenia and coronary artery calcification (CAC) scores in asymptomatic adults. A total of 5969 asymptomatic adults without cardiovascular disease who underwent a health examination including estimation of CAC scores by cardiac tomography were analyzed. Osteoporosis was defined as low bone mineral density T-score ≤  − 2.5 standard deviation, and sarcopenia as appendicular skeletal muscle mass < 5.7 kg/m² for women and < 7.0 kg/m² for men, and osteosarcopenia as the copresence of both osteoporosis and sarcopenia. Participants were divided into four groups according to the presence of osteoporosis and/or sarcopenia as control, sarcopenia alone, osteoporosis alone, and osteosarcopenia. Prevalence of CAC was 22.0% in control, 23.6% in sarcopenia alone, 38.5% in osteoporosis alone, and 48.3% in osteosarcopenia group, with the osteosarcopenia group showing the highest (p < 0.0001). After adjustments for possible confounders, mean of log (CAC score + 1) in osteosarcopenia group was higher than other three groups (Bonferroni p < 0.0001). Using multivariate-adjusted analysis, subjects with osteosarcopenia had the highest risk for having CAC > 0 (odds ratio [OR] 2.868; 95% confidence interval [CI] 1.717–4.790). Furthermore, subjects with osteosarcopenia had a significant risk of moderate-to-extensive CAC (CAC score ≥ 100) (OR 2.709; 95% CI 1.128–6.505). We demonstrated that osteosarcopenia was independently associated with a higher prevalence of subclinical coronary atherosclerosis. Our results suggest osteosarcopenia as a predisposing factor for coronary heart disease.

Association of Trabecular Bone Score-Adjusted Fracture Risk Assessment Tool with Coronary Artery Calcification in Women

The trabecular bone score (TBS) was found to be significantly associated with moderate coronary artery calcification (CAC). The aim of this study was to further explore the association between TBS-adjusted Fracture Risk Assessment Tool (FRAX) and CAC score in women. The electronic medical record database of a regional teaching hospital in southern Taiwan yielded women who received both coronary computed tomography and bone mineral density (BMD) measurement during their general health examination. Health history, anthropomorphic measurements, laboratory results, BMD, and T-scores were obtained. TBS values were calculated from database spine dual-energy X-ray absorptiometry files. Linear regression analyses tested the association between CAC score and 10-year probability of major osteoporotic fracture (MOF) and hip fracture (HF) determined by TBS-adjusted FRAX. Of the 116 women (mean age 55.8 years) studied, 24.1% had osteoporosis. Simple linear regression showed a significant association of CAC score with an increase in MOF and HF risk as measured by TBS-adjusted FRAX. In multiple linear regression adjusted for potential confounders, CAC score remained significantly associated with TBS-adjusted FRAX for right MOF (p = 0.002), left MOF (p = 0 006), right HF (p = 0.005), and left HF (p = 0.015). In conclusion, clinicians should be vigilant to the potential increased risk of coronary events among women with increased TBS-adjusted FRAX for MOF and HF.

Association Between Coronary Artery Calcium Score and Bone Mineral Density in Type 2 Diabetes Mellitus with Different Visceral Fat Area

PURPOSE

The relationship between coronary artery calcification and bone mineral density (BMD) in T2DM is still unclear. The aim of this study is to analyze the association between coronary artery calcium score (CACs) and BMD in T2DM with different visceral fat area (VFA), and further to explore the clinical significance of CACs in predicting osteoporosis in T2DM patients.

PATIENTS AND METHODS

A total of 479 T2DM patients aged ≥50 years were included. Agatston was applied to calculate CACs to evaluate the degree of coronary artery calcification. Dual-energy X-ray absorptiometry (DXA) was used to measure BMD. According to VFA, all subjects were divided into VFA <100cm² and VFA ≥100cm² group. Adjusted regression analysis was performed to analyze the association between CACs and BMD. ROC curve was used to analyze the optimal cut-off value of CACs for screening osteoporosis.

RESULTS

The baseline showed that in VFA ≥100cm² group, CACs increased significantly than that in VFA <100cm² group (212.1±195.9 vs 139.3±141.8, p<0.001) and total hip BMD decreased obviously (0.968±0.19 vs 1.021±0.184, p=0.01). After multivariable adjustment, CACs was not significantly associated with BMD in all patients (p>0.05). However, CACs was negatively associated with BMD of total hip and lumbar spine in patients with VFA ≥100cm² (total hip β=-0.087 p=0.01; lumbar spine β=-0.052 p=0.005), but not VFA <100cm². ROC curve analysis showed that the optimal cut-off value of CACs for screening osteoporosis was 191.505.

CONCLUSION

The present study implied that associations between CACs and BMD varied by the visceral fat deposition. It is critical to evaluate the condition of visceral fat accumulation for exploring the complex interplay of coronary artery calcification and BMD in T2DM patients. It may be of some clinical value for CACs in predicting osteoporosis in T2DM with visceral obesity.