Abdominal aortic calcification on lateral spine images captured during bone density testing and late-life dementia risk in older women: A prospective cohort study

Automated abdominal aortic calcification scoring from vertebral fracture assessment images and fall-associated hospitalisations: the Manitoba Bone Mineral Density Registry

Abdominal aortic calcification (AAC), a subclinical measure of cardiovascular disease (CVD) that can be assessed on vertebral fracture assessment (VFA) images during osteoporosis screening, is reported to be a falls risk factor. A limitation to incorporating AAC clinically is that its scoring requires trained experts and is time-consuming. We examined if our machine learning (ML) algorithm for AAC (ML-AAC24) is associated with a higher fall-associated hospitalisation risk in the Manitoba Bone Mineral Density (BMD) Registry. A total of 8565 individuals (94.0% female, age 75.7 ± 6.8 years) who had a BMD and VFA image from DXA between February 2010 and December 2017 were included. ML-AAC24 was categorised based on established categories (ML-AAC24 = low < 2; moderate 2 to < 6; high ≥ 6). Cox proportional hazards models assessed the relationship between ML-AAC24 categories and incident fall-associated hospitalisations obtained from linked health records (mean ± SD follow-up, 3.9 ± 2.2 years). Individuals with moderate (9.6%) and high ML-AAC24 (11.7%) had a greater proportion of fall-associated hospitalisations, compared to those with low ML-AAC24 (6.0%). In age and sex-adjusted models, compared to low ML-AAC24, moderate (HR 1.49, 95% CI 1.24-1.79) and high ML-AAC24 (HR 1.89, 95% CI 1.56-2.28) were associated with greater hazards for a fall-associated hospitalisation. Results were comparable (HR 1.37, 95% CI 1.13-1.65 and HR 1.60, 95% CI 1.31-1.95, respectively) after multivariable adjustment, including prior falls and CVD, as well as medication use. Integrating ML-AAC24 into bone density machine software to identify high risk individuals would opportunistically provide important information on fall and cardiovascular disease risk to clinicians for evaluation and intervention.

Analysis of the relationship between abdominal aortic calcification and frailty in the middle-aged and older US population

Background and Objective: Abdominal aortic calcification (AAC) is a marker of cardiovascular disease and is associated with increased mortality in middle-aged and older populations. However, its relationship with frailty remains unclear. Methods: Data were obtained from the 2013-2014 National Health and Nutrition Examination Survey. AAC was quantified using the Kauppila scoring system based on dual-energy X-ray absorptiometry. Frailty was assessed using the frailty index. Multivariable logistic regression models examined the association between AAC and frailty. Results: A total of 2987 adults aged ≥40 years were included. Compared to individuals with an AAC-8 score of 0, low-risk (AAC-8 score = 1-2; OR: 1.24; 95 % CI, 1.00-1.53) and high-risk AAC (AAC-8 score ≥ 3; OR: 1.83; 95 % CI, 1.03-3.23) were associated with higher odds of frailty. Similarly, mild to moderate AAC (0 < AAC-24 score ≤ 6; OR: 1.26; 95 % CI, 1.03-1.54) and severe AAC (AAC-24 score > 6; OR: 1.79; 95 % CI, 1.07-2.99) showed positive associations with frailty. Conclusions: Among middle-aged and older populations in the United States, there exists a positive correlation between AAC and frailty. Our findings suggest that the AAC score holds promise as a valuable tool for the early identification of frailty.

Association between Ward's triangle bone mineral density levels and abdominal aortic calcification: Data from the national health and nutrition examination survey 2013-2014

BACKGROUND & AIMS

Despite extensive research into the cardiovascular implications of abdominal aortic calcification (AAC), there is a scarcity of robust studies exploring its association with Ward's triangle bone mineral density (BMD). This study aimed to evaluate this relationship in a nationally representative sample and compare the predictive value with femoral neck BMD and total femur BMD.

METHODS

We conducted a cross-sectional analysis of 2013-2014 National Health and Nutrition Examination Survey (NHANES) data, utilizing a complex, stratified, multistage, cluster sampling design. BMD measurements at Ward's triangle, femoral neck, and total femur were assessed using DXA scans. AAC severity was defined by a Kauppila score of ≥5. Predictors of AAC-24 scores were identified through correlation and linear regression models. Stratified regression and restricted cubic splines were applied to explore subgroup and dose-response relationships.

RESULTS

Of the 2965 participants representing 116, 562, 500 individuals in the U.S., 11 % had severe AAC. Ward's triangle BMD showed a significant negative association with AAC-24 scores (β = -1.90, 95 % CI: -2.80 to -1.00, P < 0.002) and a reduced risk of severe AAC (OR = 0.85, 95 % CI: 0.76 to 0.95, P = 0.010). Non-linear associations were observed between Ward's triangle BMD and AAC outcomes. Ward's triangle BMD outperformed femoral neck and total femur BMD in predicting AAC.

CONCLUSIONS

Higher Ward's triangle BMD is linked to lower odds of severe AAC, highlighting its potential for improved early detection of AAC over femoral neck and total femur BMD. Healthcare providers should consider the implications of reduced Ward's triangle BMD for systemic atherosclerosis and recommend early AAC screening for enhanced cardiovascular risk management.

Association between oxidative balance score and abdominal aortic calcification among middle-aged and elderly population

BACKGROUND

The Oxidative Balance Score (OBS) was created to evaluate an individual's overall antioxidant status. The objective of this study was to examine the association between OBS and abdominal aortic calcification (AAC) among individuals aged ≥ 40 years.

METHODS

This population-based cross-sectional study used data from the National Health and Nutrition Examination Survey in 2013-2014 and included adults aged ≥ 40 years. Survey-weighted multivariable logistic and restricted cubic spline models were used to assess the association between OBS and AAC.

RESULTS

Among 2520 participants, 744 were diagnosed with AAC (weighted percentage, 28.13%). Survey-weighted multivariable logistic revealed an inverse association between OBS and AAC [0.98 (0.96, 1.00)], and the nonlinear dose-response relationship was observed. Subgroup analysis and interaction tests revealed that this inverse relationship was consistent across different populations (all P for interaction > 0.05).

CONCLUSIONS

OBS was inversely associated with the prevalence of AAC among individuals aged ≥ 40 years. Maintaining a higher OBS may be beneficial in reducing the burden of AAC.

Associations between dietary fatty acids intake and abdominal aortic calcification: a national population-based study

BACKGROUND

Abdominal aortic calcification (AAC) is a crucial indicator of cardiovascular health. This study aims investigates the associations between dietary fatty acid intake and AAC.

METHODS

In this study, a cross-sectional assessment was performed on a group of 2,897 individuals aged 40 and above, utilizing data from the NHANES. The focus was on examining dietary consumption of various fatty acids, including Saturated (SFA), Monounsaturated (MUFA), Polyunsaturated (PUFA), as well as Omega-3 and Omega-6. The evaluation of AAC was done by applying the Kauppila AAC score to results obtained from dual-energy X-ray absorptiometry scans. For statistical analysis, weighted multivariate linear and logistic regression were employed, with adjustments for variables like gender, age, ethnicity, and overall health condition.

RESULTS

Participants with higher intake of SFA and PUFA showed a positive association with AAC score, while higher levels of dietary Omega-3 and Omega-6 fatty acids was connected with a negative correlation. Subgroup analyses indicated consistent associations across different sexes and age groups. The study found that an increase in SFA and PUFA intake correlated with an increase in AAC score, whereas Omega-3 and Omega-6 intake correlated with a decrease.

CONCLUSION

This study underscores the importance of dietary fatty acid composition in the prevalence of AAC and its potential implications for dietary guidelines and cardiovascular disease prevention strategies.

Extent of Abdominal Aortic Calcification Is Associated With Incident Rapid Weight Loss Over 5 Years: The Perth Longitudinal Study of Ageing Women

BACKGROUND

Abdominal aortic calcification (AAC), a marker of vascular disease, is associated with disease in other vascular beds including gastrointestinal arteries. We investigated whether AAC is related to rapid weight loss over 5 years and whether rapid weight loss is associated with 9.5-year all-cause mortality in community-dwelling older women.

METHODS

Lateral spine images from dual-energy x-ray absorptiometry (1998/1999) were used to assess AAC (24-point AAC scoring method) in 929 older women. Over 5 years, body weight was assessed at 12-month intervals. Rapid weight loss was defined as >5% decrease in body weight within any 12-month interval. Multivariable-adjusted logistic regression was used to assess AAC and rapid weight loss and Cox regression to assess the relationship between rapid weight loss and 9.5-year all-cause mortality.

RESULTS

Mean±SD age of women was 75.0±2.6 years. During the initial 5 years, 366 (39%) women presented with rapid weight loss. Compared with women with low AAC (24-point AAC score 0-1), those with moderate (24-point AAC score 2-5: odds ratio, 1.36 [95% CI, 1.00-1.85]) and extensive (24-point AAC score 6+: odds ratio, 1.59 [95% CI, 1.10-2.31]) AAC had higher odds for presenting with rapid weight loss. Results remained similar after further adjustment for dietary factors (alcohol, protein, fat, and carbohydrates), diet quality, blood pressure, and cholesterol measures. The estimates were similar in subgroups of women who met protein intake (n=599) and physical activity (n=735) recommendations (extensive AAC: odds ratios, 1.81 [95% CI, 1.12-2.92] and 1.58 [95% CI, 1.02-2.44], respectively). Rapid weight loss was associated with all-cause mortality over the next 9.5 years (hazard ratio, 1.49 [95% CI, 1.17-1.89]; P=0.001).

CONCLUSIONS

AAC extent was associated with greater risk for rapid weight loss over 5 years in older women, a risk for all-cause mortality. Since the association was unchanged after taking nutritional intakes into account, these data support the possibility that vascular disease may play a role in the maintenance of body weight.

Machine-Learning Assessed Abdominal Aortic Calcification is Associated with Long-Term Fall and Fracture Risk in Community-Dwelling Older Australian Women

Abdominal aortic calcification (AAC), a recognized measure of advanced vascular disease, is associated with higher cardiovascular risk and poorer long-term prognosis. AAC can be assessed on dual-energy X-ray absorptiometry (DXA)-derived lateral spine images used for vertebral fracture assessment at the time of bone density screening using a validated 24-point scoring method (AAC-24). Previous studies have identified robust associations between AAC-24 score, incident falls, and fractures. However, a major limitation of manual AAC assessment is that it requires a trained expert. Hence, we have developed an automated machine-learning algorithm for assessing AAC-24 scores (ML-AAC24). In this prospective study, we evaluated the association between ML-AAC24 and long-term incident falls and fractures in 1023 community-dwelling older women (mean age, 75 ± 3 years) from the Perth Longitudinal Study of Ageing Women. Over 10 years of follow-up, 253 (24.7%) women experienced a clinical fracture identified via self-report every 4-6 months and verified by X-ray, and 169 (16.5%) women had a fracture hospitalization identified from linked hospital discharge data. Over 14.5 years, 393 (38.4%) women experienced an injurious fall requiring hospitalization identified from linked hospital discharge data. After adjusting for baseline fracture risk, women with moderate to extensive AAC (ML-AAC24 ≥ 2) had a greater risk of clinical fractures (hazard ratio [HR] 1.42; 95% confidence interval [CI], 1.10-1.85) and fall-related hospitalization (HR 1.35; 95% CI, 1.09-1.66), compared to those with low AAC (ML-AAC24 ≤ 1). Similar to manually assessed AAC-24, ML-AAC24 was not associated with fracture hospitalizations. The relative hazard estimates obtained using machine learning were similar to those using manually assessed AAC-24 scores. In conclusion, this novel automated method for assessing AAC, that can be easily and seamlessly captured at the time of bone density testing, has robust associations with long-term incident clinical fractures and injurious falls. However, the performance of the ML-AAC24 algorithm needs to be verified in independent cohorts. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).

Massive Calcified Abdominal Aortic Aneurysm Presenting as Low Back Pain

Calcified abdominal aortic aneurysm (CAAA) is a radiological finding that manifests the calcification in the bulged aortic walls. CAAA has high mortality. The presence of calcification as a key player in abdominal aortic aneurysm (AAA) rupture risk was reported in the literature. Factors contributing to a CAAA compared to AAA are age, dyslipidemia, hypertension, diabetes mellitus, genetics, disturbances in calcium-phosphate homeostasis, and smoking. There are a few genetic mutations associated with CAAA as well. Causes of AAA include lipid build-up in the aortic wall, inflammatory diseases, traumas, blood vessel diseases that supply the aortic wall, and connective tissue disorders.