Maintaining cardiovascular health: An approach specific to women

Self-reported sleep duration and quality and cardiovascular diseases among middle-aged and older Chinese: A 7-year longitudinal cohort study

Cardiovascular disease (CVD) is a leading cause of death worldwide, and several studies have attempted to identify its risk factors. This study aimed to investigate the association between sleep duration and sleep quality, and the 7-year incidence of CVD among middle-aged and older Chinese individuals. A total of 6682 participants aged 45-90 years from the China Health and Retirement Longitudinal Study database were included in this study. The authors estimated sleep duration and quality based on self-reported data of night sleep hours and disturbance symptoms, and examined the associations between them and the composite outcome of CVD using logistic regression models. A total of 1692 participants (25.32%) reported new CVD events during follow-up. Short sleep duration (< 6 h/night) was significantly associated with a higher risk of CVD in all three models (p < .05). However, this was not observed for long sleep duration (> 8 h/night). Additionally, participants with mild sleep disturbance in all three models, and severe sleep disturbance in Models 2 and 3 had a significantly higher risk of CVD (p < .05). After stratification by age and daytime napping, we still found a significant association between short sleep duration and CVD in individuals aged 45-59 years, and between sleep disturbance and CVD in non-nappers (p < .05). However, these associations were not significant in individuals aged ≥60 years or in nappers (p > .05). In conclusion, short sleep duration and sleep disturbance are both associated with an increased risk of CVD in middle-aged and older Chinese individuals.

Detection and quantification of breast arterial calcifications on mammograms: a deep learning approach

OBJECTIVE

Breast arterial calcifications (BAC) are a sex-specific cardiovascular disease biomarker that might improve cardiovascular risk stratification in women. We implemented a deep convolutional neural network for automatic BAC detection and quantification.

METHODS

In this retrospective study, four readers labelled four-view mammograms as BAC positive (BAC+) or BAC negative (BAC-) at image level. Starting from a pretrained VGG16 model, we trained a convolutional neural network to discriminate BAC+ and BAC- mammograms. Accuracy, F1 score, and area under the receiver operating characteristic curve (AUC-ROC) were used to assess the diagnostic performance. Predictions of calcified areas were generated using the generalized gradient-weighted class activation mapping (Grad-CAM++) method, and their correlation with manual measurement of BAC length in a subset of cases was assessed using Spearman ρ.

RESULTS

A total 1493 women (198 BAC+) with a median age of 59 years (interquartile range 52-68) were included and partitioned in a training set of 410 cases (1640 views, 398 BAC+), validation set of 222 cases (888 views, 89 BAC+), and test set of 229 cases (916 views, 94 BAC+). The accuracy, F1 score, and AUC-ROC were 0.94, 0.86, and 0.98 in the training set; 0.96, 0.74, and 0.96 in the validation set; and 0.97, 0.80, and 0.95 in the test set, respectively. In 112 analyzed views, the Grad-CAM++ predictions displayed a strong correlation with BAC measured length (ρ = 0.88, p < 0.001).

CONCLUSION

Our model showed promising performances in BAC detection and in quantification of BAC burden, showing a strong correlation with manual measurements.

CLINICAL RELEVANCE STATEMENT

Integrating our model to clinical practice could improve BAC reporting without increasing clinical workload, facilitating large-scale studies on the impact of BAC as a biomarker of cardiovascular risk, raising awareness on women's cardiovascular health, and leveraging mammographic screening.

KEY POINTS

• We implemented a deep convolutional neural network (CNN) for BAC detection and quantification. • Our CNN had an area under the receiving operator curve of 0.95 for BAC detection in the test set composed of 916 views, 94 of which were BAC+ . • Furthermore, our CNN showed a strong correlation with manual BAC measurements (ρ = 0.88) in a set of 112 views.

Cardiovascular disease and bone health in aging female rheumatic disease populations: A review

Rheumatic diseases cover a wide spectrum of conditions, including primary and secondary degenerative joint diseases and autoimmune inflammatory rheumatic diseases. The risks of cardiovascular disease and osteoporosis and resultant fractures in aging female rheumatic disease populations, especially those with autoimmune rheumatic diseases, are increased. Changes in the immune system in aging populations need to be considered especially among patients with autoimmune rheumatic diseases. Immunosenescence is closely aligned to reduced adaptive immunity and increased non-specific innate immunity leading to chronic inflammation of inflammaging. The effective use of disease-modifying antirheumatic drugs to control autoimmune rheumatic diseases may also mitigate factors leading to cardiovascular disease and osteoporosis. Rheumatic diseases, which largely manifest as arthritis, predispose patients to premature joint degeneration and poor bone health and therefore have a higher risk of developing end-stage arthritis requiring joint arthroplasties sooner or more often than other patients without rheumatic disease.

Breast arterial calcifications on mammography: a new marker of cardiovascular risk in asymptomatic middle age women?

OBJECTIVES

To determine whether breast arterial calcification (BAC) detected on mammography can predict the presence of coronary artery calcification (CAC) on CT in women.

METHODS

Women explored with both mammography and thoracic CT from 2009 to 2018 were retrospectively included. Women were separated in 3 categories (no BAC, few BAC, and marked BAC) using a specific 12-point scale. Similar scale was used to evaluate the amount of CAC on CT. The mean sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and diagnostic accuracy of BAC for the detection of CAC were calculated. Statistical significance was assessed with Pearson's chi-squared test and Fisher's exact test as appropriate.

RESULTS

A total of 507 women (mean age: 62 years ± 16) were included. Patients with high amount of BAC were older (72 ± 11 vs. 59 ± 15 years old; p < .0001), were more frequently hypertensive (66% vs. 31%; p < .0001), and had more frequently renal failure (21% vs. 6%; p < .0003) than patients without BAC. The sensitivity, specificity, PPV, NPV, and diagnostic accuracy of BAC for the detection of women with marked CAC were 53.1%, 87.6%, 55.0%, 86.7%, and 79.9%, respectively. The highest diagnostic accuracy was obtained in patients under 60 years: 84.2% for detection of CAC and 93.2% for detection of women with marked CAC.

CONCLUSION

The presence of BAC on mammography was linked to the presence of CAC and may be used as a cardiovascular marker in patient less than 60 years.

KEY POINTS

• The diagnostic accuracy of breast arterial calcification (BAC) to detect the presence of coronary artery calcification (CAC) was 70.4% and reached to 79.9% to detect women with high amount of CAC. • Highest diagnostic accuracy of BAC to detect CAC (93.2%) was noticed in women under 60 years. • The presence of BAC on mammography may be used as a cardiovascular risk marker in women, especially under 60 years.

The Lancet women and cardiovascular disease Commission: reducing the global burden by 2030

Cardiovascular disease is the leading cause of death in women. Decades of grassroots campaigns have helped to raise awareness about the impact of cardiovascular disease in women, and positive changes affecting women and their health have gained momentum. Despite these efforts, there has been stagnation in the overall reduction of cardiovascular disease burden for women in the past decade. Cardiovascular disease in women remains understudied, under-recognised, underdiagnosed, and undertreated. This Commission summarises existing evidence and identifies knowledge gaps in research, prevention, treatment, and access to care for women. Recommendations from an international team of experts and leaders in the field have been generated with a clear focus to reduce the global burden of cardiovascular disease in women by 2030. This Commission represents the first effort of its kind to connect stakeholders, to ignite global awareness of sex-related and gender-related disparities in cardiovascular disease, and to provide a springboard for future research.

Effect of Menopause on Arterial Stiffness and Central Hemodynamics: A Pulse Wave Analysis-Based Cross-sectional Study from Gujarat, India

Background:

Menopause, a cardiovascular risk in mid-life women, is studied in terms of blood pressure mostly. Arterial stiffness (AS) and central hemodynamics (CH) are direct surrogates measured by pulse wave analysis (PWA) with no study from our region.

Objective:

We studied AS, CH in relation to menopause using PWA.

Materials and Methods:

A cross-sectional study was performed in 134 middle-aged females divided into groups with or without menopause. Oscillometric PWA done by Mobil-o-Graph (IEM, Germany) gave – AS like augmentation pressure, augmentation index at heart rate (HR) 75, aortic pulse wave velocity (aPWV), and total AS pulse pressure amplification; CH like aortic blood pressure, cardiac output and related parameters, peripheral resistance, stroke work, prevalent brachial/central hypertension, and raised central pulse pressure. They were further compared between groups, in relation to body mass index (BMI) and by multiple regressions with P < 0.05 as statistical significance.

Results:

Postmenopausal women were significantly elder, physically inactive with comparable BMI and showed higher AS (only aPWV was significantly different) and CH. BMI was unrelated to AS or CH in postmenopausal group. Age (except for aPWV), BMI, and HR (except for AIx@75) were insignificant predictors, while systolic blood pressure (SBP) in premenopausal and diastolic blood pressure (DBP) in postmenopausal group was major AS predictors. Age, HR, and BMI were insignificant predictors, while SBP more than DBP was significant predictors of CH.

Conclusions:

In obese, predominantly sedentary midlife Gujarati women, menopause negatively affects AS and hemodynamics, central more than peripheral. Menopause accelerates cardiovascular aging, independent of BMI, and age that calls for further studies.