Screening mammography performance according to breast density: a comparison between radiologists versus standalone intelligence detection.

BACKGROUND: Artificial intelligence (AI) algorithms for the independent assessment of screening mammograms have not been well established in a large screening cohort of Asian women. We compared the performance of screening digital mammography considering breast density, between radiologists and AI standalone detection among Korean women. METHODS: We retrospectively included 89,855 Korean women who underwent their initial screening digital mammography from 2009 to 2020. Breast cancer within 12 months of the screening mammography was the reference standard, according to the National Cancer Registry. Lunit software was used to determine the probability of malignancy scores, with a cutoff of 10% for breast cancer detection. The AI's performance was compared with that of the final Breast Imaging Reporting and Data System category, as recorded by breast radiologists. Breast density was classified into four categories (A-D) based on the radiologist and AI-based assessments. The performance metrics (cancer detection rate [CDR], sensitivity, specificity, positive predictive value [PPV], recall rate, and area under the receiver operating characteristic curve [AUC]) were compared across breast density categories. RESULTS: Mean participant age was 43.5 ± 8.7 years; 143 breast cancer cases were identified within 12 months. The CDRs (1.1/1000 examination) and sensitivity values showed no significant differences between radiologist and AI-based results (69.9% [95% confidence interval [CI], 61.7-77.3] vs. 67.1% [95% CI, 58.8-74.8]). However, the AI algorithm showed better specificity (93.0% [95% CI, 92.9-93.2] vs. 77.6% [95% CI, 61.7-77.9]), PPV (1.5% [95% CI, 1.2-1.9] vs. 0.5% [95% CI, 0.4-0.6]), recall rate (7.1% [95% CI, 6.9-7.2] vs. 22.5% [95% CI, 22.2-22.7]), and AUC values (0.8 [95% CI, 0.76-0.84] vs. 0.74 [95% CI, 0.7-0.78]) (all P < 0.05). Radiologist and AI-based results showed the best performance in the non-dense category; the CDR and sensitivity were higher for radiologists in the heterogeneously dense category (P = 0.059). However, the specificity, PPV, and recall rate consistently favored AI-based results across all categories, including the extremely dense category. CONCLUSIONS: AI-based software showed slightly lower sensitivity, although the difference was not statistically significant. However, it outperformed radiologists in recall rate, specificity, PPV, and AUC, with disparities most prominent in extremely dense breast tissue.

Early-onset vasomotor symptoms and development of depressive symptoms among premenopausal women.

BACKGROUND: We investigated the association between vasomotor symptoms (VMSs) and the onset of depressive symptoms among premenopausal women. METHODS: This cross-sectional study included 4376 premenopausal women aged 42-52 years, and the cohort study included 2832 women without clinically relevant depressive symptoms at baseline. VMSs included the symptoms of hot flashes and night sweats. Depressive symptoms were evaluated using the Center for Epidemiological Studies Depression Scale; a score of ≥16 was considered to define clinically relevant depressive symptoms. RESULTS: Premenopausal Women with VMSs at baseline exhibited a higher prevalence of depressive symptoms compared with women without VMSs at baseline (multivariable-adjusted prevalence ratio 1.76, 95 % confidence interval [CI] 1.47-2.11). Among the 2832 women followed up (median, 6.1 years), 406 developed clinically relevant depressive symptoms. Women with versus without VMSs had a significantly higher risk of developing clinically relevant depressive symptoms (multivariable-adjusted hazard ratio, 1.72; 95 % CI 1.39-2.14). VMS severity exhibited a dose-response relationship with depressive symptoms (P for trend <0.05). LIMITATIONS: Self-reported questionnaires were only used to obtain VMSs and depressive symptoms, which could have led to misclassification. We also could not directly measure sex hormone levels. CONCLUSIONS: Even in the premenopausal stage, women who experience hot flashes or night sweats have an increased risk of present and developed clinically relevant depressive symptoms. It is important to conduct mental health screenings and provide appropriate support to middle-aged women who experience early-onset VMSs.

Association Between ECG Abnormalities and Mortality in a Low-Risk Population.

BACKGROUND: The ECG is a simple, noninvasive screening method for cardiovascular disease and arrhythmia. The impact of ECG abnormality on mortality is not certain in low-risk populations. To address this, we evaluated the association between ECG abnormality and mortality. METHODS AND RESULTS: We retrospectively assessed baseline ECG and all-cause mortality and cardiovascular mortality in 660 383 patients presenting for medical check-ups. Baseline ECG abnormalities were classified according to the Minnesota Code. Among the total 660 383 participants, 23 609 (3.6%) had major and 110 038 (16.7%) had minor ECG abnormalities. All-cause mortality occurred in 7751 patients (1.1%) and cardiovascular mortality in 1180 (0.18%) over a median follow-up period of 8.8 years. Major ECG abnormalities were associated with all-cause mortality (hazard ratio [HR], 1.11 [95%, 1.03-1.2]) and cardiovascular mortality (HR, 1.92 [95% CI, 1.63-2.27]) compared with no ECG abnormalities. All-cause mortality was associated with right atrial enlargement (HR, 2.11 [95% CI, 1.1-4.07]), left atrial enlargement (HR, 1.76 [95% CI, 1.1-2.84]), sinus tachycardia (HR, 1.52 [95% CI, 1.15-2.01]), complete atrioventricular block (HR, 2.1 [95% CI, 1.05-4.2]), atrial fibrillation (HR, 1.52 [95% CI, 1.26-1.84]), and left ventricular hypertrophy (HR, 1.15 [95% CI, 1.02-1.3]). Cardiovascular mortality was associated with left atrial enlargement (HR, 4.52 [95% CI, 2.15-9.5]), atrial fibrillation (HR, 3.22 [95% CI, 2.33-4.46]), left ventricular hypertrophy (HR, 1.72 [95% CI, 1.35-2.19]), major Q-wave abnormality (HR, 1.6 [95% CI, 1.08-2.39]), and major ST-T abnormality (HR, 1.76 [95% CI, 1.01-3.04]). CONCLUSIONS: ECG abnormalities, including left atrial enlargement, left ventricular hypertrophy, atrial fibrillation, and major Q-wave and ST-T abnormalities, were associated with cardiovascular mortality in a low-risk population.

Mammography-Based Deep Learning Model for Coronary Artery Calcification.

AIMS: Mammography, commonly used for breast cancer screening in women, can also predict cardiovascular disease. We developed mammography-based deep learning models for predicting coronary artery calcium (CAC) scores, an established predictor of coronary events. METHODS AND RESULTS: We evaluated a subset of Korean adults who underwent image mammography and CAC computed tomography and randomly selected approximately 80% of the participants as the training dataset, used to develop a convolutional neural network (CNN) to predict detectable CAC. The sensitivity, specificity, area under the receiver operating characteristic curve (AUROC), and overall accuracy of the model's performance were evaluated. The training and validation datasets included 5235 and 1208 women, respectively, (mean age, 52.6 [±10.2] years), including non-zero cases (46.8%). The CNN-based deep learning prediction model based on the Resnet18 model showed the best performance. The model was further improved using contrastive learning strategies based on positive and negative samples: sensitivity, 0.764 (95% CI, 0.667-0.830); specificity, 0.652 (95% CI, 0.614-0.710); AUROC, 0.761 (95% CI, 0.742-0.780); and accuracy, 70.8% (95% CI, 68.8-72.4). Moreover, including age and menopausal status in the model further improved its performance (AUROC, 0.776; 95% CI, 0.762-0.790). The Framingham risk score yielded an AUROC of 0.736 (95% CI, 0.712-0.761). CONCLUSIONS: Mammography-based deep learning models showed promising results for predicting CAC, performing comparably to conventional risk models. This indicates mammography's potential for dual-risk assessment in breast cancer and cardiovascular disease. Further research is necessary to validate these findings in diverse populations, with a particular focus on representation from national breast screening programs.

Vasomotor and other menopause symptoms and the prevalence of ideal cardiovascular health metrics among premenopausal stage women.

OBJECTIVE: We examined the association between menopause symptoms and the prevalence of ideal cardiovascular health (CVH) metrics among premenopausal women. METHODS: This cross-sectional study comprised 4,611 premenopausal women aged 42 to 52 years. Data for CVH metrics were collected during health screening examinations. Menopause symptoms were measured using the Korean version of the Menopause-Specific Quality of Life questionnaire. For vasomotor, psychosocial, physical, and sexual symptoms, participants were divided into absent or symptomatic groups, further divided into tertiles (range, 0-7; 7 being the most bothersome). Ideal CVH metrics were defined according to the American Heart Association Life Simple 7 metrics, except dietary component. Cardiovascular health metrics were scored from 0 (unhealthy) to 6 (healthy) and classified as poor (0-2), intermediate (3-4), and ideal (5-6). Multinomial logistic regression models were used to estimate the prevalence ratios for intermediate and poor CVH metrics using ideal CVH as the reference. RESULTS: The overall and 4 menopause-specific quality of life domain scores were significantly associated with poorer CVH metrics scores in a dose-response manner ( P < 0.05). After adjusting for age, parity, education level, anti-Mullerian hormone levels, and alcohol intake, women with the most bothersome degree for vasomotor, psychosocial, physical, and sexual symptoms had significantly higher prevalence of poor CVH metrics, with corresponding prevalence ratios (95% confidence interval) of 2.90 (1.95-4.31), 2.07 (1.36-3.15), 3.01 (1.19-7.65), and 1.66 (1.15-2.39), respectively, compared with those without each vasomotor, psychosocial, physical, and sexual symptom. CONCLUSIONS: Premenopausal stage women with either vasomotor or nonvasomotor menopausal symptoms have significantly higher prevalence of poor CVH metrics, compared with those without any menopausal symptoms.

Sex differences in the association between minor nonspecific ST-segment and T-wave abnormalities and coronary artery calcification.

BACKGROUND AND AIMS: Although minor nonspecific ST-segment and T-wave abnormalities (NSSTTA) have been associated with adverse cardiovascular outcomes, their relationship with subclinical atherosclerosis remains controversial. Therefore, the associations between electrocardiographic (ECG) abnormalities, including NSSTTA, and coronary artery calcification (CAC) were investigated in this study. METHODS: This cross-sectional study included 136,461 Korean participants with no known cardiovascular disease or cancer, who underwent a health checkup including ECG and computed tomography to measure the coronary artery calcium score (CACS) by Agatston method between 2010 and 2018. ECG abnormalities were defined in accordance with the Minnesota Code using an automated ECG analysis program. A multinomial logistic regression model was used to calculate prevalence ratios (PRs) with 95% confidence intervals (CI) for each CACS category. RESULTS: In men, both NSSTTA and major ECG abnormalities were associated with all levels of CACS. The multivariable-adjusted PRs (95% CI) for CACS >400 comparing NSSTTA and major ECG abnormalities to the reference (neither NSSTTA nor major ECG abnormalities) were 1.88 (1.29-2.74) and 1.50 (1.18-1.91), respectively. Women with major ECG abnormalities were more likely to have a CACS of 101-400, the PRs (95% CI) comparing major ECG abnormalities to the reference group was 1.75 (1.18-2.57). NSSTTA were not associated with any CACS level in women. CONCLUSIONS: NSSTTA and major ECG abnormalities are associated with CAC in men, though NSSTTA were not associated with CAC in women, suggesting that NSSTTA should be considered sex-specific risk factors for coronary artery disease in men, but not in women.

Nonalcoholic fatty liver disease and risk of incident young-onset hypertension: Effect modification by sex.

BACKGROUND AND AIMS: Although nonalcoholic fatty liver disease (NAFLD) and hypertension are increasingly common among young adults, it is uncertain if NAFLD affects incidence of young-onset hypertension, and if the association is modified by sex. We investigated potential effect modification by sex on the association between NAFLD and incident hypertension in young adults (<40 years). METHOD AND RESULTS: This cohort study comprised 85,789 women and 67,553 men aged <40 years without hypertension at baseline. Hepatic steatosis was assessed by liver ultrasound and classified as mild or moderate/severe. Hypertension was defined as blood pressure (BP) ≥130/80 mmHg; self-reported history of physician-diagnosed hypertension; or current use of BP-lowering medications. Cox proportional hazard models were used to estimate hazard ratios (HRs; 95% confidence intervals [CIs]) for incident hypertension by NAFLD status (median follow-up 4.5 years). A total of 25,891 participants developed incident hypertension (incidence rates per 103 person-years: 15.6 for women and 63.5 for men). Multivariable-adjusted HRs (95% CIs) for incident hypertension comparing no NAFLD (reference) with mild or moderate/severe NAFLD were 1.68 (1.56-1.80) and 1.83 (1.60-2.09) for women and 1.21 (1.17-1.25) and 1.23 (1.17-1.30) for men, respectively. Stronger associations were consistently observed between NAFLD and incident hypertension in women, regardless of obesity/central obesity (all p-values for interaction by sex <0.001). CONCLUSIONS: NAFLD is a potential risk factor for young-onset hypertension with a relatively greater impact in women and in those with more severe hepatic steatosis.

Persistence or regression of prediabetes and coronary artery calcification among adults without diabetes.

OBJECTIVE: The effect of changes in glycemic status on subclinical atherosclerosis is uncertain. We assessed the association of persistence, regression, or progression of prediabetes with coronary artery calcium score (CACS) as a measure of subclinical atherosclerosis. DESIGN: A cross-sectional study, comprising 126 765 adults, and longitudinal sub-study, comprising 40 622 adults (with baseline and at least 1 follow-up computed tomography scan to assess changes in CACS), were undertaken. METHODS: Changes in glycemic status over 1.5 years (interquartile range, 1.0-2.0) before the first CACS assessment were categorized according to 6 groups: persistent normoglycemia (reference), normoglycemia to prediabetes, normoglycemia to diabetes, prediabetes to normoglycemia, persistent prediabetes, and prediabetes to diabetes. Logistic regression was used to calculate the odds ratios (ORs) and 95% CIs for prevalent coronary artery calcification (CAC). Mixed models with random intercepts and random slopes were used to estimate 5-year CAC progression rates. RESULTS: Mean (SD) age was 41.3 (7.0) years (74.7% male) (n = 126 765). Multivariable-adjusted OR for prevalent CAC was 1.13 (95% CI, 1.08-1.18) for persistent prediabetes, 1.05 (0.98-1.12) for regression to normoglycemia, and 1.46 (95% CI, 1.27-1.67) for progression from prediabetes to diabetes, compared with persistent normoglycemia. Coronary artery calcification progression increased significantly in all prediabetes groups. Multivariable-adjusted ratio of 5-year CAC progression rates was 1.19 (95% CI, 1.16-1.22) (persistent prediabetes), 1.11 (1.07-1.14) (regression to normoglycemia), and 1.63 (95% CI, 1.26-2.10) (progression from prediabetes to diabetes). CONCLUSIONS: Unfavorable changes in glycemic status, including persistence of prediabetes or progression to diabetes from prediabetes, were associated with increased risk of CAC.

Lipoprotein(a)-related cardiovascular and all-cause mortalities in Korean adults.

AIMS: There are inconsistent results on the association between lipoprotein(a) and mortality-related outcomes due to a lack of evidence from large-scale observational studies of Asians. This study aims to evaluate the effects of lipoprotein(a) on mortality-related outcomes in the Korean population. METHODS AND RESULTS: This cohort study included 275 430 individuals (mean age: 38 years; 50.1% men) enrolled in the Kangbuk Samsung Health Study between 2003 and 2016. The median follow-up period was 6.6 years. Cox proportional hazards analysis was used to estimate the adjusted hazard ratios (HRs) for evaluating mortality risk based on lipoprotein(a) levels and specific lipoprotein(a) categories. The median lipoprotein(a) value was 18.5 mg/dL, and the proportion of lipoprotein(a) ≥50 mg/dL was 12.8%. Multivariable Cox regression analysis showed that the group with lipoprotein(a) ≥50 mg/dL had a significantly increased risk of cardiovascular mortality (HR[95% CI]: 1.83[1.26, 2.64]) and all-cause mortality (1.20[1.03, 1.41]) than the group with lipoprotein(a) < 50 mg/dL without increased risk of cancer mortality (1.05[0.81, 1.34]). The relationship between lipoprotein(a) and cardiovascular mortality was significant regardless of low-density lipoprotein cholesterol. Specifically, lipoprotein(a) ≥100 mg/dL was associated with more than twice as increased a risk of cardiovascular mortality (2.45[1.12, 5.34]) than lipoprotein(a) < 10 mg/dL. In subgroup analyses, there was an interaction in the relationships between the two lipoprotein(a) categories and cardiovascular mortality for only high-density lipoprotein cholesterol. CONCLUSIONS: High lipoprotein(a) concentration is an independent predictor of cardiovascular mortality in the Korean population, regardless of low-density lipoprotein cholesterol levels.

Coronary artery calcium and risk of chronic kidney disease in young and middle-aged adults.

BACKGROUND: The role of the coronary artery calcium score (CACS) in incident chronic kidney disease (CKD) in asymptomatic young populations remains unclear. The aim of this study was to evaluate the association between CACSs and CKD development in adults. METHODS: A cohort study of 113 171 Korean adults (mean age 40.6 years) without CKD and proteinuria at baseline who underwent a cardiac tomography estimation of CACSs during health screening examinations was performed (median follow-up 4.2 years). The outcome was CKD, defined as an estimated glomerular filtration rate (eGFR) <60 ml/min/1.73 m2 and/or the presence of proteinuria. Hazard ratios (HRs) and 95% confidence intervals (CIs) for CKD were estimated using Cox proportional hazards regression analyses. RESULTS: A higher CACS was moderately associated with an increased risk of CKD in a dose-dependent manner. The multivariable-adjusted HRs for CKD comparing CACSs 1-100, 101-300 and >300 with a CACS of 0 were 1.15 (95% CI 1.05-1.25), 1.37 (95% CI 1.13-1.66) and 1.71 (95% CI 1.32-2.22), respectively (P for trend <.001). When CKD was defined using low eGFR and proteinuria separately, corresponding HRs for low eGFR were 1.31 (95% CI 1.05-1.62), 1.41 (95% CI 0.95-2.11) and 1.86 (95% CI 1.16-3.00), respectively (P for trend = .001), while the HRs for proteinuria were 1.11 (95% CI 1.02-1.21), 1.32 (95% CI 1.07-1.64) and 1.57 (95% CI 1.16-2.12), respectively. CONCLUSIONS: A higher CACS was progressively associated with an increased risk of CKD, even at low CACSs. Individuals with a CACS >0 appear to have an increased risk of CKD and may benefit from preventive measures to reduce CKD risk.

Age-stratified effects of coronary artery calcification on cardiovascular and non-cardiovascular mortality in Korean adults.

AIMS: The role of coronary artery calcium score (CACS) in predicting cardiovascular disease (CVD) and non-CVD mortality in young adults is unclear. We investigated the association of CACS with CVD and non-CVD mortality in young and older individuals. METHODS AND RESULTS: CVD-free Koreans (n = 160 821; mean age, 41.4 years; 73.2% young individuals aged <45 years) who underwent cardiac tomography estimation of CACS (69.7% one-time measurement), were followed-up for a median of 5.6 years. The vital status and cause of death were ascertained from the national death records. Sub-distribution hazard ratios (SHR) and 95% confidence intervals (CIs) for cause-specific mortality were estimated using the Fine and Gray proportional hazards models. Overall, a higher CACS was strongly associated with an increased risk of CVD mortality. Among young individuals, multivariable-adjusted SHR (95% CIs) for CVD mortality comparing a CACS of 1-100, 101-300, and >300 to 0 CACS were 5.67 (2.33-13.78), 22.34 (5.72-87.19), and 74.1 (18.98-239.3), respectively, and among older individuals, corresponding SHR were 1.51 (0.60-3.84), 8.57 (3.05-24.06), and 6.41 (1.98-20.74). The addition of CACS to Framingham risk score significantly but modestly improved risk prediction for CVD mortality in young individuals. Conversely, CACS was significantly associated with non-CVD mortality only in older individuals. CONCLUSIONS: Strong associations of CACS with CVD mortality, but not non-CVD mortality, were observed in young individuals, beginning in the low CACS category. Our findings reaffirm the need for early intervention for young adults even with low CACS to reduce CVD mortality.

High low-density lipoprotein cholesterol level is associated with an increased risk of incident early-onset vasomotor symptoms.

We investigated the associations between serum lipid profiles and risk of early-onset vasomotor symptoms (VMSs) in premenopausal women. This cohort study comprised 2,540 premenopausal women aged 42-52 years without VMSs at baseline (median follow-up: 4.4 years). VMSs, including hot flashes and night sweats, were assessed using the Menopause-Specific Quality of Life questionnaire (Korean version). Early-onset VMSs were defined as VMSs that occurred premenopause; moderate/severe VMSs were defined as a score of ≥ 3 points (range: 0 to 6, 6 being most bothersome). Cox proportional hazard regression models were used to estimate hazard ratios with 95% confidence intervals (CI) for the development of VMSs across the lipid levels. Higher low-density lipoprotein (LDL) cholesterol levels were positively associated with increased risk of early-onset VMSs. Compared to the < 100 mg/dL LDL group, the multivariable-adjusted hazard ratios (HRs) with 95% confidence intervals (CIs) for incident VMSs were 1.19 (1.03-1.37) and 1.20 (1.03-1.40) in participants with LDL cholesterol levels of 100-129 mg/dL and ≥ 130 mg/dL, respectively (P for trend = 0.027). The multivariable-adjusted HR for incident moderate/severe VMSs was 1.37 (95% CI: 1.08-1.73) in participants with LDL ≥ 130 mg/dL, compared to those with LDL < 100 mg/dL. Meanwhile, triglycerides and total and high-density lipoprotein cholesterol levels were not significantly associated with early-onset VMSs risk in premenopausal women. Premenopausal women with high serum LDL cholesterol concentrations had a higher risk of incident early-onset VMSs. Further studies should confirm our findings and examine whether LDL-lowering interventions reduce the risk of early-onset VMSs among women during menopause transition.

Low anti-Müllerian hormone levels are associated with an increased risk of incident early-onset vasomotor symptoms among premenopausal women.

The role of anti-Müllerian hormone (AMH) levels in incident vasomotor symptoms (VMS) is largely unknown. This study aimed to investigate the relationship between AMH levels and the development of early-onset VMS among premenopausal women. Our cohort study comprised 2041 premenopausal women aged 42-52 years free of VMS at baseline whose AMH levels were measured. VMS, including hot flushes and night sweats, were assessed using the Korean version of the Menopause-specific Quality of Life questionnaire. Early-onset VMS was defined as the occurrence of VMS prior to menopause. Parametric proportional hazards models were used to estimate adjusted hazard ratios (HRs) and 95% CI. During a median follow-up of 4.4 years, 708 premenopausal women developed early-onset VMS (incidence rate, 8.0 per 100 person-years). Lower AMH levels were statistically significantly associated with an increased risk of early-onset VMS. After adjusting for age and other confounders, multivariable-adjusted HRs (95% CI) for incident VMS comparing AMH quintiles 4-1 to the highest quintile were 1.02 (0.78-1.33), 1.37 (1.06-1.76), 1.36 (1.04-1.76), and 2.38 (1.84-3.08), respectively (P for trend < 0.001). Our results support an independent role of serum AMH levels in predicting incident early-onset VMS among premenopausal women in the late reproductive stage.

Nonalcoholic Fatty Liver Disease and Risk of Early-Onset Vasomotor Symptoms in Lean and Overweight Premenopausal Women.

The role of nonalcoholic fatty liver disease (NAFLD) in vasomotor symptom (VMS) risk in premenopausal women is unknown. We examined the prevalence of early-onset VMSs according to NAFLD status in lean and overweight premenopausal women. This cross-sectional study included 4242 premenopausal Korean women (mean age 45.4 years). VMSs (hot flashes and night sweats) were assessed using the Korean version of the Menopause-Specific Quality of Life questionnaire. Hepatic steatosis was determined using liver ultrasound; lean was defined as a body mass index of <23 kg/m2. Participants were categorized into four groups: NAFLD-free lean (reference), NAFLD-free overweight, lean NAFLD, and overweight NAFLD. Compared with the reference, the multivariable-adjusted prevalence ratios (PRs) (95% confidence intervals (CIs)) for VMSs in NAFLD-free overweight, lean NAFLD, and overweight NAFLD were 1.22 (1.06−1.41), 1.38 (1.06−1.79), and 1.49 (1.28−1.73), respectively. For moderate-to-severe VMSs, the multivariable-adjusted PRs (95% CIs) comparing NAFLD-free overweight, lean NAFLD, and overweight NAFLD to the reference were 1.38 (1.10−1.74), 1.73 (1.16−2.57), and 1.74 (1.37−2.21), respectively. NAFLD, even lean NAFLD, was significantly associated with an increased risk of prevalent early-onset VMSs and their severe forms among premenopausal women. Further studies are needed to determine the longitudinal association between NAFLD and VMS risk.

Alcohol Consumption Patterns and Risk of Early-Onset Vasomotor Symptoms in Premenopausal Women.

The role of alcohol consumption in the risk of vasomotor symptoms (VMS), the most cardinal climacteric symptoms, is not well established. We examined their relationship with early-onset VMS among premenopausal women. Moderately-to-severely bothersome VMS, the primary outcome, was assessed using the Korean version of the Menopause-Specific Quality of Life questionnaire. The alcohol consumption categories included lifetime abstainer, former drinker, or current drinker, categorized as light, moderate, heavy, and very heavy. Compared with the lifetime-abstinence (reference), the multivariable-adjusted odds ratio (95% CIs) for prevalent VMS in alcohol consumption of <10, 10−19, 20−39, and ≥40 g/day were 1.42 (1.02−1.99), 1.99 (1.27−3.12), 2.06 (1.19−3.57), and 3.52 (1.72−7.20), respectively (p trend <0.01). Compared with the lifetime-abstinence, the multivariable-adjusted hazard ratios (95% CIs) for incident bothersome VMS among average alcohol consumption of <10, 10−19, 20−39, and ≥40 g/day were 1.10 (0.85−1.41), 1.03 (0.70−1.51), 1.72 (1.06−2.78), and 2.22 (1.16−4.23), respectively (p trend = 0.02). Increased alcohol consumption positively and consistently showed a relationship with increased risk of both prevalent and incident early-onset VMS. Refraining from alcohol consumption may help prevent bothersome VMS in premenopausal women.

Prediabetes diagnosis is associated with the progression of coronary artery calcification: The Kangbuk Samsung Health Study.

AIM: To investigate the associations between prediabetes defined by different diagnostic criteria and coronary artery calcification (CAC) and its progression over time. MATERIALS AND METHODS: This cross-sectional study included 146 436 Korean adults without diabetes who underwent CAC estimation computed tomography (CT) during health examinations from 2011 to 2019. We used multinomial logistic regression models. The longitudinal study comprised 41 100 participants with at least one follow-up cardiac CT and annual CAC progression rates and ratios were estimated. Prediabetes was categorized into three groups: isolated glucose prediabetes (fasting blood glucose [FBG] 100-125 mg/dl, HbA1c < 5.7%), isolated HbA1c prediabetes (FBG < 100 mg/dl, HbA1c 5.7%-6.4%) and prediabetes meeting both FBG and HbA1c criteria (FBG 100-125 mg/dl, HbA1c 5.7%-6.4%). RESULTS: After adjusting for covariates, the prevalence ratios (95% CI) for CAC scores of more than 100 comparing isolated glucose prediabetes, isolated HbA1c prediabetes and prediabetes fulfilling both criteria with those of normoglycaemia were 1.12 (0.99-1.26), 1.24 (1.11-1.39) and 1.31 (1.18-1.45), respectively. The multivariable-adjusted ratio (CIs) of annual CAC progression rates comparing the corresponding groups with the normoglycaemia group were 1.031 (1.023-1.039), 1.025 (1.019-1.032) and 1.054 (1.047-1.062), respectively. CONCLUSIONS: CAC risk and CAC progression were consistently highest in individuals meeting both glucose and HbA1c criteria, while all three prediabetes types showed a significantly increased risk of CAC progression. Atherosclerosis risk reduction management is necessary for prediabetes, especially in patients meeting both criteria.

Association between metabolic syndrome and left ventricular geometric change including diastolic dysfunction.

BACKGROUND: We investigated the association between individual components of metabolic syndrome (MetS) and left ventricular (LV) geometric changes, including diastolic dysfunction, in a large cohort of healthy individuals. METHODS: Overall, 148 461 adults who underwent echocardiography during a health-screening program were enrolled. Geographic characteristics on echocardiography and several markers of LV relaxation function were identified according to individual MetS components. Univariate linear regression analysis and a multivariate regression model adjusted for factors known to influence LV relaxation function were conducted. RESULTS: The prevalence of LV diastolic dysfunction (LVDD) was higher in the MetS group than in the non-MetS group (0.56% vs. 0.27%, p < .001). In univariate and multivariate analyses, E/A ratio, e' velocity, and left atrial volume index were significantly associated with each component of MetS and covariates (all p ≤ .001). In the age- and sex-adjusted model, MetS was significantly associated with LVDD (odds ratio [95% confidence interval], 1.350 [1.103, 1.652]). However, subjects with more MetS components did not have a significantly higher risk of LVDD. As the analysis was stratified by sex, the multivariate regression model showed that MetS was significantly associated with LVDD only in men (1.3 [1.00, 1.68]) with higher risk in more MetS component (p for trend < .001). In particular, triglyceride (TG) and waist circumference (WC) among MetS components were significantly associated with LVDD in men. CONCLUSIONS: MetS was associated with the risk of LVDD, especially in men, with a dose-dependent association between an increasing number of components of MetS and LVDD. TG and WC were independent risk factors for LVDD in men.

Metabolically healthy and unhealthy obesity and risk of vasomotor symptoms in premenopausal women: cross-sectional and cohort studies.

OBJECTIVE: To examine the relationship between metabolically healthy and unhealthy obesity phenotypes and risk of vasomotor symptoms (VMS) in premenopausal women. DESIGN: Prospective cohort study. SETTING: Middle-aged women in a cohort based on regular health screening examinations. POPULATION: Premenopausal Korean women aged 42-52 years were recruited and were followed up for a median of 4.2 years. The cross-sectional and cohort studies comprised 4672 women and 2590 women without VMS at baseline, respectively. METHODS: Adiposity measures included body mass index (BMI), waist circumference and percentage body fat. Being metabolically healthy was defined as not having any metabolic syndrome components or a homeostasis model assessment of insulin resistance of 2.5 or more. MAIN OUTCOMES MEASURES: VMS (hot flushes and night sweats) assessed using the questionnaire. RESULTS: All adiposity measures were positively associated with an increased risk of VMS in both cross-sectional and longitudinal studies. The multivariable-adjusted prevalence ratio (95% confidence interval [CI]) for VMS comparing percentage body fat of 35% or more with the reference was 1.47 (95% CI 1.14-1.90) in metabolically healthy women, and the corresponding prevalence ratio was 2.32 (95% CI 1.42-3.78) in metabolically unhealthy women (Pinteraction  = 0.334). The multivariable-adjusted hazard ratio for incident VMS comparing percentage body fat of 35% or more with the reference was 1.34 (95% CI 1.00-1.79) in metabolically healthy women, whereas the corresponding hazard ratio was 3.61 (95% CI 1.81-7.20) in metabolically unhealthy women (Pinteraction  = 0.036). The association between BMI, waist circumference and VMS did not significantly differ by metabolic health status. CONCLUSIONS: Maintaining normal weight and being metabolically healthy may help to prevent VMS in premenopausal women. TWEETABLE ABSTRACT: Avoiding obesity and a metabolically unhealthy status may help reduce vasomotor symptoms in premenopausal women.

Ideal Cardiovascular Health Metrics and Risk of Incident Early-Onset Vasomotor Symptoms Among Premenopausal Women.

CONTEXT: The relationship of ideal cardiovascular health (CVH) behaviors with preventing early-onset vasomotor symptoms (VMSs) is unknown. OBJECTIVE: We investigated the association between CVH metrics and the development of early-onset VMSs in premenopausal women. METHODS: This cohort study included 2541 premenopausal women aged 42 to 52 years without VMSs at baseline. CVH metrics were defined according to the American Heart Association Life Simple 7 metrics. Owing to limited availability of dietary information, CVH metrics were scored from 0 (unhealthy) to 6 (healthy) and classified into 3 groups: poor (0-2), intermediate (3-4), and ideal (5-6) CVH. VMSs, including hot flashes and night sweats, were assessed using the Menopause-Specific Quality of Life questionnaire. Moderate/severe VMSs was defined as a score of 3 or more points (range, 0 to 6; 6 being most bothersome). RESULTS: During a median follow-up of 4.5 years, 1241 women developed VMSs before menopause. After adjustment for age, parity, education level, and alcohol consumption, the hazard ratio (HR) (95% CI) for developing early-onset VMSs comparing poor CVH group to the ideal group was 1.41 (1.07-1.86). CVH scores were also inversely associated with moderate/severe VMSs in a dose-response manner (P for trend = .004); specifically, multivariable-adjusted HRs comparing intermediate and poor CVH groups to the ideal group were 1.20 (95% CI, 1.02-1.43) and 1.57 (95% CI, 1.08-2.29), respectively. CONCLUSION: Unfavorable CVH metrics were significantly associated with an increased risk of early-onset VMSs and its more severe forms among premenopausal women.

Electrocardiogram Risk Score and Prevalence of Subclinical Atherosclerosis: A Cross-Sectional Study.

Integrated abnormal electrocardiogram (ECG) parameters predict the risk of cardiovascular disease (CVD); however, its relationship with subclinical CVD is unknown. We aimed to evaluate the association between the integrated ECG risk score and the prevalence of coronary artery calcium (CAC). A cross-sectional study comprised 134,802 participants with no known CVD who underwent ECG and CAC computed tomography. The ECG risk score was the sum of five ECG abnormalities: heart rate of >80 beats, QRS of >110 ms, left ventricular hypertrophy, T-wave inversion, and prolonged QTc. A multinomial regression model was used to estimate the prevalence ratios (PRs) and their 95% confidence intervals (CIs) for prevalent CAC. The prevalence of CAC progressively increased as the ECG risk score increased. After adjustment for conventional CVD risk factors and other confounders, the multivariable-adjusted PRs (95% CI) for a CAC of 1−100 in the 1, 2, and ≥3 ECG risk score groups were 1.06 (1.02−1.10), 1.12 (1.03−1.22), and 1.19 (1.00−1.42), respectively, while the corresponding PRs for a CAC of >100 were 1.03 (0.95−1.12), 1.44 (1.25−1.66), and 1.75 (1.33−2.29), respectively. Integrative ECG scoring may help identify individuals requiring lipid-lowering medications, even in young and asymptomatic populations.