Assessment of the Breast Density Prevalence in Swiss Women with a Deep Convolutional Neural Network: A Cross-Sectional Study.

Background/Objectives: High breast density is a risk factor for breast cancer and can reduce the sensitivity of mammography. Given the influence of breast density on patient risk stratification and screening accuracy, it is crucial to monitor the prevalence of extremely dense breasts within local populations. Moreover, there is a lack of comprehensive understanding regarding breast density prevalence in Switzerland. Therefore, this study aimed to determine the prevalence of breast density in a selected Swiss population. Methods: To overcome the potential variability in breast density classifications by human readers, this study utilized commercially available deep convolutional neural network breast classification software. A retrospective analysis of mammographic images of women aged 40 years and older was performed. Results: A total of 4698 mammograms from women (58 ± 11 years) were included in this study. The highest prevalence of breast density was in category C (heterogeneously dense), which was observed in 41.5% of the cases. This was followed by category B (scattered areas of fibroglandular tissue), which accounted for 22.5%. Conclusions: Notably, extremely dense breasts (category D) were significantly more common in younger women, with a prevalence of 34%. However, this rate dropped sharply to less than 10% in women over 55 years of age.

Single and joint impact of type 2 diabetes and of congestive heart failure on albuminuria: Data from subgroup analysis and data on moderate albuminuria.

We investigated 180 consecutive patients with congestive heart failure (CHF), of whom 83 had type 2 diabetes (T2DM) and 97 did not have diabetes as well as 223 controls without CHF, of whom 39 had T2DM and 184 did not have diabetes. Data was recorded by standardized interviews and by standardized examination protocols at our institution and were extracted from medical records. Here, we analyzed data on gender differences. Further, we examined the effect of CHF and T2DM on moderate albuminuria, i.e. on an albumin-creatinine ratio (ACR) of 30-300 mg/g. Table 1 shows baseline characteristics of our patients stratified by gender. Table 2 gives ACRs and prevalence rates of albuminuria separately for men and women. In logistic regression analyses adjusting for age, sex, body mass index, LDL cholesterol, history of smoking, history of hypertension, use of statins, ACE inhibitors/angiotensin II receptor blockers, aldosterone antagonists and other antihypertensive medication CHF and T2DM predicted the prevalence of albuminuria in a mutually independent manner in men (OR 4.93 [95% CI 1.76-13.85]; p = 0.002 and OR 2.38 [1.11-5.11]; p = 0.027, respectively), as well as in women (OR 5.66 [95% CI 1.76-18.20]; p = 0.004 and OR 3.53 [1.38-9.08]; p = 0.009, respectively). There was no significant interaction between gender and CHF or T2DM regarding the presence of albuminuria (p = 0.933 and 0.533, respectively), indicating that the association of CHF and T2DM with albuminuria did not differ significantly between men and women. In multivariate analysis of covariance, CHF and T2DM proved to be independent predictors of ACR in women after adjustment for age, sex, body mass index, LDL cholesterol, history of smoking, history of hypertension, use of statins, ACE inhibitors/angiotensin II receptor blockers, aldosterone antagonists and other antihypertensive medication (F = 5.38; p = 0.022 and F = 4.95; p = 0.028, respectively); for men the corresponding F-values were 2.70; p = 0.102 and 3.12; p = 0.079, respectively. There was no significant interaction between gender and CHF or T2DM regarding ACR (p = 0.464 and 0.202, respectively), indicating that the association of CHF and T2DM with the ACR did not differ significantly between men and women. Regarding moderate albuminuria, both CHF and T2DM predicted moderate albuminuria adjusted in a mutually independent manner after the adjustments described above, with ORs of 4.75 [95% CI 2.16-10.45]; p< 0.001 and OR 2.08 [1.13-3.83]; p=0.018, respectively. The data set presented here could be reused with similar patient cohorts for pooled analysis.

Occurrence of Rare Deletional Yus and Gerbich Alleles in Syria and Neighbouring Countries.

Background: Gerbich-negative phenotypes of the Gerbich Blood Group System (ISBT 020) are very rare (with the exception of Papua New Guinea). The Gerbich-negative phenotypes Yus and Gerbich are negative for the antigens Ge2, and Ge2 and Ge3, respectively. In antigen-negative individuals, anti-Ge2 and anti-Ge3 antibodies can be naturally occurring, or are triggered during pregnancies and after transfusions. Previous studies suggested an elevated frequency of Gerbich-negative phenotypes for the Middle East. In the summer of 2015, a large-scale migration of people from the Middle East to Europe occurred raising the issue of question how to guarantee blood supply for patients and manage antenatal care for pregnant women from these countries. Materials and Methods: To investigate the frequency of rare Gerbich-negative phenotypes, 1,665 immigrants to Germany originating from the Middle East were genetically tested for the presence of rare Yus, i.e., GE*01.-02, and Gerbich, i.e., GE*01-03, alleles and compared to results obtained from 507 Germans. Results: Seven Yus GE*01.-02.01 and one Gerbich GE*01.-03.02 alleles were exclusively observed among people from the Middle East, with five of them clustering among 797 Syrians. No such alleles were observed in Germans. A cumulative Yus- and GE*01.-03-type allele frequency of 0.00314 and resultant overall Gerbich-negative phenotype frequency of one among 101,633 Syrians were calculated. Conclusion: This manuscript describes for the first time an exclusively genetic screening for carriers of Gerbich-negative alleles. In conclusion, the Gerbich blood group system should be considered as one causative agent of unusual antibodies to red cell antigens, in routine patients and pregnant women, especially when originating from the Middle East.

Type 2 diabetes and the risk of cardiovascular events in peripheral artery disease versus coronary artery disease.

INTRODUCTION: The prevalence of type 2 diabetes mellitus (T2DM) is higher in peripheral artery disease (PAD) than in coronary artery disease (CAD) patients, and PAD overall confers higher cardiovascular risk than CAD. How cardiovascular risk compares between PAD and CAD patients when analyses are stratified by the presence of type 2 diabetes is unclear and is addressed in the present study. RESEARCH DESIGN AND METHODS: We prospectively recorded major cardiovascular events (MACE; ie, cardiovascular death, myocardial infarction or stroke) over 10.0±4.7 years in 923 patients with stable CAD, of whom 26.7% had T2DM and in 292 patients with PAD, of whom 42.1% had T2DM. Four groups were analyzed: CAD patients without diabetes (CAD/T2DM-; n=677), CAD patients with T2DM (CAD/T2DM+; n=246), PAD patients without diabetes (PAD/T2DM-; n=169) and PAD patients with T2DM (PAD/T2DM+; n=123). RESULTS: The event rate for MACE increased over our four investigated groups: it was lowest in CAD/T2DM- patients (2.52 events per 100 person-years). It was significantly higher in CAD/T2DM+ patients (3.96 events per 100 person-years; p<0.001), in PAD/T2DM- patients (3.68 events per 100 person-years; p=0.022), and in PAD/T2DM+ patients (7.10 events per 100 person-years; p<0.001), who in turn were at a higher risk than CAD/T2DM+ or PAD/T2DM- patients (p=0.001 and p<0.001, respectively). Cox regression analysis after multivariate adjustment showed that the presence of T2DM (HR=1.44 (95% CI 1.09 to 1.92); p=0.012) and the presence of PAD versus CAD (HR=1.48 (95% CI 1.15 to 1.91); p=0.002) were mutually independent predictors of cardiovascular events. CONCLUSIONS: In conclusion, our data show that T2DM as well as the presence of PAD versus CAD are mutually independent predictors of MACE. Patients with both PAD and T2DM are at an exceedingly high risk of cardiovascular events.

Single and joint impact of type 2 diabetes and of congestive heart failure on albuminuria.

AIMS: Albuminuria is a characteristic feature of diabetic nephropathy, and urine albumin excretion is also increased in patients with congestive heart failure (CHF). However, no data are available on the single and joint associations of type 2 diabetes mellitus (T2DM) and CHF with albuminuria. This issue was addressed in the present study. METHODS: We investigated 4 groups of patients: 180 patients with CHF, of whom 83 had T2DM (CHF+/T2DM+) and 97 did not have diabetes (CHF+/T2DM-) and 223 controls without CHF, of whom 39 had T2DM (CHF-/T2DM+) and 184 did not have diabetes (CHF-/T2DM-). RESULTS: The albumin-creatinine ratio (ACR) was 9.2 [5.7-16.9] mg/g in CHF-/T2DM- patients. Compared to this group it was higher in CHF-/T2DM+ patients (16.1 [7.7-27.8] mg/g; p = 0.004), in CHF+/T2DM- patients (22.0 [9.0-76.8] mg/g; p < 0.001) and in CHF+/T2DM+ patients (66.2 [16.0-177.0] mg/g; p < 0.001), in whom in turn it was higher than in CHF-/T2DM+ (p < 0.001) or in CHF+/T2DM- (p = 0.001) patients. The ACR did not differ significantly between CHF-/T2DM+ and CHF+/T2DM- patients (p = 0.188). In multivariate analysis of covariance, CHF and T2DM proved to be independent predictors of ACR after multivariate adjustment (F = 5.68; p = 0.018 and F = 4.79; p = 0.029, respectively). CONCLUSIONS: We conclude that T2DM and CHF are mutually independent determinants of albuminuria.

The LDL-C/ApoB ratio predicts major cardiovascular events in patients with established atherosclerotic cardiovascular disease.

BACKGROUND AND AIMS: The low density lipoprotein cholesterol to Apolipoprotein B (LDL-C/ApoB) ratio is a validated proxy for low density lipoprotein (LDL) particle size that can be easily calculated from a standard lipid/apolipoprotein profile. Whether it is predictive of cardiovascular events in patients with established atherosclerosis is not known and is addressed in the present investigation. METHODS: We determined the LDL-C/ApoB ratio in a cohort of 1687 subjects with established atherosclerosis. Prospectively, major cardiovascular events (MACE) including cardiovascular death, non-fatal myocardial infarction and non-fatal stroke were recorded over a period of 9.9 ± 4.6 years. The study covers >16,000 patient-years. RESULTS: At baseline, the LDL-C/ApoB ratio was 1.36 ± 0.28 in our cohort. During follow up, a total of 558 first MACE were recorded. The LDL-C/ApoB ratio predicted MACE in univariate Cox proportional hazard analysis (HR 0.90 [0.82-0.98]; p = 0.014); this finding was confirmed after adjustment for age, gender, intensity of statin treatment, hypertension, history of smoking, type 2 diabetes, body mass index and ApoB (HR 0.87 [0.78-0.97]; p = 0.013). CONCLUSIONS: The LDL-C/ApoB ratio is independently predictive of MACE in subjects with established atherosclerosis.

Type 2 diabetes mellitus is a strong predictor of LDL cholesterol target achievement in patients with peripheral artery disease.

BACKGROUND AND AIMS: Patients with peripheral artery disease (PAD) are at a very high risk of cardiovascular events and strongly benefit from lowering LDL cholesterol (LDL-C); updated European Society of Cardiology guidelines recommend an LDL-C target of at least <55 mg/dl for these patients. Whether the presence of type 2 diabetes (T2DM) affects LDL-C target achievement in PAD patients is unknown and is addressed in the present study. METHODS: We investigated an unselected consecutive series of 319 patients with sonographically proven PAD, of whom 136 (42.6%) had T2DM. RESULTS: The LDL-C target of <55 mg/dl was met by 8.1% of T2DM patients and by 2.2% of non-diabetic patients (p = 0.014); LDL-C was <70 mg/dl in 22.8% of patients with T2DM and in 9.8% of non-diabetic patients (p = 0.002). Logistic regression analysis showed that the presence of T2DM was an independent and strong predictor of LDL-C target achievement after multivariate adjustment including age, gender, potency adjusted statin use, BMI, smoking, hypertension and other lipid-modifying therapy for the <55 mg/dl target (OR 3.58 [1.08-11.90]; p = 0.038) as well as for the <70 mg/dl target (OR 2.78 [1.40-5.35]; p = 0.003). CONCLUSION: We conclude that T2DM is a strong and independent predictor of LDL-C target achievement among PAD patients; however, also among PAD patients with T2DM only a minority meets the current target of <55 mg/dl and most patients do not even have an LDL-C < 70 mg/dl.

Usefulness of Handgrip Strength to Predict Mortality in Patients With Coronary Artery Disease.

Handgrip strength (HGS) is a validated and simple technique to estimate skeletal muscular strength. Whether HGS is a predictor of overall mortality in patients with established coronary artery disease (CAD) is not known, this question is therefore addressed in the present study. We prospectively investigated a cohort of 691 patients with angiographically proven CAD. HGS was measured at baseline, and all-cause death as well as cardiovascular events was recorded over a period of up to 12 years. During a follow-up time of 9.2 ± 3.1 years, 31.3% (n = 216) of the study participants died. Further, 27.8% (n = 192) suffered major cardiovascular events and 56.6% (n = 391) any cardiovascular event. Cox proportional hazard model analysis showed a reduced mortality risk with higher HGS univariately (hazard ratio [HR] for each 5 kg increase in HGS 0.87 [95% confidence interval 0.82 to 0.92]; p <0.001), after adjustment for age and gender (HR 0.86 [0.79 to 0.94]; p = 0.001), and after further adjustment for conventional cardiovascular risk factors (HR 0.86 [0.79 to 0.94]; p = 0.001). Similarly, high HGS was protective of major cardiovascular events as well as of total cardiovascular events (HRs in the fully adjusted model 0.86 [0.78 to 0.94]; p = 0.002 and 0.89 [0.83 to 0.96]; p = 0.002, respectively). From these data, we conclude that HGS is an independent predictor of overall survival and of cardiovascular events in patients with CAD.

Marked differences in prediabetes- and diabetes-associated comorbidities between men and women-Epidemiological results from a general population-based cohort aged 6-80 years-The LEAD (Lung, hEart, sociAl, boDy) study.

BACKGROUND: Based on biological and behavioural diversity sex and gender may affect comorbidities associated with prediabetes and diabetes. Besides evaluating the prevalence of prediabetes and diabetes (using fasting plasma glucose and HbA1c levels), the primary aim of the study is to investigate sex and gender differences in the prevalence of comorbidities in subjects with prediabetes and diabetes and to identify possible risk factors associated with prediabetes and diabetes. DESIGN: This observational, population-based cohort study included 11.014 subjects aged 6-80 years. Examinations included blood samples, ankle-brachial index, ECG, dual-energy X-ray absorptiometry scan and an interviewer-administered questionnaire. RESULTS: Across all ages, prevalence of prediabetes was 20.2% (male 23.6%; female 17.1%), and 5.4% for diabetes (male 7.3%; female 3.7%). The prevalence of prediabetes ranged from 4.4% (6-<10 years) up to 40.4% (70+ years) in men and from 4.8% up to 42.3% in women. Comorbidity profile was markedly different between male and female, particularly in those with prediabetes: women more often suffered from arrhythmia, noncoronary artery disease, osteoporosis, increased systemic inflammatory biomarkers and depression, while men with prediabetes more often showed angina pectoris, myocardial infarction and media sclerosis. CONCLUSIONS: The unexpected 4.6% prevalence of prediabetes in children aged 6-10 underscores the need for population-based studies across all ages and the onset of prevention of diabetes at a young age. Marked differences have been found in comorbidities as men with prediabetes and diabetes more often suffer from cardiovascular disease, while women more often show arrhythmia, noncoronary artery disease, increased systemic inflammatory biomarkers and depression.