bluuebunny/crossref_metadata_2025_split huggingface dataset:
P5288Slice position vulnerability in the basal and apical parts for right ventricular circumferential strain measurement with feature tracking cardiac magnetic resonance
Authors: Gleditsch J , Jervan O , Geier O , Tofteberg A , Ghanima W , Hopp E 
Published: October 2019

Abstract

Background
Strain is a more sensitive and precise parameter than ejection fraction (EF) for detection and characterization of subclinical left ventricular (LV) dysfunction and remodeling. Similar relationship is expected for right ventricle (RV); however RV functional parameters are less validated. Feature tracking strain analysis based on standard cardiac magnetic resonance (CMR) cine imaging is available for both ventricles. We experience a large slice-to-slice variation for RV global circumferential strain (GCS), possibly making the parameter vulnerable to minute position changes.

Purpose
To evaluate slice-to-slice differences in RV GCS for identification of the least variation region in a patient group without regional RV disease, in order to achieve a robust method for measurement.

Hypothesis
The slice-to-slice difference in peak GCS is lower in the mid-ventricular part of the RV than in the basal and apical parts.

Methods
50 patients 6–72 months after pulmonary embolism without other major cardiopulmonary disease were included; mean age 60 years (range: 18–75 years); 68% men.
Standard 2D cine CMR was obtained in longitudinal planes and in 10–12 consecutive 10 mm short axis planes for complete coverage of the RV. RV free wall and the inner contour of the septum were manually segmented on every end-diastolic and end-systolic slice from the pulmonary valve to the apex for feature tracking strain analysis.
Peak RV GCS for every short axis slice and GCS difference (absolute percentage points) between adjacent slices were calculated. RV EF and peak RV GLS from the 4-chamber image were measured for correlation to RV GCS. Wilcoxon signed rank test and Pearson correlation were performed. Confidence intervals of means are based on 1000 bootstrap samples.

Results
RV EF was 46.6% (95% CI: 44.3; 48.8), RV peak GLS was −17.6% (95% CI: −18.6; −16.6). RV mid-ventricular GCS was −10.9% (95% CI: −12.0; −9.9). RV peak GCS slice-to-slice difference was 6.8 absolute percentage points (95% CI: 6.0; 7.6) in the basal part, 2.7 (95% CI: 2.4; 3.0) in the mid-ventricular part and 4.6 (95% CI: 3.9; 5.3) apically. Difference was significantly lower in mid-ventricular (p<0.001) compared to both basal and apical.
RV EF correlated to RV peak GLS (r: −0.397, p=0.004) and mid-ventricular peak GCS (r: −0.356, p=0.01) but not to basal or apical peak GCS. RV peak GLS correlated to basal and mid-ventricular peak GCS (r: 0.313, p=0.03 and r: 0.301, p=0.03 respectively) but not to apical peak GCS.
Figure 1 shows slice-to-slice difference (expressed in absolute percentage points) in right ventricular peak GCS.

Conclusion
Slice-to-slice difference in RV peak GCS was significantly lower in the mid-ventricular region. Large differences in the basal and apical parts indicate that measurements largely depend on slice positioning.
P5298Influence of the changes in body fat on all-cause and cardiovascular mortality in a general population: a report from Ansan-Ansung cohort in the Korean genome environment study
Authors: Lee Y , Park H C , Shin J H , Lim Y H , Park J K , Shin J , Kim K S , Kim B K 
Published: October 2019

Abstract

Background
Paradoxical beneficial effects of obesity on all-cause and cardiovascular mortality have been reported in multiple cohort studies based on patients with cardiovascular disease as well as general populations. However, the association between the presence of obesity at baseline and the better survival rates could not be directly interpreted into the beneficial effect of gain in obesity or fatness on the mortality, which makes it difficult to provide any recommendation for the management of obesity. Therefore, we investigated the influence of the changes in body fat on all-cause and cardiovascular mortality in a general population.

Methods
A population-based cohort study has been conducted for 12 years (from 2001 to 2012). A total of 5,259 subjects in whom body compositions using a bio-impedance method were measured at least 2 times during the observational period were included. The causes of death was identified from the nation-wide database in KOSTAT. I20-I82 and R99 in the International Classification of Disease-10 codes were defined as a cardiovascular death. The subjects were evenly divided into 3 groups by the percentages of the changes in body fat (Δ%BF; decreased [Δ%BF <0.0%] vs. increased [Δ%BF 0.0–13.7%] vs. highly increased [Δ%BF ≥13.7%]). Inverse probability of treatment weighting was applied to balance the covariate differences among the groups.

Results
The age was 51.2±8.5 years and 51.6% was male. Median observation duration was 163 (the interquartile range: 157–168) months. The all-cause death and cardiovascular death occurred most frequently in the decreased Δ%BF group and least frequent in the highly increased Δ%BF group in both unweighted and weighted cohort. Multivariate Cox proportional hazard models showed that the risk of all-cause death was lower in the increased and highly increased Δ%BF groups (hazard ratio [HR] 0.61 [0.47–0.80] and 0.24 [0.17–0.34], respectively) and the risk of cardiovascular death was lower in the highly increased Δ%BF group (HR 0.20 [0.08–0.48]), compared to those in the decreased Δ%BF group after adjustment for all covariates including physical activities and the changes in muscle mass. The risk of all-cause death and cardiovascular death linearly decreased with increasing Δ%BF (HR 0.72 [0.67–0.77] and 0.70 [0.60–0.82], respectively).

Conclusion
The increase in body fat is associated with a lower risk of all-cause death and cardiovascular death in a middle-age general population, independently with physical activities and the changes in muscle mass.
P5299Epicardial obesity as a significant predictor of leptino and insulin resistance
Authors: Ott A , Chumakova G A 
Published: October 2019

Abstract

Leptino (LR) and insulin resistance (IR) are significant predictors of atherosclerosis, thrombosis, type 2 diabetes. The effect of epicardial obesity (EO) (as a type of visceral obesity) on the formation of LR and IR is studied.

Objective
To study the effect of EO on the formation of LR and IR among men with arterial hypertension (AH).

Materials and methods
The study included 130 men 49.5±4.3 years old, with AH of 1–3 degrees and the absence of clinical manifestations of coronary heart disease and atherosclerosis of other localizations, type 2 diabetes with a BMI of 20–35 kg /m2 and abdominal obesity according to WC ≥94 cm. Patients were divided into two groups depending on the thickness of epicardial adipose tissue (EAT), measured behind the free wall of the right ventricle by echocardiography. Group 1 consisted of 60 patients with epicardial obesity (EAT ≥7 mm), group 2 included 70 patients without epicardial obesity (EAT <7 mm). All subjects assessed indicators of LR and IR: measured levels of serum leptin (SL), soluble receptors for leptin (SLR), free leptin index (FLI), calculated as the ratio SL/SLR (as the only currently existing marker LR); IR was estimated by calculating the HOMA-IR index. IR was diagnosed with the generally accepted HOMA-IR index >2.7.

Results
When comparing LR indices in the studied groups, higher average values of SL, FLI were observed in the group with EO (EAT ≥7 mm) than in the group without EO (EAT <7 mm): (SL = 32.16 ng/ml (26.7; 37.62) versus SL = 14.92 ng/ml (11.62; 18.22), p=0.01, respectively); (FLI = 1.67 (0.47; 2.87) versus FLI = 0.37 (0.28; 0.46), p=0.01, respectively). Also in the EO group, higher indices of the HOMA-IR index were observed compared with the group without EO: (2.16 (1.62; 2.66) versus 1.35 (1.06; 1.64), p=0,01, respectively). When conducting the correlation analysis between FLI (as a marker of LR) and various obesity indicators (BMI, WC, EO) in the studied groups, a significant positive correlation relationship between FLI and EO was found in both the first and second groups (r=0.67, p=0.01; r=0.62, p=0.01, respectively). The IR index HOMA-IR also significantly positively correlated with EO in the group with a EAT ≥7 mm (r=0.68, p=0.01). BMI and WC did not correlate with FLI, IR in both groups 1 and 2 (p>0.05). In the EO group, 11 patients had IR with a HOMA-IR index >2.7. Using the linear regression analysis, the regression equation was obtained and the value of EO was calculated, from which the IR with HOMA-IR >2.7 started to be determined. This figure was 9.5 mm.

Conclusions
EO (EAT ≥7 mm) is a significant predictor of LR and IR, unlike the generally accepted criteria for obesity (BMI, WC). A EAT ≥9.5 mm can be a significant predictor of the development of type 2 diabetes, so these patients need additional examinations.
P5304Adipose tissue surrounding the kidney and its impact on coronary artery disease
Authors: Maimaituxun G , Fukuda D.A.I.J.U , Yagi S , Takao S , Yamada H , Soeki T , Wakatsuki T , Harada M , Sata M , Shimabukuro M 
Published: October 2019

Abstract

Background
Growing evidence suggests that visceral adipose tissue has systemic and local impact for the development of cardiovascular disease. Previously, we reported that epicardial adipose tissue, as one of visceral fat, was a risk factor for the development of coronary artery disease (CAD). However, the association between another visceral adiposity kidney fat and CAD remains unclear.

Purpose
In this study we aimed to clarify whether there exists link between adipose tissue surrounding the kidney and CAD among patients.

Method
The study population consisted of 201 consecutive patients who underwent 320-slice multi-detector computed tomography (MDCT) coronary angiography. Study subjects were divided into the CAD (≥1 coronary artery stenosis of ≥50%) and non-CAD groups. Adipose tissue surrounding the kidney were quantified by the computed tomography and peri-renal fat volumetric measurements were performed on axial views by manually placing the Region of Interest (ROI) on the renal fascia. The peri-renal fat area of each slice was summed and multiplied by the slice thickness and number of slices to determine the total peri-renal fat volume. Adipose tissue was determined as the density range was −190 to −30 Hounsfield unit. Peri-renal fat volume were indexed by body surface area (BSA).

Results
The mean age was higher in CAD group than those in non-CAD (66±11 vs. 71±10 years, p=0.005). The diabetes, hypertension and hyperlipidemia were significantly prevalent in CAD comparing to non-CAD group. BSA adjusted Peri-renal fat volume was significantly larger in CAD than those in non-CAD (43±27 vs. 60±39 ml/m2). Linear regression analysis showed that BSA adjusted peri-renal fat volume was significantly correlated with visceral fat area (VFA) (R=0.729, p<0.001). Multiple regression analysis for estimating CAD showed that BSA adjusted peri-renal fat volume was a predictor of CAD after adjusting for confounding factors which including age, gender, body mass index, smoking, hypertension, hyperlipidemia, diabetes and VFA (Adjusted R2=0.201, p<0.001); In addition, in the above traditional risk factors model even when the VFA was replaced by the eGFR<60 ml/min/1.73m2, the BSA adjusted peri-renal fat volume still keep a significance for predicting the CAD in the multivariate analysis (Adjusted R2=0.198, p<0.001).

Conclusion
Peri-renal fat volume might be a predictor of CAD. Kidney fat at least partially may contributes to the development of CAD by impaired kidney function.
P5307A consumer-direct digital health intervention for cardiovascular risk management in primary care: the Consumer Navigation of Electronic Cardiovascular Tools (CONNECT) randomised controlled trial
Authors: Redfern J , Usherwood T , Coorey G , Mulley J , Scaria A , Neubeck L , Hafiz N , Chow C , Peiris D 
Published: October 2019

Abstract

Background
Digital health interventions linked to electronic health records offer patients an innovative approach to support cardiovascular disease (CVD) risk management.

Purpose
Test the effectiveness of a consumer-directed digital health strategy on medication adherence and cardiovascular health outcomes in patients presenting to primary care who are at moderate to high risk of CVD.

Methods
Randomised controlled trial (RCT) with 12 month follow-up. Intervention group received an interactive digital health strategy for CVD management. The intervention was integrated with patient's electronic health record to enable automated population of risk factor and medication data (Figure). Control group received usual care. Primary outcome was the proportion of patients taking guideline-recommended BP and cholesterol-lowering medications on at least 80% of days (administrative data). Secondary outcomes included mean SBP, LDL-cholesterol, BMI and proportion meeting risk targets for physical activity, achieving smoking cessation, quality of life (EQ5D) and ehealth literacy (eHEALS).

Results
Intervention (n=486) and control (n=448) groups were well matched at baseline (Table). Mean age of participants was 67±8.1 years, 77% were male, 41% had existing CVD. At 12 months, there was no significant difference between the groups for medication days covered or mean cholesterol and BP (Table). However, there were significantly more patients in the intervention than control group who were physically active and had high ehealth literacy (Table).
Table 1. Primary and Secondary Outcomes Baseline 12 months Outcome Control (n=448) Intervention (n=486) Control (n=431) Intervention (n=460) p value* Taking BP and cholesterol medication on ≥80% of days, % 29.7 28.9 29.9 32.8 0.485 SBP (mmHg), mean±SD 139.0±16.6 137.3±15.9 136.3±16.1 136.4±17.6 0.921 LDL (mmol/L), mean±SD 2.6±1.0 2.6±1.0 2.5±0.9 2.4±1.0 0.240 BMI (kg/m2), mean±SD 29.7±5.1 29.9±5.7 29.4±5.0 29.7±5.7 0.508 Proportion achieving BP and LDL target, % 11.2 12.3 11.7 16.5 0.065 Physically active, % 84.0 85.4 79.7 87.0 0.016 Current smoker, % 12.9 13.0 12.0 8.1 0.087 eHEALS, mean±SD 27.0±6.4 27.0±6.4 26.4±7.5 28.3±6.3 0.002 *Comparing intervention and control at 12 month follow-up.

Conclusions
The integrated digital health strategy did not significantly impact on days of medication covered however, patients in the intervention had higher physical activity and ehealth literacy. The RCT highlights the importance of conducting robust research if we are to understand the potential value of digital health interventions.

Acknowledgement/Funding
This work was supported by a Project Grant from the National Health and Medical Research Council of Australia
P5309Age and gender distributions of coronary artery calcium in the Dutch adult population: preliminary results of the ImaLife study
Authors: Xia C , Rook M , Pelgrim G J , Van Bolhuis J N , Van Ooijen P M A , Vonder M , Oudkerk M , De Bock G H , Van Der Harst P , Vliegenthart R 
Published: October 2019

Abstract

Background
Coronary artery calcium (CAC) scoring is a promising tool for cardiovascular risk classification. Population-based reference values are important for the clinical interpretation of CAC scores.

Purpose
To establish standards of CAC distributions by age and gender in an unselected Dutch population, which can be used to determine reference values.

Methods
ImaLife (Imaging in Lifelines) is a computed tomography (CT) based substudy of the Lifelines cohort, with a primary aim to establish reference values of imaging biomarkers for early stages of coronary artery disease in adults (above 45 years old). In total, 12,000 participants will be enrolled from an unselected adult population in the northern Netherlands for CAC scoring with third generation dual-source CT. CAC is quantified with dedicated commercial software using the Agatston method.

Results
Included so far were 3,702 participants (57.5% females, mean age 54 years, range 45–82 years). CAC was present in 39.2% of participants, with a higher prevalence of CAC in men (55.3%) than in women (27.3%). CAC scores increased with increasing age in both genders. The percentiles of CAC scores by age and gender groups are summarized in the table.
Agatston CAC score percentiles by age and gender Percentiles Women – Age, years Men – Age, years 45–49 50–54 55–59 60–64 65∼ 45–49 50–54 55–59 60–64 65∼ N 505 634 719 260 10 355 473 543 185 18 25th 0 0 0 0 0 0 0 0 1 75 50th 0 0 0 0 4 0 1 6 22 556 75th 0 0 6 33 386 6 21 72 129 751 90th 4 26 77 120 1037 49 154 242 500 1803

Conclusion
This preliminary result presents CAC distribution by age and gender in a middle-aged unselected Dutch population. Compared with the Heinz Nixdorf Recall study, CAC scores in our cohort for both genders were lower in the 5-year age groups between 45 and 64 years. Based on the overall data, expected within 2 years, reference values of CAC for the Dutch population can be established.
P5310College students under stress have elevated cardiovascular risk factors associated to eating disorders
Authors: Saraiva J F K , Bellodi A C , Enumo S R , Machado W L , Fonseca H A , Saraiva D B , Avezum A 
Published: October 2019

Abstract

Background
High prevalence of cardiovascular diseases in the global adult population refers to the need for prevention. Tracking phenomenon studies have inferred that since childhood, risk and protection factors can be identified, thus supporting public health policies.

Purpose
To evaluate the prevalence of stress and the cardiovascular risk factor in Brazilian students.

Methods
A cross-sectional study was carried out in our city with 3,471 students, both sexes, from 7 to 13 years old, 51.7% of whom were non-Caucasian, aiming to analyze 31 variables: a) biological markers for cardiovascular risk (weight, height, waist circumference, systolic blood pressure, diastolic blood pressure, heart rate, HDL cholesterol, LDL cholesterol, total cholesterol, triglycerides, use of medications); b) health-related behavioural variables (ingestion of fruits, vegetables, meats, fish, dairy products, sweets, sugary drinks, fast food, snacks, lunch at home or at school, daily study hours, physical activity at school and out of school, means of transport to go to school, screen time); c) emotional variables (perceived stress at school and at home); d) socio-demographic data (sex, age, ethnicity). Data were collected in schools and tabulated; Network analysis considered 16 composite variables.

Results
A total of 17.5% of obesity and 16.2% of overweight verified at the studied population. Children and adolescents, under stress, are shown to have higher cholesterol levels, followed by increased use of medications or supplements, and increased physical activity, higher ratios for boys and non-white ethnicity individuals. Eating lunch provided by the school and being a female served as a protective factor for cardiovascular risk.

Conclusion
Considering the already known impact of stress on children's physical and psychological development and cardiovascular risk, it is urgent to establish public policies aimed at preventing these conditions, which have been severely perceived in very young, non-white and resident of a periphery of metropolises individuals.
P5313The association between coffee and caffeine consumption and renal function: insight from individual-level data, Mendelian randomization, and meta-analysis
Authors: Mazidi M , Mikhailidis D P , Dehghan A , Jozwiak J , Rysz J , Willet W C , Covic A , Sattar N , Banach M 
Published: October 2019

Abstract

Background
The reported relationship between coffee intake and renal function is poorly understood.

Purpose
By applying on two-sample Mendelian randomization (MR) and systematic review and meta-analysis we investigated the association between caffeine and coffee intake with prevalent CKD and markers of renal function.

Methods
For the individual data analysis we analysed the NHANES data on renal function markers and caffeine intake. MR was implemented by using summary-level data from genome-wide association studies conducted on coffee intake (N=91,462) and kidney function (N=133,413). Inverse variance weighted method (IVW), weighted median-based method, MR-Egger, MR-RAPS, MR-PRESSO were applied. Random effects models and generic inverse variance methods were used for the meta-analysis.

Results
Finally, we included the data of 18,436 participants, 6.9% had prevalent CKD (based on eGFR). Caffeine intake for general population was 131.1±1.1 mg. The % of pts. with CKD, by caffeine quartile was 16.6% in Q1 (lowest), 13.9% in Q2, 12.2% in Q3 and 11.0% in Q4 (p<0.001). After adjustment, for increasing quartiles for caffeine consumption, mean urine albumin, albumin-creatinine ratio and eGFR did not change significantly (p>0.234). In fully adjusted logistic regression models, there was no significant difference in chances of CKD prevalence (p-trend=0.745) (Table). In the same line, results of MR showed no impact of coffee intake on CKD (IVW=β: −0.0191, SE: 0.069, p=0.781) (Figure), on eGFR (overall= IVW= β: −0.0005, SE: 0.005, p=0.926) both in diabetic (IVW= β: −0.006, SE: 0.009, p=0.478), and non-diabetic patients (IVW= β: −6.772, SE: 0.006, p=0.991). Results from the meta-analysis indicted that coffee consumption was not significantly associated with CKD (OR: 0.85, 95% CI 0.71–1.02, p=0.090, n=6 studies, I2=0.32). These findings were robust in sensitivity analyses.
Levels of CKD markers across caffeine Qs Characteristics Quartiles of Caffeine p-value First Second Third Fourth Number of participants (n) 4609 4611 4608 4608 Log Urine Albumin (mg/L) 2.20±0.02 2.16±0.02 2.19±0.02 2.17±0.02 0.239 Serum Creatinine (mg/dL) 0.89±0.003 0.90±0.004 0.91±0.002 0.88±0.003 0.234 Log ACR (mg/g) 2.14±0.02 2.10±0.02 2.11±0.02 2.16±0.02 0.352 eGFR (ml/min/1.73m2) 91.2±0.7 92.8±0.4 90.2±0.5 89.6±0.3 0.415
MR on the impact of coffee intake on CKD

Conclusions
By implementing on different strategies we have highlighted no significant association between coffee consumption with renal function and chance of CKD.

Acknowledgement/Funding
None