scholarly journals Cohort profile: follow-up of a Berlin Aging Study II (BASE-II) subsample as part of the GendAge study

BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e045576
Author(s):  
Ilja Demuth ◽  
Verena Banszerus ◽  
Johanna Drewelies ◽  
Sandra Düzel ◽  
Ute Seeland ◽  
...  
Keyword(s):  
Gender Differences ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Sex And Gender ◽  
Ventricular Ejection Fraction ◽  
Intermediate Phenotypes ◽  
Aging Study ◽  
And Gender ◽  
Sex And Gender Differences

PurposeThe study ‘Sex- and gender-sensitive prevention of cardiovascular and metabolic disease in older adults in Germany’, the GendAge study, focuses on major risk factors for cardiovascular and metabolic diseases and on the development of major outcomes from intermediate phenotypes in the context of sex and gender differences. It is based on a follow-up examination of a subsample (older group) of the Berlin Aging Study II (BASE-II).ParticipantsThe GendAge study assessments took place between 22 June 2018 and 10 March 2020. A total of 1100 participants (older BASE-II subsample, aged ≥65 years) with baseline data assessed at least by one of the BASE-II partner sites were investigated in the follow-up. These participants had a mean age of 75.6 years (SD ±3.8), with a mean follow-up at 7.4 years (SD ±1.5).Findings to dateData from different domains such as internal medicine, geriatrics, immunology and psychology were collected, with a focus on cardiometabolic diseases and in the context of sex and gender differences. Diabetes mellitus type 2 was reported by 15.6% and 8.6% of men and women, respectively. In contrast, this disease was diagnosed in 20.7% of men and 13.3% of women, indicating that a substantial proportion of almost 30% was unaware of the disease. Echocardiography revealed that left ventricular ejection fraction was higher in women than in men, in agreement with previous reports.Future plansA gender questionnaire assessing sociocultural aspects implemented as part of the follow-up described here will allow to calculate a gender score and its evaluation based on the newly collected data. At the same time, the other BASE-II research foci established over the past 10 years will be continued and strengthened by the BASE-II transition into a longitudinal study with follow-up data on the older subsample.Trial registration numberDRKS00016157.

scholarly journals Cohort Profile Update: GendAge and Berlin Aging Study II (BASE-II)

2020 ◽  
Author(s):  
Ilja Demuth ◽  
Verena Banszerus ◽  
Johanna Drewelies ◽  
Sandra Duezel ◽  
Ute Seeland ◽  
...  
Keyword(s):  
Metabolic Diseases ◽  
Sex And Gender ◽  
Biological Sex ◽  
Intermediate Phenotypes ◽  
Aging Study ◽  
Gender Characteristics ◽  
And Gender ◽  
Adult Volunteers ◽  
Sex And Gender Differences

The study Sex- and gender-sensitive prevention of cardiovascular and metabolic disease in older adults in Germany, the GendAge study, focusses on major risk factors for cardiovascular and metabolic diseases and on the development of major outcomes from intermediate phenotypes in the context of biological sex and gender differences. It is based on a re-investigation of participants of the Berlin Aging Study II (BASE-II). The Berlin Aging Study II (BASE-II) is aiming at identifying factors that distinguish healthy from unhealthy ageing and completed baseline assessments in 2,200 adult volunteers (1,600 participants aged 60-80 years and 600 participants aged 20-35 years) in 2014. The BASE-II follow-up assessments of 1,100 men and women aged 65-94 years in 2018-2020 were part of GendAge. In addition to re-assessing most baseline measures (geriatrics, internal medicine, immunology and psychology) we implemented a comprehensive gender questionnaire covering socio-cultural gender characteristics and added high-quality echocardiography.

Sex and Gender Differences

2012 ◽  
Vol 220 (2) ◽  
pp. 57-60 ◽  
Author(s):  
Markus Hausmann ◽  
Barbara Schober
Keyword(s):  
Gender Differences ◽  
Sex And Gender ◽  
And Gender ◽  
Sex And Gender Differences

Peak Oxygen Consumption and Resting Left Ventricular Ejection Fraction Changes After Cardiomyoplasty at 6-Month Follow-up

Circulation ◽  
1995 ◽  
Vol 92 (9) ◽  
pp. 216-222 ◽  
Author(s):  
Edimar Alcides Bocchi ◽  
Guilherme Veiga Guimarães ◽  
Luiz Felipe P. Moreira ◽  
Fernando Bacal ◽  
Alvaro Vilela de Moraes ◽  
...  
Keyword(s):  
Oxygen Consumption ◽  
Left Ventricular Ejection Fraction ◽  
Ejection Fraction ◽  
Left Ventricular ◽  
Ventricular Ejection ◽  
Peak Oxygen Consumption ◽  
Left Ventricular Ejection ◽  
Ventricular Ejection Fraction

scholarly journals Biomarkers-based personalized follow-up in chronic heart failure improves patient’s outcomes and reduces care associate cost

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Antonio Leon-Justel ◽  
Jose I. Morgado Garcia-Polavieja ◽  
Ana Isabel Alvarez-Rios ◽  
Francisco Jose Caro Fernandez ◽  
Pedro Agustin Pajaro Merino ◽  
...  
Keyword(s):  
Heart Failure ◽  
Hospital Admissions ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Secondary Outcome ◽  
Ventricular Ejection Fraction ◽  
Number Of Patients ◽  
Ed Visits ◽  
The Impact

Abstract Background Heart failure (HF) is a major and growing medical and economic problem, with high prevalence and incidence rates worldwide. Cardiac Biomarker is emerging as a novel tool for improving management of patients with HF with a reduced left ventricular ejection fraction (HFrEF). Methods This is a before and after interventional study, that assesses the impact of a personalized follow-up procedure for HF on patient’s outcomes and care associated cost, based on a clinical model of risk stratification and personalized management according to that risk. A total of 192 patients were enrolled and studied before the intervention and again after the intervention. The primary objective was the rate of readmissions, due to a HF. Secondary outcome compared the rate of ED visits and quality of life improvement assessed by the number of patients who had reduced NYHA score. A cost-analysis was also performed on these data. Results Admission rates significantly decreased by 19.8% after the intervention (from 30.2 to 10.4), the total hospital admissions were reduced by 32 (from 78 to 46) and the total length of stay was reduced by 7 days (from 15 to 9 days). The rate of ED visits was reduced by 44% (from 64 to 20). Thirty-one percent of patients had an improved functional class score after the intervention, whereas only 7.8% got worse. The overall cost saving associated with the intervention was € 72,769 per patient (from € 201,189 to € 128,420) and €139,717.65 for the whole group over 1 year. Conclusions A personalized follow-up of HF patients led to important outcome benefits and resulted in cost savings, mainly due to the reduction of patient hospitalization readmissions and a significant reduction of care-associated costs, suggesting that greater attention should be given to this high-risk cohort to minimize the risk of hospitalization readmissions.

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