scholarly journals Performa Klasifikasi K-NN dan Cross Validation Pada Data Pasien Pengidap Penyakit Jantung

2020 ◽  
Vol 12 (2) ◽  
pp. 81-86
Author(s):  
Huzain Azis ◽  
Purnawansyah Purnawansyah ◽  
Farniwati Fattah ◽  
Inggrianti Pratiwi Putri
Keyword(s):  
Heart Failure ◽  
Cardiovascular Disease ◽  
Cross Validation ◽  
University Hospital ◽  
Research Results ◽  
A Value ◽  
Cardiovascular Patient ◽  
Cardiovascular Patients ◽  
K 13 ◽  
F Measure

Globally, the number one cause of death each year is cardiovascular disease. Cardiovascular disease is a disease caused by impaired function of the heart and blood vessels, such as coronary heart disease, heart failure or heart failure, hypertension and stroke. The purpose of this study was to measure the performance of accuracy, precision, recall and f-measure of the K-NN and Crossvalidation methods on a dataset of cardiovascular patients. The dataset used was 1000 records consisting of 11 attributes (age, gender, height, etc.) cardiovascular and non cardiovascular patient data, the dataset was obtained from the UCI Machine Learning Repository managed by the Hungarian Institute of Cardiology Budapest: Andras Janosi, MD, University Hospital, Zurich, Switzerland. The steps taken are: dividing the simulation ratio of the dataset to 20:80, 50:50 and 80:20, applying crossvalidation (k-fold = 10) and classification using the K-NN method (k = 2 to K = 900). The research results from the simulation of the dataset ratio 50:50 obtained an accuracy value of 82%, 82% precision, 82% recall and 80% f-measure at a value of K = 13, then the research results from the simulation of the dataset ratio 20:80 obtained an accuracy value of 87%, 87% precision, 97% recall and 92% f-measure at the value of K = 3, and the results of research from the simulation of the dataset ratio 80:20 obtained an accuracy value of 91%, 92% precision, 60% recall and 72% f-measure at the value K = 5.

scholarly journals The Evolving Phenotypes of Cardiovascular Disease during COVID-19 Pandemic

2021 ◽  
Author(s):  
Michele Correale ◽  
Francesca Croella ◽  
Alessandra Leopizzi ◽  
Pietro Mazzeo ◽  
Lucia Tricarico ◽  
...  
Keyword(s):  
Heart Failure ◽  
Cardiovascular Disease ◽  
Acute Coronary Syndrome ◽  
New World ◽  
Therapeutic Options ◽  
Atrial Arrhythmias ◽  
Heart Failure Patients ◽  
Coronary Syndrome ◽  
Cardiovascular Patients

AbstractCOVID-19 pandemic has negatively impacted the management of patients with acute and chronic cardiovascular disease: acute coronary syndrome patients were often not timely reperfused, heart failure patients not adequately followed up and titrated, atrial arrhythmias not efficaciously treated and became chronic. New phenotypes of cardiovascular patients were more and more frequent during COVID-19 pandemic and are expected to be even more frequent in the next future in the new world shaped by the pandemic. We therefore aimed to briefly summarize the main changes in the phenotype of cardiovascular patients in the COVID-19 era, focusing on new clinical challenges and possible therapeutic options.

Exercise, cardiovascular disease, and chronic heart failure

2001 ◽  
Vol 82 (3B) ◽  
pp. 0s76-0s81 ◽  
Author(s):  
Reed Humphrey ◽  
Matthew N. Bartels
Keyword(s):  
Heart Failure ◽  
Cardiovascular Disease ◽  
Chronic Heart Failure

NT-PROBNP AND THE CUT-OFF VALUE IN CARDIOVASCULAR DISEASES

2011 ◽  
pp. 5-12
Author(s):  
Anh Tien Hoang ◽  
Van Minh Huynh ◽  
Khanh Hoang ◽  
Huu Dang Tran ◽  
Viet An Tran
Keyword(s):  
Heart Failure ◽  
Cardiovascular Disease ◽  
Pilot Study ◽  
Cardiovascular Diseases ◽  
Clinical Application ◽  
European Society ◽  
The Other ◽  
Cardiac Marker ◽  
Cardiac Biomarker ◽  
European Society Of Cardiology

NT-ProBNP is a high value cardiac biomarker and widely applies in many cardiovascular diseases. The evaluation of concentration of NT-ProBNP needs the concern about age, gender, obesity and especially we need each cut-off point for each cause of cardiovascular disease in evaluation and clinical application. Because NT-ProBNP is a new cardiac marker and has been researched in 5 recent years, the cut-off of NT-ProBNP is still being studied for the clinical application in cardiovascular diseases. Only the cut-off of NT-ProBNP in diagnosis heart failure was guided by European Society of Cardiology. The meaning of introduce cut-off value of value plays an role as pilot study for the other relate study and brings the NT-ProBNP closely approach to clinical application.

The effectiveness of a digital pelvic floor training program in thetreatment of urinary incontinence – a real-world evaluation (Preprint)

2019 ◽  
Author(s):  
Sabine Keim ◽  
Alexandra von Au ◽  
Lina Maria Matthies ◽  
Stephanie Wallwiener ◽  
Sarah Brugger ◽  
...  
Keyword(s):  
Urinary Incontinence ◽  
Pelvic Floor ◽  
University Hospital ◽  
First Line ◽  
First Line Therapy ◽  
A Value ◽  
Pelvic Floor Training ◽  
Significant Impairment ◽  
Pelvic Floor Weakness

BACKGROUND Background: Many women experience urinary incontinence (UI) during andafter pregnancy due to pelvic floor weakness. First-line therapy is conservative treatment, which nowadays can be facilitated by using digitalsolutions. OBJECTIVE The aim ofthe present study was to investigate the efficacy and effectiveness of pelvinain patients with existing UI. METHODS Methods: In the present observational study we analyzed the effectivenessof pelvina, a certified digital pelvic floor training course, in reducing UI symptoms by regularly applying “The Questionnaire for Urinary Incontinence Diagnosis” (QUID) and furthermore examining quality of life (QoL) by conducting the SF-6D. RESULTS Results: In this prospective study, 373 patients with a median age of 36 years (IQR 33 - 47 years) were included. At baseline the patients had a median QUID of 11 (IQR 11 - 15). During the course, incontinence improved significantly to a QUID of 5 (IQR 2 – 11; p<0.001). Additionally, the patients had also shown a significant impairment in their QoL at baseline with a value of 19 (IQR 16 - 22) in SF-6D. After completing the course, the QoL had risen to 24 (IQR 20 - 26). CONCLUSIONS Conclusion: Use of the certified digital pelvic floor course pelvinasignificantly reduces existing UI due to pelvic floor weakness over the timespan of the course. At the same time QoL is significantly improved. CLINICALTRIAL The present study was approved by the ethics committee of the Heidelberg University Hospital (S-392/2019)

scholarly journals Association of Lipoprotein (a) variants with risk of cardiovascular disease: a Mendelian randomization study

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Juan Xia ◽  
Chunyue Guo ◽  
Kuo Liu ◽  
Yunyi Xie ◽  
Han Cao ◽  
...  
Keyword(s):  
Heart Failure ◽  
Atrial Fibrillation ◽  
Cardiovascular Disease ◽  
Chinese Population ◽  
Left Ventricular Mass Index ◽  
Mendelian Randomization ◽  
Left Ventricular ◽  
Han Chinese ◽  
Han Chinese Population ◽  
Internal Dimension

Abstract Background There is a well-documented empirical relationship between lipoprotein (a) [Lp(a)] and cardiovascular disease (CVD); however, causal evidence, especially from the Chinese population, is lacking. Therefore, this study aims to estimate the causal association between variants in genes affecting Lp(a) concentrations and CVD in people of Han Chinese ethnicity. Methods Two-sample Mendelian randomization analysis was used to assess the causal effect of Lp(a) concentrations on the risk of CVD. Summary statistics for Lp(a) variants were obtained from 1256 individuals in the Cohort Study on Chronic Disease of Communities Natural Population in Beijing, Tianjin and Hebei. Data on associations between single-nucleotide polymorphisms (SNPs) and CVD were obtained from recently published genome-wide association studies. Results Thirteen SNPs associated with Lp(a) levels in the Han Chinese population were used as instrumental variables. Genetically elevated Lp(a) was inversely associated with the risk of atrial fibrillation [odds ratio (OR), 0.94; 95% confidence interval (95%CI), 0.901–0.987; P = 0.012)], the risk of arrhythmia (OR, 0.96; 95%CI, 0.941–0.990; P = 0.005), the left ventricular mass index (OR, 0.97; 95%CI, 0.949–1.000; P = 0.048), and the left ventricular internal dimension in diastole (OR, 0.97; 95%CI, 0.950–0.997; P = 0.028) according to the inverse-variance weighted method. No significant association was observed for congestive heart failure (OR, 0.99; 95% CI, 0.950–1.038; P = 0.766), ischemic stroke (OR, 1.01; 95%CI, 0.981–1.046; P = 0.422), and left ventricular internal dimension in systole (OR, 0.98; 95%CI, 0.960–1.009; P = 0.214). Conclusions This study provided evidence that genetically elevated Lp(a) was inversely associated with atrial fibrillation, arrhythmia, the left ventricular mass index and the left ventricular internal dimension in diastole, but not with congestive heart failure, ischemic stroke, and the left ventricular internal dimension in systole in the Han Chinese population. Further research is needed to identify the mechanism underlying these results and determine whether genetically elevated Lp(a) increases the risk of coronary heart disease or other CVD subtypes.

scholarly journals Long-term body mass index changes in overweight and obese adults and the risk of heart failure, cardiovascular disease and mortality: a cohort study of over 260,000 adults in the UK

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Barbara Iyen ◽  
Stephen Weng ◽  
Yana Vinogradova ◽  
Ralph K. Akyea ◽  
Nadeem Qureshi ◽  
...  
Keyword(s):  
Heart Failure ◽  
Cardiovascular Disease ◽  
Body Mass Index ◽  
Cohort Study ◽  
Body Mass ◽  
World Health ◽  
Obese Adults ◽  
Bmi Trajectories ◽  
The Impact

Abstract Background Although obesity is a well-recognised risk factor for cardiovascular disease (CVD), the impact of long-term body mass index (BMI) changes in overweight or obese adults, on the risk of heart failure, CVD and mortality has not been quantified. Methods This population-based cohort study used routine UK primary care electronic health data linked to secondary care and death-registry records. We identified adults who were overweight or obese, free from CVD and who had repeated BMI measures. Using group-based trajectory modelling, we examined the BMI trajectories of these individuals and then determined incidence rates of CVD, heart failure and mortality associated with the different trajectories. Cox-proportional hazards regression determined hazards ratios for incident outcomes. Results 264,230 individuals (mean age 49.5 years (SD 12.7) and mean BMI 33.8 kg/m2 (SD 6.1)) were followed-up for a median duration of 10.9 years. Four BMI trajectories were identified, corresponding at baseline, with World Health Organisation BMI classifications for overweight, class-1, class-2 and class-3 obesity respectively. In all four groups, there was a small, stable upwards trajectory in BMI (mean BMI increase of 1.06 kg/m2 (± 3.8)). Compared with overweight individuals, class-3 obese individuals had hazards ratios (HR) of 3.26 (95% CI 2.98–3.57) for heart failure, HR of 2.72 (2.58–2.87) for all-cause mortality and HR of 3.31 (2.84–3.86) for CVD-related mortality, after adjusting for baseline demographic and cardiovascular risk factors. Conclusion The majority of adults who are overweight or obese retain their degree of overweight or obesity over the long term. Individuals with stable severe obesity experience the worst heart failure, CVD and mortality outcomes. These findings highlight the high cardiovascular toll exacted by continuing failure to tackle obesity.

The Impact of Atherosclerotic Cardiovascular Risk on Graft Failure in Deceased-Donor Renal Transplantation

2021 ◽  
pp. 152692482110246
Author(s):  
Grace Hsu ◽  
Tracy M. Sparkes ◽  
Brent N. Reed ◽  
Stormi E. Gale ◽  
Brian E. Crossley ◽  
...  
Keyword(s):  
Heart Failure ◽  
Cardiovascular Disease ◽  
Cardiovascular Risk ◽  
Renal Transplant ◽  
Cardiovascular Events ◽  
Graft Failure ◽  
Deceased Donor ◽  
Low Risk ◽  
Major Adverse Cardiovascular Events ◽  
Atherosclerotic Cardiovascular Disease

Introduction: Pretransplant cardiovascular risk may be amplified after renal transplant, but little is known about its impact on graft outcomes. Research question: The purpose of this study was to determine if pretransplant cardiovascular risk was associated with graft outcomes. Design: This retrospective study included deceased-donor renal transplant recipients from 2010-2015. Atherosclerotic cardiovascular disease risk for patients without prior disease was calculated and patients were categorized into high (score >20%), intermediate (7.5-20%), and low risk (<7.5%). Patients with and without prior cardiovascular disease were also compared. The main endpoint was graft failure at 3-years post-transplant. Other outcomes included major adverse cardiovascular events, biopsy-proven rejection, and mortality. Results: In patients without prior atherosclerotic cardiovascular disease (N = 115), graft failure rates (4.5% vs 11.3% vs 12.5%; ( P = 0.64) and major adverse cardiovascular events (9.1% vs 13.2% vs 5.0%; P = 0.52) were similar in the high, intermediate, and low risk groups. In those with prior disease (N = 220), rates of primary nonfunction (6.8% vs 1.7%; P = 0.04), major adverse cardiovascular events (7.3% vs 2.6%; P = 0.01), and heart failure (10.9% vs 3.5%; P = 0.02) were higher than those without cardiovascular; rates of major adverse cardiovascular events and heart failure were insignificant after adjusting for age, gender, and race. Other outcomes were not different. Outcomes did not differ based on pretransplant cardiovascular risk. Discussion: Pretransplant atherosclerotic cardiovascular disease was associated with increased early graft failure but similar outcomes at 3-years, suggesting cardiac risk alone should not exclude transplantation.

scholarly journals Left ventricular systolic function decreases in lamin a/c cardiomyopathy wihout concomitant ventricular dilatation

2021 ◽  
Vol 22 (Supplement_1) ◽  
Author(s):  
ES Eystein Skjolsvik ◽  
OL Oyvind Haugen Lie ◽  
MC Monica Chivulescu ◽  
MR Margareth Ribe ◽  
AIC Anna Isotta Castrini ◽  
...  
Keyword(s):  
Heart Failure ◽  
Left Ventricular ◽  
University Hospital ◽  
Lv Function ◽  
Lamin A ◽  
Age Related ◽  
End Stage Heart Failure ◽  
Lv Volumes ◽  
End Stage

Abstract Funding Acknowledgements Type of funding sources: Foundation. Main funding source(s): This work was supported by the Norwegian Research Council [203489/030] onbehalf Department of Cardiology, Research group for genetic cardiac diseases and sudden cardiac death, Oslo University Hospital, Rikshospitalet, Oslo, Norwa Background Lamin A/C disease is an inheritable cardiomyopathy characterized by conduction abnormalities, ventricular arrhythmias and end stage heart failure with complete age-related penetrance. Purpose To assess left ventricular structural and functional progression in patients with lamin A/C cardiomyopathy. Methods We included and followed consecutive lamin A/C genotype positive patients with clinical examination and echocardiography at every visit. We evaluated progression of left- ventricular size and function by mixed model statistics. Results We included 101 consecutive lamin A/C genotype positive patients (age 44 [29-54] years, 39% probands, 51%female) with 576 echocardiographic exams during 4.9 (IQR 2.5-8.1) years of follow-up. LV ejection fraction (LVEF) declined from 50 ± 12% to 47 ± 13%, p &lt; 0.001 (rate -0.5%/year). LV end diastolic volumes (LVEDV) remained stationary with no significant dilatation in the total population (136 ± 45ml to 138 ± 43ml, p = 0.60), (Figure). In the subgroup of patients &gt;58 years, we observed a decline in LV volumes 148, SE 9 ml to 140, SE 9 ml p &lt; 0.001 (rate -2.7 ml/year) towards end stage heart failure. Conclusions LVEF deteriorated, while LV size remained unchanged during 4.9 years of follow-up in patients with lamin A/C cardiomyopathy. In patients &lt;58 years, we observed a reduction in LV volumes. These findings represent loss of LV function without the necessary compensatory dilation to preserve stroke volume indicating high risk of decompensated end stage heart failure in lamin A/C. Abstract Figure.

scholarly journals Nonparametric bootstrap inference for the targeted highly adaptive least absolute shrinkage and selection operator (LASSO) estimator

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Weixin Cai ◽  
Mark van der Laan
Keyword(s):  
Confidence Intervals ◽  
Nonparametric Estimation ◽  
Cross Validation ◽  
Data Distribution ◽  
Average Treatment Effect ◽  
Finite Sample ◽  
Nonparametric Bootstrap ◽  
A Value ◽  
Variation Norm ◽  
Selection Operator

AbstractThe Highly-Adaptive least absolute shrinkage and selection operator (LASSO) Targeted Minimum Loss Estimator (HAL-TMLE) is an efficient plug-in estimator of a pathwise differentiable parameter in a statistical model that at minimal (and possibly only) assumes that the sectional variation norm of the true nuisance functions (i.e., relevant part of data distribution) are finite. It relies on an initial estimator (HAL-MLE) of the nuisance functions by minimizing the empirical risk over the parameter space under the constraint that the sectional variation norm of the candidate functions are bounded by a constant, where this constant can be selected with cross-validation. In this article we establish that the nonparametric bootstrap for the HAL-TMLE, fixing the value of the sectional variation norm at a value larger or equal than the cross-validation selector, provides a consistent method for estimating the normal limit distribution of the HAL-TMLE. In order to optimize the finite sample coverage of the nonparametric bootstrap confidence intervals, we propose a selection method for this sectional variation norm that is based on running the nonparametric bootstrap for all values of the sectional variation norm larger than the one selected by cross-validation, and subsequently determining a value at which the width of the resulting confidence intervals reaches a plateau. We demonstrate our method for 1) nonparametric estimation of the average treatment effect when observing a covariate vector, binary treatment, and outcome, and for 2) nonparametric estimation of the integral of the square of the multivariate density of the data distribution. In addition, we also present simulation results for these two examples demonstrating the excellent finite sample coverage of bootstrap-based confidence intervals.

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