Impact of heart failure and left ventricular function on long-term survival - Report of a community-based cohort study in Taiwan

2007 ◽  
Vol 9 (6-7) ◽  
pp. 587-593 ◽  
Author(s):  
Chien-Hua Huang ◽  
Kuo-Liong Chien ◽  
Wen-Jone Chen ◽  
Fung-Chang Sung ◽  
Hsiu-Ching Hsu ◽  
...  
Keyword(s):  
Heart Failure ◽  
Cohort Study ◽  
Left Ventricular Function ◽  
Ventricular Function ◽  
Left Ventricular ◽  
Community Based ◽  
Term Survival ◽  
Long Term Survival

scholarly journals Aortic regurgitation: Long-term survival in patients with different degrees of left ventricular function undergoing surgical treatment

2003 ◽  
Vol 41 (6) ◽  
pp. 511
Author(s):  
Pablo Stutzbach ◽  
Stella Yala ◽  
Sol Garrido ◽  
José Abud ◽  
Eduardo Dulbecco ◽  
...  
Keyword(s):  
Surgical Treatment ◽  
Left Ventricular Function ◽  
Ventricular Function ◽  
Aortic Regurgitation ◽  
Left Ventricular ◽  
Term Survival ◽  
Long Term Survival

scholarly journals Long-term outcomes in patients with critical limb ischemia and heart failure with preserved or reduced ejection fraction

2017 ◽  
Vol 22 (4) ◽  
pp. 307-315 ◽  
Author(s):  
Kavita B Khaira ◽  
Ellen Brinza ◽  
Gagan D Singh ◽  
Ezra A Amsterdam ◽  
Stephen W Waldo ◽  
...  
Keyword(s):  
Heart Failure ◽  
Ejection Fraction ◽  
Critical Limb Ischemia ◽  
Limb Ischemia ◽  
Left Ventricular ◽  
Term Survival ◽  
Long Term Survival ◽  
Reduced Ejection Fraction ◽  
History Of

The impact of heart failure (HF) on long-term survival in patients with critical limb ischemia (CLI) has not been well described. Outcomes stratified by left ventricular ejection fraction (EF) are also unknown. A single center retrospective chart review was performed for patients who underwent treatment for CLI from 2006 to 2013. Baseline demographics, procedural data and outcomes were analyzed. HF diagnosis was based on appropriate signs and symptoms as well as results of non-invasive testing. Among 381 CLI patients, 120 (31%) had a history of HF and 261 (69%) had no history of heart failure (no-HF). Within the HF group, 74 (62%) had HF with preserved ejection fraction (HFpEF) and 46 (38%) had HF with reduced ejection fraction (HFrEF). The average EF for those with no-HF, HFpEF and HFrEF were 59±13% vs 56±9% vs 30±9%, respectively. The likelihood of having concomitant coronary artery disease (CAD) was lowest in the no-HF group (43%), higher in the HFpEF group (70%) and highest in the HFrEF group (83%) ( p=0.001). Five-year survival was on average twofold higher in the no-HF group (43%) compared to both the HFpEF (19%, p=0.001) and HFrEF groups (24%, p=0.001). Long-term survival rates did not differ between the two HF groups ( p=0.50). There was no difference in 5-year freedom from major amputation or freedom from major adverse limb events between the no-HF, HFpEF and HFrEF groups, respectively. Overall, the combination of CLI and HF is associated with poor 5-year survival, independent of the degree of left ventricular systolic dysfunction.

scholarly journals Predictors of Left Ventricular Function Improvement in Patients Prescribed Sacubitril/Valsartan in a Tertiary-Care Community-Based Heart Failure Cohort

2019 ◽  
Vol 25 (8) ◽  
pp. S150
Author(s):  
Vijay U. Rao ◽  
Varun Dobariya ◽  
Keem Patel ◽  
Kathy Kioussopoulos ◽  
Susan Nicoson ◽  
...  
Keyword(s):  
Heart Failure ◽  
Left Ventricular Function ◽  
Ventricular Function ◽  
Tertiary Care ◽  
Left Ventricular ◽  
Community Based ◽  
Care Community

scholarly journals Long-term, dose-dependent effects of spironolactone on left ventricular function and exercise tolerance in patients with chronic heart failure

2002 ◽  
Vol 40 (2) ◽  
pp. 304-310 ◽  
Author(s):  
Mariantonietta Cicoira ◽  
Luisa Zanolla ◽  
Andrea Rossi ◽  
Giorgio Golia ◽  
Lorenzo Franceschini ◽  
...  
Keyword(s):  
Heart Failure ◽  
Chronic Heart Failure ◽  
Left Ventricular Function ◽  
Ventricular Function ◽  
Exercise Tolerance ◽  
Left Ventricular ◽  
Dose Dependent

Abstract 17335: Cluster Analysis of Cardiac Resynchronization Response Parameters Predicts Long-Term Survival With Heart Failure

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Kenneth C Bilchick ◽  
Xu Gao ◽  
Derek Bivona ◽  
Rohit Malhotra ◽  
Michael Mangrum ◽  
...  
Keyword(s):  
Machine Learning ◽  
Heart Failure ◽  
Cluster Analysis ◽  
Patient Characteristics ◽  
Left Ventricular ◽  
Cardiac Resynchronization ◽  
Term Survival ◽  
Long Term Survival ◽  
Systolic Volume

Introduction: Machine learning methods such as cluster analysis can identify commonality in patterns of short-term response measures after cardiac resynchronization therapy (CRT) to predict classes of patients with distinct long-term prognoses. Hypothesis: Distinct response clusters identified within 6 months of CRT implantation would provide independent prognostic value relative to known pre-CRT patient characteristics. Methods: Patients with heart failure (HF) undergoing CRT had assessments of left ventricular end-systolic volume fractional change (LVESV-FC), peak VO 2 , and B-type natriuretic peptide (BNP) based on cardiac magnetic resonance (CMR), echocardiography, exercise testing, and blood tests before and 6 months after CRT. Statistical methods included multivariate multiple linear regression, cluster analysis based on a mixture model, survival analysis, and receiver operating characteristic (ROC) analysis. Results: During a median of 5.0 years of follow-up after CRT, the cohort of 146 patients (age 66.0 ± 11.3 years, 34.9% female) had a death rate of 28.1%. A significant correlation was observed for BNP response and LVESV-FC (r=0.42, p>0.01), but not for the other response comparisons. Three clusters of patients (1: n=27; 2: n=82; 3: n=37) were identified. Kaplan-Meier analysis (Figure) demonstrated the best long-term survival in cluster 2, intermediate survival in cluster 3, and the worst survival in cluster 1 (p<0.0001). ROC curve comparisons for 4-year survival based on pre-CRT findings with or without the 6-month response cluster showed that the cluster increased the AUC from 0.818 to 0.870 (p=0.069). Conclusions: Response clusters based on 6-month parameters were strongly associated with long-term survival and improved prognostication compared with just pre-CRT predictors alone. This response clustering approach based on machine learning promises to be very useful for clinical risk stratification in heart failure after CRT.

scholarly journals Epidemiology of heart failure in a community-based study of subjects aged ≥57 years: Incidence and long-term survival

2005 ◽  
Vol 8 (1) ◽  
pp. 23-30 ◽  
Author(s):  
Cornelia H.M. van Jaarsveld ◽  
Adelita V. Ranchor ◽  
Gertrudis I.J.M. Kempen ◽  
James C. Coyne ◽  
Dirk J. van Veldhuisen ◽  
...  
Keyword(s):  
Heart Failure ◽  
Community Based ◽  
Term Survival ◽  
Long Term Survival
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