scholarly journals Neurohormonal and metabolic profile of heart failure in obese versus non-obese patients

2020 ◽  
Vol 4 (1) ◽  
pp. 16-21
Author(s):  
Koji Miyazaki ◽  
Takayuki Namba ◽  
Daihiko Hakuno ◽  
Takeshi Adachi
Keyword(s):  
Heart Failure ◽  
Metabolic Profile ◽  
Obese Patients

scholarly journals Weight loss early after discharge predicts the risk of rehospitalization in non-obese patients with heart failure preserved ejection fraction

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
K Kamisaka ◽  
K Kamiya ◽  
K Iwatsu ◽  
N Iritani ◽  
Y Iida ◽  
...  
Keyword(s):  
Heart Failure ◽  
Weight Loss ◽  
Regression Analysis ◽  
Ejection Fraction ◽  
Associated Factors ◽  
Clinical Characteristics ◽  
Obese Patients ◽  
Preserved Ejection Fraction ◽  
Kaplan Meier ◽  
Worse Prognosis

Abstract Background Weight loss (WL) has been considered as a prognostic factor in heart failure with reduced ejection fraction (HFrEF). However, the prognosis and associated factors of WL in heart failure with preserved ejection fraction (HFpEF) have remained unclear. Purpose This study aimed to examine the prevalence, prognosis, and clinical characteristics of worse prognosis based on the identified WL after discharge in HFpEF. Methods The study was conducted as a part of a multicenter cohort study (Flagship). The cohort study enrolled ambulatory HF who hospitalized due to acute HF or exacerbation of chronic HF. Patients with severe cognitive, psychological disorders or readmitted within 6-month after discharge were excluded in the study. WL was defined as ≥5% weight loss in 6-month after discharge and HFpEF was defined as left ventricular ejection fraction (LVEF) ≥50% at discharge. Age, gender, etiology, prior HF hospitalization, New York Heart Association (NYHA) class, brain natriuretic peptide (BNP) or N-terminal-proBNP (NT-proBNP), anemia (hemoglobin; male <13g/dL, female <12g/dL), serum albumin, Geriatric Depression Scale, hand grip strength and comorbidities were collected at discharge. Patients were stratified according to their body mass index (BMI) at discharge as non-obese (BMI <25) or obese (BMI ≥25). We analyzed the association between WL and HF rehospitalization from 6 month to 2 years after discharge using Kaplan-Meier curve analysis and Cox regression analysis adjusted for age and gender, and clinical characteristics associated to worse prognosis in WL using logistic regression analysis adjusted for potential confounders in HFpEF. Results A total of 619 patients with HFpEF were included in the analysis. The prevalence of WL was 12.9% in 482 non-obese and 15.3% in 137 obese patients. During 2 years, 72 patients were readmitted for HF (non-obese: 48, obese: 24). WL in non-obese independently associated with poor prognosis (hazard ratio: 2.2: 95% confidence interval: 1.13–4.25) after adjustment for age and sex, while WL in obese patients did not. Logistic regression analysis chose age (odds ratio 1.02 per 1 year; 1.00–1.05), anemia (2.14; 1.32–3.48), and BNP ≥200pg/mL or NT-proBNP ≥900pg/mL (1.83; 1.18–2.86) as independent associated factors for worse prognosis of WL in non-obese patients. Conclusion In HFpEF, WL in early after discharge in non-obese elderly patients may be a prognostic indicator for HF rehospitalization. HF management including WL prevention along with controlling anemia is likely to improve prognosis in this population. Kaplan Meier survival curves Funding Acknowledgement Type of funding source: Public grant(s) – National budget only. Main funding source(s): A Grant-in-Aid for Scientific Research (A) from the Japan Society for the Promotion of Science

Impact of obesity on the clinical outcomes of patients undergoing pacemaker insertion during hospitalization: An analysis of the United States National Inpatient Sample

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
M Almani ◽  
M Usman ◽  
M Qudrat Ullah ◽  
N Fatima ◽  
M Yousuf ◽  
...  
Keyword(s):  
Heart Failure ◽  
Odds Ratio ◽  
Primary Outcome ◽  
Decompensated Heart Failure ◽  
Obesity Paradox ◽  
Obese Patients ◽  
National Inpatient Sample ◽  
Inpatient Mortality ◽  
Secondary Outcomes ◽  
Pacemaker Insertion

Abstract Funding Acknowledgements Type of funding sources: None. 1. Introduction Obesity causes significant cardiovascular morbidity. Nonetheless, there is also evidence supporting obesity paradox particularly in heart failure patients. The impact of obesity on the outcomes of patients undergoing pacemaker insertion is not well studied. 2. Purpose The purpose of this study is to determine if obesity paradox exists for the patients who undergo pacemaker insertion. 3. Methods Data were extracted from the National Inpatient Sample (NIS) 2016 - 2018 Database. The NIS was searched for patients who underwent pacemaker insertion while hospitalized. The patients were divided into two groups based on presence or absence of obesity as secondary diagnosis using ICD-10 codes. The primary outcome was inpatient mortality. Multivariate logistic and linear regression analysis was used accordingly to adjust for confounders. STATA software was used to for analysis. 4. Results Of 408,040 patients who underwent pacemaker insertion, 64185 (15.7%) were obese. The adjusted odds ratio for inpatient mortality for obese patient undergoing pacemaker insertion compared to non-obese patients was 0.65 (95% CI 0.516 – 0.821, p < 0.001). Secondary outcomes are listed in table 1. 5. Conclusion Obese patients who underwent pacemaker insertion had lower inpatient mortality compared to non-obese patients. Also, obese patients undergoing pacemaker insertion were less likely to have cardiac arrest but they were more likely to develop decompensated heart failure and acute renal failure compared to non-obese patients. Outcome Without Obesity, % With Obesity, % aOR (95% CI) p-value* Primary outcome In hospital mortality 10.8 7.0 0.65 (0.516 - 0.821) <0.001* Secondary outcomes Length of stay (days), mean 5.7 6.3 0.031 (-0.105 - 0.168) # 0.654 Total hospital charges (US$), mean 121250 134757 720 (-2307 - 3747) # 0.641 Decompensated heart failure 13.3 19.2 1.53 (1.451 - 1.629) <0.001* Cardiogenic shock 2.3 2.7 1.00 (0.883 - 1.141) 0.954 IABP placement 0.5 0.6 0.98 (0.746 - 1.294) 0.898 Cardiac arrest 4.27 4.30 0.83 (0.753 - 0.920) <0.001* Acute renal failure 20.7 25.4 1.17 (1.112 - 1.231) <0.001* Abbreviations: *; statistically significant, #; adjusted mean difference, aOR: adjusted odds ratio, CI: confidence interval, IABP: Intra-aortic balloon pump.Adjusting factors: Age, race, Charlson comorbidity index, primary insurance, median household income for patient’s zip code, location and teaching status of the admitting hospital, dyslipidemia, chronic obstructive pulmonary disease, hypertension, peripheral vascular disease, diabetes mellitus, chronic kidney disease, liver disease and smoking status. Table 1: Clinical outcomes of hospitalizations for pacemaker insertion based on presence or absence of obesity, analysis of United States National Inpatient Sample from 2016 through 2018.

Diet and Exercise for Obese Patients With Heart Failure—Reply

JAMA ◽  
2016 ◽  
Vol 315 (23) ◽  
pp. 2619 ◽  
Author(s):  
Dalane W. Kitzman ◽  
Mark J. Haykowsky ◽  
William Kraus
Keyword(s):  
Heart Failure ◽  
Obese Patients ◽  
Diet And Exercise ◽  
Patients With Heart Failure

Abstract 3356: Does Severe Obesity Cause Progressive Impairment of Left Ventricular Systolic Function?

Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Theophilus Owan ◽  
Kimberly Morley ◽  
Travis G Ault ◽  
Ronny Jiji ◽  
Nathaniel Hall ◽  
...  
Keyword(s):  
Heart Failure ◽  
Systolic Function ◽  
Left Ventricular Systolic Function ◽  
Left Ventricular ◽  
Entire Group ◽  
Obese Patients ◽  
Cross Sectional ◽  
Increased Risk ◽  
Severely Obese ◽  
The Mean

Background: Obesity is associated with an increased risk of developing heart failure. Based on cross sectional studies, it has been hypothesized that the duration of obesity is the key factor leading to impaired cardiac function. However, longitudinal data to confirm this hypothesis are not available. Methods: We prospectively studied 62 severely obese patients at baseline, 2 and 5 years after randomization to nonsurgical therapy (NonSurg, n = 25) or Rouxen-Y gastric bypass surgery (GBS, n = 37). Echocardiography was used to measure left ventricular (LV) size and ejection fraction (EF). Results: At enrollment, the mean BMI was 46±9 and the mean age was 47±11 years (range 25– 66). GBS subjects lost 96± 26 vs. 6±18 lbs at 2 years and 78±42 vs. 17±42 lbs at 5 years compared to NonSurg (p<0.0001 for both). At baseline LVEF was not different between GBS and nonsurg (67±9 vs. 64±8%) and it did not change at 2 years (64±9 vs. 63±9%) or 5 years (63±9 vs. 63±10%). LV diastolic dimension did not change over time in control (4.3±1.0 vs. 4.2±0.6 vs. 4.5±0.3) or GBS patients (4.4±0.6 vs. 4.3±0.7 vs. 4.4±0.4). Stratifying the entire group by quartiles of age or duration of obesity (quartile 1 avg duration = 16 years, quartile 4 average duration = 56 years), we found no evidence of time-dependent changes in LV size or function. Conclusion: In this, prospective study of severely obese patients we found no evidence of progressive changes in LV size or EF over a period of 5 years. Moreover, we find no relationship between age or duration of obesity and LV size or LVEF. These data argue strongly that other factors such as the development of coronary disease are the most likely causes of heart failure in obese patients.

Abstract 12368: Impact of Weight Trends on Long-term Outcomes After Atrial Fibrillation Ablation in Obese Patients

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
T J Bunch ◽  
Heidi T May ◽  
Tami L Bair ◽  
Victoria Jacobs ◽  
Brian G Crandall ◽  
...  
Keyword(s):  
Heart Failure ◽  
Atrial Fibrillation ◽  
Weight Loss ◽  
Catheter Ablation ◽  
Obese Patients ◽  
Long Term Outcomes ◽  
Sustained Weight Loss ◽  
Index Weight ◽  
Af Recurrence

Introduction: Catheter ablation of atrial fibrillation (AF) is an established therapeutic rhythm approach in symptomatic patients. Obesity is a dominant driver of AF recurrence after ablation. Weight reduction strategies lower general AF burden and as such may be critical to long-term success rates after ablation. Hypothesis: Long-term outcomes after AF ablation will be better in obese patients with sustained weight loss. Methods: All patients that underwent an index ablation with a BMI recorded and >30 kg/m 2 and at least 3 years of follow-up were included (n=407). The group was separated and compared by weight trends over the 3 years (1. Lost >3% of index weight, n=141; 2. Maintained index weight ±3%, n=147; 3. Gained >3% of index weight at 3 years, n=119). Long-term outcomes included AF recurrence and a composite defined as major adverse clinical events, MACE (stroke/TIA, heart failure (HF) hospitalization, and death). Results: The average age was 63.6±10.4 years, 59.3% were male and 51.7% had paroxysmal AF. AF comorbidities include: hypertension (79.5%), heart failure (36.0%), sleep apnea (35.2%), diabetes (28.9%), and stroke/TIA (5.9%). Those that maintained their weight (HR: 1.45, p=0.05) and those that gained weight (HR 1.54, p=0.07) were more likely to have AF recurrence compared to those that lost weight. Similarly, MACE increased from 18.4% in those that lost weight at 3 years compared to 18.6% (HR 1.32, p=0.29) in those that maintained their weight and 26.5% in those that gained weight (HR 2.01, p=0.02). A small group of patients (n=5), lost >3% then gained it back and ultimately increased their weight by 3%. This group had the highest rates of AF recurrence (100%). Conclusion: Maintained weight loss is a critical component in reducing AF recurrence rates after index catheter ablation in obese patients. Sustained weight loss also results in a reduction in AF-related comorbidities and mortality.

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