Abstract 206: An Obesity Paradox in Acute Decompensated Heart Failure

2014 ◽  
Vol 34 (suppl_1) ◽  
Author(s):  
Mahdi Khoshchehreh ◽  
Shaista Malik

Background: Prior studies on heart failure (HF) have shown that body mass index (BMI) is inversely associated with mortality. The aim of this study was to investigate the impact of morbid obesity (BMI > 40 kg/m2) on in-hospital mortality in patients presenting with Acute decompensated heart failure (ADHF). Methods: The Nationwide Inpatient Sample of the Healthcare Cost and Utilization Project was analyzed for acute HF hospitalizations across the United States. A total number of 966,167 hospitalized patients with ADHF in 2009 were reviewed. Results: Morbidly obese patients constituted 13.4% of all patients with ADHF. Analysis of the unadjusted data revealed that morbidly obese patients compared with those not morbidly obese were less likely to die during hospitalization (OR 0.55, %95CI 0.53-0.57, P<0.0001). Cox proportional hazards regression was used to estimate the overall probability of in-hospital death with adjustments for age, sex, race, Elixhauser comorbidities, primary payer, hospital location, hospital teaching status, hospital bed-size, and total hospital admissions. The adjusted hazard of in-hospital death (HR 0.87, p< <.0001) indicates that there was statistically significant difference in the risk of in-hospital death associated with being morbidly obese. Conclusions: In this cohort of hospitalized patients with ADHF, higher BMI was associated with lower in-hospital mortality risk. The relationship between BMI and adverse outcomes in HF appears to be complex and consistent with the phenomenon of the “obesity paradox.”

Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Shin Kawasoe ◽  
Takuro Kubozono ◽  
Hiroyuki Torii ◽  
Tsuyoshi Yamaguchi ◽  
Masaaki Miyata ◽  
...  

Background: The blood glucose (BG) concentration (BG≧140 mg/dL) at hospitalization is reported to be the short-term prognostic predictor in patients with acute myocardial infarction. However, it’s significance in patients with acute decompensated heart failure (ADHF) has not been elucidated. Purpose: To evaluate the prognostic power of BG levels at hospitalization in the patients with ADHF. Methods: We analyzed consecutive 517 ADHF patients admitted from January 2007 to December 2013. They were divided into the high BG group (H-BG: BG≧140 mg/dL, n=215) and the low BG group (L-BG: BG<140 mg/dL, n=302) by BG levels in an emergency room. Echocardiographic findings, laboratory data and in-hospital mortality were analyzed. Results: In 517 ADHF patients, the mean age, BG levels at hospitalization, left ventricular ejection fraction (LVEF) and B-type natriuretic peptide (BNP) were 79.7±11.8 years, 153.0±75.2 mg/dL, 52.2±15.8% and 831.5±787.9 pg/mL, respectively. There were no significant differences in age, LVEF and BNP level between H-BG and L-BG groups. The mortality rate in H-BG group was significantly higher than that in L-BG group (17.0% vs 8.1%, p=0.0081). In diabetic ADHF patients (n=138), there was no significant difference in the in-hospital mortality rate between H-BG (n=100) and L-BG (n=38) groups (13.2% vs 24.4%, p=0.1116). However, in non-diabetic ADHF patients (n=379), the in-hospital mortality rate was significantly higher in H-BG (n=115) group compared to L-BG (n=264) group (21.2% vs 5.6%, p<0.0001), and the logistic regression analysis revealed that the BG level at hospitalization could predict the in-hospital death (p=0.0381). The Kaplan-Meier survival curve demonstrated poorer prognosis in H-BG group compared to L-BG group in non-diabetic ADHF patients (Figure, p<0.0001). Conclusion: The BG concentration at hospitalization is a significant predictor of in-hospital death in ADHF patients without diabetes, but not with diabetes.


2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
M Almani ◽  
M Usman ◽  
M Qudrat Ullah ◽  
N Fatima ◽  
M Yousuf ◽  
...  

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 &lt; 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) &lt;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) &lt;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) &lt;0.001* Acute renal failure 20.7 25.4 1.17 (1.112 - 1.231) &lt;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.


Author(s):  
Benedetta De Berardinis ◽  
Hanna K. Gaggin ◽  
Laura Magrini ◽  
Arianna Belcher ◽  
Benedetta Zancla ◽  
...  

AbstractIn order to predict the occurrence of worsening renal function (WRF) and of WRF plus in-hospital death, 101 emergency department (ED) patients with acute decompensated heart failure (ADHF) were evaluated with testing for amino-terminal pro-B-type natriuretic peptide (NT-proBNP), BNP, sST2, and neutrophil gelatinase associated lipocalin (NGAL).In a prospective international study, biomarkers were collected at the time of admission; the occurrence of subsequent in hospital WRF was evaluated.In total 26% of patients developed WRF. Compared to patients without WRF, those with WRF had a longer in-hospital length of stay (LOS) (mean LOS 13.1±13.4 days vs. 4.8±3.7 days, p<0.001) and higher in-hospital mortality [6/26 (23%) vs. 2/75 (2.6%), p<0.001]. Among the biomarkers assessed, baseline NT-proBNP (4846 vs. 3024 pg/mL; p=0.04), BNP (609 vs. 435 pg/mL; p=0.05) and NGAL (234 vs. 174 pg/mL; p=0.05) were each higher in those who developed WRF. In logistic regression, the combination of elevated natriuretic peptide and NGAL were additively predictive for WRF (OR: In ED patients with ADHF, the combination of NT-proBNP or BNP plus NGAL at presentation may be useful to predict impending WRF (Clinicaltrials.gov NCT#0150153).


Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Corey A Kalbaugh ◽  
Patricia P Chang ◽  
Kunihiro Matsushita ◽  
Sunil K Agarwal ◽  
Melissa Caughey ◽  
...  

Introduction: There has been little focus on hospitalized acute decompensated heart failure (ADHF) that develops after admission, which may occur because of comorbid conditions, over-administration of fluid or post-surgical complications. Aims: To compare patient characteristics, case fatality, and hospital length of stay (LOS) associated with ADHF that develops after hospital admission as compared to those with ADHF at admission. Methods: Hospitalizations with possible ADHF were sampled, based on HF ICD codes, among those aged > 55 years from the four communities of the Atherosclerosis Risk in Communities Study (2005-2010). Medical records were abstracted with events classified by physician panel or computer classified. Case fatality was obtained through the National Death Index. We identified 4,503 (unweighted) events with definite/probable ADHF, after excluding those with unknown time of decompensation (n=81), hospital transfers (n=102), and race other than black or white (n=118). Demographic and clinical characteristics were compared by ADHF onset (at/after admission). Logistic regression was used to evaluate the association of ADHF onset with in-hospital mortality, and 28-days and one-year mortality, adjusted for demographics and comorbidity. Linear regression was used to evaluate the association of ADHF onset with log-transformed hospital LOS, adjusted for demographics. All analyses were weighted to account for the stratified sampling design. Results: Of 21,052 (weighted) ADHF events, 7.4% (n=1561) developed ADHF after admission. Patients with ADHF occurring after admission were older (mean: 79 vs. 75 years), and more likely white and female. Those with ADHF at admission were more likely to have a positive smoking history, COPD, and to be on dialysis. Presence of diabetes, hypertension and coronary artery disease were not significantly different between groups. In hospital mortality (16.5% vs. 6.3%; OR= 2.7, 95% CI=1.9-3.8) and 28-day mortality (23.9% vs. 10.1%; OR= 2.4, 95% CI=1.7-3.4) was higher among those who developed ADHF after admission. One-year case fatality was similar (39.4% vs. 33.6%; OR= 1.2, 95% CI=0.9-1.6). Unadjusted mean LOS was longer for those with ADHF occurring after admission (12.8 days, 95% CI=11.8-13.8) than those with ADHF at admission (7.2 days, 95% CI=6.8-7.6). The adjusted and geometric mean LOS was 1.3 days (95% CI=1.2-1.4) longer for those who developed ADHF after admission. Conclusion: Although patients with ADHF onset after admission were slightly older, differences in comorbidity do not indicate an easily identifiable subgroup for closer in-hospital monitoring. Development of ADHF after admission was associated with an alarmingly high early case fatality and longer hospital LOS compared to those with ADHF at hospital admission.


Circulation ◽  
2016 ◽  
Vol 133 (suppl_1) ◽  
Author(s):  
Ravinder Valadri ◽  
Namrata Singhania ◽  
Deborah Deborah ◽  
Richard English ◽  
LeYu Naing ◽  
...  

Background: Recent study demonstrated paradoxical relationship between body mass Index (BMI) and all cause mortality in patients with acute decompensated heart Failure (ADHF), where higher BMI was associated with decreased mortality. We sought to test whether this relationship exists between BMI and ADHF readmissions Methods: Consecutive patients presented to the emergency department from March 2014 to July 2015 with the diagnosis of ADHF were analyzed in a retrospective cohort study. Cohort was grouped in to prespecified BMI categories; normal weight (BMI <26 Kg/m2 ), Over weight (BMI 25-30 Kg/m2 ) and Obese (BMI >30 Kg/m2 and above). Primary endpoints were incidence of 30 day ADHF readmission and time to first ADHF readmission from the index hospitalization. Patients with end stage COPD on home O2, cirrhosis and end stage renal failure on dialysis were excluded. Unplanned hospitalizations due to other cause than ADHF were excluded. ADHF hospitalizations were adjudicated by an independent blinded clinician Results: Cohort (N=188) consisted 51(27.1%) normal weight, 61 (32.4%) over weight and 76 (40.4%) obese patients. Females were 63% (N=119), patients with heart failure with preserved ejection fraction were 47% (N=90), Obese [BMI 31(28-38) Kg/m2; Median (IQR)] patients were younger (median age; 77 years vs 83 years; P=0.002), whereas other covariates were similar between groups. In median follow up of 1.2 years, total 30 day ADHF readmissions were 32 and total ADHF admissions were 214. Incidence of both 30 day and total ADHF readmissions were similar in all 3 BMI categories; ANOVA P=0.18 (30 day ADHF readmissions) and P= 0.62 (total ADHF readmissions). Obesity was neither associated with risk for 30 day readmission; OR=0.64 (CI: 0.20 - 2.0; P= 0.45) nor with the time to first ADHF readmission from the index hospitalization; log rank P=0.5 (Figure 1) Conclusions: Higher BMI is not protective against ADHF readmissions in patients with ADHF. Further studies are needed in larger data sets to validate our findings.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
Y.A Aikawa ◽  
T.N Noguchi ◽  
I.M Morii

Abstract Background Delirium is frequent in-hospital complication in patients with illness. However, the clinical impact of delirium on cardiovascular mortality has not been fully addressed in patients with acute decompensated heart failure (ADHF). Methods Between April 2016 and May 2019, 474 consecutive patients with ADHF admitted to our institution were enrolled and followed for 6 months after discharge. Delirium was defined according to the Intensive Care Delirium Checklist. To compare the clinical outcome, we divided study patients into 3 groups according to the presence or absence of delirium: non-delirium (ND) (n=349), improved-delirium during hospitalization (ID) (n=68), and prolonged delirium (PD) (n=57). Results One hundred twenty-five (26.4%) patients developed delirium. During hospitalization, PD had higher incidence of all-cause death, cardiovascular death, and worsening heart failure compared with ND and ID (20.0% vs. 3.7% and 2.9%, 10.9% vs. 2.5% and 1.4%, 21.8% vs. 2.5% and 4.3%, p&lt;0.001, respectively). Multivariable analysis identified the presence of frailty (OR: 8.56, 95% CI: 3.46–23.7) and dementia (OR: 7.34, 95% CI: 3.52–15.9), use of H2-blocker (OR: 3.41, 95% CI: 1.08–10.9) and plasma level of CRP (OR: 1.30, 95% CI: 1.06–1.61) as significant independent determinants of delirium. Also, in multivariable analysis, the development of frailty (OR: 5.51, 95% CI: 2.80–11.5), delirium (OR: 4.59, 95% CI: 2.23–9.66) and age (OR: 1.06, 95% CI: 1.03–1.11) were the independent determinants of composite endpoint with in-hospital death and discharge to other than home. Early treatment of delirium performed significantly higher in ID than PD (55.7% vs. 29.1%, p=0.003). Conclusion This study suggested that PD contributed to increasing in-hospital events in the patients with ADHF and significance of early screening and treatment for delirium. Figure 1. Outcomes during hospitalization Funding Acknowledgement Type of funding source: None


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
L Burgos ◽  
L Talavera ◽  
R Baro Vila ◽  
A Acosta ◽  
M Cabral ◽  
...  

Abstract Introduction Recently a multidisciplinary group of the Society for Cardiovascular Angiography and Interventions (SCAI) derived a new classification schema for cardiogenic shock (CS), simple, clinically based and suitable for rapid assessment at the bedside but also arbitrary. Validation in different clinical datasets, specifically in patients with acute decompensated heart failure (ADHF), is necessary to establish the utility of this proposed classification schema. Purpose We aimed to evaluate the ability of a new SCAI CS staging classification to predict in-hospital mortality in patients with ADHF. Methods We conducted a single-center cohort study, performing a retrospective analysis of prospectively collected data of consecutive patients admitted with ADHF as a primary diagnosis between January 2015 and January 2019. We excluded patients who were hospitalized for an acute coronary syndrome. Patients were assigned to the modified SCAI Classification for CS: Stage A is “at risk” for CS, stage B is “beginning” shock, stage C is “classic”, stage D is “deteriorating”, and E is “extremis”, and in-hospital mortality was evaluated for each group. All-cause mortality was compared across SCAI stages using Kaplan-Meier analysis and log-rank test. Cox proportional hazards models were used to determine the association between SCAI stages and in-hospital mortality after adjusting for age, gender, left ventricular ejection fraction, use of vasoactive medication, mechanical circulatory assist devices, mechanical ventilation, percutaneous coronary intervention and cardiac surgery. Results Among 668 patients with a mean age of 74.9±12 years, 63.9% were male. In-hospital mortality was 11.2%. According to SCAI classification, the proportion of patients in stages A through E was 51.7%, 26.7%, 14.4%, 4.6% and 2.5%. The unadjusted mortality in each stages was: A 0.6%, B 4.5%, C 32.3%, D 61.3%, and E 88.2% (Log Rank P&lt;0.0001). After multivariable adjustment, each SCAI shock stage remained associated with increased in-hospital mortality (all P&lt;0.001 compared to stage A). Compared with SCAI shock stage A, adjusted hazard ratio (HR) values in SCAI shock stages B through E were 5.2, 31, 107, and 185, respectively (Figure). Conclusion In this large clinical cohort of patients with ADHF exclusively, the new SCAI CS staging classification was associated with in-hospital mortality. This finding supports the rationale of the classification in this setting, further prospective trials are needed to validate these findings. Adjusted in-hospital Mortality as a Func Funding Acknowledgement Type of funding source: None


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