scholarly journals Impact of Increased Body Mass Index on Accuracy of B-Type Natriuretic Peptide (BNP) and N-Terminal proBNP for Diagnosis of Decompensated Heart Failure and Prediction of All-Cause Mortality

2010 ◽  
Vol 56 (4) ◽  
pp. 633-641 ◽  
Author(s):  
Robert H Christenson ◽  
Hassan ME Azzazy ◽  
Show-Hong Duh ◽  
Susan Maynard ◽  
Stephen L Seliger ◽  
...  
Keyword(s):  
Heart Failure ◽  
Body Mass Index ◽  
Body Mass ◽  
Decompensated Heart Failure ◽  
Normal Weight ◽  
Multivariate Logistic Regression Model ◽  
Obese Patients ◽  
All Cause Mortality ◽  
Study Population

Abstract Background: BNP and N-terminal proBNP (NT-proBNP) concentrations may be depressed in patients with increased body mass index (BMI). Whether increased BMI affects accuracy of these biomarkers for diagnosing decompensated heart failure (HF) and predicting outcomes is unknown. Methods: We measured BNP and NT-proBNP in 685 patients with possible decompensated HF in a free-living community population subdivided by BMI as obese, overweight, and normal weight. HF diagnosis was adjudicated by a cardiologist blinded to BNP and NT-proBNP results. We tabulated all-cause mortality over a median follow-up of 401 days and assessed marker accuracy for HF diagnosis and mortality by ROC analysis. Results: Of the 685 patients, 40.9% were obese (n = 280), 28.2% were overweight (n = 193), and 30.9% had normal BMI (n = 212). Obese patients had lower BNP and NT-proBNP compared with overweight or normal-weight individuals (P < 0.001) and decreased mortality compared with normal-weight individuals (P < 0.001). Both biomarkers added significantly to a multivariate logistic regression model for diagnosis of decompensated HF across BMI categories. NT-proBNP outperformed BNP for predicting all-cause mortality in normal-weight individuals (χ2 for BNP = 6.4, P = 0.09; χ2 for NT-proBNP = 16.5, P < 0.001). Multivariate regression showed that both biomarkers remained significant predictors of decompensated HF diagnosis in each BMI subgroup. Conclusions: In this study population, obese patients had significantly lower BNP and NT-proBNP that reflected lower mortality. BNP and NT-proBNP can be used in all BMI groups for decompensated HF diagnosis, although BMI-specific cutpoints may be necessary to optimize sensitivity.

Abstract 15543: Association Between Body Mass Index and Prognosis of Patients Hospitalized With Heart Failure

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
yuta seko ◽  
Takao Kato ◽  
Takeshi Morimoto ◽  
Hidenori Yaku ◽  
YASUTAKA INUZUKA ◽  
...  
Keyword(s):  
Heart Failure ◽  
Body Mass Index ◽  
Body Mass ◽  
Mortality Risk ◽  
Acute Decompensated Heart Failure ◽  
Decompensated Heart Failure ◽  
Normal Weight ◽  
World Health ◽  
Prognostic Impact

Background: The prognostic implications of very low body mass index (BMI) values remain unclear in patients with acute decompensated heart failure (ADHF). This study aimed to investigate the prognostic impact of BMI classification based on the World Health Organization criteria in patients with ADHF. Methods and Results: Using data from 4056 consecutive patients with ADHF hospitalized in 19 participating hospitals in Japan between October 2014 and March 2016, we analyzed 3509 patients with available BMI data at discharge. The patients were divided into five groups; (1) Severely underweight: BMI<16 kg/m 2 , (2) Underweight: BMI≥16 kg/m 2 and <18.5 kg/m 2 , (3) Normal weight: BMI≥18.5 kg/m 2 and <25 kg/m 2 , (4) Overweight: BMI≥25 kg/m 2 and <30 kg/m 2 (5) Obese: BMI≥30 kg/m 2 . The primary outcome measure was all-cause death. The median follow-up duration was 471 days, with 96.4% follow up at 1-year. The cumulative 1-year incidence of all-cause death was higher in underweight groups, and lower in overweight groups (Severely underweight: 36.3%, Underweight: 23.9%, Normal weight: 14.4%, Overweight: 7.9%, and Obese: 9.0%, P<0.001). After adjusting confounders, the excess mortality risk remained significant in the severely underweight group (HR, 2.38; 95%CI, 1.88-3.02; P<0.001), and in the underweight group (HR, 1.33; 95%CI, 1.10-1.62; P=0.003) relative to the normal weight group, while the lower mortality risk was no longer significant in the overweight group (HR, 0.76; 95%CI, 0.57-1.01; P=0.06), and in the obese group (HR, 0.89; 95%CI, 0.53-1.50; P=0.66). Conclusions: Lower BMI, not obesity, was associated with a higher risk for all-cause death after discharge in patients with ADHF.

scholarly journals Association between body mass index and prognosis of patients hospitalized with heart failure

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Yuta Seko ◽  
Takao Kato ◽  
Takeshi Morimoto ◽  
Hidenori Yaku ◽  
Yasutaka Inuzuka ◽  
...  
Keyword(s):  
Heart Failure ◽  
Body Mass Index ◽  
Body Mass ◽  
Mortality Risk ◽  
Acute Decompensated Heart Failure ◽  
Decompensated Heart Failure ◽  
Normal Weight ◽  
World Health ◽  
Prognostic Impact

Abstract The prognostic implications of very low body mass index (BMI) values remain unclear in patients with acute decompensated heart failure (ADHF). This study aimed to investigate the prognostic impact of BMI classification based on the World Health Organization criteria in patients with ADHF. Among 3509 patients with ADHF and available BMI data at discharge in 19 participating hospitals in Japan between October 2014 and March 2016, the study population was divided into five groups; (1) Severely underweight: BMI < 16 kg/m2, (2) Underweight: BMI ≥ 16 kg/m2 and < 18.5 kg/m2, (3) Normal weight: BMI ≥ 18.5 kg/m2 and < 25 kg/m2, (4) Overweight: BMI ≥ 25 kg/m2 and < 30 kg/m2 (5) Obese: BMI ≥ 30 kg/m2. The primary outcome measure was all-cause death. The median follow-up duration was 471 days, with 96.4% follow up at 1-year. The cumulative 1-year incidence of all-cause death was higher in underweight groups, and lower in overweight groups (Severely underweight: 36.3%, Underweight: 23.9%, Normal weight: 14.4%, Overweight: 7.9%, and Obese: 9.0%, P < 0.001). After adjusting confounders, the excess mortality risk remained significant in the severely underweight group (HR, 2.32; 95%CI, 1.83–2.94; P < 0.001), and in the underweight group (HR, 1.31; 95%CI, 1.08–1.59; P = 0.005) relative to the normal weight group, while the lower mortality risk was no longer significant in the overweight group (HR, 0.82; 95%CI, 0.62–1.10; P = 0.18) and in the obese group (HR, 1.09; 95%CI, 0.65–1.85; P = 0.74). Very low BMI was associated with a higher risk for one-year mortality after discharge in patients with ADHF.

scholarly journals An Analysis of the Potential Relationship of Triglyceride Glucose and Body Mass Index With Stroke Prognosis

2021 ◽  
Vol 12 ◽  
Author(s):  
Zongyi Hou ◽  
Yuesong Pan ◽  
Yindong Yang ◽  
Xiaofan Yang ◽  
Xianglong Xiang ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Ischemic Stroke ◽  
Body Mass ◽  
Normal Weight ◽  
Inverse Association ◽  
Stroke Outcome ◽  
Obese Patients ◽  
Stroke Patients ◽  
Tyg Index ◽  
All Cause Mortality

Background: The inverse association between obesity and outcome in stroke patients (known as the obesity paradox) has been widely reported, yet mechanistic details explaining the paradox are limited. The triglyceride glucose (TYG) index has been proposed as a marker of insulin resistance. We sought to explore possible associations of the TYG index, body mass index (BMI), and stroke outcome.Methods: We identified 12,964 ischemic stroke patients without a history of diabetes mellitus from the China National Stroke Registry and classified patients as either low/normal weight, defined as a BMI &lt;25 kg/m2, or overweight/obese, defined as a BMI ≥ 25 kg/m2. We calculated TYG index and based on which the patients were divided into four groups. A Cox or logistic regression model was used to evaluate the association between BMI and TYG index and its influence on stroke outcomes, including stroke recurrence all-cause mortality and poor outcome (modified Rankin Scale score of 3–6) at 12 months.Results: Among the patients, 63.3% were male, and 36.7% were female, and the mean age of the patient cohort was 64.8 years old. The median TYG index was 8.62 (interquartile range, 8.25–9.05). After adjusting for multiple potential covariates, the all-cause mortality of overweight/obese patients was significantly lower than that of the low/normal weight patients (6.17 vs. 9.32%; adjusted hazard ratio, 0.847; 95% CI 0.732–0.981). The difference in mortality in overweight/obese and low/normal weight patients with ischemic stroke was not associated with TYG index, and no association between BMI and TYG index was found.Conclusion: Overweight/obese patients with ischemic stroke have better survival than patients with low/normal weight. The association of BMI and stroke outcome is not changed by TYG index.

The effect of body mass index on clinical outcomes in patients with newly diagnosed atrial fibrillation in the GARFIELD-AF registry

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
C.J.F Camm ◽  
A.J Camm ◽  
S Virdone ◽  
J.-P Bassand ◽  
D.A Fitzmaurice ◽  
...  
Keyword(s):  
Heart Failure ◽  
Atrial Fibrillation ◽  
Body Mass Index ◽  
Risk Factor ◽  
Body Mass ◽  
Funding Source ◽  
Newly Diagnosed ◽  
Risk Of Mortality ◽  
All Cause Mortality

Abstract Introduction Higher body mass index (BMI) is associated with a higher risk of atrial fibrillation (AF). However, previous evidence has suggested an inverse association between BMI and risk of AF outcomes. Purpose To explore the association between BMI and outcomes in those with newly diagnosed AF in the GARFIELD-AF registry. Methods GARFIELD-AF is an international registry of consecutively recruited patients aged ≥18 years with newly diagnosed AF and ≥1 stroke risk factor. Data were collected prospectively on 52,080 patients. Participants with missing or extreme BMI values and those without two-year follow-up were excluded. Cox proportional hazard models were used to estimate the effect of BMI on the risk of outcomes. Models were adjusted for age, sex, ethnicity, smoking, alcohol, and ≥moderate chronic kidney disease. Where appropriate participants were divided into groups based on BMI. Restricted cubic splines were used to assess non-linear relationships. Results BMI and outcome data were available for 40,495 patients. Those with higher BMI were generally younger, and more likely to have pre-existing hypertension, diabetes, or vascular disease (Table). Underweight patients received anticoagulation less often than those in other groups (60.3% vs 67.9%, respectively). During follow-up, 2,801 participants (6.9%) died and 603 (1.5%) had new/worsening heart failure. Following adjustment for potential confounders, a U-shaped relationship was seen between BMI and all-cause mortality and new/worsening heart failure (Figure). For all-cause mortality, the lowest risk was at 30kg/m2. Below this level, there was an 8% higher risk of mortality (95% confidence interval (CI) 6 to 9%) per 1kg/m2 lower BMI. Above 30kg/m2, there was a 5% higher risk of mortality per 1kg/m2 higher BMI (95% CI 4 to 7%). For new/worsening heart failure, the lowest risk was at 25kg/m2. Above this level, 1kg/m2 higher BMI was associated with an 5% higher risk (95% CI 13 to 6%). Conclusions BMI was an important risk factor for both all-cause mortality and new/worsening heart failure in AF. Those at both extremes of BMI are at higher risk. BMI and selected outcomes Funding Acknowledgement Type of funding source: Private company. Main funding source(s): The GARFIELD-AF registry is funded by an unrestricted research grant from Bayer AG.

Impact of body mass index on the clinical outcomes in heart failure patients undergoing cardiac rehabilitation

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
M Kunimoto ◽  
K Shimada ◽  
M Yokoyama ◽  
K Fujiwara ◽  
A Honzawa ◽  
...  
Keyword(s):  
Heart Failure ◽  
Body Mass Index ◽  
Cardiac Rehabilitation ◽  
Body Mass ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Favorable Effect ◽  
Kaplan Meier ◽  
All Cause Mortality

Abstract Background Increased body mass index (BMI) has recently shown to have a favorable effect on the prognosis in heart failure (HF) patients. However, the impact of BMI on clinical events and mortality in HF patients who underwent cardiac rehabilitation (CR) remains unclear. Purpose This study aimed to investigate whether the obesity paradox is present in HF patients who have undergone CR. Methods This study enrolled 238 consecutive HF patients who had undergone CR at our university hospital between November 2015 and October 2017. The clinical characteristics and anthropometric data of these patients, including BMI, were collected at the beginning of the CR. The major adverse cardiovascular event (MACE) was defined as a composite of all-cause mortality and unplanned hospitalization for HF. Follow-up data regarding the primary endpoints were collected until November 2018. Results Patients (mean age 68.7 years, male 61%) were divided into four groups as per BMI quartiles. More patients in the highest BMI group were women, were significantly younger, and had a higher prevalence of hypertension, dyslipidemia, and diabetes mellitus; however, no significant differences were observed in the prevalence of chronic kidney disease, left ventricular ejection fraction, and brain natriuretic peptide levels of the four groups. During a median follow-up duration of 583 days, 28 patients experienced all-cause mortality, and 42 were hospitalized for HF. Kaplan–Meier analysis showed that patients in the highest BMI quartiles had lower rates of MACE (Log-rank P&lt;0.05) (Figure 1). After adjusting for confounding factors, Cox regression multivariate analysis revealed that BMI was negatively and independently associated with the incidence of MACE (hazard ratio: 0.89, 95% confidence interval: 0.83–0.96, P&lt;0.05). Conclusion Increased BMI was associated with better clinical prognosis even in HF patients who have undergone CR Therefore, BMI assessment may be useful for risk stratification in HF patients who have undergone CR. Figure 1. Kaplan-Meier survival curve Funding Acknowledgement Type of funding source: None

Body mass index and mortality in patients with gastric cancer: A large cohort study.

2018 ◽  
Vol 36 (4_suppl) ◽  
pp. 16-16
Author(s):  
Jung Hwan Lee ◽  
Boram Park ◽  
Jungnam Joo ◽  
Young-Il Kim ◽  
Chan Gyoo Kim ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Body Mass Index ◽  
Overall Survival ◽  
Body Mass ◽  
Normal Weight ◽  
Large Cohort ◽  
Obese Patients ◽  
All Cause Mortality ◽  
Severely Obese ◽  
Disease Specific

16 Background: Although excess body weight has been known to be an important risk factor for mortality from many cancers including colorectal, endometrial and breast cancers, the prognosis of gastric cancer (GC) in obese patients seems controversial. Methods: We aimed to evaluate the association between body mass index (BMI) and mortality in GC in a large cohort. A single institute cohort of 7,765 GC patients undergoing curative gastrectomy between October 2000 and June 2016 were categorized into 6 groups; underweight (< 18.5 kg/m2), normal (18.5 to < 23 kg/m2), overweight (23 to < 25 kg/m2), obese I (25 to < 28 kg/m2), obese II (28 to < 30 kg/m2), and severely obese (≥30 kg/m2). The hazard ratios (HRs) for overall survival and disease-specific survival were calculated using Cox proportional hazard model. Results: We identified 1,279 all-cause and 763 disease-specific deaths among 7,765 patients, and the median follow-up period was 83.05 months (range, 1.02-186.97 months). In multivariable analyses adjusted by age, sex, tumor stage, comorbidity and operation methods, preoperative BMI was associated with all-cause mortality in a nonlinear pattern. As compared with patients who were normal weight, underweight BMI showed increasing mortality risk (hazard ratio (HR), 1.42, 95% confidence interval (CI), 1.15-1.77). In contrast, patients who were overweight (HR, 0.84; 95% CI, 0.73-0.97), obese I (HR, 0.77; 95% CI, 0.66-0.90) and obese II (HR, 0.77; 95% CI, 0.59-1.01) had lower risk of mortality. disease-specific mortality also had a similar pattern to overall survival showing the lowest mortality in obese II group (HR, 0.59; 95% CI, 0.40-0.88). There was no significant difference in severely obese patients in both all-cause and disease-specific mortalities. In spline analyses illustrated by a bell-shaped curve, risk for all-cause mortality was the lowest in patients with 26.67 kg/m2. Conclusions: Preoperative overweight and obese patients (23 to < 30 kg/m2) had lower all-cause and disease-specific mortalities compared to those with normal weight in GC patients who underwent curative surgical resection.

Abstract MP61: Body Mass Index and Mortality among Adults with Incident Type Diabetes: Results from Two Prospective US Cohort Studies

Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Deirdre K Tobias ◽  
An Pan ◽  
Eric Ding ◽  
Chandra L Jackson ◽  
Eilis J O’Reilly ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Fixed Effects ◽  
Normal Weight ◽  
Health Study ◽  
Increased Risk ◽  
All Cause Mortality ◽  
Never Smokers ◽  
Cvd Mortality

Background: Recent evidence suggests that having normal weight at time of diagnosis of type 2 diabetes (T2D) is associated with an increased risk of premature death, compared to being overweight or obese; these studies were limited in their sample size and ability to adequately address residual confounding by smoking and reverse causation. Objective: To prospectively evaluate the association between body mass index (BMI) at T2D diagnosis and mortality in two large cohorts. Methods: Women and men with incident T2D from the Nurses’ Health Study (1978-2010; N=8,984) and Health Professionals Follow-up Study (1988-2010; N=2,443) were included if they were free of major chronic disease (cardiovascular disease [CVD], cancer) at T2D diagnosis. Participants’ self-reported body weight preceding diagnosis (mean 11 months) and height was used to calculate BMI (kg/m2). Cox proportional hazards models estimated the relative risk (HR) and 95% confidence interval (CI) for mortality across BMI categories. Multivariable models adjusted for age, smoking, baseline comorbidities (high blood pressure, cholesterol), and several other lifestyle factors. Fixed-effects meta-analyses were used to combine individual cohort estimates. Results: In all, 3,119 total deaths were observed over a follow-up of 36 years in women (18.7 deaths/1,000 person-years) and 26 years in men (25.2 deaths/1,000 person-years). A J-shaped association was observed across BMI categories (18.5-22.4, 22.5-24.9, 25.0-27.4, 27.5-29.9, 30.0-34.9, >35.0) and all-cause mortality (HR [CI] by category: 1.26[1.03, 1.55], 1[reference], 1.11[0.97, 1.28], 1.08[0.94, 1.25], 1.19[1.04, 1.37], 1.33[1.15, 1.55]). After stratifying by smoking status, a direct linear association was present among never smokers and a J-shaped relationship persisted among ever smokers. Excluding deaths in the first 4 years of follow-up and adjusting for BMI change prior to diagnosis further accentuated the linear relationship between BMI and all-cause mortality among never smokers (0.90[0.57, 1.43], 1.00 [reference], 1.19[0.91, 1.57], 1.20[0.91, 1.58], 1.27[0.97, 1.65], 1.50[1.14, 1.99]; p-trend<0.001). The association across BMI categories and CVD mortality was also linear among never smokers, and flat among ever smokers. In addition, among ever smokers, cancer mortality was highest among those with BMI 18.5-22.5. No clear trend was observed between BMI and mortality due to other causes. Excluding insulin users did not appreciably modify the associations. Conclusions: We found no evidence to support lower mortality rates among diabetics who were overweight or obese at diagnosis, compared to their normal-weight counterparts. In contrast, after accounting for confounding by smoking, we observed direct linear relationships between BMI and both all-cause and CVD mortality in our cohorts. Reducing other biases strengthened these relationships.

scholarly journals Higher body mass index is associated with larger postoperative improvement in patient-reported outcomes following total knee arthroplasty

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
K Giesinger ◽  
JM Giesinger ◽  
DF Hamilton ◽  
J Rechsteiner ◽  
A Ladurner
Keyword(s):  
Body Mass Index ◽  
Total Knee Arthroplasty ◽  
Pain Relief ◽  
Body Mass ◽  
Knee Arthroplasty ◽  
Normal Weight ◽  
World Health ◽  
Obese Patients ◽  
Total Knee ◽  
The Impact

Abstract Background Total knee arthroplasty is known to successfully alleviate pain and improve function in endstage knee osteoarthritis. However, there is some controversy with regard to the influence of obesity on clinical benefits after TKA. The aim of this study was to investigate the impact of body mass index (BMI) on improvement in pain, function and general health status following total knee arthroplasty (TKA). Methods A single-centre retrospective analysis of primary TKAs performed between 2006 and 2016 was performed. Data were collected preoperatively and 12-month postoperatively using WOMAC score and EQ-5D. Longitudinal score change was compared across the BMI categories identified by the World Health Organization. Results Data from 1565 patients [mean age 69.1, 62.2% women] were accessed. Weight distribution was: 21.2% BMI < 25.0 kg/m2, 36.9% BMI 25.0–29.9 kg/m2, 27.0% BMI 30.0–34.9 kg/m2, 10.2% BMI 35.0–39.9 kg/m2, and 4.6% BMI ≥ 40.0 kg/m2. All outcome measures improved between preoperative and 12-month follow-up (p < 0.001). In pairwise comparisons against normal weight patients, patients with class I-II obesity showed larger improvement on the WOMAC function and total score. For WOMAC pain improvements were larger for all three obesity classes. Conclusions Post-operative improvement in joint-specific outcomes was larger in obese patients compared to normal weight patients. These findings suggest that obese patients may have the greatest benefits from TKA with regard to function and pain relief one year post-op. Well balanced treatment decisions should fully account for both: Higher benefits in terms of pain relief and function as well as increased potential risks and complications. Trial registration This trial has been registered with the ethics committee of Eastern Switzerland (EKOS; Project-ID: EKOS 2020–00,879)

scholarly journals The association between body mass index and recovery from post-traumatic stress disorder after the nuclear accident in Fukushima

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Masato Nagai ◽  
Tetsuya Ohira ◽  
Masaharu Maeda ◽  
Seiji Yasumura ◽  
Itaru Miura ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Post Traumatic Stress Disorder ◽  
Traumatic Stress ◽  
Stress Disorder ◽  
Error Variance ◽  
Normal Weight ◽  
Post Traumatic Stress ◽  
Post Traumatic

AbstractPost-traumatic stress disorder (PTSD) and obesity share common risk factors; however, the effect of obesity on recovery from PTSD has not been assessed. We examined the association between body mass index (BMI) and recovery from PTSD after the Great East Japan Earthquake. We analyzed 4356 men and women with probable PTSD aged ≥ 16 years who were living in evacuation zones owing to the radiation accident in Fukushima, Japan. Recovery from probable PTSD was defined as Post-traumatic Stress Disorder Checklist-specific scores < 44. Using Poisson regression with robust error variance adjusted for confounders, we compared the prevalence ratios (PRs) and 95% confidence intervals (CIs) for this outcome in 2013 and 2014. Compared with point estimates for normal weight (BMI: 18.5–24.9 kg/m2), especially in 2013, those for underweight (BMI: < 18.5 kg/m2) and obesity (BMI: ≥ 30.0 kg/m2) tended to slightly increase and decrease, respectively, for recovery from probable PTSD. The multivariate-adjusted PRs (95% CIs) for underweight and obesity were 1.08 (0.88–1.33) and 0.85 (0.68–1.06), respectively, in 2013 and 1.02 (0.82–1.26) and 0.87 (0.69–1.09), respectively, in 2014. The results of the present study showed that obesity may be a useful predictor for probable PTSD recovery. Obese victims with PTSD would require more intensive support and careful follow-up for recovery.

Association of Body Mass Index With Clinical Outcomes in Patients With Heart Failure With Reduced Ejection Fraction Treated With Sacubitril/Valsartan

2021 ◽  
pp. 107424842110244
Author(s):  
Kazuhiko Kido ◽  
Christopher Bianco ◽  
Marco Caccamo ◽  
Wei Fang ◽  
George Sokos
Keyword(s):  
Heart Failure ◽  
Body Mass Index ◽  
Propensity Score ◽  
Ejection Fraction ◽  
Clinical Outcomes ◽  
Body Mass ◽  
Normal Weight ◽  
Reduced Ejection Fraction ◽  
Propensity Score Weighting ◽  
Patients With Heart Failure

Background: Only limited data are available that address the association between body mass index (BMI) and clinical outcomes in patients with heart failure with reduced ejection fraction who are receiving sacubitril/valsartan. Methods: We performed a retrospective multi-center cohort study in which we compared 3 body mass index groups (normal, overweight and obese groups) in patients with heart failure with reduced ejection fraction receiving sacubitril/valsartan. The follow-up period was at least 1 year. Propensity score weighting was performed. The primary outcomes were hospitalization for heart failure and all-cause mortality. Results: Of the 721 patients in the original cohort, propensity score weighting generated a cohort of 540 patients in 3 groups: normal weight (n = 78), overweight (n = 181), and obese (n = 281). All baseline characteristics were well-balanced between 3 groups after propensity score weighting. Among our results, we found no significant differences in hospitalization for heart failure (normal weight versus overweight: average hazard ratio [AHR] 1.29, 95% confidence interval [CI] = 0.76-2.20, P = 0.35; normal weight versus obese: AHR 1.04, 95% CI = 0.63-1.70, P = 0.88; overweight versus obese groups: AHR 0.81, 95% CI = 0.54-1.20, P = 0.29) or all-cause mortality (normal weight versus overweight: AHR 0.99, 95% CI = 0.59-1.67, P = 0.97; normal weight versus obese: AHR 0.87, 95% CI = 0.53-1.42, P = 0.57; overweight versus obese: AHR 0.87, 95% CI = 0.58-1.32, P = 0.52). Conclusion: We identified no significant associations between BMI and clinical outcomes in patients diagnosed with heart failure with a reduced ejection fraction who were treated with sacubitril/valsartan. A large-scale study should be performed to verify these results.

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