Body mass index and mortality in heart failure: a meta-analysis

Associations between obesity and severity of coronavirus disease 2019 in Brazilian inpatients: A 2021 secondary data analysis

In the backdrop of the global obesity pandemic, recognized as a notable risk factor for coronavirus disease 2019 (COVID-19) complications, the study aims to explore clinical and epidemiological attributes of hospitalized COVID-19 patients throughout 2021 in Brazil. Focused on four distinct age cohorts, the investigation scrutinizes parameters such as intensive care unit (ICU) admission frequency, invasive mechanical ventilation (IMV) usage, and in-hospital mortality among individuals with and without obesity. Using a comprehensive cross-sectional study methodology, encompassing adult COVID-19 cases, data sourced from the Influenza Epidemiological Surveillance Information System comprises 329 206 hospitalized patients. Of these individuals, 26.3% were affected by obesity. Analysis reveals elevated rates of ICU admissions, increased dependence on IMV, and heightened in-hospital mortality among the individuals with obesity across all age groups (p < .001). Logistic regression, adjusting for confounding variables, underscores a progressively rising odds ratio for mortality in younger age brackets: 1.2 (95%CI 1.1-1.3) for those under 50 years, 1.1 (95%CI 1.0-1.2) for the 50-59 age group, and 1.1 (95%CI 1.0-1.2) for the 60-69 age group. Conversely, no significant mortality difference is observed for patients over 70 years (OR: 0.972, 95%CI 0.9-1.1). In summary, hospitalized COVID-19 patients with obesity, particularly in younger age groups, exhibit elevated rates of ICU admission, IMV requirement, and in-hospital mortality compared with the control group. Notably, the 'obesity paradox' is not evident among hospitalized COVID-19 patients in 2021.

Novel Adiposity Indices Are Associated With Poor Prognosis in Heart Failure With Preserved Ejection Fraction Without the Obesity Paradox

BACKGROUND

There is limited study that illuminates the relationship between obesity indices and prognosis in patients with heart failure with preserved ejection fraction, nor has it been examined whether the obesity paradox persists when using these metrics.

METHODS AND RESULTS

This study is a post hoc analysis of data from the TOPCAT (Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist) trial. A total of 3114 individuals were included in our final analysis, and a total of 481 (15.4%) all-cause deaths, and 389 (12.5%) heart failure hospitalizations were recorded. In a multivariable Cox regression model, compared with patients with a body mass index (BMI) <24.9 kg/m2, those with a BMI of 25.0-29.9, 30.0-34.9, and 35-39.9 kg/m2 were associated with a decreased risk of all-cause death, with hazard ratio (95% CI) of 0.59 (0.45-0.78), 0.61 (0.46-0.82), and 0.66 (0.47-0.92), respectively. Conversely, patients with a BMI ≥40 kg/m2 showed an increased risk of heart failure hospitalization, compared with BMI <24.9 kg/m2. Furthermore, patients in the highest quintile of obesity indices exhibited a significantly elevated hazard ratio for both all-cause death and heart failure hospitalization, compared with the lowest quintile.

CONCLUSIONS

An elevated BMI over a certain range was associated with a reduced risk of all-cause death in heart failure with preserved ejection fraction, displaying a U-shaped relationship, with no mortality reduction observed in cases of extreme obesity. In contrast, higher values of novel obesity indices were positively correlated with all-cause death and heart failure hospitalization without the obesity paradox.

Mid-term outcomes of valve replacement surgery with or without coronary artery bypass grafting in patients with overweight and obesity: A cohort study

Current data evaluating outcomes of valve replacement surgery in patients with overweight/obesity is contradictory. There is a scarce study comparing outcomes of valve surgery considering the type of valve involved in the procedure. We followed outcomes in patients with overweight and obesity after valve replacement surgery with or without coronary artery bypass graft (CABG) and also patients with aortic valve replacement (AVR) and mitral valve replacement (MVR), separately to compare their mid-term prognosis in each group. Consecutive patients who had undergone cardiac valve surgery with or without CABG in Tehran Heart Center were enrolled. We enrolled 3158 patients. Median survival was 125.71 ± 82.20 weeks in patients with overweight/obesity. We found a significantly higher LVDd, LVDs and RVDd in patients with CABG (51.85 ± 7.31, 36.80 ± 8.81 and 30.04 ± 3.58, respectively) compared to the valve group (50.10 ± 6.35 mm, 35.08 ± 7.29 mm and 29.76 ± 4.07 mm, respectively). All-cause mortality is significantly higher in patients with AVR (5.7%) than those with MVR (3.3%). Patients with CABG are at higher risk of myocardial infarction (MI) compared to the ones without CABG (0.8% vs. 0.1%). No significant interaction was observed between the type of valve surgery (AVR/MVR) or valve surgery combinations (valve/valve + CABG) (p-values = .81 vs. .97, respectively). Post-operative outcomes in patients with overweight/obesity depend on several factors such as type of valve involved and presence of CABG. Risk management can lower the rate of mortality and morbidity in these patients.

Obesity in Heart Failure with Reduced Ejection Fraction: Time to Address the Elephant in the Room

Obesity has been long recognized as a risk factor for the development of heart failure, but recent evidence suggests obesity is more typically associated with heart failure with preserved ejection fraction as opposed to heart failure with reduced ejection fraction (HFrEF). Nevertheless, numerous studies have found that obesity modulates the presentation and progression of HFrEF and may contribute to the development of HFrEF in some patients. Although obesity has definite negative effects in HFrEF patients, the effects of intentional weight loss in HFrEF patients with obesity have been poorly studied.

The Impact of Body Mass Index on Morbidity and Mortality in Iraqi Patients With Heart Failure

BACKGROUND

Obesity and heart failure (HF) are increasingly significant contributors to illness and death worldwide. While obesity appears to increase the risk of HF, it may paradoxically improve survival. This study aimed to investigate the impact of body mass index (BMI) on the mortality and morbidity of patients with HF.

METHODOLOGY

 A total of 122 patients including females (n=39) and males (n=83) diagnosed with HF were admitted to two cardiac units in Basrah, Iraq. The diagnosis was made based on Framingham Heart Failure Diagnostic Criteria. The BMI, baseline hemodynamics, and medical history were recorded, while the etiology and severity of HF were assessed at enrollment. The patients were followed up prospectively for hospital admission, and survival after one year of enrollment.

RESULTS

The mean age of patients with HF was 62.7 years (SD 10.25). They included based on BMI categories 49.2% of normal/underweight individuals, while 50.8% were overweight/obese. The most frequent etiology was ischemic heart disease in 63.9%. Echocardiography revealed that the prevalence of left ventricular ejection fraction (LVEF) < 50% was 62.29%. It was observed that obese/overweight patients were more likely to have diastolic HF (P=0.001), and more severe disease (P=0.014), and were more likely to be alive at the one-year mark (P=0.001) than underweight/normal ones. Furthermore, the underweight had the least favorable outcome than any of the other five BMI categories (P<0.0001). Moreover, obese/overweight individuals had higher hospitalization rates in the first six months than normal/underweight, though this was insignificant (P=0.15).

CONCLUSIONS

It appears that among Iraqis with heart failure, those who are overweight or obese had better outcomes at one year compared to normal or underweight. Further studies on a larger number of HF patients, and utilizing additional anthropometric indices and cardiorespiratory fitness to validate the observation of this study are warranted.

Age-Related Outcomes in Heart Failure with Mildly Reduced Ejection Fraction

Objective: This study investigates age-related differences and outcomes in patients hospitalized with heart failure with a mildly reduced ejection fraction (HFmrEF). Background: The characterization of patients with HFmrEF and the prognostic value of age has rarely been investigated. Methods: Patients with HFmrEF were retrospectively included at one institution between 2016 and 2022. The distribution of HF aetiology and prognostic outcomes were investigated comparing patients with ≤40, >40 to ≤60, >60 to ≤80, and >80 years of age. The primary endpoint was long-term all-cause mortality. Kaplan-Meier and multivariable Cox proportional regression analyses were applied for statistics. Results: For the present study, 2184 patients with HFmrEF with a median age of 76 years were included. Non-ischemic cardiomyopathy was the most common HF aetiology in patients <40 years of age, whereas patients with 60-80 years of age (60.2%) and >80 years of age (58.2%) had the higher rates of ischemic cardiomyopathies. The risk of long-term all-cause mortality at 30 months was highest in patients with >80 years of age (HR = 2.167; 95% CI 1.928-2.436; p = 0.001), even after multivariable adjustment. Furthermore, patients with >80 years of age had the highest risk of HF-related rehospitalization (HR = 1.529; 95% CI 1.293-1.807; p = 0.001). Conclusions: Ischemic cardiomyopathy represents the most common cause of HF in elderly patients with HFmrEF, whereas younger patients were more likely to suffer from non-ischemic HF aetiologies. Increasing age was an independent predictor of long-term all-cause mortality in patients hospitalized with HFmrEF.

Malnutrition stratified by marasmus and kwashiorkor in adult patients with heart failure

Malnutrition is classified into marasmus and kwashiorkor in children. However, the clinical significance of these aspects is unclear in adult patients with heart failure (HF). We divided 2308 adult patients with HF into four groups according to marasmus type (body mass index < 18.5 kg/m2) and kwashiorkor type (serum albumin < 3.4 g/dL) malnutrition: Group C (no malnutrition, n = 1511, 65.5%), Group M (marasmus type malnutrition, n = 133, 5.8%), Group K (kwashiorkor type malnutrition, n = 554, 24.0%) and Group MK (marasmic-kwashiorkor type malnutrition, n = 110, 4.8%). Group M showed the lowest blood pressure. Groups K and MK showed higher levels of B-type natriuretic peptide. Right atrial pressure was lowest in Groups M and MK. Kaplan-Meir analysis demonstrated that Group MK had the lowest event-free rate of all-cause death and cardiac death. In the multivariable Cox proportional hazard analysis, Groups M, K, and MK were associated with all-cause death (hazard ratio 1.790, 1.657 and 2.313, respectively) and cardiac death (hazard ratio 2.053, 1.855 and 3.001, respectively) compared to Group C as a reference. Marasmus type and kwashiorkor type malnutrition are associated with distinct profiles and high mortality, and marasmic-kwashiorkor type malnutrition has the poorest prognosis.

Obesity: the perfect storm for heart failure

Obesity condition causes morphological and functional alterations involving the cardiovascular system. These can represent the substrates for different cardiovascular diseases, such as atrial fibrillation, coronary artery disease, sudden cardiac death, and heart failure (HF) with both preserved ejection fraction (EF) and reduced EF. Different pathogenetic mechanisms may help to explain the association between obesity and HF including left ventricular remodelling and epicardial fat accumulation, endothelial dysfunction, and coronary microvascular dysfunction. Multi-imaging modalities are required for appropriate recognition of subclinical systolic dysfunction typically associated with obesity, with echocardiography being the most cost-effective technique. Therapeutic approach in patients with obesity and HF is challenging, particularly regarding patients with preserved EF in which few strategies with high level of evidence are available. Weight loss is of extreme importance in patients with obesity and HF, being a primary therapeutic intervention. Sodium-glucose co-transporter-2 inhibitors have been recently introduced as a novel tool in the management of HF patients. The present review aims at analysing the most recent studies supporting pathogenesis, diagnosis, and management in patients with obesity and HF.

Does obesity predict morbidity and mortality amongst patients undergoing transfemoral amputations?

BACKGROUND

We investigated the role of obesity on morbidity and mortality in patients undergoing above knee amputation.

METHODS

Data of 4225 patients undergoing AKAs was extracted from NIS Database (2016-2019) for a retrospectively matched case-control study and were grouped into; Non-obese (N-Ob-BMI <29.9 kg/m2; n = 1413), class I/II obese (Ob-I/II-BMI: 30-39.9 kg/m2; n = 1413), and class III obese groups (Ob-IIIBMI > 40; n = 1399). Morbidity, mortality, length of stay, and hospital charges were analyzed.

RESULTS

Blood loss anemia (OR = 1.42; 95% CI = 1.19-1.64), superficial SSI (OR = 5.10; 95% CI = 1.4717.63) and acute kidney injury (AKI- OR = 1.42; 95% CI = 1.21-1.67) were higher in Ob-III patients. Mortality was 5.8%, 4.5%, and 6.4% in N-Ob, Ob-I/II and Ob-III patients (p < 0.001; Ob-I/II vs. Ob-III), respectively. Hospital LOS was 3 days higher in Ob-III (16.1 ± 18.0), comparatively resulting in $25,481 higher inpatient-hospital charge.

CONCLUSION

Patients in Ob-III group were noted to have increased morbidity, higher LOS, and inpatient-hospital cost.

The Effect of Obesity on Short- and Long-Term Outcome after Surgical Treatment for Acute Type A Aortic Dissection

BACKGROUND

A paradox of lower morbidity and mortality in overweight or obese patients undergoing cardiac surgery has been described; however, knowledge about the influence of obesity in patients with acute Type A aortic dissection (AAD) is limited. This study aimed to evaluate the effect of obesity on short- and long-term outcomes after surgical treatment for AAD.

METHODS

Between 01/2004 and 12/2022, 912 patients with a BMI of 18.5 or greater were operated on for AAD. Patients were grouped according to their BMI (normal weight: BMI 18.5-24.9, n = 332; overweight: BMI 25-29.9, n = 367; obesity class I: BMI 30-34.9, n = 133; obesity class II+: BMI ≥ 35, n = 67), and the obtained clinical and surgical data were compared.

RESULTS

Obese patients were younger at the time of AAD (p = 0.001) and demonstrated higher rates of typical cardiovascular comorbidities (arterial hypertension, p = 0.005; diabetes mellitus, p < 0.001). The most important preoperative parameters, as well as the surgical approach, were similar between all four groups. The occurrence of renal failure requiring dialysis was higher in patients with BMI ≥ 35 (p = 0.010), but the in-hospital (p = 0.461) and long-term survival (p = 0.894) showed no significant differences.

CONCLUSIONS

There are no indications that the obesity paradox is applicable in the setting of AAD. Since obese patients are affected by AAD at a younger age, obesity might constitute a risk factor for AAD. However, obesity does not influence short- or long-term survival. Regardless of body weight, immediate surgical therapy remains the treatment of choice for AAD.

Digital Biometry as an Obesity Diagnosis Tool: A Review of Current Applications and Future Directions

Obesity is a chronic relapsing disease and a major public health concern due to its high prevalence and associated complications. Paradoxically, several studies have found that obesity might positively impact the prognosis of patients with certain existing chronic diseases, while some individuals with normal BMI may develop obesity-related complications. This phenomenon might be explained by differences in body composition, such as visceral adipose tissue (VAT), total body fat (TBF), and fat-free mass (FFM). Indirect measures of body composition such as body circumferences, skinfold thicknesses, and bioelectrical impedance analysis (BIA) devices are useful clinically and in epidemiological studies but are often difficult to perform, time-consuming, or inaccurate. Biomedical imaging methods, i.e., computerized tomography scanners (CT scan), dual-energy X-ray absorptiometry (DEXA), and magnetic resonance imaging (MRI), provide accurate assessments but are expensive and not readily available. Recent advancements in 3D optical image technology offer an innovative way to assess body circumferences and body composition, though most machines are costly and not widely available. Two-dimensional optical image technology might offer an interesting alternative, but its accuracy needs validation. This review aims to evaluate the efficacy of 2D and 3D automated body scan devices in assessing body circumferences and body composition.

Impact of Malnutrition on the Outcomes in Patients Admitted with Heart Failure

Background: Heart failure, a major public health concern, significantly contributes to hospital admissions. This study evaluates the impact of malnutrition on both patient and hospital outcomes in heart failure admissions, with a specific focus on variations in outcomes based on the severity of malnutrition. Methods: Utilizing the National Inpatient Sample (NIS) database, this retrospective cohort study included adult patients admitted with a principal diagnosis of heart failure. Malnutrition was identified using the well-validated ICD 10 codes. We compared outcomes between patients with and without malnutrition, focusing on mortality, length of stay (LOS), hospital charges, cardiac arrest, and cardiogenic shock. Results: Out of 1,110,085 heart failure patients, 36,522 (3.29%) were malnourished. Malnourished patients exhibited significantly higher adjusted in-hospital mortality rates (aOR 3.32; 95% CI 3.03-3.64), longer LOS (mean increase of 4.67 days; p < 0.001), and higher hospital charges (mean increase of USD 77,416.9; p < 0.01). Increased rates of cardiac arrest (aOR 2.39; 95% CI 1.99-2.86; p < 0.001) and cardiogenic shock (aOR 3.74; 95% CI 3.40-4.12; p < 0.001) were also noted in malnourished patients. Severely malnourished patients faced worse outcomes compared to those with mild to moderate malnutrition. Conclusions: Heart failure patients with malnutrition experience higher mortality rates, longer hospital stays, increased hospitalization charges, and greater complication rates, including cardiac arrest and cardiogenic shock, compared to non-malnourished patients. Outcomes deteriorate with the increasing severity of malnutrition. Timely and individualized nutritional interventions may significantly improve outcomes for heart failure admissions.

Bi-directional association of body size and composition with heart failure: A Mendelian randomization study

PURPOSE

The effect of obesity on the development of heart failure (HF) has received attention, and this study intends to further explore the bidirectional association between body size or composition and HF by using Mendelian Randomization (MR) approach.

DESIGN

We performed a two-sample bidirectional MR study to investigate the association between body size or composition and the risk of HF using aggregated data from genome-wide association studies. Univariable MR analysis was used to investigate the causal relationship, and multivariable MR analysis was used to explore the mediating role of general and central obesity in the relationship between body size or composition and HF.

RESULTS

This forward MR study found that body mass index (BMI), waist circumference (WC), waist-hip ratio (WHR), fat mass (FM) and fat-free mass (FFM) were risk factors for the development of HF with the strength of causal association BMI > FM > WC > FFM > WHR. After adjusting for BMI, the observed associations between the remaining indicators and heart failure attenuated to null. After adjusting for WC, only BMI (OR = 1.59, 95%CI: 1.32-1.92, P = 9.53E-07) and FM (OR = 1.39, 95%CI: 1.20-1.62, P = 1.35E-0.5) kept significantly related to the risk of HF. Reverse MR analysis showed no association of changes in body size or composition with the onset of HF.

CONCLUSION

The two-sample bidirectional MR study found that general obesity, measured by BMI, was an independent indicator of the development of HF, while other related indicators were associated with HF incidence dependent on BMI, besides, no association was observed between HF diagnosis and the body size or composites.

Predicting Mortality Risks Using Body Mass Index and Weight Loss at Admission in Patients with Heart Failure

BACKGROUND

The association of the combination of body mass index (BMI) and weight change at admission with prognoses in patients with heart failure (HF) is unclear. Therefore, we investigated whether BMI and weight changes at admission affect mortality in patients with HF.

METHODS

This retrospective cohort study lasted 99 months, starting in April 2014, and included 4,862 patients with HF from a Japanese real-world database. Cubic and thin-plate smoothing spline analyses were performed to investigate the association of BMI and weight changes with mortality. The percentage weight change was calculated every 6 months. The study outcome was the presence or absence of death.

RESULTS

The patients' mean age was 81.5±9.6 years, and 1,239 (25.5%) patients died. Cubic spline analysis revealed a negative correlation of BMI with mortality hazard ratio (HR) (BMI of 18.5 kg/m2 and 25 kg/m2; HR=1.3 [1.2-1.4] and 0.8 [0.7-0.9], respectively). Cubic spline analysis of weight change showed that weight loss tended to increase the mortality HR (each 6% decrease in weight change rate was associated with a 1.1 times higher mortality risk (95% CI [1.0-1.2]) Thin-plate smoothing spline analysis showed that the odds ratio (OR) negatively correlated with BMI (1-year mortality: BMI of 18.5 kg/m2, 22 kg/m2, and 25 kg/m2; OR at 0% weight change=1.5, 1.0, and 0.7, respectively; 2-year mortality: BMI=18.5 kg/m2, 22 kg/m2, and 25 kg/m2; OR at 0% weight change=1.4, 0.9, and 0.7, respectively).

CONCLUSION

A low BMI in patients with HF was associated with a higher risk of mortality. Weight loss in patients, regardless of BMI, was associated with a higher OR for mortality.

Inter-relationships between cardiovascular, renal and metabolic diseases: Underlying evidence and implications for integrated interdisciplinary care and management

Cardiovascular, renal and metabolic (CaReMe) diseases are individually among the leading global causes of death, and each is associated with substantial morbidity and mortality. However, as these conditions commonly coexist in the same patient, the individual risk of mortality and morbidity is further compounded, leading to a considerable healthcare burden. A number of pathophysiological pathways are common to diseases of the CaReMe spectrum, including neurohormonal dysfunction, visceral adiposity and insulin resistance, oxidative stress and systemic inflammation. Because of the shared pathology and common co-occurrence of the CaReMe diseases, the value of managing these conditions holistically is increasingly being realized. A number of pharmacological and non-pharmacological approaches have been shown to offer simultaneous metabolic, cardioprotective and renoprotective benefits, leading to improved patient outcomes across the CaReMe spectrum. In addition, increasing value is being placed on interdisciplinary team-based and coordinated care models built on greater integration between specialties to increase the rate of early diagnosis and adherence to practice guidelines, and improve clinical outcomes. This interdisciplinary approach also facilitates integration between primary and specialty care, improving the patient experience, optimizing resources, and leading to efficiencies and cost savings. As the burden of CaReMe diseases continues to increase, implementation of innovative and integrated care delivery models will be essential to achieve effective and efficient chronic disease management and to ensure that patients benefit from the best care available across all three disciplines.

Body mass index, frailty, and outcomes in heart failure with preserved ejection fraction

AIMS

Relationship between body mass index (BMI), frailty, and clinical adverse events remains unclear in patients with heart failure (HF) with preserved ejection fraction (HFpEF) in different patient populations. We aimed to compare the association of BMI, frailty, and clinical adverse events between a US cohort from the Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist (TOPCAT) study and a Chinese cohort from the Heart Failure Registry of Patient Outcomes (HERO) study.

METHODS AND RESULTS

We used data of 1715 participants enrolled from America in the TOPCAT study and 1487 patients with HFpEF in the Chinese registry study, the HERO. We evaluated the relationship between BMI and frailty using multivariate restricted cubic spline logistic regression. Association between frailty and BMI categories and primary outcomes including HF hospitalization, aborted sudden death, and cardiovascular death, all-cause mortality, and HF hospitalization were analysed by Cox proportional hazards models. The patients' mean age was 72 ± 11 years for both study populations, with 50% and 46% female for the TOPCAT study and the HERO study, respectively. Patients in the TOPCAT study had a higher mean BMI (33.9 vs. 24 kg/m2), with 72.3% vs. 52.9% defined as moderately to severely frail (frailty index > 0.3). In the TOPCAT study, risk of frailty rose as BMI increased, but not in the HERO study. Patients with frailty were at significant higher risk for the primary composite outcomes [hazard ratio (HR) 1.84 (95% confidence interval: 1.46-2.32)], all-cause mortality [HR 1.73 (1.34-2.25)], and HF hospitalization [HR 1.83 (1.40-2.40)] in the TOPCAT study. The corresponding numbers in the HERO study were 1.26 (1.01-1.57), 2.21 (1.45-3.35), and 1.15 (0.81-1.37), respectively. The association of frailty with clinical outcomes did not vary with BMI categories in the two studies.

CONCLUSIONS

BMI distribution and association between BMI and frailty risk were different between the two study populations. Frailty was associated with clinical adverse events and this association was consistent across different BMI categories in both studies.

Effect of abnormal body weight on mortality and functional recovery in adults after stroke: An umbrella review

BACKGROUND

Several published systematic reviews have drawn conflicting conclusions on the effect of abnormal body weight (i.e. being underweight, overweight or obese) on outcomes following stroke. The 'obesity paradox' seen in several diseases (wherein obesity, often associated with mortality and morbidity, appears to be protective and improve outcomes) may be evident after stroke, but inconsistent results of existing reviews, and the issue of being underweight, are worth investigating further.

AIMS

To better understand the impact of body weight on prognosis after stroke, we aimed to answer the following research question: What is the effect of abnormal body weight (underweight, overweight, or obesity) on mortality and functional recovery in adults after stroke?

SUMMARY OF REVIEW

We conducted an umbrella review to synthesize existing evidence on the effects of abnormal body weight on stroke outcomes. We searched Cumulated Index to Nursing and Allied Health Literature (CINAHL) Complete, COCHRANE Database of Systematic Reviews, PubMed, Medline, PEDro, and EMBASE Classic + EMBASE, from inception until 28 February 2023. Seven systematic reviews (1,136,929 participants) from 184 primary studies (counting duplicates) were included. While the risk of mortality increases with being underweight (body mass index (BMI) < 18.5 kg/m2), excess body weight (being overweight (BMI = 25-29.9 kg/m2) or obese (BMI > 30 kg/m2)) is associated with reduced mortality. The impact of abnormal body weight on functional recovery is less clear; data from studies of being underweight are associated with poor functional outcomes while those from studies of excess body weight are inconclusive.

CONCLUSION

Abnormal body weight effects post-stroke outcomes and should be considered in clinical decision-making, prognostic research, and clinical trials of rehabilitation interventions. The "obesity paradox" is evident after stroke, and excess body weight is associated with reduced mortality compared to normal body weight. It is recommended that body weight is routinely recorded for stroke patients, and further research, including well-designed cohort studies with reliable weight data, is needed to further investigate the impact of body weight and distribution on post-stroke outcomes.

Impact of Body Mass Index on outcomes in hospitalized heart failure patients with reduced versus preserved ejection fraction: a 1,699,494-individual analysis from the United States National Inpatient Sample

BACKGROUND

Obesity's effect on outcomes in heart failure (HF) patients with reduced versus maintained ejection fraction (HFrEF and HFpEF) remains debatable. We evaluated hospital outcomes and healthcare expenditures in these patients based on their Body Mass Index (BMI).

METHODS

Using the USA National Inpatient Sample (NIS) database, patients >18 years admitted with a primary diagnosis of HFrEF or HFpEF between January 1, 2004, and August 31, 2015, were studied. Patients were stratified into the following BMI categories: underweight, normal weight, overweight, obese, and morbidly obese. Adjusted multivariable analyses using Poisson regression models were used to study the association between BMI and hospital outcomes and healthcare costs.

RESULTS

Overall, 1,699,494 patients were included. After full adjustment, obesity (OR=1.84; 95% CI: 1.22-2.76) and morbid obesity (OR=1.81; 95% CI: 1.22-2.70) increased the odds of in-hospital mortality compared with normal weight. When stratified per ejection fraction, underweight patients had higher odds of in-hospital mortality in HFrEF (OR=1.46; 95% CI: 1.06-2.01). Obese and morbidly obese patients had higher odds of in-hospital mortality in both HFrEF and HFpEF. Furthermore, obese and morbidly obese patients had a longer mean adjusted length of stay and higher health care expenses.

CONCLUSIONS

Being underweight is associated with increased risk of in-hospital mortality in HFrEF patients. Obesity and morbid obesity increase the risk of in-hospital mortality and higher healthcare costs in both HFrEF and HFpEF. These findings have clinical significance for HF patients, and further research is needed to investigate the ideal weight for HF patients.

Association between chronic obstructive pulmonary disease and in-hospital mortality after percutaneous coronary intervention: a retrospective cohort study in Germany

Chronic obstructive pulmonary disease (COPD) is one of the leading chronic diseases worldwide. However, the impact of COPD on outcome after percutaneous coronary intervention (PCI) remains unclear. In this retrospective cohort study, we analyzed the data of hospitalized patients undergoing PCI in Germany between 2015 and 2019. We compared in-hospital mortality, hospital length of stay and peri-interventional ventilation time (VT) in patients with and without COPD, including different COPD severity grades, COPD with exacerbation (COPDe) and infection (COPDi). We analyzed the data of 3,464,369 cases undergoing PCI. A total of 291,707 patients (8.4%) suffered from COPD. Patients suffering from COPD died more often (2.4% vs. 2.0%; p < 0.001), stayed longer hospitalized (5 days (2-10) vs. 3 days (1-6); p < 0.001), were more frequent (7.2% vs. 3.2%) and longer ventilated (26 h (7-88) vs. 23 h (5-92); p < 0.001). Surprisingly, COPD was associated with a 0.78-fold odds of in-hospital mortality and with reduced VT (- 1.94 h, 95% CI, - 4.34 to 0.43). Mild to severe COPD was associated with a lower risk of in-hospital mortality and reduced VT, whereas very severe COPD, COPDe and COPDi showed a higher risk of in-hospital mortality. We found a paradoxical association between mild to severe COPD and in-hospital mortality, whereas very severe COPD, COPDe and COPDi were associated with higher in-hospital mortality. Further investigations should illuminate, whether comorbidities affect these associations.

Weight changes from early to middle adulthood and cardiometabolic multimorbidity later in life among middle-aged and older adults: a retrospective cohort study from the NHANES 1999-2018

Background

Weight gain in adulthood can influence the development of diabetes and cardiovascular diseases. It is speculated that weight gain is related to cardiometabolic multimorbility (CMM). This study was designed to examine the relationships between weight changes from early to middle adulthood and the risk of CMM.

Methods

Data of the National Health and Nutrition Examination Survey (NHANES) 1999-2018 cycles were analyzed in the present study. Weights at age 25 years and 10 years before recruitment were self-reported and were used to define five weight change patterns including stable normal, maximum overweight, obesity to non-obesity, non-obesity to obesity, and stable obesity patterns. Meanwhile, absolute weight changes were classified into five groups: weight loss≥ 2.5 kg, weight change within 2.5 kg, 2.5 kg≤ weight gain < 10.0 kg, 10.0 kg≤ weight gain < 20.0 kg, and weight gain≥ 20.0 kg. CMM was defined as the coexistence of two or three of diabetes, coronary heart disease (CHD), and stroke.

Results

A total of 25,994 participants were included. Across adulthood, compared to stable normal weight, maximal overweight, obesity to non-obesity, non-obesity to obesity, and stable obesity were consistently associated with increased risks of diabetes, CHD, and CMM. For instance, stable obesity was respectively related to 358.0% (HR: 4.58, 95% CI: 4.57, 4.58), 88.0% (HR: 1.88, 95% CI: 1.88, 1.88), and 292.0% (HR: 3.92, 95% CI: 3.91, 3.92) higher risks of diabetes, CHD, and CMM. Meanwhile, any account of weight loss and gain was linked to higher risks of diabetes, CHD, and CMM than weight change within 2.5 kg. However, participants with maximum overweight had a decreased incidence of stroke (HR: 0.85, 95% CI: 0.85, 0.86), and weight loss ≥ 2.5 kg and weight gain ≥ 2.5 and <20 kg were also related to a lower risk of stroke. J-shaped or U-shaped associations of absolute weight changes with the risks of diabetes, CHD, and CMM were observed.

Conclusions

Maintaining a stable normal weight can benefit more from the prevention of diabetes, CHD, and CMM. Both weight gain and loss across adulthood were accompanied by increased risks of diabetes, CHD, and CMM.

The impact of sex, body mass index and chronic kidney disease on outcomes following percutaneous coronary intervention

OBJECTIVE

This study sought to evaluate 1) the relationship between body mass index (BMI), chronic kidney disease (CKD) and bleeding complications in patients undergoing percutaneous coronary intervention (PCI); and 2) whether CKD modified the effect of BMI on major bleeding and major adverse cardiac and cerebrovascular events (MACCE).

BACKGROUND

The interaction of CKD, sex and BMI in patients undergoing PCI is unclear.

METHODS

Between 2010 and 2018, a total of 31,116 patients underwent PCI at six New York metropolitan area hospitals. Bleeding complications were classified by the Bleeding Academic Research Consortium (BARC). Major bleeding was defined as BARC≥3. MACCE was the composite of in-hospital death; myocardial infarction; cerebrovascular events and major bleeding complications. Interaction on multiplicative scales was assessed adjusting for other factors. A three-way multiplicative interaction between BMI, CKD and sex were considered and evaluated for both endpoints of primary interest (BARC≥3 and MACCE).

RESULTS

Patients with BARC≥3 bleeding were older (p < 0.0001) and more likely female (p < 0.0001). A 3-way interaction existed between sex, BMI, and CKD on BARC≥3 (p = 0.02). Specifically, the effect of CKD status on odds of BARC≥3 depended on BMI group among males, whereas BMI did modify the relationship between CKD and BARC≥3 among females; after stratification by sex, a significant interaction between BMI and CKD was present in females (p = 0.03) but not in males (p = 0.43). Among females without CKD, normal BMI patients had the greatest odds of BARC≥3 compared to obese or overweight females. Contrasted to females without CKD, among females with CKD there was no significant increased odds of BARC≥3 in normal BMI patients compared to obese or overweight females. However, overweight females with CKD had a significantly increased odds of BARC≥3 compared to obese females with CKD. Furthermore, obese females with CKD had significantly greater BARC≥3 odds compared to obese females without CKD. Similarly, overweight females with CKD had an increased odds of BARC≥3 compared to overweight females without CKD. No significant interactions were found for the odds of MACCE.

CONCLUSION

In patients undergoing PCI, there was evidence of a significant and complex 3-way interaction between BMI, CKD and sex for major bleeding events. The predicted probability of major bleeding was greater for females than for male patients, and for both sexes, greater among those with CKD, but BMI group influences these probabilities. Obese females with kidney disease had the lowest incidence of bleeding complications when compared with overweight or normal weight female patients undergoing PCI. This interaction was not seen in the male group or for MACCE. Furthermore, age, cardiogenic shock, STEMI and use of IABP/Impella were each independently associated with odds of major bleeding (among both males and females) and MACCE.

Sex-specific impact of mild obesity on the prognosis of ST-segment elevation myocardial infarction

This study aimed to clarify the existence of the mild obesity paradox in patients with ST-segment elevation myocardial infarction (STEMI) and assess the impact of mild obesity on the prognosis of STEMI. A retrospective cohort study was conducted on STEMI patients who underwent percutaneous coronary intervention at Xiangtan Central Hospital from January 1, 2020 to July 31, 2022. After excluding individuals with a body mass index (BMI) of no less than 35 kg/m2, subjects were divided into the mildly obese group (BMI, 30-35 kg/m2) and non-obese group (BMI < 30 kg/m2). The cardiovascular events and death were deemed the composite endpoints and were employed as the outcome event. The study recruited 664 patients with STEMI, including 515 males and 149 females. The mildly obese group of male patients exhibited a lower incidence of composite endpoints than the non-obese group (22.4% vs. 41.3%, P < 0.001). For female patients, no significant difference was observed in the incidence of composite endpoints between the two groups (43.6% vs. 43.8%, P = 0.987). After adjusting for confounding factors, the multivariable Cox regression analysis revealed mild obesity as an independent protective factor for male patients [hazard ratio (HR) 0.47; 95% confidence interval (CI) 0.32-0.69; P < 0.001]. Nevertheless, mild obesity was not associated with the prognosis of female patients (HR 0.96; 95% CI 0.47-1.94; P = 0.9). In male STEMI patients, mild obesity presented a paradoxical effect in improving the prognosis and functioned as an independent protective factor for the prognosis of STEMI. However, no association between mild obesity and prognosis was found in female patients, possibly due to distinct physiological and metabolic characteristics between male and female patients, which deserved further investigation and validation.

Changes in body mass index and waist circumference and heart failure in type 2 diabetes mellitus

Background

To determine the association of unintentional changes in body mass index (BMI) and waist circumference (WC) with the risk of heart failure (HF) among adults with type 2 diabetes mellitus (T2DM).

Methods

This was a randomized controlled trial (the Action to Control Cardiovascular Risk in Diabetes [ACCORD] study), with a double 2×2 factorial design conducted at 77 clinical centers across the United States and Canada. In total, the study comprised 10,251 patients with T2DM and cardiovascular disease (CVD) or at a high risk of CVD. The outcome of interest in the present analysis was incident HF, defined as the first hospitalization event for HF or death due to HF. Hospitalization for HF was based on documented clinical and radiological evidence. Death due to HF was based on clinical, radiological, or postmortem evidence of HF, with an absence of an acute ischemic event according to clinical or postmortem evidence.

Results

Participants with class III obesity had the smallest BMI and WC changes, followed by those with normal weight, overweight, class I obesity, and class II obesity. Increasing BMI (hazard ratio [HR] per standard deviation increase, 1.24; 95% confidence interval [CI], 1.07-1.45) and WC (1.27; 1.10-1.47) were significantly associated with a higher risk of HF. The relationship between BMI and WC changes and HF formed a J-shaped curve, while stable BMI and WC were associated with lower risks of HF. Compared with participants in the first tertiles of BMI and WC change, those in the third tertiles had HRs of 1.41 (95% CI, 1.07-1.45) and 1.48 (1.12-1.95), respectively.

Conclusion

In conclusion, our findings suggest a noteworthy association between BMI and WC changes among adults with T2DM in HF. We observed a distinctive J-shaped curve in this relationship, indicating that participants with both low and high BMI and WC changes were more susceptible to developing HF.

Trial registration

http://www.clinicaltrials.gov. Unique identifier: NCT00000620.

Rapid weight change as a predictor of disability among community-dwelling Japanese older adults

AIM

To fill the knowledge gap regarding weight change and the onset of disability in community-dwelling Japanese older adults, we investigated the potential effects of rapid weight change on disability risk as defined by Japan's long-term care insurance (LTCI) system.

METHODS

We analyzed data from a longitudinal study of 10 375 community-dwelling older Japanese adults (≥65 years) who were not LTCI needs certified at baseline and joined the study from 2002 to 2005. Weight change (percentage) was calculated by subtracting participants' weight in the previous year from that measured during a physical examination at study commencement. The five weight-change categories ranged from sizable weight loss (≤ -8.0%) to sizable weight gain (≥ +8.0%). Disability was defined according to LTCI certifications at follow-up. Hazard ratios (HRs) and 95% confidence intervals were calculated for new-onset disability using a Cox proportional hazards model that fitted the proportional subdistribution hazards regression model with weights for competing risks of death.

RESULTS

During the mean 10.5-year follow-up, 2994 participants developed a disability. Sizable weight loss (HR [95% confidence intervals], 1.41 [1.17-1.71]) and weight loss (1.20 [1.05-1.36]) were significant predictors of disability onset. Sizable weight gain (1.45 [1.07-1.97]) corresponded to severe disability. Stratified analyses by lifestyle and initial body mass index categories revealed more pronounced associations between weight change and disability risk in the unhealthy lifestyle and below initial normal body mass index groups.

CONCLUSIONS

Rapid and sizable weight gain could be additional criteria for disability risk in older adults. Geriatr Gerontol Int 2023; 23: 809-816.

Obesity in Heart Failure with Reduced Ejection Fraction: Time to Address the Elephant in the Room

Obesity has been long recognized as a risk factor for the development of heart failure, but recent evidence suggests obesity is more typically associated with heart failure with preserved ejection fraction as opposed to heart failure with reduced ejection fraction (HFrEF). Nevertheless, numerous studies have found that obesity modulates the presentation and progression of HFrEF and may contribute to the development of HFrEF in some patients. Although obesity has definite negative effects in HFrEF patients, the effects of intentional weight loss in HFrEF patients with obesity have been poorly studied.

Loss of body weight and lean mass in long-stay, hospitalized canine patients

A high prevalence of malnutrition occurs in human hospitals and has been associated with detrimental consequences. By comparison, much less is known in hospitalized veterinary patients. The aims of this study were to evaluate the prevalence of malnutrition and body composition changes in long-stay hospitalised patients using an isotopic dilution technique. An additional objective was to compare the changes in composition with commonly used methods measuring body fat and lean mass. The dogs consumed on average 77.5% of their estimated resting energy requirements during their stay. The majority (78.3%) of dogs lost body weight, of which a greater proportion was lean mass (61.8%) than fat mass (FM) (38.2%). There was a moderate correlation between body condition score and percentage FM measured at admission (Kendall's τ = 0.51; p = 0.002), and at discharge (Kendall's τ = 0.55; p = 0.001). However, there was no correlation between muscle condition score and fat-free mass at either admission or discharge (p > 0.1). Duration of stay was positively associated with loss of body weight (p < 0.001), but was not associated with changes in either lean or FM expressed as a percentage of body weight or in absolute terms (p > 0.1), which was presumed to be explained by small sample size and variation. Food intake was not found to a significant factor for lean or FM loss (p > 0.1). These findings indicate that weight loss is common in hospitalized canine patients, which is not explained by simple under-eating. Other factors such as inflammation and inactivity should be evaluated in future studies to determine their role in influencing muscle and FM changes in hospitalized canine patients.

Incidence of atrial and ventricular arrhythmias in obese patients with heart failure with reduced ejection fraction treated with sacubitril/valsartan

AIM

To compare clinical outcomes among patients with heart failure and reduced ejection fraction (HFrEF) according to body mass index (BMI) after initiating treatment with an angiotensin-receptor neprilysin inhibitor (ARNI).

METHODS

We gathered data from 2016 to 2020 at the University Medical Center Mannheim; 208 consecutive patients were divided into two groups according to BMI (< 30 kg/m2 ; n = 116, ≥ 30 kg/m2 ; n = 92). Clinical outcomes, including mortality rate, all-cause hospitalizations and congestion, were systematically analysed.

RESULTS

At the 12-month follow-up, the mortality rate was similar in both groups (7.9% in BMI < 30 kg/m2 vs. 5.6% in BMI ≥ 30 kg/m2 ; P = .76). All-cause hospitalization before ARNI treatment was comparable in both groups (63.8% in BMI < 30 kg/m2 vs. 57.6% in BMI ≥ 30 kg/m2 ; P = .69). After ARNI treatment, the hospitalization rate was also comparable in both groups at the 12-month follow-up (52.2% in BMI < 30 kg/m2 vs. 53.7% in BMI ≥ 30 kg/m2 ; P = .73). Obese patients experienced more congestion compared with non-obese patients at follow-up, without statistical significance (6.8% in BMI < 30 kg/m2 vs. 15.5% in BMI ≥ 30 kg/m2 ; P = .11). Median left ventricular ejection fraction (LVEF) improved in both groups, but significantly more in non-obese compared with obese patients at the 12-month follow-up (from 26% [3%-45%] [min.-max.] vs. 29% [10%-45%] [min.-max.] [P = .56] to 35.5% [15%-59%] [min.-max.] vs. 30% [13%-50%] [min.-max.] [P = .03], respectively). The incidence of atrial fibrillation (AF), non-sustained (ns) and sustained ventricular tachycardia (VT) and ventricular fibrillation (VF) was less in non-obese than in obese patients after initiation of sacubitril/valsartan at the 12-month follow-up (AF: 43.5% vs. 53.7%; P = .20; nsVT: 9.8% vs. 28.4%; P = .01; VT: 14.1% vs. 17.9%; P = .52; VF: 7.6% vs. 13.4%; P = .23).

CONCLUSIONS

The incidence of congestion in obese patients was higher compared with non-obese patients. LVEF improved significantly more in non-obese compared with obese HFrEF patients. Furthermore, AF and the ventricular tachyarrhythmia rate were revealed more in obesity compared with those without obesity at the 12-month follow-up.

Underweight status and development of end-stage kidney disease: A nationwide population-based study

BACKGROUND

Underweight status increases the risk of cardiovascular disease and mortality in the general population. However, whether underweight status is associated with an increased risk of developing end-stage kidney disease is unknown.

METHODS

A total of 9 845 420 participants aged ≥20 years who underwent health checkups were identified from the Korean National Health Insurance Service database and analysed. Individuals with underweight (body mass index [BMI] < 18.5 kg/m2 ) and obesity (BMI ≥ 25 kg/m2 ) were categorized according to the World Health Organization recommendations for Asian populations.

RESULTS

During a mean follow-up period of 9.2 ± 1.1 years, 26 406 participants were diagnosed with end-stage kidney disease. After fully adjusting for other potential predictors, the moderate to severe underweight group (<17 kg/m2 ) had a significantly higher risk of end-stage kidney disease than that of the reference (normal) weight group (adjusted hazard ratio, 1.563; 95% confidence interval, 1.337-1.828), and competing risk analysis to address the competing risk of death also showed the similar results (adjusted hazard ratio, 1.228; 95% confidence interval, 1.042-1.448). Compared with that of the reference BMI group (24-25 kg/m2 ), the adjusted hazard ratios for end-stage kidney disease increased as the BMI decreased by 1 kg/m2 . In the sensitivity analysis, sustained underweight status or progression to underweight status over two repeated health checkups, when compared with normal weight status, had a higher hazard ratio for end-stage kidney disease.

CONCLUSIONS

Underweight status is associated with an increased risk of end-stage kidney disease, and this association gradually strengthens as BMI decreases.

Predictors of outcomes in patients with obesity following mitral valve surgery

Objective

Few studies have assessed the outcomes of mitral valve surgery in patients with obesity. We sought to study factors that determine the in-hospital outcomes of this population to help clinicians provide optimal care.

Methods

A retrospective analysis of adult patients with obesity who underwent open mitral valve replacement or repair between January 1, 2012, and December 31, 2020, was conducted using the National Inpatient Sample. Weighted logistic regression and random forest analyses were performed to assess factors associated with mortality and the interaction of each variable.

Results

Of the 48,775 patients with obesity, 34% had morbid obesity (body mass index ≥40), 55% were women, 66% underwent elective surgery, and 55% received isolated open mitral valve replacement or repair. In-hospital mortality was 5.0% (n = 2430). After adjusting for important covariates, a greater risk of mortality was associated with older patients (adjusted odds ratio [aOR], 1.24; 95% CI, 1.08-1.43), higher Elixhauser comorbidity score (aOR, 2.10; 95% CI, 1.87-2.36), prior valve surgery (aOR, 1.63; 95% CI, 1.01-2.63), and more than 2 concomitant procedures (aOR, 2.83; 95% CI, 2.07-3.85). Lower mortality was associated with elective admissions (aOR, 0.70; 95% CI, 0.56-0.87) and valve repair (aOR, 0.58; 95% CI, 0.46-0.73). Machine learning identified several interactions associated with early mortality, such as Elixhauser score, female sex, body mass index ≥40, and kidney failure.

Conclusions

The complexity of presentation, comorbidities in older and female patients, and morbid obesity are independently associated with an increased risk of mortality in patients undergoing open mitral valve replacement or repair. Morbid obesity and sex disparity should be recognized in this population, and physicians should consider older patients and females with multiple comorbidities for earlier and more opportune treatment windows.

Skeletal and cardiac muscle have different protein turnover responses in a model of right heart failure

Right heart failure (RHF) is a common and deadly disease in aged populations. Extra-cardiac outcomes of RHF such as skeletal muscle atrophy contribute to morbidity and mortality. Despite the significance of maintaining right ventricular (RV) and muscle function, the mechanisms of RHF and muscle atrophy are unclear. Metformin (MET) improves cardiac and muscle function through the regulation of metabolism and the cellular stress response. However, whether MET is a viable therapeutic for RHF and muscle atrophy is not yet known. We used deuterium oxide labeling to measure individual protein turnover in the RV as well as subcellular skeletal muscle proteostasis in aged male mice subjected to 4 weeks of hypobaric hypoxia (HH)-induced RHF. Mice exposed to HH had elevated RV mass and impaired RV systolic function, neither of which was prevented by MET. HH resulted in a higher content of glycolytic, cardiac, and antioxidant proteins in the RV, most of which were inhibited by MET. The synthesis of these key RV proteins was generally unchanged by MET, suggesting MET accelerated protein breakdown. HH resulted in a loss of skeletal muscle mass due to inhibited protein synthesis alongside myofibrillar protein breakdown. MET did not impact HH-induced muscle protein turnover and did not prevent muscle wasting. Together, we show tissue-dependent responses to HH-induced RHF where the RV undergoes hypertrophic remodeling with higher expression of metabolic and stress response proteins. Skeletal muscle undergoes loss of protein mass and atrophy, primarily due to myofibrillar protein breakdown. MET did not prevent HH-induced RV dysfunction or muscle wasting, suggesting that the identification of other therapies to attenuate RHF and concomitant muscle atrophy is warranted.

Influence of weight variation on long-term mortality of patients with heart failure

BACKGROUND

In heart failure, weight loss predicts dismal prognosis. Weight variations have not been addressed in obese patients with heart failure.

AIM

To study the impact of weight variation on heart failure mortality according to body mass index strata.

METHODS

Retrospective study of patients with chronic heart failure with left ventricular ejection fraction<50%. Only patients with ≥1 year of follow-up were included. Patients with missing data for body mass index at the index and 1-year appointments were excluded. Patients were classified into three groups according to weight variation: weight gain>5%; weight loss>5%; and weight stability. Follow-up was set from the 1-year appointment. Cox-regression analysis was used to assess the prognostic impact of weight variation.

RESULTS

We studied 589 patients: 69.8% male; mean age, 69 years. Over 1 year, 148 patients (25.1%) gained>5% weight, 97 (16.5%) lost>5% weight and the remaining 344 were weight-stable. During 49 months of median follow-up, 248 patients died. Patients who lost>5% of their weight presented a higher death risk than the others (hazard ratio 1.61, 95% confidence interval 1.18-2.19). After multivariable adjustment, the hazard ratio for death for low/normal-weight patients who lost>5% of their weight was 1.81 (95% confidence interval 1.02-3.21; P=0.04) compared with the others. Among the overweight, those who lost>5% of their weight had a hazard ratio of 2.34 (95% confidence interval 1.32-4.12). In the initially obese subgroup, weight loss>5% was not associated with prognosis (hazard ratio 1.08, 95% confidence interval 0.53-2.19).

CONCLUSIONS

Weight loss predicted mortality in low/normal-weight and overweight patients with heart failure. However, in obese patients, significant weight loss did not predict poorer survival. Weight loss should not be discouraged in obese patients with heart failure.

Association between different adiposity measures and all-cause mortality risk among centenarians: A prospective cohort study

IMPORTANCE

Little evidence on the association between adiposity measures and all-cause mortality was observed among centenarians, and no targeted development of optimal weight recommendations for them.

OBJECTIVE

To comprehensively assess the association between adiposity indices and all-cause mortality among centenarians.

DESIGN SETTING, AND PARTICIPANTS

This prospective population-based cohort study included 1002 centenarians registered in 18 counties and cities in Hainan Province from June 2014 to May 2021. The age of participants at baseline was provided by the civil affairs bureau and verified before enrollment.

MAIN OUTCOMES AND MEASURES

All-cause mortality was rigorously confirmed as the primary outcome. BMI was calculated by height and weight. BRI was calculated by height and waist circumference.

RESULTS

At baseline, the mean (SD) age was 102.8 ± 2.7 years, and 180 participants (18.0%) were men. The median follow-up time was 5.0 (4.8-5.5) years, with 522 deaths. In BMI categories, compared with the lowest group (mean BMI = 14.2 kg/m2), the highest group (mean BMI = 22.2 kg/m2) had lower mortality (hazard ratio [HR], 0.61; 95%CI, 0.47-0.79) (P for trend = 0.001). In BRI categories, compared with the lowest group (mean BRI = 2.3), the highest group (mean BRI = 5.7) had lower mortality (hazard ratio [HR], 0.66; 95%CI, 0.51-0.85) (P for trend = 0.002), and the risk did not decrease after BRI exceeded 3.9 in women. Higher BRI was associated with lower HRs after adjusting for interaction with comorbidities status. E-values analysis suggested robustness to unmeasured confounding.

CONCLUSIONS AND RELEVANCE

BMI and BRI were inverse linear associated with mortality risk in the whole population, while BRI was observed to be J-shaped in women. The interaction of lower multiple complication incidence and BRI had a significant effect on the reduced risk of all-cause mortality.

Non-linear association between body weight and functional outcome after acute ischemic stroke

This study aimed to determine whether body weight is associated with functional outcome after acute ischemic stroke. We measured the body mass index (BMI) and assessed clinical outcomes in patients with acute ischemic stroke. The BMI was categorized into underweight (< 18.5 kg/m²), normal weight (18.5-22.9 kg/m²), overweight (23.0-24.9 kg/m²), and obesity (≥ 25.0 kg/m²). The association between BMI and a poor functional outcome (modified Rankin Scale [mRS] score: 3-6) was evaluated. We included 11,749 patients with acute ischemic stroke (70.3 ± 12.2 years, 36.1% women). The risk of a 3-month poor functional outcome was higher for underweight, lower for overweight, and did not change for obesity in reference to a normal weight even after adjusting for covariates by logistic regression analysis. Restricted cubic splines and SHapley Additive exPlanation values in eXtreme Gradient Boosting model also showed non-linear relationships. Associations between BMI and a poor functional outcome were maintained even after excluding death (mRS score: 3-5) or including mild disability (mRS score: 2-6) as the outcome. The associations were strong in older patients, non-diabetic patients, and patients with mild stroke. Body weight has a non-linear relationship with the risk of a poor functional outcome after acute ischemic stroke.

The prognostic effects of the geriatric nutritional risk index on elderly acute kidney injury patients in intensive care units

Introduction

The geriatric nutritional risk index (GNRI), a nutritional screening tool specifically for the aging population, has been proven to be associated with worse outcomes in chronic kidney disease patients, especially in the hemodialysis population. However, the predictive validity of GNRI in critically ill elderly patients with acute kidney injury (AKI) is yet to be determined. This analysis sought to examine the prognostic effects of GNRI on elderly AKI patients in intensive care units (ICUs).

Methods

We collected elderly AKI patient-relevant data from the Medical Information Mart for Intensive Care III database. AKI was diagnosed and staged according to the "Kidney Disease Improving Global Outcomes" criteria. In the study, 1-year mortality was considered the primary outcome, whereas in-hospital, ICU, 28-day and 90-day mortality, and prolonged length of stay in ICU and hospital were selected as the secondary outcomes.

Results

In all, 3,501 elderly patients with AKI were selected for this study, with a 1-year mortality rate of 36.4%. We classified the study population into low (≤98) and high (>98) GNRI groups based on the best cutoff value. The incidence of endpoints was remarkably lower in patients with elevated GNRI (p < 0.001). When stratified by the AKI stage, patients with high GNRI at AKI stages 1, 2, and 3 had markedly lower 1-year mortality than those with low GNRI (all p < 0.05). The multivariable regression analysis identified the independent prognostic ability of GNRI on the research outcomes (all p < 0.05). Restricted cubic spline exhibited a linear correlation between GNRI and 1-year death (p for non-linearity = 0.434). The prognostic implication of GNRI on 1-year mortality was still significant in patients with the most subgroups.

Conclusion

In critically ill elderly patients with AKI, elevated GNRI upon admission was strongly correlated with a lower risk of unfavorable outcomes.

The Impact of BMI Changes on the Incidence of Glomerular Hematuria in Korean Adults: A Retrospective Study Based on the NHIS-HEALS Cohort

Obesity and recurrent hematuria are known risk factors for chronic kidney disease. However, there has been controversy on the association between obesity and glomerular hematuria. This study aimed to investigate the association between body mass index (BMI) and weight change and recurrent and persistent hematuria in glomerular disease using a large-scale, population-based Korean cohort. Data were collected from the National Health Insurance Service-National Health Screening Cohort. Cox proportional hazards regression analysis was used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for recurrent and persistent hematuria in glomerular disease according to the BMI group. Compared with the BMI 23-25 kg/m² group, the HR (95% CI) for incident recurrent and persistent hematuria in glomerular disease was 0.921 (0.831-1.021) in the BMI <23 kg/m² group, 0.915 (0.823-1.018) in the BMI 25-30 kg/m² group, and 1.151 (0.907-1.462) in the BMI ≥30 kg/m² group. Compared with the stable weight group, the HRs (95% CIs) for incident recurrent and persistent hematuria in glomerular disease were 1.364 (1.029-1.808) and 0.985 (0.733-1.325) in the significant weight loss and gain groups, respectively. Despite adjusting for confounders, this result remained significant. Baseline BMI was not associated with the risk of incident recurrent and persistent hematuria in glomerular disease. Weight loss greater than 10% was associated with the incidence of recurrent and persistent hematuria in glomerular disease. Therefore, maintaining an individual's weight could help prevent recurrent and persistent hematuria in glomerular disease in middle-aged and older Korean adults.

The obesity paradox in patients with acute coronary syndromes over 2 decades - the ACSIS registry 2000-2018

BACKGROUND

Obesity is a worldwide epidemic which is associated with major cardiovascular (CV) risk factors. Nevertheless, substantial distant data, mostly published more than a decade ago, have demonstrated an obesity paradox, where obese patients generally have a better short- and long-term prognosis than do their leaner counterparts with the same CV profile. Nonetheless, it is not fully elucidated whether the obesity paradox is still relevant in the contemporary cardiology era among patients with acute coronary syndrome (ACS). We aimed to examine temporal trends in the clinical outcomes of ACS patients by their BMI status.

METHODS

Data from the ACSIS registry including all patients with calculated BMI data between the years 2002-2018. Patients were stratified by BMI groups to underweight, normal, overweight and obese. Clinical endpoints included 30d major cardiovascular events (MACE), and 1-year mortality. Temporal trends were examined in the late (2010-2018) vs. the early period (2002-2008). Multivariable models examined factors associated with clinical outcomes by BMI status.

RESULTS

Among the 13,816 patients from the ACSIS registry with available BMI data, 104 were underweight, 3921 were normal weight, 6224 were overweight and 3567 were obese. 1-year mortality was highest among underweight patients (24.8%), as compared to normal weight patients (10.7%) and lowest among overweight and obese patients (7.1% and 7.5% respectively; p for trend <0.001). 30-day MACE rates followed a similar pattern (24.3% for underweight, 13.6% for normal weight, 11.6% for overweight, and 11.7% for obese; p for trend<0.001). Comparing the 2 time-periods, 30-day MACE was significantly lower in the late period in all BMI groups, but unchanged in patients who were underweight. Similarly, 1-year mortality has decreased in normal weight and obese patients but remained similarly high in underweight patients.

CONCLUSIONS

In ACS patients, during 2-decades, 30-day MACE and 1-year mortality were lower among overweight and obese patients compared to underweight and even normal weight patients. Temporal trends revealed that 30-day MACE and 1-year mortality have decreased among all BMI groups other than the underweight ACS patients, among whom the adverse CV rates were consistently high. Our findings suggest that the obesity paradox is still relevant in ACS patients in the current cardiology era.

Sources and severity of bias in estimates of the BMI-mortality association

Estimates of mortality differences by body mass index (BMI) are likely biased by: (1) confounding bias from heterogeneity in body shape; (2) positive survival bias in high-BMI samples due to recent weight gain; and (3) negative survival bias in low-BMI samples due to recent weight loss. I investigate these sources of bias in the National Health and Nutrition Examination Survey (NHANES) 1988-94 and 1999-2006 linked to mortality up to 2015 (17,784 cases; 4,468 deaths). I use Cox survival models to estimate BMI differences in all-cause mortality risks among adults aged [45-85) in the United States. I test for age-based differences in BMI-mortality associations and estimate functional forms of the association using nine BMI levels. Estimates of the BMI-mortality association in NHANES data are significantly affected by all three biases, and obesity-mortality associations adjusted for bias are substantively strong at all ages. The mortality consequences of overweight and obesity have likely been underestimated, especially at older ages.

Obesity Paradox: Fact or Fiction?

PURPOSE OF REVIEW

Obesity is related to several comorbidities such as type 2 diabetes mellitus, cardiovascular disease, heart failure, and various types of cancers. While the detrimental effect of obesity in both mortality and morbidity has been well established, the concept of the obesity paradox in specific chronic diseases remains a topic of continuous interest. In the present review, we examine the controversial issues around the obesity paradox in certain conditions such as cardiovascular disease, several types of cancer and chronic obstructive pulmonary disease, and the factors that may confound the relation between obesity and mortality.

RECENT FINDINGS

We refer to the obesity paradox when particular chronic diseases exhibit an interesting "paradoxical" protective association between the body mass index (BMI) and clinical outcomes. This association, however, may be driven by multiple factors among which the limitations of the BMI itself; the unintended weight loss precipitated by chronic illness; the various phenotypes of obesity, i.e., sarcopenic obesity or the athlete's obesity phenotype; and the cardiorespiratory fitness levels of the included patients. Recent evidence highlighted that previous cardioprotective medications, obesity duration, and smoking status seem to play a role in the obesity paradox. The obesity paradox has been described in a plethora of chronic diseases. It cannot be emphasized enough that the incomplete information received from a single BMI measurement may interfere with outcomes of studies arguing in favor of the obesity paradox. Thus, the development of carefully designed studies, unhampered by confounding factors, is of great importance.

Association of the body mass index with poor outcome at discharge in patients with aneurysmal subarachnoid hemorrhage: a registry study

Although several studies have reported on the impact of the body mass index (BMI) on functional outcome of aneurysmal subarachnoid hemorrhage (aSAH), the relationship remains unclear. This study aimed to investigate the risk factors of poor outcome of aSAH, with particular attention to BMI. A total of 860 patients with aSAH were enrolled in our registry at Shimane Prefectural Central Hospital between 2000 and 2017, of whom 393 were included in the analysis. Basic patient characteristics, including BMI, and data related to aSAH were recorded. We conducted a univariable analysis, followed by a multivariable analysis to identify the risk factors of poor outcome, defined as a modified Rankin Scale score > 2 at discharge. We also compared our study with previous studies that reported a relationship between BMI and aSAH. Multivariable analysis revealed that age (odds ratio [OR], 1.09; 95% confidence interval [CI], 1.07-1.12), underweight (OR, 2.36; 95% CI, 1.13-4.90), overweight (OR, 2.22; 95% CI, 1.06-4.64), World Federation of Neurosurgical Societies grade (III vs I: OR, 3.10; 95% CI, 1.03-9.35; IV vs I: OR, 8.02; 95% CI, 3.54-18.19; V vs I: OR, 13.37; 95% CI, 5.33-33.54), and symptomatic vasospasm (OR, 3.40; 95% CI, 1.73-6.70) were risk factors for poor outcome at discharge. This study showed the association of underweight (BMI < 18.5 kg/m²) and overweight (≥ 25 kg/m²) with poor outcome; therefore, both high and low BMI are associated with a poor outcome at discharge for patients with aSAH. Clinical trial registry: University Hospital Medical Information Network (UMIN000035160; date of registration: December 6, 2018).

Insulin-like growth factor type 2 is a better survival marker than insulin-like growth factor type 1 in patients after acute decompensated heart failure

Introduction

A decreased insulin-like growth factor 1 (IGF-1) level has been found in heart failure (HF). There are no reports assessing IGF-2 in HF, although in vitro research has shown that IGF-2 stimulates cardiomyocyte proliferation more than IGF-1. The study aim was to compare the IGF-1 and IGF-2 concentrations depending on HF exacerbation and annual survival.

Material and methods

Among 75 patients hospitalized due to newly diagnosed or exacerbated HF, the following evaluations were performed: anthropometric measurements, basic laboratory tests, heart echocardiography, and IGF-1 and IGF-2 concentrations. The annual survival was assessed. The participants were divided into NYHA II and NYHA III/IV groups. They did not differ in age, gender, body mass index (BMI), waist-hip ratio, glycated hemoglobin (HbA1c), high-density lipoprotein cholesterol, or triglycerides, but differed in echocardiographic parameters, BNP, total cholesterol (TC) and low-density lipoprotein (LDL) cholesterol levels. Nine (12%) patients died during the 12-month follow-up.

Results

There were no differences in IGF-1 between NYHA groups and depending on the BMI, carbohydrate metabolism disorders and annual survival. A significantly lower IGF-2 concentration was found in NYHA III/IV vs. NYHA II: 583.71 (162.35) vs. 676.08 (172.09), p = 0.02, and in those who died: 501.47 (172.89) vs. 645.31 (166.17) nmol/l, p = 0.04. There was a positive correlation between IGF-2 and TC: r = 0.28, p = 0.015 and LDL: r = 0.29, p = 0.011 in the whole group and among patients with BMI ≥ 25 kg/m2: respectively for TC (r = 0.31, p = 0.014) and LDL (r = 0.28, p = 0.028). No IGF-1 correlation was found.

Conclusions

Reduced IGF-2 concentration is a better marker of patients with more advanced HF and a higher 1-year death risk than low IGF-1. Its secretion may depend on the cholesterol concentration.

Τhe Burden of Obesity on Adult Survivors of Congenital Heart Disease, Past, and Future Directions

The ongoing obesity epidemic has started to ebb. However, as most children with congenital heart disease survive until adulthood, the burgeoning trend has started to spill over in the adult congenital heart disease population as well. This review aims to decipher the prevalence, outcomes, and future directions of obesity in adult survivors of congenital heart disease.

Sex-specific impact of anthropometric parameters on outcomes after transcatheter edge-to-edge repair for secondary mitral regurgitation

BACKGROUND

Body surface area (BSA) has been reported to be the stronger predictor for prognosis than body mass index in heart failure (HF) patients. The sex-specific association of BSA with mortality has been unclear.

METHODS

EuroSMR, a European multicenter registry, included patients who underwent edge-to-edge repair (TEER) for secondary mitral regurgitation (SMR). The outcome was two-year all-cause mortality.

RESULTS

The present cohort included 1594 HF patients (age, 74 ± 10 years; male, 66%). Association of calculated BSA with two-year all-cause mortality was evaluated. Patients were classified into three BSA groups: the lowest 10% (S), the highest 10% (L), and intermediate between S and L (M). Mean BSA was 1.87 ± 0.21 m2 (male, 1.94 ± 0.18 m2; female, 1.73 ± 0.18 m2). The association of BSA with the endpoint in females showed a U-shaped curve, indicating worse prognosis for both S and L. The association in males followed a linear regression, demonstrating better prognosis for L. Hazard ratio (HR) of L to S in males was 0.43 (95% confidence interval [CI], 0.25-0.74; p = 0.002), whereas HR of L to M in females was 1.76 (95% CI, 1.11-2.78; p = 0.016) (p for interaction = 0.003).

CONCLUSIONS

Sex-specific association patterns demonstrate the complex influence of anthropomorphic factors in HF patients scheduled for TEER. Further investigation beyond simple evaluation of weight and height is needed for better comprehension of the obesity paradox and better prediction of the results of transcatheter therapy in HF patients.

The Overweight Paradox: Impact of Body Mass Index on Patients Undergoing VATS Lobectomy or Segmentectomy

The aim of this study was to assess the impact of BMI on perioperative outcomes in patients undergoing VATS lobectomy or segmentectomy. Data from 5088 patients undergoing VATS lobectomy or segmentectomy, included in the VATS Group Italian Registry, were collected. BMI (kg/m²) was categorized according to the WHO classes: underweight, normal, overweight, obese. The effects of BMI on outcomes (complications, 30-days mortality, DFS and OS) were evaluated with a linear regression model, and with a logistic regression model for binary endpoints. In overweight and obese patients, operative time increased with BMI value. Operating room time increased by 5.54 minutes (S.E. = 1.57) in overweight patients, and 33.12 minutes (S.E. = 10.26) in obese patients (P < 0.001). Compared to the other BMI classes, overweight patients were at the lowest risk of pulmonary, acute cardiac, surgical, major, and overall postoperative complications. In the overweight range, a BMI increase from 25 to 29.9 did not significantly affect the length of stay, nor the risk of any complications, except for renal complications (OR: 1.55; 95% CI: 1.07-2.24; P = 0.03), and it reduced the risk of prolonged air leak (OR: 0.8; 95% CI: 0.71-0.90; P < 0.001). 30-days mortality is higher in the underweight group compared to the others. We did not find any significant difference in DFS and OS. According to our results, obesity increases operating room time for VATS major lung resection. Overweight patients are at the lowest risk of pulmonary, acute cardiac, surgical, major, and overall postoperative complications following VATS resections. The risk of most postoperative complications progressively increases as the BMI deviates from the point at the lowest risk, towards both extremes of BMI values. Thirty days mortality is higher in the underweight group, with no differences in DFS and OS.

Obesity Paradox among Heart Failure with Reduced Ejection Fraction Patients: A Retrospective Cohort Study

Background and Objectives: There is consensus on the negative effects of obesity on the development of heart failure. However, several studies have suggested that obesity may have paradoxical survival benefits in heart failure patients. Therefore, the aim of this study is to investigate whether the obesity paradox exists in heart failure with reduced ejection fraction (HFrEF) patients in Jordan. Materials and Methods: In this retrospective cohort study, data were retrieved from electronic hospital records of heart failure patients admitted to King Abdullah University Hospital between January 2010 and January 2020. Patients were divided into five BMI (kg/m2) subgroups: (1) Less than 25.0, (2) Overweight 25.0−29.9, (3) Obese Class I 30.0−34.9, (4) Obese Class II 35.0−39.9, and (5) Obese Class III ≥40.0. Changes in patients’ clinical and echocardiographic parameters over one year were analyzed. Results: Data of a total of 297 patients were analyzed to determine the effect of obesity on heart failure. The mean age was 64.6 ± 12.4 years, and most patients (65.7%) were male. Among several co-morbidities, diabetes mellitus and hypertension were the most common and were present in 81.8% and 81.1% of patients, respectively. Over all patients, there was no significant change in EF after 1 year compared to baseline. However, only patients in the Obese Class I group had a statistically significant improvement in EF of 38.0 ± 9.81% vs. 34.8 ± 6.35% (p = 0.004) after 1 year. Importantly, among non-diabetic individuals, only Obese Class I patients had a significant (p < 0.001) increase in EF after 1 year compared to other BMI subgroups, a feature that was not observed among patients with diabetes. On the other hand, only Obese Class I patients with hypertension had a significant improvement (p < 0.05) in EF after 1 year compared to other BMI subgroups, a feature that was not observed among patients without hypertension. Conclusions: Our study demonstrates an inverted U-shaped relationship between BMI and EF such that patients with mild obesity (i.e., Obese Class I) had significant improvement in EF compared to those having a lower and higher BMI. We, therefore, suggest the existence of the obesity paradox among HFrEF patients in Jordan.

Comprehensive Review of Cardiovascular Disease Risk in Nonalcoholic Fatty Liver Disease

Nonalcoholic Fatty Liver Disease (NAFLD) is a growing global phenomenon, and its damaging effects in terms of cardiovascular disease (CVD) risk are becoming more apparent. NAFLD is estimated to affect around one quarter of the world population and is often comorbid with other metabolic disorders including diabetes mellitus, hypertension, coronary artery disease, and metabolic syndrome. In this review, we examine the current evidence describing the many ways that NAFLD itself increases CVD risk. We also discuss the emerging and complex biochemical relationship between NAFLD and its common comorbid conditions, and how they coalesce to increase CVD risk. With NAFLD's rising prevalence and deleterious effects on the cardiovascular system, a complete understanding of the disease must be undertaken, as well as effective strategies to prevent and treat its common comorbid conditions.

Levels of TNF-α and Soluble TNF Receptors in Normal-Weight, Overweight and Obese Patients with Dilated Non-Ischemic Cardiomyopathy: Does Anti-TNF Therapy Still Have Potential to Be Used in Heart Failure Depending on BMI?

Background. We sought to measure the levels of adipokines, TNF-α and soluble receptors (sTNFr1, sTNFr2) in heart failure patients with reduced ejection fraction (HFrEF) due to non-ischemic cardiomyopathy (nDCM). Methods. A total of 123 patients with HFrEF due to nDCM were divided into three groups according to BMI: 34 (27.6%) normal weight, 56 (45.5%) overweight and 33 (26.8%) obese. A six-minute walk test, echocardiography and right heart catheterization were performed. Serum concentrations of adiponectin, leptin, NT-proBNP, blood hemoglobin, sodium, creatinine, ALAT, AspAT, bilirubin, CRP, lipids, TNF-α, sTNFr1 and sTNFr2 receptors were measured. Results. Obese patients had the lowest NT-proBNP concentrations, significantly higher leptin levels and higher leptin/adiponectin ratios. The concentration of sTNFr1 was higher in normal-weight patients. In all groups, TNF-α concentrations correlated positively with sTNFr1 (p < 0.001). Higher levels of sTNFr1 were associated with higher sTNFr2 (p < 0.001) and CRP (p < 0.001). Moreover, the concentration of sTNFr2 positively correlated with CRP (p < 0.05) and adiponectin (p < 0.001). Levels of TNF-α were not associated with elevated CRP. Conclusion: This study demonstrated that changes in the concentrations of TNF and its receptors differ between groups of patients with different BMI. These findings suggest that the effective use of anti-TNF therapy is dependent not only on BMI, but also on concentrations of TNF-α receptors and other laboratory parameters.

Association between low body temperature on admission and in-hospital mortality according to body mass index categories of patients with sepsis

Hypothermia has been shown to be associated with a high mortality rate among patients with sepsis. However, the relationship between hypothermia and body mass index (BMI) with respect to mortality remains to be elucidated. We conducted this study to assess the association between hypothermia and survival outcomes of patients with sepsis according to BMI categories. This secondary analysis of a prospective cohort study enrolled 1184 patients (aged ≥ 16 years) with sepsis hospitalized in 59 intensive care units in Japan. Patients were divided into 3 BMI categories (<18.5 [low], 18.5-24.9 [normal], >24.9 [high] kg/m2) and 2 body temperature (36 °C and ≥ 36 °C) groups. The primary outcome was in-hospital mortality rate. Associations between hypothermia and BMI categories with respect to in-hospital mortality were evaluated using multivariate logistic regression analysis. Of the 1089 patients, 223, 612, and 254 had low, normal, and high BMI values, respectively. Patients with body temperature < 36 °C (hypothermia) had a higher in-hospital mortality rate than that had by those without hypothermia in the normal BMI group (25/63, 39.7% vs. 107/549, 19.5%); however, this was not true for patients in the low or high BMI groups. A significant interaction was observed between hypothermia and normal BMI for in-hospital mortality (odds ratio, 1.56; 95% confidence interval, 1.00-3.41; P value for interaction = .04); however, such an interaction was not found between hypothermia and low or high BMIs. Patients with sepsis and hypothermia in the normal BMI subgroup may have a higher mortality risk than that of those in the low or high BMI subgroups and, therefore, require more attention.

Effects of obesity on arrhythmic events and survival in patients with an implantable cardioverter defibrillator

Background    Studies have shown that increased body weight and obesity may be associated with an increased risk of arrhythmic events. The aim of this study was to evaluate the effect of obesity on the risk of arrhythmic events, hospitalization, and death in patients who received implantable cardioverter defibrillator (ICD) therapy for primary or secondary prevention.Material and Methods    A single-center, prospective, observational study was conducted. Patients with body mass index (BMI) <30 kg / m2 were classified as non-obese, and patients with BMI ≥30 kg / m2 were classified as obese. The primary endpoints were arrhythmic events and device interventions. The secondary endpoints were all-cause mortality, cardiac mortality, cardiac rehospitalization, and a composite endpoint of mortality and hospitalization.Results    Among a total of 340 patients, 78.2 % were male, and 22.1 % were obese. The mean age was 60.9 yrs. Ventricular tachycardia (VT) was more frequent in non-obese patients (HR 0.57, [CI] 0.38–0.87, p=0.009). All-cause mortality and cardiac mortality in all patients tended to be more frequent in non-obese (HR 2.71, [CI] 0.93–7.93, p= 0.069 for all-cause mortality; HR 3.29, [CI] 0.97–11.17, p=0.056 for cardiac mortality). In the subgroup analysis, VT, all-cause mortality, and cardiac mortality were more common for non-obese patients in primary prevention and ischemic heart failure (HF) groups.Conclusion    While VT was more frequent in non-obese patients, VF, ICD appropriate shock, inappropriate shock, and antitachycardia pacing were similar in obese and non-obese patients. All-cause mortality and cardiac mortality were more frequent in non-obese patients.

[Heart failure and obesity]

Obesity is an independent predictor of cardiovascular diseases (CVD), including heart failure (HF). Nevertheless, numerous studies have shown that patients with CVD who are overweight and slightly obese have a better short-term and moderate prognosis than thinner patients with CVD. This phenomenon has been called the obesity paradox. Understanding the obesity paradox is important in patients with HF, given the high prevalence of obesity in patients with HF. The article presents an overview of clinical studies devoted to the study of obesity as a risk factor for HF, the pathogenesis of HF in obesity, and highlights the issues of the obesity paradox and the treatment of obesity in this category of patients.