Prolonged and intensive medication use are associated with the obesity paradox after percutaneous coronary intervention: a systematic review and meta-analysis of 12 studies

Clinical Outcomes in Metabolically Healthy and Unhealthy Obese and Overweight Patients With Atrial Fibrillation: Findings From the GLORIA-AF Registry

OBJECTIVE

To explore the association between metabolic status, body mass index (BMI), and natural history of patients with atrial fibrillation (AF).

METHODS

The global, prospective GLORIA-AF Registry Phase II and III included patients with recent diagnosis of AF between November 2011 and December 2014 for Phase II and between January 2014 and December 2016 for Phase III. With this analysis, we categorized patients with AF according to BMI (normal weight [18.5 to 24.9 kg/m2], overweight [25.0 to 29.9 kg/m2], obese [30.0 to 60.0 kg/m2]) and metabolic status (presence of hypertension, diabetes, and hyperlipidemia). We analyzed risk of major outcomes using multivariable Cox regression analyses; the primary outcome was the composite of all-cause death and major adverse cardiovascular events.

RESULTS

There were 24,828 (mean age, 70.1±10.3 years; 44.6% female) patients with AF included. Higher BMI was associated with metabolically unhealthy status and higher odds of receiving oral anticoagulants and other treatments. Normal-weight unhealthy patients showed a higher risk of the primary composite outcome (adjusted hazard ratio [aHR], 1.20; 95% CI, 1.01 to 1.42) and thromboembolism, whereas a lower risk of cardiovascular death (aHR, 0.35; 95% CI, 0.14 to 0.88) and major adverse cardiovascular events (aHR, 0.56; 95% CI, 0.33 to 0.93) was observed in metabolically healthy obese individuals. Unhealthy metabolic groups were also associated with increased risk of major bleeding (aHR, 1.51 [95% CI, 1.04 to 2.20] and aHR, 1.96 [95% CI, 1.34 to 2.85] in overweight and obese groups, respectively).

CONCLUSION

Increasing BMI was associated with poor metabolic status and with more intensive treatment. Prognosis was heterogeneous between BMI groups, with metabolically unhealthy patients showing higher risk of adverse events.

ANMCO (Italian Association of Hospital Cardiologists) scientific statement: obesity in adults-an approach for cardiologists

Obesity is a complex, chronic disease requiring a multidisciplinary approach to its management. In clinical practice, body mass index and waist-related measurements can be used for obesity screening. The estimated prevalence of obesity among adults worldwide is 12%. With the expected further increase in overall obesity prevalence, clinicians will increasingly be managing patients with obesity. Energy balance is regulated by a complex neurohumoral system that involves the central nervous system and circulating mediators, among which leptin is the most studied. The functioning of these systems is influenced by both genetic and environmental factors. Obesity generally occurs when a genetically predisposed individual lives in an obesogenic environment for a long period. Cardiologists are deeply involved in evaluating patients with obesity. Cardiovascular risk profile is one of the most important items to be quantified to understand the health risk due to obesity and the clinical benefit that a single patient can obtain with weight loss. At the individual level, appropriate patient involvement, the detection of potential obesity causes, and a multidisciplinary approach are tools that can improve clinical outcomes. In the near future, we will probably have new pharmacological tools at our disposal that will facilitate achieving and maintaining weight loss. However, pharmacological treatment alone cannot cure such a complex disease. The aim of this paper is to summarize some key points of this field, such as obesity definition and measurement tools, its epidemiology, the main mechanisms underlying energy homeostasis, health consequences of obesity with a focus on cardiovascular diseases and the obesity paradox.Level of evidence V: report of expert committees.

Associations between body mass index and all-cause mortality: A systematic review and meta-analysis

Fasting insulin and c-reactive protein confound the association between mortality and body mass index. An increase in fat mass may mediate the associations between hyperinsulinemia, hyperinflammation, and mortality. The objective of this study was to describe the "average" associations between body mass index and the risk of mortality and to explore how adjusting for fasting insulin and markers of inflammation might modify the association of BMI with mortality. MEDLINE and EMBASE were searched for studies published in 2020. Studies with adult participants where BMI and vital status was assessed were included. BMI was required to be categorized into groups or parametrized as non-first order polynomials or splines. All-cause mortality was regressed against mean BMI squared within seven broad clinical populations. Study was modeled as a random intercept. β coefficients and 95% confidence intervals are reported along with estimates of mortality risk by BMIs of 20, 30, and 40 kg/m2 . Bubble plots with regression lines are drawn, showing the associations between mortality and BMI. Splines results were summarized. There were 154 included studies with 6,685,979 participants. Only five (3.2%) studies adjusted for a marker of inflammation, and no studies adjusted for fasting insulin. There were significant associations between higher BMIs and lower mortality risk in cardiovascular (unadjusted β -0.829 [95% CI -1.313, -0.345] and adjusted β -0.746 [95% CI -1.471, -0.021]), Covid-19 (unadjusted β -0.333 [95% CI -0.650, -0.015]), critically ill (adjusted β -0.550 [95% CI -1.091, -0.010]), and surgical (unadjusted β -0.415 [95% CI -0.824, -0.006]) populations. The associations for general, cancer, and non-communicable disease populations were not significant. Heterogeneity was very large (I2  ≥ 97%). The role of obesity as a driver of excess mortality should be critically re-examined, in parallel with increased efforts to determine the harms of hyperinsulinemia and chronic inflammation.

Obesity and Kidney Transplantation-How to Evaluate, What to Do, and Outcomes

Obesity is a growing issue that is spreading worldwide; its prevalence is ever increasing in patients with end-stage renal disease and represents a potential barrier to transplantation. The lack of unanimous guidelines exacerbates the current disparity in treatment, which can affect outcomes, leading to a significantly longer time on the waiting list. Multidisciplinary and multimodal management (encompassing several healthcare professionals such as nephrologists, transplant physicians and surgeons, primary care providers, and nurses) is of paramount importance for the optimal management of this patient population in a continuum from waitlisting to transplantation. Development of this guideline followed a standardized protocol for evidence review. In this review, we report on our clinical experience in transplantation of obese patients; strategies to manage this condition, including bariatric surgery, suitable timing for transplantation among this patient population, and clinical experience in robotic sleeve gastrectomy; and simultaneous robotic kidney transplantation to achieve optimal outcomes.

Association of body mass index and waist-to-height ratio with outcomes in ischemic stroke: results from the Third China National Stroke Registry

BACKGROUND AND PURPOSE

Conflicting reports of obesity paradox have led to confusion about weight management strategies for post-stroke patients. The main purpose of this study is to determine whether the obesity paradox measured by body mass index (BMI) or by waist-to-height ratio (WHtR) is real.

METHODS

We evaluated the association of general obesity measured by BMI, and abdominal obesity measured by WHtR with 1-year all-cause mortality, recurrence of stroke and combined vascular events of acute ischemic stroke (AIS) patients in a cohort -- the Third China National Stroke Registry (CNSR-III). Cox proportional hazards models and restricted cubic splines were performed to investigate the association between obesity and clinical outcomes.

RESULTS

A total of 14,146 patients with ischemic stroke were included. When BMI was used as a measure of obesity, compared to the normal weight patients, mortality decreased in overweight patients (hazard ratio [HR] 0.74 [95% confidence interval (CI) 0.61-0.91], P = 0.0035) and obese patients (HR 0.54 [0.40-0.73], P < 0.0001); and increased in underweight patients (HR 2.55 [1.75-3.73], P < 0.0001). After adjustment for confounding factors, the protective effect of obesity and overweight disappeared. BMI had no association with recurrence of stroke or combined vascular events. When WHtR was used as a measure of obesity, obese patients had lower 1-year all-cause mortality (HR 0.64 [0.43-0.97], P = 0.0357). After adjustment for confounding factors, this difference disappeared; overweight patients still had lower all-cause mortality (adjusted hazard ratio [aHR] 0.42 [0.26-0.67], P = 0.0003), recurrence of stroke (aHR 0.77 [0.60-0.99], P = 0.0440) and combined vascular events (aHR 0.75 [0.58-0.95], P = 0.0198).

CONCLUSIONS

Among Chinese patients with AIS, our study does not support the BMI paradox; overweight patients measured by WHtR had a more favorable prognosis. TOAST subtypes did not modify the association.

Mortality risk in patients with underweight or obesity with peripheral artery disease: a meta-analysis including 5,735,578 individuals

OBJECTIVES

The "obesity paradox" - in which patients with obesity exhibit superior survival than normal-weight counterparts - has been reported for several diseases. However, obesity is a well-known risk factor for cardiovascular disease, and whether the obesity paradox is present in peripheral artery disease (PAD) is unknown.

METHODS

A comprehensive search for studies that reported mortality in patients with PAD grouped by BMI identified 12 studies. We compared the survival of underweight patients with those who were not underweight, and patients with obesity against those without. Underweight was defined by a BMI value of <18.5 kg/m² in most studies and obesity by BMI ≥ 30 kg/m². Subgroup analyses were performed according to length of follow-up, presentation of PAD, and mode of revascularization. Meta-regression analyses were conducted, with covariates including age, sex, presence of coronary artery disease (CAD) and diabetes mellitus (DM).

RESULTS

The mortality risk of underweight patients with PAD was significantly higher compared to those who are not underweight (HR 1.72, 95% CI 1.38-2.14; I² = 84.2%). In contrast, the mortality risk of patients with obesity with PAD was significantly lower than those without (HR 0.78, 95% CI 0.62-0.97; I² = 89.8%). These findings remained consistent regardless of the presentation of PAD, revascularization, age, sex, or presence of CAD. The risk of death in the short-term of underweight patients (HR 1.50, 95% CI 0.47-4.72) and patients with obesity (HR 0.86, 95% CI 0.66-1.13) were not significantly different from their counterparts. The meta-regression showed that of the association between obesity and better survival was more pronounced in studies with a greater proportion of patients with concomitant CAD (regression coefficient -0.029, 95% CI -0.054 to -0.004).

CONCLUSIONS

In patients with PAD, mortality is higher among underweight patients and lower among patients with obesity. The mechanisms underlying the obesity paradox in patients with PAD remain to be elucidated, and further evidence is required to guide optimal weight control strategies in these patients.

A Dose Response Association Between Body Mass Index and Mortality in Patients with Peripheral Artery Disease: A Meta-analysis Including 5 729 272 Individuals

OBJECTIVE

Obesity is a significant risk factor for atherosclerotic cardiovascular disease; however, the "obesity paradox", in which obese patients enjoy superior survival, has been observed in various cardiovascular conditions. Whether this phenomenon exists for peripheral artery disease (PAD) remains uncertain. The goal of this study was to evaluate the relationship between body mass index (BMI) and mortality in patients with PAD.

METHODS

A comprehensive literature search identified seven eligible cohort studies that reported the association between BMI and all cause mortality in patients with PAD. A dose response meta-analysis was done for all cause mortality, short term (30 day or in hospital) mortality and long term mortality. The dose response association between BMI and mortality was also assessed in patients who received endovascular therapy (EVT).

RESULTS

The non-linear dose response analysis showed that higher BMI values were associated with a lower mortality risk from the range between 15 kg/m² to approximately 33 - 34 kg/m². The risk of mortality increased slightly thereafter. This relationship was consistent with that of long term mortality but was not apparent in short term mortality. A U shaped relationship was also observed between BMI and mortality in patients who received EVT with the lowest mortality observed at around 30 kg/m².

CONCLUSION

The obesity paradox was evident in the analysis of long term survival among patients with PAD, with the lowest mortality rates observed in obese patients. However, this association was not observed for short term or in hospital mortality.

The Relationship of Body Mass Index to Percutaneous Coronary Intervention Outcomes: Does the Obesity Paradox Exist in Contemporary Percutaneous Coronary Intervention Cohorts? Insights From the British Cardiovascular Intervention Society Registry

OBJECTIVES

The aims of this study were to examine the relationship between body mass index (BMI) and clinical outcomes following percutaneous coronary intervention (PCI) and to determine the relevance of different clinical presentations requiring PCI to this relationship.

BACKGROUND

Obesity is a growing problem, and studies have reported a protective effect from obesity compared with normal BMI for adverse outcomes after PCI.

METHODS

Between 2005 and 2013, 345,192 participants were included. Data were obtained from the British Cardiovascular Intervention Society registry, and mortality data were obtained through the U.K. Office of National Statistics. Multiple logistic regression was performed to determine the association between BMI group (<18.5, 18.5 to 24.9, 25 to 30 and >30 kg/m²) and adverse in-hospital outcomes and mortality.

RESULTS

At 30 days post-PCI, significantly lower mortality was seen in patients with elevated BMIs (odds ratio [OR]: 0.86 [95% confidence interval (CI): 0.80 to 0.93] 0.90 [95% CI: 0.82 to 0.98] for BMI 25 to 30 and >30 kg/m², respectively). At 1 year post-PCI, and up to 5 years post-PCI, elevated BMI (either overweight or obese) was an independent predictor of greater survival compared with normal weight (OR: 0.70 [95% CI: 0.67 to 0.73] and 0.73 [95% CI: 0.69 to 0.77], respectively, for 1 year; OR: 0.78 [95% CI: 0.75 to 0.81] and 0.88 [95% CI: 0.84 to 0.92], respectively, for 5 years). Similar reductions in mortality were observed for the analysis according to clinical presentation (stable angina, unstable angina or non-ST-segment elevation myocardial infarction, and ST-segment elevation myocardial infarction).

CONCLUSIONS

A paradox regarding the independent association of elevated BMI with reduced mortality after PCI is still evident in contemporary U.K. practice. This is seen in both stable and more acute clinical settings.

Obesity phenotypes and their paradoxical association with cardiovascular diseases

The pro-inflammatory state of the visceral adipose tissue (VAT) is supposed to accelerate cardiovascular (CV) and metabolic diseases in obese subjects. Some studies have recently reported an improved CV prognosis in certain obese and overweight patients as compared with leaner ones. This phenomenon, known as the "obesity paradox" (OP), has been described in many chronic diseases. This narrative review is based on the material searched for and obtained via PubMed and Web of Science up to May 2017. The search terms we used were: "obesity, paradox, adipose tissue" in combination with "cardiovascular, coronary heart disease, heart failure, arrhythmias". Using the current Body Mass Index (BMI)-based obesity definition, individuals with different clinical and biochemical characteristics are gathered together in the same category. Emerging evidence point to the existence of many "Obesity phenotypes" with different association with CV risk, accordingly to physical and life-style features. In this narrative review, we discussed if obesity phenotypes may be associated with a different CV risk, potentially explaining the OP. As a globally accepted definition of obesity is still lacking, we emphasized the need of a new approach, which should consider the heterogeneity of obesity. Better defining "obesities" and related CV risk is critical to markedly improve the classical BMI-based definition of obesity.

Body mass index as a biomarker for the evaluation of the "Obesity Paradox" among inpatients

BACKGROUND

Overweight and obesity are, on the one hand, recognized as risk factors for many health-related disorders, and, on the other, as favorable prognostic factors in various patients treated for several different conditions; what is called the "obesity paradox". Until now, the existence of this phenomenon among a general population of consecutive inpatients has not been evaluated. We decided, therefore, to perform an evaluation.

PATIENTS AND METHODS

Historical prospective analysis of the medical documentation of 23 603 hospitalizations during two consecutive years in one center was performed. The outcomes measured were as follows: length of stay, in-hospital all-cause mortality, and non-scheduled readmission in the 14-day, 30-day and one-year periods following discharge.

RESULTS

Overweight and obese patients had a lower or similar prevalence of the measured outcomes than malnourished patients and those of normal weight. Adjustment of the standard WHO BMI ranges for patients aged ≥65 y (normal weight BMI range 23-33 kg/m²) made these differences more apparent. In logistic regression, the ratio of fat to fat-free body mass was a stronger and unfavorable risk factor compared with BMI for the measured outcomes.

CONCLUSIONS

The greatest risk of all-cause in-hospital death and readmission concerned malnourished inpatients. Compared to patients with a normal BMI range, overweight and obesity had a lower or similar (but not greater) risk of the outcomes measured. However, due to several BMI limitations, our observations should be interpreted as suggesting a "BMI paradox", rather than an "obesity paradox".