Toward evidence-based communication on overweight body mass index and mortality.

BACKGROUND: Reducing overweight and obesity has been a longstanding focus of public health messaging and physician-patient interactions. Clinical guidelines by major public health organizations describe both overweight and obesity as risk factors for mortality and other health conditions. Accordingly, a majority of primary care physicians believe that overweight BMI (even without obesity) strongly increases mortality risk. MAIN POINTS: The current evidence base suggests that although both obese BMI and underweight BMI are consistently associated with increased all-cause mortality, overweight BMI (without obesity) is not meaningfully associated with increased mortality. In fact, a number of studies suggest modest protective, rather than detrimental, associations of overweight BMI with all-cause mortality. Given this current evidence base, clinical guidelines and physician perceptions substantially overstate all-cause mortality risks associated with the range of BMIs classified as "overweight" but not "obese." Discrepancies between evidence and communication regarding mortality raise the question of whether similar discrepancies exist for other health outcomes. CONCLUSIONS: Health communication that inaccurately conveys current evidence may do more harm than good; this applies to communication from health authorities to health practitioners as well as to communication from health practitioners to individual patients. We give three recommendations to better align health communication with the current evidence. First, recommendations to the public and health practitioners should distinguish overweight from obese BMI and at this time should not describe overweight BMI as a risk factor for all-cause mortality. Second, primary care physicians' widespread misconceptions about overweight BMI should be rectified. Third, the evidence basis for other potential risks or benefits of overweight BMI should be rigorously examined and incorporated appropriately into health communication.

Associations of obesity with chronic inflammatory airway diseases and mortality in adults: a population-based investigation.

BACKGROUND: The association between obesity and respiratory diseases has been confirmed. However, few studies have reported the relationship between obesity and the risk and mortality of chronic inflammatory airway disease (CIAD). The aim of this study was to reveal the association between obesity and the risk of CIAD, and mortality in patients with CIAD. METHODS: The study was conducted using data from the National Health and Nutrition Examination Survey (NHANES) 2013 to 2018 among adults aged 20 years and above. All participants were grouped according to body mass index (BMI) and waist circumference (WC) levels to study the relationship between obesity and CIAD. Multivariate logistic regression analysis was utilized to examine the connection between CIAD and obesity in a cross-sectional study. The association between obesity and all-cause mortality in individuals with CIAD was examined using multiple cox regression models and smooth curve fitting in a prospective cohort study. RESULTS: When stratified based on BMI in comparison to the normal weight group, the ORs with 95%CIs of CIAD for underweight and obesity were 1.39 (1.01-1.93) and 1.42 (1.27-1.58), respectively. The OR with 95%CI of CIAD for obesity was 1.20 (1.09-1.31) when stratified according to WC. Additionally, underweight was associated with a higher mortality (HR = 2.44, 95% CI = 1.31-4.55), whereas overweight (HR = 0.58,95% CI = 0.39-0.87) and obesity (HR = 0.59,95% CI = 0.4-0.87) were associated with a lower mortality (P for trend < 0.05). There was a non-linear association between BMI and all-cause mortality (P for non-linear = 0.001). An analysis of a segmentation regression model between BMI and all-cause mortality revealed a BMI turning point value of 32.4 kg/m2. The mortality of CIAD patients was lowest when BMI was 32.4 kg/m2. When BMI ≤ 32.4 kg/m2, BMI was inversely associated with all-cause mortality in patients with CIAD (HR: 0.92, 95%CI:0.88-0.97). However, when BMI > 32.4 kg/m2, there was no association between BMI and all-cause mortality (HR:1.02, 95%CI:0.97-1.06). CONCLUSION: Compared to normal weight, underweight and obesity were associated with the increased risk of CIAD. Underweight was associated with increased all-cause mortality, while overweight was associated with reduced all-cause mortality. There was a non-linear association between BMI and all-cause mortality in patients with CIAD. The all-cause mortality was lowest when BMI was 32.4 kg/m2.

The association between lymphocyte-to-monocyte ratio and all-cause mortality in obese hypertensive patients with diabetes and without diabetes: results from the cohort study of NHANES 2001-2018.

Objective: Obesity, hypertension and diabetes are high prevalent that are often associated with poor outcomes. They have become major global health concern. Little research has been done on the impact of lymphocyte-to-monocyte ratio (LMR) on outcomes in these patients. Thus, we aimed to explore the association between LMR and all-cause mortality in obese hypertensive patients with diabetes and without diabetes. Methods: The researchers analyzed data from the National Health and Nutrition Examination Survey (2001-2018), which included 4,706 participants. Kaplan-Meier analysis was employed to compare survival rate between different groups. Multivariate Cox proportional hazards regression models with trend tests and restricted cubic splines (RCS) analysis and were used to investigate the relationship between the LMR and all-cause mortality. Subgroup analysis was performed to assess whether there was an interaction between the variables. Results: The study included a total of 4706 participants with obese hypertension (48.78% male), of whom 960 cases (20.40%) died during follow-up (median follow-up of 90 months). Kaplan-Meier curves suggested a remarkable decrease in all-cause mortality with increasing LMR value in patients with diabetes and non-diabetes (P for log-rank test < 0.001). Moreover, multivariable Cox models demonstrated that the risk of mortality was considerably higher in the lowest quartile of the LMR and no linear trend was observed (P > 0.05). Furthermore, the RCS analysis indicated a non-linear decline in the risk of death as LMR values increased (P for nonlinearity < 0.001). Conclusions: Increased LMR is independently related with reduced all-cause mortality in patients with obese hypertension, regardless of whether they have combined diabetes.

Fat tissue quantity, waist circumference or waist-to-hip ratio in patients with chronic kidney disease: A systematic review and meta-analysis.

The BMI predicts mortality and cardiovascular disease (CVD) in the general population, while in patients with end-stage chronic kidney disease (CKD) a high BMI is associated with improved survival, a phenomenon referred to as the "obesity paradox". While BMI is easy to determine and helps to categorize patients, it does not differentiate between fat tissue, lean tissue and bone mass. As the BMI may be altered in CKD, e.g. by muscle wasting, we determined in this meta-analysis (i) the association of mortality with fat tissue quantity in CKD and (ii) the association of mortality with abdominal obesity (as measured by waist circumference (WC) or waist-to-hip ratio (WHR)) in CKD. We systematically reviewed databases for prospective or retrospective cohort studies. In eleven studies with 23,523 patients the association between mortality and high fat tissue quantity in CKD was calculated. The pooled hazard ratio (HR) for this association in the CKD group in the dialysis group 0.91 (CI 0.84- 0.98, p = 0.01) which is comparable to the HR for the association with BMI. The HR in patients without dialysis was 0.7 (95% CI 0.53- 0.93, p = 0.01), suggesting a better risk prediction of high fat tissue content with mortality as compared to higher BMI with mortality in patients with CKD without dialysis. Importantly, both BMI and fat tissue quantity in CKD are described by the "obesity paradox": the higher the fat tissue content or BMI, the lower the mortality risk. In thirteen studies with 55,175 patients the association between mortality and high WC or WHR in CKD (with or without dialysis) was calculated. We observed, that the HR in the WHR group was 1.31 (CI 1.08-1.58, p = 0.007), whereas the overall hazard ratio of both groups was 1.09 (CI 1.01-1.18, p = 0.03), indicating that a higher abdominal obesity as measured by WHR is associated with higher mortality in CKD. Our analysis suggests gender-specific differences, which need larger study numbers for validation. This meta-analysis confirms the obesity paradox in CKD using fat tissue quantity as measure and further shows that using abdominal obesity measurements in the routine in obese CKD patients might allow better risk assessment than using BMI or fat tissue quantity. Comparable to the overall population, here, the higher the WHR, the higher the mortality risk.

Prognosis of patients with coexisting obesity and malnutrition after ischemic stroke: A cohort study.

BACKGROUND: The double burden of malnutrition, defined as the coexistence of obesity and malnutrition, is an increasing global health concern and is unclear in patients after ischemic stroke. The current study explored the combined impacts of obesity and malnutrition on patients with ischemic stroke. METHODS: We conducted a single-center prospective cohort study with patients with ischemic stroke enrolled in Minhang Hospital in China between January 2018 and December 2022. Patients were stratified into four categories based on their obesity (defined by body mass index) and nutritional status (classified according to the Controlling Nutritional Status score): (1) nourished nonobese, (2) malnourished nonobese, (3) nourished obese, and (4) malnourished obese. The primary end points were poor outcomes and all-cause mortality at 3 months. RESULTS: A total of 3160 participants with ischemic stroke were included in our study, of which 64.7% were male and the mean age was 69 years. Over 50% of patients were malnourished. At 3-month follow-up, the malnourished nonobese had the worst outcomes (34.4%), followed by the malnourished obese (33.2%), nourished nonobese (25.1%), and nourished obese (21.8%; P < 0.001). In multivariable analyses, with nourished nonobese group as the reference, the malnourished nonobese group displayed poorer outcomes (odds ratio [OR], 1.395 [95% CI, 1.169-1.664], P < 0.001) and higher all-cause mortality (OR, 1.541 [95% CI, 1.054-2.253], P = 0.026), but only a nonsignificant increase in poor prognosis rate (33.2% vs. 25.1%, P = 0.102) and mortality (4.2% vs. 3.6%, P = 0.902) were observed in the malnourished obese group. CONCLUSION: A high prevalence of malnutrition is observed in the large population suffering from ischemic attack, even in the obese. Malnourished patients have the worst prognosis particularly in those with severe nutritional status regardless of obesity, while the best functional outcomes and the lowest mortality are demonstrated in nourished obese participants.

Associations of diabesity with all-cause and cardiovascular disease mortality: Findings from the Mexico City Prospective Study.

AIM: To investigate the joint associations of diabetes and obesity with all-cause and cardiovascular disease (CVD) mortality in the Mexico City Prospective Study. MATERIALS AND METHODS: In total, 154 128 participants (67.2% women) were included in this prospective analysis. Diabetes was self-reported, while body mass index was used to calculate obesity. Using diabetes and obesity classifications, six groups were created: (a) normal (no diabetes and normal weight); (b) normal weight and diabetes; (c) overweight but not diabetes (overweight); (d) overweight and diabetes (prediabesity); (e) obesity but not diabetes (obesity); and (f) obesity and diabetes (diabesity). Associations between these categories and outcomes were investigated using Cox proportional hazard models adjusted for confounder factors. RESULTS: During 18.3 years of follow-up, 27 197 (17.6%) participants died (28.5% because of CV causes). In the maximally adjusted model, participants those with the highest risk {hazard ratio (HR): 2.37 [95% confidence interval (CI): 2.24-2.51]}, followed by those with diabesity [HR: 2.04 (95% CI: 1.94-2.15)]. Similar trends of associations were observed for CVD mortality. The highest CV mortality risk was observed in individuals with diabesity [HR: 1.80 (95% CI: 1.63-1.99)], followed by normal weight and diabetic individuals [HR: 1.78 (95% CI: 1.60-1.98)]. CONCLUSION: This large prospective study identified that diabetes was the main driver of all-cause and CVD mortality in all the categories studied, with diabesity being the riskiest. Given the high prevalence of both conditions in Mexico, our results reinforce the importance of initiating prevention strategies from an early age.

Delayed Closure of Guillotine Lower Extremity Amputation in Obese Patients is Associated with Increased Mortality.

BACKGROUND: Staged surgery with open guillotine amputation (OGA) prior to a definitive major lower extremity amputation (LEA) has been shown to be effective for sepsis control and improving wound healing. Studies have evaluated postoperative complications including infection, return to the operating room for re-amputation, and amputation failure following OGA. However, the role of timing to close OGA for predictive outcomes remains poorly understood. We aim to assess outcomes of major LEA related to the time of OGA closure. METHODS: Data from patients who underwent major LEA from 2015 to 2021 were collected retrospectively. The study included all patients undergoing below-knee, through-knee, or above-knee amputations. Next, patients who had OGA prior to a definitive amputation were selected. Patients who died before amputation closure were excluded. Postamputation outcomes such as surgical site infection, postoperative sepsis, postoperative ambulation, hospital length of stay, and 30-day, 1-year, and 5-year mortality were reviewed. The study cohort was stratified by demographics and comorbidities. Receiver operating characteristic curve analysis was performed to determine the time of closure (TOC) cutoff value. Univariate and multivariate analysis was performed to assess outcomes. Statistical significance was set at P < 0.05. RESULTS: Of 688 patients who underwent major LEA, 322 underwent staged amputation with OGA before the formalization procedure and were included. The TOC ranged from 1-47 days with a median of 4 days (interquartile range from 3 to 7). The optimal TOC point of 8 days (ranging from 2-42 days) in obese patients (199/322) for predicting mortality showed the largest area under the curve (0.709) with 64.71% sensitivity and 78.3% specificity. Patients who are obese and grouped in TOC less than 8 days had no 30-day mortality, significantly lower 1-year mortality, better survival, and a lower rate of deep venous thrombosis complication. There was no significant difference in length of stay, postoperative surgical site infection, sepsis, and ambulation between the 2 subgroups of obese patients. Multivariable analysis showed that gender, chronic kidney disease, and postoperative ambulation independently predict overall mortality in obese patients. CONCLUSIONS: TOC cutoff in obese patients showed statistically significant results in predicting mortality. Our findings indicated better survival in obese patients with a lower TOC (less than 8 days). This emphasizes the importance of earlier closure of OGA in obese patients.

Association of weight loss with cardiovascular or all-cause mortality in patients with heart failure: A meta-analysis.

BACKGROUND: A consensus has not been reached on the association between weight loss and survival outcomes in patients with heart failure (HF). This meta-analysis aimed to assess the association of weight loss with cardiovascular or all-cause mortality in patients with HF. METHODS: Two authors independently searched the articles indexed in the PubMed and Embase databases up to May 7, 2023. Post hoc analysis of randomized controlled trials or observational studies that reported the utility of weight loss in predicting cardiovascular or all-cause mortality in patients with HF were included. RESULTS: Thirteen studies reporting on 12 articles involving 26,164 patients with HF were included. A comparison of weight loss with stable weight showed that the pooled adjusted hazard ratio (HR) for all-cause mortality was 1.75 (95% confidence intervals [CI] 1.43-2.14). Subgroup analysis revealed that weight loss was associated with an increased risk of all-cause mortality, irrespective of whether patients were overweight/obese (HR 1.76; 95% CI 1.41-2.20) or not (HR 1.90; 95% CI 1.14-3.14). The pooled adjusted HR of cardiovascular mortality was 1.64 (95% CI 1.18-2.28) for patients with weight loss compared to those without. CONCLUSIONS: Weight loss is associated with an increased risk of cardiovascular and all-cause mortality in patients with HF. Assessing weight changes can provide prognostic information for patients with HF.

Mortality risk in patients with obesity and COVID-19 infection: a systematic review and meta-analysis.

Obesity is a risk factor for severe respiratory diseases, including COVID-19 infection. Meta-analyses on mortality risk were inconsistent. We systematically searched 3 databases (Medline, Embase, CINAHL) and assessed the quality of studies using the Newcastle-Ottawa tool (CRD42020220140). We included 199 studies from US and Europe, with a mean age of participants 41.8-78.2 years, and a variable prevalence of metabolic co-morbidities of 20-80 %. Exceptionally, one third of the studies had a low prevalence of obesity of <20 %. Compared to patients with normal weight, those with obesity had a 34 % relative increase in the odds of mortality (p-value 0.002), with a dose-dependent relationship. Subgroup analyses showed an interaction with the country income. There was a high heterogeneity in the results, explained by clinical and methodologic variability across studies. We identified one trial only comparing mortality rate in vaccinated compared to unvaccinated patients with obesity; there was a trend for a lower mortality in the former group. Mortality risk in COVID-19 infection increases in parallel to an increase in BMI. BMI should be included in the predictive models and stratification scores used when considering mortality as an outcome in patients with COVID-19 infections. Furthermore, patients with obesity might need to be prioritized for COVID-19 vaccination.

Body composition assessment for sarcopenic obesity and 3-year mortality in older adults: A comparison study.

BACKGROUND: There is no universally accepted definition of sarcopenic obesity (SO), and its prevalence is ambiguous. This study aimed to investigate the prevalence of SO in older adults based on different definitions and determine which predicts all-cause mortality. METHODS: This prospective longitudinal follow-up study included outpatients aged ≥60 years. SO was defined by sarcopenia definition based on the European Working Group on Sarcopenia in Older People 2 (EWGSOP2) criteria plus obesity. Three different methods were used to define obesity. Body mass index (BMI) ≥ 30 kg/m2, waist circumference (WC) ≥ 102 cm for men and ≥88.0 cm for women, and body fat percentage (BF%) ≥ 37.3% for men and ≥51.1% for women. Different definitions of SO and their mortality predictions were compared. RESULTS: The median age of the 584 patients in the study was 70.0 (interquartile range, 66.0-76.0) years. The prevalence of sarcopenia was 38.5% (47.5% in men and 35.7% in women). The prevalence of SO based on BMI, WC, and BF% was 15.3%, 16.4%, and 10.5%, respectively. The mortality rate was 6.7%. SO based on BMI (odds ratio [OR], 2.73; 95% CI, 1.12-17.9; P = 0.024) and BF% (OR, 1.43; 95% CI, 1.19-3.02; P = 0.007) were significantly associated with 3-year mortality after adjusting for the confounding variables of age, sex, and number of comorbidities. SO based on WC was not associated with mortality (OR, 0.78; 95% CI, 0.07-1.27; P = 0.104). CONCLUSION: The use of BF% and BMI for defining SO is appropriate in outpatient older adults.

Temporal Trends in Obesity-Related Mortality Rates: An Analysis of Gender, Race/Ethnicity, and Geographic Disparities in the United States.

Obesity is a global public health concern linked to premature death and an increased burden of noncommunicable diseases. This study aims to assess obesity-related mortality rates and temporal trends in the United States. We investigate variations by gender, ethnicity, and state-level demographics using data from the Centers for Disease Control and Prevention WONDER database spanning 1999 to 2021. We identified 124,076 obesity-related deaths, with a mean age-adjusted mortality rate (AAMR) of 2.7 per 100,000 population. AAMRs increased over time, with the highest rises observed in non-Hispanic Black/African American and American Indian/Alaska Native populations, and among males. Certain states showed higher AAMRs. These findings underscore racial disparities in obesity-related mortality and the need for further research to address these disparities.

How does obesity affect mortality through blood pressure and blood glucose in Chinese and US citizens? Insights from a causal mediation analysis of two large cohorts.

Background: Obesity, which has reached the scale of a global pandemic, is a leading cause of premature death. It is unclear to what extent its effect on mortality was driven by blood pressure or glucose levels in people of different ethnicities. Methods: We conducted a causal mediation analysis to estimate the mediation effect of blood pressure and glucose between body mass index (BMI) or waist-hip ratio (WHR) on mortality based on data from the China Kadoorie Biobank (CKB) (n = 458 385) and US National Health and Nutrition Examination Survey (NHANES) (1999-2008, n = 20 726). Results: The WHR's effect on mortality was mediated by blood pressure and glucose in the CKB data set by 38.7% (95% confidence interval (CI) = 34.1, 43.2) and 36.4% (95% CI = 31.6, 42.8), whereas in NHANES by 6.0% (95% CI = 2.3, 8.3) and 11.2% (95% CI = 4.7, 22.7), respectively. For associations between BMI and mortality in subjects with overweight or obesity, the mediator proportion of blood glucose and pressure was 49.4% (95% CI = 40.1, 62.5) and 16.9% (95% CI = 13.6, 22.9) in CKB and 9.10% (95% CI = 2.2, 25.9) and 16.7% (95% CI = 7.3, 49.0) in NHANES, respectively. We stratified the patients by their blood glucose, blood pressure level, or both into four groups. The effect of WHR on mortality was comparable across subgroups in either cohort. The associations between BMI and mortality were stronger in patients with higher blood pressure in CKB (P = 0.011) and blood glucose in NHANES (P = 0.035) in patients with overweight and obesity. Conclusions: The relationship between WHR and mortality in the CKB data set was potentially caused by blood pressure and glucose to a much greater extent than in the NHANES one. The effect of BMI influenced by blood pressure was significantly higher among Chinese individuals with overweight and obesity. These results implicate a different intervention strategy is required for blood pressure and blood glucose in China and US to prevent obesity and obesity-related premature death.

Dietary diversity predicts the mortality among older people: Data from the fifth Thai national health examination survey.

OBJECTIVE: To examine the association between dietary diversity (DD) and mortality among Thai older people and to investigate whether age, sex, and nutritional status modify this association. METHODS: The national survey conducted from 2013 to 2015 recruited 5631 people aged >60 years. Dietary diversity score (DDS) was assessed for the consumption of eight food groups using food frequency questionnaires. The Vital Statistics System provided the data on mortality in 2021. The association between DDS and mortality was analyzed by Cox proportional hazard model and adjusted for the complex survey design. Interaction terms between DDS and age, sex, and BMI were also tested. RESULTS: The DDS was inversely associated with mortality (HRadj 0.98, 95%CI: 0.96-1.00). This association was stronger in people aged >70 years (HRadj 0.93, 95%CI: 0.90-0.96 for aged 70-79 years, and HRadj 0.92, 95%CI: 0.88-0.95 for aged >80 years). Inverse association between DDS and mortality was also found in the underweight older population (HRadj 0.95, 95%CI: 0.90-0.99). A positive association was found between DDS and mortality in the overweight/obese group (HRadj 1.03, 95%CI: 1.00-1.05). However, the interaction between the DDS with sex to mortality was not statistically significant. CONCLUSION: Increasing DD reduces mortality among Thai older people, especially in those above 70, and underweight. In contrast, an increase in DD also meant an increase in mortality among the overweight/obese group. Focus should be placed on the nutritional interventions aimed to improve DD for those 70 and over and underweight to reduce mortality.

Association of Bariatric Surgery With Cancer Risk and Mortality in Adults With Obesity.

Importance: Obesity increases the incidence and mortality from some types of cancer, but it remains uncertain whether intentional weight loss can decrease this risk. Objective: To investigate whether bariatric surgery is associated with lower cancer risk and mortality in patients with obesity. Design, Setting, and Participants: In the SPLENDID (Surgical Procedures and Long-term Effectiveness in Neoplastic Disease Incidence and Death) matched cohort study, adult patients with a body mass index of 35 or greater who underwent bariatric surgery at a US health system between 2004 and 2017 were included. Patients who underwent bariatric surgery were matched 1:5 to patients who did not undergo surgery for their obesity, resulting in a total of 30 318 patients. Follow-up ended in February 2021. Exposures: Bariatric surgery (n = 5053), including Roux-en-Y gastric bypass and sleeve gastrectomy, vs nonsurgical care (n = 25 265). Main Outcomes and Measures: Multivariable Cox regression analysis estimated time to incident obesity-associated cancer (a composite of 13 cancer types as the primary end point) and cancer-related mortality. Results: The study included 30 318 patients (median age, 46 years; median body mass index, 45; 77% female; and 73% White) with a median follow-up of 6.1 years (IQR, 3.8-8.9 years). The mean between-group difference in body weight at 10 years was 24.8 kg (95% CI, 24.6-25.1 kg) or a 19.2% (95% CI, 19.1%-19.4%) greater weight loss in the bariatric surgery group. During follow-up, 96 patients in the bariatric surgery group and 780 patients in the nonsurgical control group had an incident obesity-associated cancer (incidence rate of 3.0 events vs 4.6 events, respectively, per 1000 person-years). The cumulative incidence of the primary end point at 10 years was 2.9% (95% CI, 2.2%-3.6%) in the bariatric surgery group and 4.9% (95% CI, 4.5%-5.3%) in the nonsurgical control group (absolute risk difference, 2.0% [95% CI, 1.2%-2.7%]; adjusted hazard ratio, 0.68 [95% CI, 0.53-0.87], P = .002). Cancer-related mortality occurred in 21 patients in the bariatric surgery group and 205 patients in the nonsurgical control group (incidence rate of 0.6 events vs 1.2 events, respectively, per 1000 person-years). The cumulative incidence of cancer-related mortality at 10 years was 0.8% (95% CI, 0.4%-1.2%) in the bariatric surgery group and 1.4% (95% CI, 1.1%-1.6%) in the nonsurgical control group (absolute risk difference, 0.6% [95% CI, 0.1%-1.0%]; adjusted hazard ratio, 0.52 [95% CI, 0.31-0.88], P = .01). Conclusions and Relevance: Among adults with obesity, bariatric surgery compared with no surgery was associated with a significantly lower incidence of obesity-associated cancer and cancer-related mortality.

Obesidad en la mortalidad de pacientes con insuficiencia cardiaca y fracción de eyección reducida / Obesity in the mortality of patients with heart failure and reduced ejection fraction

Introducción: La asociación entre obesidad y menor mortalidad en pacientes con insuficiencia cardiaca y fracción de eyección del ventrículo izquierdo es controversial. Objetivo: Evaluar la asociación entre obesidad y mortalidad en pacientes con insuficiencia cardiaca y fracción de eyección reducida. Métodos: Se realizó un estudio observacional de cohorte prospectivo en pacientes con insuficiencia cardiaca y fracción de eyección reducida en el período comprendido entre enero del 2010 y diciembre de 2020. La muestra quedó conformada por 173 pacientes. Se evaluó la supervivencia mediante el método de Kaplan-Meier, para estimar el efecto del pronóstico de la variable obesidad sobre la mortalidad. Se utilizó el modelo de regresión de Cox. Resultados: Se observó que los pacientes obesos al año de seguimiento tuvieron mejor supervivencia que los que presentaron normopeso (0,6 versus 0,8) a los cinco años presentaron similar supervivencia los tres subgrupos de índice masa corporal (0,6), la mayor mortalidad la presentaron los pacientes bajo peso. La curva de éstos últimos, se distancia del resto de las categorías de IMC, Log Rank p= 0,001. En el modelo de regresión de Cox la obesidad presentó un odd ration OR=´1,159 p=0,648 (intervalo de confianza de 0,615-2,181). Conclusiones: En los pacientes con insuficiencia cardiaca con fracción de eyección reducida no se observó el fenómeno de obesidad paradójica en relación a la mortalidad(AU)

Introduction: The association between obesity and lower mortality in patients with heart failure and left ventricular ejection fraction is controversial. Objective: To evaluate the association between obesity and mortality in patients with heart failure and reduced ejection fraction. Methods: An observational prospective cohort study was carried out, from January 2010 to December 2020, in patients with heart failure and reduced ejection fraction. The sample was made up of 173 patients. Survival was evaluated using Kaplan-Meier method to estimate the prognostic effect of the obesity variable on mortality. Cox regression model was used. Results: It was observed that obese patients at one year of follow-up had better survival than those with normal weight (0.6 versus 0.8). At five years, the three subgroups of body mass index (0.6) showed similar survival and the highest mortality was observed by low weight patients. The curve of the latter differs from the rest of the BMI categories, Log Rank p=0.001. In the Cox regression model, obesity had an odds ratio OR=´1.159 p=0.648 (confidence interval 0.615-2.181). Conclusions: In patients with heart failure with reduced ejection fraction, the phenomenon of paradoxical obesity was not observed in relation to mortality(AU)

Risk of hospitalization and mortality due to COVID-19 in people with obesity: An analysis of data from a Brazilian state.

The aim of this article is to assess the odds ratio of hospitalization and mortality due to COVID-19 in people with obesity using data from residents of Espírito Santo, Brazil. An observational, quantitative, cross-sectional study was carried out from the database available on the official channel of the State Health Secretariat of Espírito Santo. Crude odds ratio estimates (ORs) referring to the association between variables were calculated, as well as adjusted odds ratios (adjusted odds ratios-OR adj.) and their respective 95% confidence intervals (CI 95%). The results indicate that men, non-white, no education or with lower education level and age over 40 years old were more likely to be hospitalized and died of COVID-19. People with obesity are at risk of hospitalization and death due to COVID-19 54% and 113% higher than people who do not have obesity. People with obesity had a higher chance of hospitalization when they were over 40 years old, had breathing difficulty, and the comorbidities diabetes (2.18 higher) and kidney disease (4.10 higher). The odds ratio of death for people with obesity over 60 years old was 12.51 higher, and those who were hospitalized was 17.9 higher compared to those who were not hospitalized.

Cardiorespiratory Fitness, BMI, Mortality, and Cardiovascular Disease in Adults with Overweight/Obesity and Type 2 Diabetes.

INTRODUCTION: We estimated the effects of cardiorespiratory fitness (CRF) and body mass index (BMI) at baseline on mortality and cardiovascular disease events in people with type 2 diabetes who participated in the Look AHEAD randomized clinical trial. METHODS: Look AHEAD compared effects of an intensive lifestyle intervention with diabetes support and education on cardiovascular disease events in 5145 adults age 45-76 yr with overweight/obesity and type 2 diabetes. In 4773 participants, we performed a secondary analysis of the association of baseline CRF during maximal treadmill test (expressed as metabolic equivalents (METs)) on mortality and cardiovascular disease events during a mean follow-up of 9.2 yr. RESULTS: The mean (SD) CRF was 7.2 (2.0) METs. Adjusted for age, sex, race/ethnicity, BMI, intervention group, and ß-blocker use, all-cause mortality rate was 30% lower per SD greater METs (hazard ratio (HR) = 0.70 (95% confidence interval, 0.60 to 0.81); rate difference (RD), -2.71 deaths/1000 person-years (95% confidence interval, -3.79 to -1.63)). Similarly, an SD greater METs predicted lower cardiovascular disease mortality (HR, 0.45; RD, -1.65 cases/1000 person-years) and a composite cardiovascular outcome (HR, 0.72; RD, -6.38). Effects of METs were homogeneous on the HR scale for most baseline variables and outcomes but heterogeneous for many on the RD scale, with greater RD in subgroups at greater risk of the outcomes. For example, all-cause mortality was lower by 7.6 deaths/1000 person-years per SD greater METs in those with a history of cardiovascular disease at baseline but lower by only 1.6 in those without such history. BMI adjusted for CRF had little or no effect on these outcomes. CONCLUSIONS: Greater CRF is associated with reduced risks of mortality and cardiovascular disease events.

A population-based cohort study of obesity, ethnicity and COVID-19 mortality in 12.6 million adults in England.

Obesity and ethnicity are known risk factors for COVID-19 outcomes, but their combination has not been extensively examined. We investigate the association between body mass index (BMI) and COVID-19 mortality across different ethnic groups using linked national Census, electronic health records and mortality data for adults in England from the start of pandemic (January 2020) to December 2020. There were 30,067 (0.27%), 1,208 (0.29%), 1,831 (0.29%), 845 (0.18%) COVID-19 deaths in white, Black, South Asian and other ethnic minority groups, respectively. Here we show that BMI was more strongly associated with COVID-19 mortality in ethnic minority groups, resulting in an ethnic risk of COVID-19 mortality that was dependant on BMI. The estimated risk of COVID-19 mortality at a BMI of 40 kg/m2 in white ethnicities was equivalent to the risk observed at a BMI of 30.1 kg/m2, 27.0 kg/m2, and 32.2 kg/m2 in Black, South Asian and other ethnic minority groups, respectively.