Body Mass Index and Mortality Among Adults With Incident Myocardial Infarction

Association of normal body mass index and weight loss with long-term major cardiovascular events after PCI for myocardial infarction

Objectives: To investigate whether normal body mass index (BMI) shortly after percutaneous coronary intervention (PCI) for myocardial infarction is associated with increased risk of long-term major cardiovascular events (MACE), and to explore potential clinical determinants of long-term weight loss (WL) after PCI. Methods: Single-center cohort study with 5-year follow-up of patients treated with PCI for myocardial infarction between 2016 and 2018. Categorical WL was defined as > 0 kg body weight reduction from baseline to end of follow-up. Results: Of 236 patients (24% women), mean age was 64.9 ± 10.2 years and mean BMI within 4 days after PCI was 27.1 ± 4.3 kg/m2. Seventy-five patients (32%) had at least one MACE, equally distributed between those with normal weight (31%), overweight (32%), and obesity (31%). Patients with overweight or obesity had a lower crude mortality rate than their normal weight counterparts (7.4% vs 16.4%, p = 0.049), but the relative hazard of death did not differ from those with normal weight, HR 0.50, 95% CI 0.22-1.15. Patients with either a long-term WL (n = 112) or no WL (n = 95) had a comparable incidence of non-fatal MACE (27% vs 22%, p = 0.518). The proportion of patients reporting unintentional weight loss was significantly higher in the normal weight group (82%) compared with those with overweight (41%) or obesity (28%), p < 0.001. Conclusion: Our results did not confirm any association between normal BMI after PCI and long-term MACE. However, patients with normal BMI at baseline had a higher incidence of unintentional WL than those with elevated BMI. Trial registration: Current research information system in Norway (CRISTIN): ID 542528.

"We adjusted for race": now what? A systematic review of utilization and reporting of race in American Journal of Epidemiology and Epidemiology, 2020-2021

Race is a social construct, commonly used in epidemiologic research to adjust for confounding. However, adjustment of race may mask racial disparities, thereby perpetuating structural racism. We conducted a systematic review of articles published in Epidemiology and American Journal of Epidemiology between 2020 and 2021 to (1) understand how race, ethnicity, and similar social constructs were operationalized, used, and reported; and (2) characterize good and poor practices of utilization and reporting of race data on the basis of the extent to which they reveal or mask systemic racism. Original research articles were considered for full review and data extraction if race data were used in the study analysis. We extracted how race was categorized, used-as a descriptor, confounder, or for effect measure modification (EMM)-and reported if the authors discussed racial disparities and systemic bias-related mechanisms responsible for perpetuating the disparities. Of the 561 articles, 299 had race data available and 192 (34.2%) used race data in analyses. Among the 160 US-based studies, 81 different racial categorizations were used. Race was most often used as a confounder (52%), followed by effect measure modifier (33%), and descriptive variable (12%). Fewer than 1 in 4 articles (22.9%) exhibited good practices (EMM along with discussing disparities and mechanisms), 63.5% of the articles exhibited poor practices (confounding only or not discussing mechanisms), and 13.5% were considered neither poor nor good practices. We discuss implications and provide 13 recommendations for operationalization, utilization, and reporting of race in epidemiologic and public health research.

Lifestyle and the risk of acute coronary event: a retrospective study of patients after myocardial infarction

Introduction

Unhealthy lifestyle behaviours that may contribute to the development of disorders leading to MI include consuming foods with a high glycaemic load and excessive supply of saturated fats, especially trans fats. Limiting the consumption of simple and refined carbohydrates, such as sweets, sweet drinks, white bread, or white pasta, has a positive effect on the lipid profile by lowering the concentration of triglycerides. Eliminating simple sugars, especially fructose, prevents the deposition of visceral adipose tissue.

Materials and methods

The study included 116 patients of the Silesian Centre for Heart Diseases in Zabrze (SCCS; Poland), with their average age being 59.45 ± 11.54 years, staying in the SCCS due to MI, from March to November 2022. The comprehensive assessment of diet quality included 72 patients: 15 women and 57 men. The research tool was the KomPAN questionnaire for examining dietary views and habits, developed by the Committee on Human Nutrition Science of the Polish Academy of Sciences, evaluating the diet in the year preceding the study. The following three indicators were used to assess the diet quality: pro-Healthy Diet Index (pHDI), non-Healthy Diet Index (nHDI) and Diet Quality Index (DQI).

Results

Most patients ate white wheat bread several times a day (39.66% of patients, with a higher percentage in men than in women - 42.35% vs. 32.26%), and white rice, fine-ground groats and pasta once a week (40.52% of patients, including 41.17% of men and 38.71% of women). Legume seeds were predominantly eaten 1-3 times a month (51.73% of responses, with comparable percentages of men and women, i.e., 51.76% vs. 51.62%), vegetables several times a week (42.25% of responses, including more women than men, i.e., 54.84% vs. 37.64%), and fruit once a day (40.52% of responses, including more men than women: 45.89% vs. 25.81%).

Conclusion

The results of our assessment of individual behaviours of the whole group may indicate errors in the diet. The value of the pro-Healthy Diet Index appears to confirm this fact, while the non-Healthy Diet Index and Diet Quality Index values do not clearly demonstrate its potential adverse impact on health. These limitations of our study may be due to differences in the size of the study population and the size of the population included in the comprehensive diet assessment. Therefore, it seems necessary to conduct further research.

Extremes of both weight gain and weight loss are associated with increased incidence of heart failure and cardiovascular death: evidence from the CANVAS Program and CREDENCE

BACKGROUND

Obesity is an independent risk factor for cardiovascular disease (CVD) in patients with type 2 diabetes (T2D). However, it is not known to what extent weight fluctuations might be associated with adverse outcomes. We aimed at assessing the associations between extreme weight changes and cardiovascular outcomes in two large randomised controlled trials of canagliflozin in patients with T2D and high cardiovascular (CV) risk.

METHODS

In the study populations of the CANVAS Program and CREDENCE trials, weight change was evaluated between randomization and week 52-78, defining subjects in the top 10% of the entire distribution of weight changes as gainers, subjects in the bottom 10% as losers and the remainder as stable. Univariate and multivariate Cox proportional hazards models were used to test the associations between weight changes categories, randomised treatment and covariates with heart failure hospitalisation (hHF) and the composite of hHF and CV death.

RESULTS

Median weight gain was 4.5 kg in gainers and median weight loss was 8.5 kg in losers. The clinical phenotype of gainers as well as that of losers were similar to that of stable subjects. Weight change within each category was only slightly larger with canagliflozin than placebo. In both trials, gainers and losers had a higher risk of hHF and of hHF/CV death compared with stable at univariate analysis. In CANVAS, this association was still significant by multivariate analysis for hHF/CV death in both gainers and losers vs. stable (hazard ratio - HR 1.61 [95% confidence interval - CI: 1.20-2.16] and 1.53 [95% CI 1.14-2.03] respectively). Results were similar in CREDENCE for gainers vs. stable (adjusted HR for hHF/CV death 1.62 [95% CI 1.19-2.16]) CONCLUSIONS: Extremes of weight gain or loss were independently associated with a higher risk of the composite of hHF and CV death. In patients with T2D and high CV risk, large changes in body weight should be carefully assessed in view of individualised management.

TRIALS REGISTRATION

CANVAS ClinicalTrials.gov number: NCT01032629. CREDENCE ClinicalTrials.gov number: NCT02065791.

Effects of weight change on all causes, digestive system and other causes mortality in Southern Italy: a competing risk approach

Weight change is associated with all causes of death, cardiovascular, and cancer mortality and a heterogeneous group of other causes of death. We aimed to estimate the effect of weight change on all causes and cause-specific mortality in a cohort with a high prevalence of deaths due to diseases of the digestive system.MethodsIn this prospective cohort study, 2230 subjects aged 30 to 50 years were examined. The study consisted of a 32-year longitudinal study period (January 1985 to December 2017) and mortality follow-up. Outcomes were mortality from all causes and deaths from gastrointestinal disease. Root Mean Squared Error (RMSE) was evaluated to capture individual residual variation in Body Mass Index (BMI) after adjustment for baseline BMI, and the relationship of residual variation with mortality was calculated as cumulative incidence function and cause-specific hazard (CSH) rate.ResultsIn total, 793 participants died during the follow-up, 96 of them due to Digestive system causes. Magnitude of residual variation weight in the last quintile was associated with all-cause mortality (relative risk, 2.00; 95% CI, 1.54-2.59) and Digestive system causes (relative risk, 3.82; 95% CI, 1.86-7.81).ConclusionThe findings suggest an association between weight change and gastrointestinal disease mortality. Epidemiological works studying the correlation between weight change and mortality should consider this aspect.