Prognostic impact of body mass index on in-hospital bleeding complications after ST-segment elevation myocardial infarction

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.

Evaluation of cardiometabolic risk markers linked to reduced left ventricular ejection fraction (LVEF) in patients with ST-elevation myocardial infarction (STEMI)

Background

It is well established that left ventricular systolic dysfunction (LVSD), as marked by reduced left ventricular ejection fraction (LVEF), notably worsens the prognosis of ST-elevation myocardial infarction (STEMI). However, the link between cardiometabolic risk markers and LVSD seems unclear. This study aimed to investigate the differences in variables affecting reduced LVEF in STEMI patients.

Methods

In the current retrospective study, 200 consecutive STEMI patients were enrolled between April 2016 to January 2017. Analysis of serum parameters, anthropometric evaluation, and echocardiography was performed after admission. The participants were categorized according to LVEF levels as follows: group1 (normal: 50–70%, n = 35), group2 (mildly reduced: 40–49%, n = 48); group3 (moderately reduced: 30–39%, n = 94) and group4 (severely reduced: < 30%, n = 23). Between-group comparisons were made using the Kruskal–Wallis test.

Results

Overall, of 200 STEMI patients with a mean age of 62 years, 27%(n = 54) were females. The median of BMI of patients in group4 (31.07 kg/m²) was significantly higher than group3 (26.35 kg/m²), group2 (25.91 kg/m²), and group1 (24.98 kg/m²; P value < 0.0001). Group4 patients showed significantly increased fasting blood sugar (FBS) than groups 1 (212.00, vs. 139.00 mg/dl; P value = 0.040). Patients in groups 1 and 2 exerted significantly elevated triglyceride levels than those in group4 (142.00, 142.50, and 95.00 mg/dl; P value = 0.001). WBC count, neutrophil%, and neutrophil to lymphocyte ratio among those in group1 (10,200/m³, 70.00%, and 2.92, respectively) were significantly lower than group4 (12,900/m³, 83.00%, and 5.47, respectively; P value < 0.05).

Conclusion

These findings highlight higher BMI, FBS, and leucocyte count linked to LVSD, probably through increasing the inflammation and reducing LVEF levels. More extensive studies are needed to clarify the clinical relevance of these results.

Different Patterns in Ranking of Risk Factors for the Onset Age of Acute Myocardial Infarction between Urban and Rural Areas in Eastern Taiwan

This cross-sectional study aimed to investigate the difference in ranking of risk factors of onset age of acute myocardial infarction (AMI) between urban and rural areas in Eastern Taiwan. Data from 2013 initial onset of AMI patients living in the urban areas (n = 1060) and rural areas (n = 953) from January 2000 to December 2015, including onset age, and conventional risk factors including sex, smoking, diabetes, hypertension, dyslipidemia, and body mass index (BMI). The results of multiple linear regressions analysis showed smoking, obesity, and dyslipidemia were early-onset reversible risk factors of AMI in both areas. The ranking of impacts of them on the age from high to low was obesity (β = −6.7), smoking (β = −6.1), and dyslipidemia (β = −4.8) in the urban areas, while it was smoking (β = −8.5), obesity (β= −7.8), and dyslipidemia (β = −5.1) in the rural areas. Furthermore, the average onset ages for the patients who smoke, are obese, and have dyslipidemia simultaneously was significantly earlier than for patients with none of these comorbidities in both urban (13.6 years) and rural (14.9 years) areas. The findings of this study suggest that the different prevention strategies for AMI should be implemented in urban and rural areas.