Relative Fat Mass Index can be solution for obesity paradox in coronary artery disease severity prediction calculated by SYNTAX Score

In-hospital outcomes in metabolically healthy and unhealthy individuals over 65 years of age with obesity undergoing percutaneous intervention for acute coronary syndrome: A nationwide propensity-matched analysis (2016-2020)

Background

The obesity paradox in patients with coronary artery disease is well established, but the role of the metabolic syndrome associated with obesity is not well studied. Our study aims to evaluate the in-hospital outcomes of percutaneous coronary intervention (PCI) in metabolically healthy individuals with obesity (MHO) and metabolically unhealthy (MUHO) individuals with obesity over 65 years of age with acute coronary syndrome (ACS) between 2016 and 2020.

Methods

This was a retrospective and observational study. Patients were identified through utilizing the National Inpatient Sample (NIS) Database (2016-2020) and ICD-10 codes. By employing a t-test and Pearson's Chi-square test, we assessed and contrasted the initial attributes, concurrent conditions, and results pertaining to all-cause mortality (ACM), cardiogenic shock (CS), length of stay (LOS), and hospitalization expense. Moreover, propensity score matching was conducted in a 1:1 ratio with respect to age, gender, and race. We also utilized multivariable logistic regression to compare MHO and MUHO in terms of the impact on all-cause mortality.

Results

Out of a total of 135,395 patients identified, 2995 patients with MUHO were matched with 2995 MHO patients. Patients in the MUHO group had a higher prevalence of chronic pulmonary disease (24.9 % vs. 19.5 %), peripheral vascular disease (9.3 % vs. 6.7 %), hypothyroidism (16 % vs. 11.5 %), prior myocardial infarction (15.9 % vs. 6.2 %), and prior stroke (7.5 % vs. 2.8 %). Patients in the MHO group had a higher ACM (12.4 % vs. 2.8 %, p < 0.001), CS (18.55 % vs. 7 %, p < 0.001), stroke (2.2 % vs. 1 %, p < 0.001), ventricular assist device insertions (5.2 % vs. 2.7 %, p < 0.001), and IABP insertions (8.8 % vs. 3.8 %) compared to the MUHO cohort.

Conclusion

Our study revealed an obesity paradox in individuals over 65 years of age undergoing PCI demonstrating worse outcomes, including higher in-hospital mortality, CS, stroke, Ventricular assist device and IABP insertion in MHO patients compared to the MUHO cohort.

The relationship between depression and relative fat mass (RFM): A population-based study

BACKGROUND

Relative fat mass (RFM) is a novel indicator for measuring body fat. The relationship between RFM and depression was explored using National Health and Nutrition Examination Survey (NHANES) data from 2005 to 2018.

METHODS

A general statistical description of the population included in the study was performed, and logistic analyses were used to explore the association between body mass index (BMI), waist circumference (WC), RFM and depression. Sensitivity analyses and restricted cubic spline (RCS) were also conducted to investigate the association between RFM and depression.

RESULTS

A total of 28,836 participants were included in the study. In multivariate models, all obesity indices were associated with depression (P < 0.001). An increase of 1 SD in BMI, WC, and RFM was associated with a respective increased risk of depression of 2.3 %, 1.0 %, and 3.3 %. Excluding those taking antidepressants, the risk of depression was OR 1.88 (95 % CI: 1.26-2.79) for those with RFM in the highest quartile compared with those in the lowest quartile. After Inverse probability of weighting (IPW), the risk of depression in individuals with RFM in the highest quartile compared with individuals in the lowest quartile was 2.62 (95 % CI: 2.21-3.09). The RCS showed a possible nonlinear relationship between RFM and depression.

CONCLUSIONS

RFM is associated with depression, suggesting that attention to RFM may be helpful for depression research.

Predictive values of relative fat mass and body mass index on cardiovascular health in community-dwelling older adults: Results from the Longevity Check-up (Lookup) 7

OBJECTIVES

To assess the predictive value of relative fat mass compared to body mass index for hypertension, diabetes, hyperlipidemia, and heightened cardiovascular risk in a cohort of community-dwelling older adults from the Longevity Check-up 7+ cohort.

STUDY DESIGN

Retrospective cross-sectional study.

MAIN OUTCOME MEASURES

Hyperlipidemia was defined as total cholesterol ≥200 mg/dL or ongoing lipid-lowering treatment. Diabetes was defined either as self-reported diagnosis or fasting blood glucose >126 mg/dL or a random blood glucose >200 mg/dL. Hypertension was defined as blood pressure ≥ 140/90 mmHg or requiring daily antihypertensive medications. Heightened cardiovascular risk was operationalized as having at least two of these conditions.

RESULTS

Analyses were conducted in 1990 participants (mean age 73.2 ± 6.0 years; 54.1 % women). Higher proportions of men than women had hypertension and diabetes, while hyperlipidemia was more prevalent in women. Receiver operating curve analysis indicated relative fat mass was a better predictor of hypertension in women and diabetes in both sexes. Body mass index performed better in predicting hyperlipidemia in women. Relative fat mass thresholds of ≥27 % for men and ≥40 % for women were identified as optimal indicators of heightened cardiovascular risk and so were used to defined high adiposity. Moderate correlations were found between high adiposity or body mass index ≥25 kg/m2 and the presence of hypertension, hyperlipidemia and heightened cardiovascular risk, while a strong correlation was found with diabetes. Logistic regression analysis highlighted significant associations between high adiposity and increased odds of hypertension, diabetes, and heightened cardiovascular risk.

CONCLUSIONS

Proposed cut-offs for relative fat mass were more reliable indices than the usual cut-offs for body mass index for identifying individuals at heightened cardiovascular risk. Our findings support the role of anthropometric measures in evaluating body composition and the associated metabolic and cardiovascular conditions in older adults.

Obesity Paradox in Coronary Thrombus Burden of Patients with Acute Coronary Syndrome

Background: Acute coronary syndrome (ACS) remains a major cause of morbidity and mortality worldwide. Although obesity is a risk factor for ACS, decreased mortality has been shown in overweight individuals. This study aims to determine the association of body fat parameters such as body fat percentage (BFP), relative fat mass (RFM), and coronary thrombus burden with angiographic thrombotic grade in a series of patients presenting with ACS. Methods: Three hundred ninety patients who underwent percutaneous coronary intervention were enrolled in the study. BFP was calculated using the U.S. Navy formula. RFM index was calculated using gender, height, and waist circumference regardless of weight. Body mass index (BMI) is calculated as the weight in kilograms divided by the square of body length in meters (kg/m²). Two experienced interventional cardiologists reviewed coronary angiograms according to the TIMI thrombus scale. Patients were divided into groups according to thrombus classification and clinical status. Results: RFM, which is an anthropometric measurement parameter for obesity, was inversely related to thrombus burden in patients with ACS. There were no significant differences between ST-elevation myocardial infarction (STEMI) and non-ST-elevation myocardial infarction (NSTEMI) groups according to demographic, clinical characteristics, and coronary risk factors. Likewise, RFM, BFP, and BMI were comparable between the two groups. BFP and RFM were lower in patients with thrombus present STEMI group compared with no thrombus group. Thrombus presence was also compared in the NSTEMI group, and BMI, BFP, and RFM were lower in patients with thrombus present NSTEMI group. Conclusions: Our analysis demonstrated that RFM was better than BFP and BMI for predicting thrombus presence in patients with ACS.