Body Mass Index (BMI) and Its Influence on the Cardiovascular and Operative Risk Profile in Coronary Artery Bypass Grafting Patients: Impact of Inflammation and Leptin

Does Mental Distress Predict Cardiac Surgical Outcome?

BACKGROUND

 Mental distress is suspected to influence the morbidity of cardiac patients. Evaluating mental distress in cardiac patients is rare and the impact on surgical outcome is still not certified.

METHODS

 In 94 cardiac surgical patients, mental distress was assessed by the Patient Health Questionnaire-4 (PHQ-4). We defined length of stay in hospital and on intensive care unit as well as time of mechanical ventilation as outcomes on surgery. Age, physical activity, diabetes, overweight, PHQ-4, and an inflammation marker were tested for their predictive value on outcomes.

RESULTS

 Reportedly prevalence of generalized anxiety was 16.0% and depression rate was 13.8%. Length of stay in hospital was 13 ± 8 days, time of mechanical ventilation was 10 (0-1,207) hours, and length of stay on intensive care unit was 3 ± 6 days. Length of stay in hospital was significantly predicted by age (p = 0.048), low physical activity (p = 0.029), and high C-reactive protein (CRP; p = 0.031). Furthermore, CRP was the only significant predictor of time of mechanical ventilation and length of stay on intensive care unit.

CONCLUSION

 Outcome was not predicted by mental distress. However, inflammation marker CRP was predictive for outcome, potentially caused by higher cardiovascular risk profile. Additionally, depression was referred to be associated with inflammation. Probably, the small sample and the timing of assessment were responsible for the missing relation between mental distress and outcome. We presume a relation with low physical activity and depression. Nevertheless, further randomized studies are needed to pay more attention on patients' distress to intervene preoperatively to improve postoperative outcome.

Evaluating the correlation of serum leptin levels with evidence of coronary artery disease on myocardial perfusion single-photon emission computed tomography in suspected coronary artery disease patients

BACKGROUND

Cardiovascular disease is currently the most common cause of death worldwide. Several risk factors have been identified for cardiovascular diseases, including hypertension, hyperlipidemia and diabetes. Leptin is a peptide hormone that acts as a proinflammatory cytokine and has a variety of effects in hemostasis and metabolism such as lipid metabolism, production of glucocorticoid, angiogenesis, etc. The aim of this study was to determine the relationship between the concentrations of leptin with evidence of coronary artery disease in the myocardial perfusion scan.

METHOD

A one year retrospective cross-sectional study was conducted on patients who are suspected of coronary artery disease that referred to the nuclear medicine department for performing myocardial perfusion scan. The patients were classified based on the results of the myocardial perfusion scan. Serum leptin was measured with ELISA assay. The correlation of serum leptin with these parameters and also with different groups of age, sex and coronary artery disease risk factors was also compared.

RESULTS

The mean serum level of leptin was 290.44 ng/ml (82.9-1600 ng/ml). There is no meaningful relation between serum leptin and coronary artery disease risk factors, age and sex; also, none of the quantitative myocardial perfusion scan parameters have a significant correlation with serum leptin.

CONCLUSION

Based on our findings, there was no significant correlation between myocardial perfusion scan parameters and leptin levels. Serum leptin and different groups of age, sex and coronary artery risk factors were not correlated as well.

Association of Body Composition with Pulmonary Function in Ningxia: The China Northwest Cohort

BACKGROUND

In recent decades, obesity has become an epidemic worldwide and is a risk factor for many chronic diseases. Lung function is also a predictor of various chronic diseases. However, research results on the association between obesity and lung function are inconsistent and few studies have evaluated the association between central obesity indicators and lung function. Therefore, this study explored the correlation between central obesity and lung function.

METHODS

This study is a cross-sectional study. The basic participant characteristics were collected by questionnaire. A tape measure was used to measure waist circumference (WC) and hip circumference (HC). Body fat percentage was measured using an InBody370. Lung function parameters were measured using a digital spirometer connected to a computer (Chestgraph HI-101). R (R4.0.5) software was used for data analysis. A generalized linear model was used to analyze the association between obesity and lung function.

RESULTS

This study found that body mass index (BMI) adjusted for WC was negatively correlated with forced vital capacity (FVC) (β=-0.05 [-0.06, -0.03] in men, β=-0.05 [-0.07, -0.04] in women) and forced expiratory volume in 1 s (FEV1)(β=-0.02 [-0.03, -0.00] in men, β=-0.03 [-0.04, -0.02] in women). Body fat percentage was negatively correlated with FVC (β=-0.01 [-0.01, -0.01] in men, β=-0.01 [-0.01, -0.00] in women).

CONCLUSION

Central obesity and combined central and general obesity were more strongly positively correlated with lung function. WC-adjusted BMI was negatively correlated with lung function. Body fat percentage was negatively correlated with lung function.

Association of Dietary Inflammatory Index (DII) and Depressive Disorders

A lot of evidence shows that inflammation is related to the development of depression. However, the heterogeneity of depression hinders efforts to understand, prevent and treat this disease. The purpose of this comprehensive review is to summarize the links between inflammation and the established core features of depression, which show more homogeneity than the syndrome itself: overreaction to negative information, changes in reward processing, and cognitive control decline, and somatic syndrome. For each core feature, we first briefly outline its relevance to depression and neurobiological basis, and then review the evidence to investigate the potential role of inflammation. We mainly focus on the discovery of the experimental paradigm of exogenous inflammation. We concluded that inflammation may play a role in overreaction to negative information, altered reward responses, and physical symptoms. There is less evidence to support the effect of inflammation on cognitive control by standard neuropsychological measures. Finally, we discussed the implications for future research and recommendations on how to test the role of inflammation in the pathogenesis of heterogeneous mental illness.

The Relationship Between Body Mass Index and In-Hospital Mortality in Patients Following Coronary Artery Bypass Grafting Surgery

Background: The association between Body Mass Index (BMI) and clinical outcomes following coronary artery bypass grafting (CABG) remains controversial. Our objective was to investigate the real-world relationship between BMI and in-hospital clinical course and mortality, in patients who underwent CABG. Methods: A sampled cohort of patients who underwent CABG between October 2015 and December 2016 was identified in the National Inpatient Sample (NIS) database. Outcomes of interest included in-hospital mortality, peri-procedural complications and length of stay. Patients were divided into 6 BMI (kg/m²) subgroups; (1) under-weight ≤19, (2) normal-weight 20-25, (3) over-weight 26-30, (4) obese I 31-35, (5) obese II 36-39, and (6) extremely obese ≥40. Multivariable logistic regression model was used to identify predictors of in-hospital mortality. Linear regression model was used to identify predictors of length of stay (LOS). Results: An estimated total of 48,710 hospitalizations for CABG across the U.S. were analyzed. The crude data showed a U-shaped relationship between BMI and study population outcomes with higher mortality and longer LOS in patients with BMI ≤ 19 kg/m² and in patients with BMI ≥40 kg/m² compared to patients with BMI 20-39 kg/m². In the multivariable regression model, BMI subgroups of ≤19 kg/m² and ≥40 kg/m² were found to be independent predictors of mortality. Conclusions: A complex, U-shaped relationship between BMI and mortality was documented, confirming the "obesity paradox" in the real-world setting, in patients hospitalized for CABG.