Nutrition Metabolism and Cardiovascular Diseases最新文献

Background and aims: Predictors of outcomes are needed in order to improve the clinical management of patients with Anorexia Nervosa (AN). The present study evaluated whether cardiac dysfunction might be associated with different longitudinal outcomes of AN.

Methods and results: A sample of 35 patients with AN (11 restricting, 24 binge-purging- age range 16-28 years old) and 42 healthy controls (18-29 years old) were evaluated in terms of psychometric variables, Body Mass Index (BMI), body composition (by bioimpedance analysis, namely: Fat-Free Mass - FFM, Fat Mass - FM, Body Cell Mass - BCM, Phase Angle - PhA) and cardiac functioning (left ventricular ejection fraction - LVEF; global longitudinal strain - LVGLS). FM was significantly and negatively associated with eating psychopathology (weight and shape concerns, b -0.523, p 0.029; and shape concerns b -0.578, p0.015), while cardiac dysfunction (LVGLS > -18%) was positively associated with dietary restraints (b 1.253, p 0.043). LVEF, in turn, was positively associated with BCM (b 0.721, p 0.008) and FFM (b 0.779, p 0.039). Cardiac dysfunction negatively impacted the effect of nutritional rehabilitation, as those patients reporting reduced LVGLS showed lower FFM (b -4.410, p 0.011), FM (b -1.495, p 0.003) and BCM (b -2.205, p 0.015) at follow-up after three months.

Conclusion: These preliminary results showed that cardiac functioning might represent an early predictor of cachexia and chronicity, while body composition seems to be a more accurate measure for evaluating the recovery process of patients with AN.

Background and aims: Cigarette smoking is a well-established risk factor for cardiovascular disease and other aging-related disorders; yet the pathogenesis of these diseases induced by smoking remains relatively underexplored. This study was to assess the association between cigarette smoking and serum α-Klotho levels, an anti-aging protein, in US adults.

Methods and results: Data on 4196 participants aged 40-79 years from the 2013-2016 National Health and Nutrition Examination Survey was analyzed for the association using multiple general linear models. Smoking was assessed using both questionnaire data and serum cotinine measurements. Both past and current smokers exhibited significantly lower levels of α-Klotho, with the light smokers exhibiting the lowest levels [geometric mean: 720.85 pg/mL; 95% CI: 662.53, 784.31], compared with non-smokers [806.75 (790.69, 823.13)]. A significantly inverse association between current smoking and α-Klotho levels was revealed. This relationship extended across smoking intensities, with even light smokers displaying the strongest association. After adjusting for potential confounders, light (smoked <5 pack-years), moderate (5-19 pack-years), and heavy smoking (≥20 pack-years) were associated with reductions of 10.81% (-16.91, -4.28), 6.43% (-10.24, -2.47), and 3.38% (-6.83, 0.19) of Klotho levels, respectively, when compared to non-smoking. Active smoking, defined as serum cotinine levels ≥10 ng/mL, was associated with a 4.59% decrease (-6.91, -2.23) in α-Klotho levels.

Conclusion: The study demonstrates an inverse relationship between current smoking and serum α-Klotho levels among middle-aged and older adults. Our findings suggest that Klotho may play an important role in smoking-induced diseases. Further investigations are warranted to explore these interactions.

Background and aims: Socioeconomic status (SES) is known to impact the prognosis of acute myocardial infarction (AMI). However, due to the limited scope of previous studies, this study aimed to investigate the impact of SES on the prognosis of AMI patients within the Korean national healthcare insurance system.

Methods and results: A retrospective cohort study included patients who were diagnosed with AMI between 2007 and 2008 from the Korean National Health Insurance Service and underwent a national health check-up program. Primary endpoint was all-cause mortality. The median follow-up duration was 13.5 years. The SES was divided into tertile scale based on insurance premiums and economic status. Tertile 1 (T1) was the lowest SES, and tertile 3 (T3) was the highest SES. A total of 5971 patients were included, of whom 4329 were employed insured (EI), and 1642 were self-employed insured (SI). After adjusted confounding variables, the Cox-regression model showed SI was associated with worse outcome compared with EI (hazard ratio (HR) [95 % confidence intervals (CIs)], 1.11 [1.02-1.22]). Among individuals in EI, lower economic status showed a trend of worse outcome, but it was not significant (lower tertile vs. higher tertile group, HR [95 % CIs], 1.01 [0.88-1.14]). However, compared with T3 in SI, HRs (95 % CIs) for all-cause death in T2 and T1 were 1.33 (1.09-1.63) and 1.34 (1.10-1.64), respectively.

Conclusion: SES significantly affected the long-term outcome in patients with AMI. SI and lower economic status in SI were associated with a higher mortality rate than EI and higher economic status, respectively. Further investigation of the underlying role of SES in increased mortality after AMI is warranted.

Background and aims: The recent emphasis on systemic inflammation markers has focused primarily on their association with cardiac disorders, particularly the prevalence of hypertension, in adults but not children and adolescents. This research aimed to explore the associations between systemic inflammation markers and the occurrence of hypertension in 8- to 17-year-old children and adolescents in the United States.

Methods and results: Data from 6095 participants under 18 years of age were obtained from the National Health and Nutritional Examination Survey (NHANES: 1999-2020). This study examined the associations between the incidence of hypertension and four indicators of systemic inflammation: the systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR). Multivariate logistic regression analysis results are represented as odds ratios (ORs) and 95 % confidence intervals (CIs), and subgroup analyses were conducted to further explore associations. After fully adjusting for potential confounding covariates, the SII, NLR, and PLR were positively associated with hypertension. Compared with individuals in the bottom quartiles, those in the top SII, NLR, and PLR quartiles were 2.12, 2.11, and 1.57 times more likely to have hypertension, respectively. Conversely, the LMR was negatively associated with hypertension incidence, particularly among those in the highest LMR quartiles (OR = 0.59, 95 % CI = 0.39-0.88; P = 0.009). Subgroup analyses revealed that the four indicators exhibited strong correlations with hypertension in male subjects.

Conclusion: This study revealed significant relationships between systemic inflammatory markers and hypertension incidence, highlighting the potential of these markers as hypertension risk indicators, particularly among male patients.