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Research Square Jun 2024Coronary artery calcium (CAC) scans contain valuable information beyond the Agatston Score which is currently reported for predicting coronary heart disease (CHD) only....
AI-enabled Cardiac Chambers Volumetry and Calcified Plaque Characterization in Coronary Artery Calcium (CAC) Scans (AI-CAC) Significantly Improves on Agatston CAC Score for Predicting All Cardiovascular Events: The Multi-Ethnic Study of Atherosclerosis.
Coronary artery calcium (CAC) scans contain valuable information beyond the Agatston Score which is currently reported for predicting coronary heart disease (CHD) only. We examined whether new artificial intelligence (AI) algorithms applied to CAC scans may provide significant improvement in prediction of all cardiovascular disease (CVD) events in addition to CHD, including heart failure, atrial fibrillation, stroke, resuscitated cardiac arrest, and all CVD-related deaths. We applied AI-enabled automated cardiac chambers volumetry and automated calcified plaque characterization to CAC scans (AI-CAC) of 5830 individuals (52.2% women, age 61.7±10.2 years) without known CVD that were previously obtained for CAC scoring at the baseline examination of the Multi-Ethnic Study of Atherosclerosis (MESA). We used 15-year outcomes data and assessed discrimination using the time-dependent area under the curve (AUC) for AI-CAC versus the Agatston Score. During 15 years of follow-up, 1773 CVD events accrued. The AUC at 1-, 5-, 10-, and 15-year follow up for AI-CAC vs Agatston Score was (0.784 vs 0.701), (0.771 vs. 0.709), (0.789 vs.0.712) and (0.816 vs. 0.729) (p<0.0001 for all), respectively. The category-free Net Reclassification Index of AI-CAC vs. Agatston Score at 1-, 5-, 10-, and 15-year follow up was 0.31, 0.24, 0.29 and 0.29 (p<.0001 for all), respectively. AI-CAC plaque characteristics including number, location, and density of plaque plus number of vessels significantly improved NRI for CAC 1-100 cohort vs. Agatston Score (0.342). In this multi-ethnic longitudinal population study, AI-CAC significantly and consistently improved the prediction of all CVD events over 15 years compared with the Agatston score.
PubMed: 38947043
DOI: 10.21203/rs.3.rs-4433105/v1 -
Diabetes, Metabolic Syndrome and... 2024Non-alcoholic fatty liver disease (NAFLD) is characterized by abnormal lipid metabolism and inflammation. This study aimed to investigate the relationship between...
OBJECTIVE
Non-alcoholic fatty liver disease (NAFLD) is characterized by abnormal lipid metabolism and inflammation. This study aimed to investigate the relationship between neutrophil-HDL cholesterol ratio (NHR) and NAFLD in a healthy population.
METHODS
1881 healthy people who underwent a physical examination from August to December 2023 at the Hebei General Hospital were chosen for this cross-sectional study. 936 individuals were ultimately included thanks to propensity matching and exclusion criteria. Ultrasound was used to diagnose fatty liver and a -test or Mann-Whitney test was used to compare the clinical characteristics of participants between groups with and without fatty liver. Logistic regression was used to construct a new model that included NHR. The predictive value of NHR as well as the new model for NAFLD in a healthy population was assessed using logistic regression and subject work characteristic curves.
RESULTS
NHR levels were higher among participants in the NAFLD group than those without NAFLD(P<0.05). NHR is a risk factor for NAFLD in a healthy population(P<0.05). The odds ratios (ORs) of NHR for predicting NAFLD in Model I (adjusted for sex, age, and BMI) and Model II (adjusted for sex, age, BMI, HbA1c, TC, TG, and ALT) were 1.166 (1.022, 1.331) and 1.248 (1.110, 1.402)(P<0.05). The new model created by logistic regression predicted NAFLD with an area under the curve of 0.676 (0.645, 0.706). Compared to participants in the low NHR group, the high NHR group exhibited a higher prevalence of NAFLD(p<0.05).
CONCLUSION
NHR is associated with NAFLD, which is a good predictor of NAFLD in a healthy population.
PubMed: 38946914
DOI: 10.2147/DMSO.S464406 -
Clinica E Investigacion En... Jun 2024Comprehensive assessment of pharmacotherapy effects on atherogenic parameters (AP) that influence the risk of cardiovascular disease (CVD) is challenging due to...
BACKGROUND AND AIMS
Comprehensive assessment of pharmacotherapy effects on atherogenic parameters (AP) that influence the risk of cardiovascular disease (CVD) is challenging due to interactions among a large number of parameters that modulate CVD risk.
METHODS
We developed an illustrative tool, athero-contour (AC), which incorporates weighted key lipid, lipo- and glycoprotein parameters, to readily illustrate their overall changes following pharmacotherapy. We demonstrate the applicability of AC to assess changes in AP in response to saroglitazar treatment in patients with metabolic associated fatty liver disease (MAFLD) in the EVIDENCES IV study.
RESULTS
The baseline AC of saroglitazar and placebo groups was worse than the mean of the general population. After 16-week treatment, AC improved significantly in the saroglitazar group due to alterations in very low-density lipoprotein, triglyceride, and glycoproteins.
CONCLUSION
Using AC, we could readily and globally evaluate and visualize changes in AP. AC improved in patients with MAFLD following saroglitazar therapy.
PubMed: 38945785
DOI: 10.1016/j.arteri.2024.04.004 -
The Science of the Total Environment Jun 2024The mechanism underlying the effects of livestock grazing on grassland ecosystem traits has been greatly discussed. However, as a common small burrowing mammal on the...
The mechanism underlying the effects of livestock grazing on grassland ecosystem traits has been greatly discussed. However, as a common small burrowing mammal on the Tibetan Plateau grasslands, the plateau pika's (Ochotona curzoniae) influence on alpine grassland ecosystem traits has rarely been investigated, especially beyond the plot scale. In this study, we flew an unmanned aerial vehicle (UAV) over a grassland landscape under grazing and nongrazing treatments. Mounted visible spectral remote sensing, in combination with field surveys, was utilized to explore how livestock and pika grazing modify grassland ecosystem traits at the landscape scale on the Tibetan Plateau (TP). Using object-oriented classification and partial least squares regression, we retrieved the pika burrow distribution and grassland ecosystem traits. Then, the relationships among livestock grazing, pika burrowing and ecosystem traits were evaluated. The results indicated that livestock grazing reduces the alpine meadow community height by 0.13 cm and the species number by 0.25 while increasing the vegetation coverage by 9.69 % and the aboveground biomass (AGB) by 10.07 g/m. A lower statue grassland community with greater coverage caused by livestock grazing promotes pika burrowing. Pika burrow density increases 100/ha per 1.70 % increase in vegetation coverage, a 1.87 g/m increase in AGB or a 0.08 m decrease in community height. Under livestock grazing, both community structure and nutrients are more strongly associated with pika burrow density. The structural equation model demonstrated that livestock grazing regulates pika burrow density by moderating structural value and subsequently affecting nutritional value. Pika burrowing activity explains 40 % of the total variation in nutritional value. Our findings revealed an intrinsic linkage between mammal activities and alpine grassland ecosystems, which can provide guidelines for grassland management through pika population control by adjusting grazing intensity on the TP.
PubMed: 38945235
DOI: 10.1016/j.scitotenv.2024.174356 -
Mymensingh Medical Journal : MMJ Jul 2024Metabolic Syndrome (METS) plays a pivotal role in the development of diabetes mellitus, coronary artery diseases and stroke. Due to the scarcity of data in this issue,...
Metabolic Syndrome (METS) plays a pivotal role in the development of diabetes mellitus, coronary artery diseases and stroke. Due to the scarcity of data in this issue, this study aims to assess the frequency and risk factors association of METS among the hypertensive patients. This cross-sectional study recruited 667 eligible hypertensive patients aged between 20 and 70 years using non-probability purposive sampling method conducted from 1st January 2019 to 30th June 2019. Hypertensive patients with the known history of diabetes, thyroid, renal, cardiac, or hepatic disease, Cushing syndrome or malignancy and secondary causes of obesity, confirmed pregnancy, bed ridden, taking lipid lowering drugs or drugs that affect lipid and glucose metabolism were excluded from the study. METS among the hypertensive patients (DE novo or established hypertensive patients) of this study was demonstrated by NCEP-ATPIII (National Cholesterol Education Program-Adult Treatment Panel III) criteria having two or more of the following points [a) increased waist circumference ≥102cm in men and ≥88cm in women, b) hypertriglyceridemia: ≥150mg/dl, c) reduced High density lipoprotein cholesterol (HDL-C) <40mg/dL (1.04mmol/L) in men and <50mg/dL (1.29mmol/L) in women, d) high fasting blood glucose: 110mg/dl]. Significantly high frequency (69.9%, p<0.001) of METS was found with a significant female preponderance (52.5%, p<0.001) where the mean age of the study population was 48±11 years. Sex (p<0.001), education (p=0.041), occupation (p<0.001), Body mass index (BMI) (p<0.001) and hypertensive status (p=0.002) showed a highly significant role in the development of METS. Following binary logistic regression analysis after adjusting for confounders, the female sex was 17 times higher than the male [Adjusted odd ratio (AOR) =16.96, 95% CI=4.91-58.66, p<0.001)], obesity 4 times higher than non-obese [BMI (obese AOR=4.24, 95% CI=2.55-7.98, p<0.001)], hypertensive status [established hypertension two times higher than de novo (de-novo AOR=0.60, 95% CI=0.037-0.97, p=0.037)] were significant and independent predictors of METS. Significantly high BMI (27.7±4.2 and p<0.001), high waist circumference (60.4%, p<0.001) and hyper tri-glyceridaemia and reduced HDL (46.0%, p<0.001 and 51.3%, p<0.001) were found in the subjects with METS. In conclusion, high frequency of METS among the hypertensive patients was found in Jashore, Bangladesh with significant risk factors related to female sex, education, occupation, BMI and hypertensive status. So, a holistic evaluation of metabolic components among the hypertensive patients may reduce premature cardiovascular morbidity and mortality.
Topics: Humans; Female; Male; Middle Aged; Metabolic Syndrome; Hypertension; Cross-Sectional Studies; Adult; Bangladesh; Risk Factors; Aged; Waist Circumference
PubMed: 38944728
DOI: No ID Found -
Disability and Health Journal Jun 2024Although extreme heat has been found to be disproportionately distributed with respect to socially disadvantaged and marginalized groups, persons with disabilities have...
BACKGROUND
Although extreme heat has been found to be disproportionately distributed with respect to socially disadvantaged and marginalized groups, persons with disabilities have received limited attention in previous research on heat exposure disparities.
OBJECTIVE
This gap is addressed by analyzing the relationship between local heatwave frequency and the percentages of people with a disability and specific disability types in the U.S. South-a region characterized by extremely high summer temperatures and greater disability prevalence.
METHODS
Census tract level values of heatwave annualized frequency from the U.S. Federal Emergency Management Agency's National Risk Index are linked to relevant disability variables from the latest American Community Survey five-year estimates. Statistical analyses are based on bivariate correlations and multivariable generalized estimating equations that consider spatial clustering of tracts based on climate zone and county.
RESULTS
The overall percentage of civilian noninstitutionalized persons with a disability and more than one disability are significantly greater (p < 0.001) in census tracts with higher heatwave frequency, after controlling for clustering, race/ethnicity, socioeconomic status, older age, population density, and metropolitan status. Heatwave frequency is also positively and significantly associated (p < 0.01) with the percentages of people with hearing, vision, cognitive, ambulatory, self-care, and independent living difficulties.
CONCLUSIONS
These heat-related distributive injustices in the U.S. South demonstrate an urgent need to: (1) include disability status in future research on social disparities in heatwave exposure; (2) conduct more detailed investigations in other regions, states, and nations; and (3) develop disability-inclusive policies and interventions that provide equitable protection during extreme weather events.
PubMed: 38944641
DOI: 10.1016/j.dhjo.2024.101665 -
Current Problems in Cardiology Jun 2024This study evaluated the relationship between controlling multiple risk factors and diabetes-related heart failure and all-cause mortality, and the extent to which the... (Review)
Review
BACKGROUND
This study evaluated the relationship between controlling multiple risk factors and diabetes-related heart failure and all-cause mortality, and the extent to which the excess risk can be reduced.
METHODS
17,676 patients with diabetes and 69,493 matched non-diabetic control subjects were included in the Kailuan study, with a median follow-up of 11.19 years. The risk factor control was defined by the attainment of target values for systolic blood pressure, body mass index, low-density lipoprotein cholesterol, fasting blood glucose, high-sensitive C-reactive protein and smoking. Fine-Gray and Cox models were used to estimate associations between the degree of risk factor control and risk of heart failure and all-cause mortality respectively.
RESULTS
Among diabetes patients, there was a gradual reduction in the risk of outcomes as the degree of risk factor control increased. For each additional risk factor that was controlled, there was an associated 16 % decrease in heart failure risk and a 10 % decrease in all-cause mortality risk. Among diabetes patients with ≥5 well-controlled risk factors, the adjusted hazard ratio compared to controls for heart failure and all-cause mortality was 1.25 (95 %CI: 0.99-1.56) and 1.17(95 %CI: 1.05-1.31) respectively. The protective effect of comprehensive risk factor control on the risk of heart failure was more pronounced in men and those using antihypertensive medications.
CONCLUSIONS
Control for multiple risk factors is associated with reduced heart failure and all-cause mortality risks in a cumulative and sex-specific manner. However, despite optimization of risk factor control, diabetes patients still face increased risks compared to the general population.
PubMed: 38944222
DOI: 10.1016/j.cpcardiol.2024.102737 -
Biological Psychiatry Jun 2024Insomnia disorder is the most common sleep disorder. A better understanding of insomnia-related deviations in the brain could inspire better treatment. Insufficiently...
OBJECTIVE
Insomnia disorder is the most common sleep disorder. A better understanding of insomnia-related deviations in the brain could inspire better treatment. Insufficiently recognized heterogeneity within the insomnia population could obscure detection of involved brain circuits. The present study investigated whether structural brain connectivity deviations differ between recently discovered and validated insomnia subtypes.
METHODS
Structural and diffusion weighted 3-Tesla MRI data of four independent studies were harmonized. The sample consisted of 73 controls without sleep complaints and 204 participants with insomnia grouped into five subtypes based on their fingerprint of mood and personality traits assessed with the Insomnia Type Questionnaire. Linear regression correcting for age and sex evaluated group differences in structural connectivity strength, indicated by fractional anisotropy, streamline volume density and mean diffusivity, and evaluated within three different atlases.
RESULTS
Insomnia subtypes showed differentiating profiles of deviating structural connectivity which concentrated in different functional networks. Permutation testing against randomly drawn heterogeneous subsamples indicated significant specificity of deviation profiles in four of the five subtypes: highly distressed, moderately distressed reward sensitive, slightly distressed low reactive and slightly distressed high reactive. Connectivity deviation profile significance ranged from p= 0.001 to p=0.049 for different resolutions of brain parcellation and connectivity weight.
CONCLUSIONS
Our results provide a first indication that different insomnia subtypes exhibit distinct profiles of deviations in structural brain connectivity. Subtyping of insomnia could be essential for a better understanding of brain mechanisms that contribute to insomnia vulnerability.
PubMed: 38944140
DOI: 10.1016/j.biopsych.2024.06.014 -
Thrombosis Research Jun 2024
PubMed: 38944019
DOI: 10.1016/j.thromres.2024.109069 -
The International Journal on Drug Policy Jun 2024Alcohol pricing policies may reduce alcohol-related harms, yet little work has been done to model their effectiveness beyond health outcomes especially in Australia. We...
AIMS
Alcohol pricing policies may reduce alcohol-related harms, yet little work has been done to model their effectiveness beyond health outcomes especially in Australia. We aim to estimate the impacts of four taxation and minimum unit pricing (MUP) interventions on selected social harms across sex and age subgroups in Australia.
METHODS
We used econometrics and epidemiologic simulations using demand elasticity and risk measures. We modelled four policies including (A) uniform excise rates (UER) (based on alcohol units) (B) MUP $1.30 on all alcoholic beverages (C) UER + 10 % (D) MUP$ 1.50. People who consumed alcohol were classified as (a) moderate (≤ 14 Australian standard drinks (SDs) per week) (b) Hazardous (15-42 SDs per week for men and 14-35 ASDs for women) and (c) Harmful (> 42 SDs per week for men and > 35 ASDs for women). Outcomes were sickness absence, sickness presenteeism, unemployment, antisocial behaviours, and police-reported crimes. We used relative risk functions from meta-analysis, cohort study, cross-sectional survey, or attributable fractions from routine criminal records. We applied the potential impact fraction to estimate the reduction in social harms by age group and sex after implementation of pricing policies.
RESULTS
All four modelled pricing policies resulted in a decrease in the overall mean baseline of current alcohol consumption, primarily due to fewer people drinking harmful amounts. These policies also reduced the total number of crimes and workplace harms compared to the current taxation system. These reductions were consistent across all age and sex subgroups. Specifically, sickness absence decreased by 0.2-0.4 %, alcohol-related sickness presenteeism by 7-9 %, unemployment by 0.5-0.7 %, alcohol-related antisocial behaviours by 7.3-11.1 %, and crimes by 4-6 %. Of all the policies, the implementation of a $1.50 MUP resulted in the largest reductions across most outcome measures.
CONCLUSION
Our results highlight that alcohol pricing policies can address the burden of social harms in Australia. However, pricing policies should just form part of a comprehensive alcohol policy approach along with other proven policy measures such as bans on aggressive marketing of alcoholic products and enforcing the restrictions on the availability of alcohol through outlet density regulation or reduced hours of sale to have a more impact on social harms.
PubMed: 38943908
DOI: 10.1016/j.drugpo.2024.104502