Predicting dyslipidemia incidence: unleashing machine learning algorithms on Lifestyle Promotion Project data.

BACKGROUND: Dyslipidemia, characterized by variations in plasma lipid profiles, poses a global health threat linked to millions of deaths annually. OBJECTIVES: This study focuses on predicting dyslipidemia incidence using machine learning methods, addressing the crucial need for early identification and intervention. METHODS: The dataset, derived from the Lifestyle Promotion Project (LPP) in East Azerbaijan Province, Iran, undergoes a comprehensive preprocessing, merging, and null handling process. Target selection involves five distinct dyslipidemia-related variables. Normalization techniques and three feature selection algorithms are applied to enhance predictive modeling. RESULT: The study results underscore the potential of different machine learning algorithms, specifically multi-layer perceptron neural network (MLP), in reaching higher performance metrics such as accuracy, F1 score, sensitivity and specificity, among other machine learning methods. Among other algorithms, Random Forest also showed remarkable accuracies and outperformed K-Nearest Neighbors (KNN) in metrics like precision, recall, and F1 score. The study's emphasis on feature selection detected meaningful patterns among five target variables related to dyslipidemia, indicating fundamental shared unities among dyslipidemia-related factors. Features such as waist circumference, serum vitamin D, blood pressure, sex, age, diabetes, and physical activity related to dyslipidemia. CONCLUSION: These results cooperatively highlight the complex nature of dyslipidemia and its connections with numerous factors, strengthening the importance of applying machine learning methods to understand and predict its incidence precisely.

Aggravating effect of abnormal low-density protein cholesterol level on coronary atherosclerotic plaque in type 2 diabetes mellitus patients assessed by coronary computed tomography angiography.

BACKGROUND: The abnormal low-density protein cholesterol (LDL-C) level in the development of atherosclerosis is often comorbid in individuals with type 2 diabetes mellitus(T2DM). This study aimed to investigate the aggravating effect of abnormal LDL-C levels on coronary artery plaques assessed by coronary computed tomography angiography (CCTA) in T2DM. MATERIALS AND METHODS: This study collected 3439 T2DM patients from September 2011 to February 2022. Comparative analysis of differences in coronary plaque characteristics was performed for the patients between the normal LDL-C level group and the abnormal LDL-C level group. Factors with P < 0.1 in the univariable linear regression analyses were included in the multivariable linear stepwise regression. RESULTS: A total of 2820 eligible T2DM patients were included and identified as the normal LDL-C level group (n = 973) and the abnormal LDL-C level group (n = 1847). Compared with the normal LDL-C level group, both on a per-patient basis and per-segment basis, patients with abnormal LDL-C level showed more calcified plaques, partially calcified plaques, low attenuation plaques, positive remodellings, and spotty calcifications. Multivessel obstructive disease (MVD), nonobstructive stenosis (NOS), obstructive stenosis (OS), plaque involvement degree (PID), segment stenosis score (SSS), and segment involvement scores (SIS) were likely higher in the abnormal LDL-C level group than that in the normal LDL-C level group (P < 0.001). In multivariable linear stepwise regression, the abnormal LDL-C level was validated as an independent positive correlation with high-risk coronary plaques and the degree and extent of stenosis caused by plaques (low attenuation plaque: ß = 0.116; positive remodelling: ß = 0.138; spotty calcification: ß = 0.091; NOS: ß = 0.427; OS: ß = 0.659: SIS: ß = 1.114; SSS: ß = 2.987; PID: ß = 2.716, all P value < 0.001). CONCLUSIONS: Abnormal LDL-C levels aggravate atherosclerotic cardiovascular disease (ASCVD) in patients with T2DM. Clinical attention deserves to be caught by the tailored identification of cardiovascular risk categories in T2DM individuals and the achievement of the corresponding LDL-C treatment goal.

Improving blood pressure and dyslipidemia control by increasing health literacy in Croatia-missions 70/26 & Do you know what is your number.

PURPOSE: In 2022 hypertensive disease was the second cause of death in Croatia. The crude prevalence of hypertension is increasing and still majority of hypertensive patients did not reach blood pressure and cholesterol goals Low awareness, and small number of treated and controlled patients point on poor adherence and even worse clinical inertia. MATERIALS AND METHODS: Croatian Hypertension League (CHL) has started the permanent public health action Hunting the Silent Killer aiming to increase health literacy. In 2023 we decided to intensify program with two missions - '70/26', and 'Do you know what is your number?' aiming to achieve target values in 70% and in 50% of patients treated for hypertension and dyslipidaemia, respectively, by 2026. For the health care workers, the program will primarily involve digital education, and 'School of Communication in Hypertension'. In the second arm of the program, we will advise patients and general population to visit our educational website with important and useful information on how to improve bad lifestyle, how to proper measure blood pressure, why is it important to sustain in taking drugs etc. In 2026, the CHL will organise field research to assess the success of programs using the same methodology as we used in previous EH-UH studies. CONCLUSION: We will monitor and analyse trends in the management and control of patients treated for hypertension and dyslipidaemia. This will enable us to make an evidence-based conclusion how successful we were in increasing health literacy.

Hypertension is the most compelling cause of death in Croatia with increasing prevalence.Still 50.1% of treated hypertensive patients and more than 70% of patients with dyslipidaemia in Croatia are uncontrolled.Programs 70/26 and Do you know your number aimed to achieve 70% and 50% control of hypertensive and dyslipidaemia patients, respectively, by 2026.To accomplish these goals, health literacy of healthcare workers, patients, and general population we will try to improve mostly using digital education and by organising schools of communication.

[Associations between 4 lipid biomarkers and cardiometabolic multimorbidity development in middle aged and old adults in China].

Objective: To estimate the longitudinal association between serum lipid biomarkers and the development of cardiometabolic multimorbidity (CMM) in middle-aged and old adults (≥45) in China, while examining effect differences among degree of dyslipidemia aggregation and various dyslipidemia combination patterns. Methods: Based on data from the China Health and Retirement Longitudinal Study (2011-2018), logistic regression analysis was used to evaluate the associations of TC, LDL-C, HDL-C, TG (4 forms of dyslipidemias), degree and pattern of dyslipidemia combination with CMM. We also used restricted cubic splines to show the dose-response associations between 4 lipid biomarkers and CMM development. Results: Of the 6 522 participants included, 590 (9.05%) developed CMM. After adjusting for covariates, all 4 forms of dyslipidemias were positively associated with CMM development (high TC: OR=1.33, 95%CI: 1.03-1.71; high LDL-C: OR=1.35, 95%CI: 1.05-1.75; low HDL-C: OR=1.45, 95%CI: 1.19-1.77; high TG: OR=1.50, 95%CI: 1.20-1.88). The U-shaped dose-response relationship between LDL-C and CMM development was observed (P for non-linear =0.022). The odds of CMM increased with the increase of dyslipidemias forms, which was highest in those with ≥3 forms of dyslipidemias (OR=2.02, 95%CI: 1.33-3.06). In various dyslipidemia form combinations, the possibility of CMM development was highest in those with high TC, high LDL-C and low HDL-C (OR=3.54, 95%CI: 1.40-8.67). High TC and high LDL-C were significantly associated with CMM development in people without cardiometabolic diseases. Low HDL-C was positively associated with diabetes and CMM development in participants without cardiometabolic diseases, cardiovascular disease (CVD) followed by diabetes, and diabetes followed by CVD. High TG was positively associated with diabetes and CMM in participants without cardiometabolic diseases, and diabetes followed by CVD. Conclusions: A total of 4 forms of dyslipidemia were all independently associated with CMM development in middle-aged and old adults in China. The dose-response relationship between LDL-C level and CMM development was U-shaped. The aggregation of 4 forms of dyslipidemia were associated with the development of CMM. Low HDL-C and high TG were significantly associated with multiple patterns of cardiometabolic diseases development.

[Association between diabetes prevalence and mortality risk in the elderly aged 60 years and above in Liaoning Province, 2017-2019].

Objective: To investigate the prevalence of diabetes in the elderly aged ≥60 years in Liaoning Province from 2017 to 2019 and analyze the impact of blood glucose control on all-cause mortality and cardiovascular disease (CVD) mortality. Methods: A survey was conducted in the elderly aged ≥60 years in Liaoning from 2017 to 2019 to collect the information about the prevalence of diabetes and other chronic diseases in the diabetes patients. The mortality of the enrolled subjects was investigated in September 2023. Cox proportional hazards regression models were used to estimate the association between blood glucose control in the elderly with diabetes and the risks of all-cause mortality and CVD mortality. Results: The crude prevalence of diabetes in the elderly aged ≥60 years was 20.2% (2 014/9 958) in Liaoning from 2017 to 2019, and the standardized prevalence rate was 19.9%. The prevalence rates of hypertension, dyslipidemia, and overweight/obesity in the diabetes patients were 77.0%, 51.7%, and 67.5% respectively. The median follow-up time was 5.5 years, and the all-cause mortality and CVD mortality rates in the diabetes patients were 244.3/10 000 person-years and 142.9/10 000 person-years, respectively. The results of the Cox proportional hazards regression model analysis showed that compared with non-diabetic individuals, diabetes patients had an increased risk of all-cause mortality by 1.68 times [hazard ratio (HR)=1.68, 95%CI: 1.44-1.94] and an increased risk of CVD mortality by 1.56 times (HR=1.56, 95%CI: 1.29-1.89). The differences in risks of all-cause mortality and CVD mortality between the diabetes patients with normal fasting blood glucose and glycated hemoglobin levels and people without diabetes were not significant (all P>0.05). The failure to meet either the FPG or HbA1c target increased the risk of all-cause mortality (all P<0.05). For individuals who failed to meet the HbA1c target, there was an increased risk of CVD mortality (all P<0.05). Conclusions: The comorbidity rate of chronic diseases was higher in the elderly with diabetes than in the elderly without diabetes in Liaoning. Elderly diabetes patients can benefit from good blood glucose control.

Systemic immune-inflammation index and its relation to blood pressure and dyslipidemia in adults: A retrospective study.

High blood pressure (BP) and dyslipidemia are major risk factors for cardiovascular disease mortality. The systemic immune-inflammation index (SII) has been suggested as a predictive tool to identify those at risk for chronic diseases, however, its use for predicting high BP and dyslipidemia has not been thoroughly investigated. This study aimed to examine the association between SII and high BP as well as lipid markers. Retrospective hospital data from a large cohort (n = 3895) of Saudi adults aged ≥18 years were analyzed. Lipid markers (cholesterol, high-density lipoprotein, low-density lipoprotein [LDL]), systolic BP, and diastolic BP measures were extracted. When the sample was divided into quartiles of SII, cholesterol, triglycerides, and LDL were higher in those with a higher SII than in those with a lower SII (P < .01). After adjusting for potential confounders, higher SII was significantly associated with higher odds of hypertension (odds ratio: 1.12, 95% confidence interval: 1.04-1.21) and elevated LDL (odds ratio: 1.07, 95% CI: 1.02-1.14), but not with elevated cholesterol. Across quartiles of SII, there was a significant trend between higher SII and the odds of hypertension in people with diabetes and those aged ≥65 years. The SII could be an economical predictive measure for identifying individuals at risk of hypertension and some aspects of dyslipidemia. Longitudinal studies are needed to confirm this relationship.

Diabetic dyslipidemia and its predictors among people with diabetes in Ethiopia: systematic review and meta-analysis.

BACKGROUND: Dyslipidemia is an imbalance of lipid profiles. It increases the chance of clogged arteries and may cause heart attacks, strokes, and other circulatory disorders. Dyslipidemia affects the general population, but its severity is higher in diabetic populations. As a result, the chance of dyslipidemia-associated morbidity and mortality is highest in diabetic patients. In Ethiopia, around 2 to 6.5% of the population live with diabetes, but their lipid profiles are inconsistent across the studies. Therefore, this study aimed to estimate the pooled prevalence of diabetic dyslipidemia and its predictors among people with diabetes in Ethiopia. METHOD: A systematic review and meta-analysis was conducted. The searches were carried out in MEDLINE via PubMed and OVID, EBSCO, Embase, and other supplementary gateways such as Google and Google Scholar, for articles published up to June 2023. The articles were searched and screened by title (ti), abstract (ab), and full text (ft). The quality of the eligible studies was assessed by the Newcastle-Ottawa scale. The heterogeneity was detected by the Cochrane Q statistic test and the I-squared (I2) test. Then subgroup analysis and meta-regression analysis were used to identify the source of the variations. A random or fixed-effect meta-analysis model was used to estimate the overall pooled prevalence and average effects. The publication bias was assessed by the funnel plot asymmetry test and/or Begg and Mazumdar's test for rank correlation (p-value < 0.05). The protocol has been registered in an international database, the prospective register of systematic reviews (PROSPERO), with reference number CRD42023441572. RESULT: A total of 14 articles with 3662 participants were included in this review. The pooled prevalence of diabetic dyslipidemia in Ethiopia was found to be 65.7% (95% confidence interval (CI): 57.5, 73.9), I2 = 97%, and p-value < 0.001. The overall prevalence of triglycerides (TG) and high-density lipoprotein cholesterol (HDL-c) were found to be 51.8% (95% CI: 45.1, 58.6) and 44.2% (95% CI: 32.8, 55.7), respectively, among lipid profiles. In meta-regression analysis, the sample size (p value = 0.01) is the covariate for the variation of the included studies. Being female (adjusted odds ratio (AOR): 3.9, 95% CI: 1.5, 10.1), physical inactivity (AOR: 2.6, 95% CI: 1.5, 4.3), and uncontrolled blood glucose (AOR: 4.2, 95% CI: 1.9, 9.4) were found to be the determinants of dyslipidemia among diabetic patients. CONCLUSION: This review revealed that the prevalence of diabetic dyslipidemia is high among people with diabetes in Ethiopia. Being female, having physical inactivity, and having uncontrolled blood glucose were found to be predictors of dyslipidemia among people with diabetes. Therefore, regular screening of lipid profiles and the provision of lipid-lowering agents should be strengthened to reduce life-threatening cardiovascular complications. Furthermore, interventions based on lifestyle modifications, such as regular physical activity and adequate blood glucose control, need to be encouraged.

Apolipoprotein E E3/E4 genotype is associated with an increased risk of premature coronary artery disease.

OBJECTIVE: Dyslipidemia is one of the causes of coronary heart disease (CAD), and apolipoprotein E (APOE) gene polymorphism affects lipid levels. However, the relationship between APOE gene polymorphisms and premature CAD (PCAD, male CAD patients with ≤ 55 years old and female with ≤ 65 years old) risk had different results in different studies. The aim of this study was to assess this relationship and to further evaluate the relationship between APOE gene polymorphisms and PCAD risk in the Hakka population. METHODS: This study retrospectively analyzed 301 PCAD patients and 402 age matched controls without CAD. The APOE rs429358 and rs7412 polymorphisms were genotyped by polymerase chain reaction (PCR) -chip technique. The distribution of APOE genotypes and alleles between the case group and the control group was compared. The relationship between APOE genotypes and PCAD risk was obtained by logistic regression analysis. RESULTS: The frequency of the APOE ɛ3/ɛ4 genotype (18.9% vs. 10.2%, p = 0.001) and ε4 allele (11.1% vs. 7.0%, p = 0.007) was higher in the PCAD patients than that in controls, respectively. PCAD patients with ɛ2 allele had higher TG level than those with ɛ3 allele, and controls carried ɛ2 allele had higher HDL-C level and lower LDL-C level than those carried ɛ3 allele. Regression logistic analysis showed that BMI ≥ 24.0 kg/m2 (BMI ≥ 24.0 kg/m2 vs. BMI 18.5-23.9 kg/m2, OR: 1.763, 95% CI: 1.235-2.516, p = 0.002), history of smoking (Yes vs. No, OR: 5.098, 95% CI: 2.910-8.930, p < 0.001), ɛ3/ɛ4 genotype (ɛ3/ɛ4 vs. ɛ3/ɛ3, OR: 2.203, 95% CI: 1.363-3.559, p = 0.001), ε4 allele (ε4 vs. ε3, OR: 2.125, 95% CI: 1.333-3.389, p = 0.002), and TC level (OR: 1.397, 95% CI: 1.023-1.910, p = 0.036) were associated with PCAD. CONCLUSIONS: In summary, BMI ≥ 24.0 kg/m2, history of smoking, APOE ɛ3/ɛ4 genotype, and TC level were independent risk factors for PCAD. It means that young individuals who are overweight, have a history of smoking, and carried APOE ɛ3/ɛ4 genotype had increased risk of PCAD.

Coexistence of Standard Modifiable, Other Classical, and Novel and Classical Atherosclerotic Cardiovascular Disease Risk Factors in Middle Eastern Young Women.

Background: The coexistence of multiple standard modifiable risk factors (SMuRFs),classical and novel risk factors (RFs) for atherosclerotic cardiovascular disease (ASCVD) is common in the Middle East (ME). There is a paucity of data on the coexistence of these RFs in ME young women. Aim: Comparing the prevalence and the statistical patterns of the SMuRFs, classical and novel RFs in target population. Methods: In this case-control (1:2) study, consecutive young women aged 18-50 years were enrolled in 12 centers (July 2021 to October 2023). Prevalence and coexistence of 19 RFs were compared between cases with ASCVD and their controls. The RFs included SMuRFs (hypertension, type 2 diabetes, dyslipidemia, and cigarette smoking), other classical RF (obesity, family history of premature ASCVD, and physical inactivity), novel RFs and social determinants of health (health insurance, place of residence, depression, and level of education). Results: The study included 627 subjects; 209 had ASCVD (median age 46 years, IQR 49-42 years) and 418 controls (median age 45 years, IQR 48-41 years). The presence of 1-2 RFs; (ASCVD: 63.2%, Control: 54.1%, p=0.037) and 3-4 RFs; (ASCVD: 27.8%, Control: 3.3%, p < 0.001) SMuRFs was more prevalent in women with ASCVD. Similarly, the presence of 4-5 RFs; (ASCVD: 40.7%, Control: 14.6%, p<0.001), and 6-7 (ASCVD: 10.5%, Control: 1%, p < 0.001). The classical RF were also significantly common in these women. The distribution of multiple novel RF was not statistically significant across both groups. Finally, regarding the socioeconomic RFs in women with ASCVDs, the presence of 1-2 RFs (ASCVD: 59.8%, Control: 76.1%, p < 0.001) was significantly less common while the presence of 3-4 RFs (ASCVD: 39.2%, Control: 21.8%, p < 0.001) was vastly more common. Conclusion: An elevated rate of coexistence of classical RF in the case group, mainly socioeconomic and SMuRFs. By managing them primary and secondary ASCVDs prevention attained.

Impaired GK-GKRP interaction rather than direct GK activation worsens lipid profiles and contributes to long-term complications: a Mendelian randomization study.

BACKGROUND: Glucokinase (GK) plays a key role in glucose metabolism. In the liver, GK is regulated by GK regulatory protein (GKRP) with nuclear sequestration at low plasma glucose level. Some GK activators (GKAs) disrupt GK-GKRP interaction which increases hepatic cytoplasmic GK level. Excess hepatic GK activity may exceed the capacity of glycogen synthesis with excess triglyceride formation. It remains uncertain whether hypertriglyceridemia associated with some GKAs in previous clinical trials was due to direct GK activation or impaired GK-GKRP interaction. METHODS: Using publicly available genome-wide association study summary statistics, we selected independent genetic variants of GCKR and GCK associated with fasting plasma glucose (FPG) as instrumental variables, to mimic the effects of impaired GK-GKRP interaction and direct GK activation, respectively. We applied two-sample Mendelian Randomization (MR) framework to assess their causal associations with lipid-related traits, risks of metabolic dysfunction-associated steatotic liver disease (MASLD) and cardiovascular diseases. We verified these findings in one-sample MR analysis using individual-level statistics from the Hong Kong Diabetes Register (HKDR). RESULTS: Genetically-proxied impaired GK-GKRP interaction increased plasma triglycerides, low-density lipoprotein cholesterol and apolipoprotein B levels with increased odds ratio (OR) of 14.6 (95% CI 4.57-46.4) per 1 mmol/L lower FPG for MASLD and OR of 2.92 (95% CI 1.78-4.81) for coronary artery disease (CAD). Genetically-proxied GK activation was associated with decreased risk of CAD (OR 0.69, 95% CI 0.54-0.88) and not with dyslipidemia. One-sample MR validation in HKDR showed consistent results. CONCLUSIONS: Impaired GK-GKRP interaction, rather than direct GK activation, may worsen lipid profiles and increase risks of MASLD and CAD. Development of future GKAs should avoid interfering with GK-GKRP interaction.

Correlation between peripheral immature platelet level and coronary immature platelet levels in coronary artery disease: an observational study in cardiac referral centre in East Java, Indonesia.

OBJECTIVE: To investigate the correlation between peripheral and coronary immature platelet, and factors that may predict coronary immature platelet levels. METHODS: The cross-sectional, observational, analytical study was conducted at the Cardiovascular Diagnostic and Intervention Centre of Dr Soetomo General Academic Hospital, Surabaya, Indonesia, from November 2017 to January 2018, and comprised patients of either gender with coronary artery disease. Peripheral and coronary blood samples were retrieved during coronary catheterisation. Immature platelet fraction was acquired by examining whole blood samples analysed through automated flow cytometry. Relationship between peripheral and coronary immature platelet fractions and counts were analysed using parametric correlation test, followed by linear regression analysis model of variables that influenced coronary immature platelet fraction. The statistical analysis was carried out using SPSS Statistics for Windows, Version 25.0 (IBM Corp, Armonk, NY, USA). RESULTS: Of the 70 patients, 55(78.6%) were males and 15(21.4%) were females. The overall mean age was 57±5.32 years. There were 35(50%) patients with a history of smoking, and 34(48.6%) had hypertension and dyslipidaemia. Mean peripheral immature platelet fraction was 3.86±1.84% and mean coronary immature platelet fraction was 3.63±1.7%. There was a robust positive and significant correlation (r=0.882; p<0.001) between immature platelet levels in peripheral and coronary blood. Peripheral immature platelet and glycated haemoglobin >7.5 were independent predictors of coronary immature platelet (p=0.001). CONCLUSIONS: There was a strong correlation between immature platelet levels in peripheral and coronary blood.

[Associations between puberty timing and cardiovascular metabolic risk factors among primary and secondary students].

OBJECTIVE: To explore the relationship between puberty timing and cardiovascular metabolic risk factors among primary and secondary students with different genders in Beijing. METHODS: Using the method of stratified cluster sampling by urban and rural areas and school sections, 3 067 students from 16 primary and secondary schools in Fangshan District of Beijing were selected in October 2012, with questionnaire survey, physical examination and serum laboratory testing. In this study, we controlled for confounding factors such as school segments, current residence of the family, birth weight, feeding method, only child, highest educational level of parents, and monthly family income, and then the associations between cardiovascular metabolic risk factors and puberty timing among the primary and secondary students was analyzed by multivariate Logistic analysis. To ensure the reliability of the data, this study adopted strict quality control. RESULTS: A total of 3 067 primary and middle school students aged 7 to 16 years were included in this study, including 1 575 boys and 1 492 girls. The prevalence of premature puberty was 14.73% among the boys and 12.89% among the girls, respectively. The prevalence of delayed puberty was 9.49% among the boys and 10.99% among the girls, respectively. The detection rates of central obesity, hypertension, hyperglycemia, and dyslipidemia among the primary and secondary students were 35.87%, 19.95%, 2.54% and 26.31%, respectively. The detection rates of 1 risk factor clustering, 2 risk factors clustering and more than 3 risk factors clustering were 29.21%, 16.17% and 9.36%, respectively. The difference in the detection rate of cardiovascular and metabolic risk factors in different youth stages was insignificant (P>0.05), the detection rate of risk factor aggregation of 0 was lower than that of the timely group and delayed group, and the detection rate of risk factors aggregation of 2 was higher than that of the timely group (P < 0.05).After adjusting the effects of learning stage, region, birth weight, feeding patterns, one-child, family income and the parents' educational levels, multivariate Logistic regression analysis showed that, compared with the on-time puberty group, the risk of 1 risk factor clustering, 2 risk factors clustering and more than 3 risk factors clustering increased by 1.94 times (95% CI=1.29-2.91), 2.97 times (95% CI=1.89-4.67) and 2.02 times (95% CI= 1.13-3.63) among the girls; It had not been found that the relationship between puberty timing and cardiovascular risk factor clustering among the boys (P>0.05). CONCLUSION: Premature puberty is an independent risk factor for the clustering of cardiometabolic risk factors in girls, and primary prevention strategies should be implemented to reduce the burden of cardiovascular metabolic diseases in the population.

Genetic Architecture and Clinical Outcomes of Combined Lipid Disturbances.

BACKGROUND: Dyslipoproteinemia often involves simultaneous derangements of multiple lipid traits. We aimed to evaluate the phenotypic and genetic characteristics of combined lipid disturbances in a general population-based cohort. METHODS: Among UK Biobank participants without prevalent coronary artery disease, we used blood lipid and apolipoprotein B concentrations to ascribe individuals into 1 of 6 reproducible and mutually exclusive dyslipoproteinemia subtypes. Incident coronary artery disease risk was estimated for each subtype using Cox proportional hazards models. Phenome-wide analyses and genome-wide association studies were performed for each subtype, followed by in silico causal gene prioritization and heritability analyses. Additionally, the prevalence of disruptive variants in causal genes for Mendelian lipid disorders was assessed using whole-exome sequence data. RESULTS: Among 450 636 UK Biobank participants: 63 (0.01%) had chylomicronemia; 40 005 (8.9%) had hypercholesterolemia; 94 785 (21.0%) had combined hyperlipidemia; 13 998 (3.1%) had remnant hypercholesterolemia; 110 389 (24.5%) had hypertriglyceridemia; and 49 (0.01%) had mixed hypertriglyceridemia and hypercholesterolemia. Over a median (interquartile range) follow-up of 11.1 (10.4-11.8) years, incident coronary artery disease risk varied across subtypes, with combined hyperlipidemia exhibiting the largest hazard (hazard ratio, 1.92 [95% CI, 1.84-2.01]; P=2×10-16), even when accounting for non-HDL-C (hazard ratio, 1.45 [95% CI, 1.30-1.60]; P=2.6×10-12). Genome-wide association studies revealed 250 loci significantly associated with dyslipoproteinemia subtypes, of which 72 (28.8%) were not detected in prior single lipid trait genome-wide association studies. Mendelian lipid variant carriers were rare (2.0%) among individuals with dyslipoproteinemia, but polygenic heritability was high, ranging from 23% for remnant hypercholesterolemia to 54% for combined hyperlipidemia. CONCLUSIONS: Simultaneous assessment of multiple lipid derangements revealed nuanced differences in coronary artery disease risk and genetic architectures across dyslipoproteinemia subtypes. These findings highlight the importance of looking beyond single lipid traits to better understand combined lipid and lipoprotein phenotypes and implications for disease risk.

Impaired thyroid hormone sensitivity exacerbates the effect of PM2.5 and its components on dyslipidemia in schizophrenia.

BACKGROUND: Dyslipidemia in schizophrenia causes a serious loss of healthy life expectancy, making it imperative to explore key environmental risk factors. We aimed to assess the effect of PM2.5 and its constituents on dyslipidemia in schizophrenia, identify the critical hazardous components, and investigate the role of impaired thyroid hormones (THs) sensitivity in this association. METHODS: We collected disease data on schizophrenia from the Anhui Mental Health Center from 2019 to 2022. Logistic regression was constructed to explore the effect of average annual exposure to PM2.5 and its components [black carbon (BC), organic matter (OM), sulfate (SO42-), ammonium (NH4+), and nitrate (NO3-)] on dyslipidemia, with subgroup analyses for age and gender. The degree of impaired THs sensitivity in participants was reflected by the Thyroid Feedback Quantile-based Index (TFQI), and its role in the association of PM2.5 components with dyslipidemia was explored. RESULTS: A total of 5125 patients with schizophrenia were included in this study. Exposure to PM2.5 and its components (BC, OM, SO42-, NH4+, and NO3-) were associated with dyslipidemia with the odds ratios and 95 % confidence interval of 1.13 (1.04, 1.23), 1.16 (1.07, 1.26), 1.15 (1.06, 1.25), 1.11 (1.03, 1.20), 1.09 (1.00, 1.18), 1.12 (1.04, 1.20), respectively. Mixed exposure modeling indicated that BC played a major role in the effects of the mixture. More significant associations were observed in males and groups <45 years. In addition, we found that the effect of PM2.5 and its components on dyslipidemia was exacerbated as impaired THs sensitivity in the patients. CONCLUSIONS: Exposure to PM2.5 and its components is associated with an increased risk of dyslipidemia in schizophrenia, which may be exacerbated by impaired THs sensitivity. Our results suggest a new perspective for the management of ambient particulate pollution and the protection of thyroid function in schizophrenia.

The rising prevalence of type 2 diabetes among the youth in southern India-An ancillary analysis of the Secular TRends in DiabEtes in India (STRiDE-I) study.

BACKGROUND: We studied the prevalence and incidence of type 2 diabetes (T2DM) and its associated risk factors in younger (20 and 39 years) and older individuals (≥40 years) over a 10-year period. METHODS: Epidemiological surveys in 2006 (n = 7066) and 2016 (n = 9848) were conducted in similar urban and rural locations of southern India among people aged ≥20 years. Diagnosis of T2DM was made using World Health Organization criteria. Self-reported diabetes was verified from medical records. Age and gender standardized prevalence and incidence rates, percentage change in obesity, hypertension, and dyslipidemia were calculated. Prevalence ratios (PR) were calculated using Poisson regression analyses. Primary study was registered on www. CLINICALTRIALS: gov. Identifier: NCT03490136. RESULTS: In 10 years, the prevalence of T2DM increased in younger (7.8% vs. 4.5%, p < 0.0001) and older individuals (34% vs. 28.4%, p < 0.0001). After adjusting for age, family history of diabetes, and waist circumference, younger individuals showed a higher percentage increase in prevalence than the older group (PR = 1.36 [95% confidence interval [CI], 1.14-1.62], p = 0.001) versus (PR = 1.11 [95% CI, 1.02-1.20], p = 0.02). Increase in rates of obesity and dyslipidemia was also higher in the younger than in the older individuals. In 10 years, incidence of T2DM increased by 120% (1.1% vs. 0.5%, p < 0.0001) and 150% (5% vs. 2%, p < 0.0001) in the younger and older individuals, respectively. CONCLUSIONS: Higher percentage increase in prevalence of T2DM was seen among younger individuals over a 10-year period. Obesity and family history of diabetes were shown to be the primary contributing factors for the rise in prevalence.

Metabolic effects and cardiovascular disease risks of antiviral treatments in patients with chronic hepatitis B.

Different antiviral treatments for chronic hepatitis B (CHB) have been known to have different metabolic effects. This study aimed to reveal whether tenofovir alafenamide (TAF)-induced dyslipidemia and its associated outcomes are significant. This study utilized 15-year historical cohort including patients with CHB in Korea and consisted of two parts: the single-antiviral and switch-antiviral cohorts. In the single-antiviral cohort, patients were divided into four groups (entecavir [ETV]-only, tenofovir disoproxil fumarate [TDF]-only, TAF-only, and non-antiviral). Propensity score matching (PSM) and linear regression model were sequentially applied to compare metabolic profiles and estimated atherosclerotic cardiovascular disease (ASCVD) risks longitudinally. In the switch-antiviral cohort, pairwise analyses were conducted in patients who switched NAs to TAF or from TAF. In the single-antiviral cohort, body weight and statin use showed significant differences between groups before PSM, but well-balanced after PSM. Changes in total cholesterol were significantly different between groups (-2.57 mg/dL/year in the TDF-only group and +2.88 mg/dL/year in the TAF-only group; p = 0.002 and p = 0.02, respectively). In the TDF-only group, HDL cholesterol decreased as well (-0.55 mg/dL/year; p < 0.001). The TAF-only group had the greatest increase in ASCVD risk, followed by the TDF-only group and the non-antiviral group. In the switch-antiviral cohort, patients who switched from TDF to TAF had a higher total cholesterol after switching (+9.4 mg/dL/year) than before switching (-1.0 mg/dL/year; p = 0.047). Sensitivity analysis on data with an observation period set to a maximum of 3 years for NA treatment showed consistent results on total cholesterol (-2.96 mg/dL/year in the TDF-only group and +3.09 mg/dL/year in the TAF-only group; p = 0.001 and p = 0.005, respectively). Another sensitivity analysis conducted on statin-treated patients revealed no significant change in cholesterol and ASCVD risk. TAF was associated with increased total cholesterol, whereas TDF was associated with decreased total and HDL cholesterol. Both TAF and TDF were associated with increased ASCVD risks, and statin use might mitigate these risks.

The association of cumulative low-density lipoprotein cholesterol exposure and carotid intima-media thickness in a young adulthood population.

OBJECTIVE: To investigate the association between cumulative exposure to low-density lipoprotein cholesterol (LDL-C) and carotid intima-media thickness (IMT) in the young adulthood population. METHODS: Young adult subject (18-45 year old) from the Kailuan Study group who participated in the same period of follow-up and received carotid artery ultrasound were selected as the observation subjects. Among them, 3651 cases met the inclusion criteria, which required that carotid artery color ultrasound examinations be completed from 2010 to 2016, with complete IMT measurements, LDL-C data collected at least twice before carotid ultrasound, and participants' age to be ≤ 45 years at the time of carotid artery color ultrasound examination. Linear regression was used to analyze the correlation between time-weighted average (TWA) to LDL-C cumulative exposure and IMT the young population. Logistic regression was used to analyze the effects of different TWA groups on IMT thickening. Considering that the use of anti hypertensive drugs and lipid-lowering drugs may affect TWA LDL-C, this study excluded people taking antihypertensive drugs and lipid-lowering drugs, and conducted a repeat analysis of the main results. RESULTS: There was a positive correlation between TWA LDL-C and IMT, with IMT increasing by 0.017 mm when TWA LDL-C increased by 1 mmol/L * year. The TWA LDL-C in the highest group was identified as a risk factor for IMT thickening, with odds ratio (OR) values of 1.812(1.027 ~ 3.200) in the T3 group. After excluding patients taking antihypertensive drugs and lipid-lowering drugs, the results still showed that the T3 group with the highest TWA LDL-C was a risk factor for IMT thickening, with an OR value of 1.850(0.988-3.464), P for trend is 0.043. CONCLUSION: This cohort study revealed that TWA LDL-C is positively correlated with IMT in young adulthood for risk stratification, and control LDL-C levels at an earlier age may reduce the lifetime risk of developing atherosclerotic disease. TRIAL REGISTRATION: ChiCTR-TNC-11001489.

Serum Lipid Profile and Its Association with Newly Diagnosed Hypertensive Patients in Bangladesh.

Clustering of hypertension, dyslipidemia, and other metabolic abnormalities is increasing the burden of non-communicable diseases, especially cardiovascular disease. The objective of this study was to explore the pattern of lipid profiles in newly diagnosed hypertensive patients attending Shaheed Mansur Ali Medical College, Dhaka, Bangladesh from August 2020 to December 2020. A total of 59 newly diagnosed hypertensive patients were studied through a cross-sectional approach. Prior to the study, ethical clearance was ensured, and informed written consent was obtained. A pre-structured questionnaire was used for data collection. Collected data were analyzed using SPSS 24.0 version. Slight male preponderance (54.2%) was observed along with an average age of 45 years among studied patients. Raised levels of total cholesterol (TC), triglyceride (TG), and low-density lipoprotein (LDL) were observed in 91.5%, 98.3%, and 88.1% of patients accordingly. Low level of high-density lipoprotein (HDL) was observed in 47.5% of the patients. Mean TC, TG, LDL, HDL were 286.11±347.37, 311.74±122.76, 163.27±33.67 and 38.29±6.66 mg/dl, respectively. Almost all patients were obese. There is no correlation between the serum lipid profile and blood pressure of the patients. Dyslipidemia was highly prevalent among newly diagnosed hypertensive patients.

Correlation of Body Mass Index with Serum Lipid Profile Level in Adolescent Students of Bangladesh.

Obesity is associated with metabolic disorders such as dyslipidaemia, diabetes mellitus (DM), hypertension (HTN) and cardiovascular disease (CVD). There has been rising burden of childhood and adolescent obesity in most developing countries in recent years. Changes in dietary habits, junk and fast food, physical inactivity and smoking habits increases among adolescent students, which causes obesity and simultaneously increases risk of metabolic diseases. The objective of the study is to determine the correlation between Body Mass Index (BMI) and lipid profile among adolescent students of Bangladesh. This cross-sectional observational study was conducted among 79 undergraduate healthy adolescent students, aged 10-18 years who were selected through purposive sampling. The study was conducted from July 2022 to June 2023 in urban and rural areas of Dhaka, Narayanganj and Rangpur. Data was collected using a semi-structured questionnaire. Correlation of dyslipidemia and BMI was analyzed by Pearson Coefficient. Data was analyzed using SPSS version 22.0 with level of statistical significance at p<0.05. Mean age of the respondents was 14.9±4.5 years. Male and female ratio was 2.16:1. Among respondents, 46.8% had BMI 18.5-23.0 (normal), 31.6% had BMI 23.1-25.0 (overweight) and 21.5% had BMI >25.0 (obese). Prevalence of dyslipidaemia was 34.1%. Overweight and obese respondents had raised total cholesterol (TC) level 209.51±48.6 mg/dl and 218.36±80.0 mg/dl respectively. Mean high density lipoprotein (HDL) cholesterol level was 38.91±10.51 mg/dl in overweight and 36.54±10.04 mg/dl in obese. Mean low density lipoprotein (LDL) cholesterol level was 135.23±44.5 mg/dl in overweight and 143.61±56.0 mg/dl in obese. Among obese cases, 94.1% respondents had borderline triglyceride (TG) with mean 164.46±111.0 mg/dl. Among the study respondents, overweight and obesity (higher BMI) tend to have abnormal lipid profile. It is recommended that assessment of BMI should be incorporated into school health programme and those with overweight and obesity should be subjected to routine lipogram in order to apply timely preventive as well as therapeutic measures to save lives.

Association between atherogenic index of plasma and new-onset stroke in individuals with different glucose metabolism status: insights from CHARLS.

BACKGROUND: Circulating atherogenic index of plasma (AIP) levels has been proposed as a novel biomarker for dyslipidemia and as a predictor of insulin resistance (IR) risk. However, the association between AIP and the incidence of new-onset stroke, particularly in individuals with varying glucose metabolism status, remains ambiguous. METHODS: A total of 8727 participants aged 45 years or older without a history of stroke from the China Health and Retirement Longitudinal Study (CHARLS) were included in this study. The AIP was calculated using the formula log [Triglyceride (mg/dL) / High-density lipoprotein cholesterol (mg/dL)]. Participants were divided into four groups based on their baseline AIP levels: Q1 (AIP ≤ 0.122), Q2 (0.122 < AIP ≤ 0.329), Q3 (0.329 < AIP ≤ 0.562), and Q4 (AIP > 0.562). The primary endpoint was the occurrence of new-onset stroke events. The Kaplan-Meier curves, multivariate Cox proportional hazard models, and Restricted cubic spline analysis were applied to explore the association between baseline AIP levels and the risk of developing a stroke among individuals with varying glycemic metabolic states. RESULTS: During an average follow-up of 8.72 years, 734 participants (8.4%) had a first stroke event. The risk for stroke increased with each increasing quartile of baseline AIP levels. Kaplan-Meier curve analysis revealed a significant difference in stroke occurrence among the AIP groups in all participants, as well as in those with prediabetes mellitus (Pre-DM) and diabetes mellitus (DM) (all P values < 0.05). After adjusting for potential confounders, the risk of stroke was significantly higher in the Q2, Q3, and Q4 groups than in the Q1 group in all participants. The respective hazard ratios (95% confidence interval) for stroke in the Q2, Q3, and Q4 groups were 1.34 (1.05-1.71), 1.52 (1.19-1.93), and 1.84 (1.45-2.34). Furthermore, high levels of AIP were found to be linked to an increased risk of stroke in both pre-diabetic and diabetic participants across all three Cox models. However, this association was not observed in participants with normal glucose regulation (NGR) (p > 0.05). Restricted cubic spline analysis also demonstrated that higher baseline AIP levels were associated with higher hazard ratios for stroke in all participants and those with glucose metabolism disorders. CONCLUSIONS: An increase in baseline AIP levels was significantly associated with the risk of stroke in middle-aged and elderly individuals, and exhibited distinct characteristics depending on the individual's glucose metabolism status.