HDL Cholesterol Research Articles

Metabolic Syndrome Severity Score in Subjects with and without Poly Cystic Ovarian Syndrome

Objective: To compare polycystic ovarian syndrome and their defining criteria with metabolic syndrome severity score among females with and without polycystic ovarian syndrome. Study Design: Comparative cross-sectional study. Place and Duration of Study: Naval Hospital Islamabad, from Jan 2018 to Dec 2021. Methodology: We evaluated 293 female subjects for Poly Cystic Ovarian Syndrome after several exclusions who presented with an initial complaint of disturbances in menstrual cycles. These subjects underwent clinical examination including blood pressure and anthropometric indices and measurements of modified Ferriman Gallway score. Biochemical measurements included fasting plasma glucose, HDL cholesterol, triglycerides and insulin measurement. These parameters were measured for various components included in defining the Poly Cystic Ovarian Syndrome as per Rotterdam criteria and Metabolic Syndrome Severity Score equation to compare metabolic syndrome severity and insulin resistance among subjects with Poly Cystic Ovarian Syndrome and without Poly Cystic Ovarian Syndrome. Results: Mean age among participants were 29.46±6.74 years. Disturbances in menstrual cycle reporting oligo/anovulation was reported by (181/293) 61.8% in comparison to (112/293) 38.2%. Hirsutism (modified Ferriman Gallway score>8) was present in (142/293) 48.5%. Radiological findings pointing towards Poly Cystic Ovarian Syndrome diagnosis were found in (72/293) 24.6%. Metabolic Syndrome Severity Score showed higher correlation with age, and insulin resistance in contrast to hirsutism and free androgen indices. Hirsutism was higher among oligo/anovulation females than participants without menstrual complaints (14.17+8.99 vs. 11.16+7.88, p=0.004). Similarly, bioc Conclusion: Metabolic Syndrome Severity Score equation does not associate with Poly Cystic Ovarian Syndrome criteria as defined by Rotterdam. Insulin resi

10-Year Atherosclerotic Cardiovascular Disease (ASCVD) Risk Score Calculation in Out-Patient Department

Objective: To calculate 10-year Atherosclerotic Cardiovascular Disease risk score in outdoor department of a tertiary care hospital and identify individuals at high risk of cardiovascular disease. Study Design: Cross-sectional study. Place and Duration of Study: Combined Military Hospital, Malir, Pakistan, from Oct 2020 to Mar 2021. Methodology: 116 patients presenting to Out-Patient Department of General Medicine of CMH, Malir, Pakistan, without previous evidence of cardiovascular disease were included. Previous history of diabetes, smoking, use of anti-hypertensives, Aspirin and statins was recorded. Systolic and diastolic blood pressures, waist circumference, HbA1c, fasting blood sugar, fasting LDL, HDL and total cholesterol were tested for each patient. 10-year ASCVD risk score was calculated using online ASCVD Risk Estimator calculator. Results: Mean age of the patients was 58.6±9.92 years with 62.1% being males and 37.9% being females. Mean 10-year ASCVD risk score was 13.37±7.1, of which 21 patients (18.1%) had Very High, 66(56.9%) had Intermediate and 29(25%) had Low 10-year ASCVD risk score. Among Very High cases, 80.9% were males, all were in age group 50-79 years, 61.9% were diabetic, 33.3% were smokers and 66.7% were obese. Conclusion: A very high percentage of study group had Intermediate or Very High 10-year ASCVD risk score. Identifying those individuals at high risk early and controlling the modifiable risk factors can help lessen the morbidity and mortality associated with cardiovascular diseases.

Assessment of lipid profile and its correlation with ASCVD risk in the general population

Background: Atherosclerotic cardiovascular disease (ASCVD) is a major global health issue with high morbidity, mortality, and healthcare costs, emphasizing the need for effective risk assessment for prevention and management. This study aimed to assess the lipid profile of the general population and establish correlations with their ASCVD risk. Methods: This cross-sectional study was conducted among the general population in India. Participants were invited through advertisements to attend the ASCVD camp for a lipid profile check-up. Results: A total of 1068 participants were included, with a mean age of 52.7 years. The majority of participants were male (69.8%). Approximately 33% of participants had low ASCVD risk, followed by 31.6% with high risk, and 26.7% with intermediate risk. In the high ASCVD risk group, participants aged ≥60 years were significantly higher compared to those in the low risk, borderline risk and intermediate risk groups (P<0.001). The mean total cholesterol and low-density lipoprotein (LDL) were significantly increased in participants with high ASCVD risk compared to intermediate, borderline and low risk (P<0.001 and P=0.001). The mean HDL cholesterol level was significantly lower in male participants compared to female participants (P<0.001). There was a positive correlation between age (r=0.783), total cholesterol (r=0.372) and the ASCVD risk score (P<0.001 for both). There was negative correlation between HDL and ASCVD risk score (r=-124; P<0.001). Conclusion: This study demonstrates a significant association between lipid profiles and ASCVD risk. Age, total cholesterol, and LDL levels are positively correlated with ASCVD risk, while HDL levels show a negative correlation.

Assessment and Predictors of Metabolic Syndrome in Patients With Xanthelasma Palpebrarum: An Observational Study

Introduction: Xanthelasma palpebrarum is considered to be a cutaneous marker for cardiovascular diseases, and there is a known association with hypertension, insulin resistance, diabetes mellitus, obesity and stroke. Objectives: Our aim was to study the association and identify the predictors of Metabolic Syndrome in patients of xanthelasma palpebrarum. Methods: An observational study was conducted on 55 patients in which patients of both sexes between the ages of 20-70 years without any other skin condition were included after written informed consent. After history and examination, blood pressure and waist circumference were measured in all the subjects. Investigations were sent for fasting blood sugar levels and serum lipid profile. The 2006 IDF Definition of Metabolic Syndrome was used as assessment criteria. Results: Among the 55 patients, metabolic syndrome was present in 23 patients (41.82%). There was a statistically significant (p<0.05) difference in the values of waist circumference (100% vs. 59.38%, P=0.0003), elevated blood pressure (82.61% vs. 9.38%, P<.0001), raised fasting blood sugar (47.83% vs. 18.75%, P=0.021), and raised triglyceride levels (56.52% vs. 25%, P=0.018) between patients with metabolic syndrome and those without. However, HDL cholesterol levels (34.78% vs. 50%, P=0.262) were comparable between both groups. Also, a patient aged 41 years or more with even a single xanthelasma of more than 1 year’s duration has 76.1% chance of developing metabolic syndrome. Conclusions: Metabolic syndrome develops in a sizeable number of xanthelasma palpebrarum patients and therefore this gives us an opportunity for early diagnosis and intervention to prevent the development of cardiovascular complications.

Relationship between thyroid function and lipid atherogenic profile in pediatric patients with multisystem inflammatory syndrome associated with COVID-19.

Concurrent alterations in the metabolic profile and thyroid dysfunction, including non-thyroidal illness syndrome (NTIS) has been reported in multisystem inflammatory syndrome in children (MIS-C). Considering the influence of thyroid hormones (TH) on lipid metabolism, we explored the relationship between thyroid function and the atherogenic lipid profile in children with MIS-C at admission and during a 12-month follow-up. we considered children admitted for MIS-C. Total and HDL cholesterol, triglycerides (TG), fasting plasma glucose, fasting plasma insulin as well as free T3 (FT3), free T4 (FT4), and TSH were assessed at diagnosis within 24 h of admission and during follow-up. TG/HDL ratio, no-HDL/HDL ratio and atherogenic index of plasma was also considered as atherogenic risk markers. we monitored 56 children. On admission, pathological levels of FT3, FT4, TSH, TG, TC, HDL, TG/HDL ratio, no-HDL/HDL ratio, and AIP were detected. Correlation analyses revealed associations between FT3, FT4, and lipid markers and TSH with TG. During monitoring, while complete restoration of TH balance was achieved at 12 months, some patients still exhibited an altered lipid profile, without correlation between thyroid function and lipid markers. we supported a relationship between thyroid function and an atherogenic lipid profile in children with MIS-C. This may result from interactions between adaptive and innate metabolic responses and genetic predisposition. Elucidating the relationship between TH and metabolic pathways during infections could help identify new biomarkers to prevent acute and fatal outcomes, improving patient prognosis and protecting long-term health.

Clinical Deep Data Accumulation System (CLIDAS) reveals a "Lipid paradox" of hypertriglyceridemia in Japanese patients

Abstract Background The association between triglycerides (TG), HDL cholesterol (HDL-C) and the prognosis of cardiovascular disease has not been established. Purpose The aim of this study was to elucidate the relationships between the combination of TG and HDL-C levels and the risk of a major adverse cardiac and cerebral events (MACCE) and to verify the usefulness of TG and HDL-C as a risk stratification factor using the Clinical Deep Data Accumulation System (CLIDAS) database. Methods CLIDAS is a database that accumlates electronic medical records in seven tertiary hospitals in Japan including patient characteristics, medications, laboratory test, physiological test, cardiac catheterization, and PCI treatment. We analyzed 9,690 patients who underwent PCI between April 2014 and March 2020. These patients were stratified into the acute coronary syndrome (ACS) group (N=4,135; 43%) and the chronic coronary syndrome (CCS) group (N=5,555; 57%). Furthermore, patients were divided into four groups based on mean serum TG levels (175 mg/dL) and HDL-C levels (40 mg/dL) as cutoff values: high TG/low HDL-C, low TG/low HDL-C, high TG/high HDL-C, and low TG/high HDL-C, and compared for major adverse cardiac and cerebrovascular events (MACCE). The median follow-up duration was 2.5 years. Results The patients with high TG/low HDL-C showed the highest event rates in myocardial infarction among the ACS group. The hazard ratio for high TG/low HDL-C versus low TG/high HDL-C was 1.76 (95% CI, 1.08 to 2.87, P < 0.05) after adjustment for age, sex, eGFR, and mean LDL-C levels, while we observed no risk stratification by the combination of TG and HDL-C levels in the CCS group (Figure 1). In contrast, the patients with low TG levels showed the paradoxically higher event rates of MACCE in both the ACS and CCS groups, as well as cardiovascular death in the CCS group, compared to those with high TG levels (Figure 2). The hazard ratio for low TG/low HDL-C versus high TG/low HDL-C was 3.21 (95% CI, 1.44 to 7.13, P <0.005), and the hazard ratio for low TG/high HDL-C versus high TG/high HDL-C was 2.23 (95% CI, 1.03 to 4.84, P < 0.05) in the CCS group after adjustment for age, sex, eGFR, and mean LDL-C levels. Conclusion In the CLIDAS database, while high TG and low HDL-C levels stratified the risk of ACS, low TG levels showed worsening prognosis for CV death, suggesting a "Lipid paradox" in the real world.Figure 1Figure 2

An Elevated FIB-4 Score is associated with the severity of heart failure

Abstract Background Liver disease and heart failure (HF) are known to be closely associated. Non-invasive tests (NIT), such as the FIB-4 score, have been recommended by different guidelines to rule out advanced liver fibrosis and to stratify the risk of liver-related outcomes in patients with chronic liver diseases. Purpose Thus, our goal was to evaluate the connection between the FIB-4 index, heart failure, associated comorbidities, and cardiological biomarkers that predict the risk of liver fibrosis in patients with heart failure. Methods HF patients hospitalized in the cardiology department were divided into a group with an FIB-4 index <1.3 (indicating a low risk of liver fibrosis) (n=53) and a group with an FIB-4 index ≥1.3 (indicating intermediate and high risk of fibrosis) (n=59). Clinical examinations, laboratory results, echocardiography with Vivid E95-GE Healthcare, non-invasive body mass analysis with Body Composition Analyzer (Tanita Pro), and measurements of NT-proBNP, growth differentiation factor 15 (GDF-15), galectin-3, fatty acid-binding protein (FABP), copeptin, and vascular endothelial growth factor (VEGF) concentrations were performed. Results The patients with an FIB-4 index ≥1.3 had significantly higher: left ventricular volume index (LAVI) (p=0.004), E/E’ ratio (p=0.004) and lower left ventricular ejection fraction (p=0.003) compared to group with low risk of liver fibrosis. There were no differences in body mass compartments between groups except for ECW/TBW (%) - an index of body water distribution, which was lower in low-risk liver fibrosis group (p=0.0002). Patients with an FIB-4 index ≥1.3 had also lower: GFR MDRD (median 59.95 vs 85.1 mL/min/1.73 m²; p<0.001), total cholesterol (116.5 vs 15 mg/dL; p=0.002), LDL cholesterol (median 56 vs 93 mg/dL; p<0.0001) and HDL cholesterol (median 39 vs 47 mg/dL; p=0.03). Regarding heart failure biochemical biomarkers, patients with low risk of liver fibrosis had significantly lower level of NT-proBNP (median 37 vs 161 pg/ml; p<0.0001), GDF-15 (median 399.6 vs 898.9 pg/ml; p<0.0001) and FABP (median 101 vs 264,7 pg/ml; p=0.04). In a multiple logistic regression model the factors that were independently associated with the risk of liver fibrosis in HF patients based on an FIB-4 index were GDF-15 >724 pg/ml (OR 33.7, 95%CI: 6.5-174.2; p=0.0001), and NT-proBNP >129 pg/ml (OR 19.9, 95% CI: 3.8-103; p=0.0001) (Figure 1) Conclusion Our study suggests association between an elevated FIB-4 score and heart functions, and kidney impairment with fluid overload but not with higher total and low density cholesterols fractions or percentage of fat. Higher GDF-15 and NT-proBNP levels are independently associated with the risk of liver fibrosis based on an FIB-4 index. FIB-4 index in HF patients is an easy method to monitor the risk of liver fibrosis and might help to predict the HF progression and CVD complications.

Metabolically healthy obesity and cardiovascular outcomes

Abstract Obesity increases cardiovascular risk through a deterioration of the metabolic profile. However, obesity is not always accompanied by a worsening metabolic profile. This longitudinal study aimed to determine whether obesity with a normal metabolic profile, i.e. metabolically healthy obesity, increases the risk of cardiovascular disease. We analyzed a health insurance data of Shizuoka prefecture resident. This data includes data from annual health check-ups performed for insured persons. This study analyzed data from 168,699 individuals aged <65 years. Obesity was defined as ≥ 25 kg/m2 body mass index. Metabolically healthy was defined as ≤ 1 metabolic risk factors (high blood pressure, low high-density lipoprotein cholesterol, high low-density lipoprotein cholesterol, or high hemoglobin A1c). Incidence rate of cardiovascular diseases (stroke and myocardial infarction), and all-cause mortality identified from the insurance data were compared between clinical profile-matched metabolically healthy obesity and non-obesity groups (n = 8,644 each). Clinical parameters, namely systolic blood pressure (standard mean difference = 0.03), HDL cholesterol (0.01), LDL cholesterol (0.01), and hemoglobin A1c (0.01) did not differ among the metabolically healthy obesity and non-obesity groups. The incident rate of stroke (obesity: 9.2 per 10,000 person-years; non-obesity: 10.5; log-rank test P = 0.595), myocardial infarction (obesity: 3.7; non-obesity: 3.1; P = 0.613), and all-cause mortality (obesity: 26.6; nonobesity: 23.2; P = 0.304) also did not differ significantly among the groups even when abdominal obesity was considered in the analysis, though the population with metabolically healthy obesity reported negligibly worse metabolic profiles than the population with nonobese at the 5.6-year follow-up. Obesity, when accompanied by a healthy metabolic profile, did not increase the risk of cardiovascular outcomes and all-cause mortality. Key messages • Metabolically healthy obesity did not increase cardiovascular disease risks. • Metabolically healthy obesity was associated with worse metabolic profiles after a few years later.

The association of inflammation, triglycerides and lipoprotein(a) with cardiovascular events in the UK Biobank

Abstract Background Recent trial data has suggested that high-sensitivity C-reactive protein (hsCRP) is, at least, as strong a predictor of future cardiovascular events as LDL cholesterol in patients on lipid-lowering therapy1,2. There are limited data however on how hsCRP and other additional risk factors perform in patients at different levels of CVD risk. Purpose To evaluate the relationship of hsCRP, triglyceride and lipoprotein(a) [Lp(a)] levels with cardiovascular events in guideline-defined, clinically distinct cohorts. Such a study will improve the understanding of CVD risk prediction and provide essential information on the role of these pathways in CVD. Methods Data from the UK Biobank were used. In accordance with the 2021 ESC CVD prevention guidelines, four risk groups were derived based on clinical data and 10-year CVD risk, calculated from the recently derived SCORE2 model (Figure 1)3. Those not falling into one of the four cohorts were excluded as further risk stratification in these individuals would not influence management. For increasing quartiles (Q) of each biomarker, hazard ratios (HR), 95% confidence intervals (CI) and p-values were calculated relative to the lowest Q, using Cox proportional hazards models, adjusted for age, sex, smoking status, systolic blood pressure, HDL cholesterol and total cholesterol. Interactions between sex and biomarker were explored. The primary endpoint was major adverse cardiovascular events (MACE), defined as a composite of cardiovascular death, myocardial infarction, and ischaemic stroke. Secondary endpoints were the individual components of the primary endpoint. Results A total of 229,339 participants were included across the four risk groups, with a total of 24,133 primary endpoint events over the mean follow-up period of 14 years. In all four groups there was a robust linear relationship of hsCRP with MACE (p<0.001 [Figure2]) – strongest in the secondary prevention population (Q4 v Q1 HR=1.79 [95%CI:1.60, 2.02]). Of the secondary endpoints, hsCRP was most strongly associated with cardiovascular death (Q4 v Q1 secondary prevention cohort HR=1.97 [1.68, 2.30]). Lp(a) was associated with MACE in the primary prevention cohorts only (Q4 vs Q1 high-risk cohort HR=1.35 [1.27, 1.44]), driven by its strong association with myocardial infarction (Q4 vs Q1 HR 1.61 [1.48, 1.75]) but not other secondary endpoints. After adjustment, triglyceride levels were not associated with MACE in the four cohorts. There was no evidence of sex interactions in any analysis (p>0.05). Conclusions After adjustment for traditional CVD risk factors, hsCRP is a more robust predictor of cardiovascular events than Lp(a) or triglycerides in both primary and secondary prevention settings. Consideration should be given to evaluating whether hsCRP, Lp(a) and other ‘non-traditional’ risk factors can improve CVD risk reclassification and/or be used to guide allocation to targeted anti-atherosclerotic therapies.Figure 1:Participant FlowFigure 2:Main effects

Differences in cardiovascular risk in the general population of low and high altitude residents in Peru. HIGH Altitude CArdiovascular REsearch Latin America Population Study (HIGHCARE-LAPS)

Abstract Introduction Living at high altitude (HA) is associated with profound changes in cardiovascular physiology, mostly caused by chronic hypoxia. Available data from high income countries (Switzerland, Austria) suggest beneficial effects of moderate altitude residence in terms of cardiovascular risk. Little is known, however, about cardiovascular risk profile in long-term residents of higher altitudes from low-income countries. Aim To compare cardiovascular risk estimated with validated score in population-based samples of permanent residents of low and high-altitude communities in Peru. Methods Study participants (adults permanently residing at either low or high altitude) were recruited by sex- and age-stratified random multistage cluster sampling from the general population of urban areas at different altitudes in Peru (lowlanders: <500 m above sea level, highlanders: cities at 3287 m, 3824 m and 4330 m). For all participants questionnaire-based information, conventional blood pressure (BP; 3 seated measurements with a validated oscillometric device) and laboratory variables were obtained. Based on the collected data atherosclerotic cardiovascular disease (ASCVD) risk was estimated according to Pooled Cohort Equations (PCE, previously calibrated in South American population). Participants below 40 years of age, with ASVCD history, with LDL-C≥190 mg/dL or on LDL-C lowering therapy were excluded from this analysis. Results The analysis included 146 lowlanders and 373 highlanders, most of whom had low 10-year ASVCD risk, with the median estimated risk being significantly higher among lowlanders. Comparisons between the groups in terms of principal variables of interest are reported in the Table. The highlanders were slightly younger, had lower BMI, conventional BP, HDL cholesterol, lower prevalence of antihypertensive medication and of diabetes, and higher heart rate. In a multivariable model the difference in ASCVD risk between lowlanders and highlanders was significant (p=0.0009) after adjusting for BMI and socio-economic variables but not after systolic BP was included in the model (p=0.800). Conclusions Residence at HA is associated with a lower estimated ASCVD risk in the general population of Peru, mainly because of lower BP levels. Considering that the prognostic value of cardiovascular risk estimates in highland populations is unknown, longitudinal cohort studies would be required to assess whether this finding is associated with a lower rate of cardiovascular events.

Nutritional management, skipping breakfast, glycemic control, and cardiovascular risk on type 2 diabetes mellitus

Abstract Background Meal timing is an emerging field that investigates the influence of eating patterns on circadian rhythm and general health. There is still disagreement in the literature as to whether eating windows could impact weight gain and biochemical markers. Purpose 1- Evaluate the impact of nutritional interventions on weight, body mass index (BMI), waist circumference (WC), fasting blood glucose (FG), glycated hemoglobin (HbA1c), LDL cholesterol (LDL-C), HDL cholesterol (HDL-C), triglycerides, systolic blood pressure (SBP), and diastolic blood pressure (DBP), between 0th and 12th month in Type 2 Diabetes Mellitus (T2D); 2-Observe breakfast skipping and sleep disorders, and also analyze the influence of these data with possible changes in anthropometric and biochemical markers. Methods This experimental and observational study recruited 44 participants with T2D. The assessments were carried out in October 2022 and 2023. The nutritional assessment consisted of prescribing a personalized eating plan (Mediterranean diet and DASH). Statistical analysis: For the variables "breakfast habits", "nocturnal awakenings", and "sleep duration", the numbers of participants were converted into percentages of the total number of individuals. Parametric variables were compared using the paired t-test and non-parametric variables were compared by the Wilcoxon test. To evaluate the influence of the habit of eating breakfast and sleep disorders on quantitative variables, variations were calculated between the 0th and 12th month between participants who had or did not have the habit of eating breakfast and had or did not have sleep disorders. Parametric variables were compared using the unpaired t test and non-parametric variables using the Mann-Whitney test. Parametric data were presented as mean ± standard deviation and non-parametric data as median ± interquartile range, both accompanied by the dispersion of all repetitions. α<0.05 and P<0.05 were adopted. Results Significant reductions were found between the 0th and 12th month of FG, HbA1c, LDL-C, triglycerides, SBP, DBP, BMI, WC, and weight (p<0.0001). Regarding breakfast habits, in the 1st month, 77.3% of participants skipped this meal, reducing to 13.6% in the 12th month. For sleep duration, in the 1st month, 90.9% of participants slept less than 6 hours, reducing to 40.9% in the 12th month. For nocturnal awakenings, 70.5% of participants had at least 1 awakening in the 1st month, reducing to 54.5% in the 12th month. For influence analysis, no significant differences were found between changes in FG, HbA1c, LDL-C, triglycerides, SBP, DBP, BMI, WC, and weight on breakfast habit or sleep disorders, except for HDL-C and sleep disorders (p<0.005). Conclusion Nutritional management improved biochemical markers, reduced anthropometric data, regulated the eating window, reduced nocturnal awakenings, and optimized sleep duration in patients with T2D.

All-cause, cancer and cardiovascular mortality among South Asians living in the UK: Follow-up of the London Life Sciences Population (LOLIPOP) cohort

Abstract Background Although South Asians are the largest ethnic minority group in the UK, and the largest ethnic group worldwide, few studies have investigated patterns of mortality in South Asians. Methods We investigated 16,391 South Asian and 6,970 European men and women living in the UK, and participating in the London Life Sciences Prospective Population study. Participants were recruited in 2002-2008, and survival determined to 2019. We examined relationships of clinical, anthropometric, and lifestyle risk factors to mortality outcomes. Findings: Compared to Europeans, South Asians had higher prevalence of diabetes, cardiovascular disease, and hypertension, higher waist-hip ratio, fasting glucose, insulin and triglycerides, but lower smoking rates and HDL cholesterol (all P<0.001). Age and sex adjusted all-cause mortality was lower (Hazard Ratio (HR): 0.75 [0.68-0.81], P<0.001), all-cancer mortality was lower (HR 0.50 [0.43-0.58], P<0.001), and coronary heart disease (CHD) mortality was higher (HR 1.29 [1.05-1.60], P<0.01) in South Asians compared to Europeans. Mortality rates were ~50% lower for 9 of the 10 most common cancers in South Asians. After adjusting for risk factors, ethnic differences were attenuated only for CHD mortality. Interpretation: All-cause and cancer mortality are lower, but CHD mortality is higher, in South Asians compared to Europeans. Measured risk factors do not explain lower all-cause and all-cancer mortality, but do account for higher CHD mortality. Our findings provide evidence for population-specific exposures protective against cancers in South Asians, as well as the motivation to further improve cardiovascular risk reduction in this major ethnic group.

Artificial intelligence-enhanced electrocardiography predicts 10-year risk of atherosclerotic cardiovascular disease

Abstract Background The ACC/AHA pooled cohort equations (PCE) calculates the 10-year primary risk of atherosclerotic cardiovascular disease (ASCVD), an indication to initiate primary prevention statin therapy in international guidelines. The validity of PCE is limited by its overestimation of risk in high-risk cohorts and an ethnic heterogeneity. Electrocardiography (ECG) has not been incorporated in current ASCVD risk estimation tools. Artificial Intelligence (AI)-based models are capable to capture patterns that are informative for cardiovascular prognosis. Purpose We explored the predictive value of a discrete-time survival model in 10-year ASCVD risk in comparison to PCE. Methods We developed an AI-ECG model to predict the 10-year ASCVD risk in an unselected secondary care population from the USA comprised of 1,163,401 ECGs from 189,539 patients. Data was split into training/validation and hold-out test sets by patient ID. Our AI-ECG model uses deep learning with a residual convolutional neural network with a discrete-time survival loss function to output subject-specific survival curves, accounting for both time to event and censorship (i.e., loss to follow up). We compared the performance of out AI-ECG model using a subset of outpatient data (n=4590) of the BIDMC dataset to PCE and ASCVD risk factors including systolic blood pressure, total cholesterol, HDL cholesterol, hypertension, smoking history, diabetes mellitus, and ethnicity. Performances were evaluated using cox survival analysis. Our AI-ECG model was externally validated in the UKB Biobank (UKB), where we compared the performance of our AI-ECG model to predictions of existing AI-ECG models such as the Stanford Estimator of Electrocardiogram Risk (SEER) model. Results Our AI-ECG successfully predicted future ASCVD events in individuals (C-index 0.721 (0.719-0.723), 5-year AUC 0.761 (0.758-0.763), and differentiated between high and low risk group with an adjusted HR of 2.33 (2.26-2.41). Upon internal validation our AI-ECG model showed a superior performance (C-index 0.679 (0.651-0.708)) than PCE (0.605 (0.577-0.634)) and all risk factors combined (C index 0.642 (0.613-0.672)). When combining AI-ECG predictions with all risk factors, the model showed additional predictive value (0.686 (0.657-0.715)) (Figure 1). Our AI-ECG model showed modest predictive value within the UKB dataset (C-index 0.655 (0.637-0.673)), but significantly outperformed the SEER model (C-index 0.547 (0.527-0.567), p <0.0001 for comparison with AIRE). Conclusion We have shown the potential of AI-ECG models in predicting future ASCVD risks. AI-ECG models demonstrated accurate discrete time survival prediction and good classification performance superior to that of the SEER model, as well as PCE and ASCVD risk factors. . Accurate risk assessment of ASCVD may help prevent adverse events in high risk subjects and save unnecessary pharmacological interventios in low risk subjects.Figure 1

Anti-Apolipoprotein A-1 IgG, incident cardiovascular events and lipid paradox in rheumatoid arthritis

Abstract Objectives To validate the prognostic accuracy of anti-apolipoprotein A-1 IgG (AAA1) for incident major adverse cardiovascular (CV) events (MACE) in rheumatoid arthritis (RA) and study their associations with the lipid paradox at a multicentric scale. Methods Baseline AAA1 -, lipid profile, atherogenic indexes, and cardiac biomarkers were measured on the serum of 1472 RA patients included in the prospective Swiss Clinical Quality Management registry with a median follow-up duration of 4.4 years. MACE was the primary endpoint defined as CV death, incident fatal or nonfatal stroke, or myocardial infarction (MI), while elective coronary revascularisation (ECR) was the secondary endpoint. Discriminant accuracy, and incidence rate ratios (IRR) were respectively assessed by C-statistics and Poisson regression models. Results During follow-up, 2.4% (35/1472) patients experienced MACE, consisting in 6 CV deaths, 11 MI and 18 strokes. ECR occurred in 2.1% (31/1472) of patients. C-statistics indicated that AAA1 had a significant discriminant accuracy for incident MACE (C-statistics: 0.60, 95% confidence intervals [95%CI]: 0.57-0.98, p=0.03), mostly driven by CV deaths (C-statistics:0.77; 95%CI: 0.57-0.98, p=0.01) and without predicting incident ECR. IRR indicated that for every unit increase in AAA1, incident CV death rate increased by 5-fold (95%CI:3.6-7.3), independently of various models’ adjustments. At the predefined and validated cut-off, AAA1 displayed negative predictive values above 97% for the MACE components. AAA1 inversely correlated with total, and HDL cholesterol, but not with atherogenic indexes. Conclusions AAA1 independently predict CV deaths in RA. Whether AAA1 could improve CV risk stratification by identifying in particular low CV risk patients remains to be demonstrated.

A Review of Lifestyle Interventions in Weight Loss Programs for Community-Based Psychiatric Patients

Abstract Background Psychiatric patients face aggravated physical health issues and reduced life expectancy, primarily due to premature cardiovascular diseases. The intricate relationship between lifestyle factors, illness, and psychotropic medications contributes to this phenomenon. The focus of this research is to evaluate weight management interventions for individuals with Severe Mental Disorders through a comprehensive scoping review, focusing on diverse study designs, outcomes, and their clinical implications. Methods 20 studies were analyzed to understand the effectiveness of interventions and characteristics, such as duration, delivery, and professional involvement. Assessment criteria included weight modifications, BMI changes, and metabolic measures like blood pressure and lipid profiles. Results The total number of participants included in the 20 studies evaluated was 3886. All trials included individuals of all genders. The studies included patients with a weighted mean age of 44.37 (SD = 4.72) and a mean BMI of 34.7 kg/m2 (SD = 3.56). Varied interventions, mostly conducted in the US, showed promising weight reduction and cardiovascular risk management results among psychiatric patients. However, disparate methods used in the studies hindered the evaluation of outcomes. The studies which yielded more interesting results included Gaughran F. et al, 2017 who showed improvements in HDL cholesterol and metabolic indicators, (HR 0.085; 95% CI:0.007-0.16), and Bartels S. et al, 2015 who reported that 51% of participants achieved clinically significant reduction in overall cardiovascular risk. Conclusions Although interventions displayed potential benefits for beneficiaries, the lack of standardized protocols and non-uniform endpoints poses challenges in effectively addressing weight-related concerns in psychiatric patients. Clear guidelines and standardized assessments are necessary to implement psychiatric patients’ weight management interventions. Key messages • The health issues and reduced life expectancy of psychiatric patients is a major health burden. The mean BMI of 34.7 kg/m2, indicating a prevalence of Obese individuals needs to be addressed. • Psychotropic medications are associated with increase in weight. More effort in increasing awareness and including mandatory nutritional educational classes when prescribing these drugs is needed.

Utility of the triglycerides/HDL cholesterol ratio in older adult patients in Colombia

Abstract Introduction Alterations in lipid metabolism are responsible for atherogenesis and an increased risk of atherosclerotic cardiovascular disease. The triglycerides to high-density lipoprotein cholesterol ratio (TG/HDL-C) is used to assess the risk of cardiovascular diseases; however, it has not been evaluated in older adults. The aim of the present study is to evaluate the TG/HDL-C ratio in elderly patients and analyze its correlation and discriminatory capacity with cardiovascular risk factors according to data from the SABE Colombia survey. Purpose Describe the sociodemographic characteristics, cardiovascular history, lifestyle, and cardiovascular risk score in the older adult population included in the SABE Colombia Study.Describes the distribution of triglyceride levels, cholesterol, and the TAG-HDL ratio in the older adult population included in the SABE Colombia Study. Evaluate the relationship between the TAG/HDL Cholesterol Index and cardiovascular risk factors such as hypertension, prediabetes, type 2 diabetes mellitus, cardiovascular disease, cerebrovascular disease Determine if there is a correlation and the degree of correlation between the TAG/HDL Cholesterol ratio and variables related to higher cardiovascular risk and stablish cutoff points of the triglyceride to HDL cholesterol ratio as indicators of the onset of risk factors Materials and Methods Cross-sectional study in adults aged 60 years and older included in the national SABE Colombia survey (National Survey of Health, Well-being, and Ageing conducted in Colombia in 2015), which included 244 municipalities from all departments of the country. A correlation test was performed to assess the presence and degree of correlation between the TAG/HDL index and cardiovascular risk factors, and ROC curve analysis was conducted to evaluate the performance of the TAG/HDL index in identifying risk factors. Results A total of 23,694 patients with the necessary information for the study were included. The median age was 69 years, 57.3% were women, and 34.3% were of white race. 23.5% had hypertension, and 16.4% had diabetes mellitus. 13.4% had a history of cardiovascular disease, and 2.5% had cerebrovascular disease. While the specific correlation between the index and different cardiovascular risk factors is generally low to moderate, good discriminatory capacity was found for diabetes and metabolic syndrome with the following values: diabetes, with an area under the curve (AUC) of 0.871 and a cut-off point of 9.17; and for metabolic syndrome, the AUC was 0.840, with a cut-off point of 8.81. Conclusions Our findings show that the TG/HDL ratio has intermediate correlation for different cardiovascular risk factors; however, it has excellent predictive ability for the presence of diabetes and metabolic syndrome. These findings are very useful in the clinical evaluation, screening, and detection of cardiovascular risk factors in the population aged 60 years and older in Colombia.Scatter plots of TAG/HDL ratio comparedROC curves for diabetes and metabolic s

Cardiovascular disease risk in people with diabetes in the era of universal diabetes screening

Abstract Background/Introduction Traditionally, most people with diabetes have been considered at high cardiovascular disease (CVD) risk and CVD preventive treatment has been recommended for almost all patients after diagnosis. However, guidelines are increasingly recommending a more stratified approach to preventive treatment informed by predicted CVD risk. In the early 2000’s, New Zealand initiated the world-first national diabetes screening programme, as a component of a national CVD risk assessment programme, and by 2016, approximately 90% of eligible New Zealand adults had been screened. We hypothesised that in the era of universal diabetes screening, many recently diagnosed patients will be at low CVD risk and that contemporary CVD risk prediction equations would be required to accurately assess their risk. Purpose We aimed to develop sex-specific 5-year CVD risk prediction models in people with diabetes in New Zealand using a contemporary natural-population based cohort, and to characterise the distribution of CVD risk. Methods De-identified individual-level linkage of multiple health administrative datasets was undertaken to establish a cohort of almost all adults with diabetes in the northern region of New Zealand (one-third of the national population), without CVD or heart failure, and aged 30–74 years on January 1, 2014, with follow-up linkage to hospitalisations and mortality until December 31, 2018. Sex-specific models were developed to estimate the 5-year risk of CVD hospitalisation or death, with 15 pre-defined predictors, including sociodemographic variables, diabetes-related and renal function measures. Results 64,645 participants (median age: 57 years [IQR: 49–65]) were included in the final cohort, of whom 4,992 had first CVD events during 301,272 person-years follow-up. Models calibrated well in both women and men (Figure 1). Overall, increasing age; high deprivation level; smoking-related hospitalisations or use of smoking cessation medications; history of atrial fibrillation; high levels of haemoglobin A1c, total cholesterol to HDL cholesterol ratio, and albumin-to-creatinine ratio; use of blood pressure-lowering medications and insulin were associated with elevated CVD risk. Median 5-year CVD risks were 4.9% (IQR: 2.9%–8.1%) in women and 7.7% (4.8%–12.0%) in men. There was a wide range of predicted 5-year CVD risk, with 51% of women and 27% of men having a predicted risk below 5%, and 6% of women and 16% of men having a risk of 15% or above (Figure 2). Conclusions This study demonstrated marked heterogeneity in predicted CVD risk in people with diabetes in an era of universal diabetes screening. As diabetes screening is increasingly undertaken as part of a routine CVD risk assessment, these findings will have important clinical implications for accurately targeting new but expensive CVD preventive medications to the highest risk patients.

Lipoprotein (a), coronary artery disease risk, and MACE in individuals without standard modifiable risk factors in the UK Biobank

Abstract Background A significant proportion of patients with coronary artery disease (CAD) lack standard modifiable risk factors (SMuRFs; smoking, hypercholesterolaemia, diabetes and hypertension), for example with recent analyses demonstrating that around 25% of patients with ST-elevation myocardial infarction are SMuRF-less(1). With continued focus on primary prevention in cardiovascular disease, the SMuRF-less subset is likely to increase over time. A body of evidence has implicated lipoprotein (a) in CAD, but no such studies have investigated this association in a purely SMuRF-less population. Purpose To investigate the role of lipoprotein (a) in predicting CAD risk and major adverse cardiovascular events (MACE) in a large, SMuRF-less cohort. Methods The UK Biobank is a large prospective multicentre study which recruited over 500,000 participants in the UK aged 37-73 years at entry between 2006-2010. SMuRFs were defined as 1) smoking (current or historical), 2) hypercholesterolaemia – lipid lowering medication on enrolment or total cholesterol >5.5mmol/L or LDL-C >3.5mmol/L, 3) previous diagnosis of diabetes mellitus, or HbA1c >48mmol/mol, 4) previous diagnosis of hypertension. MACE was defined as a composite of coronary artery disease – previous myocardial infarction, percutaneous coronary intervention or coronary artery bypass graft surgery –, stroke, or all-cause mortality. Results Of the total UK Biobank cohort, 46,139 participants were identified as SMuRF-less together with a valid lipoprotein (a) level. Median follow-up duration was 12yrs. In univariate analyses (Table 1), there was no significant difference in lipoprotein (a) concentrations between individuals with and without MACE (16.9 vs. 17.1nmol/L respectively, p = 0.913). The overall event rate was low, with just 3% MACE (1381 events) overall. Older age, male gender, apolipoprotein A, apolipoprotein B, HbA1c level, HDL cholesterol level and body mass index were all associated with MACE. In regard to all-cause mortality alone, there was no association with lipoprotein (a) level, although the other aforementioned parameters were all significantly associated with this outcome. Similarly, lipoprotein (a) was not a significant predictor of stroke. However, there was a large difference in lipoprotein (a) levels between patients with and without CAD (27.2 vs. 17.1nmol/L respectively, p = 0.004). In Kaplan-Meier analysis, lipoprotein (a) level above the 77th percentile (60.3nmol/L) was significantly associated with CAD (p=0.032). In Cox regression models, despite the low event rate, lipoprotein (a) was a significant predictor of CAD (HR 1.00-1.01, p=0.01), and importantly the only potentially modifiable parameter (N = 39,433, 111 events, Table 2). Conclusion Lipoprotein (a) independently predicts CAD in those without SMuRFs, highlighting the importance of checking this parameter in such patients, particularly given the novel antisense technologies in development which may lower lipoprotein (a)(2).Univariate analysesCox regression for CAD

Lipids and glycemia profiles in adults: the Italian Health Examination Survey 2023 - CUORE Project

Abstract Background WHO recommends monitoring glycemic and lipid profiles in the population to control and prevent NCDs. The target for glycemic/diabetes is to halt the rise within 2025 (2010 as baseline). The Italian Ministry of Health (MoH) has strengthened prevention/health promotion and supported their periodic assessment through national health examination surveys (HESs), financed by MoH-CCM and conducted within the CUORE Project. Methods In 2023 a new HES started including the assessment of fasting serum glycemia, total and HDL cholesterolemia and triglyceridemia. Up to now, data from random samples of residents in 7 Regions (of 20 regions) distributed in North, Centre and South of Italy and aged 35-74 years are available (687 men, 704 women). Glycemia and lipids profiles were assayed by a central lab. Elevated glycemia/diabetes (DM): glycemia ≥ 126 mg/dl and/or on medication. Elevated total cholesterol/hypercholesterolemia (HChol): total cholesterol ≥ 240 mg/dl and/or on medication. Results Glycemia mean level was 97 mg/dl (95%CI: 95-99) in men and 90 mg/dl (89-91) in women; DM resulted 10% (5-14) and 8% (4-12) respectively. Among those with DM, about 2 in 10 men and 1 in 10 women were unaware; about 2 and 3 of 10 were aware but not on medication, respectively. Total cholesterol mean level was 192 mg/dl (189-195) in men and 200 (197-202) in women; HChol resulted 24% (18-31) and 29% (22-36) respectively. Mean level of HDL cholesterol was 48 mg/dl (48-49) in men and 59 mg/dl (58-60) in women; mean level of triglycerides was 121 mg/dl (115-126) and 95 mg/dl (92-98) respectively. Among those with HChol, about 1 in 10 men and 2 in 10 women were unaware; about 2 of 10 were aware but not on medication. Conclusions Compared to 2008, these preliminary data showed a significant decrease of glycemia, total cholesterol and triglycerides means values both in men and women, as well as of DM and HChol prevalence, but improvements on their awareness and control are still necessary. Key messages • In the Italian adult general population significant improvements in lipids and glycemia profiles occurred compared to 15 years ago. • The implementation of periodic health examination surveys is important for estimating indicators based on objective measurements and for estimating awareness and control of risk conditions.

Relationship of Plasma Apolipoprotein C-I Truncation With Risk of Diabetes in the Multi-Ethnic Study of Atherosclerosis and the Actos Now for the Prevention of Diabetes Study.

Higher truncated-to-native apolipoprotein (apo) C-I proteoform ratios (C-I'/C-I) are associated with favorable cardiometabolic risk profiles, but their relationship with longitudinal changes in insulin resistance (IR) and incident diabetes is unknown. Plasma apoC-I proteoforms were measured by mass spectrometry immunoassay at baseline in 4,742 nondiabetic participants in the Multi-Ethnic Study of Atherosclerosis (MESA) and 524 participants with prediabetes in the Actos Now for Prevention of Diabetes (ACT NOW) study. The primary outcome was incident diabetes (fasting glucose [FG] ≥7.0 mmol/L or hypoglycemic medication use in MESA; FG ≥7.0 mmol/L or 2-h glucose ≥11.1 mmol/L in an oral glucose tolerance test [OGTT] in ACT NOW). Secondary outcomes were changes in FG and HOMA-IR in MESA, and OGTT-glucose area under the curve (AUCglucose) and Matsuda insulin sensitivity index (ISI) in ACT NOW. In MESA, a higher C-I'/C-I was associated with lower risk of diabetes (n = 564 events; HR 0.87 [95% CI 0.79, 0.95] per SD; P = 0.0036; median follow-up, 9 years), and smaller increases (follow-up adjusted for baseline) in FG (-0.5%; P < 0.0001) and HOMA-IR (-2.9%; P = 0.011) after adjusting for baseline clinical and demographic covariates, including plasma triglycerides and HDL cholesterol. Total apoC-I concentrations were not associated with changes in FG, HOMA-IR, or incident diabetes. In ACT NOW, higher C-I'/C-I was associated with smaller increases in AUCglucose (-1.8%; P = 0.0052), greater increases in ISI (7.2%; P = 0.0095), and lower risk of diabetes (n = 59 events; 0.66 [95% CI 0.48, 0.91]; P = 0.004; median follow-up, 2.5 years) after adjusting for treatment group and diabetes risk factors, including plasma lipids. Our results indicate that apoC-I truncation may contribute to changes in glucose levels, IR, and risk of diabetes.