Onset Of Coronary Heart Disease Research Articles

Ultra-processed food consumption and risk of coronary heart diseases: UK Whitehall II cohort study

Abstract In recent decades, ultra-processed foods (UPFs) intake has increased drastically, sparking concerns about their potential impact on cardiometabolic diseases. However, large-scale cohort studies tracking UPF consumption at multiple time points remain limited. This study explores the prospective association between repeated measures of UPF intake and the risk of coronary heart disease (CHD), along with its secondary endpoints, within the UK Whitehall II study. The analytical sample tracked 7,138 midlife British participants without CHD from baseline. UPF consumption was measured using validated food frequency questionnaire (127 items) and classified by the NOVA system during three phases: 1991/1994 (phase 3), 1997/1999 (phase 5), and 2002/2003 (phase 7). This study assessed the onset of CHD and its secondary endpoints, including CHD and all-cause mortality, through medical exams and hospital records up to 2016 and 2021, respectively. Cox proportional hazards regression models adjusted for socio-demographics, lifestyle factors and total energy intake were used to explore the prospective association between cumulative average UPF intake (in quintiles) and CHD outcomes. During a median follow-up of 13 and 19 years, 589 cases and 1,314 deaths were documented. In multivariable adjusted cox models, the highest UPF consumption quintile versus the lowest quintile was associated with higher CHD incidence [HR:1.26; 95% Confidence Interval (CI): 1.02-1.55; p = 0.03]. Additional adjustment of total energy intake increased the CHD risk by 28% [HR:1.28; 95% CI: 1.03-1.58; p = 0.02]. No significant relationships were found between cumulative average UPF intake and CHD or all-cause mortality. In UK midlife adults, higher UPF intake is prospective associated with increased CHD risk. Although additional research is warranted, these findings emphasize the importance of public awareness and food policy interventions to reduce UPF intake for alleviating the population burden of CVD. Key messages • Our study suggests the need for increased efforts to implement population wide strategies on regulating food processing, such as taxation and front of package warning labelling of UPF. • Our study emphasizes UPF’s role in cardiovascular prevention, highlighting the need for nutrition counseling on UPF consumption for those at risk of CVD.

Triglyceride-Glucose Index as Predictor for Hypertension, CHD and STROKE Risk among Non-Diabetic Patients: A NHANES Cross-Sectional Study 2001–2020

BackgroundCardiovascular disease (CVD) is a leading cause of global mortality. Early intervention and prevention of CVD depend on accurately predicting the risk of CVD. This study aimed to investigate the association between the TyG index and the risk of coronary heart disease (CHD), congestive heart failure (CHF), heart attack (HA), stroke, and hypertension (HTN) among patients without diabetes in the United States.MethodsIn this retrospective, cross-sectional study, we used data from the National Health and Nutrition Examination Survey (NHANES) from 2001 to 2020. We conducted several regression analysis models and calculated the sensitivity and specificity of (TyG) index for predicting the onset of CHD, CHF, HA, stroke, and HTN.ResultsA total of 10,937 individuals without diabetes participated in our study. Individuals with a TyG index greater than 8.96 displayed significant increasing in various parameters, including BMI, systolic/diastolic blood pressure, total cholesterol, LDL, and Apo-B levels (p < 0.001). Almost all regression models ensured that a higher TyGI value was associated with higher odds of having CHD, CHF, HA, stroke, and HTN, which patients with a TyGI value higher than 8.96 have odds ratios of 2.24–5.58 for CHD, 1.68–4.42 for stroke, 2.45–3.77 for HA and 1.75–3.93 for HTN comparing than patients with a TyGI value lower than 8.11 (p-value < 0.05).We evaluated the predictive value of the TyG index for each endpoint, obtaining the following area under the curve (AUC) values: 54.75% for CHF (95% CI: 0.542–0.614), 52.32% for stroke (95% CI: 0.529–0.584), 55.67% for HA (95% CI: 0.595–0.646), 55.59% for HTN (95% CI: 0.574–0.597), and 50.31% for CHD (95% CI: 0.592–0.646).Conclusion The TyG index showed a strong correlation with cardiovascular risk factors in individuals without diabetes, however it was a poor predictor of almost studied cardiovascular diseases.

Molecular mechanism of Danxiong Tongmai Granules in treatment of coronary heart disease.

Danxiong Tongmai Granules (DXTMG) are widely utilized in treating coronary heart disease (CHD) in China. This study aims to explore the molecular mechanisms underlying the therapeutic effects of DXTMG on CHD by employing a network pharmacology approach, complemented with experimental validation. Traditional Chinese Medicine (TCM) compounds and targets were identified via searches in the BATMAN-TCM database, and the GeneCards database was used to obtain the main target genes involved in CHD. We combined disease targets with the drug targets to identify common targets. The "TCM-compound-target" network was plotted using Cytoscape 3.7.2 software and a protein-protein interaction (PPI) network was constructed using the STRING database from which core targets were obtained. Gene ontology (GO) function analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed for common drug-disease targets using R Version 4.0.4 (64 bit) software. Molecular docking of core protein-small molecule ligand interaction was modeled using AutoDock software. A molecular dynamics simulation was conducted on the optimal protein-small molecule complex identified through molecular docking, using Amber18 software. The rat model for myocardial ischemia was established through pre-gavage administration of DXTMG, followed by dorsal hypodermic injection of isoprenaline. Myocardial tissues from the rats were analyzed using hematoxylin and eosin (HE) staining and Masson's trichrome staining. Relevant targets were validated by enzyme-linked immunosorbent assay (ELISA) and immunohistochemistry. 162 potential targets of DXTMG involved in CHD were identified. These included INS, ALB, IL-6 and TNF according to PPI network studies. GO enrichment analysis identified a total of 3365 GO pathways, including 3049 biological process pathways (BP) concerned with the heart and circulatory system; 109 cellular component (CC) pathways, including cation channels and membrane rafts and 207 molecular function (MF) pathways related to receptor ligands and activators. KEGG analysis revealed a total of 137 pathways (P < 0.05), including those related to AGE-RAGE signaling associated with diabetic complications, fluid shear stress and atherosclerosis. The results of molecular docking and molecular dynamics simulations demonstrated the robust binding affinity between the compounds and target proteins. Animal experiment findings indicated that, compared with the model group, the DXTMG group effectively ameliorated inflammation and fibrosis in rat myocardial tissues, reduced LDH, cTn-I, and MDA levels (P < 0.05, P < 0.01), elevated SOD and GSH-PX levels (P < 0.05), and reduced the percentage of positive area for IL-6 and TNF-α (P < 0.05). This study preliminarily suggests that DXTMG can modulate oxidative stress, inflammation response, and cardiomyocyte regulation, thereby mitigating the onset and progression of CHD.

THE METABOLIC SCORE FOR INSULIN RESISTANCE (METS-IR) PREDICTS CARDIOVASCULAR DISEASE AND ITS SUBTYPES IN PATIENTS WITH HYPERTENSION AND OBSTRUCTVE SLEEP APNEA

Objective: We aimed to evaluate the METS-IR (metabolic score for insulin resistance) index for the prediction of incident cardiovascular disease (CVD) and its subtypes (coronary artery disease and stroke) in patients with hypertension and obstructive sleep apnea (OSA). Design and method: A retrospective cohort study was conducted with 2031 adults with hypertension and OSA, participants from the Urumqi Research on Sleep Apnea and Hypertension study (UROSAH). The hazard ratios and 95% CIs (credibility interval) for CVD and its subtypes were estimated using multivariate Cox proportional hazards regression models. Results: After a median follow-up of 6.80 years (interquartile range: 5.90–8.00 years), a total of 317 (15.61%) participants developed new-onset CVD, including 198 (9.75%) incident coronary heart disease (CHD) and 119 (5.86%) incident stroke. After adjusting for as many relevant confounding factors as possible, each SD increase in METS-IR was associated with a 30% increased risk of new onset overall CVD events, a 32% increased risk of new onset CHD, and a 27% increased risk of new onset stroke. When METS-IR was assessed as tertiles, after adjustment for fully confounding factors, the highest tertiles versus the lowest tertiles were associated with a greater hazard of CVD (HR 2.05; 95% CI 1.52,-2.77), CHD (HR 1.96; 95% CI 1.35–2.84), and stroke (HR 2.24; 95% CI 1.35–3.72). The results of various subgroups and sensitivity analyses were similar. When METS-IR was added, CVD predictions were reclassified and identified more accurately than baseline models for the C-index, continuous net reclassification improvement, and integrated discrimination index. CHD and stroke showed similar results. Conclusions: METS-IR is a powerful predictor of CVD and its subtypes in patients with hypertension and OSA, which can facilitate the identification of high-risk individuals and provide individualized CVD prevention.

Incidence of coronary heart disease among remote workers: a nationwide web-based cohort study

Coronary heart disease (CHD) risk is influenced by socioeconomic status-related parameters, particularly occupation. We investigated occupational gaps in CHD risk and how the introduction of remote work moderated the observed occupational differences in CHD risk during the coronavirus disease 2019 pandemic in Japan. Data from a web-based, nationwide cohort study, comprising 17,640 workers (aged 20–65 years) with baseline data from December 2020, were analyzed. Participants were grouped by occupation as upper-level nonmanual workers (managers/professionals) and others (reference group). The primary outcome was CHD (angina pectoris/myocardial infarction) onset retrospectively confirmed at the 1-year follow-up survey. Upper-level nonmanual workers exhibited a higher CHD incidence than others (2.3% vs. 1.7%). This association was pronounced in the younger (20–49 years) population, with a significant CHD risk (adjusted risk ratio = 1.88). Upper-level nonmanual workers exhibited nearly 15% higher remote work prevalence, with a significant remote work-related CHD risk (adjusted risk ratio = 1.92). The mediating effects of remote work explained an overall disparity of 32% among the younger population. Occupational gaps in CHD incidence in Japan differ from those in Western countries, where upper-level nonmanual workers have lower cardiovascular risk. In Japan, remote work can mediate CHD risk in the younger population of upper-level nonmanual workers.

Does erectile dysfunction predict cardiovascular risk? A cross-sectional study of clinical characteristics in patients with erectile dysfunction combined with coronary heart disease.

Erectile Dysfunction (ED) is a common sexual dysfunction in men who are unable to consistently obtain and maintain sufficient penile erection to accomplish a satisfactory sexual life. ED is currently considered to be a predictor of cardiovascular disease (CVD), but few studies have observed the association between ED and clinical features of coronary heart disease (CHD). An investigation of the association between ED and clinical characteristics of CHD was carried out using a cross-sectional study design. This cross-sectional single-center study was conducted in the Department of Cardiology and included 248 patients. Associations between patients' general information, underlying disease information, coronary heart disease information, and ED severity were statistically and analytically analyzed using SPSS 26.0 software. Patients with comparable clinical characteristics were grouped together using K-means clustering. Finally, ordered logistic regression analysis was performed for general and underlying disease information. In the comparison of general data, age, education, and weekly exercise were associated with the distribution of ED severity. In the comparison of underlying disease information, the number of underlying diseases, hypertension, diabetes, hyperlipidemia, anxiety state, and depressive state were associated with the distribution of ED severity. In the comparison of CHD information, the degree of ED severity was associated with CHD subtypes, lesion sites, number of stenoses, degree of stenosis, and interventional interventions. The time from ED to CHD onset was associated with the subtypes of CHD and the number of stenoses. We clustered the main characteristics of low-risk and high-risk patients and ordered logistic regression analysis found that BMI, smoking, alcoholism, number of underlying diseases, diabetes, anxiety state, and depression state were all risk factors for CHD severity (P < 0.05); the higher the value of the above factors, the more severe the degree of CHD. Age was a protective factor for CHD severity; the younger the patient, the lower the likelihood of myocardial infarction. ED severity and the time from ED to CHD onset may be predictive of coronary heart disease severity. Reducing smoking and alcohol consumption, maintaining a healthy body weight, and regular physical activity are important in preventing CVD in ED patients.

Depression and coronary heart disease: mechanisms, interventions, and treatments.

Coronary heart disease (CHD), a cardiovascular condition that poses a significant threat to human health and life, has imposed a substantial economic burden on the world. However, in contrast to conventional risk factors, depression emerges as a novel and independent risk factor for CHD. This condition impacts the onset and progression of CHD and elevates the risk of adverse cardiovascular prognostic events in those already affected by CHD. As a result, depression has garnered increasing global attention. Despite this growing awareness, the specific mechanisms through which depression contributes to the development of CHD remain unclear. Existing research suggests that depression primarily influences the inflammatory response, Hypothalamic-pituitary-adrenocortical axis (HPA) and Autonomic Nervous System (ANS) dysfunction, platelet activation, endothelial dysfunction, lipid metabolism disorders, and genetics, all of which play pivotal roles in CHD development. Furthermore, the effectiveness and safety of antidepressant treatment in CHD patients with comorbid depression and its potential impact on the prognosis of CHD patients have become subjects of controversy. Further investigation is warranted to address these unresolved questions.

Association Between Onset Age of Coronary Heart Disease and Incident Dementia: A Prospective Cohort Study.

The association of age at coronary heart disease (CHD) onset with incident dementia remains unexplored. This study aimed to examine whether younger onset age of CHD is associated with a higher risk of incident dementia. Data were obtained from the UK Biobank. Information on the diagnosis of CHD and dementia was collected at baseline and follow-ups. Propensity score matching method and Cox proportional hazards models were used to evaluate the association between different ages at CHD onset and incident dementia. A total of 432 667 adults (mean±SD age, 56.9±8.1 years) were included, of whom 11.7% had CHD. Compared with participants without CHD, participants with CHD exhibited higher risks of developing all-cause dementia, Alzheimer's disease, and vascular dementia. More importantly, younger age at CHD onset (per 10-year decrease) was significantly associated with elevated risks of all-cause dementia (hazard ratio [HR], 1.25 [95% CI, 1.20-1.30]; P<0.001), Alzheimer's disease (HR, 1.29 [95% CI, 1.20-1.38]; P<0.001), and vascular dementia (HR, 1.22 [95% CI, 1.13-1.31]; P<0.001). After propensity score matching, patients with CHD had significantly higher risks of all-cause dementia, Alzheimer's disease, and vascular dementia than matched controls among all onset age groups, and the HRs gradually elevated with decreasing age at CHD onset. Younger onset age of CHD is associated with higher risks of incident all-cause dementia, Alzheimer's disease, and vascular dementia, underscoring the necessity to pay attention to the neurocognitive status of individuals diagnosed with CHD at younger age to conduct timely interventions to attenuate subsequent risk of incident dementia.

The value of serum lipoprotein-associated phospholipase A2, ischemia-modified albumin, and cystatin C in predicting coronary heart disease risk: a single center retrospective cohort study.

This study aims to explore the value of serum lipoprotein-associated phospholipase A2 (Lp-PLA2), ischemia-modified albumin (IMA), and cystatin C (Cys-C) in predicting the risk of coronary heart disease (CHD). Clinical data from 104 CHD patients admitted to our hospital from January 2020 to December 2022 were analyzed. Of them, 31 patients had stable angina (Group-S), 36 patients were diagnosed with unstable angina (Group-U), and 37 patients had acute myocardial infarction (Group-A). Additionally, clinical data from 35 healthy individuals undergoing physical examination during the same time period were selected as the control group. Levels of blood lipid indicators and serum Lp-PLA2, IMA, and Cys-C levels were compared between the groups. The rates of diabetes, hypertension, and smoking in Group-S, Group-U, and Group-A were significantly higher than those in the control group (p<0.05). Levels of Lp-PLA2, IMA, and Cys-C in Group-S, Group-U, and Group-A were significantly higher than those in the control group (p<0.05). Levels of Lp-PLA2, IMA, and Cys-C in Group-U and Group-A were significantly higher than those in Group-S, and Group-A had the highest value of these indexes (p<0.05). Multivariate logistic regression analysis showed that Lp-PLA2, Cys-C, and IMA were important risk factors for the onset of CHD (p<0.05). Receiver operating characteristic (ROC) curve analysis showed that the area under the curve (AUC) of Lp-PLA2, IMA, and Cys-C predicting the occurrence of CHD was 0.775, 0.835, and 0.735, respectively. The combined prediction of the three factors has an AUC of 0.920, which is higher than the individual prediction. Lp-PLA2, IMA, and Cys-C are closely related to the onset and progression of CHD. These indicators, therefore, can be used in clinical practice to predict and evaluate CHD.

Application of Mendelian randomization in the discovery of risk factors for coronary heart disease from 2009 to 2023: A bibliometric review.

Coronary heart disease (CHD) is a life-threatening condition that poses a significant risk to individuals. Mendelian randomization (MR) is an emerging epidemiological research method that offers substantial advantages in identifying risk factors for diseases. Currently, there are ongoing CHD-related MR studies. To gain comprehensive insights into the focal areas and trends of CHD-related MR research, this study utilizes bibliometrics to conduct an in-depth analysis of CHD-related MR articles published in the core database of Web of Science (WOS) from 2009 to 2023. A search was performed to identify CHD-related MR articles published between 2009 and 2023 in WOS. The data, including publication countries, research institutions, journals, citations, and keywords, were analyzed using the Bibliometrix R-4.0 software package. A total of 111 articles published in 71 journals were included in the analysis. The journal with the highest impact factor (IF) was the New England Journal of Medicine. The articles were distributed across 24 categories within the 71 journals, with the highest number of publications falling under Cardiac & Cardiovascular Systems, Medicine, General & Internal, and Genetics & Heredity. Among the articles, 57 were published in Q1 journals, 42 in Q2 journals, 9 in Q3 journals, and 2 in Q4 journals. The most frequently published journals on CHD-related MR were Frontiers in Cardiovascular Medicine, Frontiers in Genetics, and the Journal of the American College of Cardiology. A total of 963 authors participated in the 111 articles, with the majority affiliated with institutions in the United Kingdom, the US, and China. The national cooperation network revealed close collaborations between the UK and the US, as well as between the UK and China. The publication of the 111 articles involved 453 research institutions, with Oxford University, Bristol University, and Cambridge University being the most frequently involved institutions. Out of the 111 articles, only 62 were directly related to CHD and MR, with CHD being the outcome factor in 61 of them. These 61 articles investigated 47 exposure factors across eight categories. Among these factors, 10 had been studied in more than 2 articles. The findings concerning the impact of serum uric acid and omega-6 fatty acids on CHD risk were not entirely consistent. Research in MR related to CHD has been gradually gaining recognition, with an increase in both its academic credibility and collaborative efforts within this field. Indeed, MR has facilitated the identification of risk factors associated with CHD. However, the relationship between these disease risk factors and CHD requires further investigation for clarification. Future MR studies on CHD could prioritize the elucidation and validation of contentious disease risk factors, thereby paving the way for a more comprehensive exploration of additional factors contributing to the onset of CHD.

Claims data analysis of the health care utilization for patients with coronary heart disease and mental comorbidity

ObjectiveMental disorders (MD) are a common comorbidity in patients with coronary heart disease (CHD) and have a significant impact on morbidity and mortality. The aim of this study was to determine to what extent mental disorders are diagnosed as comorbidity in patients with CHD and whether adequate therapeutic measures are taken. MethodsClaims data from 4435 Cologne citizens with diagnosed CHD and a hospital stay due to CHD in 2015 were examined through a longitudinal analysis. The data were analyzed descriptively with regard to mental disorders, investigating diagnostic examinations performed, prescriptions for psychotropic drugs, and utilization of psychotherapy. We differentiated between pre-existing MD, existing in the year before the CHD-related hospital stay, and incident MD with new onset during or within six months after hospitalization. ResultsPsychodiagnostic examinations for mental disorders occurred very rarely during cardiological hospitalization (0.04%) and psychiatric/psychosomatic consultation sessions rarely (5%). The longitudinal analysis showed a high rate of pre-existing MDs (56%, n = 2490) and a new diagnosis of mental disorders in 7% (n = 302) of the patients. Within one year after inpatient treatment for CHD, psychotropic medication was prescribed in 64–67% of patients with newly diagnosed affective or neurotic, adjustment/somatoform disorder and 10–13% received outpatient psychotherapy. ConclusionThe results indicate low rates of inpatient diagnostic examinations and low rates of adequate treatment of mental disorders in patients from Cologne with CHD and new onset mental disorders. The rate of prescriptions of psychopharmacotherapy after hospitalization due to CHD exceeds that of the utilization of outpatient psychotherapy.

Vitamin D levels and &lt;i&gt;TaqI&lt;/i&gt;, &lt;i&gt;BsmI&lt;/i&gt; and &lt;i&gt;ApaI&lt;/i&gt; variants of the vitamin D receptor gene in coronary heart disease patients with disease debut at different ages

Introduction. Vitamin D deficiency may be a natural predictor of the onset of coronary heart disease (CHD) and myocardial infarction (MI) at a young age. The results of studies of the various variants association of the vitamin D receptor (VDR) gene with the risk of CHD are contradictory, which leads to the study of genetic variants of the VDR gene as predictors of the onset of the disease at the age of 45 years and younger in the Russian population. The objective was to determine the distribution of TaqI, BsmI and ApaI genotypes of the VDR gene variants and the level of vitamin D sufficiency in CHD patients with different age of onset of the disease and myocardial infarction, among residents of St. Petersburg. Methods and materials. The study included 410 CHD patients and 320 examined patients without CHD clinical signs of comparable age (p&gt;0.05). All patients with CHD underwent coronary angiography. Typing of VDR gene variants was carried out by polymerase chain reaction and subsequent restriction analysis. Determination of the level of 25(OH)D blood serum was carried out by enzyme immunoassay. Results. The level of 25(OH)D in the blood serum of CHD patients was lower than in the control group (15.61±0.52 ng/ml and 20.82±0.69 ng/ml respectively; p=0.001). Severe 25(OH)D deficiency was detected more often in CHD patients and was associated with an increased risk of CHD (23 % and 8 % respectively; p=0.001, OR=3.54 (1.88÷6.67)). The normal level of 25(OH)D sufficiency was more often detected in patients from the comparison group than in CHD patients, and was associated with a decrease of CHD risk (16 % and 4 % respectively; p=0.0002, OR=OR=0,21 (0,09÷0,48)). The presence of the aa genotype and the a allele (ApaI), the bb genotype and the b allele of the VDR gene (BsmI) is associated with an increased risk of CHD and the onset of the disease and MI at the age of 45 years and younger. Conclusions. Severe 25(OH)D deficiency is typical for CHD patients and was associated with an increased risk of CHD. The presence of the aa genotype and the a allele (ApaI), the bb genotype and the b allele of the VDR gene (BsmI) is associated with an increased risk of CHD and with the onset of the diseases and myocardial infarction at a young age. The TaqI variant of the VDR gene is not associated with the risk of CHD.

The Metabolic Score for Insulin Resistance (METS-IR) Predicts Cardiovascular Disease and Its Subtypes in Patients with Hypertension and Obstructive Sleep Apnea.

We aimed to evaluate the METS-IR (metabolic score for insulin resistance) index for the prediction of incident cardiovascular disease (CVD) and its subtypes (coronary artery disease and stroke) in patients with hypertension and obstructive sleep apnea (OSA). A retrospective cohort study was conducted with 2031 adults with hypertension and OSA, participants from the Urumqi Research on Sleep Apnea and Hypertension study (UROSAH). The hazard ratios and 95% CIs (credibility interval) for CVD and its subtypes were estimated using multivariate Cox proportional hazards regression models. After a median follow-up of 6.80 years (interquartile range: 5.90-8.00 years), a total of 317 (15.61%) participants developed new-onset CVD, including 198 (9.75%) incident coronary heart disease (CHD) and 119 (5.86%) incident stroke. After adjusting for as many relevant confounding factors as possible, each SD increase in METS-IR was associated with a 30% increased risk of new onset overall CVD events, a 32% increased risk of new onset CHD, and a 27% increased risk of new onset stroke. When METS-IR was assessed as tertiles, after adjustment for fully confounding factors, the highest tertiles versus the lowest tertiles were associated with a greater hazard of CVD (HR 2.05; 95% CI 1.52,-2.77), CHD (HR 1.96; 95% CI 1.35-2.84), and stroke (HR 2.24; 95% CI 1.35-3.72). The results of various subgroups and sensitivity analyses were similar. When METS-IR was added, CVD predictions were reclassified and identified more accurately than baseline models for the C-index, continuous net reclassification improvement, and integrated discrimination index. CHD and stroke showed similar results. METS-IR is a powerful predictor of CVD and its subtypes in patients with hypertension and OSA, which can facilitate the identification of high-risk individuals and provide individualized CVD prevention.

Development of a Nomogram That Predicts the Risk of Coronary Heart Disease in Patients With Hyperlipidemia.

Hyperlipidemia is one of the independent risk factors for the onset of coronary heart disease (CHD), and our aim is to construct a coronary risk prediction model for patients with hyperlipidemia based on carotid ultrasound in combination with other risk factors. The nomogram risk prediction model is based on a retrospective study on 820 patients with hyperlipidemia. The predictive accuracy and discriminative ability of the nomogram were determined by receiver operating characteristic (ROC) curves and calibration curves. The results were validated using bootstrap resampling and a prospective study on 39 patients with hyperlipidemia accepted at consenting institutions from 2021 to 2022. In the modeling cohort, 820 patients were included. A total of 33 variables were included in univariate logistic regression. On multivariate analysis of the modeling cohort, independent factors for survival were sex, age, hypertension, plaque score, LVEF, PLT, and HbAlc, which were all selected into the nomogram. The calibration curve for probability of survival showed good agreement between prediction by nomogram and actual observation. The area under the curve (AUC) of the nomogram model was 0.881 (95% CI 0.858∼0.905), with a sensitivity of 79% and a specificity of 81.7%. In the validation cohort, the AUC was 0.75, 95% CI (0.602∼0.906). The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy of this model were 54.16%, 80%, 81.25%, 52.17% and 64.1%. This model showed a good fitting and calibration and positive net benefits in decision curve analysis. A nomogram model for CHD risk in patients with hyperlipidemia was developed and validated using 7 predictors, which may have potential application value in clinical risk assessment, decision-making, and individualized treatment associated with CHD.

Correlation between platelet-derived growth factor-B gene polymorphism and coronary heart disease.

ObjectThe aim of the present work was to investigate the correlation of plasma platelet‐derived growth factor (PDGF)‐BB level and single nucleotide polymorphism (SNP, rs1800817 and rs2285094) of PDGF‐B gene with the onset and stability condition of coronary heart disease (CHD).MethodsTotally, 335 subjects were included in and divided into CHD (n = 247) and control group (n = 88) according to coronary angiography. Besides, the patients in the CHD group were divided into acute coronary syndrome (ACS) group (n = 165) and stable angina pectoria (SAP) group (n = 82), based on CHD stability condition. The plasma PDGF‐BB level was measured by ELISA, and the genotype of PDGF‐B was examined through qPCR assay.ResultsThe PDGF‐BB level was positively correlated with hsCRP level (r = 0.149, p < 0.05). The genotype frequencies of SNP rs1800817 and rs2285094 match Hardy–Weinberg equilibrium. There was weak linkage disequilibrium between SNP rs1800817 and rs2285094: D′ = 0.419, r 2 = 0.04, which has no correlation with CHD. There was no statistical difference in plasma PDGF‐BB level among different genotypes in rs1800817 and rs2285094. There were no differences in the plasma PDGF‐BB level among patients with any genotype of SNP rs1800817 and rs2285094, no matter how it was grouped. Logistic regression results indicated that the plasma PDGF‐BB level was the independent risk factor of CHD onset (OR = 1.003, 95% CI 1.001–1.006, p = 0.014).ConclusionsHigh plasma PDGF‐BB level is the risk factor of CHD and has correlation with instability of CHD. The plasma PDGF‐BB level change may be related to inflammatory response. PDGF‐B gene rs1800817 and rs2285094 polymorphisms are not correlated with CHD.

Quantifying the burden of lipid anomalies among adolescents in India

BackgroundThe present study’s aim is to quantify the burden of lipid abnormalities (excessive non-high-density lipoprotein (non-HDL) cholesterol and low-density lipoprotein (LDL) cholesterol) among Indian adolescents. Which has emerged as a significant covariate of coronary heart disease (CHD).MethodsThe present study aims to unearth the prevalence of any lipid anomalies, their level, and types of lipid profiles among adolescents in India using the Comprehensive National Nutrition Survey 2016–18 i.e., cross-sectional data. Descriptive and bivariate statistical analyses have been used to check the associations and significant differences between groups of individuals suffering from any type of lipid abnormalities.ResultsA total of 35,830 adolescents aged between 10 and 19 years (mean age:14.36 yrs.; SD = 2.81 for males and 14.39 yrs.; SD = 2.78 for females) were included. Roughly 77 percent of the adolescents are suffering from any lipid anomalies. Their mean lipid levels are 140.6 (SD = 32.9), 84.1 (SD = 24.8), 47.3 (SD = 10.7), and 95.3 (SD = 50.0) for total cholesterol, LDL, HDL, and triglycerides, respectively. A higher proportion of adolescents suffered from lipid anomalies among those who were overweight or obese (89%, 95% CI 85, 92) and pre-diabetics (81%, 95% CI 78, 83) compared to each of their counterparts. Furthermore, a considerable proportion of samples with vitamin A (70%, 95% CI 68, 73), D (81%, 95% CI 79, 82), and B12 deficits (73%,95% CI 72, 75), as well as zinc (77%, 95% CI 76, 77), folate (76%, 95% CI 74, 77), and iron deficits (75%,95% CI 73, 77), were suffering from any lipid anomalies. Of individuals who consume an unhealthy diet, 77% (95% CI 76, 78) of them were suffering from any lipid anomalies than others.ConclusionsThe study contends that preventing the increasing burden of lipid abnormalities among Indian adolescents is essential. Vitamin and mineral deficiencies and unhealthy dietary habits are significantly associated with high LDL and non-HDL levels. In the longer run, this might cause the early onset of hypertension, diabetes, and CHDs. Hence, appropriate interventions are needed to curtail these early onsets by primarily focusing on adolescents.

Usefulness of Novel Atherogenic Lipid Indices for the Evaluation of Metabolic Status Leading to Coronary Heart Disease in a Real-World Survey of the Japanese Population.

We evaluated the usefulness of two novel cholesterol-triglyceride subgroup (CTS) indices, CTSqlt and CTSqnt, that potentially reflect the metabolic status regarding risk of coronary heart disease (CHD) using a retrospective longitudinal study of the Japanese general population. We recruited 12,373 individuals from the annual users of our healthcare center. Among them, the first onset of CHD was recorded in 131 individuals between April 2014 and March 2020. The multivariate Cox proportional hazards regression analyses for all normalized lipid indices revealed that the CTSqnt index showed a comparable hazard ratio for the CHD outcome to non-high-density lipoprotein cholesterol (nonHDL-c) and triglycerides. The HR of the CTSqlt index was significantly lower than for CTSqnt, but still comparable to that for low-density lipoprotein cholesterol (LDL-c). In comparison with the other indices, CTSqlt is more sensitive to risk increment while the index value increases. Linear regression analyses for the CTS indices and previously known lipid indices suggest that the CTSqnt and CTSqlt indices reflect the quantity of atherogenic lipoproteins and particle size (quality) of smaller and denser LDLs, respectively. Furthermore, the CTSqnt/HDL-c index can be used as a comprehensive risk indicator that may represent the status of lipid metabolism determined by the CTSqlt and CTSqnt indices and thus may be useful for screening. The CTS indices can be used to evaluate the metabolic status of individuals, which may increase the risk of future CHD.

The features of the course of myocardial infarction in women of different age at the pre‑hospital period

Objective : to study the features of the course of myocardial infarction (MI) in women of different ages at the pre‑hospital period of disease. Materials and methods : 344 women with MI of three age groups were examined: young — up to 45 years old, middle — 45–59 years old, and elderly — 60 years and older. Results : in the majority of young and middle‑aged women, MI was the onset of coronary heart disease. Typical anginal pain was absent in 1/3 cases of young women and middle‑aged women. Delay in hospitalization was associated with both late admission (especially young women) of patients, and insufficient doctor’s alertness, including due to the peculiarities of the clinical picture. Conclusion . In 1/3 of cases MI un women develops without a typical clinical picture, which leads to delay of hospitalization.

Biochemical Assessment of Cardiovascular Risk Associated with the Duration of Antipsychotic Therapy in Patients with Schizophrenia

Background and objectives: Schizophrenia accounts for 78% of cases managed in Behavioural Sciences in Nigeria, and treatments with antipsychotic drugs may contribute to the onset of coronary heart disease (CHD) due to dyslipidaemia - associated complications. The prevention of CHD is preferable and less expensive than its management; thus, early identification and treatment may offer the possibility of reducing the devastating sequel. The aim of this study was to investigate the pattern of dyslipidaemia and cardiovascular risk (CVR) associated with duration of antipsychotic therapy inorder to improve awareness on early diagnosis, treatment and CVR reduction.&#x0D; Methods: This was a longitudinal (prospective) study involving 44 participants recruited through systematic random sampling. Each participant served as their own control. Four blood samples were obtained from each participant, starting with a baseline before the onset of antipsychotic therapy and subsequently at monthly intervals for three consecutive months from commencement of therapy. Parameters of routine and advanced lipid profiles were assayed and the atherogenic indices were calculated.&#x0D; Results: Both the routine and advanced lipid profiles werewithin reference limits at baseline. A significant increase in monthly levels was observed with dyslipidaemia noticed by the second month of antipsychotic therapy. There was an association established between the duration of therapy and a high CVR. The TC/HDL-C ratio performed better than apo B-100 and individual routine lipid profile fractions in the evaluation of CVR.&#x0D; Conclusions: Dyslipidaemia associated with high CVR may develop with antipsychotic therapy. Calculation of atherogenic indices was a good indicator of CVR.&#x0D; Keywords: Antipsychotics; Cardiovascular risk; Dyslipidaemia; Schizophrenia.

Elevated serum bilirubin may significantly reduce coronary heart disease risk in females: A prospective cohort study

Background and aimsThere is still inconsistent evidence over the protective effect of total bilirubin on the development of coronary heart disease (CHD). Therefore, we aimed to investigate the association between bilirubin in population subtypes and the risks of CHD between different gender and menstruation subgroups. Methods and resultsIn this prospective cohort study, 29,750 participants free of CHD with an average age of 47 ± 14 years were recruited at baseline; of these, 720 CHD first-attack cases were collected after 7-years of follow up. The covariate-adjusted Cox proportional hazards models were used to estimate hazard ratios (HRs) of CHD with 95% confidence intervals (CIs). The serum bilirubin concentration was quarterly stratified based on the distribution of healthy population without CHD onset. The HRs of incident CHD decreased with elevated bilirubin in females (ρ trend<0.05), but not males. In postmenopausal females, compared with the lowest quartile of total bilirubin, the adjusted HRs for the third and fourth quartiles were 0.64 (95% CI: 0.45, 0.93) and 0.59 (95% CI: 0.42, 0.86), the adjusted HRs in the third and fourth quartiles of direct bilirubin were 0.56 (0.39, 0.82) and 0.56 (0.38, 0.81), and for indirect bilirubin, corresponding HR in the highest quartile was 0.56 (0.38, 0.83). ConclusionElevated serum bilirubin was inversely associated with adjusted HRs of CHD in females, especially postmenopausal females. The relationship between elevated direct bilirubin and reduced HRs of CHD may be closer than indirect bilirubin in postmenopausal females.