Correlation of neutrophil to lymphocyte ratio to severity of coronary artery disease and in-hospital clinical outcomes in patients with acute coronary syndrome: A prospective observational study

Objective:To explore correlation of neutrophil-to-lymphocyte ratio(NLR)to severity of coronary artery disease(CAD)and in-hospital clinical outcomes in patients with acute coronary syndrome(ACS).Methods:In this prospective and observational study,we recruited 500 patients with ACS.For all the eligible patients,demographic details were collected,and laboratory parameters were evaluated.The CAD severity was evaluated in terms of the number of involved vessels.The NLR was calculated based on neutrophils and lymphocytes and the correlation of various risk factors and severity and outcome of CAD was performed.Results:77.2%of Patients was male,and 52%of the patients aged between 55-70 years.Based on the type of ACS,396 out of 500 patients had ST-elevation myocardial infarction.An ascending trend in the white blood cell levels and NLR value was noted as the severity of the ACS increased and the highest white blood cell levels and NLR was noted among classⅣpatients.The mean NLR value among the non-survivors were higher compared to the survivors(9.52±5.72 vs.4.76±2.36;P<0.01).Receiver operating curve showed that the cut-off NLR value was 5.76 with a sensitivity of 75.0%and a specificity of 77.3%.Conclusions:The NLR can be used as an independent prognostic marker in ACS.An elevated NLR value serves as a reliable predictor for short-term complications,notably in-hospital mortality.

Nε-carboxymethyl-lysine and inflammatory cytokines,markers and mediators of coronary artery disease progression in diabetes

This editorial refers to the article“Comparative analysis of Nε-carboxymethyllysine and inflammatory markers in diabetic and non-diabetic coronary artery disease patients”,published in the recent issue of the World Journal of Diabetes 2023 is based on glucose metabolism,advanced glycation end products(AGEs),inflammation and adiposity on diabetes and coronary artery disease(CAD).This study has included CAD patients who were stratified according to glycosylated hemoglobin higher than 6.5 and sex-matched.A higher prevalence of hypertension,dyslipidemia,and non-vegetarian diet were found in the diabetic group.These risk factors might influence body weight and adiposity and explain the increment of the left atrium.Although this data was not supported by the study.The diet can also explain the non-enzymatic reactions on lipids,proteins,or nucleic acids and consequently an increment of AGEs.These molecules can emit fluorescence.However,one of the non-fluorescent and most abundant AGEs is Nε-carboxymethyl-lysine(CML).Its association with coronary artery stenosis and severity in the diabetic group might suggest its role as a player in CAD progression.Thus,CML,after binding with its receptor(RAGE),can induce calcification cascade through reactive oxygen species and mitogen-activated protein kinase.Moreover,this interaction AGE-RAGE can cause activation of the transcription nuclear factor-kb and induce inflammatory cytokines.It might explain the relationship between CML and pro-inflammatory cytokines in diabetic and CAD patients.Although this is a population from one center,the determination of CML and inflammatory cytokines might improve the diagnosis of severe and progressive CAD.Future and comparative studies among glycosylated hemoglobin,CML,and other AGE levels according to diagnosis and prognosis value might modify the clinical practice.Although these molecules are irreversible,they can act through a specific receptor inducing a signal transduction that might be modulated by inhibitors,antibodies,or siRNA.Further mechanistic studies might improve the development of future preventive therapies for diabetic patients.

Role of lymphocyte-to-monocyte ratio as a predictive marker for diabetic coronary artery disease: A cross-sectional study

BACKGROUND The lymphocyte to monocyte ratio(LMR)is considered a marker of systemic inflammation in cardiovascular disease and acts as predictor of mortality in coronary artery disease.AIM To investigate the predictive role of LMR in diabetic coronary artery disease patients.METHODS This cross-sectional study was conducted at tertiary care super-specialty hospital at New Delhi,India.A total of 200 angiography-proven coronary artery disease(CAD)patients were enrolled and grouped into two categories:Group I[CAD patients with type 2 diabetes mellitus(T2DM)and glycated hemoglobin(HbA1c)levels≥6.5%],and Group II(CAD patients without T2DM and HbA1c levels<6.5%).Serum lipoproteins,HbA1c,and complete blood count of enrolled patients were analyzed using fully automatic analyzers.RESULTS The logistic regression analysis showed an odds ratio of 1.48(95%CI:1.28-1.72,P<0.05)for diabetic coronary artery disease patients(Group I)in unadjusted model.After adjusting for age,gender,diet,smoking,and hypertension history,the odds ratio increased to 1.49(95%CI:1.29-1.74,P<0.01)in close association with LMR.Further adjustment for high cholesterol and triglycerides yielded the same odds ratio of 1.49(95%CI:1.27-1.75,P<0.01).Receiver operating characteristic curve analysis revealed 74%sensitivity,64%specificity,and 0.74 area under the curve(95%CI:0.67-0.80,P<0.001),suggesting moderate predictive accuracy for diabetic CAD patients.CONCLUSION LMR showed positive association with diabetic coronary artery disease,with moderate predictive accuracy.These findings have implications for improving CAD management in diabetics,necessitating further research and targeted interventions.

Employing a random forest model to forecast the likelihood of coronary artery lesions in Kawasaki disease: a study centered on four biomarkers

Background:Kawasaki disease is an acute immune vasculitis,which is more common in children under 5 years old.Kawasaki disease mainly affects the cardiovascular system,especially the coronary arteries.Once coronary artery damage occurs,it can significantly impact the patient’s prognosis.Therefore,in some countries and regions,Kawasaki disease has become a common acquired heart disease.Methods:First,univariate analysis was conducted on each predictive factor.Then,Least Absolute Shrinkage and Selection Operator and random forest algorithms were used to screen all predictive factors,and the prediction model was evaluated using receiver operating characteristic curve,calibration curve,and Decision Curve Analysis.Results:This study,based on data from 228 Kawasaki disease patients,utilized a random forest model to identify four predictive factors:white blood cell count,creatine kinase isoenzyme MB,albumin,and neutrophil count.These factors were used to construct a prediction model,which achieved an area under the curve of 0.743.Conclusions:We developed a forest plot based on white blood cell count,creatine kinase isoenzyme MB,albumin,and neutrophil count to effectively predict the occurrence of coronary artery lesions in Kawasaki disease.

Application Effect of Blended Education Strategy Based on the Learning Pass Platform in Phase III Cardiac Rehabilitation of Patients with Coronary Artery Disease

Objective:To explore the application effect of the blended education strategy based on the Learning Pass platform in the phase III cardiac rehabilitation of patients with coronary artery disease.Methods:90 patients diagnosed with coronary artery disease in the Department of Cardiology of our hospital from January 2019 to January 2021 were selected and divided into the control group and the experimental group according to the method of randomized numerical table,with 45 cases in each group.Both the experimental group and the control group received pre-discharge cardiac rehabilitation education by conventional means.The control group received education and supervision information via WeChat after discharge,while the experimental group joined the Learning Pass platform to receive online and offline hybrid education and supervision,with online as the mainstay and offline as a supplement.The disease cognitive level,self-management skills,quality of life,medication adherence,and emotional status of the two groups were compared.Results:The disease cognitive levels in the experimental group were significantly higher than those of the control group(P<0.05);the scores of the experimental group in terms of quality of life,self-management skills,and medication adherence were significantly higher than those of the control group(P<0.05);and the scores of anxiety and depression in the experimental group were significantly lower than those of the control group(P<0.05).Conclusion:The blended education strategy based on the Learning Pass platform has a significant application effect in phase III cardiac rehabilitation of patients with coronary artery disease.It can improve patients’disease cognitive level,self-management skills,and quality of life,and provide a basis for improving patients’prognosis.

Atrial fibrillation and coronary artery disease:An integrative review focusing on therapeutic implications of this relationship

The incidence of both atrial fibrillation(AF)and coronary artery disease(CAD)increases with advancing age.They share common risk factors and very often coexist.Evidence points to an intricate relationship between atrial tissue excitability and neuronal remodeling with ischemia at the microcirculatory level.In this review,we delineated this complex relationship,identified a common theme between the two,and discussed how the knowledge of this relationship translates into a positive and meaningful impact in patient management.Recent research indicates a high prevalence of CAD among AF patients undergoing coronary angiography.Further,the incidence of AF is much higher in those suffering from CAD compared to age-matched adults without CAD underlying this reciprocal relationship.CAD adversely affects AF by promoting progression via re-entry and increasing excitability of atrial tissue as a result of ischemia and electrical inhomogeneity.AF in turn accelerates atherosclerosis via endothelial dysfunctional and inflammation and together with enhanced thrombogenicity and hypercoagulability contribute to micro and macrothrombi throughout cardiovascular system.In a nutshell,the two form a vicious cycle wherein one disease promotes the other.Most AF recommendations focuses on rate/rhythm control and prevention of thromboembolism.Very few studies have discussed the importance of unmasking coexistent CAD and how the treatment of underlying ischemia will impact the burden of AF in these patients.Inflammation and endothelial dysfunction remain central to both disease processes and form a handsome therapeutic target in the management of the two diseases.The relationship between AF and CAD is complex and much more than mere coincidence.The two diseases share common risk factor and pathophysiology.Hence,it is impractical to treat them in isolation.Accordingly,we share the implications of managing underlying ischemia and inflammation to positively impact and improve quality of life among AF patients.

Comparative analysis of Nε-carboxymethyl-lysine and inflammatory markers in diabetic and non-diabetic coronary artery disease patients

BACKGROUND Coronary artery disease(CAD)is a major cause of death worldwide,and India contributes to about one-fifth of total CAD deaths.The development of CAD has been linked to the accumulation of Nε-carboxymethyl-lysine(CML)in heart muscle,which correlates with fibrosis.AIM To assess the impact of CML and inflammatory markers on the biochemical and cardiovascular characteristics of CAD patients with and without diabetes.METHODS We enrolled 200 consecutive CAD patients who were undergoing coronary angiography and categorized them into two groups based on their serum glycosylated hemoglobin(HbA1c)levels(group I:HbA1c≥6.5;group II:HbA1c<6.5).We analyzed the levels of lipoproteins,plasma HbA1c levels,CML,interleukin-6(IL-6),tumor necrosis factor alpha(TNF-α),and nitric oxide.RESULTS Group I (81 males and 19 females) patients had a mean age of 54.2 ± 10.2 years, with a mean diabetes duration of4.9 ± 2.2 years. Group II (89 males and 11 females) patients had a mean age of 53.2 ± 10.3 years. Group I had moresevere CAD, with a higher percentage of patients with single vessel disease and greater stenosis severity in the leftanterior descending coronary artery compared to group II. Group I also exhibited a larger left atrium diameter.Group I patients exhibited significantly higher levels of CML, TNF-α, and IL-6 and lower levels of nitric oxide ascompared with group II patients. Additionally, CML showed a significant positive correlation with IL-6 (r = 0.596,P = 0.001) and TNF-α (r = 0.337, P = 0.001) and a negative correlation with nitric oxide (r=-4.16, P = 0.001). Oddsratio analysis revealed that patients with CML in the third quartile (264.43-364.31 ng/mL) were significantlyassociated with diabetic CAD at unadjusted and adjusted levels with covariates.

Real-world five-year outcomes of FlexyRap®cobalt-chromium rapamycin-eluting stents with biodegradable polymer in patients with de-novo coronary artery disease

BACKGROUND The use of biodegradable polymer drug-eluting stents(BP-DES)has been proven to minimize restenosis and stent thrombosis.The current post-marketing monitoring was observed at the 5-year clinical outcomes of individuals who had been treated with FlexyRap®DES in the real world.AIM To assess the safety and effectiveness of FlexyRap®DES at the 5-year follow-up in real-world settings.METHODS Findings from a retrospective,multi-center,observational,post-market clinical follow-up study of patients treated with FlexyRap®DES for de novo coronary artery disease(CAD)were reported.During the 12-mo follow-up,the primary endpoint was target lesion failure,which was defined as the composite of cardiovascular death, target vessel myocardial infarction(TV-MI), and clinically driven target lesion revascularization.RESULTS The data of 500 patients received with FlexyRap®DES was obtained at the completion of the surveillance timeline of 5-year.After the implantation of FlexyRap®DES,the device success rate was 100%.Adverse events that led to major bleeding,permanent disability,or death were not experienced in the patients.The major adverse cardiac event rate at 12-mo,3-year,and 5-year follow-up was 1(0.2%),0(0%),and 1(0.2%)respectively with 0(0%)cardiovascular death,2(0.4%)TV-MI,and 0(0%)TLR compositely.Furthermore,late stent thrombosis was found in 2(0.4%)patients at the follow-up of 12-mo,very late stent thrombosis was observed in 2 patients(0.4%)at 3-year follow-up.CONCLUSION FlexyRap®DES was proved to be safe and efficacious in real-world patients with de novo CAD,indicating a lowered rate of cardiac events and stent thrombosis at 5-year follow-up.

A Robust Tuned Random Forest Classifier Using Randomized Grid Search to Predict Coronary Artery Diseases

Coronary artery disease(CAD)is one of themost authentic cardiovascular afflictions because it is an uncommonly overwhelming heart issue.The breakdown of coronary cardiovascular disease is one of the principal sources of death all over theworld.Cardiovascular deterioration is a challenge,especially in youthful and rural countries where there is an absence of humantrained professionals.Since heart diseases happen without apparent signs,high-level detection is desirable.This paper proposed a robust and tuned random forest model using the randomized grid search technique to predictCAD.The proposed framework increases the ability of CADpredictions by tracking down risk pointers and learning the confusing joint efforts between them.Nowadays,the healthcare industry has a lot of data but needs to gain more knowledge.Our proposed framework is used for extracting knowledge from data stores and using that knowledge to help doctors accurately and effectively diagnose heart disease(HD).We evaluated the proposed framework over two public databases,Cleveland and Framingham datasets.The datasets were preprocessed by using a cleaning technique,a normalization technique,and an outlier detection technique.Secondly,the principal component analysis(PCA)algorithm was utilized to lessen the feature dimensionality of the two datasets.Finally,we used a hyperparameter tuning technique,randomized grid search,to tune a random forest(RF)machine learning(ML)model.The randomized grid search selected the best parameters and got the ideal CAD analysis.The proposed framework was evaluated and compared with traditional classifiers.Our proposed framework’s accuracy,sensitivity,precision,specificity,and f1-score were 100%.The evaluation of the proposed framework showed that it is an unrivaled perceptive outcome with tuning as opposed to other ongoing existing frameworks.

Role of ADAMTS-5 Expression in the Prognosis of Patients with Coronary Artery Disease: A Single Retrospective Analysis

This study explores the predictive value of plasma a disintegrin and metalloproteinase with thrombospondin motifs 5 (ADAMTS-5) levels for major adverse cardiovascular events (MACE) in patients with coronary artery disease (CAD). 595 patients admitted to our hospital were selected. Initially, the serum ADAMTS-5 levels of subjects were analyzed. Subsequently, a receiver operating characteristic (ROC) curve was constructed. Furthermore, the serum levels of ADAMTS-5 were assessed in patients, and based on CAD severity, they were categorized into stable angina pectoris (SAP), unstable angina (UA), non-ST-segment elevation myocardial infarction (NSTEMI), and ST-segment elevation myocardial infarction (STEMI) groups, with the aim of examining the relationship between ADAMTS-5 levels and CAD severity. Differences in clinical outcomes between patients with high and low levels of ADAMTS-5 were analyzed during the follow-up period. The study found that the serum levels of ADAMTS-5 were significantly higher in the group of patients with coronary artery disease (CAD) compared to the group without CAD, indicating its potential as a diagnostic marker for CAD. The ADAMTS-5 levels in the serum of STEMI patients were higher than those with SAP, while NSTEMI patients showed higher levels of ADAMTS-5 than the UA group. There was a positive correlation between serum ADAMTS-5 levels and the syntax score in CAD patients, suggesting a potential association with adverse clinical outcomes in patients with acute myocardial infarction (AMI). This study indicates that ADAMTS-5 shows promise as a biomarker for CAD and highlights the need for further research and validation.

Plant-based diet and its effect on coronary artery disease:A narrative review

Coronary artery disease(CAD),a primary component of cardiovascular diseases,is one of the top contributors to mortality rates worldwide.In 2021,dietary risk was estimated to be attributed to 6.58 million cardiovascular deaths.Plant-based diets(PBDs),which encourage higher consumption of plant foods and lower intake of animal-based foods,have been shown to reduce the risk of CAD by up to 29% when compared to non-vegetarian diets in a meta-analysis.This article aims to summarize the array of PBDs and compare them with conventional Western diets that include meat.We review the various proposed mechanisms for how the bioactive nutrients of PBDs aid in preventing atherosclerosis and CAD events,as well as other cardiac diseases.We conducted a detailed search of PubMed using our exclusive search strategy using the keywords plant-based diet,vegan diet,phytosterols,CAD,myocardial ischemia,and atherosclerosis.A total of 162 pertinent articles published within the past decade were identified for qualitative synthesis.To ensure the accuracy and reliability of our review,we included a total of 55 full-text,peer-reviewed articles that demonstrated the effects of plant-based diets on CAD and were written in English.We excluded animal studies,in vitro or molecular studies,and non-original data like editorials,letters,protocols,and conference abstracts.In this article,we emphasize the importance of dietary interventions,such as PBDs,to prevent CAD and their benefits on environmental sustainability.Integrating plant foods and whole grains into one's daily eating habits leads to an increase in the intake of nutrient-rich foods while reducing the consumption of processed food could not only prevent millions of premature deaths but also provide prevention against many chronic gastrointestinal and metabolic diseases.

Application Effect of Blended Education Strategy Based on the Learning Pass Platform in Phase III Cardiac Rehabilitation of Patients with Coronary Artery Disease

Objective:To explore the application effect of the blended education strategy based on the Learning Pass platform in the phase III cardiac rehabilitation of patients with coronary artery disease.Methods:90 patients diagnosed with coronary artery disease in the Department of Cardiology of our hospital from January 2019 to January 2021 were selected and divided into the control group and the experimental group according to the method of randomized numerical table,with 45 cases in each group.Both the experimental group and the control group received pre-discharge cardiac rehabilitation education by conventional means.The control group received education and supervision information via WeChat after discharge,while the experimental group joined the Learning Pass platform to receive online and offline hybrid education and supervision,with online as the mainstay and offline as a supplement.The disease cognitive level,self-management skills,quality of life,medication adherence,and emotional status of the two groups were compared.Results:The disease cognitive levels in the experimental group were significantly higher than those of the control group(P<0.05);the scores of the experimental group in terms of quality of life,self-management skills,and medication adherence were significantly higher than those of the control group(P<0.05);and the scores of anxiety and depression in the experimental group were significantly lower than those of the control group(P<0.05).Conclusion:The blended education strategy based on the Learning Pass platform has a significant application effect in phase III cardiac rehabilitation of patients with coronary artery disease.It can improve patients’disease cognitive level,self-management skills,and quality of life,and provide a basis for improving patients’prognosis.

Association of arterial stiffness with coronary flow reserve in revascularized coronary artery disease patients

AIM: To investigate the association of arterial wave reflection with coronary flow reserve(CFR) in coronary artery disease(CAD) patients after successful revascularization.METHODS: We assessed 70 patients with angiographically documented CAD who had undergone recent successful revascularization. We measured(1) reactive hyperemia index(RHI) using fingertip peripheral arterial tonometry(RH-PAT Endo-PAT);(2) carotid to femoral pulse wave velocity(PWVc-Complior);(3) augmentation index(AIx), the diastolic area(DAI%) and diastolic reflection area(DRA) of the central aortic pulse wave(Arteriograph);(4) CFR using Doppler echocardiography; and(5) blood levels of lipoprotein-phospholipase A2(LpPLA2).RESULTS: After adjustment for age, sex, blood pressure parameter, lipidemic, diabetic and smoking status, we found that coronary flow reserve was independently related to AIx(b =-0.38, r = 0.009), DAI(b = 0.36, P = 0.014), DRA(b = 0.39, P = 0.005) and RT(b =-0.29,P = 0.026). Additionally, patients with CFR < 2.5 had higher PWVc(11.6 ± 2.3 vs 10.2 ± 1.4 m/s, P = 0.019), SBPc(139.1 ± 17.8 vs 125.2 ± 19.1 mm Hg, P = 0.026), AIx(38.2% ± 14.8% vs 29.4% ± 15.1%, P = 0.011) and lower RHI(1.26 ± 0.28 vs 1.50 ± 0.46, P = 0.012), DAI(44.3% ± 7.9% vs 53.9% ± 6.7%, P = 0.008), DRA(42.2 ± 9.6 vs 51.6 ± 11.4, P = 0.012) and Lp PLA2(268.1 ± 91.9 vs 199.5 ± 78.4 ng/m L, P = 0.002) compared with those with CFR ≥ 2.5. Elevated Lp PLA2 was related with reduced CFR(r =-0.33, P = 0.001), RHI(r =-0.37, P < 0.001) and DRA(r =-0.35, P = 0.001) as well as increased PWVc(r = 0.34, P = 0.012) and AIx(r = 0.34, P = 0.001). CONCLUSION: Abnormal arterial wave reflections are related with impaired coronary flow reserve despite successful revascularization in CAD patients. There is a common inflammatory link between impaired aortic wall properties, endothelial dysfunction and coronary flow impairment in CAD.

Relationship of lipid and lipoprotein ratios with coronary severity in patients with new on-set coronary artery disease complicated with type 2 diabetics

BackgroundDiabetes mellitus (DM ) 与冠的动脉疾病(CAD ) 被联系前进。尽管以前的研究与 CAD 表明了类脂化合物和脂蛋白比率的协会，没有数据有关在类脂化合物和脂蛋白比率和在糖尿病患者的新发作 CAD 的严厉之间的关系当前是可得到的。因此，现在的学习的目的有新发作 CAD 的 380 个连续 T2DM 病人是在与类型 2 DM (T2DM ).MethodsA 在病人预言 CAD 的严厉调查类脂化合物和脂蛋白比率的实用性全部的在现在的学习被注册。然后，他们根据 Gensini 被分类进三个组分数(GS ) tertiles。在类脂化合物和脂蛋白比率之间的关系当前使用了， GS 与到 apoA 的 apolipoprotein B 是自然转变木头的 GS ( lnGS )的 investigated.ResultsPositive 关联--我比率( apoB/apoA-I )， non-high-density 脂蛋白胆固醇到 apoA --我比率( non-HDL-C/apoA-I )，并且低密度的脂蛋白胆固醇到 apoA --我比率( LDL-C/apoA-I )被发现( r = 0.18 ， 0.13 ， 0.12 ，分别地所有 P &#x0003c ；0.05 ) 。Multivariate 逻辑分析为高 GS 作为最强壮的预言者显示了 apoB/apoA-I (或 = 5.67， 95% CI：1.45-23.92， P = 0.003 ) 。在操作 apoB/apoA-I 的典型曲线的接收装置下面的区域是 0.63 (95% CI：0.60-0.66， P = 0.001 ) 为预言高 GS。apoB/apoA-I 的最佳的截止值预言高 GS 与 61.2% 的敏感和 62.1%.ConclusionsLipid 和脂蛋白比率的特性是 0.72 可能为在 T2DM 病人预言新发作 CAD 的严厉是有用的，并且 apoB/apoA-I 在这张人口作为最重要的预言者出现。

Mid-ventricular hypertrophic obstructive cardiomyopathy(MVHOCM) complicated with coronary artery disease:a case report

Mid-ventricular hypertrophic obstructive cardiomyopathy (MVHOCM) is a rare type ofcardiomyopathy that can be accompanied by apical aneurysm.We presented here a case report of MVHOCM with cornary artery disease.The sixty-four years old man was sent to hospital because ofventricular tachycardia.Large inversion T wave was showed on electrocardiography in the presence of abnormal coronary arteries and normal cardiac enzyme.Echocardiography showed an hourglass appearance of the left ventricle with an aneurysm in the apex and a pressure gradient between the outflow tract of left ventricle and the middle of the left ventricle was revealed by left-heart catheterization.

Macroangiopathic Complications and Associated Factors in Type 2 Diabetics at CNHU-HKM

Nowadays, chronic clinical manifestations of diabetemellitus constitute an important disease and a huge public health issue. Aim: Study the macroangiopathic complications in type 2 diabetics. Method: It is a descriptive cross-sectional study with an analytical aim covering the period from January 2019 to December 31, 2021 in the Endocrinology, Metabolism and Nutrition clinic of the National Teaching Hospital Hubert Koutoukou Maga (CNHU-HKM) We thus identified 150 type 2 diabetic patients. Results: The prevalence of macroangiopathy was 60% with 11.3% for stroke, 28.6% for acute coronary syndrom, 4% for cervical macroangiopathy, and 46.97% ± 25.36% for obliterating arteriopathy of the lower limbs (OALL). The mean age of the patients was 57.69 ± 1.77 years with a sex ratio 1. The duration of diabetes progression was greater than 10 years for more than half of the patients 52.6%. The main associated cardiovascular risk factors were arterial high blood pressure (64.7%), family history of diabetes (33.7%), obesity with 20.0%. The death rate was 7.3%. Conclusion: Macroangiopathy’s mortality rate of in type 2 diabetics is high. Prevention remains the best treatment and involves screening for factors associated with macroangiopathy.

Myosteatosis is associated with coronary artery calcification in patients with type 2 diabetes

BACKGROUND Myosteatosis,rather than low muscle mass,is the primary etiologic factor of sarcopenia in patients with type 2 diabetes mellitus(T2DM).Myosteatosis may lead to a series of metabolic dysfunctions,such as insulin resistance,systematic inflammation,and oxidative stress,and all these dysfunctions are closely associated with the acceleration of T2DM and atherosclerosis.AIM To investigate the association between myosteatosis and coronary artery calcification(CAC)in patients with T2DM.METHODS Patients with T2DM,who had not experienced major cardiovascular events and had undergone both abdominal and thoracic computed tomography(CT)scans,were included.The mean skeletal muscle attenuation was assessed using abdominal CT images at the L3 level.The CAC score was determined from thoracic CT images using the Agatston scoring method.Myosteatosis was diagnosed according to Martin’s criteria.Severe CAC(SCAC)was defined when the CAC score exceeded 300.Logistic regression and decision tree analyses were performed.RESULTS A total of 652 patients with T2DM were enrolled.Among them,167(25.6%)patients had SCAC.Logistic regression analysis demonstrated that myosteatosis,age,duration of diabetes,cigarette smoking,and alcohol consumption were independent risk factors of SCAC.Myosteatosis was significantly associated with an increased risk of SCAC(OR=2.381,P=0.003).The association between myosteatosis and SCAC was significant in the younger patients(OR=2.672,95%CI:1.477-4.834,P=0.002),but not the older patients(OR=1.456,95%CI:0.863-2.455,P=0.188),and was more prominent in the population with lower risks of atherosclerosis.The decision tree analyses prioritized older age as the primary variable for SCAC.In older patients,cigarette smoking was the main contributing factor for SCAC,while in younger patients,it was myosteatosis.CONCLUSION Myosteatosis is a novel risk factor for atherosclerosis in patients with T2DM,especially in the population with younger ages and fewer traditional risk factors.

Coronary Artery Patterns in Diabetic Patients Undergoing Diagnostic Coronary Angiography-Data from a Major Cardiac Center in Yemen

Background: Diabetes mellitus (DM) is independently associated with an increased risk of cardiovascular mortality and morbidity, including coronary artery disease (CAD). CAD is a shared burden disease and the leading cause of death in developed and developing countries. We aimed to assess the angiographic patterns of coronary arteries in patients with DM in a developing country (Yemen) as the first study. Methods: This study is a cross-sectional, prospective, observational study that includes a total of 250 patients who were admitted for elective diagnostic coronary angiography. Results: 96 (38.4%) patients were diabetics;68% were male;mean age was 57 ± 11 years. The incidence of three-vessel disease was 31.2% of patients. Considering the severity of lumen occlusion, (11.2%) of patients had non-significant lesions, (37.6%) of patients had significant lesions, and (32%) had total occlusive lesions. Lesions were of LAD in 76%, RCA in 60%, and LCX in 52% of the population. Among diabetics, two and 3-vessel diseases (33.3% vs. 20.8% & 50% vs. 19.5%, P = 0.001), left main lesion (10.4% vs. 2.6%, P = 0.012), significant stenosis (41.7% vs. 35.1%, P = 0.032), total occlusion of coronary arteries (43.8% vs. 19.5%, P = 0.032) and type C lesion (66.7% vs. 35.1%, P = 0.010) were more frequent than non-DM patients. Conclusion: The burden of significant and severe coronary lesions is more common among DM, which may be the major cause of morbidity and mortality of DM in developing countries.

PCI compared with medical therapy in elderly patients with chronic symptomatic coronary artery disease

Objective The aim of this study was to assess quality of results of elderly patients with coronary disease after medical or revascularisation therapy. Methods In this study, we enrolled 103 patients aged 75 years or older with chronic angina in which 47 patients were assigned coronary angiography and revascularisation and 56 patients with optimised medical therapy. The primary endpoint was quality of life after 6 months, as assessed by questionnaire and the presence of major adverse cardiac events (death, non fatal myocardial infarction, or hospital admission for acute coronary syndrome with or without the need for revascularisation). Results After 6 months follow up, angina severity decreased and measures of quality of life increased in both treatment groups( P <0.05 ); however, these improvements were significantly greater after revascularisation( P <0.01 ). Major adverse cardiac events occurred in 30 ( 53.6% ) of patients in the medical group and 9 ( 19.1% ) in the invasive group ( P <0.01 ).Conclusions Patients aged 75 years or older with angina benefit more from revascularisation than from optimised medical therapy in terms of symptom relief and quality of life. Therefore, these patients should be offered invasive assessment despite their high risk profile followed by revascularisation if feasible.

Discovering hidden patterns:Association rules for cardiovascular diseases in type 2 diabetes mellitus

BACKGROUND It is increasingly common to find patients affected by a combination of type 2 diabetes mellitus(T2DM)and coronary artery disease(CAD),and studies are able to correlate their relationships with available biological and clinical evidence.The aim of the current study was to apply association rule mining(ARM)to discover whether there are consistent patterns of clinical features relevant to these diseases.ARM leverages clinical and laboratory data to the meaningful patterns for diabetic CAD by harnessing the power help of data-driven algorithms to optimise the decision-making in patient care.AIM To reinforce the evidence of the T2DM-CAD interplay and demonstrate the ability of ARM to provide new insights into multivariate pattern discovery.METHODS This cross-sectional study was conducted at the Department of Biochemistry in a specialized tertiary care centre in Delhi,involving a total of 300 consented subjects categorized into three groups:CAD with diabetes,CAD without diabetes,and healthy controls,with 100 subjects in each group.The participants were enrolled from the Cardiology IPD&OPD for the sample collection.The study employed ARM technique to extract the meaningful patterns and relationships from the clinical data with its original value.RESULTS The clinical dataset comprised 35 attributes from enrolled subjects.The analysis produced rules with a maximum branching factor of 4 and a rule length of 5,necessitating a 1%probability increase for enhancement.Prominent patterns emerged,highlighting strong links between health indicators and diabetes likelihood,particularly elevated HbA1C and random blood sugar levels.The ARM technique identified individuals with a random blood sugar level>175 and HbA1C>6.6 are likely in the“CAD-with-diabetes”group,offering valuable insights into health indicators and influencing factors on disease outcomes.CONCLUSION The application of this method holds promise for healthcare practitioners to offer valuable insights for enhancing patient treatment targeting specific subtypes of CAD with diabetes.Implying artificial intelligence techniques with medical data,we have shown the potential for personalized healthcare and the development of user-friendly applications aimed at improving cardiovascular health outcomes for this high-risk population to optimise the decision-making in patient care.