The Role of Electrocardiogram DETERMINE Score in Prediction of Coronary Artery Disease Severity

Background: A major cause of mortality and disability on a global scale is myocardial infarction (MI). These days, the most reliable way to detect and measure MI is via cardiovascular magnetic resonance imaging (CMR). Aims and Objectives: To evaluate the effectiveness of the Electrocardiogram DETERMINE Score in predicting the severity of coronary artery disease (CAD) in patients who have experienced an Acute Myocardial Infarction (AMI) & to assess improvements in left ventricular function at 6 months following coronary artery bypass grafting (CABG). Subjects and Methods: This Observational cohort study was done at the Cardiology and Radiology department and cardiac surgery department, Al-Azhar university hospitals and Helwan University hospital. The study involved 700 cases who patients diagnosed with Acute Myocardial Infarction and fulfilled specific criteria for selection. Result: There was highly statistically significant relation between Myocardial infarction size and ECG Marker Score as mean infarct size elevated When the number of ECG markers increased. There was a highly statistically significant relation between myocardial infarct segments, myocardial infarction size and improvement of cardiac function 6 months post-CABG. Conclusion: The study found that larger myocardial infarctions corresponded with higher DETERMINE Scores. It concluded that an ECG-based score better estimates infarct size than LVEF alone. Additionally, there was a significant statistical correlation between the size and segmentation of myocardial infarction and better cardiac function six months after CABG.

Lower Extremity Arterial Disease in Patients with Type 2 Diabetes: Prevalence and Associated Factors at the Libreville University Hospital Center

Introduction: Lower extremity arterial disease in diabetic patients has distinct characteristics. Objectives: To study the hospital frequency of lower extremity arterial disease and identify associated factors in diabetic patients at the Libreville University Hospital Center (CHUL). Materials and Methods: This was a cross-sectional study conducted from July 1, 2023, to January 31, 2024, in the endocrinology department of the CHUL. All patients with type 2 diabetes over the age of 18 admitted to this department, regardless of the reason for hospitalization, who provided informed consent, were included. Socio-demographic data and cardiovascular risk factors were recorded. Personal and family cardiovascular history and functional symptoms were investigated. The physical examination included measuring blood pressure, heart rate, and the ankle-brachial index in all patients. Results: A total of 219 patients were included, of whom 75 had lower extremity arterial disease, representing a prevalence of 34.24%. It was compensated in 28 cases (37.33%) and decompensated in 39 patients (52%). In eight cases (10.67%), there was critical chronic ischemia. Cardiovascular risk factors associated with diabetes were physical inactivity (89.5%), hypertension (55.25%), overweight (49.77%), obesity (22.84%), and smoking (10.04%). In multivariate analysis, only hypertension (OR = 2.09;95% CI: 1.05 - 4.17;p = 0.035) and LDL cholesterol (OR = 2.75;95% CI: 1.10 - 6.85;p = 0.03) were significantly associated with lower extremity arterial disease in diabetics at the University Hospital of Libreville. Conclusion: Lower extremity arterial disease is common in diabetic patients at the University Hospital of Libreville. It is often asymptomatic, thus requiring systematic screening.[-rId11-]

Risk Stratification and Prognosis of Pulmonary Arterial Hypertension Associated with Congenital Heart Disease

Background:Current guidelines for managing pulmonary arterial hypertension(PAH)recommend a risk strati-fication approach.However,the applicability and accuracy of these strategies for PAH associated with congenital heart disease(PAH-CHD)require further validation.This study aims to validate the reliability and predictive accuracy of a simplified stratification strategy for PAH-CHD patients over a three-year follow-up.Additionally,new prognostic variables are identified and novel risk stratification methods are developed for assessing and managing PAH-CHD patients.Methods:This retrospective study included 126 PAH-CHD patients.Clinical and biochemical variables across risk groups were assessed using Kruskal-Wallis and Fisher’s exact tests.Indepen-dent risk factors were identified using ordered logistic regression,while Kaplan-Meier and Cox proportional hazards regression analyses evaluated their impact on all-cause mortality.A new stratification model for the PAH-CHD population was constructed based on these analyses.Results:Significant survival differences across stratified risk groups were observed(p<0.001),validating the effectiveness of the simplified risk stratification method in PAH-CHD patients.Prothrombin activity was a strong independent predictor of adverse outcomes of PAH-CHD patients(Hazard ratio 0.95,p<0.001,C-index 0.70).A model combining N-terminal pro-brain natriuretic peptide,prothrombin activity,albumin,and right atrial area achieved an area under the curve of 0.89 and a C-index of 0.85.Conclusions:The simplified risk stratification method is applicable to PAH-CHD patients.Prothrombin activity is a strong independent predictor of adverse outcomes.A comprehensive risk stratification approach,incorporating both established and novel biomarkers,enhances accessibility and offers predictive efficacy during follow-up for PAH-CHD patients,comparable to established models.

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.

Early diagnostic value of carotid artery ultrasound parameters combined with epicardial adipose layer thickness in coronary heart disease

BACKGROUND Coronary heart disease is associated with coronary atherosclerosis indicated by carotid intima-media thickness(CIMT)thickening and altered vascular elasticity.The epicardial adipose layer can secrete proinflammatory factors that promote the formation of coronary atherosclerosis.Thus,the epicardial fat layer thickness(EAT)may also predict coronary heart disease.AIM To determine the role of common carotid artery ultrasound parameters and EAT in the early diagnosis of coronary artery disease.METHODS Based on coronary angiography,patients with newly suspected coronary heart disease were divided into case(n=107)and control(n=41)groups.The carotid ultrasound parameters,including vascular stiffness(β),elastic coefficient(EP),pulse wave conduction velocity(PWV-β),CIMT,and EAT were compared between the case and control groups and among patients with different lesion numbers in the case group.Pearson correlation was used to evaluate the early diagnostic value of EAT,common carotid artery elasticity,and CIMT for coronary heart disease.RESULTS EP,β,PWV-β,CIMT,and EAT were significantly higher in the case group compared with the levels in the control group(all P<0.001).In the case group,lesions were detected in one vessel in 34 patients,two vessels in 38 patients,and three vessels in 35 patients.Within the case group,β,EP,PWV-β,CIMT,and EAT levels significantly increased with an increased number of lesions(all P<0.001).EAT positively correlated withβ,EP,PWV-β,and CIMT(all P<0.01).The area under the curve for diagnosing coronary heart disease using EAT combined with CIMT and carotid elasticity was 0.893,and the sensitivity and specificity were 0.890 and 0.837.CONCLUSION EAT correlated well with changes in carotid artery elasticity and CIMT in patients with coronary heart disease.The combination of EAT,carotid artery elasticity,and CIMT facilitates the early diagnosis of coronary heart disease.

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.

Coronary artery disease and heart failure:Late-breaking trials presented at American Heart Association scientific session 2023

The late-breaking science presented at the 2023 scientific session of the American Heart Association paves the way for future pragmatic trials and provides meaningful information to guide management strategies in coronary artery disease and heart failure(HF).The dapagliflozin in patient with acute myocardial infarction(DAPA-MI)trial showed that dapagliflozin use among patients with acute MI without a history of diabetes mellitus or chronic HF has better cardiometabolic outcomes compared with placebo,with no difference in cardiovascular outcomes.The MINT trial showed that in patients with acute MI and anemia(Hgb<10 g/dL),a liberal transfusion goal(Hgb≥10 g/dL)was not superior to a restrictive strategy(Hgb 7-8 g/dL)with respect to 30-day all-cause death and recurrent MI.The ORBITA-2 trial showed that among patients with stable angina and coronary stenoses causing ischemia on little or no antianginal therapy,percutaneous coronary intervention results in greater improvements in anginal frequency and exercise times compared with a sham procedure.The ARIES-HM3 trial showed that in patients with advanced HF who received a HeartMate 3 levitated left ventricular assist device and were anticoagulated with a vitamin K antagonist,placebo was noninferior to daily aspirin with respect to the composite endpoint of bleeding and thrombotic events at 1 year.The TEAMMATE trial showed that everolimus with low-dose tacrolimus is safe in children and young adults when given≥6 months after cardiac transplantation.Providing patients being treated for HF with reduced ejection fraction(HFrEF)with specific out-of-pocket(OOP)costs for multiple medication options at the time of the clinical encounter may reduce‘contingency planning’and increase the extent to which patients are taking the medications decided upon.The primary outcome,which was cost-informed decisionmaking,defined as the clinician or patient mentioning costs of HFrEF medication,occurred in 49%of encounters with the checklist only control group compared with 68%of encounters in the OOP cost group.

Proprotein convertase subtilisin/kexin type 9 inhibitors in peripheral artery disease:A review of efficacy,safety,and outcomes

Peripheral artery disease(PAD)is a common condition characterized by atherosclerosis in the peripheral arteries,associated with concomitant coronary and cerebrovascular diseases.Proprotein convertase subtilisin/kexin type 9(PCSK9)inhibitors are a class of drugs that have shown potential in hypercholesterolemic patients.This review focuses on the efficacy,safety,and clinical outcomes of PCSK9 inhibitors in PAD based on the literature indexed by PubMed.Trials such as FOURIER and ODYSSEY demonstrate the efficacy of evolocumab and alirocumab in reducing cardiovascular events,offering a potential treatment option for PAD patients.Safety evaluations from trials show few adverse events,most of which are injection-site reactions,indicating the overall safety profile of PCSK9 inhibitors.Clinical outcomes show a reduction in cardiovascular events,ischemic strokes,and major adverse limb events.However,despite these positive findings,PCSK9 inhibitors are still underutilized in clinical practice,possibly due to a lack of awareness among care providers and cost concerns.Further research is needed to establish the long-term effects and cost-effectiveness of PCSK9 inhibitors in PAD 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.

Old, the new, more or less and the conundrum for biomarkers in cardiovascular diseases?

Biomarkers are critical for diagnostic,monitoring and management of cardio-vascular diseases.Opportunities to improve how biomarkers are used are important.This editorial on biomarkers in coronary artery disease provides commentary on the study as well as broad benchmarks on what make ideal bio-markers.Biomarker discovery is difficult and opportunities to expand and improve their use should be encouraged.

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.

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.

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.

Analysis of the Necessity of Stellate Ganglion Block after Anesthesia to Reduce the Risk of Cardiovascular Accidents in Coronary Heart Disease

Objective:To adjust the sympathetic nervous system through preoperative ultrasound-guided stellate ganglion block and to explore and analyze the situation and necessity of postanesthesia stellate ganglion block to reduce the risk of cardiovascular accidents in coronary heart disease.Methods:80 patients with cardiovascular risk factors in Songshan Hospital of Chifeng were selected,and the time span would cover from October 2022 to June 2024,with 80 cases of elective surgery and combined coronary heart disease.They will be randomly divided into blocked groups and conventional groups,40 cases each.Conventional block was performed after anesthesia in patients in the conventional group,and planetary ganglion block was performed after anesthesia in patients in the blocked group.The cardiovascular responses of patients in the two groups were observed,and the number of intraoperative cardiovascular active drugs and the occurrence of cardiovascular adverse events were recorded in patients in the two groups.Results:Analysis of the mean arterial pressure(MAP)and heart rate(HR)values of the two groups of patients at the time points before anesthesia(T0),the moment of tracheal intubation(T1),the moment of surgical skin cutting(T2),the end of the operation(T3),and the 6h postoperative period(T4)showed that the MAP and HR of the blocked group were lower than those of the conventional group at the time points of T1 to T4,and the differences in MAP and HR values of the two groups in different time points compared with the T0 time point were statistically significant(P<0.05)and the differences in cardiovascular response(P<0.05)were statistically significant(P<0.05).significance(P<0.05).The number of intraoperative cardiovascular active drugs used in the blocked group was shorter than that in the conventional group,and the incidence of cardiovascular adverse events was lower than that in the conventional group,with a statistically significant difference(P<0.05).Conclusion:By implementing preoperative ultrasound-guided stellate ganglion block in patients with cardiovascular risk factors,the frequency and degree of coronary heart disease symptoms will be reduced,thus reducing the risk of patients,which is worth promoting.

Idiopathic steno-occlusive disease with bilateral internal carotid artery occlusion:A Case Report

BACKGROUND Moyamoya disease(MMD)is a rare cause of acute stroke and transient ischemic attacks in children.We described clinical,diagnostic features and follow-ups of a young child with acute stroke.CASE SUMMARY We report a 4-year-old girl with left hemiparesis after an acute ischemic stroke.Her history was also significant for repeated left or right focal motor seizures,generalized tonic-clonic convulsions and transient ischemic attacks.Her magnetic resonance imaging and computed tomography(CT)of the brain and magnetic resonance angiography,CT angiography and venography on the cerebral vessels revealed evidence of bilateral fronto-parietal ischemic infarctions,occlusion of the right and left internal carotid arteries started at its bifurcation and non-visualization of right and left anterior and middle cerebral arteries.There was evidence of progression in angiography manifested as development of collaterals from the basal perforating vessels,increase in the extent of large intracranial arterial stenosis/occlusion and extensive collateral circulation with predominance from the posterior circulation.Physical and neurological evaluation and comprehensive laboratory investigations excluded an obvious comorbid disease or risk factor for the child’s condition.The diagnosis of MMD was highly suggested as a cause of the child’s steno-occlusive condition.She was treated symptomatically with levetiracetam,an antiepileptic medication.Aspirin was prescribed for secondary prevention.Her clinical manifestations were improved during the three years of follow-up.Revascularization surgery was postponed.CONCLUSION Up to our knowledge,this is the first report for MMD in a child in our country.The clinical improvement and the stabilization of the child’s condition over the 3 years of follow-up could be attributed to the rapid and extensive recruitment of collaterals and absence of risk factors or comorbidities.Revascularization surgery is highly recommended.

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.

Most patients with non-hypertensive diseases at a critical care resuscitation unit require arterial pressure monitoring: a prospective observational study

BACKGROUND:Blood pressure(BP)monitoring is essential for patient care.Invasive arterial BP(IABP)is more accurate than non-invasive BP(NIBP),although the clinical signifi cance of this diff erence is unknown.We hypothesized that IABP would result in a change of management(COM)among patients with non-hypertensive diseases in the acute phase of resuscitation.METHODS:This prospective study included adults admitted to the Critical Care Resuscitation Unit(CCRU)with non-hypertensive disease from February 1,2019,to May 31,2021.Management plans to maintain a mean arterial pressure>65 mmHg(1 mmHg=0.133 kPa)were recorded in real time for both NIBP and IABP measurements.A COM was defined as a discrepancy between IABP and NIBP that resulted in an increase/decrease or addition/discontinuation of a medication/infusion.Classification and regression tree analysis identified significant variables associated with a COM and assigned relative variable importance(RVI)values.RESULTS:Among the 206 patients analyzed,a COM occurred in 94(45.6%[94/206])patients.The most common COM was an increase in current infusion dosages(40 patients,19.4%).Patients receiving norepinephrine at arterial cannulation were more likely to have a COM compared with those without(45[47.9%]vs.32[28.6%],P=0.004).Receiving norepinephrine(relative variable importance[RVI]100%)was the most signifi cant factor associated with a COM.No complications were identifi ed with IABP use.CONCLUSION:A COM occurred in 94(45.6%)non-hypertensive patients in the CCRU.Receiving vasopressors was the greatest factor associated with COM.Clinicians should consider IABP monitoring more often in non-hypertensive patients requiring norepinephrine in the acute resuscitation phase.Further studies are necessary to confi rm the risk-to-benefi t ratios of IABP among these high-risk patients.

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.