Predicting short-term major postoperative complications in intestinal resection for Crohn’s disease:A machine learning-based study

BACKGROUND Due to the complexity and numerous comorbidities associated with Crohn’s disease(CD),the incidence of postoperative complications is high,significantly impacting the recovery and prognosis of patients.Consequently,additional stu-dies are required to precisely predict short-term major complications following intestinal resection(IR),aiding surgical decision-making and optimizing patient care.AIM To construct novel models based on machine learning(ML)to predict short-term major postoperative complications in patients with CD following IR.METHODS A retrospective analysis was performed on clinical data derived from a patient cohort that underwent IR for CD from January 2017 to December 2022.The study participants were randomly allocated to either a training cohort or a validation cohort.The logistic regression and random forest(RF)were applied to construct models in the training cohort,with model discrimination evaluated using the area under the curves(AUC).The validation cohort assessed the performance of the constructed models.RESULTS Out of the 259 patients encompassed in the study,5.0%encountered major postoperative complications(Clavien-Dindo≥III)within 30 d following IR for CD.The AUC for the logistic model was 0.916,significantly lower than the AUC of 0.965 for the RF model.The logistic model incorporated a preoperative CD activity index(CDAI)of≥220,a diminished preoperative serum albumin level,conversion to laparotomy surgery,and an extended operation time.A nomogram for the logistic model was plotted.Except for the surgical approach,the other three variables ranked among the top four important variables in the novel ML model.CONCLUSION Both the nomogram and RF exhibited good performance in predicting short-term major postoperative complic-ations in patients with CD,with the RF model showing more superiority.A preoperative CDAI of≥220,a di-minished preoperative serum albumin level,and an extended operation time might be the most crucial variables.The findings of this study can assist clinicians in identifying patients at a higher risk for complications and offering personalized perioperative management to enhance patient outcomes.

Impact of continuous care on cardiac function in patients with lung cancer complicated by coronary heart disease

BACKGROUND Despite sharing similar pathogenic factors,cancer and coronary heart disease(CHD)occur in comparable populations at similar ages and possess similar susceptibility factors.Consequently,it is increasingly commonplace for patients to experience the simultaneous occurrence of cancer and CHD,a trend that is steadily rising.AIM To determine the impacts of continuing care on lung cancer patients with CHD following percutaneous coronary intervention(PCI).METHODS There were 94 lung cancer patients with CHD following PCI who were randomly assigned to the intervention group(n=38)and the control group(n=41).In the intervention group,continuing care was provided,while in the control group,routine care was provided.An evaluation of cardiac and pulmonary function,medication compliance,a 6-min walk test,and patient quality of life was performed.RESULTS Differences between the two groups were significant in left ventricular ejection fraction,6-min walk test,oxygen uptake,quality of life and medication compliance(P<0.05).In comparison with the control group,the enhancement in the intervention group was more significant.The intervention group had more patients with high medication compliance than the control group,with a statistically significant difference(P<0.05).CONCLUSION After undergoing PCI,lung patients with CHD could benefit from continued care in terms of cardiac and pulmonary function,medications compliance,and quality of life.

Machine learning in predicting postoperative complications in Crohn’s disease

Crohn's disease(CD)is a chronic inflammatory bowel disease of unknown origin that can cause significant disability and morbidity with its progression.Due to the unique nature of CD,surgery is often necessary for many patients during their lifetime,and the incidence of postoperative complications is high,which can affect the prognosis of patients.Therefore,it is essential to identify and manage post-operative complications.Machine learning(ML)has become increasingly im-portant in the medical field,and ML-based models can be used to predict post-operative complications of intestinal resection for CD.Recently,a valuable article titled“Predicting short-term major postoperative complications in intestinal resection for Crohn's disease:A machine learning-based study”was published by Wang et al.We appreciate the authors'creative work,and we are willing to share our views and discuss them with the authors.

Correlation between Neutrophil Percentage-to-albumin Ratio and Coronary Heart Disease Complicated with Diabetes Mellitus

[Objectives]This study was conducted to explore the relationship between neutrophil percentage-to-albumin ratio(NPAR)and coronary heart disease complicated with diabetes.[Methods]A total of 603 patients with coronary heart disease who underwent coronary angiography in Pingquan County Hospital from January,2023 to December,2023 and met the inclusion criteria were included as the research object.All the patients were divided into a coronary heart disease complicated with diabetes group(CAD+T2DM group)(n=298 cases)and a control group(CAD group)(n=305 cases),according to patients medical history,heart color ultrasound and biochemical test results.The clinical data,biochemical test results and coronary artery imaging data of patients were recorded,and the Gensini score was calculated.The neutrophil percentage(NEUT%)and albumin count were determined to calculate NPAR.[Results]The NPAR value of the coronary heart disease complicated with diabetes mellitus group was(1.6±0.42),which was significantly higher than that of the control group(1.47±0.49),and the difference was statistically significant(P<0.05).The area under the ROC curve was 0.619(95%CI:0.591-0.675,P<0.05),and the prediction of coronary heart disease complicated with diabetes using NPAR showed a Youden index of 0.31,a sensitivity of 60.4%,a specificity of 40.3%,and a best cut-off score of 1.4506.[Conclusions]The neutrophil percentage-to-albumin ratio(NPAR)is closely related to coronary heart disease complicated with diabetes mellitus,and NPAR has clinical application value in the diagnosis of coronary heart disease complicated with diabetes mellitus.

Machine learning as a tool predicting short-term postoperative complications in Crohn’s disease patients undergoing intestinal resection: What frontiers?

The recent study,“Predicting short-term major postoperative complications in intestinal resection for Crohn’s disease:A machine learning-based study”invest-igated the predictive efficacy of a machine learning model for major postoperative complications within 30 days of surgery in Crohn’s disease(CD)patients.Em-ploying a random forest analysis and Shapley Additive Explanations,the study prioritizes factors such as preoperative nutritional status,operative time,and CD activity index.Despite the retrospective design’s limitations,the model’s robu-stness,with area under the curve values surpassing 0.8,highlights its clinical potential.The findings align with literature supporting preoperative nutritional therapy in inflammatory bowel diseases,emphasizing the importance of compre-hensive assessment and optimization.While a significant advancement,further research is crucial for refining preoperative strategies in CD patients.

Histopathological Patterns and Early Postoperative Complications among Patients with Surgically Treated Thyroid Diseases at Bugando Medical Centre, Mwanza, Tanzania

Background: Thyroid diseases are among the leading endocrine disorders affecting a large proportion of people worldwide and show geographical variation in incidence and histopathological pattern related to age, sex, dietary and environmental factors. Histopathological patterns of surgically treated thyroid diseases play an important role in early diagnosis and management of these diseases. There is, however, limited published data regarding histopathological reports on thyroid disease in our local setting. This study aimed to determine the histopathological patterns and highlight early postoperative complications among patients with surgically treated thyroid diseases at Bugando Medical Centre (BMC). Methods: This was a longitudinal study involving all patients with surgically treated thyroid diseases seen at BMC over a period of 6 months from October 2019 to March 2020. Results: A total of 84 patients were studied. Females outnumbered males by a female to male ratio of 11:1. The median age of patients was 44 [IQR, 35 - 54] years old, the youngest was 14 years old and the oldest was 76 years old. Colloid goiter was the most common non-neoplastic lesion accounting for 34 (44.7%) patients. Among the neoplastic lesions, follicular adenoma was the most commonly encountered benign pathologies (n = 16;21.1%), while papillary carcinoma was the most commonly encountered malignancy (n = 4;50%). Following thyroidectomy, 12 (14.3%) patients developed early complications, of which hemorrhage sometimes requiring blood transfusion was the leading intra/postoperative complications accounting for 4 (33.3%) patients. Other complications include temporary recurrent laryngeal nerve palsy 2 (16.7%), surgical site infection 2 (16.7%) and tracheomalacia, bronchospasm, thyroid abscess and respiratory obstruction in 1 (8.3%) patient each, respectively. In this study, malignant thyroid lesion (p Conclusion: This study demonstrated that colloid goiter was the most common non-neoplastic lesion, and on the neoplastic category, follicular adenoma was the most common benign lesion, while papillary carcinoma was the most frequent malignant lesion.

Serum cystatin C,monocyte/high-density lipoprotein-C ratio,and uric acid for the diagnosis of coronary heart disease and heart failure

BACKGROUND Coronary heart disease(CHD)and heart failure(HF)are the major causes of morbidity and mortality worldwide.Early and accurate diagnoses of CHD and HF are essential for optimal management and prognosis.However,conventional diagnostic methods such as electrocardiography,echocardiography,and cardiac biomarkers have certain limitations,such as low sensitivity,specificity,availability,and cost-effectiveness.Therefore,there is a need for simple,noninvasive,and reliable biomarkers to diagnose CHD and HF.AIM To investigate serum cystatin C(Cys-C),monocyte/high-density lipoprotein cholesterol ratio(MHR),and uric acid(UA)diagnostic values for CHD and HF.METHODS We enrolled 80 patients with suspected CHD or HF who were admitted to our hospital between July 2022 and July 2023.The patients were divided into CHD(n=20),HF(n=20),CHD+HF(n=20),and control groups(n=20).The serum levels of Cys-C,MHR,and UA were measured using immunonephelometry and an enzymatic method,respectively,and the diagnostic values for CHD and HF were evaluated using receiver operating characteristic(ROC)curve analysis.RESULTS Serum levels of Cys-C,MHR,and UA were significantly higher in the CHD,HF,and CHD+HF groups than those in the control group.The serum levels of Cys-C,MHR,and UA were significantly higher in the CHD+HF group than those in the CHD or HF group.The ROC curve analysis showed that serum Cys-C,MHR,and UA had good diagnostic performance for CHD and HF,with areas under the curve ranging from 0.78 to 0.93.The optimal cutoff values of serum Cys-C,MHR,and UA for diagnosing CHD,HF,and CHD+HF were 1.2 mg/L,0.9×10^(9),and 389μmol/L;1.4 mg/L,1.0×10^(9),and 449μmol/L;and 1.6 mg/L,1.1×10^(9),and 508μmol/L,respectively.CONCLUSION Serum Cys-C,MHR,and UA are useful biomarkers for diagnosing CHD and HF,and CHD+HF.These can provide information for decision-making and risk stratification in patients with CHD and HF.

Recognizing and preventing complications regarding bioresorbable scaffolds during coronary interventions

The evolution of coronary intervention techniques and equipment has led to more sophisticated procedures for the treatment of highly complex lesions.However,as a result,the risk of complications has increased,which are mostly iatrogenic and often include equipment failure.Stent dislodgement warrants vigilance for the early diagnosis and a stepwise management approach is required to either expand or retrieve the lost stent.In the era of bioresorbable scaffolds that are not radiopaque,increased caution is required.Intravascular imaging may assist in detecting the lost scaffold in cases of no visibility fluoroscopically.Adequate lesion preparation is the key to minimizing the possibility of equipment loss;however,in the case that it occurs,commercially available and improvised devices and techniques may be applied.

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.

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.

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.

Light-Activated Virtual Sensor Array with Machine Learning for Non-Invasive Diagnosis of Coronary Heart Disease

Early non-invasive diagnosis of coronary heart disease(CHD)is critical.However,it is challenging to achieve accurate CHD diagnosis via detecting breath.In this work,heterostructured complexes of black phosphorus(BP)and two-dimensional carbide and nitride(MXene)with high gas sensitivity and photo responsiveness were formulated using a self-assembly strategy.A light-activated virtual sensor array(LAVSA)based on BP/Ti_(3)C_(2)Tx was prepared under photomodulation and further assembled into an instant gas sensing platform(IGSP).In addition,a machine learning(ML)algorithm was introduced to help the IGSP detect and recognize the signals of breath samples to diagnose CHD.Due to the synergistic effect of BP and Ti_(3)C_(2)Tx as well as photo excitation,the synthesized heterostructured complexes exhibited higher performance than pristine Ti_(3)C_(2)Tx,with a response value 26%higher than that of pristine Ti_(3)C_(2)Tx.In addition,with the help of a pattern recognition algorithm,LAVSA successfully detected and identified 15 odor molecules affiliated with alcohols,ketones,aldehydes,esters,and acids.Meanwhile,with the assistance of ML,the IGSP achieved 69.2%accuracy in detecting the breath odor of 45 volunteers from healthy people and CHD patients.In conclusion,an immediate,low-cost,and accurate prototype was designed and fabricated for the noninvasive diagnosis of CHD,which provided a generalized solution for diagnosing other diseases and other more complex application scenarios.

Inflammatory markers,oxidative stress,and mitochondrial dynamics:Repercussions on coronary artery disease in diabetes

Inflammatory markers and mediators that affect the development of cardiovascular diseases have been the focus of recent scientific work.Thus,the purpose of this editorial is to promote a critical debate about the article titled“Nε-carboxymethyl-lysine and inflammatory cytokines,markers,and mediators of coronary artery disease progression in diabetes”,published in the World Journal of Diabetes in 2024.This work directs us to reflect on the role of advanced glycation end products,which are pro-inflammatory products arising from the metabolism of fatty acids and sugars whose main marker in tissues is Nε-carboxymethyllysine(NML).Recent studies have linked high levels of pro-inflammatory agents with the development of coronary artery disease(CAD),especially tumor necrosis factor alpha,interleukins,and C-reactive protein.These inflammatory agents increase the production of reactive oxygen species(ROS),of which people with diabetes are known to have an increased production.The increase in ROS promotes lipid peroxidation,which causes damage to myocytes,promoting myocardial damage.Furthermore,oxidative stress induces the binding of NML to its receptor RAGE,which in turn activates the nuclear factor-kB,and consequently,inflammatory cytokines.These inflammatory cytokines induce endothelial dysfunction,with increased expression of adhesion molecules,changes in endothelial permeability and changes in the expression of nitric oxide.In this sense,the therapeutic use of monoclonal antibodies(inflammatory reducers such as statins and sodium-glucose transport inhibitors)has demonstrated positive results in the regression of atherogenic plaques and consequently CAD.On the other hand,many studies have demonstrated a relationship between mitochondrial dynamics,diabetes,and cardiovascular diseases.This link occurs since ROS have their origin in the imbalance in glucose metabolism that occurs in the mitochondrial matrix,and this imbalance can have its origin in inadequate diet as well as some pathologies.Photobiomodulation(PBM)has recently been considered a possible therapeutic agent for cardiovascular diseases due to its effects on mitochondrial dynamics and oxidative stress.In this sense,therapies such as PBM that act on pro-inflammatory mediators and mitochondrial modulation could benefit those with cardiovascular diseases.

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.

Effect of continuous nursing on treatment compliance and side effect management of coronary heart disease

BACKGROUND There are relatively few studies on continuing care of coronary heart disease(CHD),and its research value needs to be further clarified.AIM To investigate the effect of continuous nursing on treatment compliance and side effect management in patients with CHD.METHODS This is a retrospective study with patients from January 2021 to 2023.The study was divided into two groups with 30 participants in each group.Self-rating anxiety scale(SAS)and Self-rating depression scale(SDS)were used to assess patients'anxiety and depression,and medical coping questionnaire was used to assess patients'coping styles.The pelvic floor dysfunction questionnaire(PFDI-20)was used to assess the status of pelvic floor function,including bladder symptoms,intestinal symptoms,and pelvic symptoms.RESULTS SAS score decreased from 57.33±3.01before treatment to 41.33±3.42 after treatment,SDS score decreased from 50.40±1.45 to 39.47±1.57.The decrease of these two indexes was statistically significant(P<0.05).PFDI-20 scores decreased from the mean 16.83±1.72 before treatment to 10.47±1.3the mean after treatment,which was statistically significant(P<0.05).CONCLUSION The results of this study indicate that pioneering research in continuous care of CHD has a positive impact on improving patients'treatment compliance,reducing anxiety and depression levels,and improving coping styles and pelvic floor functional status.

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.

Exploring the mechanism of Crocus sativus and Rosa rugosa for the treatment of coronary heart disease based on network pharmacology and molecular docking

Coronary atherosclerotic heart disease(CHD)is the main type of cardiovascular disease.The efficacy of Uyghur drug compound Saffron formula in CHD has been clinically proven.However,the underlying mechanism remains unclear.In this study,researchers investigated the active ingredients and mechanism of action of Crocus sativus and Rosa rugosa in the treatment of CHD by network pharmacology and molecular docking techniques,collected target information with the help of TCMSP,GEO,GeneCards,and other databases,constructed protein-protein interaction(PPI)network diagrams by STRING database,performed GO and KEGG pathway enrichment analysis on common targets,and finally molecularly docked the active ingredients with core targets.C.sativus-R.rugosa have a variety of polyphenol compounds,a total of 12 active ingredients,including quercetin and kaempferol,were screened.The first three targets intersected with the core targets of CHD as AKT1,TNF,and IL-1B.Enrichment results of KEGG pathway showed that C.sativus-R.rugosa against CHD involved atherosclerosis pathways.The molecular docking results showed that quercetin and kaempferol were well bound to the core targets,and it was speculated that these components might be the main active ingredients for the treatment of CHD.The potential mechanism of action of C.sativus-R.rugosa for the treatment of coronary heart disease was initially revealed.

Effectiveness of Atorvastatin Combined with Trimetazidine in the Treatment of Coronary Heart Disease in the Elderly and Their Effect on Cardiac Function

Objective:To analyze the effect of atorvastatin combined with trimetazidine in the treatment of elderly coronary artery disease and the effect on patients’cardiac function.Methods:60 cases of elderly coronary artery disease patients were divided into 2 groups by randomization method,and all of them received conventional symptomatic treatment,while atorvastatin was added to the control group and trimetazidine was combined with atorvastatin in the observation group,and the clinical indexes were compared.Results:After treatment,the angina attack,cardiac function indexes,and inflammatory factor levels of the observation group were better than those of the control group(P<0.05),and the differences in adverse reactions between the two groups were not significant(P>0.05).Conclusion:Combined treatment of coronary heart disease in the elderly with atorvastatin and trimetazidine can positively reduce angina symptoms,improve cardiac function,and reduce inflammatory reactions,and the effect is definite.