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.

Analysis of the Nursing Effect of Continuity of Care on Elderly Patients with Coronary Heart Disease Unstable Angina and its Impact on Quality of Life

Objective:To analyze the effect of using continuity of care for elderly patients with coronary heart disease(CHD)with unstable angina pectoris(UAP)and its impact on their quality of life.Methods:100 cases of elderly patients with CHD with UAP admitted to our hospital from March 2022 to March 2023 were selected and grouped into an observation group and a control group of 50 cases each according to the randomized number table method.The nursing effect and quality of life of the observation group(continuity nursing)and the control group(routine nursing)were compared.Results:The total effective rate of nursing care was 96.00%observation group and 80.00%for the control group,and the differences were significant(χ2=6.061,P<0.05).Patients in the observation group had fewer episodes(1.42±0.21)times/week and a shorter duration(5.46±0.39)min,which were better than the control group(t=3.465,2.973;P<0.05).The depression self-rating depression scale(SDS)score(42.16±6.64)and anxiety self-rating scale(SAS)score(32.26±7.35)in the observation group were lower and the quality of life was higher as compared to that of the control group(P<0.05).Conclusion:Continuous nursing care improved the nursing effect of elderly CHD with UAP patients,promoted the alleviation of UAP symptoms,improved patient mentality,and improved their quality of life.Hence,continuous nursing care possesses significant clinical application value.

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.

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.

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.

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.

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.

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.

Analysis of the Effect of Extended Rehabilitation Care at Home on the Psychological Condition and Adherence to Medical Compliance Behavior of Patients with Coronary Heart Disease Combined with Heart Failure

Objective:To analyze the effects of providing extended rehabilitation nursing services at home to patients with coronary heart disease(CHD)combined with heart failure(CHF)on psychological improvement and adherence to medical compliance behavior.Methods:79 patients with CHD with CHF admitted to Sijia Town Central Health Hospital,Haimen District,Nantong City,Jiangsu Province,between June 2021 and June 2023 were selected and grouped according to the randomized numerical table method.The control group(39 cases)was provided with conventional nursing care and extended rehabilitation nursing care at home was provided to the observation group(40 cases).The psychological status,adherence to medical behaviors,cardiac function,and complications between both groups were compared.Results:The scores of anxieties and depression self-assessment scales(SAS,SDS)of patients in the observation group were lower than those of the control group(t=2.954,3.212;P<0.05);the compliance of patients in the observation group was higher than that of the control group(P<0.05).The levels of left ventricular ejection fraction,end-systolic and end-diastolic internal diameters(LVEF,LVESD,LVEDD)of patients in the observation group at 58.02±5.34%,44.49±5.16 mm,and 49.16±5.76 mm respectively were better than those of the control group after nursing care(t=3.205,3.288,2.633;P<0.05);the complication rate of the observation group was lower than that of the control group(P<0.05).Conclusion:Extended rehabilitation nursing at home exhibited a psychological regulation effect on CHD with CHF patients,improved their medical compliance,improved cardiac function,reduced the incidence of complications,and had significant application value.

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.

Application of Structured Health Education and Combined 5A Nursing Model in Self-control of Vulnerable Chronic Diseases: Take Coronary Heart Disease as an Example

Objective:To explore the intervention effect of the Structured Health Education course and 5A nursing model for self-control of elderly patients with coronary heart disease.Methods:Using the random sampling method,124 elderly CAD patients admitted to the First Affiliated Hospital of Bengbu Medical University were randomly divided into an experimental group and a control group.The control group line routine health education,experimental group take structured health education combined with 5A nursing before and after the intervention using a coronary heart disease assessment questionnaire,coronary heart disease self-control scale evaluation of two groups of intervention,compare two groups before and after intervention blood pressure,blood sugar,body mass index,lipid index level and complications within 8 months after discharge.Results:After the course intervention,the disease cognition and self-behavior of the experimental group were higher than that of the control group,and the differences were statistically significant(all P<0.1).Conclusion:This course is suitable for elderly patients with coronary heart disease.The 5A model improves the cognitive and management ability of elderly patients to a certain extent,which is worthy of clinical application.

Treatment of Coronary Heart Disease from the Perspective of Liver Controlling Dispersion

The liver is in charge of distributing and regulating the movement of qi throughout the whole body,coordinating the transportation and transformation of the internal organs in the middle part of the body,promoting the biochemical circulation of qi,blood,and body fluids,and regulating emotions.Liver dysfunction can disrupt the transportation and transformation of qi,blood,and body fluids,causing phlegm turbidity,blood stasis,and other unwanted symptoms.Poor regulation of emotion further aggravates the accumulation of pathological substances,resulting in the obstruction of heart vessels,and ultimately coronary heart disease(CHD).Through regulating lipid metabolism,inflammatory reaction,vasoactive substances,platelet function,neuroendocrine,and other factors,liver controlling dispersing qi plays a comprehensive role in the prognosis of atherosclerosis,the primary cause of CHD.Therefore,it is recommended to treat CHD from the perspective of liver-controlling dispersion.

Analysis of the Effectiveness of Clopidogrel Combined with Aspirin in the Treatment of Coronary Heart Disease in Community-Dwelling Elderly

Objective:To analyze the combined therapeutic effect of clopidogrel(CLO)and aspirin(ASP)on coronary heart disease(CHD)in community-dwelling elderly.Methods:Thirty elderly patients with CHD who were admitted to the Xinxin Community Health Service Station,Pangzhuang Street,Quanshan District,Xuzhou City,from November 2020 to November 2022 were selected and randomly grouped into an observation group and a control group,with 15 cases in each group.The observation group was given the combination of CLO and ASP and the reference group was given only ASP.The total effective rate and other treatment indicators between the two groups were compared.Results:The total effective rate of the observation group(93.33%)was higher than that of the reference group(60.00%)(P<0.05).The adverse drug reaction rate(13.33%)and long-term cardiovascular adverse event rate(6.67%)of the observation group were lower than those of the reference group at 46.67%and 40.00%respectively,(P<0.05).Before treatment,the two groups had no difference in the quality-of-life scores(P>0.05).After treatment,the quality-of-life scores of the observation group were higher than those of the reference group(P<0.05).Conclusion:CLO combined with ASP improved the therapeutic effect of community-dwelling elderly patients with CHD,reduced adverse reactions during medication,prevented adverse cardiovascular events,and comprehensively improved the patient’s quality of life.

Health Systems Strengthening to Tackle the Global Burden of Pediatric and Congenital Heart Disease: A Diagonal Approach

1 Background Congenital heart disease(CHD)is the most common major congenital anomaly,affecting approximately one in every 100 live births[1].Among congenital anomalies,66%of preventable deaths are due to CHD,and 58%of the avertable morbidity and mortality due to congenital anomalies would result from scaling congenital heart surgery services[2].Every year,nearly 300,000 children and adults die from CHD,the majority of whom live in low-and middle-income countries(LMICs)[3].Approximately 49%of all individuals with CHD will require surgical or interventional care at some point in their lifetime[4];as a result of advances in access to and the delivery of such services,over 95%of children born with CHD in high-income countries now live into adulthood[3].Here,adults have surpassed children in the number of CHD cases at a ratio of 2:1[5].

Aggravation of Cancer,Heart Diseases and Diabetes Subsequent to COVID-19 Lockdown via Mathematical Modeling

The global populationhas beenandwill continue to be severely impacted by theCOVID-19 epidemic.The primary objective of this research is to demonstrate the future impact of COVID-19 on those who suffer from other fatal conditions such as cancer,heart disease,and diabetes.Here,using ordinary differential equations(ODEs),two mathematical models are developed to explain the association between COVID-19 and cancer and between COVID-19 and diabetes and heart disease.After that,we highlight the stability assessments that can be applied to these models.Sensitivity analysis is used to examine how changes in certain factors impact different aspects of disease.The sensitivity analysis showed that many people are still nervous about seeing a doctor due to COVID-19,which could result in a dramatic increase in the diagnosis of various ailments in the years to come.The correlation between diabetes and cardiovascular illness is also illustrated graphically.The effects of smoking and obesity are also found to be significant in disease compartments.Model fitting is also provided for interpreting the relationship between real data and the results of thiswork.Diabetic people,in particular,need tomonitor their health conditions closely and practice heart health maintenance.People with heart diseases should undergo regular checks so that they can protect themselves from diabetes and take some precautions including suitable diets.The main purpose of this study is to emphasize the importance of regular checks,to warn people about the effects of COVID-19(including avoiding healthcare centers and doctors because of the spread of infectious diseases)and to indicate the importance of family history of cancer,heart diseases and diabetes.The provision of the recommendations requires an increase in public consciousness.

Heart-Net: AMulti-Modal Deep Learning Approach for Diagnosing Cardiovascular Diseases

Heart disease remains a leading cause of morbidity and mortality worldwide,highlighting the need for improved diagnostic methods.Traditional diagnostics face limitations such as reliance on single-modality data and vulnerability to apparatus faults,which can reduce accuracy,especially with poor-quality images.Additionally,these methods often require significant time and expertise,making them less accessible in resource-limited settings.Emerging technologies like artificial intelligence and machine learning offer promising solutions by integrating multi-modality data and enhancing diagnostic precision,ultimately improving patient outcomes and reducing healthcare costs.This study introduces Heart-Net,a multi-modal deep learning framework designed to enhance heart disease diagnosis by integrating data from Cardiac Magnetic Resonance Imaging(MRI)and Electrocardiogram(ECG).Heart-Net uses a 3D U-Net for MRI analysis and a Temporal Convolutional Graph Neural Network(TCGN)for ECG feature extraction,combining these through an attention mechanism to emphasize relevant features.Classification is performed using Optimized TCGN.This approach improves early detection,reduces diagnostic errors,and supports personalized risk assessments and continuous health monitoring.The proposed approach results show that Heart-Net significantly outperforms traditional single-modality models,achieving accuracies of 92.56%forHeartnetDataset Ⅰ(HNET-DSⅠ),93.45%forHeartnetDataset Ⅱ(HNET-DSⅡ),and 91.89%for Heartnet Dataset Ⅲ(HNET-DSⅢ),mitigating the impact of apparatus faults and image quality issues.These findings underscore the potential of Heart-Net to revolutionize heart disease diagnostics and improve clinical outcomes.

Machine Learning-Based Intelligent Auscultation Techniques in Congenital Heart Disease:Application and Development

Congenital heart disease(CHD),the most prevalent congenital ailment,has seen advancements in the“dual indi-cator”screening program.This facilitates the early-stage diagnosis and treatment of children with CHD,subse-quently enhancing their survival rates.While cardiac auscultation offers an objective reflection of cardiac abnormalities and function,its evaluation is significantly influenced by personal experience and external factors,rendering it susceptible to misdiagnosis and omission.In recent years,continuous progress in artificial intelli-gence(AI)has enabled the digital acquisition,storage,and analysis of heart sound signals,paving the way for intelligent CHD auscultation-assisted diagnostic technology.Although there has been a surge in studies based on machine learning(ML)within CHD auscultation and diagnostic technology,most remain in the algorithmic research phase,relying on the implementation of specific datasets that still await verification in the clinical envir-onment.This paper provides an overview of the current stage of AI-assisted cardiac sounds(CS)auscultation technology,outlining the applications and limitations of AI auscultation technology in the CHD domain.The aim is to foster further development and refinement of AI auscultation technology for enhanced applications in CHD.

Use of Patient-Specific “4D” Tele-Education to Enhance Actual and Perceived Knowledge in Congenital Heart Disease (CHD) Patients

Background:Patients with congenital heart disease(CHD)will transition to lifelong adult congenital cardiac care.However,their structural heart disease is challenging to convey via two-dimensional drawings.This study utilized a tele-educational environment,with personalized three-dimensional(3D)modeling and health Details(3D+Details=“4D”),to improve actual and perceived knowledge,both important components of transition readiness in CHD patients.Methods:Participants aged≥13 years with a history of CHD and cardiac magnetic resonance imaging(MRI)studies were eligible.Cardiac MRI datasets were then used to segment and create 3D heart models(using Mimics,Materialize Inc.).Participantsfirst completed the MyHeart Questionnaire,a validated survey of actual knowledge.A tele-educational session was then scheduled,during which participants were shown a 3D model of a normal heart,followed by their personal 3D heart model and specific health details.Participants then repeated the actual knowledge survey,in addition to questionnaires assessing perceived knowledge pre-and post-session,as well as a satisfaction survey.Results:Twenty-two patients were included.Actual knowledge increased from 75%±15%to 89%±20%(p=0.00043)and perceived knowledge increased infive of seven questions.Actual knowledge correlated with perceived knowledge(r=0.608,p<0.0001).Ninety-one percent of participants ranked the 3D model as“very satisfactory”and ninety-five percent ranked the educational session as“very help-ful”or“extremely helpful.”Conclusions:The use of“4D”tele-education increased both actual and perceived knowledge and may help improve transition readiness in CHD patients.

Long-Term Mortality of Children with Congenital Heart Disease Admitted to the Departmental University Hospital of Borgou/Alibori from 2011 to 2022

Background: Congenital heart disease is a public health issue due to its incidence and mortality rate. The aim of this study was to investigate the long-term mortality of children with congenital heart disease admitted to the Departmental University Hospital of Borgou/Alibori (CHUD-B/A) from 2011 to 2022. Methods: This descriptive longitudinal study with analytical aims covered 11 years (April 1, 2011 to December 31, 2022). It consisted of a review of the records of children under 15 years of age with echocardiographically confirmed congenital heart disease. This was followed by an interview with the parents to assess the children’s current condition. Data were entered using Kobocollect software and analyzed using R Studio 4.2.2. software. Results: A total of 143 complete files were retained. The median age at diagnosis was 14 months (IIQ: Q1 = 4;Q3 = 60) with a range of 2 days and 175 months, and the sex-ratio (M/F) was 0.96. Left-to-right shunts were the most frequent cardiopathy group (62.9%). Only 35 children (24.5%) benefited from restorative treatment. The mortality rate was 31.5%. Median survival under the maximum bias assumption was 114 months and 216 months under the assumption of minimum bias. Survival was significantly better in children with right-to-left shunts (p = 0.0049) under the assumption of minimum bias. The death risk factors were: age at diagnosis less than 12 months (aHR = 7.58;95% CI = 3.36 - 17.24;p Conclusion: The long-term mortality of congenital heart disease is high and favoured by the absence of restorative treatment. Local correction of congenital heart disease and medical follow-up will help to reduce this mortality.