Myocardial infarction (MI) has the characteristics of high mortality rate, strong suddenness and invisibility. There are problems such as the delayed diagnosis, misdiagnosis and missed diagnosis in clinical practice. Electrocardiogram (ECG) examination is the simplest and fastest way to diagnose MI. The research on MI intelligent auxiliary diagnosis based on ECG is of great significance. On the basis of the pathophysiological mechanism of MI and characteristic changes in ECG, feature point extraction and morphology recognition of ECG, along with intelligent auxiliary diagnosis method of MI based on machine learning and deep learning are all summarized. The models, datasets, the number of ECG, the number of leads, input modes, evaluation methods and effects of different methods are compared. Finally, future research directions and development trends are pointed out, including data enhancement of MI, feature points and dynamic features extraction of ECG, the generalization and clinical interpretability of models, which are expected to provide references for researchers in related fields of MI intelligent auxiliary diagnosis.
Humans ; Electrocardiography ; Myocardial Infarction/diagnosis* ; Recognition, Psychology

BACKGROUND AND OBJECTIVES: Contrast-induced nephropathy (CIN) is a common complication of primary percutaneous coronary intervention (pPCI) and is associated with high mortality and morbidity and long hospital stay in patients with ST elevation myocardial infarction (STEMI). The Syntax Score (SS) has previously been studied in STEMI patients, and it was associated with increased CIN development and long-term mortality. This study investigates a possible relationship between CIN development and Syntax Score II (SSII) and compares SS and SSII by assessing CIN risk in STEMI patients treated with pPCI. METHODS: A total of 1,234 patients who underwent pPCI were divided into 2 groups according to CIN development. Patients with CIN were further divided into 2 groups according to whether or not they required hemodialysis. Reclassification tables, net reclassification improvement, and integrated discriminative improvement methods were used to assess the additive predictive value of SSII for predicting CIN. RESULTS: In the present study, 166 patients (13.5%) had CIN. Although both SS and SSII were significantly higher in CIN patients, only SSII was an independent predictor of CIN (odds ratio [OR], 1.031; 95% confidence interval [CI], 1.012–1.051; p < 0.001) and hemodialysis requirement (OR, 1.078; 95% CI, 1.046–1.078; p < 0.001). When comparing SSII and SS in their ability to determine CIN risk, we found SSII to have a reclassification improvement of 27.59% (p < 0.001) and an integrated discrimination improvement of 9.1% (p < 0.001). CONCLUSIONS: The combination of clinical and anatomic variables can more accurately identify patients who are at high risk for CIN after pPCI. While SSII is harder to calculate than SS, it provides better prediction for CIN and hemodialysis requirement than SS.
Discrimination (Psychology) ; Humans ; Length of Stay ; Mortality ; Myocardial Infarction ; Percutaneous Coronary Intervention ; Renal Dialysis

BACKGROUND AND OBJECTIVES: A risk prediction is needed even in the contemporary era of acute myocardial infarction (AMI). We sought to develop a risk scoring specific for patients with AMI being treated with guideline-adherent optimal therapies, including percutaneous coronary intervention and all 5 medications (aspirin, thienopyridine, β-blocker, angiotensin-converting enzyme inhibitor or angiotensin receptor blocker, and statin). METHODS: From registries, 12,174 AMI patients were evaluated. The primary outcome was 1-year all-cause death or AMI. The Korea Working Group in Myocardial Infarction (KorMI) system was compared with the Assessment of Pexelizumab in Acute Myocardial Infarction (APEX AMI), Controlled Abciximab and Device Investigation to Lower Late Angioplasty Complications (CADILLAC), and Global Registry of Acute Coronary Events scores (GRACE) models. RESULTS: Ten predictors were identified: left ventricular dysfunction (hazard ratio [HR], 2.3), bare-metal stent (HR, 2.0), Killip class ≥II (HR, 1.9), renal insufficiency (HR, 1.8), previous stroke (HR, 1.6), regional wall-motion- score >20 on echocardiography (HR, 1.5), body mass index ≤24 kg/m2 (HR, 1.4), age ≥70 years (HR, 1.4), prior coronary heart disease (HR, 1.4), and diabetes (HR, 1.4). Compared with the previous models, the KorMI system had good discrimination (time-dependent C statistic, 0.759) and showed reasonable goodness-of-fit by Hosmer-Lemeshow test (p=0.84). Moreover, the continuous-net reclassification improvement varied from −27.3% to −19.1%, the integrated discrimination index varied from −2.1% to −0.9%, and the median improvement in risk score was from −1.0% to −0.4%. CONCLUSIONS: The KorMI system would be a useful tool for predicting outcomes in survivors treated with guideline-adherent optimal therapies after AMI.
Angioplasty ; Angiotensins ; Body Mass Index ; Coronary Disease ; Discrimination (Psychology) ; Drug Therapy ; Echocardiography ; Humans ; Korea ; Myocardial Infarction ; Percutaneous Coronary Intervention ; Registries ; Renal Insufficiency ; Stents ; Stroke ; Survivors ; Ventricular Dysfunction, Left

Development of a competence-based curriculum is important. This study aimed to develop competence assessment tools in emergency medicine and use it to assess competence of Cameroonian healthcare professionals. This was a cross-sectional, descriptive study. Through literature review, expert survey, and discrimination tests, we developed a self-survey questionnaire and a scenario-based competence assessment tool for assessing clinical knowledge and self-confidence to perform clinical practices or procedures. The self-survey consisted of 23 domains and 94 questionnaires on a 5-point Likert scale. Objective scenario-based competence assessment tool was used to validate the self-survey results for five life-threatening diseases presenting frequently in emergency rooms of Cameroon. Response rate of the self-survey was 82.6%. In this first half of competence assessment, knowledge of infectious disease had the highest score (4.6 ± 0.4) followed by obstetrics and gynecology (4.2 ± 0.6) and hematology and oncology (4.2 ± 0.5); in contrast, respondents rated the lowest score in the domains of disaster, abuse and assault, and psychiatric and behavior disorder (all of mean 2.8). In the scenario-based test, knowledge of multiple trauma had the highest score (4.3 ± 1.2) followed by anaphylaxis (3.4 ± 1.4), diabetic ketoacidosis (3.3 ± 1.0), ST-elevation myocardial infarction (2.5 ± 1.4), and septic shock (2.2 ± 1.1). Mean difference between the self-survey and scenario-based test was statistically insignificant (mean, −0.02; 95% confidence interval, −0.41 to 0.36), and agreement rate was 58.3%. Both evaluation tools showed a moderate correlation, and the study population had relatively low competence for specific aspects of emergency medicine and clinical procedures and skills.
Anaphylaxis ; Cameroon* ; Communicable Diseases ; Curriculum ; Delivery of Health Care* ; Developing Countries ; Diabetic Ketoacidosis ; Disasters ; Discrimination (Psychology) ; Emergencies* ; Emergency Medicine* ; Emergency Service, Hospital ; Gynecology ; Hematology ; Mental Competency* ; Multiple Trauma ; Myocardial Infarction ; Obstetrics ; Professional Competence ; Shock, Septic ; Surveys and Questionnaires

BACKGROUNDWhile depression and certain cardiac biomarkers are associated with acute myocardial infarction (AMI), the relationship between them remains largely unexplored. We examined the association between depressive symptoms and biomarkers in patients with AMI.

METHODSWe performed a cross-sectional study using data from 103 patients with AMI between March 2013 and September 2014. The levels of depression, N-terminal proB-type natriuretic peptide (NT-proBNP), and troponin I (TnI) were measured at baseline. The patients were divided into two groups: those with depressive symptoms and those without depressive symptoms according to Zung Self-rating Depression Scale (SDS) score. Baseline comparisons between two groups were made using Student's t-test for continuous variables, Chi-square or Fisher's exact test for categorical variables, and Wilcoxon test for variables in skewed distribution. Binomial logistic regression and multivariate linear regression were performed to assess the association between depressive symptoms and biomarkers while adjusting for demographic and clinical variables.

RESULTSPatients with depressive symptoms had significantly higher NT-proBNP levels as compared to patients without depressive symptoms (1135.0 [131.5, 2474.0] vs. 384.0 [133.0, 990.0], Z = -2.470, P = 0.013). Depressive symptoms were associated with higher NT-proBNP levels (odds ratio [OR] = 2.348, 95% CI: 1.344 to 4.103, P = 0.003) and higher body mass index (OR = 1.169, 95% confidence interval [CI]: 1.016 to 1.345, P = 0.029). The total SDS score was associated with the NT-proBNP level (β= 0.327, 95% CI: 1.674 to 6.119, P = 0.001) after multivariable adjustment. In particular, NT-proBNP was associated with three of the depressive dimensions, including core depression (β = 0.299, 95% CI: 0.551 to 2.428, P = 0.002), cognitive depression (β = 0.320, 95% CI: 0.476 to 1.811, P = 0.001), and somatic depression (β = 0.333, 95% CI: 0.240 to 0.847, P = 0.001). Neither the overall depressive symptomatology nor the individual depressive dimensions were associated with TnI levels.

CONCLUSIONSDepressive symptoms, especially core depression, cognitive depression, and somatic depression, were related to high NT-proBNP levels in patients with AMI.

Aged ; Biomarkers ; metabolism ; Cross-Sectional Studies ; Depressive Disorder ; diagnosis ; etiology ; metabolism ; Female ; Humans ; Male ; Middle Aged ; Myocardial Infarction ; metabolism ; psychology ; Natriuretic Peptide, Brain ; metabolism ; Peptide Fragments ; metabolism ; Troponin I ; metabolism

BACKGROUND/AIMS: This study is a head-to-head comparison of predictive values for long-term cardiovascular outcomes between exercise electrocardiography (ex-ECG) and computed tomography coronary angiography (CTCA) in patients with chest pain. METHODS: Four hundred and forty-two patients (mean age, 56.1 years; men, 61.3%) who underwent both ex-ECG and CTCA for evaluation of chest pain were included. For ex-ECG parameters, the patients were classified according to negative or positive results, and Duke treadmill score (DTS). Coronary artery calcium score (CACS), presence of plaque, and coronary artery stenosis were evaluated as CTCA parameters. Cardiovascular events for prognostic evaluation were defined as unstable angina, acute myocardial infarction, revascularization, heart failure, and cardiac death. RESULTS: The mean follow-up duration was 2.8 ± 1.1 years. Fifteen patients experienced cardiovascular events. Based on pretest probability, the low- and intermediate-risks of coronary artery disease were 94.6%. Odds ratio of CACS > 40, presence of plaque, coronary stenosis ≥ 50% and DTS ≤ 4 were significant (3.79, p = 0.012; 9.54, p = 0.030; 6.99, p < 0.001; and 4.58, p = 0.008, respectively). In the Cox regression model, coronary stenosis ≥ 50% (hazard ratio, 7.426; 95% confidence interval, 2.685 to 20.525) was only significant. After adding DTS ≤ 4 to coronary stenosis ≥ 50%, the integrated discrimination improvement and net reclassification improvement analyses did not show significant. CONCLUSIONS: CTCA was better than ex-ECG in terms of predicting long-term outcomes in low- to intermediate-risk populations. The predictive value of the combination of CTCA and ex-ECG was not superior to that of CTCA alone.
Angina, Unstable ; Calcium ; Chest Pain ; Coronary Angiography* ; Coronary Artery Disease ; Coronary Stenosis ; Coronary Vessels ; Death ; Discrimination (Psychology) ; Electrocardiography* ; Follow-Up Studies ; Heart Failure ; Humans ; Male ; Myocardial Infarction ; Odds Ratio ; Prognosis

PURPOSE: Myocardial infarction can occur due to known risk factors and lifestyle choices. The difficulties that patients experience after discharge can lead to readmission and nonadherence to lifestyle change. The purpose of this study was to analyze the difficulties experienced by patients after hospitalization due to myocardial infarction and to identify the predictors of readmission and unchanged lifestyles. METHODS: The study used a mixed-methods design across 106 patients who had experienced a first episode of acute myocardial infarction. The data were collected from two patient interviews and the patients' medical records. A logistic regression was used to predict unchanged lifestyle and readmission. RESULTS: In the first interview, 74.5% of the patients reported receiving information prior to discharge. Six months after discharge, 80.2% mentioned that they had changed their lifestyles, but only 59.4% reported that their health had improved, and 75.5% continued to have concerns regarding their health. Patients described difficulties with regard to psychological problems, family dynamics, professional issues, problems with managing cardiovascular symptoms, and complications associated with hospital interventions. A follow-up assessment revealed that 12.3% of patients had been readmitted for cardiovascular disease. CONCLUSIONS: The analysis revealed significant predictors of readmission amongst patients with hypertension and three-vessel disease. Specifically, the number of people in the household, per capita income, and a lack of information/education provided at discharge as well as problems related to mental health after discharge predicted unchanged lifestyle. An educational program might be advantageous to clarify doubts and involve patients in their own disease management.
Activities of Daily Living ; Adult ; Attitude to Health/ethnology ; Female ; Follow-Up Studies ; Health Education/methods ; Healthy Lifestyle ; Humans ; Male ; Middle Aged ; Myocardial Infarction/ethnology/psychology/*therapy ; Patient Readmission/statistics & numerical data ; Portugal/ethnology ; Risk Factors ; Self Care

BACKGROUND AND OBJECTIVES: Increasing evidence supports that psychological factors may be related to development of coronary artery disease (CAD). Although psychological well-being, ill-being, and control strategy factors may play a significant role in CAD, rarely have these factors been simultaneously examined previously. We assessed comprehensive psychological factors in patients with acute coronary syndrome (ACS). SUBJECTS AND METHODS: A total of 85 ACS patients (56 unstable angina, 29 acute myocardial infarction; 52.6+/-10.2 years; M/F=68/17) and 63 healthy controls (48.7+/-6.7 years, M/F=43/20) were included. Socio-demographic information, levels of psychological maladjustment, such as anxiety, hostility, and job stress, health-related quality of life (HRQoL), and primary and secondary control strategy use were collected through self-report questionnaires. RESULTS: There was no significant difference between the ACS group and control group in levels of anxiety, hostility, and job stress. However, ACS patients had significantly lower scores on the general health perception and bodily pain subscales of HRQoL than the control group. The ACS group, as compared with the controls, tended to use primary control strategies more, although not reaching statistical significance by univariate analysis. Multivariate logistic regression analysis after adjusting age and gender identified the physical domain of HRQoL {odds ratio (OR)=0.40}, primary control strategy (OR=1.92), and secondary control strategy (OR=0.53) as independent predictors of ACS. CONCLUSION: Poor HRQoL and primary control strategy, proactive behaviors in achieving ones' goal, may act as risk factors for ACS, while secondary control strategy to conform to current situation may act as a protective factor for ACS.
Acute Coronary Syndrome* ; Angina, Unstable ; Anxiety ; Coronary Artery Disease ; Hostility ; Humans ; Logistic Models ; Myocardial Infarction ; Psychology ; Quality of Life* ; Risk Factors* ; Stress, Psychological ; Surveys and Questionnaires

PURPOSE: Prediction of the proximal right coronary artery (pRCA) through electrocardiography (ECG) is very important because pRCA occlusion has frequently been suspected in right ventricular infarction, which has a high mortality rate. The aim of this study is to investigate characteristic ECG finding of pRCA occlusion distinguishable from mid or distal RCA. METHODS: A review was conducted retrospectively of 630 patients with chest pain in the ED who underwent coronary angiography (CAG) from June 2007 to December 2013 and CAG of 89 among them resulted in only RCA occlusion exempting other coronary vessels. The patients were divided into two groups: subjects with pRCA (n=32) occlusion and below the mid RCA (n=57) occlusion. In each subset, features of ECG were searched and analyzed. RESULTS: ECG of patients with occlusion of the pRCA showed more prominent ST depression in lead I (-0.68 mm vs -0.22 mm, p=0.027) and ST elevation in V1 (0.94 mm vs 0.09 mm, p=0.001) than in the below portion. Both ST depression (< or =0 mm) in I and ST elevation (>0.5 mm) in V1 classified according to cutoff value using Youden index J were closely related to pRCA occlusion other than mid or distal RCA (OR 7.16, p<0.001). CONCLUSION: Discrimination of pRCA occlusion from mid or distal RCA in ECG through ST depression in lead I and ST elevation in lead V1 might be valid as a sentinel of right ventricular infarction.
Chest Pain ; Constriction, Pathologic* ; Coronary Angiography ; Coronary Artery Disease ; Coronary Vessels* ; Depression ; Discrimination (Psychology) ; Electrocardiography* ; Humans ; Infarction ; Mortality ; Myocardial Infarction ; Retrospective Studies

PURPOSE: This study was done to identify effects of a smoking cessation program including telephone counseling and text messaging using stages of change for outpatients who have had a myocardial infarction (MI). METHODS: This research was a quasi-experimental design with a nonequivalent control group pretest-posttest. The participants were 48 outpatients (experimental group=24, control group=24) recruited from one university hospital. They were randomly assigned to one of two groups: (a) an experimental group with telephone counseling (once a week) and text messaging (five times a week) using stages of change, and (b) a control group with traditional telephone counseling (once a month). Efficacy of the intervention was measured by comparing the two groups on smoking-related variables at 3 weeks and 12 weeks. RESULTS: At the 3-week and 12-week measurements, there were significant differences between the experimental and control groups on smoking cessation self-efficacy (p<.001), nicotine dependence (p<.001), CO levels (p<.001), and smoking cessation rates (p<.001). CONCLUSION: The results indicate that the smoking cessation program including telephone counseling and text messaging using stages of change is effective for outpatients after a MI. Further attention should be paid to the intensity of the smoking cessation program and periods for long-term follow-up.
Adult ; Carbon Monoxide/analysis ; Counseling/*methods ; Female ; Hospitals, University ; Humans ; Male ; Middle Aged ; Myocardial Infarction/*psychology ; Outpatients ; *Program Evaluation ; Self Efficacy ; *Smoking Cessation ; Telephone ; Text Messaging ; Time Factors ; Tobacco Use Disorder