Objectives:To compare the efficacy of the combination of excimer laser coronary angioplasty(ELCA)and drug-coated balloon(DCB)for in-stent restenosis(ISR)and to evaluate the impact of neointimal tissue characteristics on treatment outcomes. Methods:A total of 96 ISR lesions from 86 patients who underwent optical coherence tomography(OCT)evaluation and DCB with or without ELCA treatment at The First Medical Center of Chinese PLA General Hospital from January 2019 to May 2023 were retrospectively analyzed.ISR lesions were divided into ELCA+DCB group(n=30)and DCB group(n=66).Additionally,ISR lesions were classified as homogeneous and non-heterogeneous patterns based on the OCT characteristics of the neointimal tissue,and the impact on acute lumen gains was compared between different ISR patterns.Acute lumen gain(ΔMLA)was defined as the changes in minimum lumen area before and after the intervention. Results:The ELCA+DCB group had a significantly greater ΔMLA than the DCB group([3.2±0.8]mm2 vs.[2.6±1.4]mm2,P=0.015).Among the ISR with a homogeneous pattern,the ΔMLA of the ELCA+DCB group was significantly greater than that of the DCB group([3.0±0.9]mm2 vs.[2.2±1.1]mm2,P=0.030).There was no significant difference in ΔMLA between the two ISR groups with the non-homogeneous pattern([3.4±0.7]mm2 vs.[3.2±1.5]mm2,P=0.533).There was no death,the rate of target lesion revascularization was similar between the patients with lesions receiving DCB treatment and patients receiving ELCA +DCB treatment(7.4%vs.4.2%,P＞0.05). Conclusions:The combination of ELCA and DCB is an effective strategy for treating ISR,which can achieve greater acute lumen gain compared to DCB treatment alone,especially for the treatment of homogenous ISR pattern characterized by OCT.

Objective:To investigate the characteristics of neointimal hyperplasia (NIH) in patients with in-stent restenosis (ISR) over 5 years post-drug-eluting stent (DES) implantation based on optical coherence tomography (OCT).Methods:In this cross-sectional study, patients with DES-ISR who underwent OCT examination at PLA General Hospital between March 2010 and March 2022 were retrospectively included. All patients were divided into≤5 years DES-ISR group and>5 years DES-ISR group according to the time interval after DES implantation. Quantitative and qualitative analyses were conducted on OCT images to compare the clinical data and lesion characteristics of two patient groups. Furthermore, the independent clinical predictive factors of in-stent neoatherosclerosis (ISNA) were analyzed by multivariable logistic regression.Results:A total of 230 DES-ISR patients with 249 lesions were included, with an age of (63.1±10.4) years and 188 males (81.7%). The median interval after DES implantation was 6 (2, 9) years. There were 117 patients (122 ISR lesions) in the≤5 years DES-ISR group, and 113 patients (127 ISR lesions) in the>5 years DES-ISR group. Compared with≤5 years DES-ISR,>5 years DES-ISR showed more heterogeneous patterns (65.4% (83/127) vs. 48.4% (59/122), P=0.007), diffuse patterns (46.5% (59/127) vs. 31.2% (38/122), P=0.013), macrophage accumulations (44.1% (56/127) vs. 31.2% (38/122), P=0.035) in NIH and higher prevalence of ISNA (83.5% (106/127) vs. 72.1% (88/122), P=0.031). According to multivariable logistic regression, the independent predictive factor for ISNA was female ( OR=0.44, 95% CI 0.21-0.90, P=0.026). Female ( OR=0.48, 95% CI 0.23-0.99, P=0.046) and low-density lipoprotein cholesterol level ( OR=1.62, 95% CI 1.01-2.59, P=0.046) were independent predictive factors, respectively, for lipid ISNA. Calcified ISNA was independently associated with time interval of post-DES implantation ( OR=1.18, 95% CI 1.07-1.29, P=0.001). Conclusion:DES-ISR patients with a time interval of>5 years after stent implantation have a higher prevalence of ISNA and more complex lesions. Gender, the level of low-density lipoprotein cholesterol, and the time interval post-DES implantation are independently correlated with ISNA, lipid ISNA, and calcified ISNA.

Objective:To explore the effects of standard meal and treadmill exercise test on body surface gastrointestinal electrogram in healthy subjects, and to provide more evidence for the clinical application of gastrointestinal electrogram.Methods:From January to June 2021, a total of 100 healthy asymptomatic volunteers underwent gastrointestinal electrogram after fasting, standard meal and treadmill exercise test. After the subjects fasted for more than 8 hours, the gastrointestinal electrogram was performed after the subjects were lying flat, quiet, and breathing steadily, electrodes were placed on the the body surface projection positions of the gastric body, the lesser curvature, the greater curvature, the antrum, the ascending colon, the transverse colon, the descending colon, and the rectum. The fasting gastrointestinal electrogram was recorded for 6 min. Then lay for 5 to 10 min after the standard meal (100 g bread, 250 mL milk), the postprandial gastrointestinal electrogram was recorded for 6 min. And lay for 5 to 10 min after treadmill exercise test, then the postexercise gastrointestinal electrogram was recorded for 6 min. The frequency and amplitude of gastrointestinal electrogram waveforms of the three time points were compared, and the percentage of gastrointestinal electrical rhythm disorder, and slow wave frequency instability coefficient were also compared. Stratified analysis of gastric motility was performed according to age, sex and body mass index. Paired t-test, Pearson Chi-squared test, continuity correction Chi-squared test, Fisher′s exact method and Speraman correlation were used for statistical analysis. Results:The standard meal did not obviously affect the mean frequency of the gastric electrocardiogram, however the mean amplitude of gastric electrocardiogram significantly increased after standard meal compared with that of fasting, especially in the electrodes placed at lesser curvature((148.5±8.7) μV vs.(113.2±5.0)μV ), greater curvature((176.3±11.3) μV vs.(126.1±7.3) μV), and antrum((161.8±10.6) μV vs.(117.6±4.91) μV), and the differences were statistically significant( t=4.63, 4.63 and 3.99, all P< 0.001). There were no significant changs in rhythm and stability of the gastric electrocardiogram. The mean frequency of intestinal electrograms at the ascending colon, the transverse colon, the descending colon, and the rectum decreased after the standard meal compared with that of fasting ((10.8±0.2) count per minute(cpm) vs.(11.5±0.2) cpm, (10.5±0.2) cpm vs.(11.2±1.6) cpm, (10.9±0.2) cpm vs.(11.7±0.2) cpm, (11.1±0.2) cpm vs.(11.8±0.2) cpm), and the differences were statistically significant ( t=3.82, 4.55, 4.39, and 3.98, all P<0.001); the mean amplitude of the ascending colon, the transverse colon, and the rectum increased compared with that of fasting ((129.8±6.1) μV vs. (110.9±6.4) μV, (119.6±4.1) μV vs. (101.3±4.7) μV, (124.1±4.6) μV vs. (106.2±5.7) μV), and the differences were statistically significant ( t=2.62, 3.76, and 3.16; P=0.010, <0.001, =0.002); and the number of leads with enteroelectric rhythm disorder increased (398 vs. 389, the total number of leads is 400), and the difference was statistically significant( χ2=7.31, P=0.026). The mean frequency of gastric electricity after treadmill exercise in electrode placed at antrum increased compared with that after standard meal ((3.4±0.4) cpm vs.(3.3±0.3) cpm), and the differences were statistically significant( t=2.45, P=0.016), and the mean amplitude of gastric electricity in electrodes placed at gastric body, lesser curvature and antrum increased compared with those after standard meal((160.2±8.6) μV vs. (133.9±6.4) μV, (178.1±10.0) μV vs. (148.5±8.7) μV, (202.5±10.2) μV vs. (161.8±10.6) μV), and the differences were statistically significant ( t=2.30, 2.35, and 2.48; P=0.024, 0.021, and 0.015). Treadmill exercise affected the rhythm and stability of gastric electricity, and the number of electrodes with instable and abnormal coefficient frequency slow-wave significantly increased (25 vs. 1, the total number of electrodes is 400), and the difference was statistically significant( χ2=22.90, P<0.001). There was no significant change in the mean frequency of the colonic electricity after treadmill exercise compared with that after standard meal, however the mean amplitude of intestinal electrical waveform at the ascending colon, the transverse colon, the descending colon, and the rectum increased compared with those after standard meal((171.2±8.4) μV vs. (129.8±6.1) μV, (166.1±7.7) μV vs. (119.6±4.1) μV, (147.2±7.2) μV vs. (121.1±4.9) μV, (149.6±7.3) μV vs. (124.1±4.6) μV), and the differences were statistically significant( t=3.51, 5.49, 3.09, and 2.83; P=0.001, <0.001, =0.003, and=0.006), which affected the rhythm and stability of the colonic electricity, and the number of electrodes with instable and abnormal coefficient frequency slow-wave significantly increased (10 vs. 3, the total number of electrodes is 400, χ2=4.04, P=0.040). Gender was correlated with mean frequency of gastric electricity after standrdmeal and treadmill exercise test and mean amplitude of fasting and standard postprandial gastric electricity( r=0.242, -0.272, 0.286, 0.242; P=0.015, 0.006, 0.004, 0.015), and with mean amplitude of fasting and standard postprandial electricity( r=0.225, 0.460; P=0.024, <0.001). Age was only associated with mean frequency of fasting gastric electricity( r=-0.214, P=0.033). Body mass index was correlated with mean gastric electrical amplitude after fasting, standard meal and treadmill exercise( r=-0.347, -0.260, -0.211; P<0.001, =0.009, =0.036), as well as with the mean gastric electricity frequency after treadmill exercise ( r=0.242, P=0.016). Body mass index was correlated with the mean amplitude and frequency of fasting and standard postprandial intestinal electricity ( r=-0.261, -0.296, -0.400, -0.286; P=0.009, =0.003, < 0.001, =0.003). In the healthy volunteers with female gender and body mass index < 24 kg/m 2, there were statistically significant differences in the changes of gastric motility after standard meal (Fisher′s exact method, P=0.022 and 0.024). Conclusion:Both standard meal and treadmill exercise test affect gastrointestinal electrical activity, and exercise caused more changes in gastrointestinal electrical activity than standard meal.

Objective: To investigate the predictive value of radiomics features based on cardiac magnetic resonance (CMR) cine images for left ventricular adverse remodeling (LVAR) after acute ST-segment elevation myocardial infarction (STEMI). Materials and Methods: We conducted a retrospective, single-center, cohort study involving 244 patients (random-split into 170 and 74 for training and testing, respectively) having an acute STEMI (88.5% males, 57.0 ± 10.3 years of age) who underwent CMR examination at one week and six months after percutaneous coronary intervention. LVAR was defined as a 20% increase in left ventricular end-diastolic volume 6 months after acute STEMI. Radiomics features were extracted from the oneweek CMR cine images using the least absolute shrinkage and selection operator regression (LASSO) analysis. The predictive performance of the selected features was evaluated using receiver operating characteristic curve analysis and the area under the curve (AUC). Results: Nine radiomics features with non-zero coefficients were included in the LASSO regression of the radiomics score (RAD score). Infarct size (odds ratio [OR]: 1.04 (1.00–1.07); P = 0.031) and RAD score (OR: 3.43 (2.34–5.28); P < 0.001) were independent predictors of LVAR. The RAD score predicted LVAR, with an AUC (95% confidence interval [CI]) of 0.82 (0.75–0.89) in the training set and 0.75 (0.62–0.89) in the testing set. Combining the RAD score with infarct size yielded favorable performance in predicting LVAR, with an AUC of 0.84 (0.72–0.95). Moreover, the addition of the RAD score to the left ventricular ejection fraction (LVEF) significantly increased the AUC from 0.68 (0.52–0.84) to 0.82 (0.70–0.93) (P = 0.018), which was also comparable to the prediction provided by the combined microvascular obstruction, infarct size, and LVEF with an AUC of 0.79 (0.65–0.94) (P = 0.727). Conclusion Radiomics analysis using non-contrast cine CMR can predict LVAR after STEMI independently and incrementally to LVEF and may provide an alternative to traditional CMR parameters.

Objective:To explore the risk stratification value of coronary CT angiography (CCTA) in patients with non-obstructive coronary artery disease based on cluster analysis and to identify the high-risk population of cardiovascular adverse events in patients.Methods:Prospective consecutive patients with suspected coronary artery disease who underwent CCTA examination and were confirmed as non-obstructive coronary heart disease were enrolled in the General Hospital of Chinese PLA from January 1, 2015 to December 31, 2017. The clinical characteristics and CCTA diagnosis information of patients were collected, and then follow-up was performed to obtain adverse cardiovascular events. Firstly, the cluster analysis based on CCTA information divided the patients into different groups. Then, the risk of adverse cardiovascular events was compared between different groups. Finally, segment involvement score (SIS) score, Leiden score, SIS score combined with clinical characteristics, Leiden score combined with clinical characteristics, and cluster information combined with clinical characteristics were used to stratify the population, and the concordance index-time curve and net reclassification improvement (NRI) index were described to compare the risk stratification ability of the five different models.Results:A total of 3 402 patients with non-obstructive coronary artery disease were included in the study, of whom 104 had adverse cardiovascular events during the follow-up period. Cluster analysis based on CCTA information classified patients into 3 different groups. There were statistically significant differences in clinical characteristics, CCTA information, and survival outcomes between groups ( P<0.05). The results of the concordance index-time curve showed that the risk stratification ability of CCTA cluster information combined with clinical characteristics was better than the current SIS score, Leiden score, SIS score combined with clinical characteristics, Leiden score combined with clinical characteristics. At the 1-year and 2-year time cutoffs, cluster information combined with clinical characteristics showed a positive increase in INR compared with the first four models (INR was 0.248 and 0.293, 0.316 and 0.293, 0.147 and 0.003, 0.192 and 0.007, respectively). Conclusion:CCTA based on cluster analysis has a good risk stratification value for patients with non-obstructive coronary artery disease and is helpful for individualized intervention.

This study introduced the current testing content and standards of ECG medical electronic instruments, combined with actual clinical needs, and discussed the comprehensive verification and evaluation protocol for ECG medical electronic instruments. The protocol mainly includes hardware performance testing, automatic diagnostic function testing and clinical application evaluation. The protocol emphasizes the clinical practicality and importance of the comprehensive verification and evaluation program, and provides a reference for the institutions involved in the program.
Electrocardiography ; Electronics, Medical ; Reference Standards

Objective: Evidence supports the efficacy of coronary computed tomography angiography (CCTA)-based risk scores in cardiovascular risk stratification of patients with suspected coronary artery disease (CAD). We aimed to compare two CCTAbased risk score algorithms, Leiden and Confirm scores, in patients with diabetes mellitus (DM) and suspected CAD. Materials and Methods: This single-center prospective cohort study consecutively included 1241 DM patients (54.1% male, 60.2 ± 10.4 years) referred for CCTA for suspected CAD in 2015–2017. Leiden and Confirm scores were calculated and stratified as < 5 (reference), 5–20, and > 20 for Leiden and < 14.3 (reference), 14.3–19.5, and > 19.5 for Confirm. Major adverse cardiovascular events (MACE) were defined as the composite outcomes of cardiovascular death, nonfatal myocardial infarction (MI), stroke, and unstable angina requiring hospitalization. The Cox model and Kaplan–Meier method were used to evaluate the effect size of the risk scores on MACE. The area under the curve (AUC) at the median follow-up time was also compared between score algorithms. Results: During a median follow-up of 31 months (interquartile range, 27.6–37.3 months), 131 of MACE were recorded, including 17 cardiovascular deaths, 28 nonfatal MIs, 64 unstable anginas requiring hospitalization, and 22 strokes. An incremental incidence of MACE was observed in both Leiden and Confirm scores, with an increase in the scores (log-rank p < 0.001). In the multivariable analysis, compared with Leiden score < 5, the hazard ratios for Leiden scores of 5–20 and > 20 were 2.37 (95% confidence interval [CI]: 1.53–3.69; p < 0.001) and 4.39 (95% CI: 2.40–8.01; p < 0.001), respectively, while the Confirm score did not demonstrate a statistically significant association with the risk of MACE. The Leiden score showed a greater AUC of 0.840 compared to 0.777 for the Confirm score (p < 0.001). Conclusion CCTA-based risk score algorithms could be used as reliable cardiovascular risk predictors in patients with DM and suspected CAD, among which the Leiden score outperformed the Confirm score in predicting MACE.

Objective:To develop a pretest probability model of obstructive coronary artery disease with machine learning based on multi-site Chinese population data.Methods:Chinese regiStry in early deTection and Risk strAtificaTion of coronary plaques (C-Strat) study is a prospective multi-center cohort study, in which consecutive patients with suspected obstructive coronary artery disease and ≥64 detector row coronary computed tomography angioplasty (CCTA) evaluation were included. Data from the patients were randomly split into a training set (70%) and a test set (30%). More than 50% of coronary artery stenosis by CCTA was defined as positive outcome. A boosted ensemble algorithm (XGBoost), 10-fold cross-validation and Bayesian optimization were used to establish a new prediction model-CARDIACS(pretest probability model from Chinese registry in eARly Detection and rIsk stratificAtion of Coronary plaques Study), and a logistic regression was used to establish a model-LOGISTIC in training set. The test set was used for validation and comparison among CARDIACS, LOGISTIC, UDFM (updated Diamond-Forrester Model) and DFCASS(Diamond-Forrester and CASS).Results:The study population included 29 455 patients with age of (57.0±9.7) years and 44.8% women, of whom 19.1% (5 622/29 455) had obstructive coronary artery disease. For CARDIACS, the age, the reason for visit and the body mass index (BMI) were the most important predictive variables. In the independent test set, the area under the curve (AUC) of CARDIACS was 0.72 (95% CI 0.70-0.73), which was significantly superior to that of LOGISTIC (AUC 0.69, 95% CI 0.68-0.71, P=0.015), UDFM (AUC 0.64, 95% CI 0.62-0.65, P<0.001) and DFCASS (AUC 0.66, 95% CI 0.64-0.67, P<0.001), respectively. Conclusion:Based on Chinese population, the study developed a new pretest probability model--CARDIACS, which was superior to the traditional models. CARDIACS is expected to assist in the clinical decision-making for patients with stable chest pain.

This study established a rapid ECG screening system through the application of wearable ECG equipment. The closed-loop and self-service process of ECG inspection, data collection, transmission and printing have been realized. The new rapid ECG screening system docking with HIS system in the hospital, forming a new intelligent mode of rapid ECG screening. This paper introduces the design of the intelligent mode of ECG rapid screening from the aspects of hardware, software, wearable ECG examination equipment, and briefly describes its implementation path and technical scheme. With the rapid ECG screening system, human power can be saved, the timeliness of ECG examination can be enhanced. The level of ECG diagnosis in the basic units can be improved through building a multiple medical centers which is rely on the cloud platform.
Electrocardiography ; Equipment Design ; Humans ; Research ; Software ; Wearable Electronic Devices

OBJECTIVES: This study evaluated the prognostic power of serum uric acid (UA) in predicting adverse events in elderly acute coronary syndrome (ACS) patients with diabetes mellitus (DM). METHODS: The analysis involved 718 ACS patients ‍>80 years old whose general clinical data and baseline blood biochemical indicators were collected prospectively from January 2006 to December 2012. These patients were classified into two groups based on DM status, and then followed up after discharge. The Kaplan-Meier method was used for major adverse cardiac event (MACE) rates and all-cause mortality. Multivariate Cox regression was performed to analyze the relationship between UA level and long-term clinical prognosis. Receiver operating characteristic (ROC) curves were analyzed to predict the cutoff value of UA in elderly ACS patients with DM. There were 242 and 476 patients in the DM and non-DM (NDM) groups, respectively, and the follow-up time after discharge was 40‒120 months (median, 63 months; interquartile range, 51‒74 months). RESULTS: The all-cause mortality, cardiac mortality, and MACE rates in both DM and NDM patients were higher than those in the control group ( CONCLUSIONS Serum UA level is a strong independent predictor of long-term all-cause death and MACE in elderly ACS patients with DM.