Objective To propose a lead attention network-based ST-T change recognition algorithm to detect ECG ST-T changes accurately.Methods Firstly,heartbeat signals were extracted through R-wave localization,and a 12-lead heartbeat matrix was generated by correlation-based screening and merging to realize data augmentation.Secondly,a lead attention module was constructed by combining depthwise convolution(DWConv)with the channel attention squeeze-and-excitation block(SE-block)structure to perceive the differences in ST-T status among electrocardiogram leads.Thirdly,the mapping output by two independent attention modules was fused and splicing with the original signal residual was carried out,so that attention information extraction and original information transfer were enhanced effectively.Finally,SE-ResNet was used as the backbone network to extract signal features to complete the classification and identification of ST-T changes.To validate the recognition performance of the proposed algorithm for ST-T changes in ECG,the 12-lead ECG data of 97 472 patients containing different ECG rhythms were collected for ablation and comparison experiments at the First Affiliated Hospital of Army Medical University.Results The proposed algorithm achieved an AUC of 0.965 with a sensitivity of 90.51%,specificity of 90.23%,positive predictive value of 89.24%and overall accuracy of 90.36%on an independent test set.Comparative analysis demonstrated superior performance to four benchmark architectures,including VGG16,ResNet18,MobileNetV3-Small and ShuffleNet,in terms of both classification accuracy and computational efficiency.Conclusion The algorithm designed can accurately detect ST-T changes and can be used for wearable ECG automatic analysis to assist in the early warning of cardiovascular diseases in both acute and chronic patients and highland residents.[Chinese Medical Equipment Journal,2025,46(7):1-11]

Objective:To investigate the clinical characteristics of sepsis-induced myocardial injury and microbial distribution.Methods:It was a retrospective observational study conducted from Jan 2023 to Dec 2023 in the Department of Emergency Intensive Care Medicine, Changshu Hospital Affiliated to Soochow University. Patients meeting the sepsis 3.0 criteria were included, excluding those with underlying cardiovascular diseases or incomplete data. Patients were categorized into myocardial injury (SIMI) and non-myocardial injury (Non-SIMI) groups based on troponin levels. General patient information, laboratory results, microbial findings, and prognostic indicators were collected. Differences in clinical parameters between the two groups were compared. Factors showing statistical differences in univariate analysis were further analyzed using multivariable logistic regression to identify risk factors for SIMI. Conduct propensity score matching among Pulmonary infection patients who underwent bronchoalveolar lavage high-throughput sequencing to compare microbial distribution between groups. Bracken was used to estimate species-level abundance from Kraken2 results, and α and β diversity analyses were conducted on the metagenomic samples.Results:A total of 179 patients were included in the study, with 98 (54.4%) in the Non-SIMI group and 81 (45.5%) in the SIMI group. There were 69 deaths overall (38.5%), with 23 (23.7%) in the Non-SIMI group and 46 (56.8%) in the SIMI group (χ 2=20.347, P<0.01). The 28-day survival curve indicated survival rates in the SIMI group were significantly lower compared to the Non-SIMI group (Log Rank χ 2=21.270, P<0.01). Univariate analysis revealed that fungal infection rate ( P=0.007), C-reactive protein ( P=0.021), procalcitonin, blood urea nitrogen, creatinine, alanine transaminase, and lactate levels were higher in the SIMI group compared to the Non-SIMI group (all P<0.01), prothrombin time was prolonger ( P<0.01) and APACHEⅡ scores were higher ( P<0.01), while serum albumin, base excess, and platelet levels were lower (all P<0.01). Multivariable logistic regression analysis indicated that fungal infection ( OR=3.441, P=0.015) was a risk factor for SIMI, whereas base excess and platelets were protective factors ( OR=0.845, 0.988, both P<0.01). Comparison of bronchoalveolar lavage high-throughput sequencing results in the pulmonary infection subgroup showed the relative abundance of Haemophilus paraininfluenzae in Non-SIMI group was higher than SIMI group among the top 20 species ( P=0.013). There were no statistically significant differences in microbial αand β-diversity between the two groups. Conclusions:The incidence of SIMI is relatively highamong sepsis patients and it affects their prognosis. Risk factors for SIMI include fungal infection, decreased platelet count, and reduced base excess levels. Among patients with pulmonary infections, there is a lower risk of SIMI associated with Haemophilus influenzae infection.

Objective To propose a lead attention network-based ST-T change recognition algorithm to detect ECG ST-T changes accurately.Methods Firstly,heartbeat signals were extracted through R-wave localization,and a 12-lead heartbeat matrix was generated by correlation-based screening and merging to realize data augmentation.Secondly,a lead attention module was constructed by combining depthwise convolution(DWConv)with the channel attention squeeze-and-excitation block(SE-block)structure to perceive the differences in ST-T status among electrocardiogram leads.Thirdly,the mapping output by two independent attention modules was fused and splicing with the original signal residual was carried out,so that attention information extraction and original information transfer were enhanced effectively.Finally,SE-ResNet was used as the backbone network to extract signal features to complete the classification and identification of ST-T changes.To validate the recognition performance of the proposed algorithm for ST-T changes in ECG,the 12-lead ECG data of 97 472 patients containing different ECG rhythms were collected for ablation and comparison experiments at the First Affiliated Hospital of Army Medical University.Results The proposed algorithm achieved an AUC of 0.965 with a sensitivity of 90.51%,specificity of 90.23%,positive predictive value of 89.24%and overall accuracy of 90.36%on an independent test set.Comparative analysis demonstrated superior performance to four benchmark architectures,including VGG16,ResNet18,MobileNetV3-Small and ShuffleNet,in terms of both classification accuracy and computational efficiency.Conclusion The algorithm designed can accurately detect ST-T changes and can be used for wearable ECG automatic analysis to assist in the early warning of cardiovascular diseases in both acute and chronic patients and highland residents.[Chinese Medical Equipment Journal,2025,46(7):1-11]

Objective To investigate the risk factors for bronchopulmonary dysplasia(BPD)in twin preterm infants with a gestational age of<34 weeks,and to provide a basis for early identification of BPD in twin preterm infants in clinical practice.Methods A retrospective analysis was performed for the twin preterm infants with a gestational age of<34 weeks who were admitted to 22 hospitals nationwide from January 2018 to December 2020.According to their conditions,they were divided into group A(both twins had BPD),group B(only one twin had BPD),and group C(neither twin had BPD).The risk factors for BPD in twin preterm infants were analyzed.Further analysis was conducted on group B to investigate the postnatal risk factors for BPD within twins.Results A total of 904 pairs of twins with a gestational age of<34 weeks were included in this study.The multivariate logistic regression analysis showed that compared with group C,birth weight discordance of>25%between the twins was an independent risk factor for BPD in one of the twins(OR=3.370,95%CI:1.500-7.568,P<0.05),and high gestational age at birth was a protective factor against BPD(P<0.05).The conditional logistic regression analysis of group B showed that small-for-gestational-age(SGA)birth was an independent risk factor for BPD in individual twins(OR=5.017,95%CI:1.040-24.190,P<0.05).Conclusions The development of BPD in twin preterm infants is associated with gestational age,birth weight discordance between the twins,and SGA birth.

OBJECTIVE: This study was aimed at investigating the carrier rate of, and molecular variation in, α- and β-globin gene mutations in Hunan Province. METHODS: We recruited 25,946 individuals attending premarital screening from 42 districts and counties in all 14 cities of Hunan Province. Hematological screening was performed, and molecular parameters were assessed. RESULTS: The overall carrier rate of thalassemia was 7.1%, including 4.83% for α-thalassemia, 2.15% for β-thalassemia, and 0.12% for both α- and β-thalassemia. The highest carrier rate of thalassemia was in Yongzhou (14.57%). The most abundant genotype of α-thalassemia and β-thalassemia was -α ^3.7/αα (50.23%) and β ^IVS-II-654/β ^N (28.23%), respectively. Four α-globin mutations [CD108 (ACC>AAC), CAP +29 (G>C), Hb Agrinio and Hb Cervantes] and six β-globin mutations [CAP +8 (C>T), IVS-II-848 (C>T), -56 (G>C), beta nt-77 (G>C), codon 20/21 (-TGGA) and Hb Knossos] had not previously been identified in China. Furthermore, this study provides the first report of the carrier rates of abnormal hemoglobin variants and α-globin triplication in Hunan Province, which were 0.49% and 1.99%, respectively. CONCLUSION Our study demonstrates the high complexity and diversity of thalassemia gene mutations in the Hunan population. The results should facilitate genetic counselling and the prevention of severe thalassemia in this region.
Humans ; beta-Thalassemia/genetics* ; alpha-Thalassemia/genetics* ; Hemoglobinopathies/genetics* ; China/epidemiology* ; High-Throughput Nucleotide Sequencing

Objective: To explore the clinical effect of Woven EndoBridge (WEB) in the treatment of wide-neck bifurcation aneurysms. Methods: The clinical and imaging data of 11 patients with intracranial wide-neck bifurcation aneurysms treated by WEB alone at Department of Neurosurgery of the Northern Theater General Hospital from September 2017 to May 2018, were retrospectively analyzed. The patients were 7 males and 4 females, aged (54±11) years (ranged from 31 to 66 years). The aneurysms of 5 patients were located in the anterior communicating artery, 3 in the top of the basilar artery, and 3 in the bifurcation of the middle cerebral artery. The intraoperative and postoperative conditions of the patients were recorded, and the degree of aneurysm embolization was evaluated by WEB embolization aneurysm occlusion scale (WOS). Results: The intraoperative WEB release of all the 11 patients was good, with 3 cases of WOS grade A, 1 of grade B and 7 of grade C, with no intraoperative acute complications occurring. The imaging follow-up was not carried out in 1 patient due to economic reason, and the clinical follow-up was good until 3 years after the operation; 10 patients were followed up by imaging for 6 months to 3 years, and no postoperative complications occurred in the target treatment area. Among the 2 patients with WOS grade A and 1 patient with grade B during operation, according to the postoperative follow-up, all were WOS grade A; among the 7 patients with WOS grade C during operation, 4 were still of grade C and 3 were of grade D according to the follow-up. Among the 3 patients with WOS grade D, 1 patient received secondary embolization due to poor recurrence morphology, unstable hemodynamics and high possibility of rupture of aneurysm, stent assisted coil embolization was adopted, with good immediate effect; the other 2 cases had recurrent aneurysms, but the aneurysms had good morphology and stable hemodynamics, therefore, clinical follow-up was continued and no secondary surgery was performed. No complications occurred in all these 11 patients. Conclusions: The operation of treating unruptured intracranial wide-neck bifurcation aneurysms with WEB device alone is simple, and there is no need for anticoagulation and antiplatelet treatment before and after the operation, the clinical effect is being good. WEB device provides a new treatment option for intracranial wide-neck bifurcation aneurysms.
Embolization, Therapeutic ; Endovascular Procedures/methods* ; Female ; Humans ; Intracranial Aneurysm/surgery* ; Male ; Retrospective Studies ; Treatment Outcome

OBJECTIVE: To explore the association of serum Apelin level, silicosis stage and lung function in patients with occupational silicosis(hereinafter referred to as silicosis). METHODS: A case-control study was conducted. A total of 85 patients with silicosis were selected as the silicosis group(44, 28 and 13 patients with stage Ⅰ, Ⅱ and Ⅲ silicosis, respectively), and 120 healthy individuals without occupational hazard exposure were selected as the control group. Serum samples were collected from the cases of the two groups and the level of Apelin was determined by enzyme-linked immunosorbent assay. The pulmonary function of the silicosis group was examined. RESULTS: The median and the 25 th and 75 th percentiles \[M(P_(25),P_(75))\] of serum Apelin levels in the control group and silicosis group were 1.29(0.92, 1.77) and 0.80(0.62, 1.04) mg/L, respectively. The level of serum Apelin M(P_(25),P_(75)) in stage Ⅰ, Ⅱ and Ⅲ silicosis patients was 1.03(0.82, 1.31), 0.66(0.60, 0.80) and 0.50(0.30, 0.65) mg/L, respectively. The results of multiple linear regression analysis showed that the level of serum Apelin in the silicosis group was higher than that in the control group after excluding the influence of age and smoking(P<0.01). The level of serum Apelin decreased with the increase of silicosis stage in the silicosis group(P<0.001). Serum Apelin level in silicosis group was positively correlated with lung vital capacity, forced vital capacity, forced expiratory volume in the first second, and forced expiratory flow between 25% and 75%(all P<0.05). CONCLUSION: The lower level of serum Apein in silicosis patients, the more serious the disease and the more serious the damage to lung function. Apelin is of significance in the diagnosis, staging, treatment appraisal and prognostic evaluation of silicosis, and it can be use as a potential therapeutic target for silicosis.

Background:Clinical outcomes of undifferentiated arthritis (UA) are diverse,and only 40 ％ of patients with UA develop rheumatoid arthritis (RA) after 3 years.Discovering predictive markers at disease onset for further intervention is critical.Therefore,our objective was to analyze the clinical outcomes of UA and ascertain the predictors for RA development.Methods:We performed a prospective,multi-center study from January 2013 to October 2016 among Chinese patients diagnosed with UA in 22 tertiary-care hospitals.Clinical and serological parameters were obtained at recruitment.Follow-up was undertaken in all patients every 12 weeks for 2 years.Predictive factors of disease progression were identified using multivariate Cox proportional hazards regression.Results:A total of 234 patients were recruited in this study,and 17 (7.3％) patients failed to follow up during the study.Among the 217 patients who completed the study,83 (38.2％) patients went into remission.UA patients who developed RA had a higher rheumatoid factor (RF)-positivity (42.9％ vs.16.8％,x2=8.228,P=0.008),anti-cyclic citrullinated peptide (CCP) antibodypositivity (66.7％ vs.10.7％,x2 =43.897,P ＜ 0.001),and double-positivity rate of RF and anti-CCP antibody (38.1％ vs.4.1％,x2 =32.131,P ＜ 0.001) than those who did not.Anti-CCP antibody but not RF was an independent predictor for RA development (hazard ratio 18.017,95％ confidence interval:5.803-55.938;P ＜ 0.001).Conclusion:As an independent predictor of RA,anti-CCP antibody should be tested at disease onset in all patients with UA.

Objective: To investigate the effect of moxibustion at Shenque (CV 8) on fatigue in rats with chronic exercise-induced exhaustion. Methods: Thirty male Sprague-Dawley (SD) rats were randomly divided into a blank group, a model group and a moxibustion group, 10 rats in each group. Except rats in the blank group, the remaining rats were subjected to create long-term exhaustion models by repeated swimming. After successful modeling, rats in the moxibustion group received mild moxibustion at Shenque (CV 8) for 15 min, once every other day with a total of 10 times. Rats in the model group and the blank group did not receive moxibustion. At the end of the treatment, the exhausted times, and the body weight of rats before and after the experiment were compared among groups. The levels of blood malondialdehyde (MDA) and urea nitrogen (BUN), as well as the activities of aspartate transarninase (AST), alanine aminotransferase (ALT) and lactate dehydrogenase (LDH) were also measured by the automatic biochemical analyzer, 24 h after the exhausting excise. Results: The 10th swimming time was significantly longer in the moxibustion group than that in the model group (P<0.01). The increase rate of the body weight was lower in the rats of the moxibustion group than that in the model group before the 7th and the 10th exhausting excise (P<0.05, P<0.01). The levels of serum MDA and BUN, as well as the activities of AST, ALT and LDH in the model group were higher than those in the blank group (all P<0.01). The levels of serum MDA and BUN, as well as the activities of AST, ALT and LDH in the moxibustion group were lower than those in the model group (P<0.01). Conclusion: Moxibustion at Shenque (CV 8) can decrease the serum levels of MDA and BUN, as well as activities of AST, ALT and LDH in the long-term fatigue rats, thus to improve the symptoms of fatigue.