Objective To understand the current status of low-density lipoprotein cholesterol (LDL-C) control in patients after coronary artery bypass grafting (CABG). Methods Clinical data of patients who underwent isolated CABG in Beijing Anzhen Hospital in 2023 were collected. All patients returned to our hospital approximately one year after surgery (10-13 months) for a lipid level recheck. We analyzed their LDL-C attainment status and influencing factors. Patients were categorized into two groups based on whether their LDL-C met the target: a LDL-C attainment group and a LDL-C non-attainment group. Results This study included 1456 patients who underwent CABG, including 320 females and 1136 males, with an average age of (61.41±9.12) years. One year post-surgery, 234 patients achieved the LDL-C target, with an attainment rate of 16.07%. The proportion of patients in the LDL-C attainment group who were ultra-high risk (77.35% vs. 92.06%, P＜0.001), female (16.24% vs. 23.08%, P=0.021), and those with comorbid hypertension (55.98% vs. 63.18%, P=0.038) was significantly lower than those in the LDL-C non-attainment group. Additionally, the baseline body mass index (BMI) [(25.37±3.24) kg/m2 vs. (26.03±3.56) kg/m2, P=0.017], total cholesterol levels [(3.30±0.84) mmol/L vs. (4.01±1.03) mmol/L, P＜0.001], LDL-C [(1.62±0.63) mmol/L vs. (2.25±0.85) mmol/L, P＜0.001], and high-density lipoprotein cholesterol [(0.98±0.26) mmol/L vs. (1.02±0.24) mmol/L, P=0.049] upon admission in the attainment group were all lower than those in the non-attainment group. Moreover, the lipid-lowering drug usage rate in the attainment group (100.00% vs. 96.24%, P=0.003) and the proportion using two types of drugs together (25.21% vs. 10.72%, P＜0.001) were both higher than those in the non-attainment group, while the statin monotherapy rate was lower than that in the non-attainment group (74.79% vs. 85.19%, P＜0.001). Logistic regression analysis showed that baseline BMI (OR=0.928, P=0.012) and baseline LDL-C levels (OR=0.207, P<0.001), patient cardiovascular risk stratification (OR=0.155, P<0.001) and lipid-lowering drug treatment regimen (OR=3.758, P<0.001) are significant factors affecting the LDL-C control status. Conclusion The LDL-C compliance rate of patients undergoing CABG is at a relatively low level 1 year after surgery. Patients with very high risk of atherosclerotic cardiovascular disease, high baseline LDL-C levels, and overweight or obesity should be strengthened lipid management. For these patients, the intensity of lipid-lowering drug use or combination medication should be increased upon discharge.

Objective To investigate the value of intravoxel incoherent motion diffusion-weighted imaging(IVIM-DWI)in predicting the clinical and pathological features of prostate cancer(PCa).Methods We recruited 47 patients who underwent bpMRI combined with IVIM-DWI in our hospital from July 2022 to October 2023 and pathologically confirmed with PCa.Among these cases,20 were transitional zone PCa(TZ-PCa),and 27 were peripheral zone PCa(PZ-PCa).According to the International Society of Urological Pathology(ISUP)risk grades,the patients were divided into high-risk group(ISUP≥3)and low-risk group(ISUP≤2).Differences in the risk levels between TZ-PCa group and PZ-PCa group were compared.Factors including age,total prostate-specific antigen(tPSA),diffusion coefficient(D)value,pseudo diffusion coefficient(D*)value,perfusion fraction(F)value,and apparent diffusion coefficient(ADC)as independent variables were compared between the two groups.Binary logistic regression analysis was further used to identify the factors associated with high or low risk of PCa.Receiver operation characteristic(ROC)curves were plotted to evaluate the diagnostic efficacy of PSA,D value,anatomical zones,and the combined model of PSA+D value+anatomical zones in predicting the risk level of PCa.Results The risk level was higher in PZ-PCa group than in TZ-PCa group(P=0.015).Binary logistic regression analysis showed that the tPSA level in the high-risk group of PCa was higher than that in the low-risk group(OR=1.026,95％CI:1.004-1.049,P=0.014),but the Dmean value was lower than that in the low-risk group(OR=0.993,95％CI:0.987-0.999,P=0.034).PCa in the high-risk group was more distributed in the peripheral zone(OR=5.250,95％CI:1.468-18.772,P=0.023).The diagnostic efficacy of the combined model(AUC=0.887,95％CI:0.787-0.987)was higher than that of tPSA,Dmean,or anatomical partitioning alone(P=0.001,0.043,and 0.003,respectively).Conclusion PZ-PCa has a higher risk level than TZ-PCa.Combining bpMRI localization of anatomical zones with PSA and D value provides the highest efficacy in predicting the risk level of PCa,which can potentially support the development of precise and personalized clinical diagnosis and treatment strategies for PCa.

Rheumatoid arthritis(RA)is a chronic autoimmune disease with a high risk of disability.Macrophages,as important immune cells,participate in the regulation of inflammatory response and bone homeostasis in RA by polarization to different phenotypes.This article reviewed the etiology and pathogenesis of RA in TCM.It was found that imbalance in macrophage polarization is a key factor contributing to inflammation and imbalance in bone homeostasis in RA.During the development of RA,M1 and M2 macrophages have different characteristics of yin and yang attributes and play different roles,which are similar to the connotation of mutual opposition,mutual restriction and mutual transformation of yin and yang theory of TCM.Based on yin-yang theory of TCM,it is proposed to regulate the balance of yin and yang and restore the homeostasis of macrophage to delay the progression of RA,hoping to provide ideas for clinical treatment of RA.

Objective To analyze the distribution characteristics and influencing factors of ultra-long hospitalization in malignant tumor patients and to explore strategies to reduce the average length of stay and enhance the efficiency of medical re-source utilization.Methods Ultra-long hospitalization was defined as the 99th percentile of hospital stay duration(P99=31 days).Data from patients discharged with malignant tumors in a specialized cancer hospital in 2024 were collected.The distribu-tion characteristics and influencing factors were analyzed using chi-square tests and logistic stepwise regression.Results Among the 36 097 patients with malignant tumors,the average length of stay was 4.95 days,with 375 cases classified as ultra-long hospi-talizations,accounting for 1.04％.These patients were predominantly over 55 years old,with a higher proportion of males.Pa-tients with stage Ⅲ malignant tumors,primary tumors classified as T2～T3,and primary sites in the esophagus,pancreas,and maxillofacial regions had a higher incidence of ultra-long hospitalizations.Significant factors influencing ultra-long hospitalization included treatment modality,complications(OR=20.319),number of discharge diagnoses(OR=6.915),ICU transfers(OR=4.714),unplanned reoperations(OR=4.416),tumor type,extent,and stage.Conclusion Medical institutions are advised to address the influencing factors of ultra-long hospitalizations by optimizing diagnostic and treatment processes,enhan-cing quality control systems,establishing early warning mechanisms,and strengthening information systems.These measures aim to improve the standardization of malignant tumor diagnosis and treatment,ensuring patient safety.

Objective:To evaluate the ability of ENDOANGEL artificial intelligence system to predict invasion depth and differentiation status of early gastric cancer using more diverse multi-center videos, and to test the performance of the new system upgraded from ENDOANGEL.Methods:Based on the completed 2020 man-machine competition for early gastric cancer diagnosis using single-center videos, the second man-machine competition was conducted in 2022, involving 30 endoscopists from 30 hospitals across 10 Chinese provinces. A multi-center video cohort was retrospectively collected from 12 institutions in 8 provinces/municipalities in China. The study proceeded in 3 stages. First, the ENDOANGEL was re-tested on multi-center videos, its performance on single and multi-center videos was compared, then the ENDOANGEL was upgraded to ENDOANGEL-2022. Second, the second man-machine competition was conducted between ENDOANGEL-2022 and 30 endoscopists using multi-center videos, and the performance between ENDOANGEL-2022, ENDOANGEL and endoscopists on multi-center videos were compared. Third, the ENDOANGEL-2022 was re-tested on the single-center videos previously collected in 2020, its performance on single and multi-center videos was also compared.Results:Compared with the performance on single-center videos, the sensitivity of ENDOANGEL for predicting submucosal invasion of early gastric cancer decreased significantly [18.18% (2/11) VS 70.00% (7/10), P=0.030], but demonstrated comparable ability to predict undifferentiated type of early gastric cancer ( P>0.05). On multi-center videos, in the respect of predicting submucosal invasion of early gastric cancer, the sensitivity of ENDOANGEL-2022 was higher than that of ENDOANGEL [40.00% (4/10) VS 18.18% (2/11), P=0.361], but inferior to that of 30 endoscopists [40.00% VS 52.04% (95% CI: 43.70%-60.38%), P<0.001]. The specificity of ENDOANGEL-2022 was lower than that of ENDOANGEL [82.86% (29/35) VS 100.00% (34/34), χ2=4.41, P=0.036] and higher than that of 30 endoscopists [82.86% VS 68.97% (95% CI: 60.83%-77.11%), P=0.018], the accuracy of ENDOANGEL-2022 was lower than that of ENDOANGEL [73.33% (33/45) VS 80.00% (36/45), χ2=0.56, P=0.455] and higher than that of 30 endoscopists [73.33% VS 65.30% (95% CI: 60.61%-69.99%), P=0.018]. In the respect of predicting undifferentiated type of early gastric cancer, the sensitivity of ENDOANGEL-2022 was higher than that of ENDOANGEL [71.43% (5/7) VS 57.14% (4/7), P>0.999] and 30 endoscopists [71.43% VS 63.11% (95% CI: 55.58%-70.64%), P=0.031], the specificity of ENDOANGEL-2022 was lower than that of ENDOANGEL [76.32% (29/38) VS 78.95% (30/38), χ2=0.08, P=0.783] and higher than that of 30 endoscopists [76.32% VS 65.27% (95% CI: 59.10%-71.44%), P=0.004],the accuracy of ENDOANGEL-2022 was similar to that of ENDOANGEL [75.56% (34/45) VS 75.56% (34/45), χ2=0.00, P>0.999] and higher than that of 30 endoscopists [75.56% VS 65.10% (95% CI: 59.96%- 70.24%), P<0.001]. Compared with performance in single center videos, the sensitivity [40.00% VS 60.00%(6/10), P=0.656], specificity [82.86% VS 93.75% (15/16), χ2=0.37, P=0.542] and accuracy [73.33% VS 80.77% (21/26), χ2=0.50, P=0.479] of ENDOANGEL-2022 for predicting submucosal invasion of early gastric cancer decreased; in predicting undifferentiated type of early gastric cancer, the sensitivity of ENDOANGEL-2022 increased [71.43% VS 37.50% (3/8), P=0.315], while the specificity [76.32% VS 100.00% (18/18), χ2=3.48, P=0.062] and accuracy [75.56% VS 80.77% (21/26), χ2=0.26, P=0.612] decreased. Conclusion:Multi-center cases introduce greater heterogeneity that may reduce artificial intelligence prediction accuracy, but the artificial intelligence system still outperforms endoscopists.

Objective To analyze the distribution characteristics and influencing factors of ultra-long hospitalization in malignant tumor patients and to explore strategies to reduce the average length of stay and enhance the efficiency of medical re-source utilization.Methods Ultra-long hospitalization was defined as the 99th percentile of hospital stay duration(P99=31 days).Data from patients discharged with malignant tumors in a specialized cancer hospital in 2024 were collected.The distribu-tion characteristics and influencing factors were analyzed using chi-square tests and logistic stepwise regression.Results Among the 36 097 patients with malignant tumors,the average length of stay was 4.95 days,with 375 cases classified as ultra-long hospi-talizations,accounting for 1.04％.These patients were predominantly over 55 years old,with a higher proportion of males.Pa-tients with stage Ⅲ malignant tumors,primary tumors classified as T2～T3,and primary sites in the esophagus,pancreas,and maxillofacial regions had a higher incidence of ultra-long hospitalizations.Significant factors influencing ultra-long hospitalization included treatment modality,complications(OR=20.319),number of discharge diagnoses(OR=6.915),ICU transfers(OR=4.714),unplanned reoperations(OR=4.416),tumor type,extent,and stage.Conclusion Medical institutions are advised to address the influencing factors of ultra-long hospitalizations by optimizing diagnostic and treatment processes,enhan-cing quality control systems,establishing early warning mechanisms,and strengthening information systems.These measures aim to improve the standardization of malignant tumor diagnosis and treatment,ensuring patient safety.

With the continuous development of society, a large number of new chemicals are continuously emerging, which presents a challenge to current risk assessment and safety management of chemicals. Traditional toxicology research methods have certain limitations in quickly, efficiently, and accurately assessing the toxicity of many chemicals, and cannot meet the actual needs. In response to this challenge, computational toxicology that use mathematical and computer models to achieve the prediction of chemical toxicity has emerged. In the meantime, as researchers increasingly pay attention to understanding the interaction mechanisms between exogenous chemical substances and the body from the system level, and multiomics technologies develop rapidly such as genomics, transcriptomics, proteomics, and metabolomics, huge amounts of data have been generated, providing rich information resources for studying the interactions between chemical substances and biological molecules. System toxicology and network toxicology have also developed accordingly. Of these, network toxicology can integrate these multiomics data to construct biomolecular networks, and then quickly predict the key toxicological targets and pathways of chemicals at the molecular level. This paper outlined the concept and development of network toxicology, summarized the main methods and supporting tools of network toxicology research, expounded the application status of network toxicology in studying potential toxicity of exogenous chemicals such as agricultural chemicals, environmental pollutants, industrial chemicals, and foodborne chemicals, and analyzed the development prospects and limitations of network toxicology research. This paper aimed to provide a reference for the application of network toxicology in other fields.

Objective To evaluate the impact of the"Surgical Quality and Safety Improvement Initiative"by analyzing changes in surgical quality and safety indicators at a tertiary hospital in Tianjin,and to provide policy recommendations for further enhancing surgical quality improvement pathways.Methods Surgical quality and safety monitoring data from 2022 to 2024 were collected from a tertiary hospital in Tianjin.Interrupted time series analysis(ITSA)was employed to assess the effects of im-provement measures on surgical quality and safety outcomes.Results Following implementation of the initiative,perioperative complication rates showed a declining trend(β3=-0.051,P＜0.05),unplanned reoperation rates significantly decreased(β2=-0.121,P＜0.05),and surgical mortality rates markedly declined(β2=-0.086,P＜0.05),indicating that the man-agement measures effectively improved hospital surgical quality and safety over the study period.Conclusion The"Surgical Quality and Safety Improvement Initiative,"which established a comprehensive,staff-involved pathway for continuous surgical quality improvement,successfully enhanced surgical quality and safety.Recommendations include emphasizing frontline staff par-ticipation in quality management,strengthening data monitoring and feedback systems,implementing reasonable performance in-centives to motivate systemic improvement,and leveraging health information technology to support refined surgical management.

Objective To comparatively evaluate the diagnostic value of metagenomic next-generation sequencing(mNGS)versus conventional microbial culture in spinal infections.Methods A cross-section design was conducted on 82 consecutive patients with suspected spinal infections treated between February 2022 and January 2024 at Jiangbei Branch of First Affiliated Hospital of Army Medical University(Third Military Medical University).Microbiological culture,histopathological examination,and mNGS results from infected specimens were analyzed.Clinical diagnosis,primarily based on clinical manifestations,laboratory tests and radiologic features combined with medical history,was defined as the gold standard,and then the diagnostic performance,including sensitivity and specificity,were compared between mNGS and microbial culture.Results Among the 82 patients,definitive microbiological evidence was identified in 70 cases,and mNGS demonstrated a significantly higher detection rate than microbial culture(64 vs 36 cases,78.05％vs 43.9％,P<0.05).mNGS also obtained obviously higher sensitivity,accuracy,and negative predictive value(NPV),and notably lower positive predictive value(PPV)when compared to conventional microbial culture(all P<0.05).When stratified by infection type,mNGS obtained significantly higher sensitivity and accuracy compared to microbial culture in tuberculous spinal infections(P<0.05).For non-tuberculous spinal infections,mNGS also showed superior sensitivity to microbial culture(P<0.05).Conclusion In patients with spinal infections,mNGS demonstrates a significantly higher pathogen detection rate than conventional microbial culture.This technique can provide early and broad-spectrum pathogenic microbiological evidence for spinal infection.

Rheumatoid arthritis(RA)is a chronic autoimmune disease with a high risk of disability.Macrophages,as important immune cells,participate in the regulation of inflammatory response and bone homeostasis in RA by polarization to different phenotypes.This article reviewed the etiology and pathogenesis of RA in TCM.It was found that imbalance in macrophage polarization is a key factor contributing to inflammation and imbalance in bone homeostasis in RA.During the development of RA,M1 and M2 macrophages have different characteristics of yin and yang attributes and play different roles,which are similar to the connotation of mutual opposition,mutual restriction and mutual transformation of yin and yang theory of TCM.Based on yin-yang theory of TCM,it is proposed to regulate the balance of yin and yang and restore the homeostasis of macrophage to delay the progression of RA,hoping to provide ideas for clinical treatment of RA.