Prostate-specific membrane antigen (PSMA) is expressed in the neovasculature of various malignancies, such as colorectal cancer (CRC) and hepatocellular carcinoma (HCC). However, PSMA expression in hepatic CRC metastasis has not been studied in detail. Methods: The PSMA expression in primary CRC and corresponding hepatic metastasis was evaluated by immunohistochemistry in a metastatic CRC cohort (n = 56), which was divided into subgroups according to treatment history and timing of metastasis. Demographic and histological characteristics of primary CRC were collected and their relationships with PSMA expression were examined. Additionally, the PSMA expression in resected HCC (n = 76) was compared with that of hepatic CRC metastasis. Results: In primary CRC, PSMA level showed a positive association with tumor size. Lower PSMA expression in hepatic metastasis was associated with higher primary CRC grade, advanced pTNM stage at the time of CRC resection, presence of tumor deposit, and unresectability of metastatic lesion. PSMA expression in primary CRC correlated with that in hepatic metastasis only in concurrent and untreated metastasis subgroup. PSMA expression in primary CRC and hepatic metastasis, regardless of treatment history and timing of metastasis, was not significantly different from that of HCC. Conclusions: Several adverse pathological features of primary CRC were associated with a lower PSMA expression in hepatic metastasis. PSMA expression in hepatic metastasis correlated with that of primary CRC only in concurrent and untreated subgroup. Primary HCC and hepatic CRC metastasis show comparable levels of PSMA expression.

The Occupational Classification Dictionary of the People's Republic of China (2015 Edition) has added a new occupation type, Medical Nursing Assistants, aiming to meet the strong demand for medical care in the context of the aging population in China.In order to standardize the services of medical nursing assistants for the elderly in home and community settings and contribute to healthy aging, the National Health Commission issued the " Service Standards for Medical Nursing Assistants of Older Adults in Home and Community" ( WS/ T 803—2022) on September 28, 2022.The standards regulate the service processes, service items and requirements, as well as service evaluation and improvement for elderly medical nursing assistants.The interpretation of the standard's formulation background, the compilation process, and the standard's content are as follows.

Objective:To retrieve, appraise and synthesize evidence regarding the prevention and management of high-output ileostomy in post-enterostomy patients, thereby providing a scientific reference for clinical practice.Methods:A computerized search was conducted, systematically exploring national and international databases, as well as the websites of pertinent associations, to gather evidence relevant to the topic. The literature types included clinical decision-making, evidence summaries, guidelines, expert consensus, and systematic reviews. The search timeframe was established from the date of database construction until 23 August 2024. The methodological quality assessment of the literature, along with the extraction and synthesis of the evidence, was performed by two independent researchers utilizing established criteria and adhering to rigorous standards.Results:A total of 13 papers were included in the review, comprising one clinical decision, four guidelines, and eight systematic reviews. Eighteen pieces of best evidence were distilled and summarized across six key areas: diagnosis and risk identification, fluid/diet/nutrition management, medication administration, skin management, monitoring and health education, and follow-up care.Conclusions:The clinical practice rationale for the prevention and management of high-output ileostomy in post-enterostomy patients, when summarized, would offer scientific and effective evidence-based support for practice changes by clinical care staff. The practical application and translation of this evidence should thoroughly consider the nuances of clinical practice in China, as well as individual patient differences, to ensure the effective implementation of the best evidence for maximizing patient benefit.

Objective To explore how digital and intelligent technologies can optimize the storage allocation and picking paths for Traditional Chinese medicine decoction pieces.Methods Based on prescription information and medicine data from the hospital information system(HIS),this study employs MATLAB programming to use an integer linear programming(ILP)algorithm for optimizing the storage allocation of Traditional Chinese medicine decoction pieces.Additionally,a greedy algorithm is applied to optimize the picking paths to reduce the picking distance for pharmacists.Finally,an independent samples paired t-test is used to analyze the experimental data to verify the significance of the optimizations.Results A total of 7 734 prescriptions were collected from the HIS.The results of storage optimization showed that the total distance before optimization was(87.58±0.29)m,which was reduced to(85.35±0.28)m after optimization(P﹤0.000 1).The picking path optimization results showed that the picking path was(85.35±0.28)m before optimization and(40.06±0.11)m after optimization(P﹤0.000 1).The results of the independent samples paired t-test indicate that the path was significantly reduced after both storage and picking path optimizations,with statistical significance.Conclusion By using digital and intelligent methods,informatics pharmacists can effectively shorten the picking paths for Traditional Chinese medicine decoction pieces,improve dispensing efficiency,and reduce patient waiting times.

American ginseng (Panax quinquefolius L.), a widely used herbal medicine and dietary supplement, has attracted increasing attention from both academia and industry in recent years. To better understand the research frontiers and hotspots, we conducted a bibliometric analysis of American ginseng studies indexed in the Web of Science Core Collection from 1985 to 2024, using CiteSpace and VOSviewer. A total of 1169 publications were identified, with a marked increase in output since 2011. Hotspot analysis revealed growing interest in pharmacological effects, ginsenoside analysis, polysaccharide studies, and quality control. Furthermore, we assessed future research trends, suggesting that quality control and the modulation of gut microbiota will remain central topics. This study provides a clearer understanding of the evolving research landscape on American ginseng and offers guidance for future investigations.

AIM: To screen the predictors of disease progression risk in patients with diabetic macular edema(DME), establish a joint prediction model and analyze its predictive efficiency.METHODS:A retrospective selection was made of 240 patients with DME who were treated in our hospital from July 2021 to October 2024 as the research subjects. The patients were divided into a low-risk group(n=102)and a high-risk group(n=138)based on the central macular thickness(CMT)and whether the fovea was accumulated. The basic information of the patients and relevant examination data such as glycolipid metabolism indicators and liver and kidney function indicators were collected. The indicators with differences in the univariate analysis(P<0.05)were included in the multivariate analysis to screen out the independent influencing factors of disease progression in DME patients and construct a predictive model. The fitting effect of the prediction model was evaluated by the area under the receiver operating characteristic curve, and the prediction model was verified by sensitivity, specificity and Youden index.RESULTS: The general data of the two groups of patients are comparable, and there was no statistically significant difference in blood pressure between the two groups of patients(both P>0.05). Univariate analysis showed that the glycated hemoglobin(HbA1c), fasting blood glucose(FBG), advanced glycation end products(AGEs), total cholesterol(TC), low-density lipoprotein cholesterol(LDL-C), triglycerides(TG), serum creatinine(Scr), uric acid(UA), and cystatin C(Cys-C)at 3 and 6 mo in the high-risk group at baseline, 3 and 6 mo were higher than those in the low-risk group(all P<0.01). The baseline, 3 and 6 mo estimated glomerular filtration rate(eGFR), total bilirubin(TBIL), and 3 and 6 mo high-density lipoprotein cholesterol(HDL-C)in the high-risk group were all lower than those in the low-risk group(P<0.05). Regression analysis showed that baseline HbA1c, 3 mo FBG, 3 mo AGEs, baseline LDL-C, 3 mo TG, 3 mo eGFR, baseline TBIL, and 6 mo TBIL were risk factors for disease progression in DME patients. The area under curve(AUC)of the combined prediction model was 0.909(95%CI: 0.872-0.945), with a sensitivity of 79.00% and a specificity of 94.10%.CONCLUSION: HbA1c, FBG, AGEs, LDL-C, TG, eGFR and TBIL are risk factors for the risk of disease progression in patients with DME. The combined prediction model can provide a reference for predicting the risk of disease progression in patients with DME.

The Occupational Classification Dictionary of the People's Republic of China (2015 Edition) has added a new occupation type, Medical Nursing Assistants, aiming to meet the strong demand for medical care in the context of the aging population in China.In order to standardize the services of medical nursing assistants for the elderly in home and community settings and contribute to healthy aging, the National Health Commission issued the " Service Standards for Medical Nursing Assistants of Older Adults in Home and Community" ( WS/ T 803—2022) on September 28, 2022.The standards regulate the service processes, service items and requirements, as well as service evaluation and improvement for elderly medical nursing assistants.The interpretation of the standard's formulation background, the compilation process, and the standard's content are as follows.

Objective:To analyze the changes in the incidence trend of liver cancer in Taizhou of Jiangsu Province, from 2012 to 2020 and provide reference for tumor prevention and control and management.Methods:Liver cancer incidence data from 2012 to 2020 were extracted from the Taizhou Center for Disease Control and Prevention's tumor registry system. Demographic data were used to calculate the crude incidence rate, age-standardized incidence rate (ASIR), Chinese age-standardized incidence rate (CASIR; based on China's 2010 standard population), and world age-standardized incidence rate (WASIR; based on Segi's world standard population). The Joinpoint regression model was applied to identify inflection points in liver cancer incidence trends during 2012-2020, and annual percentage change (APC) with average annual percentage change (AAPC) were calculated.Results:In 2020, the crude incidence ratio (CIR) of liver cancer in Taizhou was 34.6 per 100 000, with CASIR and WASIR at 19.6 per 100 000 and 14.9 per 100 000, respectively. From 2012 to 2020, the male-to-female ratio of new liver cancer cases was 2.94∶1 (10 455 males vs. 3 559 females), with male incidence consistently higher than female. Overall liver cancer incidence in Taizhou initially increased and then decreased after 2017 (2012-2017: APC=6.4%, P=0.014; 2017-2020: APC=-9.5%, P=0.035), peaking at a CASIR of 26.2 per 100 000 in 2017. The trend in male incidence mirrored the overall pattern, rising before 2017 and declining thereafter (2012-2017: APC=6.2%, P=0.005; 2017-2020: APC=-9.0%, P=0.016). Female incidence remained relatively stable (2012-2016: APC=11.0%, P=0.054; 2016-2020: APC=-6.5%, P=0.130). Conclusions:Liver cancer incidence in Taizhou increased before 2017 and declined thereafter, with 2017 as the turning point. Amid population aging, liver cancer remains a persistent public health challenge requiring sustained attention.

Objective To investigate the impact of the precision health management model on liver fibrosis,adipocytokines,and metabolic indicators in patients with non-alcoholic fatty liver dis-ease(NAFLD).Methods A total of 600 NAFLD patients were selected as study subjects and divid-ed into conventional group and precision group according to different intervention methods,with 300 patients in each group.The conventional group received routine health management,while the preci-sion group received intervention through the precision health management model.Comparisons were made between the two groups in terms of obesity indicators[waist-to-hip ratio(WHR),body mass in-dex(BMI),body fat rate(BFR),degree of obesity],fatty liver grading,liver stiffness measure-ment(LSM),and liver fibrosis indicators[laminin(LN),type Ⅳ collagen(C Ⅳ),hyaluronic acid(HA),type Ⅲ procollagen(PC Ⅲ)],hepatic adipocytokines[nuclear factor-κB(NF-κB),adi-ponectin(APN),irisin,tumor necrosis factor-α(TNF-α)],and lipid metabolism indicators[tri-glycerides(TG),high-density lipoprotein cholesterol(HDL-C),low-density lipoprotein cholesterol(LDL-C),total cholesterol(TC)]levels.Results After the intervention,the levels of WHR,BFR,BMI,degree of obesity,LSM,as well as LN,C Ⅳ,HA,PC Ⅲ,NF-κB,TNF-α,TG,LDL-C,and TC in both groups were lower than those before the intervention,and the precision group showed lower levels than the conventional group,with statistically significant differences(P＜0.05).After the intervention,the fatty liver grading in both groups was better than before intervention,and the precision group showed better fatty liver grading than the conventional group,with statistically signif-icant differences(P＜0.05).After the intervention,the levels of APN,irisin,and HDL-C in both groups were higher than those before the intervention,and the precision group showed higher levels than the conventional group,with statistically significant differences(P＜0.05).Conclusion The precision health management model can effectively improve the degree of obesity,fatty liver grading,and liver fibrosis status in NAFLD patients,reduce LSM,and regulate the levels of adipocytokines and lipid metabolism indicators,yielding significant effects.

Objective:To compare knowledge graphs (KGs) constructed from standardized clinical pathways and actual examination records within 24 hours of emergency care for acute gastrointestinal hemorrhage (AGH), acute myocardial infarction (AMI), and intracerebral hemorrhage (ICH), and to visually analyze discrepancies between guideline recommendations and real-world practice, thereby exploring a novel methodology for clinical pathway optimization.Methods:KGs were developed using clinical pathway standards and actual examination data collected within the first 24 hours of emergency treatment for AGH, AMI, and ICH. Entity attributes were weighted to visually represent the frequency and extent of examination usage through variable node sizes in the KG. The constructed KGs were used to compare and analyze the differences in type and frequency of examinations performed relative to pathway standards.Results:The proportion of examination items with >50% adherence to clinical pathway standards within 24 hours was 76.92% for AGH, 44.44% for AMI, and 78.57% for ICH. Items from the clinical pathways that were not performed in over 50% of patients accounted for 15.38%, 27.78%, and 21.43% of cases, respectively. Non-pathway examinations increased by 9, 7, and 4 items for each condition, of which 17 items (85%) were performed at least once in more than half of the patients. Visualization via KGs revealed a reduction in redundant examinations by 38.64% between AGH and AMI, 35.00% between AGH and ICH, and 37.50% between AMI and ICH. Overall, a 54.84% reduction in redundant examinations was achieved across all three critical conditions.Conclusions:The visual KG approach effectively integrates both guideline-recommended and experience-driven examinations, serving as a correlational analysis tool to assess deviations between actual clinical practice and standardized pathways. It provides a quantitative foundation for optimizing clinical pathways, with potential for greater efficiency gains as more critical conditions are incorporated into the graph.