Objective To preliminarily investigate the safety and efficacy of donor pancreas needle biopsy in simultaneous pancreas-kidney transplantation. Methods Clinical data of 7 cases undergoing donor pancreas biopsy were collected retrospectively. All cases underwent donor pancreas biopsy before or during simultaneous pancreas-kidney transplantation. Frozen section or paraffin sectioning techniques were used for tissue preparation, and hematoxylin-eosin and Masson staining were performed to histologically evaluate the donor pancreas. The quality of donor pancreas was comprehensively assessed by combining histological findings with the donor's clinical data. Postoperative follow-up data of 5 simultaneous pancreas-kidney transplant recipients were collected to summarize the safety of donor pancreas biopsy and the prognosis of transplant recipients. Results The 7 pancreas donors were aged 28 to 62 years, with a body mass index ranging from 20.76 to 27.68 kg/m². Liver ultrasound indicated fatty liver in 3 cases, while pancreatic ultrasound did not reveal any significant abnormalities. Among them, biopsy was performed on 2 donors after completion of pancreatic procurement and processing, and the frozen section histology showed moderate acute pancreatitis changes (edema of acinar cells, necrosis and inflammatory cell infiltration). Combined with a serum amylase level elevated more than 3 times the upper limit of normal value, these two donor pancreases were finally discarded. The remaining 5 cases underwent biopsy immediately after pancreatic vascular anastomosis during simultaneous pancreas-kidney transplantation, and histological evaluation was performed on paraffin-embedded sections. No biopsy-related complications (such as bleeding, pancreatic fistula, etc.) occurred after transplantation. One recipient died of severe infection 2 months after transplantation, while the other 4 recipients were followed up for more than 5 years, with well-functioning transplant kidneys and pancreases. Conclusions Donor pancreas biopsy is relatively safe, and the risk of biopsy-related complications after transplantation is controllable. Comprehensive assessment of donor pancreas quality by combining histological evaluation with the donor's clinical indicators is conducive to improving the accuracy of donor pancreas selection and organ utilization.

OBJECTIVE To explore and establish a full-cycle management model for drug traceability codes that aligns with national policy requirements and the practical needs of healthcare institutions， thereby enhancing the refinement of drug management and the level of medication safety. METHODS A tripartite strategy integrating “hardware deployment， system transformation， and process re-engineering” was adopted. This involved the introduction of intelligent identification devices （personal digital assistant， high-definition industrial reader）， the modification of the hospital information system interface， and the re-engineering of workflows （drug warehousing， dispensing and distribution， drug withdrawal， uploading to the insurance platform） to achieve comprehensive， informatized collection and association of drug traceability codes throughout all stages. RESULTS A full-cycle management model for drug traceability codes was successfully established， realizing the goals of making drugs “traceable to their source， trackable in their distribution， and accountable in their responsibility”. The patient waiting time for medication dispensing before and after the implementation was [3.08（1.67，5.58）] min and [3.28（1.77，5.98）] min， respectively. Among them， the patient waiting time under the pre-preparation mode was [3.60（2.13，6.35）] min and [3.50（2.03，6.30）] min， respectively； the patient waiting time under the real-time mode was [2.05（0.83，4.03）] min and [2.78（1.18，5.38）] min， respectively； the number of dispensing errors was 3， 0， respectively； the staffing of relevant positions had not been increased. CONCLUSIONS The drug traceability code management model constructed from a full-cycle perspective effectively meets national policy requirements. It provides data support for refined hospital management and offers solid technical and procedural safeguards for ensuring patient medication safety and strengthening medical insurance fund supervision， demonstrating practical value.

Objective:To analyze relevant factors influencing severe acute radiation enteritis (SARE) during total neoadjuvant therapy (TNT) for locally advanced rectal cancer (LARC). To identify specific prediction indicators of the occurrence and progression of radiation enteritis by investigating the effect relationships between radiation enteritis and multidimensional factors.Methods:A total of 92 patients with rectal adenocarcinoma who received total neoadjuvant therapy at the First Affiliated Hospital of Soochow University from January 2020 to September 2023 were enrolled in this study. Their relevant information was collected, encompassing clinical nutritional indicators, dynamic changes in hematological parameters, systemic inflammatory indicators, and the occurrence of adverse reactions. Then, risk factors associated with radiation enteritis were determined using logistic regression analysis. Based on independent risk factors, a nomogram model for risk prediction was constructed.Results:Univariate analysis revealed significant correlations of the SARE occurrence with certain nutritional indicators, local tumor measurement data, and laboratory parameters. Multivariate regression analysis further identified the independent risk factors for SARE occurrence, including albumin reduction >26.5% before vs. after treatment ( OR = 5.010, 95% CI: 1.766-14.154, P = 0.010), rectual tenesmus rating of Grade 1-3 ( OR = 3.639, 95% CI: 1.425-9.300, P = 0.024), and elevated disease activity index (DAI) score ( OR ≈ 7.683 per 1-point increase, 95% CI: 1.105-53.410, P = 0.039). The prediction model constructed based on these factors demonstrated high prediction efficiency (AUC = 0.841; 95% CI: 0.749-0.934). Conclusions:The nomogram model constructed using albumin reduction, rectal tenesmus rating, and DAI score can provide accurate, simple, and low-cost risk prediction of radiation enteritis during TNT for LARC patients. This model facilitates the early clinical identification of high-risk patients, providing a basis for implementing personalized adjustments to radiotherapy regimens and enhancing nutritional interventions.

Objective To formulate an expert consensus on the puncture of difficult arteriovenous fistula under real-time guidance of ultrasound(hereinafter referred to as the consensus).To standardize the clinical practice of ultrasound-guided puncture of difficult autologous arteriovenous fistula.Methods We conducted a comprehensive literature review of domestic and international publications,integrated clinical nursing experts' practical experience,and followed evidence-based nursing principles to identify the best available evidence.Through expert panel discussions and 3 rounds of Delphi expert consultation,we systematically revised,refined and improved the initial draft of the consensus,ultimately developing the finalized version.Results The response rates of the 3 rounds of Delphi expert correspondence inquiries were all 100％;the authority coefficient of expert correspondence inquiries was 0.97;the mean importance assignment of the 3 rounds of correspondence inquiries was more than 3.50.The Kendall coordination coefficients of the 3 rounds of expert consultation were 0.127,0.120,and 0.201,respectively(P＜0.05),and the degree of coordination of expert opinions was good and the expert opinions were consistent.The consensus summarized 5 aspects,including relevant terms and definitions,indications for real-time ultrasound-guided arteriovenous fistula puncture,personnel qualifications and training,difficult arteriovenous fistula puncture procedures under real-time ultrasound-guided,and nursing quality control.Conclusion The consensus is scientific,which can provide a basis for hemodialysis practitioners to practice the puncture of difficult arteriovenous fistula under real-time guidance of ultrasound.

T-cell acute lymphoblastic leukemia (T-ALL) is a highly aggressive hematologic malignancy with a poor prognosis, despite advancements in treatment. Many patients struggle with relapse or refractory disease. Investigating the role of the super-enhancer (SE) regulated gene ubiquitin-specific protease 20 (USP20) in T-ALL could enhance targeted therapies and improve clinical outcomes. Analysis of histone H3 lysine 27 acetylation (H3K27ac) chromatin immunoprecipitation sequencing (ChIP-seq) data from six T-ALL cell lines and seven pediatric samples identified USP20 as an SE-regulated driver gene. Utilizing the Cancer Cell Line Encyclopedia (CCLE) and BloodSpot databases, it was found that USP20 is specifically highly expressed in T-ALL. Knocking down USP20 with short hairpin RNA (shRNA) increased apoptosis and inhibited proliferation in T-ALL cells. In vivo studies showed that USP20 knockdown reduced tumor growth and improved survival. The USP20 inhibitor GSK2643943A demonstrated similar anti-tumor effects. Mass spectrometry, RNA-Seq, and immunoprecipitation revealed that USP20 interacted with hypoxia-inducible factor 1 subunit alpha (HIF1A) and stabilized it by deubiquitination. Cleavage under targets and tagmentation (CUT&Tag) results indicated that USP20 co-localized with HIF1A, jointly modulating target genes in T-ALL. This study identifies USP20 as a therapeutic target in T-ALL and suggests GSK2643943A as a potential treatment strategy.

Morphea alopecia is a rare secondary cicatricial alopecia, often caused by linear scleroderma of the scalp. When hair loss appears as the only symptom of morphea, it is easily confused with other localized alopecia. The diagnosis of morphea alopecia depends on histopathologic and dermoscopic examinations. In order to improve the understanding of morphea alopecia among clinicians, this review summarizes research progress in its pathogenesis, clinical and pathological characteristics, diagnosis and treatment.

Objective:To investigate the effect and underlying mechanism of isoliquiritigenin (ISL) on chondrocyte ferroptosis in a rat model of knee osteoarthritis (KOA).Methods:Sixty male SD rats were randomly divided into a sham group, KOA group, celecoxib group, ISL low-dose group, and ISL high-dose group. Except for the sham group, KOA models were induced in the other groups using the modified Hulth method. The ISL low-dose and high-dose groups received intraperitoneal injections of 10 mg/kg and 40 mg/kg ISL, respectively; the celecoxib group was orally administered 24 mg/kg celecoxib; the sham and KOA groups received equivalent doses of saline via intraperitoneal injection. Interventions were administered once daily for 8 weeks. Behavioral changes in the open field test, histopathological observations of cartilage, inflammatory cytokine detection, ferroptosis-related indicators, and Sirt1/Nrf2/GPX4 pathway protein expression were measured to determine the optimal ISL dose. Another 60 male SD rats were randomly divided into sham, KOA, ISL high-dose, Sirt1 inhibitor (EX-527), and ISL high-dose + EX-527 groups. KOA models were established in all groups except the sham group. The ISL high-dose group received 40 mg/kg ISL, the EX-527 group received 10 mg/kg EX-527, and the combination group received both. The sham and KOA groups were given saline. Interventions lasted 8 weeks. Histopathological staining evaluated cartilage damage and scoring; ELISA measured tumor necrosis factor-α (TNF-α), interleukin (IL)-1β, and IL-6 levels in synovial fluid; iron deposition, Fe 2+, malonaldehyde (MDA), reactive oxygen species (ROS), superoxide dismutase (SOD), and glutathione (GSH) levels were assessed; Western blot analyzed Sirt1/Nrf2/GPX4 pathway proteins; immunohistochemistry detected Collagen II, Aggrecan, MMP-3, and MMP-13 expression. Results:The joint cartilage tissue damage in the ISL low-dose and high-dose rat groups was alleviated compared to the KOA group. The OARSI score, levels of TNF-α, IL-1β and IL-6 in joint fluid, iron deposition in cartilage tissue, Fe 2+, MDA and ROS levels were 8.33±1.86 and 4.50±1.52, respectively. 67.24±7.25 pg/ml, 42.06±5.12 pg/ml; 37.97±4.9 pg/ml, 23.75±4.12 pg/ml; 31.67±4.16 pg/ml, 20.91±3.28 pg/ml; 2.00±0.20, 1.53±0.14; 2.84±0.19 μmol/mg, 1.87±0.16 μmol/mg; 9.11±1.08 nmol/ml, 5.49±1.05 nmol/ml; 759.15±59.80 μmol/ml and 610.85±44.23 μmol/ml were lower than those in KOA group ( P<0.05), and the serum SOD and GSH contents were 12.12±1.52 U/ml and 16.79±2.14 U/ml, respectively. Compared with KOA group, the protein expressions of Sirt1, Nrf2, GPX4 and SLC7A11 were 0.70±0.11 and 0.96±0.13, 0.69±0.10 and 0.95±0.14, 0.51±0.06 and 0.87±0.12, 0.56±0.06 and 0.83±0.10, which were higher than those in KOA group ( P<0.05). The expressions of Acetyl-H4K16, ACSL4, MMP-3 and MMP-13 were 1.68±0.17 and 1.30±0.10, 1.39±0.12 and 0.97±0.10, 1.70±0.14 and 1.10±0.10, 1.64±0.15 and 1.28±0.10, which were lower than those of KOA group ( P<0.05). And the changes of these indexes were higher in Sirt1 inhibitor group. Compared with the ISL high-dose group, the ferroptosis-related indexes were significantly increased in the ISL high-dose+Sirt1 inhibitor group. Conclusion:ISL alleviates articular cartilage injury in KOA rats, and its mechanism is related to activating the Sirt1/Nrf2/GPX4 pathway and inhibiting ferroptosis.

Objective:To investigate the relationship between the early pregnancy triglyceride-glucose (TyG) index and gestational diabetes mellitus (GDM) in twin pregnancies.Methods:This retrospective study involved twin-pregnant women who visited Beijing Obstetrics and Gynecology Hospital, Capital Medical University from October 2015 to February 2021. Based on the results of the 75 g oral glucose tolerance test (OGTT) performed at 24-28 weeks of gestation, the women were divided into the GDM and the control groups. The groups were further stratified based on maternal age (<35 years or ≥35 years), pre-pregnancy body mass index (BMI) (<24.0 or ≥24.0 kg/m2), and conception method [assisted reproductive technology (ART) or natural conception]. The correlation between early pregnancy TyG index and GDM, as well as the predictive value of the early pregnancy TyG index for the risk of GDM in twin pregnancies, were analyzed. The TyG index in early pregnancy was then divided into tertiles, and the risks of GDM in low, medium, and high TyG index groups were analyzed. Statistical analyses were performed using independent sample t-test, non-parametric test, Chi-square test, and binary logistic regression analysis. Receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive value of the early pregnancy TyG index for GDM in twin pregnancies. Results:(1) A total of 1 684 twin-pregnant women were included, with an average age of 32.3 years (29.8-34.9 years) and a pre-pregnancy BMI of 22.0 kg/m2 (20.0-24.3 kg/m2). Among them, 319 (18.9%) were multiparas, 982 (58.3%) conceived through ART, and 357 (21.2%) were monochorionic twins. Of the 1 684 women, 367 (21.8%) were diagnosed with GDM (GDM group), whereas the remaining 1 317 were classified as the control group. (2) Compared to the control group, the GDM group had older maternal age [(32.2±3.7) years vs. (33.3±3.8) years, t=－4.92], higher pre-pregnancy weight, and BMI [57.5 kg (52.0-65.0 kg) vs. 60.0 kg (55.0-67.3 kg), U=279 901.50; 21.8 kg/m2 (19.8-24.0 kg/m2) vs. 22.9 kg/m2 (20.9-25.5 kg/m2), U=288 435.00]. The proportions of a family history of diabetes, history of GDM and polycystic ovary syndrome (PCOS) were all higher in the GDM group compared to the control group [9.6% (127/1 317) vs. 19.1% (70/367), χ 2=24.71; 0.8% (2/1 317) vs. 10.8% (8/367), χ 2=20.00; 9.1% (120/1 317) vs. 15.3% (56/367), χ 2=11.59] (all P<0.001). The GDM group had higher early pregnancy fasting blood glucose, triglyceride, and TyG indices compared to the control group [4.51 mmol/L (4.28-4.75 mmol/L) vs. 4.68 mmol/L (4.42-4.97 mmol/L), U=7.14; 1.23 mmol/L (0.93-1.57 mmol/L) vs. 1.43 mmol/L (1.09-1.89 mmol/L), U=4.81; 8.39±0.41 vs. 8.59±0.43, t=6.46]. The incidence of gestational anemia and weight gain were lower in the GDM group compared to the control group [39.2% (516/1 317) vs. 33.0% (121/367), χ 2=4.71; 17.0 kg (13.7-20.5 kg) vs. 15.0 kg (12.0-18.3 kg), U=187 966.00] (all P<0.05). The proportion of male newborns in the GDM group was higher than in the control group [52.5% (1 384/2 634) vs. 46.7% (343/734), χ 2=7.77, P=0.005]. (3) Early pregnancy TyG index was associated with GDM in twin pregnancies ( OR=3.164, 95% CI: 2.371-4.220, P<0.001). After adjusting for maternal age, pre-pregnancy BMI, history of GDM, history of macrosomia, and family history of diabetes, the early pregnancy TyG index remained associated with GDM ( OR=2.560, 95% CI: 1.884-3.478, P<0.001). Analysis of the early pregnancy TyG index divided into tertiles (corresponding TyG indices of 8.25 and 8.59) revealed that, compared to those with a low TyG index, those with a mid TyG index had a 0.555-fold increased risk of GDM ( OR=1.555, 95% CI: 1.119-2.159, P=0.008), and those with a high TyG index had a 1.564-fold increased risk of GDM ( OR=2.564, 95% CI: 1.836-3.530, P<0.001). Stratified analysis by age, BMI, and mode of conception showed that the early pregnancy TyG index was associated with GDM in twin pregnancies (all P<0.001). (4) The threshold value for the early pregnancy TyG index to predict GDM in twin pregnancies was 8.33, with an area under the curve (AUC) of 0.632, 95% CI: 0.600-0.665, sensitivity of 0.744, and specificity of 0.436. The AUC in twin pregnancies for those who conceived via ART was 0.635 (95% CI: 0.593-0.676, P<0.001), slightly higher than in those who conceived naturally (AUC=0.628, 95% CI: 0.576-0.681, P<0.001). After adjusting for maternal age, pre-pregnancy BMI, history of GDM, and family history of diabetes, the AUC for the early pregnancy TyG index to predict GDM in twin pregnancies was 0.675 (95% CI: 0.644-0.707). For those who conceived via ART, the AUC (95% CI) was 0.675 (0.634-0.717), slightly lower than for those who conceived naturally [0.682 (0.632-0.733)] (all P<0.001). Conclusion:A high TyG index in the first trimester is a risk factor for GDM in twin pregnancies, but its predictive value for GDM in twin pregnancies needs further research to be confirmed.

Objective:To analyze relevant factors influencing severe acute radiation enteritis (SARE) during total neoadjuvant therapy (TNT) for locally advanced rectal cancer (LARC). To identify specific prediction indicators of the occurrence and progression of radiation enteritis by investigating the effect relationships between radiation enteritis and multidimensional factors.Methods:A total of 92 patients with rectal adenocarcinoma who received total neoadjuvant therapy at the First Affiliated Hospital of Soochow University from January 2020 to September 2023 were enrolled in this study. Their relevant information was collected, encompassing clinical nutritional indicators, dynamic changes in hematological parameters, systemic inflammatory indicators, and the occurrence of adverse reactions. Then, risk factors associated with radiation enteritis were determined using logistic regression analysis. Based on independent risk factors, a nomogram model for risk prediction was constructed.Results:Univariate analysis revealed significant correlations of the SARE occurrence with certain nutritional indicators, local tumor measurement data, and laboratory parameters. Multivariate regression analysis further identified the independent risk factors for SARE occurrence, including albumin reduction >26.5% before vs. after treatment ( OR = 5.010, 95% CI: 1.766-14.154, P = 0.010), rectual tenesmus rating of Grade 1-3 ( OR = 3.639, 95% CI: 1.425-9.300, P = 0.024), and elevated disease activity index (DAI) score ( OR ≈ 7.683 per 1-point increase, 95% CI: 1.105-53.410, P = 0.039). The prediction model constructed based on these factors demonstrated high prediction efficiency (AUC = 0.841; 95% CI: 0.749-0.934). Conclusions:The nomogram model constructed using albumin reduction, rectal tenesmus rating, and DAI score can provide accurate, simple, and low-cost risk prediction of radiation enteritis during TNT for LARC patients. This model facilitates the early clinical identification of high-risk patients, providing a basis for implementing personalized adjustments to radiotherapy regimens and enhancing nutritional interventions.

Objective:Predictive modelling of risk of cancer-related cognitive impairment (CRCI) in lung cancer patients from the perspective of precision health in nursing science.Methods:Prospectively collected lung cancers treated in the Department of Respiratory Medicine of Affiliated Nanjing Brain Hospital, Nanjing Medical University from October 2023 to April 2024 as study subjects by a convenience samphing method. Lasso regression was used to screen the characteristic variables and construct the prediction model, and the predictive ability was evaluated by the AUC of the subjects′operating characteristics; Bootstrap resampling (1 000 times) internal validation of the model; the Hosmer-Lemeshow goodness-of-fit test was performed and the calibration curve was plotted to evaluate the calibration of the model; the clinical validity of the model was evaluated by decision cure analysis (DCA).Results:A total of 142 patients with lung cancer were included, 94 males and 38 females. The incidence of CRCI in lung cancer patients was 69.7%(99/142). Lasso regression showed that age(≥65), education, tumor stage, serum albumin, and PLR were independent risk factors for CRCI (coefficients of 0.372 048 72, - 0.361 265 78, 0.068 728 00, - 0.039 940 32, 0.001 639 92 respectively). The model AUC was 0.874 (95% CI: 0.815-0.933), with a sensitivity of 0.768, and a specificity of 0.860; the H-L goodness-of-fit test showed good agreement ( χ2 = 4.51, P>0.05), and Bootstrap re-sampling internal validation showed an AUC of 0.826. Calibration curves showed good agreement and accuracy between the model predicted probabilities and the actual observed probabilities. DCA showed that the model had clinical benefit when the threshold probability was approximately>25%. Conclusions:The CRCI column-line diagram risk model constructed in this study has good predictive efficacy and can effectively predict the occurrence of CRCI in lung cancer patients.