Objective: To investigate the impact of RhE antigen-matched transfusion during liver transplantation on early postoperative recovery and complications. Methods: In this retrospective cohort study, ninety-five patients undergoing liver transplantation at Kunming First People's Hospital between January 2022 and July 2025 were enrolled. Patients were divided into two groups: Group 1 (RhE-mismatched transfusion, n=57) and Group 2 (RhE-matched transfusion, n=38). The baseline data, complete blood counts, hepatic and renal function, coagulation parameters, and complication rates between the two groups were compared at postoperative days 1, 3, 5, 7, and 10. Survival analysis was performed using the Kaplan-Meier method. Results: The baseline characteristics were well-balanced and comparable between the two groups (all P>0.05). The early postoperative mortality rate in the mismatched group (31.58%, 18/57) was significantly higher than that in the matched group (10.53%, 4/38) (P=0.017). The incidence of postoperative hepatic encephalopathy was significantly higher in the mismatched group (50.88%, 29/57) than in the matched group (10.53%, 4/38) (P<0.001). The incidence of postoperative haemorrhage in the mismatched group (24.56%, 14/57) was higher than that in the matched group (5.26%, 2/38), with a statistically significant difference (P=0.014). The incidence of perioperative infection in the mismatched group (28.07%, 16/57) was higher than that in the matched group (10.53%, 4/38), with a statistically significant difference (P=0.04). Corresponding odds ratios (OR) and 95% confidence intervals indicated a lower risk of these adverse events in the matched group. On postoperative day 1, the change in activated partial thromboplastin time (-1.6, 20.5) in the mismatched group was greater than in the matched group (-0.2, 5.5). The change in international normalised ratio (-0.56, 1.22) in the mismatched group was greater than in the matched group (-0.18, 0.32), while the change in albumin (-4.0, 4.8) was smaller in the mismatched group than in the matched group (-2.5, 8.8). On postoperative day 5, the change in albumin (-0.41±7.83) in the mismatched group was smaller than in the matched group (2.68±4.53). At postoperative day 7, the change in albumin in the mismatched group (-0.61±7.38) was smaller than that in the matched group (2.51±5.85), while the change in D-dimer in the mismatched group (0.73, 7.4) was greater than that in the matched group (-1.6, 4.3). On postoperative day 10, the mismatched group exhibited significantly higher fibrinogen levels (-1.21, 1.78) than the matched group (-0.49, 0.97), and significantly longer prothrombin times (-11.3, -2.7) than the matched group (-6.2, -0.8) (all P<0.05). The matched group exhibited a mean overall survival (OS) of 32.803 months (95% CI:29.171-36.436 months), significantly exceeding the mismatched group's 28.996 months (95% CI:24.202-33.790 months). The log-rank test yielded statistically significant results (χ =4.307, P=0.038). Conclusion: Implementing RhE blood group-matched transfusion during liver transplantation may help reduce early postoperative mortality and the incidence of major complication rates, promote faster recovery of coagulation and liver function, and thereby improve short-term patient outcomes.

Objective: To investigate the trajectories of fasting blood glucose fluctuations and their influencing factors among patients with comorbidity of type 2 diabetes mellitus (T2DM), so as to provide the basis for strengthening blood glucose management in this population. Methods: In October 2023, data of patients diagnosed with comorbid T2DM from January to October 2021, including demographic information, lifestyle, health status and fasting blood glucose were collected through the chronic disease health management system of Minhang District, Shanghai Municipality. Fasting blood glucose fluctuation trajectories were analyzed by group-based trajectory model established based on fasting blood glucose values from January 2021 to October 2023. Influencing factors of fasting blood glucose fluctuation trajectories among patients with comorbidity of T2DM were analyzed using a multinomial logistic regression model. Results: A total of 907 patients with comorbidity of T2DM were enrolled, including 472 males (52.04%) and 435 females (47.96%). There were 652 cases aged ≥65 years, accounting for 71.89%. The group-based trajectory model analysis identified three trajectory groups: a low-level stable group (492 cases, 54.24%), a medium-level stable group (287 cases, 31.64%), and a high-level decreasing group (128 cases, 14.11%). Multinomial logistic regression analysis showed that, compared with the low-level stable group, patients with comorbidity of T2DM who had an education level of junior high school or below (OR=1.420, 95%CI: 1.011-1.995) or college degree or above (OR=2.109, 95%CI: 1.249-3.560), as well as those who engaged in regular exercise (OR=1.387, 95%CI: 1.017-1.893), were more likely to be in the medium-level stable group. Patients with comorbidity of T2DM who were overweight or obese (OR=1.675, 95%CI: 1.116-2.513) or had dyslipidemia (OR=3.195, 95%CI: 1.642-6.216) were more likely to be in the high-level decreasing group. Conclusions From January 2021 to October 2023, the fasting blood glucose levels of patients with comorbidity of T2DM exhibited three fluctuating trajectories: low-level stability, medium-level stability, and high-level decline. Compared with the low-level stable group, the medium-level stable group was mainly influenced by educational level and regular exercise. The high-level decline group was primarily affected by overweight/obesity and dyslipidemia.

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

Paraplegia caused by spinal cord injury is a serious neurological complication, for which surgery is currently the main treatment method. Due to different surgical approaches, patients are usually expected to maintain a passive prone position for a long time or switch between the supine and prone positions. Affected by multiple factors such as neurogenic sensory disorders, pathological changes in muscle tone and operative duration, the risk of intraoperative acquired pressure injury (IAPI) is significantly increased. Current clinical prevention strategies for IAPI in these patients predominantly focus on localized pressure relief during positioning, lacking systematic, standardized comprehensive prevention protocols or evidence-based guidelines. To address it, Department of Nursing, Orthopedics Branch, China International Exchange and Promotive Association for Medical and Health Care, Spinal Trauma Professional Committee, Orthopedics Branch, Chinese Medical Doctor Association, Nursing Group of Spine and Spinal Cord Professional Committee of Chinese Association of Rehabilitation Medicine organized experts in relevant fields to formulate Guideline for the prevention of intraoperative acquired pressure injury in paraplegic patients with spinal cord injury ( version 2025), based on evidence-based medical evidence and latest research results and clinical practice at home and abroad. Eleven recommendations were put forward from the aspects of preoperative risk assessment, intraoperative prevention strategies, postoperative handover and monitoring, and supportive mechanisms for IAPI prevention, aiming to standardize the prevention measures and management strategies of IAPI in paraplegic patients with spinal cord injury and accelerate the recovery of patients and improve the therapeutic effect.

Objective:To evaluate the efficacy and safety of telitacicept in the treatment of systemic lupus erythematosus (SLE) .Methods:The clinical data of 25 SLE patients who received standard therapy combined with telitacicept at the Department of Dermatology, Xiangya Second Hospital, Central South University, from 2021 to 2024 were retrospectively collected. Baseline demographic and clinical characteristics were analyzed. Changes in skin lesions, joint pain symptoms, complete blood count, and biochemical parameters at 4, 12, and 24 weeks of treatment were compared with baseline (week 0). The Wilcoxon signed-rank test was used to compare complement C3 and C4 levels before and after treatment, and univariate logistic regression analysis was performed to explore factors influencing the efficacy of telitacicept.Results:Among the 25 SLE patients, 3 were male (12.0%) and 22 were female (88.0%). Based on the SLE Disease Activity Index (SLEDAI) -2000 scores, 8 patients were mild, 13 were moderate, and 4 were severe. Of the 11 SLE patients with rashes before treatment, 6 achieved complete remission at 12 weeks. Among the 7 patients with joint pain before treatment, 4 experienced symptom resolution at 24 weeks. The proportion of patients with leukopenia at baseline and at 4, 12, and 24 weeks was 10/25 (40.0%), 0/24 (0), 1/22 (4.5%), and 2/19 (10.5%), respectively. The proportion of patients with thrombocytopenia was 6/25 (24.0%), 3/24 (12.5%), 1/22 (4.5%), and 1/19 (5.3%), respectively, and the proportion of patients with anemia was 7/25 (28.0%), 3/24 (12.5%), 1/22 (4.5%), and 1/19 (5.3%), respectively. At baseline, 11 out of 25 patients (44.0%) had proteinuria. At 12 weeks, the urinary protein quantification level (0.4 [0, 0.6] g/L) was significantly lower than at baseline (0.9 [0.8, 1.2] g/L). The SLE responder index-4 (SRI4) response rates at 4, 12, and 24 weeks were 14/18, 15/17, and 12/14, respectively. Complement C3 and C4 levels were significantly higher at 4, 12, and 24 weeks compared to baseline (all P < 0.001). Univariate logistic regression analysis showed that age, disease duration, glucocorticoid dosage, baseline complement C4 levels, antinuclear antibody titer, and SLEDAI-2K score did not significantly affect the efficacy of telitacicept (SRI4 response rate at 12 weeks) (all P > 0.05). No serious adverse reactions related to telitacicept were observed in patients. Conclusions:Telitacicept improved skin lesions, complement C3 and C4 levels, and anti-double-stranded DNA antibody levels in SLE patients. No association was found between the efficacy of telitacicept and baseline SLEDAI-2K scores, antinuclear antibody titers, or complement C4 levels, suggesting that telitacicept is an effective and safe treatment for SLE patients.

Objective:To investigate the mechanism by which microRNA-183 (miR-183) regulates the progression of diabetic nephropathy (DN) through targeting phosphatase and tensin homolog deleted on chromosome 10 (PTEN) and modulating the AKT signaling pathway, and to identify potential therapeutic targets for DN.Methods:(1) Bioinformatic analysis of miRNA expression: MiRNA expression datasets from diabetic nephropathy (DN) and control samples were obtained from the Gene Expression Omnibus database. Differential expression analysis was performed, and differentially expressed miRNAs (DEmiRNAs) were identified using thresholds of an absolute log 2 (fold changes) >1 and an adjusted P-value<0.05. The results were visualized in a volcano plot and a heatmap. (2) Animal model establishment and in vivo interventional studies: A DN rat model was induced by administration of a high-fat/high-sucrose diet combined with an intraperitoneal injection of streptozotocin. Rats were randomly assigned into four groups ( n=10 per group) using a random number table: control group, DN model group, miR-183 inhibitor negative control (NC) group, and miR-183 inhibitor group. The latter two groups received tail vein injections of the miR-183 inhibitor NC or the miR-183 inhibitor, respectively, for eight consecutive weeks. Parameters including fasting blood glucose, 24-hour urinary protein excretion, urinary albumin excretion rate (UAER), serum creatinine, and blood urea nitrogen (BUN) were measured. Renal histopathological changes were assessed by HE and PAS staining. Furthermore, the expression of candidate miRNAs from patient data was validated, and the mechanism of action of miR-183 was investigated using quantitative real-time PCR and Western blotting. (3) In vitro mechanistic investigations in cultured podocytes: Mouse podocyte clone-5 (MPC5) cells were cultured in vitro and subjected to the following conditions: normal glucose (5.3 mmol/L glucose), high glucose (30 mmol/L glucose), and osmotic control (5.3 mmol/L glucose+19.5 mmol/L mannitol). Cells in the logarithmic growth phase were transfected with the miR-183 inhibitor (100 nmol/L), miR-183 mimic (50 nmol/L), or their corresponding negative controls. A dual-luciferase reporter assay was conducted to validate the binding interaction between miR-183 and the 3'-untranslated region (3'UTR) of PTEN. The effects of miR-183 on the AKT signaling pathway, apoptosis-related proteins, and cell viability were evaluated by quantitative real-time PCR, Western blotting, and the cell counting kit-8 assay, respectively. Results:MiR-183 expression was markedly upregulated in renal tissues from DN patients and DN model rats (both P<0.05). Inhibition of miR-183 significantly reduced renal miR-183 levels by 90.2% ( P<0.01), decreased fasting blood glucose by 65.3% ( P<0.01), and improved renal function parameters, including reductions in urinary protein (40.3%), blood urea nitrogen (32.1%), urinary albumin excretion rate (22.5%), and serum creatinine (40.2%) (all P<0.01). Histological analyses showed attenuation of glomerular lesions and glycogen accumulation. Bioinformatic prediction and experimental validation identified PTEN as a direct target of miR-183, confirmed by dual-luciferase assays. In vitro, miR-183 inhibition increased PTEN expression, reduced AKT phosphorylation, promoted podocyte proliferation, and suppressed apoptosis (upregulation of Bcl-2 and downregulation of cleaved-caspase-3). These effects were abolished upon PTEN knockdown. Conclusions:miR-183 aggravates DN by targeting PTEN and activating the AKT signaling pathway. Inhibition of miR-183 improves renal function and reduces podocyte apoptosis, suggesting miR-183 as a potential therapeutic target for DN.

Objective:To establish a dose-response curve of dicentric chromosomes and centromeric rings (dic+ r) in γ-ray irradiation-induced chromosomal aberrations in human peripheral blood lymphocytes through automated analysis.Methods:Peripheral blood samples from three healthy donors were irradiated in vitro at doses of 0, 0.5, 0.75, 1, 1.5, 2, 3, 4, and 5 Gy and a dose rate of 0.80 Gy/min using a 137Cs γ-ray source. Post-irradiation, lymphocytes were cultured based on standard protocols, harvested using an automatic cell harvester, and prepared on slides using an automatic slide preparation system. dic+ r were analyzed fully automatically using the DCScore software, and a dose-response curve of dic+ r was established through fitting and then validated using the CABAS software. Results:The dose-response curve followed a linear-quadratic model, i. e., y = 0.093 65+ 0.030 21 D+ 0.025 31 D2 ( R2 = 0.999 2), where y was the quantity of dic+ r and D was the absorbed dose of γ-ray irradiation (Gy). Doses to samples for blind validation were estimated using this curve, yielding deviations of less than 24% from the actual irradiation doses. Conclusions:The fully automated analysis of dic+ r in 137Cs γ-ray irradiation-induced chromosomal aberrations, followed by the construction of the dose-response curve, holds significant potential for rapid, high-throughput biodosimetry in large-scale nuclear emergencies.

Objective To investigate whether Dauricine(Dau)can ameliorate acute kidney injury induced by renal ischemia-reperfusion(IR)in mice.Methods C57BL/6 mice were randomly assigned to three experimental groups:sham operation,ischemia-reperfusion injury(IRI),and IRI treated with daunorubicin(IRI+Dau),with 12 animals in each group.Following oral administration of Dau(15 mg/kg),renal ischemia-reperfusion was induced,and blood and kidney tissue samples were collected 24 hours post-surgery.Histopathological changes were assessed using hematoxylin and eosin(HE)staining.Renal function was evaluated by measuring serum creatinine and blood urea nitrogen(BUN)levels.Protein expression related to lipid peroxidation was analyzed using western blotting and immunofluorescence.Inflammatory gene expression was determined via quantitative polymerase chain reaction(qPCR).Nuclear translocation of nuclear factor κB(NF-κB),a key inflammatory marker,was assessed using immu-nofluorescence.Statistical comparisons between groups were performed using t-tests.Results The administration of Dau significantly ameliorated IR-induced acute kidney injury compared to the Sham group.Serum creatinine(P<0.001)and urea nitrogen(P<0.000 1)levels were markedly decreased in Dau-treated mice relative to those in the IRI group.Furthermore,Dau significantly suppressed lipid peroxide production in renal tissues(P<0.001),without significantly affecting the expression levels of Gpx4(P=0.919)and Acsl4(P=0.086),two key proteins involved in lipid peroxidation.In addition,Dau effectively inhibited IR-induced nuclear translocation of NF-κB(P<0.001)and reduced apoptosis in kidney cells(P=0.004).Conclusion Dau mitigates IR-induced kidney damage by reducing the accumulation of lipid peroxides and inhibiting the nuclear translocation of NF-κB,thereby attenuating inflammation and renal cell apoptosis.

BACKGROUND:The sports medicine community has widely called for the use of machine learning technology to efficiently process the huge and complicated sports data resources,and construct intelligent sports injury prediction models,enabling accurate early warning of sports injuries.It is of great significance to comprehensively summarize and review such research results so as to grasp the direction of early warning model improvement and to guide the construction of sports injury prediction models in China. OBJECTIVE:To systematically review and analyze relevant research on sports injury prediction models based on machine learning technology,thereby providing references for the development of sports injury prediction models in China. METHODS:Literature search was conducted on CNKI,Web of Science and EBSCO databases,which mainly searched for literature related to machine learning techniques and sports injuries.Finally,61 articles related to sports injury prediction models were included for analysis. RESULTS AND CONCLUSION:(1)In terms of external risk feature indicators,there is a lack of competition scenario indicators,and the inclusion of related feature indicators needs to be further improved to further enrich the dimensions of the dataset for model training.In addition,the inclusion feature weighting methods of the sports injury prediction model are mainly based on filtering methods and the use of embedding and wrapping weighting methods needs to be strengthened in order to enhance the analysis of the interaction effects of multiple risk factors.(2)In terms of model body training,supervised learning algorithms become the mainstream choice.Such algorithms have higher requirements for the completeness of sample labeling information,and the application scenarios are easily limited.Therefore,the application of unsupervised and semi-supervised algorithms can be increased in the later stage.(3)In terms of model performance evaluation and optimization,the current studies mainly adopt two verification methods:HoldOut crossover and k-crossover.The range of AUC values is(0.76±0.12),the range of sensitivity is(75.92±11.03)%,the range of specificity is(0.03±4.54)%,the range of F1 score is(80.60±10.63)%,the range of accuracy is(69.96±13.10)%,and the range of precision is(70±14.71)%.Data augmentation and feature optimization are the most common model optimization operations.The accuracy and precision of the current sports injury prediction model are about 70%,and the early warning effect is good.However,the model optimization operation is relatively single,and data augmentation methods are often used to improve model performance.Further adjustments to the model algorithm and hyperparameters are needed to further improve model performance.(4)In terms of model feature extraction,most of the internal risk profile indicators included are mainly based on anthropometrics,training load,years of training,and injury history,but there is a lack of sports recovery and physical function indicators.

Objective: To examine the relationship between self-management behaviors and time perspective among patients with comorbid diabetes, so as to provide the evidence for improving self-management behaviors among patients with comorbid diabetes. Methods: The patients with comorbid diabetes who were registered in the chronic disease health management system of Minhang District, Shanghai Municipality in 2021, followed up regularly, and lived in Meilong Town were recruited. Demographic information and family history of diabetes were collected through questionnaire surveys. Time perspective and self-management behaviors were assessed using the Zimbardo Time Perspective Inventory and Diabetes Self-Management Behavior Scale, respectively. The relationship between self-management behaviors and time perspective was analyzed using a multivariable ordinal logistic regression model. Results: A total of 907 patients with comorbid diabetes were enrolled, including 472 males (52.04%) and 435 females (47.96%). There were 652 cases aged 65 years and above, accounting for 71.89%. In terms of the types of time perspective, 280 patients were future-oriented (30.87%), 236 were balanced (26.02%), 162 were sensation-seeking (17.86%), 123 were fatalistic (13.56%), and 106 were negative (11.69%). In terms of the self-management behaviors, 46 patients were good (5.07%), 643 were moderate (70.89%), and 218 were poor (24.04%). Multivariable ordinal logistic regression analysis showed that after adjusting for age, gender, educational level, marital status, occupation status, monthly income, and family history of diabetes, the patients with comorbid diabetes who had a future-oriented time perspective had better self-management behaviors (OR=1.874, 95%CI: 1.204-2.915). Conclusion The self-management behaviors among patients with comorbid diabetes are moderate to poor, and patients with a future-oriented time perspective can better engage in self-management behaviors.