The accumulation of uremic toxins such as urea nitrogen, blood creatinine, and uric acid of patients with renal failure in vivo would lead to aggravated kidney damage. In this study, coated aldehyde oxy-starch (CAO) was used as an adsorbent to investigate its in vitro adsorption performance on renal failure indexes for urea, indoxyl sulfate (INS), monomethylamine (MMA), dimethylamine (DMA), uric acid (UA), and creatinine (Cr). The effects of variables such as pH, temperature, concentration, dosage, and time on the adsorption capacity of CAO were systematically investigated, employing analytical techniques of high-performance liquid chromatography (HPLC) and gas chromatography (GC). The results revealed that CAO exhibited a strong adsorption capacity for urea, INS, and MMA, alongside a moderate adsorption capacity for DMA, UA, and Cr. The adsorption kinetics and thermodynamic studies indicated that the adsorption of urea and UA by CAO were fitted in pseudo-first-order kinetics, and the adsorption isotherm aligned with the Freundlich adsorption model. The enthalpy change ΔH of urea in adsorption was in the range of 40 to 60 kJ·mol^-1, which demonstrated the presence of strong adsorption force due to the interactions of coordinating groups. The ΔH of UA was greater than 80 kJ·mol^-1, indicating the generation of chemical bonds during the adsorption. Both of them, Gibbs free energy ΔG was less than 0, within the range of -20 to 0 kJ·mol^-1, suggested that the adsorption of urea and UA by CAO occurred spontaneously as physical adsorption process. The adsorption entropy ΔS of urea and UA was > 0, which indicated an increase in entropy throughout the adsorption. The infrared spectroscopygram showed the formation of a chemical bond, specifically the imine bond, following the adsorption of urea by CAO, thereby indicating a chemical reaction during the adsorption. This study elucidates the adsorption mechanism of CAO on various indexes of renal failure, providing a scientific basis for its clinical usage.

Objective: To explore the learning curve of transurethral 450 nm blue light vaporization of the prostate (TUBVP) in a district hospital，in order to provide reference for clinicians who plan to perform TUBVP. Methods: The clinical data of 56 patients with benign prostatic hyperplasia (BPH) who received TUBVP performed by the same group of surgeons in Chang'an District Hospital during Jun. and Dec. 2023 were retrospectively analyzed. Cumulative sum (CUSUM) was used to fit the learning curve of ratio of volume to operating time (RVOT) of prostate volume /450 nm blue light. The learning curve was divided into different stages according to the inflection points，and the clinical data of patients operated at different stages were analyzed and compared. Results: The learning curve of TUBVP was 21 cases，including 1-21 cases in the learning stage，22-38 cases in the improvement stage and 39-56 cases in the maturity stage. With the increase of cases，the postoperative bladder irrigation time reduced \[40.00 (26.00，44.50) h vs. 23.00(20.50，34.00) h vs. 23.50(14.75，40.75) h\]，with statistical difference (P<0.05). The surgical efficiency increased \[(0.51±0.14) vs. (0.55±0.17) vs. (0.63±0.23)\]，while the reduction of hemoglobin \[(6.43±7.35) g/L vs. (5.65±10.91) g/L vs. (2.61±7.36) g/L\]，catheter indwelling time \[70.0 (66.0，106.0) h vs. 71.0 (66.0，89.0) h vs. 66.0 (58.5，78.5) h\]，and incidence of complications (9.5% vs. 5.9% vs. 0) in the three stages showed a gradually decreasing trend，but with no statistical significance (P>0.05). Conclusion: The learning curve of TUBVP is 21 cases. For clinicians in district hospitals，TUBVP is a worthy choice.

PURPOSE: Intertrochanteric fracture (ITF) classification is crucial for surgical decision-making. However, orthopedic trauma surgeons have shown lower accuracy in ITF classification than expected. The objective of this study was to utilize an artificial intelligence (AI) method to improve the accuracy of ITF classification. METHODS: We trained a network called YOLOX-SwinT, which is based on the You Only Look Once X (YOLOX) object detection network with Swin Transformer (SwinT) as the backbone architecture, using 762 radiographic ITF examinations as the training set. Subsequently, we recruited 5 senior orthopedic trauma surgeons (SOTS) and 5 junior orthopedic trauma surgeons (JOTS) to classify the 85 original images in the test set, as well as the images with the prediction results of the network model in sequence. Statistical analysis was performed using the SPSS 20.0 (IBM Corp., Armonk, NY, USA) to compare the differences among the SOTS, JOTS, SOTS + AI, JOTS + AI, SOTS + JOTS, and SOTS + JOTS + AI groups. All images were classified according to the AO/OTA 2018 classification system by 2 experienced trauma surgeons and verified by another expert in this field. Based on the actual clinical needs, after discussion, we integrated 8 subgroups into 5 new subgroups, and the dataset was divided into training, validation, and test sets by the ratio of 8:1:1. RESULTS: The mean average precision at the intersection over union (IoU) of 0.5 (mAP50) for subgroup detection reached 90.29%. The classification accuracy values of SOTS, JOTS, SOTS + AI, and JOTS + AI groups were 56.24% ± 4.02%, 35.29% ± 18.07%, 79.53% ± 7.14%, and 71.53% ± 5.22%, respectively. The paired t-test results showed that the difference between the SOTS and SOTS + AI groups was statistically significant, as well as the difference between the JOTS and JOTS + AI groups, and the SOTS + JOTS and SOTS + JOTS + AI groups. Moreover, the difference between the SOTS + JOTS and SOTS + JOTS + AI groups in each subgroup was statistically significant, with all p < 0.05. The independent samples t-test results showed that the difference between the SOTS and JOTS groups was statistically significant, while the difference between the SOTS + AI and JOTS + AI groups was not statistically significant. With the assistance of AI, the subgroup classification accuracy of both SOTS and JOTS was significantly improved, and JOTS achieved the same level as SOTS. CONCLUSION In conclusion, the YOLOX-SwinT network algorithm enhances the accuracy of AO/OTA subgroups classification of ITF by orthopedic trauma surgeons.
Humans ; Hip Fractures/diagnostic imaging* ; Orthopedic Surgeons ; Algorithms ; Artificial Intelligence

Sepsis is a life-threatening organ dysfunction syndrome caused by a dysregulated host response to infection. Septic acute kidney injury (SAKI) is one of the most common complications of sepsis, and the occurrence of acute kidney injury (AKI) indicates that the patient's condition is critical with a poor prognosis. The traditional view holds that the main mechanism of SAKI is the reduction of renal blood flow, inadequate renal perfusion, inflammatory response, and microcirculatory dysfunction caused by sepsis, which subsequently leads to ischemia and necrosis of renal tubular cells. Recent research findings indicate that processes such as autophagy and other forms of programmed cell death play an increasingly important role. Autophagy is a programmed intracellular degradation process and is a form of programmed cell death. Cells degrade their cytoplasmic components via lysosomes, breaking down and recycling intracellular constituents to meet their metabolic needs, maintain intracellular homeostasis, and renew organelles. During SAKI, autophagy plays a crucial protective role through various mechanisms, including regulating inflammation and immune responses, clearing damaged organelles, and maintaining stability in the intracellular environment. In recent years, the role of autophagy in the pathogenesis and treatment of SAKI has received widespread attention. Research has confirmed that various intracellular signaling pathways and signaling molecules targeting autophagy [such as mammalian target of rapamycin (mTOR) signaling pathway, AMP-activated protein kinase (AMPK) signaling pathway, nuclear factor-κB (NF-κB) signaling pathway, and Sirtuins (SIRT), autophagy associated factor Beclin-1, and Toll-like receptor (TLR)] are involved in the development of SAKI. Due to the complex pathogenesis of SAKI, current treatment strategies include fluid management, infection control, maintenance of internal environment balance, and renal replacement therapy; however, the mortality remains high. In recent years, it has been found that autophagy plays a critical protective role in sepsis-mediated AKI. As a result, an increasing number of drugs are being developed to alleviate SAKI by regulating autophagy. This article reviews the latest advances in the role of autophagy in the pathogenesis and treatment of SAKI, with the aim of providing insights for the development of new drugs for SAKI patients.
Humans ; Acute Kidney Injury/etiology* ; Autophagy ; Sepsis/complications* ; Signal Transduction

  Objective  To identify the risk factors for postoperative nausea and vomiting (PONV) in surgical patients undergoing patient controlled intravenous analgesia (PCIA).  Methods  Our study was a retrospective cohort study, including patients who underwent surgery at Peking Union Medical College Hospital from July 1 to October 31, 2023 and received PCIA after surgery. Patient characteristics, medical history, surgical information, intraoperative medication information, postoperative analgesia follow-up information were obtained through the electronic medical record system. The patients were divided into PCIA-PONV group and non-PCIA-PONV group, depending on the occurrence of PONV during PCIA, and all patients were also divided into PCIA-POV group and non-PCIA-POV according to whether postoperative vomiting (POV) occurred. Multivariate Logistic regression analysis was used to identify the risk factors for PCIA-PONV and PCIA-POV.  Results  A total of 1373 patients were included in this study, with 676 cases in PCIA-PONV group. The incidence of PCIA-PONV was 49.2%. There were 285 patients in PCIA-POV group, and the incidence of PCIA-POV was 20.8%. The results of multivariate Logistic regression analysis showed that female (OR=2.134, 95% CI: 1.590-2.865, P < 0.001) and abdominal surgery (OR=1.655, 95% CI: 1.253-2.186, P < 0.001) were risk factors for PCIA-PONV, whereas the increase of age (OR=0.990, 95% CI: 0.982-0.998, P=0.019) and the increase of BMI (OR=0.961, 95% CI: 0.932-0.991, P=0.012) were protective factors for PCIA-PONV. Female (OR=2.646, 95% CI: 1.754-3.992, P < 0.001), history of general anesthesia (OR=1.372, 95% CI: 1.042-1.806, P=0.024), and intraoperative use of high-dose opioids (OR=1.607, 95% CI: 1.206-2.142, P=0.001) were risk factors for PCIA-POV, whereas no intraoperative use of neuromuscular blocking antagonists (OR=0.393, 95% CI: 0.237-0.651, P < 0.001) was protective factor for PCIA-POV.  Conclusions  Our study reveals the risk factors for PONV in surgical patients undergoing PCIA, and shows that comprehensive preoperative assessment and reasonable perioperative management strategies are significant in the prevention of PCIA-PONV.

【Objective】 To investigate the application value of 450 nm blue laser vaporization in the treatment of benign prostatic hyperplasia (BPH) in district hospitals, so as to provide reference for the selection of BPH treatment methods in district-level hospitals. 【Methods】 The clinical data of 39 BPH patients who received surgical treatment in Chang’an Hospital during Jan.and Sep.2023 were retrospectively analyzed.The patients were divided into two groups, including 19 in blue laser group treated with 450 nm blue laser vaporization and 20 in the TURP group treated with transurethral resection of the prostate (TURP).The operation time, hemoglobin decline, postoperative bladder irrigation time, catheter indwelling time and adverse events were compared between the two groups. 【Results】 All operations were successfully completed.In the blue laser group, the operation time [(45.11±22.08) min vs.(81.25±29.37) min], postoperative bladder irrigation time [(34.05±9.41) h vs.(47.60±9.05) h] and the decrease of hemoglobin [(7.79± 5.86) g/L vs.(16.40±10.23) g/L] were significantly lower than those in the TURP group (P<0.05).There was 1 case of urinary retention in the blue laser group, and there was no significant difference in indwelling catheter time between the two groups (P>0.05). 【Conclusion】 The 450 nm blue laser vaporization of prostate has advantages of less blood loss, shorter operation time and shorter postoperative irrigation time.Therefore, it should be considered as a preferable option for BPH in primary hospitals.

With the development of minimally invasive technology, robot-assisted laparoscopic radical prostatectomy (RARP) has become the main method and gold standard in the treatment of organ-localized prostate cancer. After previous exploration of various surgical approaches and surgical methods in our center, we first proposed the modified (port-free) single-site RARP (pf-ssRARP), which has been proved safe and feasible by theoretical verification and practical operation. The technique has certain advantages in postoperative rehabilitation, urinary control recovery, sexual function improvement, incision cosmetics and social economics. In this paper, the key steps of this technique are introduced and illustrated in detail.

Objective To investigate the role of PSMA4 in the prognosis,diagnosis and immune infiltration of lung adenocarcinoma(LUAD),and explore its underlying mechanism.Methods The expression profiles and clinical data of LUAD patients were sourced from the Cancer Genome Atlas(TCGA)database.The expression level of PSMA4 in LUAD tissues(n=539)and normal tissues(n=59)were compared using the Wilcoxon rank-sum test.The expression levels of PSMA4 in LUAD tissues and normal tissues were validated by analyzing the GSE40791 and GSE10072 LUAD datasets obtained from the Gene Expression Omnibus(GEO)database.In addition,tumor and adjacent non-cancerous tissues were collected from 10 LU AD undergoing lung biopsy by fiberoptic bronchoscopy in Second Affiliated Hospital of Army Medical University from January to December 2023.The PSMA4 expression in above samples was further verified using RT-qPCR.RT-qPCR was performed to detect the expression of PSMA4 in lung cancer cells and normal lung epithelial cells.Functional enrichment analysis and immune cell infiltration analysis were conducted on the cells with high and low expression of PSMA4.Cox regression analysis and Kaplan-Meier(KM)survival analysis were used to determine the diagnostic and prognostic value of PSMA4 for LUAD,and a nomogram was constructed to predict the overall survival rate at different time points.Results The analysis of TCGA datasets,GSE40791,and GSE10072 LUAD data revealed that PSMA4 expression was significantly higher in LUAD tissues than in normal tissues(P＜0.01).RT-qPCR further confirmed that the expression of PSMA4 was obviously elevated in LUAD tissues and lung cancer cells than adjacent non-cancerous tissues and normal lung epithelial cells(P＜0.01).High PSMA4 expression could be regarded as a marker for LUAD diagnosis and poor prognosis,and was associated with reduced proportions of Tem cells,TFH cells,B cells,NK cells,Tcm cells,and mast cells in the tumor microenvironment.Conclusion PSMA4 presents significant diagnostic performance for LUAD,and is closely associated with the prognosis and immune infiltration of this malignancy.

Heme oxygenase-1(HO-1)is an inducible heme oxygenase and a catalytic enzyme for heme decomposition reactions,which can catalyze the heme decomposition into CO,biliverdin and Fe2+.HO-1 and its metabolites have anti-inflammatory,antioxidant and anti-apoptotic effects in human body,and play an important role in neurodegenerative diseases such as Alzheimer's disease,Parkinson's disease,amyotrophic lateral sclerosis,and Huntington's disease.This article will review the production,distribution,and gene structure of HO-1,the biological characteristics of its metabolites,and the role and mechanism of HO-1 in neurodegenerative diseases,in order to provide a theoretical basis for the clinical application of HO-1.