Objective:To evaluate the effects and underlying mechanisms of metabolites derived from the kidney-reinforcing, blood circulation-activating, and collateral dredging decoction on the proliferation of multiple myeloma (MM) KM3 cells.Methods:MM KM3 cells in the logarithmic growth phase were treated with 3%, 6%, 9%, or 12% metabolites of kidney-reinforcing, blood circulation-activating, and collateral dredging decoction. Cell viability was assessed using the CCK-8 assay. Apoptosis and necrosis were evaluated using flow cytometry and TUNEL staining. Mitochondrial and cellular ultrastructural changes were examined using transmission electron microscopy. mRNA and protein expression levels of dynamin-related protein 1 (Drp1), mitochondrial fission protein 1 (Fis1), mitochondrial fission factor (MFF), PTEN-induced kinase 1 (Pink1), and E3 ubiquitin ligase (Parkin) were determined through quantitative real-time PCR and western blotting. High-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) combined with network pharmacology, was utilized for reverse verification of the pharmacodynamic mechanisms and therapeutic targets underlying the anti-MM activity of this decoction.Results:The metabolites of the kidney-reinforcing, blood circulation-activating, and collateral dredging decoction inhibited KM3 cell proliferation and induced apoptosis in a dose-dependent manner. Transmission electron microscopy revealed increased mitochondrial fission and autophagic structures, with effects intensifying at higher metabolite concentrations. mRNA and protein expression of Drp1, Fis1, MFF, Pink1, and Parkin were significantly upregulated in treatment groups compared to controls ( P<0.05), with the most pronounced effects observed in the 12% metabolite group ( P<0.01). HPLC-MS/MS identified 121 bioactive compounds in BHTF, which shared 474 overlapping targets with MM. Enrichment analysis suggested that BHTF exerts antitumor effects primarily through apigenin, palmatine, and other key components by modulating TNF, NF-κB, and mitophagy pathways. Conclusion:The kidney-reinforcing and blood circulation-activating and collateral dredging decoction suppresses the proliferation of MM KM3 cells, potentially through mechanisms involving the regulation of mitochondrial dynamics and induction of autophagy.

Objective:To evaluate the effects and underlying mechanisms of metabolites derived from the kidney-reinforcing, blood circulation-activating, and collateral dredging decoction on the proliferation of multiple myeloma (MM) KM3 cells.Methods:MM KM3 cells in the logarithmic growth phase were treated with 3%, 6%, 9%, or 12% metabolites of kidney-reinforcing, blood circulation-activating, and collateral dredging decoction. Cell viability was assessed using the CCK-8 assay. Apoptosis and necrosis were evaluated using flow cytometry and TUNEL staining. Mitochondrial and cellular ultrastructural changes were examined using transmission electron microscopy. mRNA and protein expression levels of dynamin-related protein 1 (Drp1), mitochondrial fission protein 1 (Fis1), mitochondrial fission factor (MFF), PTEN-induced kinase 1 (Pink1), and E3 ubiquitin ligase (Parkin) were determined through quantitative real-time PCR and western blotting. High-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) combined with network pharmacology, was utilized for reverse verification of the pharmacodynamic mechanisms and therapeutic targets underlying the anti-MM activity of this decoction.Results:The metabolites of the kidney-reinforcing, blood circulation-activating, and collateral dredging decoction inhibited KM3 cell proliferation and induced apoptosis in a dose-dependent manner. Transmission electron microscopy revealed increased mitochondrial fission and autophagic structures, with effects intensifying at higher metabolite concentrations. mRNA and protein expression of Drp1, Fis1, MFF, Pink1, and Parkin were significantly upregulated in treatment groups compared to controls ( P<0.05), with the most pronounced effects observed in the 12% metabolite group ( P<0.01). HPLC-MS/MS identified 121 bioactive compounds in BHTF, which shared 474 overlapping targets with MM. Enrichment analysis suggested that BHTF exerts antitumor effects primarily through apigenin, palmatine, and other key components by modulating TNF, NF-κB, and mitophagy pathways. Conclusion:The kidney-reinforcing and blood circulation-activating and collateral dredging decoction suppresses the proliferation of MM KM3 cells, potentially through mechanisms involving the regulation of mitochondrial dynamics and induction of autophagy.

Objective:To explore the clinical characteristics and risk factors of pediatric kidney transplantation (KT).Methods:From January 1, 2010 to September 30, 2022, retrospective analysis was performed for the relevant clinical data of 81 pediatric recipients of primary KT at Organ Transplant Center of Shanghai Changzheng Hospital. The occurrences of acute rejection (AR) ,delayed graft function (DGF), infection, myelosuppression, tumor and other complications were observed within 1 year post-KT. They were grouped according to whether or not AR/DGF occurred. Univariate analysis speculated the effect of AR and DGF on renal function at 1 year after transplantation. Binary Logistic regression was employed for examining the risk factors related to AR/DGF.Results:During follow-ups, transplanted kidney was removed due to an embolization of renal vessels and dialysis resumed (n= 5). One child had failed graft due to the recurrence of original disease and dialysis resumed. The remaining 75 children had an excellent recovery of graft function. At the end of follow-ups, survival for transplant recipients and transplanted kidneys was 100% (81/81 ) and 92.6% (75/81) respectively. 23 patients (28.4%) developed DGF, including 20 child recipients of C-I donors. Among DGF recipients, 21 (91.3%) were immune induced with anti-CD25 humanized monoclonal antibody and 2 (8.7 %) with porcine antihuman lymphocyte immunoglobulin (pALG). Within the first year post-KT, 13 patients (16.1%) developed AR, including 11 child recipients of C-I donors. Induction was made with anti-CD25 humanized monoclonal antibody (n=8), pALG (n=4) and anti-human T lymphocyte rabbit immunoglobulin (n=1). And 12 cases were reversed with MP (methylprednisolone) shock therapy while another ineffective case was rescued by an intravenous infusion of rATG (rabbit anti-human thymocyte immunoglobulin). During postoperative follow-ups, 14 (17.3 %) KT recipients had an onset of pulmonary infection (n=7), upper respiratory tract infection (n=3), urinary tract infection (n=5), gastrointestinal infection (n=2) and abdominal cavity infection (n=1). The causative pathogens were bacteria (n=14) and viruses (n=4). Among 7 cases (8.6%) of myelosuppression, there were leukopenia (n=6) and thrombocytopenia (n=1 ). During 1-year follow-ups, no malignancy occurred. At the last follow-up, blood creatinine was (72.79±21.07) μmol/L in non-AR/DGF recipients. For AR/DGF recipients, blood creatinine levels were (68.83±10.78) and (74.20±18.70) μmol/L. There was no significant inter-group difference ( F=0.14, P=0.87). In groups with and without DGF, the incidence of bone marrow suppression in the children with DGF was significantly higher (21. 74 %) than that in the untreated group (3.45%), with a statistically significant difference ( P=0.02). However, there was no statistically significant difference in the age, sex, donor source, infection, and types of immune-induced drugs in AR, DGF occurrence and no occurrence group. logistic Regression analysis showed that immunoinduction therapy with lymphocyte inhibitor ( OR=0.074, 95 %CI: 0.009-0.0643, P=0.018) and bone marrow suppression ( OR=0.045, 95%CI: 0.004-0.515, P=0.013) were risk factors for DGF. Conclusion:KT in children may obtain decent outcomes. Immunoinduction therapy with lymphocyte inhibitors and occurrence of myelosuppression are risk factors for postoperative DGF. The occurrence of AR/DGF in early postoperative period does not affect the level of kidney function in children at 1 year post-KT. It is recommended to closely follow up and accumulate experiences for optimizing long-term outcomes.

Nursing quality management is an important segment in ensuring patients'safety and improving medical quality.Artificial intelligence supports for achieving modemization,scientization and refinement of nursing quality management.This review aims to provide an overview of artificial intelligence and its current application status in the field of nursing quality management,pointing out the challenges and coping strategies in its application,providing suggestions for the application of artificial intelligence in the field of nursing quality management.

Objective:To analyze the research hotspots and trends of the consolidated framework for implementation research (CFIR) in nursing through bibliometrics, so as to provide reference for implementation research in nursing in China.Methods:The article on the application of CFIR in nursing was searched in the Web of Science core collection, with a search period from database establishment to August 8, 2023. CiteSpace 6.2.R4 software was used for analysis.Results:A total of 165 articles were included. The overall number of articles on the application of CFIR in nursing was on the rise. The top five countries with the highest number of publications were the United States, Canada, Australia, the United Kingdom, and the Netherlands. The top five institutions in terms of publication volume were the United States Department of Veterans Affairs, the Veterans Health Administration, the University of North Carolina, the University of Pennsylvania, and the Feinberg School of Medicine. Research hotspots included implementation science, implementation research, qualitative research, acceptability, barriers, systematic review, health disparities, symptom management, quality improvement, primary health care, and so on.Conclusions:The research on CFIR in the domestic nursing field is still in its early stages. We should draw on the experience of foreign study, verify the applicability of the Chinese version of CFIR and the connotation of its various elements, and promote the development of high-quality nursing implementation research.

Objective To evaluate the long-term safety of related kidney donors after unilateral nephrectomy.Methods A total of 91 related donors who received nephrectomy in our hospital from 2006 to 2011 were followed up for at least 10 years by outpatient,telephone,or WeChat.During the follow-up period,the serum creatinine,serum uric acid,blood urea nitrogen,estimated glomerular filtration rate(eGFR),hematuria,urinary protein,blood pressure,blood glucose and blood lipids of the donors were detected,and the changes before and after nephrectomy were analyzed.Results At 1 month after operation,the levels of serum creatinine,blood urea nitrogen and serum uric acid of the donor were significantly higher than those before operation(all P＜0.05),but still within the normal range.The patients were followed up for 1,3,5 and 10 years after operation.Compared with 1 month after operation,the serum creatinine,blood urea nitrogen and serum uric acid were relatively stable(all P＞0.05).The eGFR of donors of different ages remained relatively stable for a long time after operation.There were 3 cases of endoscopic hematuria and 4 cases of proteinuria after surgery,and these symptoms were relieved after rest and symptomatic treatment.Ten(11.0%)donors developed hypertension 5(5.5%)developed hyperlipidemia,and 5(5.5%)developed diabetes mellitus.No patient died.Conclusion Nephrectomy is safe and feasible for healthy related donors.To ensure the safety of the donors,comprehensive evaluation before nephrectomy and regular follow-up after nephrectomy are essential.

Nursing quality management is an important segment in ensuring patients'safety and improving medical quality.Artificial intelligence supports for achieving modemization,scientization and refinement of nursing quality management.This review aims to provide an overview of artificial intelligence and its current application status in the field of nursing quality management,pointing out the challenges and coping strategies in its application,providing suggestions for the application of artificial intelligence in the field of nursing quality management.

Artificial intelligence has shown broad application prospects in the field of nursing management, and is expected to become an important breakthrough point in improving the efficiency and level of nursing management. This study reviewed the current research status of artificial intelligence in the field of nursing management, summarized the progress of artificial intelligence in nursing personnel scheduling, disease risk management and optimizing nursing management processes, analyzed the opportunities and challenges of artificial intelligence application in nursing management, and provides reference for the development and application of artificial intelligence in nursing management in the future.

Objective:To test whether the constructed intervention model of advance care planning (ACP) for patients with advanced cancer can be successfully implemented and the preliminary intervention effect, which provides reference for empirical research.Methods:32 cases of advanced cancer patients and 25 cases of their families at the Fifth Affiliated Hospital of Zunyi Medical University, Zhuhai were selected. The patients were subdivided into the experimental group and the control group by random number table method. The control group received routine nursing, while the experimental group adopted the intervention model of "VIP for future care" on the basis of customary nursing. We measured the main outcome indicators: enrollment rate, consent rate, completion rate and loss of follow-up rate and secondary outcome indicators: decision-making certainty, end-of-life care preference and post-intervention satisfaction of patients and their families, within 1 week and 1 month after intervention.Results:The enrollment rate, consent rate and loss of follow-up rate were 74.6% (206/276), 36.9% (76/151)and 15.6% (5/32), respectively. After intervention, the completion rates of the experimental group and the control group were 16/16 and 15/16 within one week, and 14/16 and 13/16 within one month. All of the family members were conducted during the follow-up period. The intervention mode of "VIP for future care" had a statistically significant difference in decision-making certainty between the two groups of patients ( β=0.63, 95% CI 0.08-1.18, P<0.05), no statistically significant difference in end-of-life care preference between the two groups of patients and their families ( P>0.05), and had a statistically significant difference in "whether to recommend this project to others" between the two groups ( χ2 value was 4.167 , P<0.05). Conclusions:On the premise of sufficient preparation, the "VIP for future care" intervention mode can be successfully implemented in advanced cancer patients in mainland China, can improve the decision-making certainty of patients and the satisfaction of patients and their families, and it is recommended. And should be applied to ACP intervention for patients with advanced cancer.

Objective:To explore the clinical characteristics, diagnosis and treatment of cryptococcal infection after renal transplantation.Methods:The clinical data were analyzed retrospectively for 17 hospitalized cases of cryptococcal infection after kidney transplantation from January 2003 to December 2019. The relevant parameters included site of infection, clinical manifestations, complications, comorbidities, treatments and outcomes. The average time to infection after transplantation was (7.9±5.4) years, the median baseline level of creatinine was 137(75-741) μmol/L. Concurrent conditions included hypertension (n=15, 88.2%), diabetes (n=6, 35.3%) and chronic hepatitis (n=9, 52.9%). The most common site of infection was central nervous system (88.2%), followed by lungs (29.4%) and skin (17.6%).Results:The clinical manifestations were diverse. Most patients received amphotericin B liposome and/or fluconazole as an initial option. The outcomes were curing (n=17, 58.8%), death from cryptococcal infection (n=5, 29.4%), partial relief (n=1, 5.9%) and stable disease (n=1, 5.9%). Among 10 curative cases, 2 cases died from other causes and 4 cases returned to hemodialysis with graft loss.Conclusions:Cryptococcosis is typically a late-occurring infection in kidney transplant recipients. Many factors, such as complications, nonstandard antifungal treatment, immune dysbalance, have adverse prognoses. Strengthening follow-ups, dealing with complications, validating the diagnosis early, interdepartmental cooperations, standardizing antifungal therapy and balancing immune status may improve the outcomes of cryptococcosis after kidney transplantation.