To investigate the risk factors for acute kidney injury (AKI) following the use of amphotericin B deoxycholate and to develop a predictive model to guide clinical monitoring and intervention.

Objective:To construct an evidence-based practice program for dietary management of patients with non-dialysis chronic kidney disease (CKD) based on best evidence and to evaluate the effectiveness of its application.Methods:The best evidence for dietary management of non-dialysis CKD patients was summarized. From September to October 2022, following the evidence clinical transformation model of the Fudan University Centre for Evidence-based Nursing, the best evidence was screened and evidence-based practice program were developed, taking into account patients' wishes, expert opinions, and clinical contexts. From November 2022 through March 2023, baseline reviews, analysis of barriers and facilitators were implemented. Between April 2023 and April 2024, evidence-based practice was carried out in the Department of Nephrology of the Second Affiliated Hospital of Guangzhou Medical University to compare the implementation rate of review indicators at the system, practitioner, and patient levels, and practitioners' knowledge before and after the application of evidence.Results:A total of 14 review indicators were developed. The implementation rate of the 12 review indicators and the practitioners' knowledge of the CKD diet were elevated after the evidence-based practice ( P<0.05) . Conclusions:Evidence-based practice program for dietary management of patients with non-dialysis CKD has a positive effect on improving practitioners' knowledge of non-dialysis CKD diets, implementation rate of dietary management behaviors, and patients' dietary behaviors.

Objective:To analyze the expression of tumor-associated transmembrane protein 61 (TMEM61) in cholangiocarcinoma tissues and its influence on prognosis and immune infiltration, as well as the effect on the proliferation of cholangiocarcinoma cells.Methods:In the cholangiocarcinoma gene chip dataset (TCGA-CHOL), differentially expressed genes between cholangiocarcinoma tissues and normal bile duct tissues were screened, and the upregulated TMEM61 gene was selected for further analysis. Based on the TMEM61 expression, cholangiocarcinoma patients higher than the median value were classified as the high-expression group ( n=17), and those lower than the median value were classified as the low-expression group ( n=18). The Kaplan-Meier survival curve was plotted. Functional and pathway enrichment analyses were conducted on differentially expressed genes related to TMEM61, and the correlations between TMEM61 expression and immune cells and immune molecules were respectively analyzed. The expression level of TMEM61 in cholangiocarcinoma tissues was analyzed by immunohistochemistry; The effect of TMEM61 expression on the proliferation of cholangiocarcinoma cells was detected by Western blotting, CCK-8, clone formation assay, etc. Results:Compared with normal tissues, the expression of TMEM61 mRNA in cholangiocarcinoma tissues was significantly upregulated ( t=18.31, P<0.001). The overall survival rate of patients in the high-expression group of TMEM61 was significantly lower than that in the low-expression group, and the difference was statistically significant ( χ2=7.23, P=0.007). The differentially expressed genes related to TMEM61 were involved in cell proliferation, cell cycle and DNA replication, etc. Compared with normal tissues, regulatory T cells ( t=10.21, P<0.001) and M0-type macrophages ( t=5.89, P=0.008) were significantly increased in cholangiocarcinoma tissues. Plasma cells ( t=7.34, P=0.002), γδT cells ( t=9.87, P<0.001), and M2-type macrophages ( t=11.53, P<0.001) were significantly decreased in cholangiocarcinoma tissues. The expression of TMEM61 was correlated with neurociliary protein 1, tumor necrosis factor ligand superfamily member 15 and B7 homologous protein 3 (all P<0.05). The proportion of positive staining area of TMEM61 protein in normal tissues was (10.15±2.27) %, and that in cholangiocarcinoma tissues was (69.43±11.66) %. The difference was statistically significant ( t=14.97, P<0.001). Inhibition of TMEM61 expression led to a decrease in the number of cholangiocarcinoma cell clones and proliferation activity, and the differences were statistically significant (both P<0.01). Conclusion:The expression of TMEM61 is elevated in cholangiocarcinoma tissues and is associated with poor prognosis. The abnormally high expression of TMEM61 affects the infiltration of immune cells and promotes the proliferation of cholangiocarcinoma cells. TMEM61 is expected to become a potential biomarker for the prognosis assessment of cholangiocarcinoma.

To evaluate the clinical safety of four CD19-targeted and two BCMA-targeted chimeric antigen receptor T-cell (CAR-T) therapies.

Idiopathic intracranial hypertension (IIH) is a neurological disorder that causes an unexplained increase in intracranial pressure. Its main clinical manifestations include chronic headache, visual impairment, and typical unilateral or bilateral disk edema found on fundus examination. The diagnosis of IIH depends on the exclusion of other diseases that may cause increased intracranial pressure and further confirmation by systemic and neurological imaging. Current treatment strategies for IIH include lifestyle adjustments for weight loss, pharmacological interventions, and surgery if necessary to reduce intracranial pressure and relieve patient-related symptoms. Maximum protection and restoration of visual function. In the future, it is necessary to further improve the IIH diagnostic process and criteria to guide personalized treatment and prognosis judgment. The effective use of artificial intelligence technology for image segmentation and combined image omics analysis is expected to improve the accuracy of IIH intelligent diagnosis, achieve earlier and more accurate disease detection, and provide patients with a more personalized treatment path.

Objective To mine and analyze signals of acute kidney injury(AKI)related to drugs,comprehensively summarize the potential risk drugs,and provide a reference for clinically safe medication.Methods The AKI reports from January 2004 to September 2023 in the US FDA Adverse Event Reporting System(FAERS)were retrieved.Disproportionality methods were used to explore the relationship between drugs and AKI,and demographic information,time to onset,and patient outcomes were analyzed.Results Out of 1 253 drugs,159 were identified as AKI signal drugs.Among these,there were 49 antimicrobial agents(30.82%),including 35 antibiotics and 14 antiviral agents;33 antineoplastic agents(20.75%);and 25 hypotensive agents(15.72%).Drug-related AKI occurred mostly in the elderly,and the male-to-female ratio was 124∶100.The median time to onset for AKI related to antibiotics was≤8 d,with the third quartile≤21 d.Rivaroxaban and aspirin had higher proportions of death reports,with 33.03%and 31.44%respectively.Conclusions A multitude of drugs pose a risk for acute kidney injury,necessitating caution in their clinical application and the implementation of monitoring of renal function.The elderly are a high-risk group for drug-related AKI,and there are more males than females.For antibiotics,the first 21 days are the key monitoring period.For drugs that require long-term use,regular monitoring is necessary.

Objective:To construct an evidence-based practice program for dietary management of patients with non-dialysis chronic kidney disease (CKD) based on best evidence and to evaluate the effectiveness of its application.Methods:The best evidence for dietary management of non-dialysis CKD patients was summarized. From September to October 2022, following the evidence clinical transformation model of the Fudan University Centre for Evidence-based Nursing, the best evidence was screened and evidence-based practice program were developed, taking into account patients' wishes, expert opinions, and clinical contexts. From November 2022 through March 2023, baseline reviews, analysis of barriers and facilitators were implemented. Between April 2023 and April 2024, evidence-based practice was carried out in the Department of Nephrology of the Second Affiliated Hospital of Guangzhou Medical University to compare the implementation rate of review indicators at the system, practitioner, and patient levels, and practitioners' knowledge before and after the application of evidence.Results:A total of 14 review indicators were developed. The implementation rate of the 12 review indicators and the practitioners' knowledge of the CKD diet were elevated after the evidence-based practice ( P<0.05) . Conclusions:Evidence-based practice program for dietary management of patients with non-dialysis CKD has a positive effect on improving practitioners' knowledge of non-dialysis CKD diets, implementation rate of dietary management behaviors, and patients' dietary behaviors.

Objective To mine and analyze signals of acute kidney injury(AKI)related to drugs,comprehensively summarize the potential risk drugs,and provide a reference for clinically safe medication.Methods The AKI reports from January 2004 to September 2023 in the US FDA Adverse Event Reporting System(FAERS)were retrieved.Disproportionality methods were used to explore the relationship between drugs and AKI,and demographic information,time to onset,and patient outcomes were analyzed.Results Out of 1 253 drugs,159 were identified as AKI signal drugs.Among these,there were 49 antimicrobial agents(30.82%),including 35 antibiotics and 14 antiviral agents;33 antineoplastic agents(20.75%);and 25 hypotensive agents(15.72%).Drug-related AKI occurred mostly in the elderly,and the male-to-female ratio was 124∶100.The median time to onset for AKI related to antibiotics was≤8 d,with the third quartile≤21 d.Rivaroxaban and aspirin had higher proportions of death reports,with 33.03%and 31.44%respectively.Conclusions A multitude of drugs pose a risk for acute kidney injury,necessitating caution in their clinical application and the implementation of monitoring of renal function.The elderly are a high-risk group for drug-related AKI,and there are more males than females.For antibiotics,the first 21 days are the key monitoring period.For drugs that require long-term use,regular monitoring is necessary.

Objective:To analyze the expression of tumor-associated transmembrane protein 61 (TMEM61) in cholangiocarcinoma tissues and its influence on prognosis and immune infiltration, as well as the effect on the proliferation of cholangiocarcinoma cells.Methods:In the cholangiocarcinoma gene chip dataset (TCGA-CHOL), differentially expressed genes between cholangiocarcinoma tissues and normal bile duct tissues were screened, and the upregulated TMEM61 gene was selected for further analysis. Based on the TMEM61 expression, cholangiocarcinoma patients higher than the median value were classified as the high-expression group ( n=17), and those lower than the median value were classified as the low-expression group ( n=18). The Kaplan-Meier survival curve was plotted. Functional and pathway enrichment analyses were conducted on differentially expressed genes related to TMEM61, and the correlations between TMEM61 expression and immune cells and immune molecules were respectively analyzed. The expression level of TMEM61 in cholangiocarcinoma tissues was analyzed by immunohistochemistry; The effect of TMEM61 expression on the proliferation of cholangiocarcinoma cells was detected by Western blotting, CCK-8, clone formation assay, etc. Results:Compared with normal tissues, the expression of TMEM61 mRNA in cholangiocarcinoma tissues was significantly upregulated ( t=18.31, P<0.001). The overall survival rate of patients in the high-expression group of TMEM61 was significantly lower than that in the low-expression group, and the difference was statistically significant ( χ2=7.23, P=0.007). The differentially expressed genes related to TMEM61 were involved in cell proliferation, cell cycle and DNA replication, etc. Compared with normal tissues, regulatory T cells ( t=10.21, P<0.001) and M0-type macrophages ( t=5.89, P=0.008) were significantly increased in cholangiocarcinoma tissues. Plasma cells ( t=7.34, P=0.002), γδT cells ( t=9.87, P<0.001), and M2-type macrophages ( t=11.53, P<0.001) were significantly decreased in cholangiocarcinoma tissues. The expression of TMEM61 was correlated with neurociliary protein 1, tumor necrosis factor ligand superfamily member 15 and B7 homologous protein 3 (all P<0.05). The proportion of positive staining area of TMEM61 protein in normal tissues was (10.15±2.27) %, and that in cholangiocarcinoma tissues was (69.43±11.66) %. The difference was statistically significant ( t=14.97, P<0.001). Inhibition of TMEM61 expression led to a decrease in the number of cholangiocarcinoma cell clones and proliferation activity, and the differences were statistically significant (both P<0.01). Conclusion:The expression of TMEM61 is elevated in cholangiocarcinoma tissues and is associated with poor prognosis. The abnormally high expression of TMEM61 affects the infiltration of immune cells and promotes the proliferation of cholangiocarcinoma cells. TMEM61 is expected to become a potential biomarker for the prognosis assessment of cholangiocarcinoma.

Idiopathic intracranial hypertension (IIH) is a neurological disorder that causes an unexplained increase in intracranial pressure. Its main clinical manifestations include chronic headache, visual impairment, and typical unilateral or bilateral disk edema found on fundus examination. The diagnosis of IIH depends on the exclusion of other diseases that may cause increased intracranial pressure and further confirmation by systemic and neurological imaging. Current treatment strategies for IIH include lifestyle adjustments for weight loss, pharmacological interventions, and surgery if necessary to reduce intracranial pressure and relieve patient-related symptoms. Maximum protection and restoration of visual function. In the future, it is necessary to further improve the IIH diagnostic process and criteria to guide personalized treatment and prognosis judgment. The effective use of artificial intelligence technology for image segmentation and combined image omics analysis is expected to improve the accuracy of IIH intelligent diagnosis, achieve earlier and more accurate disease detection, and provide patients with a more personalized treatment path.