OBJECTIVE To upgrade the drug traceability code management system for a pediatric hospital under the “payment by code” background， aiming to comprehensively enhance traceability integrity， efficiency， and compliance. METHODS Taking Xiamen Children’s Hospital as the implementation setting， a before-and-after control design was adopted to construct an intelligent drug traceability code management system through systematic upgrades involving the technology platform， core mechanisms， and coordination with medical insurance. Key interventions included： upgrading a traceability code management platform and designing a dynamic code pool； innovating differentiated traceability mechanisms for routine， split-dose， and special drugs； establishing a tiered early-warning and emergency response system； and constructing a data coordination and quality control system. The drug traceability code upload rate served as the primary outcome. Process indicators such as the root causes distribution of failed uploads and the duration of medication returns， and a comprehensive outcome （the number of insurance-flagged abnormal prescriptions） were also analyzed. The data between the baseline period （April 2025） and the observation period （June-August 2025） were compared and evaluated. RESULTS After the upgrade， the overall upload rate of drug traceability codes increased from 9.21% （baseline） to 99.86% （August 2025）. The upload rate of traceability codes in previously unmanaged areas， such as the inpatient pharmacy and pharmacy intravenous admixture services， soared from 0 to nearly 100%. The proportion of non-uploads due to system issues fell from 66.44% （June 2025） to 2.62% （August Additionally， the number of insurance-flagged） abnormal prescriptions dropped sharply from 2 275.00 in the first “payment by code” policy month （July 2025） to 212.00 by the end of the observation period （August 2025）， a 90.70% decrease. CONCLUSIONS The developed management system effectively addresses complex scenario challenges such as high-frequency drug splitting. It significantly enhances traceability code upload performance and ensures a high degree of compliance with medical insurance data requirements. These outcomes contribute to proactive risk mitigation against insurance claim denials and demonstrate a concurrent optimization of pharmacy operations.

Hepatocellular carcinoma (HCC) develops within a profoundly immunosuppressive tumor immune microenvironment (TIME), which limits the efficacy of immunotherapy. Polarization of tumor-associated macrophages (TAMs) toward a pro-tumorigenic M2 phenotype is a major driver of immune escape. Ferroptosis, an iron-dependent regulated cell death program, intersects with hepatic iron metabolism and immune regulation and thus offers promising points of therapeutic intervention. This review systematically elucidates the mechanistic role of TAM ferroptosis in HCC immune evasion and highlights a “bidirectional regulation” intervention strategy grounded in the Traditional Chinese medicine (TCM) principle of “fortifying healthy qi and eliminating pathogens” (Fuzheng Quxie). This strategy employs “eliminating pathogens” (Quxie) approaches to exploit the metabolic vulnerability of M2-like TAMs and precisely induce their ferroptosis. Moreover, it utilizes “fortifying healthy qi” (Fuzheng) approaches to protect M1-like TAMs and CD8⁺ T cells from oxidative damage. This parallel “induction-protection” paradigm demonstrates the unique advantages of TCM in systemically remodeling TIME through multitarget synergistic actions. Accordingly, precision regulation of TAM ferroptosis based on the Fuzheng Quxie theory represents a promising integrative Chinese-Western medicine strategy for overcoming current bottlenecks in HCC immunotherapy, although its clinical translational potential warrants further validation.

Objective:To explore the genetic characteristics of a fetus affected with Structural heart defects and renal anomalies syndrome (SHDRA).Methods:A pedigree with SHDRA (fetus and the parents) who had visited the Affiliated Women and Children′s Hospital of Ningbo University in April 2023 was selected as the study subject. Clinical data of the family were collected. A total of 10 mL of amniotic fluid cells from the fetus and 5 mL of peripheral blood samples from the parents were collected for genomic DNA extraction. Trio whole-exome sequencing (Trio-WES) was performed, and Sanger sequencing was used to validate candidate variants in the family. The identified variants were classified according to the Standards and Guidelines for the Interpretation of Sequence Variants established by the American College of Medical Genetics and Genomics (ACMG) (hereinafter referred to as the " ACMG Guidelines). Relevant research literature on SHDRA in domestic and international databases were searched for literature review. This study was approved by the Affiliated Women and Children′s Hospital of Ningbo University (Ethics No. EC2023-094).Results:①In this family, prenatal ultrasound at 18 weeks of gestation revealed left renal multicystic dysplasia in the fetus. After birth, the infant exhibited an ostium secundum atrial septal defect, patent ductus arteriosus, and left renal multicystic dysplasia. Trio-WES revealed that the fetus had carried c. 344dup(p.L116Afs*32) and c. 90_104dup(p.Ala31_Ala35dup) compound heterozygous variants in the TMEM260 gene, which were respectively inherited from its father and mother. According to the ACMG guidelines, the c. 344dup(p.L116Afs*32) and c. 90_104dup (p.Ala31_Ala35dup) variants were classified as pathogenic (PM2_Supporting+ PVS1+ PP4) and likely pathogenic (PM2_Supporting+ PM4+ PM3+ PP4), respectively. ②According to the literature search strategy set for this study, a total of 6 literature was retrieved, involving 25 SHDRA patients from 20 families. Together with the patients in this study, there were 14 TMEM260 gene variants, most of which were frameshift variants (7 types) and had located in exons 3, 11 and 13. The main clinical features of SHDRA were congenital heart malformation, renal abnormality and neurodevelopmental abnormality, and there was a lack of genotype-phenotype correlation. Conclusion:The c. 344dup(p.L116Afs*32) and c. 90_104dup(p.Ala31_Ala35dup) variants of the TMEM260 gene probably underlay the SHDRA in this family. Above finding has provided a basis for clinical diagnosis and genetic counseling for the family.

Objective To explore the efficacy of Yishen Yangyin Gujing Prescription[derived from Zuogui Wan(Bolus for Replenishing Kidney-Yin)]for the treatment of diabetic nephropathy in type 2 diabetes mellitus(T2DM)with qi and yin deficiency syndrome,and to observe its effects on inflammatory responses,pancreatic β-cell function and renal function.Methods A total of 162 T2DM patients with diabetic nephropathy of qi and yin deficiency syndrome who admitted to the Affiliated Hospital of Shaanxi University of Chinese Medicine from May 2020 to July 2023 were randomly divided into an observation group and a control group according to the random number table method,with 81 cases in each group.The control group was given conventional western medicine treatment for lowering blood pressure and renal protection,while the observation group was treated with Yishen Yangyin Gujing Prescription on the basis of treatment for the control group.The course of treatment for the two groups covered 12 weeks.Before and after the treatment,the changes in the outcomes of the two groups were observed,and the outcomes included the total scores of traditional Chinese medicine(TCM)syndrome,insulin sensitivity index,insulin secretion index,24-h urine total protein quantification(24hUTP),and serum levels of glycosylated hemoglobin(HbA1c),fasting insulin(FINS),fasting blood glucose(FBG),serum creatinine(SCr),blood urea nitrogen(BUN),transforming growth factor β1(TGF-β1),NLRP3 inflammasome,interleukin 6(IL-6),superoxide dismutase(SOD)and sphingosine-1-phosphate(S1P).After treatment,the clinical efficacy of the two groups of patients was compared.Results(1)After 12-week treatment,the total effective rate of the observation group was 93.83%(76/81),and that of the control group was 83.95%(68/81).The intergroup comparison showed that the efficacy of the observation group was significantly superior to that of the control group(χ2=9.163,P<0.05).(2)After treatment,the insulin sensitivity index and insulin secretion index in the two groups of patients were increased(P<0.05)and the total scores of TCM syndromes were decreased(P<0.05)when compared with those before treatment,and the increase of insulin sensitivity index and insulin secretion index as well as the decrease of the total scores of TCM syndrome in the observation group was significantly superior to that in the control group(P<0.05).(3)After treatment,the serum levels of HbA1c,FINS,FBG,SCr,BUN and 24hUTP in the two groups of patients were decreased when compared with those before treatment(P<0.05),and the decrease of the above indicators in the observation group was significantly superior to that in the control group(P<0.05).(4)After treatment,the serum TGF-β1,IL-6,and NLRP3 inflammasome levels in the two groups of patients were decreased(P<0.05)and the serum S1P and SOD levels were increased(P<0.05)when compared with those before treatment,and the decrease of serum TGF-β1,IL-6,and NLRP3 inflammasome levels as well as the increase of serum S1P and SOD levels in the observation group was significantly superior to that in the control group(P<0.05).Conclusion For T2DM patients with diabetic nephropathy of qi and yin deficiency syndrome,the combined use of western medicine and Yishen Yangyin Gujing Prescription treatment is helpful to alleviate inflammatory response,improve the function of pancreatic β-cells,regulate the blood glucose level,improve renal function,and enhance the clinical efficacy.

OBJECTIVE: To explore the genetic characteristics of a fetus affected with Structural heart defects and renal anomalies syndrome (SHDRA). METHODS: A pedigree with SHDRA (fetus and the parents) who had visited the Affiliated Women and Children's Hospital of Ningbo University in April 2023 was selected as the study subject. Clinical data of the family were collected. A total of 10 mL of amniotic fluid cells from the fetus and 5 mL of peripheral blood samples from the parents were collected for genomic DNA extraction. Trio whole-exome sequencing (Trio-WES) was performed, and Sanger sequencing was used to validate candidate variants in the family. The identified variants were classified according to the Standards and Guidelines for the Interpretation of Sequence Variants established by the American College of Medical Genetics and Genomics (ACMG) (hereinafter referred to as the "ACMG Guidelines). Relevant research literature on SHDRA in domestic and international databases were searched for literature review. This study was approved by the Affiliated Women and Children's Hospital of Ningbo University (Ethics No. EC2023-094). RESULTS: In this family, prenatal ultrasound at 18 weeks of gestation revealed left renal multicystic dysplasia in the fetus. After birth, the infant exhibited an ostium secundum atrial septal defect, patent ductus arteriosus, and left renal multicystic dysplasia. Trio-WES revealed that the fetus had carried c.344dup (p.L116Afs*32) and c.90_104dup (p.Ala31_Ala35dup) compound heterozygous variants in the TMEM260 gene, which were respectively inherited from its father and mother. According to the ACMG guidelines, the c.344dup (p.L116Afs*32) and c.90_104dup (p.Ala31_Ala35dup) variants were classified as pathogenic (PM2_Supporting+PVS1+PP4) and likely pathogenic (PM2_Supporting+PM4+PM3+PP4), respectively. According to the literature search strategy set for this study, a total of 6 literature was retrieved, involving 25 SHDRA patients from 20 families. Together with the patients in this study, there were 14 TMEM260 gene variants, most of which were frameshift variants (7 types) and had located in exons 3, 11 and 13. The main clinical features of SHDRA were congenital heart malformation, renal abnormality and neurodevelopmental abnormality, and there was a lack of genotype-phenotype correlation. CONCLUSION The c.344dup (p.L116Afs*32) and c.90_104dup (p.Ala31_Ala35dup) variants of the TMEM260 gene probably underlay the SHDRA in this family. Above finding has provided a basis for clinical diagnosis and genetic counseling for the family.
Humans ; Female ; Pedigree ; Membrane Proteins/genetics* ; Male ; Heart Defects, Congenital/genetics* ; Kidney/abnormalities* ; Pregnancy ; Adult ; Kidney Diseases/congenital* ; Exome Sequencing ; Mutation ; Genetic Testing

Objective To investigate the correlation between myocardial fibrosis(MF)and left ventricular ejection fraction(LVEF)and myocardial injury markers in heart failure patients via cardiac magnetic resonance(CMR).Methods Seventy-six patients with heart failure were selected,including 32 cases of heart failure with preserved ejection fraction(HFpEF)(HFpEF group),15 cases of heart failure with mid-range ejection fraction(HFmEF)(HFmEF group),and 29 patients of heart failure with reduced ejection fraction(HFrEF)(HFrEF group).Additionally,7 healthy individuals undergoing physical examinations were included(control group).CMR parameters and biological markers for the heart failure groups were collected for all subjects.The differences in native T1 value and extracellular volume fraction(ECV)between the heart failure group and the control group were compared,respectively.The differences in native T1 value,ECV,late gadolinium enhancement(LGE)score,serum creatine kinase-MB(CK-MB),cardiac troponin Ⅰ knockdown(cTnI-KD),and N-terminal pro-brain natriuretic peptide(NT-proBNP)among heart failure subgroups were also compared,respectively.Spearman correlation analysis was used to examine the relationships between MF imaging indicators and LVEF,as well as NT-proBNP levels.Results The differences in native T1 value,ECV,LGE score,and NT-proBNP between the heart failure group and the control group,as well as between the heart failure subgroups were statistically significant(P＜0.05).The native T1 value,ECV,and LGE score in the heart failure group were positively correlated with NT-proBNP,and negatively correlated with LVEF.Conclusion The native T1 value,ECV value and LGE score are correlated with heart failure severity.CMR can detect myocardial injury early in patients with HFpEF and provide valuable information for risk stratification of MF.

Objective To investigate the correlation between myocardial fibrosis(MF)and left ventricular ejection fraction(LVEF)and myocardial injury markers in heart failure patients via cardiac magnetic resonance(CMR).Methods Seventy-six patients with heart failure were selected,including 32 cases of heart failure with preserved ejection fraction(HFpEF)(HFpEF group),15 cases of heart failure with mid-range ejection fraction(HFmEF)(HFmEF group),and 29 patients of heart failure with reduced ejection fraction(HFrEF)(HFrEF group).Additionally,7 healthy individuals undergoing physical examinations were included(control group).CMR parameters and biological markers for the heart failure groups were collected for all subjects.The differences in native T1 value and extracellular volume fraction(ECV)between the heart failure group and the control group were compared,respectively.The differences in native T1 value,ECV,late gadolinium enhancement(LGE)score,serum creatine kinase-MB(CK-MB),cardiac troponin Ⅰ knockdown(cTnI-KD),and N-terminal pro-brain natriuretic peptide(NT-proBNP)among heart failure subgroups were also compared,respectively.Spearman correlation analysis was used to examine the relationships between MF imaging indicators and LVEF,as well as NT-proBNP levels.Results The differences in native T1 value,ECV,LGE score,and NT-proBNP between the heart failure group and the control group,as well as between the heart failure subgroups were statistically significant(P＜0.05).The native T1 value,ECV,and LGE score in the heart failure group were positively correlated with NT-proBNP,and negatively correlated with LVEF.Conclusion The native T1 value,ECV value and LGE score are correlated with heart failure severity.CMR can detect myocardial injury early in patients with HFpEF and provide valuable information for risk stratification of MF.

Objective:To explore the genetic characteristics of a fetus affected with Structural heart defects and renal anomalies syndrome (SHDRA).Methods:A pedigree with SHDRA (fetus and the parents) who had visited the Affiliated Women and Children′s Hospital of Ningbo University in April 2023 was selected as the study subject. Clinical data of the family were collected. A total of 10 mL of amniotic fluid cells from the fetus and 5 mL of peripheral blood samples from the parents were collected for genomic DNA extraction. Trio whole-exome sequencing (Trio-WES) was performed, and Sanger sequencing was used to validate candidate variants in the family. The identified variants were classified according to the Standards and Guidelines for the Interpretation of Sequence Variants established by the American College of Medical Genetics and Genomics (ACMG) (hereinafter referred to as the " ACMG Guidelines). Relevant research literature on SHDRA in domestic and international databases were searched for literature review. This study was approved by the Affiliated Women and Children′s Hospital of Ningbo University (Ethics No. EC2023-094).Results:①In this family, prenatal ultrasound at 18 weeks of gestation revealed left renal multicystic dysplasia in the fetus. After birth, the infant exhibited an ostium secundum atrial septal defect, patent ductus arteriosus, and left renal multicystic dysplasia. Trio-WES revealed that the fetus had carried c. 344dup(p.L116Afs*32) and c. 90_104dup(p.Ala31_Ala35dup) compound heterozygous variants in the TMEM260 gene, which were respectively inherited from its father and mother. According to the ACMG guidelines, the c. 344dup(p.L116Afs*32) and c. 90_104dup (p.Ala31_Ala35dup) variants were classified as pathogenic (PM2_Supporting+ PVS1+ PP4) and likely pathogenic (PM2_Supporting+ PM4+ PM3+ PP4), respectively. ②According to the literature search strategy set for this study, a total of 6 literature was retrieved, involving 25 SHDRA patients from 20 families. Together with the patients in this study, there were 14 TMEM260 gene variants, most of which were frameshift variants (7 types) and had located in exons 3, 11 and 13. The main clinical features of SHDRA were congenital heart malformation, renal abnormality and neurodevelopmental abnormality, and there was a lack of genotype-phenotype correlation. Conclusion:The c. 344dup(p.L116Afs*32) and c. 90_104dup(p.Ala31_Ala35dup) variants of the TMEM260 gene probably underlay the SHDRA in this family. Above finding has provided a basis for clinical diagnosis and genetic counseling for the family.

Humans ; Aged ; Lung Diseases ; Pneumonia/drug therapy* ; Adrenal Cortex Hormones/therapeutic use* ; Pulmonary Disease, Chronic Obstructive/drug therapy* ; Administration, Inhalation ; Community-Acquired Infections/drug therapy*

Objective:To construct an early prediction model for post cardiopulmonary resuscitation-acute kidney injury (PCPR-AKI) by machine learning and provide a basis for early identification of acute kidney injury (AKI) high-risk patients and accurate treatment.Methods:It was a single-center retrospective study. The clinical data of patients admitted to Tianjin Medical University General Hospital after cardiopulmonary resuscitation following cardiac arrest from January 1, 2016 to October 31, 2023 were collected. The end-point event of the study was defined as AKI occurring within 48 hours after cardiopulmonary resuscitation. The patients were divided into AKI group and non-AKI group according to the AKI diagnostic criteria, and the differences of baseline clinical data between the two groups were compared. The patients who met the inclusion criteria were randomly (using the train_test_split function, set the random seeds to 1, 2, and 3) divided into training and validation sets at a ratio of 7∶3. Random forest (RF), support vector machine, decision tree, extreme gradient boosting and light gradient boosting machine algorithm were used to develop the early prediction model of PCPR-AKI. The receiver-operating characteristic curve and decision curve analysis were used to evaluate the performance and clinical practicality of the predictive models, and the importance of variables in the optimal model was screened and ranked.Results:A total of 547 patients were enrolled, with age of 66 (59, 70) years old and 282 males (51.6%). There were 238 patients (43.5%) having incidence of AKI within 48 hours after cardiopulmonary resuscitation. In the AKI group, 182 patients (76.5%) were in stage 1, 47 patients (19.7%) were in stage 2, and 9 patients (3.8%) were in stage 3. There were statistically significant differences in the age, time to reach resuscitation of spontaneous circulation, time from cardiac arrest to starting cardiopulmonary resuscitation, proportion of initial defibrillation rhythm, proportion of electric defibrillation, proportion of mechanical ventilation, adrenaline dosage, sodium bicarbonate dosage, proportion of coronary heart disease, proportion of hypertension, proportion of diabetes, serum creatinine, blood urea nitrogen, blood lactic acid, blood potassium, brain natriuretic peptide, troponin, D-dimer, neuron specific enolase, and 24 hours urine volume after cardiopulmonary resuscitation between AKI group and non-AKI group (all P<0.05). Among the five machine learning algorithms, RF model achieved the best performance and clinical practicality, with area under the curve of 0.875, sensitivity of 0.863, specificity of 0.956, and accuracy rate of 90.7%. In the variable importance ranking of RF model, the top 10 variables were as follows: time to reach resuscitation of spontaneous circulation, time from cardiac arrest to starting cardiopulmonary resuscitation, initial defibrillable rhythm, serum creatinine, mechanical ventilation, blood lactate acid, adrenaline dosage, brain natriuretic peptide, D-dimer and age. Conclusions:An early predictive model for PCPR-AKI is successfully constructed based on machine learning. RF model has the best predictive performance. According to the importance of the variables, it can provide clinical strategies for early identification and precise intervention for PCPR-AKI.