Objective: To summarize the laboratory findings of a case of hemolytic disease of the fetus and newborn (HDFN) caused by Rh system anti-c antibodies and to review the literature, so as to explore the characteristics of anti-c HDFN. Methods: The ABO blood type, Rh blood type, direct antiglobulin test (DAT) results, and the presence of unexpected antibodies and their titers were determined by serological methods. The cases of anti-c HDFN in our laboratory in China and abroad were statistically analyzed, and the incidence of severe HDFN caused by anti-c, anti-D and anti-E was compared. Results: The blood type of the child was B (Rh CcDee) with a positive DAT. Anti-c antibody was detected in both serum and eluate, with a serum antibody titer of 4. The mother’s blood type was AB (Rh CCDee) with a negative DAT, and anti-c antibody was detected in the serum with a titer of 128. Among 20 cases of anti-c HDFN, 17 were DAT positive, and 9 (45%, 9/20) underwent blood transfusion or exchange transfusion. The incidence of severe HDFN was 47.60% (10/21) for anti-c, 47.60% (10/21) for anti-D and 31.30% (5/16) for anti-E. Conclusion: Maternal pregnancy and/or blood transfusion are the main reasons for the production of Rh alloantibodies such as anti-c. The prevention and management of anti-c should be similar to that of anti-D. Rh antigen-matched (five antigens of Rh blood group) transfusion is necessary for women of childbearing age to avoid antibody production, and Rh typing and antibody screening during prenatal examination is recommended to ensure early detection, intervention and treatment.

Objective To investigate the safety and efficacy of hepatic arterial infusion chemotherapy(HAIC)using lenvatinib plus immune checkpoint inhibitors(ICI)in the treatment of progressive advanced hepatocellular carcinoma(HCC).Methods The clinical data of 67 patients with HCC of BCLC stage C,who received HAIC treatment at the Guangdong Provincial Hospital of Traditional Chinese Medicine of China from May 2018 to March 2022 and were assessed as in disease progression(PD)status after HAIC treatment,then had to further receive second-line treatment with lenvatinib plus ICI regimen.According to modified Response Evaluation Criteria in Solid Tumors(mRECIST),the tumor responses,including overall survival(OS),progression free survival(PFS),objective response rate(ORR),and disease control rate(DCR),were evaluated.Univariate analysis and multivariate analysis based on the COX proportional hazards regression model were used to determine the prognosis-related risk factors.According to the Common Terminology Criteria for Adverse Events version 5.0(CTCAE 5.0),the treatment-related adverse effects were recorded and evaluated.Results The median OS and median PFS in the 67 patients with HCC of BCLC stage C receiving second-line treatment with lenvatinib plus ICI regimen,who were evaluated as in PD status after first-line HAIC treatment,were 18.4 months and 7.2 months respectively.The ORR and DCR were 22.4％(15/67)and 67.4％(45/67)respectively.Univariate analysis and multivariate analysis showed that Eastern Cooperative oncology Group(ECOG)score and hepatitis B virus(HBV)infection were the independent risk factors affecting OS,while AFP level was an independent risk factor affecting PFS.The main treatment-related adverse reactions included elevation of transaminase level,hypertension,and hyperbilirubinemia.No death occurred during the therapeutic course.Conclusion For patients with HCC of BCLC stage C,who become in PD status after first-line HAIC treatment,second-line treatment with lenvatinib plus ICI regimen carries satisfactory efficacy and its adverse reaction is tolerable.

Objective To discuss the safety and efficacy of hepatic arterial infusion chemotherapy(HAIC)combined with apatinib and carizolizumab in the treatment of hepatocellular carcinoma(HCC)with major portal vein tumor thrombosis(Vp4).Methods The clinical data of patients with HCC complicated by Vp4 from three certain Grade Ⅲ medical centers,who received HAIC combined with apatinib and carizolizumab(triple treatment group)or received HAIC alone(simple HAIC group)from July 2018 to December 2023,were retrospectively collected.Propensity score matching(PSM)was used to balance the general differences between groups,and the pre-PSM and post-PSM overall survival time(OS),progression-free survival time(PFS),and tumor response rate were compared between the two groups.Based on COX proportional hazards regression model the survival-related risk factors were identified.The clinical safety was evaluated by comparing the incidence of adverse reactions between different therapeutic regimens.Results In the overall cohort,the median OS and median PFS in the triple treatment group were 16.4 months and 9.1 months respectively,which in the simple HAIC group were 6.9 months and 4.2 months respectively(both P＜0.001).In the triple treatment group and the simple HAIC group,the objective response rate(ORR)was 41.2％and 15.2％respectively(P＜0.001),and the disease control rate(DCR)was 77.9％and 68.5％respectively(P=0.185).In the PSM cohort,the median OS and median PFS in the triple treatment group were 16.4 months and 9.1 months respectively,which were significantly longer than 7.4 months and 3.7 months respectively in the simple HAIC group.In the triple treatment group and the simple HAIC group,the ORR was 39.5％and 11.6％respectively(P=0.003),and the DCR was 81.4％and 62.8％respectively(P=0.054).Univariate and multivariate analyses showed that HAIC combined with apatinib and carizolizumab treatment was an independent factor influencing both OS and PFS.No statistically significant difference in the incidence of adverse reactions of all levels existed between the two groups,although the incidence of some adverse reactions in triple therapy group was higher than that in the simple HAIC group.Conclusion Compared with pure HAIC therapy,HAIC combined with apatinib and carizolizumab has better survival benefits and tumor response rate,it is clinically safe and effective,besides,the patients can well tolerate this treatment.Therefore,HAIC combined with apatinib and carizolizumab is a promising treatment option for patients with HCC complicated by Vp4.

Objective:To provide reference for the correct understanding and accurate implementation of the general chapters of physical and chemical analysis in the Chinese Pharmacopoeia 2025 Edition Volume Ⅳ.Methods:Intro-duce the main characteristics and content of the additions and revisions of the general chapters of physical and chemical analysis in the Chinese Pharmacopoeia 2025 Edition Volume Ⅳ.Results:The general chapters of physi-cal and chemical analysis in the Chinese Pharmacopoeia 2025 Edition are more harmonized with the relevant guide-lines of the ICH Q series,and the inclusion of advanced and mature instrument analysis technology standards and analysis method standards related to drug safety,efficacy,and quality controllability is further increased.Conclusion:The general chapters of physical and chemical analysis in the Chinese Pharmacopoeia 2025 Edition have provided a more convenient new bridge for China's drugs to go international,standardized testing technology support for achieving full process quality control,and better meet the needs of drug research and development,production,quality control,and supervision in China.

Objective: To provide reference for the correct understanding and accurate implementation of the general chapters of physical and chemical analysis in the Chinese Pharmacopoeia 2025 Edition Volume Ⅳ.
Methods: Introduce the main characteristics and content of the additions and revisions of the general chapters of physical and chemical analysis in the Chinese Pharmacopoeia 2025 Edition Volume Ⅳ.
Results: The general chapters of physical and chemical analysis in the Chinese Pharmacopoeia 2025 Edition are more harmonized with the relevant guidelines of the ICH Q series, and the inclusion of advanced and mature instrument analysis technology standards and analysis method standards related to drug safety, efficacy, and quality controllability is further increased.
Conclusion: The general chapters of physical and chemical analysis in the Chinese Pharmacopoeia 2025 Edition have provided a more convenient new bridge for China’s drugs to go international, standardized testing technology support for achieving full process quality control, and better meet the needs of drug research and development, production, quality control, and supervision in China.

Objective To investigate the clinical value of uric acid(UA)to albumin(Alb)ratio(UAR)in predicting the prognosis of the patients with heart failure.Methods A total of 1 893 patients with heart failure and complete clinical data in the Chinese Heart Failure Database were selected as the clinical research subjects for conducting the retrospective cohort analysis.The general clinical data,coagulation routine,tropo-nin Ⅰ(cTnⅠ),cardiac enzyme profile,liver function,B-type brain natriuretic peptide(BNP),uric acid(UA)and left ventricular ejection fraction in echocardiography in the study subjects were collected to calculate UAR.Ac-cording to the receiver operating characteristic(ROC)curve,the optimal cut-off value of UAR was selected as 17.48.Then the subjects were divided into the low UAR group(UAR＜17.48,n=1 525)and high UAR group(UAR≥17.48,n=368).The clinical data were compared between the two groups,and the effect of UAR on the all-cause mortality in the patients with heart failure was evaluated by the binary logistic regres-sion analysis.Results The follow up time in the patients was 90 d,and 37 cases(2.0％)of all-cause death oc-curred during the follow up period.The proportion of males,proportion of cardiac function grade Ⅳ,propor-tion of myocardial infarction,levels of uric acid,D-dimer,creatine kinase(CK),creatine kinase isoenzyme(CK-MB),lactate dehydrogenase(LDH),alanine aminotransferase(ALT),glutamyl transpeptidase(GGT),alkaline phosphatase(AKP)and BNP in the high UAR group were higher than those in the low UAR group,while the pulse,systolic pressure,diastolic pressure,proportions of heart function grade Ⅱ and grade Ⅲ and ALB level were lower than those in the UAR group,and the differences were statistically significant(P＜0.05).The ROC curve analysis results showed that the area under the curve of UAR for assessing the all-cause death occurrence in heart failure was 0.715(95％CI:0.626-0.804,P＜0.001),the sensitivity was 56.8％and the specificity was 81.4％;the binary logistic regression analysis results showed that the incidence rate of all-cause mortality in the high UAR group was 1.09 times higher than that in the low UAR group(OR=1.09,95％CI:1.02-1.20,P=0.017).Conclusion UAR could serve as an independent predictive fac-tor of all-cause death occurrence in heart failure,which needs clinic to pay attention.

Objective:To explore the current situation of synergistic allocation of factors of production in China's medical research institutes,sort out the focuses and deficiencies of the existing policies,so as to provide references for the optimization of production factor and the new quality productivity formation in medical institutions.Methods:Based on the two-factor productivity theory,the index evaluation system is constructed,and the composite system synergy model is used to analyze the degree of order of production factors and the degree of synergy of the composite system,and explore the change of synergy degree of each sequential covariate;and the macro model of the health system is used in conjunction with the content analysis method to carry out the frequency counting of the policies to promote the enhancement of the capacity of each production factor of the main body of innovation of the medical scientific research institutes.Results:The synergistic degree of the production factors and the composite system of medical research institutions showed a non-synergistic development trend,with the worst synergistic level in 2021;number of personnel,number of institutions,building floor space,production factors and sequential coefficients were weakly synergized and in a state of non-synergistic development.Among the 43 policy texts,the internal submodular policy tools were used more,the external submodular policy tools were used less,and the use of internal and external policy tools is unbalanced.Conclusion:The number of personnel,institutions and building area of medical research institutions are constraints on the synergistic development of innovative entities.It is recommended to increase the training of innovative talents in medical research institutions,improve the construction of new institutions,coordinate the layout of large scientific devices and functional housing,introduce targeted systematic planning,improve the market of factors of production,and consolidate the technological foundation for future development.

Objective:To explore the current situation of synergistic allocation of factors of production in China's medical research institutes,sort out the focuses and deficiencies of the existing policies,so as to provide references for the optimization of production factor and the new quality productivity formation in medical institutions.Methods:Based on the two-factor productivity theory,the index evaluation system is constructed,and the composite system synergy model is used to analyze the degree of order of production factors and the degree of synergy of the composite system,and explore the change of synergy degree of each sequential covariate;and the macro model of the health system is used in conjunction with the content analysis method to carry out the frequency counting of the policies to promote the enhancement of the capacity of each production factor of the main body of innovation of the medical scientific research institutes.Results:The synergistic degree of the production factors and the composite system of medical research institutions showed a non-synergistic development trend,with the worst synergistic level in 2021;number of personnel,number of institutions,building floor space,production factors and sequential coefficients were weakly synergized and in a state of non-synergistic development.Among the 43 policy texts,the internal submodular policy tools were used more,the external submodular policy tools were used less,and the use of internal and external policy tools is unbalanced.Conclusion:The number of personnel,institutions and building area of medical research institutions are constraints on the synergistic development of innovative entities.It is recommended to increase the training of innovative talents in medical research institutions,improve the construction of new institutions,coordinate the layout of large scientific devices and functional housing,introduce targeted systematic planning,improve the market of factors of production,and consolidate the technological foundation for future development.

Objective:To explore the current situation of synergistic allocation of factors of production in China's medical research institutes,sort out the focuses and deficiencies of the existing policies,so as to provide references for the optimization of production factor and the new quality productivity formation in medical institutions.Methods:Based on the two-factor productivity theory,the index evaluation system is constructed,and the composite system synergy model is used to analyze the degree of order of production factors and the degree of synergy of the composite system,and explore the change of synergy degree of each sequential covariate;and the macro model of the health system is used in conjunction with the content analysis method to carry out the frequency counting of the policies to promote the enhancement of the capacity of each production factor of the main body of innovation of the medical scientific research institutes.Results:The synergistic degree of the production factors and the composite system of medical research institutions showed a non-synergistic development trend,with the worst synergistic level in 2021;number of personnel,number of institutions,building floor space,production factors and sequential coefficients were weakly synergized and in a state of non-synergistic development.Among the 43 policy texts,the internal submodular policy tools were used more,the external submodular policy tools were used less,and the use of internal and external policy tools is unbalanced.Conclusion:The number of personnel,institutions and building area of medical research institutions are constraints on the synergistic development of innovative entities.It is recommended to increase the training of innovative talents in medical research institutions,improve the construction of new institutions,coordinate the layout of large scientific devices and functional housing,introduce targeted systematic planning,improve the market of factors of production,and consolidate the technological foundation for future development.

Objective:To explore the current situation of synergistic allocation of factors of production in China's medical research institutes,sort out the focuses and deficiencies of the existing policies,so as to provide references for the optimization of production factor and the new quality productivity formation in medical institutions.Methods:Based on the two-factor productivity theory,the index evaluation system is constructed,and the composite system synergy model is used to analyze the degree of order of production factors and the degree of synergy of the composite system,and explore the change of synergy degree of each sequential covariate;and the macro model of the health system is used in conjunction with the content analysis method to carry out the frequency counting of the policies to promote the enhancement of the capacity of each production factor of the main body of innovation of the medical scientific research institutes.Results:The synergistic degree of the production factors and the composite system of medical research institutions showed a non-synergistic development trend,with the worst synergistic level in 2021;number of personnel,number of institutions,building floor space,production factors and sequential coefficients were weakly synergized and in a state of non-synergistic development.Among the 43 policy texts,the internal submodular policy tools were used more,the external submodular policy tools were used less,and the use of internal and external policy tools is unbalanced.Conclusion:The number of personnel,institutions and building area of medical research institutions are constraints on the synergistic development of innovative entities.It is recommended to increase the training of innovative talents in medical research institutions,improve the construction of new institutions,coordinate the layout of large scientific devices and functional housing,introduce targeted systematic planning,improve the market of factors of production,and consolidate the technological foundation for future development.