The acupoint name is a core term in traditional Chinese medicine and has its own mysterious and abstruse feature. Designated by the international organizations such as World Federation of Chinese Medicine Societies, World Health Organization, the phonetic translation method has been adopted for the standardization of acupuncture nomenclature. But this method neglects the cultural attributes of acupoint names. The liberal translation should be considered appropriately. English translation of acupoint name should be composed of two steps, intralingual translation (exegesis) and interlingual translation. During exegesis, the methods for discriminating phonetic loan character, selecting meanings and identifying character patterns should be sufficiently used. The interlingual translation is launched only after the fully understanding of acupoint names (based on intralingual translation).
Acupuncture Points ; Terminology as Topic ; Humans ; Translations ; Language ; Translating ; Medicine, Chinese Traditional

Objective:To summarize the clinical features, laboratory findings, treatment and prognosis of children confirmed as Mycoplasma pneumoniae-induced rash and mucositis (MIRM) in children. Methods:This retrospective study concluded 6 children diagnosed as MIRM in Department of Gastroenterology and Infectious Diseases, Shanghai Children′s Hospital, School of Medicine, Shanghai Jiao Tong University from August 2023 to April 2024. This paper described the characteristics of MIRM and analyzed the therapeutic strategy and prognosis.Results:A total of 6 children were diagnosed as MIRM including 2 boys and 4 girls with an age of onset was 6.4 (3.1, 7.5) years. Among the 6 patients, 4 patients had oral mucosal involvement among whom 2 showed crusting of the lips. Four patients had ocular involvement manifesting as conjunctival congestion and increased secretion. All patients presented with skin lesions, manifesting as target-shaped damage in 4 cases, herpes herpetiformis in 1 case and purpura-like rash in 1 case. Serological tests for Mycoplasma pneumoniae IgM and Mycoplasma pneumoniae nucleic acid test were positive in all 6 cases. Two cases received intravenous immunogloblin infusion combined with methylprednisolone, monotherapy of methylprednisolone in 4 cases. The course of glucocorticoids was 1-7 weeks, and the initial dose was 2-4 mg/(kg·d), which was gradually reduced according to the rash. The children were followed up for 3 to 9 months, no case suffered from long term ocular or cutaneous complications or recurrence of rash. All cases had good prognosis. Conclusions:Children diagnosed as MIRM present with mild symptoms and usually have good prognosis with early identification and appropriate intervention. Individualized therapy should be applied based on the severity of skin involvement.

Objective:To assess common errors in head and neck CT angiography (CTA) image reports using four types of large language models (LLM), namely GPT-4, DeepSeek, ERNIE Bot and SparkDesk, and to assess the feasibility of using existing LLMs to support quality control of radiology reports in Chinese.Methods:The study was a cross-sectional study. Totally 1 000 head and neck CTA image reports were randomly selected using the simple random sampling method from Xuanwu Hospital, Capital Medical University in 2023, including 500 primary reports and 500 finalized reports. Two radiologists collaboratively identified six types of errors in the reports: description errors, writing errors, left-right confusion errors, diagnostic omissions, logical sequence errors, and other errors. The overall quality of the reports was assessed using a 5-point Likert scale. Subsequently, GPT-4, DeepSeek, ERNIE Bot and SparkDesk models were employed to detect the same six types of errors in the imaging reports and to provide overall scoring. The results from manual review were considered the gold standard for calculating F1 score to evaluate model performance. Intra-class correlation coefficients ( ICC) were used to assess the consistency between manual scores and the overall scores from the four LLMs. Results:In the primary imaging reports, the proportions of manually detected errors were as follows: descriptive errors 2.6% (13/500), writing errors 0.6% (3/500), left-right confusion errors 0, diagnostic omissions 6.4% (32/500), logical sequence errors 5.2% (26/500), and other errors 0. In the finalized imaging reports, the proportions of errors across the six categories were 0.2% (1/500), 0, 0, 0, 0, and 0.2% (1/500), respectively. For error detection in the primary imaging reports, the F1 scores of GPT-4 for the six error types were 0.992, 0.997, 0.997, 0.967, 0.980, and 0.992, respectively. DeepSeek achieved F1 scores of 0.980, 0.955, 0.981, 0.920, 0.995, and 0.960; ERNIE Bot scored 0.982, 0.990, 1.000, 0.956, 0.976, and 0.999; and SparkDesk achieved 0.985, 0.995, 1.000, 0.961, 0.982, and 1.000. In the detection of errors in finalized imaging reports, GPT-4′s F1 scores were 0.994, 0.995, 0.998, 0.973, 0.989, and 0.993; DeepSeek scored 0.968, 0.965, 0.985, 0.971, 0.991, and 0.983; ERNIE Bot achieved 0.996, 0.992, 1.000, 0.983, 0.999, and 0.997; and SparkDesk achieved 0.999, 0.999, 1.000, 1.000, 1.000, and 0.999. The consistency between GPT-4, DeepSeek, and SparkDesk models and human ratings was moderate, with ICC values of 0.514, 0.560, and 0.515 respectively (all P0.001); in contrast, the overall score of ERNIE Bot showed poor consistency with human ratings, with an ICC of 0.221 ( P0.001). Conclusion:LLMs demonstrate high accuracy in detecting errors in head and neck CTA imaging reports. The overall scoring of report quality shows moderate consistency with manual assessments, indicating a certain feasibility for automated quality control in reporting.

Pharmacovigilance impact research(PIR),as an important application field of pharmacoepidemiology,has attracted continuous attention in recent years from drug regulatory authorities,pharmaceutical manufacturers,and the academic community both domestically and internationally.This paper provides an interpretation of PIR based on the Guide for Methodology in Pharmacoepidemiologic Research(2nd edition).First,an overview of the implications of PIR will be provided,focusing on the pathways of pharmacovigilance activities and the significant importance of conducting PIR.Second,it reviews commonly used study designs and presents illustrative case examples.Building on this,the specific statistical considerations relevant to PIR were discussed.Finally,the challenges and prospects of conducting pharmacovigilance impact studies in a scientific and standardized manner are summarized.Compared with the previous edition,the 2nd edition has expanded the application scenarios of pharmacoepidemiology to include new areas such as PIR.Drawing on the guideline content and practical experience,this paper provides a detailed introduction and case analysis of PIR,serving as a reference for researchers engaged in this field.

Pharmacovigilance impact research(PIR),as an important application field of pharmacoepidemiology,has attracted continuous attention in recent years from drug regulatory authorities,pharmaceutical manufacturers,and the academic community both domestically and internationally.This paper provides an interpretation of PIR based on the Guide for Methodology in Pharmacoepidemiologic Research(2nd edition).First,an overview of the implications of PIR will be provided,focusing on the pathways of pharmacovigilance activities and the significant importance of conducting PIR.Second,it reviews commonly used study designs and presents illustrative case examples.Building on this,the specific statistical considerations relevant to PIR were discussed.Finally,the challenges and prospects of conducting pharmacovigilance impact studies in a scientific and standardized manner are summarized.Compared with the previous edition,the 2nd edition has expanded the application scenarios of pharmacoepidemiology to include new areas such as PIR.Drawing on the guideline content and practical experience,this paper provides a detailed introduction and case analysis of PIR,serving as a reference for researchers engaged in this field.

Objective:To assess common errors in head and neck CT angiography (CTA) image reports using four types of large language models (LLM), namely GPT-4, DeepSeek, ERNIE Bot and SparkDesk, and to assess the feasibility of using existing LLMs to support quality control of radiology reports in Chinese.Methods:The study was a cross-sectional study. Totally 1 000 head and neck CTA image reports were randomly selected using the simple random sampling method from Xuanwu Hospital, Capital Medical University in 2023, including 500 primary reports and 500 finalized reports. Two radiologists collaboratively identified six types of errors in the reports: description errors, writing errors, left-right confusion errors, diagnostic omissions, logical sequence errors, and other errors. The overall quality of the reports was assessed using a 5-point Likert scale. Subsequently, GPT-4, DeepSeek, ERNIE Bot and SparkDesk models were employed to detect the same six types of errors in the imaging reports and to provide overall scoring. The results from manual review were considered the gold standard for calculating F1 score to evaluate model performance. Intra-class correlation coefficients ( ICC) were used to assess the consistency between manual scores and the overall scores from the four LLMs. Results:In the primary imaging reports, the proportions of manually detected errors were as follows: descriptive errors 2.6% (13/500), writing errors 0.6% (3/500), left-right confusion errors 0, diagnostic omissions 6.4% (32/500), logical sequence errors 5.2% (26/500), and other errors 0. In the finalized imaging reports, the proportions of errors across the six categories were 0.2% (1/500), 0, 0, 0, 0, and 0.2% (1/500), respectively. For error detection in the primary imaging reports, the F1 scores of GPT-4 for the six error types were 0.992, 0.997, 0.997, 0.967, 0.980, and 0.992, respectively. DeepSeek achieved F1 scores of 0.980, 0.955, 0.981, 0.920, 0.995, and 0.960; ERNIE Bot scored 0.982, 0.990, 1.000, 0.956, 0.976, and 0.999; and SparkDesk achieved 0.985, 0.995, 1.000, 0.961, 0.982, and 1.000. In the detection of errors in finalized imaging reports, GPT-4′s F1 scores were 0.994, 0.995, 0.998, 0.973, 0.989, and 0.993; DeepSeek scored 0.968, 0.965, 0.985, 0.971, 0.991, and 0.983; ERNIE Bot achieved 0.996, 0.992, 1.000, 0.983, 0.999, and 0.997; and SparkDesk achieved 0.999, 0.999, 1.000, 1.000, 1.000, and 0.999. The consistency between GPT-4, DeepSeek, and SparkDesk models and human ratings was moderate, with ICC values of 0.514, 0.560, and 0.515 respectively (all P0.001); in contrast, the overall score of ERNIE Bot showed poor consistency with human ratings, with an ICC of 0.221 ( P0.001). Conclusion:LLMs demonstrate high accuracy in detecting errors in head and neck CTA imaging reports. The overall scoring of report quality shows moderate consistency with manual assessments, indicating a certain feasibility for automated quality control in reporting.

Objective:To summarize the clinical features, laboratory findings, treatment and prognosis of children confirmed as Mycoplasma pneumoniae-induced rash and mucositis (MIRM) in children. Methods:This retrospective study concluded 6 children diagnosed as MIRM in Department of Gastroenterology and Infectious Diseases, Shanghai Children′s Hospital, School of Medicine, Shanghai Jiao Tong University from August 2023 to April 2024. This paper described the characteristics of MIRM and analyzed the therapeutic strategy and prognosis.Results:A total of 6 children were diagnosed as MIRM including 2 boys and 4 girls with an age of onset was 6.4 (3.1, 7.5) years. Among the 6 patients, 4 patients had oral mucosal involvement among whom 2 showed crusting of the lips. Four patients had ocular involvement manifesting as conjunctival congestion and increased secretion. All patients presented with skin lesions, manifesting as target-shaped damage in 4 cases, herpes herpetiformis in 1 case and purpura-like rash in 1 case. Serological tests for Mycoplasma pneumoniae IgM and Mycoplasma pneumoniae nucleic acid test were positive in all 6 cases. Two cases received intravenous immunogloblin infusion combined with methylprednisolone, monotherapy of methylprednisolone in 4 cases. The course of glucocorticoids was 1-7 weeks, and the initial dose was 2-4 mg/(kg·d), which was gradually reduced according to the rash. The children were followed up for 3 to 9 months, no case suffered from long term ocular or cutaneous complications or recurrence of rash. All cases had good prognosis. Conclusions:Children diagnosed as MIRM present with mild symptoms and usually have good prognosis with early identification and appropriate intervention. Individualized therapy should be applied based on the severity of skin involvement.

Objective To investigate the effects of puerarin on myocardial ischemia-reperfusion injury and its mecha-nism.Methods Molecular docking and dynamics simulation were utilized to predict the binding potential of puerarin and SIRT1.A myocardial ischemia-reperfusion model was established in SD rats by ligating the anterior descending branch of the left coronary artery.The protective effect of puerarin on myocardial injury was observed,and the therapeutic effect of puerarin was compared after inhibition of SIRT1 expression.The infarct volume was detected using 2,3,5-triphenyltetrazolium chloride(TTC)staining.The apoptosis rate and SIRT1 expression of cardiomyocytes were detected by using TUNEL combined with im-munofluorescence.Transmission electron microscope was used to observe the myocardial ultrastructure.Western blot was per-formed to detect the expression of ferroptosis-related proteins.Results Molecular docking studies confirmed the formation of stable complexes between puerarin and SIRT1.Puerarin treatment significantly increased myocardial ischemia-reperfusion injury through upregulation of SIRT1,SLC7A11 and GPX4 expression,and downregulation of IREB2 expression in rats.The protec-tive effect of puerarin on myocardium was abolished once SIRT1 protein expression was inhibited.Conclusion Molecular doc-king and molecular dynamics simulation techniques can accurately predict the interaction of puerarin,and the main target SIRT1.Puerarin inhibits ferroptosis by activating SIRT1 pathway,thereby alleviating myocardial ischemia-reperfusion injury.

ObjectiveTo study the effect of Tanreqing injection （TRQ） on the pulmonary flora in the rat model of chronic obstructive pulmonary disease （COPD）. MethodWistar rats were randomized into control， model， and TRQ groups. The rats in other groups except the control group were treated by smoking combined with intratracheal instillation of lipopolysaccharide for the modeling of COPD. The TRQ group was intraperitoneally injected with TRQ （2 g·kg^-1）. At the end of the experiment， after blood collection from the abdominal aorta of the rats， the lung tissue was collected for hematoxylin-eosin and picric sirius red staining to reveal the pathological changes. The lung lavage fluid was collected， and the diversity and relative abundance of lung flora in different groups were analyzed by 16S rDNA amplicon sequencing. ResultThe lungs of the control group were normal， and those of the model group showed neutrophil infiltration， telangiectasia， lung hemorrhage and emphysema in individual cases， and thickening of collagen fibers in the trachea. Compared with the model group， the TRQ group showed significantly improved lungs and recovered collagen fibers. The MLI analysis showed that compared with the control group， the model group showcased increased alveolar space （P<0.01）， which was reduced in the TRQ group （P<0.05）. Compared with the control group， the model group showed increased wall thickness （P<0.01）， and the increase was attenuated in the TRQ group （P<0.01）. TRQ increased the Simpson index and altered the α diversity of pulmonary flora. The results of principal co-ordinate analysis showed that TRQ changed the β diversity and reduced the β diversity index of pulmonary flora. At the genus level， the model group showed increased relative abundance of g_Bacillus and g_Brevundimonas and decreased relative abundance of g_Pseudomonas， compared with the control group. After treatment with TRQ， the relative abundance of g_Stenotrophomonas increased， and that of g_Bacillus decreased. The LEfSe of differential taxa between groups showed that the modeling increased the relative abundance of g_Lachnospiraceae_NK4A136_group， and TRQ treatment increased the relative abundance of g_Rhodococcus and g_Stenotrophomonas. ConclusionTRQ can regulate the diversity of pulmonary flora and restore the balance of bacterial genera in the rat model of COPD， which may be one of the mechanisms of the prevention and treatment of COPD with TRQ.

Objective:To evaluate the efficacy and prognostic factors of allogeneic hematopoietic stem cell transplantation (allo-HSCT) in patients with secondary acute myeloid leukemia (sAML) .Methods:In this multicenter, retrospective clinical study, adult patients aged ≥18 years who underwent allo-HSCT for sAML at four centers of the Zhejiang Hematopoietic Stem Cell Transplantation Collaborative Group from January 2014 to November 2022 were included, and the efficacy and prognostic factors of allo-HSCT were analyzed.Results:A total of 95 patients were enrolled; 66 (69.5%) had myelodysplastic syndrome-acute myeloid leukemia (MDS-AML) , 4 (4.2%) had MDS/MPN-AML, and 25 (26.3%) had therapy-related AML (tAML) . The 3-year CIR, LFS, and overall survival (OS) rates were 18.6% (95% CI 10.2%-27.0%) , 70.6% (95% CI 60.8%-80.4%) , and 73.3% (95% CI 63.9%-82.7%) , respectively. The 3-year CIRs of the M-AML group (including MDS-AML and MDS/MPN-AML) and the tAML group were 20.0% and 16.4%, respectively ( P=0.430) . The 3-year LFSs were 68.3% and 75.4%, respectively ( P=0.176) . The 3-year OS rates were 69.7% and 75.4%, respectively ( P=0.233) . The 3-year CIRs of the groups with and without TP53 mutations were 60.0% and 13.7%, respectively ( P=0.003) ; the 3-year LFSs were 20.0% and 76.5%, respectively ( P=0.002) ; and the 3-year OS rates were 40.0% and 77.6%, respectively ( P=0.002) . According to European LeukmiaNet 2022 (ELN2022) risk stratification, the 3-year CIRs of patients in the low-, intermediate-, and high-risk groups were 8.3%, 17.8%, and 22.6%, respectively ( P=0.639) . The three-year LFSs were 91.7%, 69.5%, and 65.6%, respectively ( P=0.268) . The 3-year OS rates were 91.7%, 71.4%, and 70.1%, respectively ( P=0.314) . Multivariate analysis revealed that advanced disease at allo-HSCT and TP53 mutations were independent risk factors for CIR, LFS, and OS. Conclusion:There was no significant difference in the prognosis of patients who underwent allo-HSCT among the MDS-AML, MDS/MPN-AML, and tAML groups. Advanced disease at transplantation and TP53 mutations were poor prognostic factors. ELN2022 risk stratification had limited value for predicting the prognosis of patients with sAML following allo-HSCT.