ObjectiveTo address the challenges of unstructured classical Chinese expressions， nested entity relationships， and limited annotated data in famous traditional Chinese medicine（TCM） case records， this study proposes a joint relation extraction framework that integrates data augmentation and entity mapping， aiming to support the construction of TCM diagnostic knowledge graphs and clinical pattern mining. MethodsWe developed an annotation structure for entities and their relationships in TCM case texts and applied a data augmentation strategy by incorporating multiple ancient texts to expand the relation extraction dataset. A cascade binary tagging framework for relation triple extraction（CasRel） model for TCM semantics was designed， integrating a pre-trained bidirectional encoder representations from transformers（BERT） layer for classical TCM texts to enhance semantic representation， and using a head entity-relation-tail entity mapping mechanism to address entity nesting and relation overlapping issues. ResultsExperimental results showed that the CasRel model， combining data augmentation and entity mapping， outperformed the pipeline-based Bert-Radical-Lexicon（BRL）-bidirectional long short-term memory（BiLSTM）-Attention model. The overall precision， recall， and F₁-score across 12 relation types reached 65.73%， 64.03%， and 64.87%， which represent improvements of 14.26%， 7.98%， and 11.21% compared to the BRL-BiLSTM-Attention model， respectively. Notably， the F₁-score for tongue syndrome relations increased by 22.68%（69.32%）， and the prescription-syndrome relations performed the best with the F₁-score of 70.10%. ConclusionThe proposed framework significantly improves the semantic representation and complex dependencies in TCM texts， offering a reusable technical framework for structured mining of TCM case records. The constructed knowledge graph can support clinical syndrome differentiation， prescription optimization， and drug compatibility， providing a methodological reference for TCM artificial intelligence research.

ObjectiveTo evaluate the clinical efficacy of Huayu Tongluo Formula （化瘀通络方， HTF） in patients with mid-stage diabetic kidney disease of blood stasis syndrome and explore its potential mechanisms. MethodsA multi-center， randomized， double-blind， placebo-controlled clinical trial was conducted. Ninety patients of mid-stage diabetic kidney disease of blood stasis syndrome were divided into a control group of 46 cases and a treatment group of 44 cases. Both groups received conventional western medicine treatment， the treatment group additionally taking HTF， while the control group taking a placebo of the formula. The treatment was administered once daily for 24 weeks. The primary outcomes included 24-hour urine total protein （24 h-UTP）， serum albumin （Alb）， glycated hemoglobin （HbA1c）， and serum creatinine （Scr）.The secondary outcomes included changes in levels of endothelin-1 （ET-1）， nitric oxide （NO）， vascular endothelial growth factor （VEGF）， and traditional Chinese medicine （TCM） syndrome scores before and after treatment. Clinical efficacy was evaluated based on TCM syndrome scores and overall disease outcomes. Adverse reactions and endpoint events were recorded. ResultsIn the treatment group after treatment， 24 h-UTP， ET-1， and VEGF levels significantly decreased （P＜0.05）， Alb and NO levels significantly increased （P＜0.05）； while the TCM syndrome scores for edema， lumbar pain， numbness of limbs， dark purple lips， dark purple tongue or purpura， and thin， rough pulse all significantly decreased （P＜0.05）. In the control group， no significant changes were observed in any of the indicators after treatment （P＞0.05）.Compared with the control group， the treatment group showed significant reductions in 24 h-UTP， ET-1， and VEGF levels， and increases in Alb and NO levels （P＜0.05）. The TCM syndrome scores for edema， lumbar pain， dark purple tongue or purpura， and thin， rough pulse were all lower in the treatment group than in the control group （P＜0.05）. The total effective rate of TCM syndrome in the treatment group was 59.09% （26/44）， and the overall clinical effective rate was 45.45% （20/44）. In the control group， these rates were 15.22% （7/46） and 8.7% （4/46）， respectively， with the treatment group showing significantly better outcomes （P＜0.05）. A total of 7 adverse events occurred across both groups， with no significant difference （P＞0.05）. No endpoint events occurred during the study. ConclusionOn the basis of conventional treatment of Western medicine， HTF can further reduce urinary protein levels and improve clinical symptoms in patients with mid-stage diabetic kidney disease of blood stasis syndrome. The mechanism may be related to its effects on endothelial function.

A good talent cultivation model is inseparable from scientific talent classification and evaluation methods.This article depends on the actual needs of talent cultivation in public hospitals and leverages"Internet+"technology and other smart hospital management means.It builds a talent classification and evaluation framework system based on the smart hospital plat-form,achieving scientific,quantifiable,and visual management of health professionals and technicians.This approach is of great research significant value for stimulating the work enthusiasm and creativity of talents,promoting the construction of talent teams and disciplines,and reforming the hospital personnel allocation system.This framework also has great practical significance for further improving the comprehensive management level and competitiveness of hospitals.

Objective To investigate the prevalence and molecular characteristics of Anaplasma infections in sheep and goats in Anhui Province in 2020, so as to provide insights into ovine anaplasmosis prevention and control. Methods A total of 355 fresh blood samples were collected from 7 sheep and goat farms in Linquan County of Fuyang City, Lixin County of Bozhou City, Yu'an District of Lu'an City, Wangjiang County of Anqing City, Nanling County of Wuhu City, and Tianchang City and Fengyang County of Chuzhou City in Anhui Province from June to December 2020. A. bovis and A. phagocytophilum 16S ribosomal RNA (16S rRNA) gene, A. ovis major surface protein 4 (MSP4) gene and A. capra citric acid synthase (gltA) gene were amplified using PCR assay in all blood samples, and the prevalence of A. bovis, A. phagocytophilum, A. ovis and A. capra infections was calculated in sheep and goats. In addition, the positive amplification products were sequenced and subjected to genetic evolutionary analysis. Results The overall prevalence of Anaplasma infections was 17.5% (62/355) in sheep and goats in Anhui Province, and the prevalence of A. bovis, A. phagocytophilum, A. ovis and A. capra infections was 2.8% (10/355), 2.5% (9/355), 2.5% (9/355), and 7.0% (25/355), while the prevalence of A. bovis and A. phagocytophilum, A. phagocytophilum and A. ovis, A. phagocytophilum and A. capra and A. bovis, A. phagocytophilum and A. ovis co-infections was 0.8% (3/355), 1.1% (4/355), 0.3% (1/355) and 0.3% (1/355), respectively. No Anaplasma was detected in the sheep and goat farms in Fengyang County, while at least three Anaplasma species were detected in other sheep and goat farms, with co-infections of multiple Anaplasma species identified. The prevalence of Anaplasma infections was 14.7% (24/163) in goats and 19.8% (38/192) in sheep, and the prevalence of Anaplasma infections was 31.0% (31/100) in goats and sheep under 6 months of age, and 12.2% (31/255) in goats and sheep at ages of 6 months and older, respectively. A. bovis, A. phagocytophilum, A. ovis and A. capra were identified in sheep and goats of different breeds and ages. Conclusions Multiple Anaplasma species infections were commonly prevalent in goats and sheep in Anhui Province in 2020, notably A. phagocytophilum, A. ovis and A. capra, which have zoonotic risks. Improved surveillance and prevention and control of Anaplasma infections are required in sheep and goats in Anhui Province.

Background: and Purpose X-linked Charcot-Marie-Tooth disease type 1 (CMTX1) is characterized by peripheral neuropathy with or without episodic neurological dysfunction. We performed clinical, neuropathological, and genetic investigations of a series of patients with mutations of the gap-junction beta-1 gene (GJB1) to extend the phenotypic and genetic description of CMTX1. Methods: Detailed clinical evaluations, sural nerve biopsy, and genetic analysis were applied to patients with CMTX1. Results: We collected 27 patients with CMTX1 with GJB1 mutations from 14 unrelated families. The age at onset (AAO) was 20.9±12.2 years (mean±standard deviation; range, 2–45 years). Walking difficulties, weakness in the legs, and pes cavus were common initial symptoms. Compared with female patients, males tended to have a younger AAO (males vs. females=15.4±9.6 vs. 32.0±8.8 years, p=0.002), a longer disease course (16.8±16.1 vs. 5.5±3.8 years, p=0.034), and more-severe electrophysiological results. Besides peripheral neuropathy, six of the patients had special episodic central nervous system (CNS) evidence from symptoms, signs, and/or reversible white-matter lesions. Neuropathology revealed the loss of large myelinated fibers, increased number of regenerated axon clusters with abnormally thin myelin sheaths, and excessively folded myelin. Genetic analysis identified 14 GJB1 variants, 6 of which were novel. Conclusions These findings expand the phenotypic and genetic spectrum of CMTX1. Although CMTX1 was found to have high phenotypic and CNS involvement variabilities, detailed neurological examinations and nerve conduction studies will provide critical clues for accurate diagnoses. Further exploration of the underlying mechanisms of connexin 32 involvement in neuropathy or CNS dysfunction is warranted to develop promising therapies.

Objective To evaluate the effect of different techniques of hepatic artery reconstruction on postoperative hepatic artery complications and clinical prognosis in liver transplantation. Methods Clinical data of 140 liver transplant recipients were retrospectively analyzed. All recipients were divided into the conventional hepatic artery reconstruction group (n=123) and special hepatic artery reconstruction group (n=17) according to hepatic artery reconstruction methods. Intraoperative and postoperative clinical indexes, the incidence of postoperative hepatic artery complications and survival rate were compared between two groups. Results The alanine aminotransferase (ALT) and aspartate aminotransferase (AST) levels at postoperative 1 d, total bilirubin (TB) at postoperative 7 d and prothrombin time international normalized ratio (PT-INR) at postoperative 30 d in special hepatic artery reconstruction group were higher than those in conventional hepatic artery reconstruction group, and the differences were statistically significant (all P < 0.05). There were no significant differences in the operation time, anhepatic phase, intraoperative blood loss, intraoperative transfusion volume of red blood cells, cold or warm ischemia time, the length of intensive care unit (ICU) stay, the length of hospital stay and postoperative blood flow of liver allograft between two groups (all P > 0.05). In the conventional hepatic artery reconstruction group, 5 recipients developed hepatic artery complications, whereas no hepatic artery complications occurred in the special hepatic artery reconstruction group, with no significant difference between two groups (P > 0.05). In the special hepatic artery reconstruction group, the 1-, 3- and 5-year cumulative survival rates were equally 82.4%, compared with 85.0%, 78.9% and 75.6% in the conventional hepatic artery reconstruction group, respectively. There was no significant difference between two groups (all P > 0.05). Conclusions When hepatic artery variations and (or) lesions are detected in donors and recipients, use of special hepatic artery reconstruction may effectively restore the hepatic arterial blood flow of liver allograft after liver transplantation, and will not affect the incidence of hepatic artery complications and survival rate of the recipients following liver transplantation.

Objective To investigate the correlation of serum irisin level with insulin resistance and left ventricular remodeling after PCI in patients with ST-segment elevation myocardial infarction(STEMI)without diabetes.Methods A total of 485 STEMI patients without diabetes who received emergency PCI in our hospital from January 2017 to August 2020 were recruited in this study.According to the quartile values of baseline serum irisin levels,they were divided into low(＜0.31 mg/L,n=161),medium(0.31-0.97 mg/L,n=150),and high irisin groups(＞0.97 mg/L,n=174).Serum irisin level was measured with ELISA and insulin resistance was assessed by homeostasis model.During a follow-up of 12 months,the relationship between serum irisin level and echocardiographic parameters was evaluated.Results Compared with the baseline irisin level,the level reached a peak of at 8 h after PCI,and decreased a minimum at 3 d after surgery,with statistical differences(P＜0.01).The low irisin group had significantly higher BMI,diastolic blood pressure,fasting blood glucose,fasting insulin,TG,cTnI peak and NT-proBNP levels,but youn-ger age when compared with the medium irisin group and the high irisin group(P＜0.05).Obvi-ously higher diastolic blood pressure,fasting insulin,TG,cTnI peak and NT-proBNP levels were observed in the medium irisin group than the high irisin group(P＜0.05).Pearson correlation analysis showed that baseline serum irisin level was negatively correlated with HOMR-IR,ΔLVEDD,ΔLVESD,ΔLVEDVi and ΔLVESVi(r=-0.338,r=-0.172,r=-0.164,r=-0.154,r=-0.167,P＜0.01).Multiple linear regression analysis indicated that after further ad-justment for impaired glucose tolerance and BMI,low irisin level was still independently associat-ed with ΔLVEDD(P＜0.01).Conclusion Baseline irisin level in STEMI patients without diabetes is correlated with insulin resistance and subsequent poor left ventricular remodeling,and is expec-ted to be a predictor of left ventricular remodeling after PCI.

ObjectiveTo construct a quantitative differentiation model of traditional Chinese medicine （TCM） syndromes by taking primary osteoporosis （POP） with kidney yang deficiency syndrome as an example， and to provide methodological reference for the standardization of syndrome differentiation. MethodsHigh-frequency clinical features of POP were screened by descriptive statistical analysis， and strong association features of POP were obtained by association rule algorithm. On this basis， a latent structure （latent tree） model was established through latent structure analysis， and the implicit and explicit variables （features） related to POP with kidney yang deficiency syndrome were comprehensively clustered， and the clustering results were interpreted by the indexes of mutual information and cumulative information coverage， to explore the primary and secondary symptoms， and to deduce the categories of POP with kidney yang deficiency syndrome based on the probability of the features appearing in the various latent categories. Based on the categories， the clinical feature scores and identification thresholds were calculated， and the syndrome differentiation model of POP with kidney yang deficiency was initially constructed by combining the comprehensive judgment rules. Finally， the results of TCM professionals' judgment were used as the gold standard to further evaluate the effectiveness of the model in assisting the syndrome differentiation. ResultsThe 32 features strongly associated with POP were obtained， and the Bayes information critedon score of the further constructed latent tree model was -15291.93. Based on the mutual information and the cumulative information coverage， the main symptoms of POP with kidney yang deficiency syndrome were bone weakness， fatigue， pale tongue， clear urine， frequent nocturnal urination， cold limbs， thin pulse， white coating， and secondary symptoms were weakness， loss of libido， loose stool， frequent urination， lumbar and knee weakness， and fear of cold. From the probability of the occurrence of each clinical feature in different latent categories of POP with kidney yang deficiency syndrome， the state was introduced as S0 category （none/mild kidney yang syndrome）/ S1 category （moderate kidney yang syndrome）/ S2 category （severe kidney yang syndrome）. Optimizing the preliminary rules of state identification and refining the state of S1 category， the results showed that among 970 patients with POP， there were 520 patients having no/mild kidney yang deficiency syndrome， 224 patients with moderate to mild kidney yang deficiency syndrome， 81 patients with moderate to severe kidney yang deficiency syndrome， and 145 patients with severe kidney yang deficiency syndrome. During the evaluation and validation process， the correct rate of the model assessment index was 0.8835， while the sensitivity was 0.7181， and the specificity was 0.9437. ConclusionCombined with the latent structure analysis of the association rule， the syndrome differentiation model for POP with kidney yang deficiency could be constructed， and the model shows a good quantitative identification effect， which can provide methodological supports for clinicians to improve the efficiency and accuracy of TCM diagnosis.

BACKGROUND: This study aimed to develop a comprehensive instrument for evaluating and ranking clinical practice guidelines, named Scientific, Transparent and Applicable Rankings tool (STAR), and test its reliability, validity, and usability. METHODS: This study set up a multidisciplinary working group including guideline methodologists, statisticians, journal editors, clinicians, and other experts. Scoping review, Delphi methods, and hierarchical analysis were used to develop the STAR tool. We evaluated the instrument's intrinsic and interrater reliability, content and criterion validity, and usability. RESULTS: STAR contained 39 items grouped into 11 domains. The mean intrinsic reliability of the domains, indicated by Cronbach's α coefficient, was 0.588 (95% confidence interval [CI]: 0.414, 0.762). Interrater reliability as assessed with Cohen's kappa coefficient was 0.774 (95% CI: 0.740, 0.807) for methodological evaluators and 0.618 (95% CI: 0.587, 0.648) for clinical evaluators. The overall content validity index was 0.905. Pearson's r correlation for criterion validity was 0.885 (95% CI: 0.804, 0.932). The mean usability score of the items was 4.6 and the median time spent to evaluate each guideline was 20 min. CONCLUSION The instrument performed well in terms of reliability, validity, and efficiency, and can be used for comprehensively evaluating and ranking guidelines.
Reproducibility of Results ; Surveys and Questionnaires ; Practice Guidelines as Topic ; Humans

ObjectiveTo achieve high-dimensional prediction of class imbalanced of adverse drug reaction（ADR） of traditional Chinese medicine（TCM） and to classify and identify risk factors affecting the occurrence of ADR based on the post-marketing safety data of TCM monitored centrally in real world hospitals. MethodThe ensemble clustering resampling combined with regularized Group Lasso regression was used to perform high-dimensional balancing of ADR class-imbalanced data， and then to integrate the balanced datasets to achieve ADR prediction and the risk factor identification by category. ResultA practical example study of the proposed method on a monitoring data of TCM injection performed that the accuracy of the ADR prediction， the prediction sensitivity， the prediction specificity and the area under receiver operating characteristic curve（AUC） were all above 0.8 on the test set. Meanwhile， 40 risk factors affecting the occurrence of ADR were screened out from total 600 high-dimensional variables. And the effect of risk factors on the occurrence of ADR was identified by classification weighting. The important risk factors were classified as follows：past history， medication information， name of combined drugs， disease status， number of combined drugs and personal data. ConclusionIn the real world data of rare ADR with a large amount of clinical variables， this paper realized accurate ADR prediction on high-dimensional and class imbalanced condition， and classified and identified the key risk factors and their clinical significance of categories， so as to provide risk early warning for clinical rational drug use and combined drug use， as well as scientific basis for reevaluation of safety of post-marketing TCM.