Objective To summarize and analyze the efficacy and influencing factors of second allogeneic hematopoietic stem cell transplantation (allo-HSCT) for acute leukemia relapsing after the first allo-HSCT. Methods Clinical data of 17 patients with acute leukemia who underwent second allo-HSCT at Peking University First Hospital from January 2005 to December 2024 were retrospectively analyzed. Results Among the 17 patients, 7 achieved long-term disease-free survival after second transplantation. The median progression-free survival after successful second transplantation was 7 months (range 8 days to 69 months). The relapse fatality was 24%, and the transplant-related fatality was 35%. Conclusions Second transplantation is an effective treatment for relapsed and refractory acute leukemia, but the relapse fatality and transplant-related fatality remain high. Patient age, time of relapse after the first transplantation and disease status before second transplantation are all factors that affect the efficacy of second transplantation. Younger age, late relapse and complete remission of disease before second transplantation are all beneficial for long-term disease-free survival after second transplantation.

Traditional Chinese medicine (TCM) represents a paradigmatic approach to personalized medicine, developed through the systematic accumulation and refinement of clinical empirical data over more than 2000 years, and now encompasses large-scale electronic medical records (EMR) and experimental molecular data. Artificial intelligence (AI) has demonstrated its utility in medicine through the development of various expert systems (e.g., MYCIN) since the 1970s. With the emergence of deep learning and large language models (LLMs), AI's potential in medicine shows considerable promise. Consequently, the integration of AI and TCM from both clinical and scientific perspectives presents a fundamental and promising research direction. This survey provides an insightful overview of TCM AI research, summarizing related research tasks from three perspectives: systems-level biological mechanism elucidation, real-world clinical evidence inference, and personalized clinical decision support. The review highlights representative AI methodologies alongside their applications in both TCM scientific inquiry and clinical practice. To critically assess the current state of the field, this work identifies major challenges and opportunities that constrain the development of robust research capabilities-particularly in the mechanistic understanding of TCM syndromes and herbal formulations, novel drug discovery, and the delivery of high-quality, patient-centered clinical care. The findings underscore that future advancements in AI-driven TCM research will rely on the development of high-quality, large-scale data repositories; the construction of comprehensive and domain-specific knowledge graphs (KGs); deeper insights into the biological mechanisms underpinning clinical efficacy; rigorous causal inference frameworks; and intelligent, personalized decision support systems.
Medicine, Chinese Traditional/methods* ; Artificial Intelligence ; Humans ; Precision Medicine ; Decision Support Systems, Clinical

Objective To evaluate the efficacy and safety of enteric-coated metformin hydrochloride capsules(Junlida?)in patients with T2DM and poor glycemic control under lifestyle interventions.Methods In this study,419 patients with T2DM were recruited from 15 research centers from July 2020 to March 2022,and randomly divided into observation(Obs)group(n=209)and control group(Con,n=210)using a multicenter,randomized,double-blind,non-inferiority trial design.Patients in the Obs group were treated with enteric-coated Metformin hydrochloride capsules(Junlida?),and patients in the Con group were treated with Metformin hydrochloride tablets(Glucophage?).The optimal effective dose of 2 g/d was achieved within 4 weeks,and the reasonable dose was maintained until the end of treatment.The treatment period was 24 weeks.HbA1c and its compliance rate,FPG,and body weight were compared between the two groups in full analysis set(FAS)and protocol set(PPS).Safety and adverse events(AE)were evaluated in safety set(SS).Results A total of 414 participants were randomized(207 cases in Obs group and 207 cases in Con group).414 cases in FAS population(207 cases in Obs group and 207 cases in Con group),and 328 cases in PPS population(164 cases in Obs group and 164 cases in Con group),and 414 cases in SS population(207 cases in Obs group and 207 cases in Con group).After treatment,HbA1c,FPG and body weight were lower in both groups(P<0.05)in FAS and PPS.HbA1c compliance rate was not significantly different between the two groups in FAS and PPS(P>0.05).The results of non-inferiority test showed that the lower limit was>-0.4%in both FAS(-0.154,95%CI-0.384～0.069)and PPS(-0.139,95%CI-0.390～0.112),and the Obs group reached non-inferiority end point.The achievement rate,compliance rate,safety index and incidence of AE were not significantly different between the two groups(P>0.05).Conclusions Junlida? demonstrated non-inferiority to Glucophage? in glycemic control and can be safely and effectively used in patients with diabetes.

Objective:To validate the validity of the auricular cartilage fish-shaped framework in comprehensive rhinoplasty for Chinese Han females.Methods:The clinical data of Chinese Han female patients with short nose and saddle nasal deformity undergoing primary rhinoplasty at the Department of Plastic Surgery, the First Affiliated Hospital of Nanchang University, from August 2021 to October 2023, were retrospectively analyzed. Patients underwent comprehensive rhinoplasty, involving the implantation of an auricular cartilage fish-shaped framework at the nasal tip and a dorsal nasal implant on the nasal bridge.Postoperative follow-up monitored for complications. At 6-month postoperatively, a satisfaction survey was conducted among the patients, their family, or friends using a scale where: very satisfied with improvement=4, moderately satisfied with improvement=3, Slightly satisfied with improvement=2, No improvement=1. Additionally, two plastic surgeons evaluated the postoperative outcomes using a scale where: excellent=5, very good=4, good=3, fair=2, poor=1.Preoperative and 6-month postoperative photographs were processed using Image J software to measure the following parameters: nasolabial angle, nasofacial angle, nasofrontal angle, columellar lobular angle, nasal height, and nasal length. Paired t-tests were used for statistical analysis, with P < 0.05 considered statistically significant. Results:A total of 18 patients were included, with a mean age of (26.4 ± 7.2) years (range: 18-45 years). The mean postoperative follow-up duration was (23.0 ± 9.3) months (range: 6 months to 3 years). All patients recovered well, with no severe complications occurring.The mean patient satisfaction score regarding the postoperative outcome was 3.50 ± 0.62. The mean satisfaction score from family or friends was 3.33 ± 0.69. The two evaluating plastic surgeons rated the outcomes as 4.17 ± 0.85 and 3.94 ± 0.93, respectively, both falling between the excellent and very good categories on the assessment scale.Statistically significant differences (all P < 0.01) were found between preoperative and 6-month postoperative measurements for all assessed nasal parameters. Nasolabial angle: 99.68° ± 2.95° vs. 95.37° ± 1.09°; nasofacial angle: 29.47° ± 2.99° vs. 32.82° ± 2.23°; nasofrontal angle: 140.72° ± 5.18° vs. 133.79° ± 4.43°; columellar lobular angle: 44.86° ± 3.43° vs. 39.23° ± 6.44°; nasal height: (57.52 ± 0.60) mm vs. (58.41 ± 0.39) mm; nasal length: (50.08 ± 0.54) mm vs. (50.64 ± 0.31) mm. Conclusion:The use of the auricular cartilage fish-shaped framework combined with a prosthesis in rhinoplasty, requiring only unilateral or bilateral auricular cartilage, effectively improved low nose and short nose deformities in the majority of Chinese Han females. This validates the favorable outcome of this framework in comprehensive rhinoplasty for this population.

Objective To observe the effects of Chaihu Longgu Muli Decoction on oxidative stress in hippocampus and hypothalamic-pituitary-adrenal(HPA)axis hormone levels of rats with generalized anxiety disorder(GAD);To explore its mechanism of alleviating anxiety in GAD rats.Methods A total of 72 Wistar rats were randomly divided into blank group(12 rats)and modeling group(60 rats).Chronic restraint stress was used to establish the GAD model.The successfully modeled rats were randomly divided into model group,diazepam group(1 mg/kg)and TCM low-,medium-and high-dosage groups(Chaihu Longgu Muli Decoction 6,12,24 g/kg).The administration groups were given corresponding drugs by gavage for 14 consecutive days.Open field experiment and elevated cross maze experiment were used to observe indexes in rat behavior,HE staining was used to observe the morphology of hippocampal tissue,ELISA was used to detect the contents of serum corticotropin releasing hormone(CRH),adrenocorticotropic hormone(ACTH)and corticosterone(CORT),biochemical kits were used to detect the contents of malondialdehyde(MDA),catalase(CAT)and superoxide dismutase(SOD)in hippocampal tissue,RT-PCR was used to detect the mRNA expressions of MEK,ERK,Bax and Bcl-2 in hippocampal tissue,Western blot was used to detect the protein expressions of MEK,p-MEK,ERK,p-ERK,Bax and Bcl-2 in hippocampal tissue.Results Compared with the blank group,the rats in the model group had a significantly slower growth rate of body msss,loose stool,dark hair,significant hair removal and extreme agitation;the activity time and distance in the central area were significantly reduced(P<0.01),the percentage of time,frequency and distance of entering the open arm were significantly reduced(P<0.01);with structural degeneration of hippocampal neurons,changes in cell morphology,disordered arrangement and edema of surrounding tissues;the contents of serum CRH,ACTH and CORT significantly increased(P<0.01);the MDA content in hippocampal tissue significantly increased(P<0.01),CAT and SOD contents significantly decreased(P<0.01),p-MEK and p-ERK protein expressions significantly decreased(P<0.01),Bax mRNA and protein expressions significantly increased(P<0.01),Bcl-2 mRNA and protein expressions significantly decreased(P<0.01).Compared with the model group,the body mass growth rate of diazepam group and each dosage of TCM group increased,and the symptoms of loose stool,hair removal,anxiety and huddling were improved;the activity time and distance in the central area of rats in the diazepam group and TCM medium-and high-dosage groups significantly increased(P<0.01),and the percentage of time,frequency and distance of entering the open arm significantly increased(P<0.05,P<0.01);the contents of serum CRH,ACTH and CORT significantly decreased(P<0.05,P<0.01);the MDA content in the hippocampal tissue in diazepam group and TCM high-dosage group significantly decreased(P<0.01),while the CAT and SOD contents significantly increased(P<0.05,P<0.01),the protein expressions of p-MEK and p-ERK in hippocampal tissue in diazepam group and TCM medium-and high-dosage group significantly decreased(P<0.01),Bax mRNA and protein expressions were significantly decreased(P<0.01),and Bcl-2 mRNA and protein expressions significantly increased(P<0.05,P<0.01).There was no statistical significance in the expressions of MEK,ERK mRNA and protein among the groups(P>0.05).Conclusion Chaihu Longgu Muli Decoction can alleviate anxiety in GAD rats by inhibiting HPA axis hormone release and MEK/ERK signaling pathway activation,improving neuroendocrine levels,and reducing hippocampal oxidative stress response.

To evaluate long-term survival and clinical outcomes of patients with knee osteo-arthritis undergoing total knee arthroplasty (TKA) through long-term follow-up.

To analyze the occurrence of early complications after total hip arthroplasty (THA) in patients with systemic lupus erythematosus (SLE).

BACKGROUND: Over 20 million colonoscopies are performed in China annually. An automatic clinical decision support system (CDSS) with accurate semantic recognition of colonoscopy reports and guideline-based is helpful to relieve the increasing medical burden and standardize the healthcare. In this study, the CDSS was built under a hierarchical-label interpretable classification framework, trained by a state-of-the-art transformer-based model, and validated in a multi-center style. METHODS: We conducted stratified sampling on a previously established dataset containing 302,965 electronic colonoscopy reports with pathology, identified 2041 patients' records representative of overall features, and randomly divided into the training and testing sets (7:3). A total of five main labels and 22 sublabels were applied to annotate each record on a network platform, and the data were trained respectively by three pre-training models on Chinese corpus website, including bidirectional encoder representations from transformers (BERT)-base-Chinese (BC), the BERT-wwm-ext-Chinese (BWEC), and ernie-3.0-base-zh (E3BZ). The performance of trained models was subsequently compared with a randomly initialized model, and the preferred model was selected. Model fine-tuning was applied to further enhance the capacity. The system was validated in five other hospitals with 3177 consecutive colonoscopy cases. RESULTS: The E3BZ pre-trained model exhibited the best performance, with a 90.18% accuracy and a 69.14% Macro-F1 score overall. The model achieved 100% accuracy in identifying cancer cases and 99.16% for normal cases. In external validation, the model exhibited favorable consistency and good performance among five hospitals. CONCLUSIONS The novel CDSS possesses high-level semantic recognition of colonoscopy reports, provides appropriate recommendations, and holds the potential to be a powerful tool for physicians and patients. The hierarchical multi-label strategy and pre-training method should be amendable to manage more medical text in the future.
Humans ; Colonoscopy/methods* ; Deep Learning ; Decision Support Systems, Clinical ; Female ; Male

Nutritional support therapy is one of the extremely important treatment methods for patients in the intensive care unit. Timely and effective nutritional support regimens can improve patients' immune function, reduce complications, and optimize clinical outcomes. Energy expenditure is influenced by multiple factors, including patients' baseline characteristics (such as physical condition, gender, age) and dynamic changes in indicators (such as body temperature, nutritional support regimens, and therapeutic interventions). The currently recognized "gold standard" for accurately assessing energy metabolism in clinical practice is the indirect calorimetry system, also known as the metabolic cart. This device monitors carbon dioxide production and oxygen consumption in real time and uses specific algorithms to estimate the metabolic proportions of the three major nutrients (carbohydrates, fats, and proteins) in energy expenditure. An appropriate nutrient ratio helps maintain the balance between supply and demand in the body's nutritional metabolism. In the management of critically ill patients, the application of the metabolic cart enables personalized nutritional therapy, avoiding over- or under-supply of energy and optimizing the use of medical resources. Furthermore, with real-time, quantitative data support from the energy metabolism monitoring system, clinicians can develop more precise nutritional intervention strategies, thereby improving patient prognosis. This article provides a systematic review of the technical features of the metabolic cart and its application value in various critical care scenarios, aiming to offer a reference for indirect calorimetry in clinical practice.
Humans ; Critical Illness/therapy* ; Nutritional Support ; Energy Metabolism ; Calorimetry, Indirect

OBJECTIVES: This study aimed to investigate the association between temporomandibular disorder (TMD) and insomnia using a two-sample Mendelian randomization (MR) approach. METHODS: Bidirectional MR analyses of two samples, TMD (n=377 277) and insomnia (n=375 359), were performed using genome-wide association study statistics published in the FinnGen database. Instrumental variables were first screened, and then inverse variance weighting (IVW) and MR-Egger were used as the main-effect assessment methods. Weighted median, weighted mode, and simple mode served as supplementary methods. We used IVW and MR-Egger to test for heterogeneity, as well as MR-Egger intercepts to assess the single nucleotide polymorphism (SNP) potential level of multiplicity effects. Sensitivity analyses were conducted based on leave-one-out to identify potentially influential SNPs. All analyses were conducted by using the two-sample MR R package and were considered statistically significant when P<0.05. RESULTS: MR analysis showed the presence of TMD on insomnia (OR=1.089, 95%CI: 1.017-1.166, P=0.014). Meanwhile, no effect of insomnia on TMD (OR=0.996, 95%CI: 0.964-1.029, P=0.816) was found. The sensitivity-analysis showed that no heterogeneity existed (P>0.05), and the presence of horizontal pleiotropy was not detected (P>0.05). Leave-one-out sensitivity analysis showed no single SNP, which may affect the causal relation. All findings indicated that the causal relationship between TMD and insomnia was not significantly affected by any individual SNP and that IV did not bias the results. CONCLUSIONS Results of MR analyses showed that TMD is a risk factor for insomnia, whereas insomnia is not a risk factor for TMD.
Humans ; Sleep Initiation and Maintenance Disorders/genetics* ; Mendelian Randomization Analysis ; Polymorphism, Single Nucleotide ; Temporomandibular Joint Disorders/complications* ; Genome-Wide Association Study