ObjectiveThe essence of syndrome manifestation recognition in traditional Chinese medicine (TCM) is to infer the body’s latent pathogenesis state from clinical observational information, rather than to perform simple label matching. However, previous studies have largely modeled this task as syndrome pattern classification within a fixed label space, which does not adequately reflect the cognition process of TCM syndrome differentiation centered on pathogenesis reasoning, and is also insufficient to capture the openness, semantic variability, and cross-disease reusability of syndrome manifestation expression. This study aimed to investigate whether introducing pathogenesis reasoning chain-of-thought (PR-CoT) supervision into large language models (LLMs) could improve the quality and cognitive consistency of syndrome manifestation recognition and support cross-disease transfer. MethodsSyndrome manifestation recognition was formulated as a conditional generation task under the framework of clinical observational information (X)→pathogenesis structure (Z)→syndrome pattern output (Y), where Z serves as an explicit intermediate structural variable linking the clinical evidence and syndrome judgment. Within this framework, a PR-CoT-supervised dataset for syndrome manifestation recognition was constructed based on medical case records of spleen-stomach disorders. After preprocessing, information extraction, manual proofreading, and data cleaning, the dataset comprised 4 800 training cases, 400 development cases, and 400 test cases. Each sample was annotated with a structured PR-CoT consisting of three progressive levels: clinical information summarization, comprehensive pathogenesis analysis, and syndrome pattern output. Supervised fine-tuning was conducted on open-source LLMs, with an end-to-end model serving as the baseline. Qwen3-32B was used as the primary experimental model, and Qwen3-14B as the scale comparison model. A progressive multidimensional evaluation framework was further established, comprising a structural parsing level, a semantic similarity level, and an expert blind review level. At the structural parsing level, syndrome pattern expressions were decomposed into structural elements and evaluated using Precision, Recall, F1 score, and Jaccard similarity. At the semantic similarity level, independent LLMs scored the theoretical proximity between predicted and reference syndrome patterns. At the expert blind review level, three TCM experts independently evaluated model outputs on two dimensions: syndrome differentiation consistency and terminology standardization of syndrome patterns. In addition, zero-shot cross-disease transfer evaluation was conducted on gynecological and heart-system disorder test sets. ResultsAt the structural parsing level, PR-CoT supervision did not lead to a stable improvement in the element-wise overlap of syndrome pattern structural components. Compared with the corresponding baselines, neither Qwen3-32B nor Qwen3-14B showed consistent advantages in structural matching metrics after the introduction of PR-CoT supervision. In contrast, at the semantic similarity level, PR-CoT supervision produced stable positive gains across different model scales and evaluation systems. The average semantic score of Qwen3-32B increased from 6.425 8 in the baseline model to 6.585 0 after PR-CoT supervision, and that of Qwen3-14B increased from 5.870 0 to 5.964 2. At the expert blind review level, the overall score of Qwen3-32B (PR-CoT) was 7.026 0±0.107 7, higher than 6.416 3±0.288 9 for its baseline. In zero-shot cross-disease testing, the PR-CoT model still showed advantages in semantic evaluation and expert evaluation on both gynecological and heart-system disorder test sets, indicating a certain degree of transferability. ConclusionThe benefits of PR-CoT supervision are mainly reflected in TCM semantic consistency and clinical plausibility, rather than in improved hard matching of structural elements. These findings support understanding syndrome manifestation recognition as a process of generating and expressing latent pathogenesis structures, rather than as a classification task within a traditional fixed label space. By introducing pathogenesis reasoning as an explicit intermediate structure into the modeling process and combining it with a progressive multidimensional evaluation framework, this study provides a methodological pathway for intelligent TCM syndrome differentiation that integrates theoretical alignment, interpretability, and multi-level evaluation.

ObjectiveThe essence of syndrome manifestation recognition in traditional Chinese medicine (TCM) is to infer the body’s latent pathogenesis state from clinical observational information, rather than to perform simple label matching. However, previous studies have largely modeled this task as syndrome pattern classification within a fixed label space, which does not adequately reflect the cognition process of TCM syndrome differentiation centered on pathogenesis reasoning, and is also insufficient to capture the openness, semantic variability, and cross-disease reusability of syndrome manifestation expression. This study aimed to investigate whether introducing pathogenesis reasoning chain-of-thought (PR-CoT) supervision into large language models (LLMs) could improve the quality and cognitive consistency of syndrome manifestation recognition and support cross-disease transfer. MethodsSyndrome manifestation recognition was formulated as a conditional generation task under the framework of clinical observational information (X)→pathogenesis structure (Z)→syndrome pattern output (Y), where Z serves as an explicit intermediate structural variable linking the clinical evidence and syndrome judgment. Within this framework, a PR-CoT-supervised dataset for syndrome manifestation recognition was constructed based on medical case records of spleen-stomach disorders. After preprocessing, information extraction, manual proofreading, and data cleaning, the dataset comprised 4 800 training cases, 400 development cases, and 400 test cases. Each sample was annotated with a structured PR-CoT consisting of three progressive levels: clinical information summarization, comprehensive pathogenesis analysis, and syndrome pattern output. Supervised fine-tuning was conducted on open-source LLMs, with an end-to-end model serving as the baseline. Qwen3-32B was used as the primary experimental model, and Qwen3-14B as the scale comparison model. A progressive multidimensional evaluation framework was further established, comprising a structural parsing level, a semantic similarity level, and an expert blind review level. At the structural parsing level, syndrome pattern expressions were decomposed into structural elements and evaluated using Precision, Recall, F1 score, and Jaccard similarity. At the semantic similarity level, independent LLMs scored the theoretical proximity between predicted and reference syndrome patterns. At the expert blind review level, three TCM experts independently evaluated model outputs on two dimensions: syndrome differentiation consistency and terminology standardization of syndrome patterns. In addition, zero-shot cross-disease transfer evaluation was conducted on gynecological and heart-system disorder test sets. ResultsAt the structural parsing level, PR-CoT supervision did not lead to a stable improvement in the element-wise overlap of syndrome pattern structural components. Compared with the corresponding baselines, neither Qwen3-32B nor Qwen3-14B showed consistent advantages in structural matching metrics after the introduction of PR-CoT supervision. In contrast, at the semantic similarity level, PR-CoT supervision produced stable positive gains across different model scales and evaluation systems. The average semantic score of Qwen3-32B increased from 6.425 8 in the baseline model to 6.585 0 after PR-CoT supervision, and that of Qwen3-14B increased from 5.870 0 to 5.964 2. At the expert blind review level, the overall score of Qwen3-32B (PR-CoT) was 7.026 0±0.107 7, higher than 6.416 3±0.288 9 for its baseline. In zero-shot cross-disease testing, the PR-CoT model still showed advantages in semantic evaluation and expert evaluation on both gynecological and heart-system disorder test sets, indicating a certain degree of transferability. ConclusionThe benefits of PR-CoT supervision are mainly reflected in TCM semantic consistency and clinical plausibility, rather than in improved hard matching of structural elements. These findings support understanding syndrome manifestation recognition as a process of generating and expressing latent pathogenesis structures, rather than as a classification task within a traditional fixed label space. By introducing pathogenesis reasoning as an explicit intermediate structure into the modeling process and combining it with a progressive multidimensional evaluation framework, this study provides a methodological pathway for intelligent TCM syndrome differentiation that integrates theoretical alignment, interpretability, and multi-level evaluation.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

Based on commonly used acupoints in the clinical acupuncture treatment of functional dyspepsia （FD）， this study systematically analyzes the therapeutic differences and synergistic effects between local and distal point selection. It also examines the suitability of primary acupoint selection for different FD subtypes， postprandial distress syndrome （PDS） and epigastric pain syndrome （EPS）. The findings suggest that a combination of local and distal acupoints may be more appropriate as primary points for PDS， whereas local acupoints alone may be more suitable for EPS. Additionally， the study explores the impact of various factors， such as stimulation techniques， needling order， intensity or stimulation parameters， and depth， on the efficacy of acupuncture. It concludes that the intrinsic properties of acupoints are the primary determinants of therapeutic direction. Other factors mainly influence the magnitude rather than the direction of the effect. Future research may further investigate how different acupoint combinations， local versus distal， affect the treatment outcomes of FD subtypes， providing new insights for clinical acupuncture prescriptions.

Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.

Objective To evaluate the efficacy and safety of the antibody-drug conjugate(ADC)vedotinumab combined with programmed cell death protein 1(PD-1)inhibitors as neoadjuvant therapy in patients with bladder cancer.Methods This retrospective study included 54 patients with bladder cancer who underwent neoadjuvant therapy at the Department of Urology,Peking University First Hospital,between Jun.2023 and Jun.2025.Among them,26 patients received vedotinumab combined with a PD-1 inhibitors,and 28 patients received gemcitabine plus cisplatin(GC).Clinical data,pathological complete response(pCR)rates,and pathological downstaging rates were collected.Treatment-related adverse events(TRAEs)were also assessed in both groups.Results There were no statistically significant differences between the two groups in terms of age,sex,smoking history,tumor grade and stage,depth of invasion,or human epidermal growth factor receptor 2(HER2)expression,indicating good baseline comparability(P＞0.05).The pCR rate in the vedotinumab plus PD-1 inhibitor group was 57.69％(15/26),significantly higher than that of the GC group at 25.00％(7/28)(P＜0.05).Pathological downstaging occurred in 5 patients in either group,with no statistically significant difference(P＞0.05).The main TRAEs in the vedotinumab plus PD-1 inhibitor group were peripheral sensory neuropathy and rash,and no grade 3-4 severe adverse events were observed.In contrast,the GC group predominantly experienced bone marrow suppression,with 4 cases of grade 3-4 adverse events.Conclusion Vedotinumab combined with PD-1 inhibitors demonstrated significantly superior efficacy and favorable safety compared with the conventional GC regimen as neoadjuvant therapy for bladder cancer.

Objective To evaluate the effect of optical body surface monitoring system(OSMS)in setup of intensity modulated radiotherapy(IMRT)for thoracic tumorsand to analyze its relationship with BMI.Methods Thesetup errors of CBCT and location CT with body membrane and the registration errors of OSMS and first body surface reference image without body membrane were obtained in 49 patients with thoracic tumor who received routine intensity modulated radiotherapy.The paired t-test was used to analyze the difference of registration errors between the two image guidance methods.Pearson′s correlation analysis was used to analyze the correlation between CBCT errors and OSMS errors,and Bland-Altman analysis was employed to evaluatethe agreement of the two errors.The correlation and consistency of the two registration errors in patients with different BMI index were analyzed.PTV external marginsby the two registration methods were calculated using Van Herk formula.Results The OSMS and CBCT groups demonstrated significant differences in setup errors in the ventrodorsal direction(P<0.05),while no significant differences were found in the left-right,head-foot translation directions,or RTN rota-tion directions(P>0.05).Although the two methods showed a significant correlation in setup errors(P<0.05),this correlation was only moderate in the head-foot and left-right directions(r=0.500,0.408),weak in the RTN rotation direction(r=0.339),and very weak in the ventrodorsal direction(r=0.152).The limits of agreement(LOA,95％CI)between the two methods were[-0.45,0.45]cm in the left-right direction,[-0.59,0.57]cm in the head-foot direction,and[-0.48,0.40]cm in the ventrodorsal direction,with(-2.08°～2.19°)in the RTN rotation direction.Different BMI levels influenced the results of the two registration methods,particularly in patients with a BMI of 18.5～23.9 kg/m2.In this group,OSMS and CBCT exhibited a strong correlation in the head-foot direction(r=0.731),a moderate correlation in the left-right direction(r=0.512),and weak correlations in the ventrodorsal and RTN rotation directions(r=0.345,0.267).The absolute difference in setup errors between the two imaging systems was 0.4～0.5 cm/2°.Using CBCT and OSMS image guidance,the margins in the left-right,head-foot,and ventrodorsal directions were[0.5 cm,0.7 cm,0.3 cm]for CBCT,and[0.5 cm,0.7 cm,0.5 cm]for OSMS.Conclusion In chest tumor patients with a BMI of 18.5～23.9 kg/m2,OSMS and CBCT image guidance methods show good correlation in the head-foot and left-right directions,but their limits of agreement exceed the clinically acceptable range.OSMS cannot yet replace CBCT for image guidance in chest tumor intensity-modulated radiotherapy.Further improvements to tumor motion surrogates are necessary to enhance the accuracy of OSMS image guidance.

Objective:To explore the potential profile characteristics and influencing factors of rehabilitation motivation in elderly patients with first stroke, so as to provide reference for promoting precise rehabilitation mode.Methods:A convenience sampling method was employed to conduct a cross-sectional survey of elderly patients with first stroke admitted to the Huanhu Hospital Affiliated to Tianjin Medical University from October 2024 to March 2025. The survey utilized a general information questionnaire, the Motivation in Stroke Patients for Rehabilitation Scale, the Perceived Social Support Scale (PSSS), the Exercise Adherence Questionnaire (EAQ), and the Stroke Stigma Scale (SSS). Potential categories of rehabilitation motivation among elderly patients with first stroke were identified using latent profile analysis, and the influencing factors of these potential categories were explored using the ordered multinomial Logistic regression.Results:A total of 290 survey questionnaires were distributed, and 281 valid questionnaires were collected, with an effective response rate of 96.9%(281/290). Among 281 elderly patients with first stroke, there were 152 males and 129 females, with an age of (68.68 ± 6.89) years. The score of the Motivation in Stroke Patients for Rehabilitation Scale was 56.00 (36.00, 68.00) points. Rehabilitation motivation among elderly patients with first stroke could be categorized into three groups: low motivation-lack of family support and unclear goals group (44.1%, 124/281), moderate motivation-social reintegration driven but insufficient behavior group (41.3%, 116/281), and high motivation autonomous planning adaptation and value internalization group (14.6%, 41/281). The ordered multinomial Logistic regression analysis showed that compared to patients aged ≥80 years, patients aged 60-69 years were less likely to belong to the high motivation autonomous planning adaptation and value internalization group ( OR=0.231, P<0.05). Compared to patients with a per capita monthly income of ≥5 001 yuan, patients with a per capita monthly income of 3 001-5 000 yuan were more likely to belong to the high motivation autonomous planning adaptation and value internalization group ( OR=2.340, P<0.05). Compared to heavily dependent patients, patients who were completely independent ( OR=0.160, P<0.05), mildly dependent ( OR=0.155, P<0.01), and moderately dependent ( OR=0.211, P<0.05) were less likely to belong to the high motivation autonomous planning adaptation and value internalization group. The higher the EAQ score, the more likely patients were to belong to the high motivation autonomous planning adaptation and value internalization group ( OR=1.139, P<0.01). The higher the PSSS score, the more likely patients were to belong to the high motivation autonomous planning adaptation and value internalization group ( OR=1.108, P<0.01). The higher the SSS score, the less likely patients were to belong to the high motivation autonomous planning adaptation and value internalization group ( OR=0.787, P<0.01). Conclusions:Healthcare professionals can develop targeted intervention strategies based on the characteristics and influencing factors of patients' different rehabilitation motivations, thereby enhancing their rehabilitation motivation and promoting patient recovery.

Objective:To explore the potential categories of internal ability of elderly patients with ischemic stroke, identify the influencing factors and propose corresponding nursing interventions.Methods:This was a cross-sectional study. From January 2025 to May 2025, the elderly patients with ischemic stroke in Tianjin Huanhu Hospital were selected by convenient sampling method. The general information questionnaire, the Internal Capacity Assessment Scale for the Older People, the Health Literacy Scale for stroke patients and the Perceived Social Support Scale were used to investigate. To determine latent categories of patients' intrinsic capacity, potential profile analysis was employed. Subsequently, multivariable Logistic regression examined factors associated with these categories.Results:A total of 260 survey questionnaires were distributed, and 256 valid questionnaires were finally collected, with an effective response rate of 98.46% (256/260). Among of them, there were 166 males and 90 females, aged 68.00 (63.00, 74.00) years.The intrinsic ability of elderly patients with ischemic stroke could be divided into three potential categories: low sensation-low exercise group (27.0%, 69/256), relatively stable intrinsic ability group (37.5%, 96/256) and low cognition-low psychology group (35.5%, 91/256). Multivariable Logistic regression showed that advanced age (compared to the low sensation-low exercise group, OR=0.902; compared to the relatively stable intrinsic ability group, OR=0.813), smoking (compared to the low sensation-low exercise group, OR=0.459; compared to the relatively stable intrinsic ability group, OR=0.442), the lower the Barthel index (compared to the low sensation-low exercise group, ≤40 points with OR=0.157; 41-60 points with OR=0.285) were more likely to enter the low cognition-low psychology group (all P<0.05); other chronic disease types ≤1 (compared to the low cognition-low psychology group, OR=2.630), higher health literacy scores (compared to the low cognition-low psychology group, OR=1.033) were more likely to enter the relatively stable intrinsic ability group (both P<0.05); and stroke frequency was the first occurrence (compared to the low cognition-low psychology group, OR=2.725) was more likely to enter the low sensation-low exercise group ( P<0.05). Conclusions:In older adults with ischemic stroke, the characteristics of intrinsic ability are clearly categorized. To enhance patient outcomes, healthcare professionals are advised to tailor nursing interventions based on the unique features and specific influencing factors associated with each potential category.