The Medical Cases of WU Jutong （《吴鞠通医案》） proposes the principle of "treating all Bi （痹） diseases through taiyin"， which forms the basis for analyzing WU Jutong's understanding of the causes， mechanisms， and treatments of Bi （痹） diseases， providing a reference for clinical diagnosis and treatment. Through an interpretation of the phrase "treating all Bi （痹） diseases through taiyin"， it is suggested that Bi （痹） diseases is primarily caused by dampness， necessitating a focus on spleen and lung in treatment. WU emphasized four main causes of Bi （痹） diseases （wind， cold， dampness， and heat）， with dampness being the predominant factor. The disease location is initially in lung， for which external dampness invades lung first， and internal dampness obstructs the source of water metabolism， impeding lung qi and qi failing to disperse， then dampness further accumulates in the joints， leading to Bi （痹） diseases. WU Jutong proposed the modified Mufangji Decoction （木防己汤） as the foundational prescription for treating Bi （痹） diseases. By comparing the similarities and differences between the modified and original Mufangji Decoction， and analyzing the adjustments in herbal prescriptions， the clinical characteristic of "treating all Bi （痹） diseases through taiyin" is further substantiated.

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.

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.

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.

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.

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.

The Compilation Instructions for Expert Consensus on Clinical Application of Dieda Huoxue capsules systematically expound the development methods and evidence-based basis of this consensus. In view of the weak clinical application evidence and ambiguous indications of Dieda Huoxue capsules， the Institute of Basic Research in Clinical Medicine of the China Academy of Chinese Medical Sciences and Wangjing Hospital took the lead and collaborated with 33 experts from 28 medical institutions nationwide. They strictly followed the World Health Organization （WHO） guideline-making norms and the Grading of Recommendations Assessment， Development and Evaluations （GRADE） evidence-grading system and completed the compilation through multidisciplinary cooperation. The workflow included constructing clinical questions （19 items were screened by the nominal group technique）， retrieving evidence （from Chinese and English databases and grey literature）， assessing safety （integrating drug monitoring data and clinical investigations）， and forming recommendations and consensus suggestions （3 recommendations were reached via the GRADE grid method， and 16 consensus suggestions were reached by the majority vote rule）. The results indicate that the consensus clearly states that this medicine （Dieda Huoxue capsules） is applicable to conditions like traumatic injury， blood stasis-induced pain， and sudden lumbar sprains. The recommended dose is 6 capsules each time， twice a day. Combining oral administration with external application can enhance the efficacy， and elderly patients should take the medicine at intervals. Safety monitoring suggests that it should be used with caution in people with a bleeding tendency and those with an allergic constitution. The compilation process involved three rounds of reviews by internal and external experts. Literature analysis， the Delphi method， and clinical applicability tests were employed to ensure methodological rigor. The compilation instructions comprehensively present key aspects such as project approval and registration， conflict-of-interest statements， and evidence evaluation through 12 appendices， providing methodological support for the clinical translation of the consensus. In the future， it will be continuously improved through a dynamic revision mechanism.

ObjectiveThe proteome of biological evidence contains rich genetic information, namely single amino acid polymorphisms (SAPs) in protein sequences. However, due to the lack of efficient and convenient analysis tools, the application of SAP in public security still faces many challenges. This paper aims to meet the application requirements of SAP analysis for forensic biological evidence’s proteome data. MethodsThe software is divided into three modules. First, based on a built-in database of common non-synonymous single nucleotide polymorphisms (nsSNPs) and SAPs in East Asian populations, the software integrates and annotates newly identified exonic nsSNPs as SAPs, thereby constructing a customized SAP protein sequence database. It then utilizes a pre-installed search engine—either pFind or MaxQuant—to perform analysis and output SAP typing results, identifying both reference and variant types, along with their corresponding imputed nsSNPs. Finally, SAPTyper compares the proteome-based typing results with the individual’s exome-derived nsSNP profile and outputs the comparison report. ResultsSAPTyper accepts proteomic DDA mass spectrometry raw data (DDA acquisition mode) and exome sequencing results of nsSNPs as input and outputs the report of SAPs result. The pFind and Maxquant search engines were used to test the proteome data of 2 hair shafts of2 individuals, and both obtained SAP results. It was found that the results of the Maxquant search engine were slightly less than those of pFind. This result shows that SAPTyper can achieve SAP fingding function. Moreover, the pFind search engine was used to test the proteome data of 3 hair shafts from 1 European person and 1 African person in the literature. Among the sites fully matched by the literature method, sites detected by SAPTyper are also included; for semi-matching sites, that is, nsSNPs are heterozygous, both literature method and SAPTyper method had the risk of missing detection for one type of the allele. Comparing the analysis results of SAPTyper with the SAP test results reported in the literature, it was found that some imputed nsSNP sites identified by the literature method but not detected by SAPTyper had a MAF of less than 0.1% in East Asian populations, and therefore they were not included in the common nsSNP database of East Asian populations constructed by this software. Since the database construction of this software is based on the genetic variation information of East Asian populations, it is currently unable to effectively identify representative unique common variation sites in European or African populations, but it can still identify SAP sites shared by these populations and East Asian populations. ConclusionAn automated SAP analysis algorithm was developed for East Asian populations, and the software named SAPTyper was developed. This software provides a convenient and efficient analysis tool for the research and application of forensic proteomic SAP and has important application prospects in individual identification and phenotypic inference based on SAP.

OBJECTIVE: To explore the functional rehabilitation of patients with rheumatoid arthritis (RA) after total knee arthroplasty (TKA). METHODS: A retrospective analysis was conducted on 101 patients who needed TKA due to rheumatoid arthritis (RA) involving both knees from January 2017 to December 2020, including 16 males and 85 females, aged from 41 to 65 years old with an average of (58.13±5.53) years old;body mass index (BMI) ranged from 16.88 to 33.33 kg·m^-2 with an average of (23.16±3.49) kg·m^-2;63 patients with grade 1, 29 patients with grade 2, and 9 patients with grade 3 according to classification of American Society of Anesthesiologists (ASA). According to the latest follow-up results at 12 months after operation, 82 patients returned to work and 19 patients did not return to work. Visual analogue scale(VAS) was used to evaluate the degree of pain relief before operation and 12 months after operation, and work, osteoarthritis and joint replacement questionnaire (WORQ) was used to evaluate knee joint activity status of all patients before and after operation, and the working ability index was used to evaluate working ability of all patients before operation and 12 months after operation. For the 82 patients who returned to work, the labor time stopped before operation and within 12 months after operation was compared, and the changes in labor grades, types of work and labor hours of patients before and after operation were recorded. For the 19 patients who did not return to work, the specific reasons for their non-return to work was analyzed;the postoperative satisfaction of patients was evaluated by using Likert satisfaction scale. All patients were followed up for at least 12 months. VAS was decreased from (6.49±0.59) before operation to (1.10±0.43) at 12 months after operation (P<0.05);for WORQ questionnaire survey, scores of walking, sitting posture, standing and stair climbing were increased from (1.07±0.35), (1.05±0.29), (1.06±0.34) and (1.14±0.42) before operation to (3.00±0.00), (2.87±0.33), (2.95±0.21) and (2.95±0.21) after operation, respectively, had statistically significant (P<0.05);the labor work index of all patients increased from 1.11±0.46 before operation to 2.99±0.10 at 12 months after operation, and the difference was statistically significant (P<0.05). Among the 82 patients who returned to work after operation, regarding the time of stopping labor, 81 patients stopped working within 3 months before operation, 1 patient stopped working for 4 to 6 months after operation, and the number of patients who stopped working was 81, 1, and 0 respectively. Forty patients returned to work within 3 months after operation, 4 to 6 months after operation for 29 patients, and 12 months after operation for 13 patients. 95.1% (78/82) of patients engaged in light labor before operation, and 85.4% (70/82) of patients engaged in moderate labor after operation. At 12 months after operation, the types of jobs and working hours available to all patients increased compared with those before operation. Among 19 patients who did not return to work after TKA, 7 patients had poor control of rheumatoid arthritis, 5 patients still felt pain, swelling and numbness on knee joint, 2 patients had retired, and 5 patients had other reasons. Eighty-six patients (85%) expressed great satisfaction with the postoperative working ability, 8 patients (8%) expressed satisfaction with the postoperative working ability, 6 patients (6%) expressed acceptance of postoperative working ability, and 1 patient (1%) expressed dissatisfaction with postoperative working ability. CONCLUSION TKA is an effective treatment option for patients with RA. After undergoing TKA, patients could significantly improve pain and functional activities of knee joint, and effectively enhance the quality of life and working ability. For patients whose rehabilitation labor capacity is not fully met, postoperative management and personalized rehabilitation treatment need to be strengthened to achieve the best rehabilitation effect.
Humans ; Female ; Male ; Arthroplasty, Replacement, Knee/rehabilitation* ; Arthritis, Rheumatoid/physiopathology* ; Middle Aged ; Aged ; Retrospective Studies ; Adult

OBJECTIVE: To investigate the efficacy and safety of the conditioning regimen BeEAM (bendamustine+et-oposide+cytarabine+melphalan) in autologous stem cell transplantation (ASCT) for patients with malignant lymphoma. METHODS: The clinical data of 20 patients with malignant lymphoma who underwent ASCT after conditioning with BeEAM regimen from January 2021 to December 2022 in the First Affiliated Hospital of Bengbu Medical University were collected, and the clinical characteristics before transplantation, conditioning-related toxicity, hematopoietic reconstitution after transplantation, and therapeutic effects were analyzed. 67 patients with malignant lymphoma who did not undergo ASCT during the same period were selected as the control group, and the 1-year progression-free survival (PFS) rate and overall-survival (OS) rate between the ASCT group and the non-ASCT group were compared. RESULTS: 15 cases achieved complete remission (CR) and 5 cases achieved partial remission (PR) before transplantation in ASCT group. During the conditioning process of patients in the ASCT group, 14 cases experienced gastrointestinal adverse reactions, 13 cases experienced neutropenic fever, 10 cases experienced oral mucositis, 2 cases experienced abnormal liver function, and only 1 case experienced acute renal injury. All the adverse reactions resolved after symptomatic treatment. After transplantation, 19 cases achieved hematopoietic reconstitution, and only one case had poor platelet engraftment. The median time of peripheral white blood cell (WBC) engraftment was 9 (9-16) days, and the median time of platelet engraftment was 12 (10-23) days. By the end of follow-up, there were no transplant-related deaths. The 1-year PFS rates in the ASCT group and the non-ASCT group were 94.4% and 68.5%, respectively; The 1-year OS rates were 94.4% and 83.5%, respectively. The median PFS and OS time for both groups were not reached. The PFS in the ASCT group was significantly better than that in the non-ASCT group (P < 0.05), and there was no significant difference in OS between the two groups ( P >0.05). CONCLUSION BeEAM regimen is safe and effective as a conditioning treatment for ASCT in patients with malignant lymphoma, with tolerable adverse reactions, controllable non-hematological toxicity, smooth hematopoietic reconstitution, and considerable short-term efficacy. However, further follow-up is required to evaluate its long-term efficacy.
Humans ; Transplantation Conditioning/methods* ; Transplantation, Autologous ; Hematopoietic Stem Cell Transplantation ; Lymphoma/therapy* ; Cytarabine/therapeutic use* ; Female ; Male ; Melphalan/therapeutic use* ; Adult ; Middle Aged ; Bendamustine Hydrochloride/therapeutic use*