To retrospectively analyze the clinical data of 465 newly diagnosed patients with multiple myeloma (NDMM) admitted to the First Affiliated Hospital of Nanjing Medical University from December 2016 to December 2024, and compare the prognostic value of high-risk cytogenetic abnormalities (HRCAs) in NDMM patients under mSMART 3.0 and mSMART 4.0 risk stratification systems. The results showed that in both stratification systems, the prognosis of high-risk patients was worse than that of standard-risk patients. Moreover, a higher number of HRCAs was associated with a worse prognosis. The mSMART 4.0 system, which considers the coexistence of various cytogenetic abnormalities, provides a more precise definition of HRCA than mSMART 3.0. It demonstrates a superior ability to differentiate between different categories of cytogenetic risk.

Intestinal fibrosis is a significant clinical challenge in inflammatory bowel diseases, but no effective anti-fibrotic therapy is currently available. Glucagon receptor (GCGR) and glucagon-like peptide 1 receptor (GLP1R) are both peptide hormone receptors involved in energy metabolism of epithelial cells. However, their role in intestinal fibrosis and the underlying mechanisms remain largely unexplored. Herein GCGR and GLP1R were found to be reduced in the stenotic ileum of patients with Crohn's disease as well as in the fibrotic colon of mice with chronic colitis. The downregulation of GCGR and GLP1R led to the accumulation of the metabolic byproduct lactate, resulting in histone H3K9 lactylation and exacerbated intestinal fibrosis through epithelial-to-mesenchymal transition (EMT). Dual activating GCGR and GLP1R by peptide 1907B reduced the H3K9 lactylation in epithelial cells and ameliorated intestinal fibrosis in vivo. We uncovered the role of GCGR/GLP1R in regulating EMT involved in intestinal fibrosis via histone lactylation. Simultaneously activating GCGR/GLP1R with the novel dual agonist peptide 1907B holds promise as a treatment strategy for alleviating intestinal fibrosis.

To retrospectively analyze the clinical data of 465 newly diagnosed patients with multiple myeloma (NDMM) admitted to the First Affiliated Hospital of Nanjing Medical University from December 2016 to December 2024, and compare the prognostic value of high-risk cytogenetic abnormalities (HRCAs) in NDMM patients under mSMART 3.0 and mSMART 4.0 risk stratification systems. The results showed that in both stratification systems, the prognosis of high-risk patients was worse than that of standard-risk patients. Moreover, a higher number of HRCAs was associated with a worse prognosis. The mSMART 4.0 system, which considers the coexistence of various cytogenetic abnormalities, provides a more precise definition of HRCA than mSMART 3.0. It demonstrates a superior ability to differentiate between different categories of cytogenetic risk.

Objective:To analyze the use of policy tools for rural-oriented tuition-waived medical student training policy and to provide relevant suggestions for the continuous promotion of the policy.Methods:With "rural-oriented tuition-waived medical students" as the key word, the policy texts were collected and screened from government portals. Using ROTHWELL disaggregated method to build the rural order directional medical students training policy analysis framework, applying Excel 2019 software for classification and coding of policy texts.Results:A total of 13 rural-oriented medical student training policy texts were screened and obtained. The X dimension of the policy analysis framework for rural order-oriented medical student training included three policy tools, namely, supply, environment and demand, and the Y dimension included three policy objectives, namely, available, usable, and retained. In X dimension, environmental policy tools were most frequently used. In Y dimension, the "retained" target had the highest frequency of use.Conclusion:There were differences in the frequency of using policy tools for targeted medical student cultivation in different policies. The frequency of using environmental tools is higher, which highlighted the attention of the state to medical and health services. The internal structure of policy tools is unbalanced, so the configuration of supply-oriented policy tools should be optimized, and the construction of demand-oriented policy tools should be emphasized. It is suggested to continuously optimize the combination of policy tools, improve the compatibility between policy tools and rural order-oriented medical student training, and pay attention to the sustainability of policy tools.

Objective:To explore the risk factors influencing the short-term mortality of patients with sepsis in intensive care unit (ICU) and the combined value of predicting prognosis.Methods:A retrospective analysis was performed on 104 patients with sepsis admitted to emergency ICU of Jiangsu Provincial Hospital of Traditional Chinese Medicine from January 2018 to August 2019. Multiple general information containing gender, age, past history as well as complications and sequential organ failure assessment (SOFA) score, mean arterial pressure (MAP), blood routine examination, hepatic and renal function, coagulation indicators and procalcitonin (PCT) were collected within 24 hours of admission. Patients were divided into death group and survival group according to the 28-day outcome. Univariate and multivariate Logistic regression analysis were used to find the effective factors influencing the prognosis of sepsis. Receiver operating characteristic (ROC) curve was drawn to evaluate the value of related indexes in predicting the prognosis of sepsis. Correlation between parameters that might be relevant to disease severity and SOFA score was evaluated by Pearson or Spearman correlation analysis.Results:104 patients were enrolled for final analysis, of whom 60 patients survived, while the others died with a 28-day mortality of 42.3%. ① Univariate analysis results: the incidence of acute kidney injury (AKI), SOFA score, serum creatinine (SCr), D-dimer, activated partial thromboplastin time (APTT), international normalized ratio (INR) and PCT in the death group were significantly higher than those in the survival group [incidence of AKI: 70.5% (31/44) vs. 36.7% (22/60), SOFA score: 11.0 (8.0, 13.0) vs. 8.0 (6.2, 10.0), SCr (μmol/L): 108.8 (65.5, 235.6) vs. 75.1 (55.1, 109.5), D-dimer (mg/L): 4.1 (1.6, 11.6) vs. 2.1 (1.2, 4.3), APTT (s): 42.6 (37.7, 55.7) vs. 40.3 (35.9, 44.7), INR: 1.3 (1.2, 1.5) vs. 1.2 (1.1, 1.4), PCT (μg/L): 3.1 (0.4, 39.9) vs. 0.3 (0.1, 3.4), all P < 0.05]. ② Multivariate Logistic regression analysis results: all indicators of univariate analysis were included in the multivariate Logistic regression model considering interaction between each variable. Multivariate Logistic regression analysis was repeated based on conditional backward method. Age, SOFA score, MAP, neutrophil (NEU), lymphocyte (LYM) and APTT were automatically selected by SPSS software to build the predicting model. Analysis results showed that SOFA score, NEU and LYM were independent risk factors for the short-term prognosis of sepsis [SOFA score: odds ratio ( OR) = 1.22, 95% confidence interval (95% CI) was 1.04-1.44, P = 0.02; NEU: OR = 1.14, 95% CI was 1.03-1.26, P = 0.01; LYM: OR = 0.79, 95% CI was 0.66-0.95, P = 0.01]. ③ ROC curve analysis results: the above six-variable prediction model had the optimal fitting degree defaulted by SPSS. ROC curve showed that the combination of age [area under ROC curve (AUC) = 0.60], SOFA score (AUC = 0.71), MAP (AUC = 0.53), NEU (AUC = 0.59), LYM (AUC = 0.54) and APTT (AUC = 0.61) had better sensitivity (79.5%) and specificity (65.0%) as well as the maximal AUC (AUC = 0.75), which suggested that combined prediction had higher diagnostic value in predicting the short-term prognosis of sepsis.④ Correlation analysis showed that NEU, D-dimer, prothrombin time (PT), APTT, INR and PCT were positively correlated with SOFA score ( r values were 0.26, 0.28, 0.21, 0.22, 0.10, 0.38, respectively, all P < 0.05). Conclusions:SOFA score, NEU and LYM were independent risk factors for the short-term prognosis of sepsis. The combination of age, SOFA score, MAP, NEU, LYM and APTT were more accurate than any single factor in predicting the short-term prognosis of sepsis and had higher diagnostic value. NEU, D-dimer, PT, APTT, INR and PCT were correlated with SOFA score.

Professor Zhang Yingze, an academician of Chinese Engineering Academy, has dedicated himself to clinical medicine, scientific research and education in orthopedics for over 4 decades. In recent years, Professor Zhang, together with his research team, has made marvelous breakthroughs in various aspects of traumatic orthopedics which he is trying to put into practical transformation. The significant innovations of Professor Zhang and his colleagues include (1) establishment of an epidemiologic system for Chinese traumatic orthopedics, (2) proposal of new types of fractures, e.g., spiral tibial shaft fracture associated with posterior malleolar fracture, (3) introduction of fibular osteotomy for knee osteoarthritis and (4) new diagnosis and treatment approaches for pelvic and acetabular fractures. This paper is to discuss the academic thoughts of Professor Zhang, hoping to inspire young Chinese traumatic orthopedists to devote themselves to scientific innovations.

Objective:To investigate the expression level of Ki-67 in the bone marrow biopsy of newly diagnosed MM patients, and its relationship with clinical efficacy and prognosis.Methods:Bone marrow pathological samples of 124 newly diagnosed MM patients in Jiangsu Province Hospital from January 2012 to June 2017 were collected. The expression level of Ki-67 in myeloma cells was detected by using immunohistochemistry. X-tile software was applied to find a cutoff of Ki-67. The patients were divided into the high Ki-67 expression group and the low Ki-67 expression group, and the clinical characteristics, therapeutic efficacy and survival of both groups were compared. Chi-square test or Fisher's exact test was used to analyze the counting data. Kaplan-Meier method was applied to make survival anlaysis. Cox regression model was used for univariate prognostic analysis and multivariate prognostic analysis.Results:A total of 124 newly diagnosed MM patients were enrolled with median follow-up of 36 months. The proportion of the positive myeloma cells in abnormal plasmocytes was used to quantize the expression level of Ki-67. Using a cutoff of 20%, these cases could be divided into two groups; the proportion of positive cells was lower than 20% (the low Ki-67 expression group) and the proportion of positive cells was 20% or above (the high Ki-67 expression group). There were 27 cases (21.7%) in the high expression group and 97 cases (78.2%) in the low expression group. There were no statistically significant differences in the clinical characteristics and treatment regimens (all P > 0.05). The overall remission rate (ORR) of patients in the high Ki-67 expression group was lower than that of patients in the low Ki-67 expression group [59.3% (16/27) vs. 83.5% (81/97)], and the difference was statistically significant (χ 2 = 7.290, P = 0.007). The percentage of patients who achieved very good partial remission (VGPR) and complete remission in the high Ki-67 expression group was lower than that of those in the low Ki-67 expression group [33.3% (9/27) vs. 66.0% (64/97)], and the difference was statistically significant (χ 2 = 9.297, P = 0.002). There were statistically significant differences in the median progression free survival (PFS) time (12.0 months vs. 31.0 months, P < 0.01) and 3-year PFS rate (10% vs. 37%, P = 0.002). The median overall survival (OS) time was 39.0 months and 56.5 months in the high and low Ki-67 expression groups, respectively ( P = 0.003). The multivariate analysis showed that high Ki-67 expression was an independent affecting factor for PFS ( HR = 3.592, 95% CI 1.921-6.719, P < 0.01) and OS ( HR = 3.511, 95% CI 1.537-8.022, P = 0.003). Conclusions:High expression of Ki-67 is an independent poor prognostic factor affecting therapeutic effect and survival for newly diagnosed MM patients.

OBJECTIVE: To detect chromosomal aberrations by using cytoplasmic light chain immunofluorescence with fluorescence in situ hybridization (cIg-FISH), and to explore the correlation of del(17p13) with clinical characteristics, drug response and prognosis among patients with newly diagnosed multiple myeloma (NDMM). METHODS: Clinical data of 198 cases of NDMM was collected. cIg-FISH and a specific probe (TP53) were used to detect karyotypic abnormalities in bone marrow samples derived from the patients. Correlation between karyotypic abnormalities and clinical data was analyzed. RESULTS: Nineteen of the 198 patients (9.6%) were found to have a karyotype involving del(17p13). The overall survival (OS) and progression-free survival (PFS) for patients with or without del(17p13) was significantly different (P<0.01). No significant difference was found in OS and PFS between patients carrying a del(17p13) on bortezomib and non-bortezomib regimen (OS: P = 0.873; PFS: P = 0.610). CONCLUSION cIg-FISH is a simple and convenient method for the detection of karyotypic anomalies in multiple myeloma. Del(17p13) is an indicator for poor prognosis for multiple myeloma patients. Bortezomib cannot improve the survival disadvantage of del(17p13).

Expert Consensus on the Application of Chinese Patent Medicine for Acute Upper Respiratory Tract Infection was established under the joint sponsorship of Specialty Committee of Emergency of World Federation of Chinese Medicine Societies, Emergency Physician Branch of Chinese Medical Doctor Association, Emergency Medicine Professional Committee of Chinese Association of Integrative Medicine and Chinese Emergency Medical Parternerships. In the consensus, the Chinese patent medicines for treatment of acute upper respiratory tract infection (AURI) were summarized and analyzed, and after the expert writers had discussed the contents of the consensus together, they decided to formulate the experts' consensus related to the AURI, expecting to provide a reference to the clinical treatment of this disease.

Objective: To observe the efficacy and safety of CTD (cyclophosphamide, thalidomide, dexamethasone) and PCD (bortezomib, cyclophosphamide, dexamethasone) regimens in treatment of patients with newly diagnosed multiple myeloma (NDMM) . Methods: A retrospective analysis was carried out on 88 cases of NDMM patients admitted to our hospital from July 2013 to January 2016, including 49 cases in CTD group and 39 cases in PCD group. The outcomes of two different regimens were analyzed, including response, prognosis, and adverse events. Results: The total overall remission rates (ORR, better than PR) of CTD and PCD were 65.3% (32/49) and 84.6% (33/39) , while very good partial response (VGPR) were 30.6% (15/49) and 53.8% (21/39) , and differences were statistically significant (P=0.041, P=0.028) . The median follow-up was 11.5 (3-33) months. The median progression-free survival (PFS) was (23.0±4.5) months in CTD groups, but it was not achieved in PCD group, with statistically significant differences (P=0.050) . Medial overall survival was not achieved in both two groups, without statistically significant difference (P=0.257) . There were statistical differences between patients with minor response (MR) and patients without MR in medium OS in CTD group (P=0.005) , and there were statistical difference between patients with VGPR and without VGPR in medium OS in CTD group (P=0.042) . Infection was a common adverse event in two groups. The incidences of peripheral neuropathy and herpes zoster were markedly higher in PCD group than CTD group, and the incidences of thrombus, palpation and rash, etc., were higher in CTD group. Conclusion Both CTD and PCD regimens were effective first-line induction chemotherapy choice for NDMM. PCD regimen is better than CTD in treatment power and deep remission.