Objective To establish TLC identification method,HPLC fingerprint,chemical pattern recognition,and multi-components quantitative analysis methods of Spatholobus suberectus,and identify the quality of 16 batches of Spatholobus su-berectus from different origins.Methods The TLC method was used to identify Spatholobus suberectus qualitatively.HPLC fin-gerprint of Spatholobus suberectus was established.The quality of Spatholobus suberectus was evaluated by chemical pattern recogni-tion technologies,and the contents of Gallocatechin,protocatechuic acid,catechin,epigallocatechin and fermononetin were deter-mined by HPLC.Results TLC method of Spatholobus suberectus was established.Ten common peaks were identified in 16 bat-ches of Spatholobus suberectus,and 6 components were identified by reference substances.The similarity of fingerprint was 0.769-0.990,indicating good similarity.The samples were divided into 3 groups by cluster analysis.Results of the principal component a-nalysis showed that the top 3 samples in the list of comprehensive scores were S16、S1 1、S14.Marker compounds that cause the quality difference of Spatholobus suberectus were screened out through the orthogonal partial least squares discriminant analysis,which were fermononetin,peaks 7 and epigallocatechin.Gallocatechin,protocatechuic acid,catechin,epigallocatechin,and ferm-ononetin had a good linearity in the concentration range(r＞0.999).The content determination analysis showed that there were sig-nificant differences in the contents of the 5 index components among Spatholobus suberectus from different origins.Conclusion The established TLC and HPLC fingerprints of Spatholobus suberectus were stable and reliable,and the HPLC method for multiple active components method provides scientific support for improving the quality control method of Spatholobus suberectus.

Objective:The aim of this study was to assess the frailty status of patients with heart failure undergoing CRT-D and then explore the predictive value of frailty for all-cause mortality and heart failure-related readmissions in these patients.Methods:We retrospectively included 374 patients with chronic heart failure who underwent CRT-D treatment at the First Affiliated Hospital of Xinjiang Medical University between June 2020 and June 2024. Based on the Tilburg Debilitation Assessment Scale, 175 patients (46.8%) were classified as frail while 199 (53.2%) were classified as non-frail. The baseline data between the two groups was compared using Cox regression analysis and Kaplan-Meier curves were used for survival analysis. P-values of <0.05 indicated statistically significant differences. Results:A total of 374 patients aged 25-93 (68±11) years were enrolled in this study, 101 (27.0%) of which were female. Among these, 175 (46.8%) were categorized as frail, and 199 (53.2%) were classified as non-frail. Over a median follow-up time of 23 (5, 45) months, 35 (9.4%) patients experienced all-cause mortality, with 30 (17.1%) deaths occurring in the frail group and 5 (2.5%) in the non-frail group; meanwhile, readmission events due to heart failure occurred in a total of 174 (46.5%) patients, including 122 (70.1%) in the frail group, and 52 (29.9%) in the non-frail group. Cox analysis showed that frailty was a significant determinant of all-cause mortality ( HR=21.25, 95% CI 3.99-113.30, P<0.001) and readmission among heart failure patients receiving CRT-D ( HR=2.52, 95% CI 1.73-3.68, P<0.001). Log-rank tests showed that the survival rate of patients in the frail group was significantly lower than that of patients in the non-frail group ( HR=7.22, 95% CI 2.80-18.60, P<0.001) and the risk of readmission events due to heart failure was significantly higher among patients in the frail group than among those in the non-frail group ( HR=2.75, 95% CI 1.98-3.81, P<0.001). Conclusions:Frailty is an independent predictor of postoperative all-cause mortality and the occurrence of heart failure-related readmissions in patients with heart failure treated receiving CRT-D.

Objective To establish TLC identification method,HPLC fingerprint,chemical pattern recognition,and multi-components quantitative analysis methods of Spatholobus suberectus,and identify the quality of 16 batches of Spatholobus su-berectus from different origins.Methods The TLC method was used to identify Spatholobus suberectus qualitatively.HPLC fin-gerprint of Spatholobus suberectus was established.The quality of Spatholobus suberectus was evaluated by chemical pattern recogni-tion technologies,and the contents of Gallocatechin,protocatechuic acid,catechin,epigallocatechin and fermononetin were deter-mined by HPLC.Results TLC method of Spatholobus suberectus was established.Ten common peaks were identified in 16 bat-ches of Spatholobus suberectus,and 6 components were identified by reference substances.The similarity of fingerprint was 0.769-0.990,indicating good similarity.The samples were divided into 3 groups by cluster analysis.Results of the principal component a-nalysis showed that the top 3 samples in the list of comprehensive scores were S16、S1 1、S14.Marker compounds that cause the quality difference of Spatholobus suberectus were screened out through the orthogonal partial least squares discriminant analysis,which were fermononetin,peaks 7 and epigallocatechin.Gallocatechin,protocatechuic acid,catechin,epigallocatechin,and ferm-ononetin had a good linearity in the concentration range(r＞0.999).The content determination analysis showed that there were sig-nificant differences in the contents of the 5 index components among Spatholobus suberectus from different origins.Conclusion The established TLC and HPLC fingerprints of Spatholobus suberectus were stable and reliable,and the HPLC method for multiple active components method provides scientific support for improving the quality control method of Spatholobus suberectus.

Objective:The aim of this study was to assess the frailty status of patients with heart failure undergoing CRT-D and then explore the predictive value of frailty for all-cause mortality and heart failure-related readmissions in these patients.Methods:We retrospectively included 374 patients with chronic heart failure who underwent CRT-D treatment at the First Affiliated Hospital of Xinjiang Medical University between June 2020 and June 2024. Based on the Tilburg Debilitation Assessment Scale, 175 patients (46.8%) were classified as frail while 199 (53.2%) were classified as non-frail. The baseline data between the two groups was compared using Cox regression analysis and Kaplan-Meier curves were used for survival analysis. P-values of <0.05 indicated statistically significant differences. Results:A total of 374 patients aged 25-93 (68±11) years were enrolled in this study, 101 (27.0%) of which were female. Among these, 175 (46.8%) were categorized as frail, and 199 (53.2%) were classified as non-frail. Over a median follow-up time of 23 (5, 45) months, 35 (9.4%) patients experienced all-cause mortality, with 30 (17.1%) deaths occurring in the frail group and 5 (2.5%) in the non-frail group; meanwhile, readmission events due to heart failure occurred in a total of 174 (46.5%) patients, including 122 (70.1%) in the frail group, and 52 (29.9%) in the non-frail group. Cox analysis showed that frailty was a significant determinant of all-cause mortality ( HR=21.25, 95% CI 3.99-113.30, P<0.001) and readmission among heart failure patients receiving CRT-D ( HR=2.52, 95% CI 1.73-3.68, P<0.001). Log-rank tests showed that the survival rate of patients in the frail group was significantly lower than that of patients in the non-frail group ( HR=7.22, 95% CI 2.80-18.60, P<0.001) and the risk of readmission events due to heart failure was significantly higher among patients in the frail group than among those in the non-frail group ( HR=2.75, 95% CI 1.98-3.81, P<0.001). Conclusions:Frailty is an independent predictor of postoperative all-cause mortality and the occurrence of heart failure-related readmissions in patients with heart failure treated receiving CRT-D.

In order to provide a reference basis for the development of relevant compound preparations， this article takes a comprehensive analysis of the usage and dosage of famous classical formulas in Han dynasty from various perspectives， and gives corresponding countermeasures on this basis. Through the comprehensive analysis of the classification and statistics of Zhongjing's medication characteristics， decoction methods， administration and dosage， and combining conversion methods of weights and measures by ancient medical practitioners， along with the dosage and administration of the listed Han dynasty famous classical formulas， it was found that the "Jiangxi method" served as a general guideline for administration according to Zhongjing's original text. This method allowed for flexible dosing based on the conversion of the ancient measurements to modern equivalents［13.8 g per Liang（两）］， ensuring the safe and effective medication of these formulas. After combing， it is found that although the dosage of single medicine is large in famous classical formulas from Han dynasty， the administration is flexible. The crude drug amount per administration serves as the foundational dose， with the frequency of administration adjusted flexibly according to the condition. This dosing approach becomes the key for the rational development of compound formulations of famous classical formulas. Based on the conclusions of the study， it is recommended that when developing compound formulations of famous classical formulas in Han dynasty， the original administration method and dosage should be respected. The original crude drug amount per administration should be considered as the daily foundational dose， with the frequency of administration described within a range（1 to N times per day， where N is the maximum number of administrations as per the original text）. The specific frequency of administration can be adjusted flexibly by clinical practitioners based on the individual condition. This approach should also be adopted in toxicological studies， where the dosage per administration serves as the basis for toxicity research， and the toxicity profile at the maximum administration frequency should be observed， providing guidance on the clinical safety range. Corresponding drug labels should provide information within a range to indicate toxicological risk intervals.

The famous classical formulae are epitomes of the clinical practice experience created by doctors in history， as an important symbol of traditional Chinese medicine （TCM） theory and clinical treatment approaches， it has been given a new concept connotation and become one of the breakthroughs for the development of TCM in the new era. Due to the limitations of historical literature and different cognitive perspectives of literature research， there are still common problems in determination of the dosage， original materials， processing and decocting method for the famous classical formulae， which hinder its development and registration process. In the history of more than 2 000 years， famous classical formulae have been developed in the continuous clinical application of practice. This paper systematically reviewed the evolution of the concept and history of the famous classical formulae， and introduced the evolution of the famous classical formulae in terms of name， composition， medicine， dosage， decocting method and clinical functions， including the stability of basic prescription composition， differentiation of drug bases， the progress of processing methods， the characteristics of dosages in different historical periods and the expansion of functions. In view of the research of the key information for famous classical formulae， the paper puts forward the suggestion of paying more attention to the evolution of prescriptions in the past dynasties. In textual research， we should combine the changes of medicinal resources， habits of drug use and production technology of the past dynasties， so as to bridge the ancient and modern. As to the dosage selection， we should be based on the weights and measures of all dynasties and current clinical practice to select rational dosage and decocting method. On the basis of inheriting the essence， follows the ancient but not be bounded by it， and solves the common problems in the textual research of key information from the perspective of history and development.

Objective:To establish a predictive model and investigate its value in evaluating short-term prognosis of patients with hepatitis B virus related acute-on-chronic liver failure (HBV-ACLF).Methods:Patients with HBV-ACLF admitted to Tianjin Second People's Hospital and Beijing Youan Hospital, Capital Medical University from May 2015 to October 2018 were enrolled. The data of gender, age, laboratory markers at admission, model for end-stage liver disease (MELD) score and clinical complications were collected for analysis. According to the prognosis on 12-week, patients were divided into survival group and death group. Univariate analysis and binary Logistic regression analysis were used to test the risk factors for short-term prognosis of the patients with HBV-ACLF, and a prediction model was established. The accuracy of each index and the established model were verified by the receiver operating characteristic (ROC) curve.Results:A total of 148 patients with HBV-ACLF were enrolled in the study, 91 cases survived while 57 cases died during the 12-week period. The age, total bilirubin (TBIL), neutrophil percentage (NEUT%), hepatitis B surface antigen (HBsAg), MELD score of death group were higher than those of survival group [age (years old): 50.00 (44.50, 55.00) vs. 43.00 (34.00, 53.00), TBIL (μmol/L): 310.30 (240.70, 405.70) vs. 266.40 (184.20, 360.20), NEUT%: (74.52±13.05)% vs. (66.64±12.35)%, lg HBsAg (kU/L): 3.72 (3.29, 3.92) vs. 2.97 (2.49, 3.78), MELD score: 24.27 (19.71, 27.40) vs. 21.88 (18.83, 24.38), all P < 0.05], while albumin (ALB), total cholesterol (CHO), prothrombin activity (PTA) and alpha-fetoprotein (AFP) were lower than those of survival group [ALB (g/L): 29.80 (27.05, 31.05) vs. 30.80 (28.00, 33.90), CHO (mmol/L): 1.98 (1.50, 2.38) vs. 2.49 (2.05, 3.01), PTA: (30.37±7.09)% vs. (32.94±6.03)%, AFP (μg/L): 21.54 (9.28, 51.54) vs. 66.16 (24.50, 152.80), all P < 0.05]. Logistic regression analysis showed that NEUT%, HBsAg and AFP were independent risk factors for short-term prognosis of patients with HBV-ACLF [odds ratio ( OR) was 77.843, 1.439, 0.995, respectively, all P < 0.05]. According to the results of regression analysis, the NHA-ACLF model (NEUT%+HBsAg+AFP) was established. The formula was logit (NHA-ACLF) = -5.441+5.688×NEUT%+0.430×lg HBsAg-0.005×AFP. The area under the ROC curve (AUC) of the NHA-ACLF model for pred HBV-ACLF patients was 0.790, which was better than NEUT% (AUC = 0.696), lg HBsAg (AUC = 0.670), AFP (AUC = 0.703) and MELD score (AUC = 0.640). When the cut-off value of NHA-ACLF model score was 0.459, the sensitivity was 73.7%, and the specificity was 79.1%. Conclusions:NEUT%, HBsAg and AFP are independent predictive indicator for short-term prognosis in patients with HBV-ACLF. Compared with MELD score, the risk assessment model NHA-ACLF has a greater value in predicting the short-term prognosis of patients with HBV-ACLF.

Objective:To Analyze the clinical features and influencing factors of elderly patients with new coronavirus pneumonia (COVID-19) and provide reference for clinical diagnosis and treatment.Methods:A retrospective analysis was performed for 109 inpatients diagnosed with COVID-19, including 39 in the elderly group and 70 in the non-elderly group, and the clinical data and prognosis of the two groups were compared.Results:The incidence of severe and critical cases in the elderly group was higher than that in the non-elderly group [48.7% (19/39)] vs.[15.7%(11/70)], P=0.032. The proportion of patients with chronic underlying diseases in the elderly group was significantly higher than that in the non-elderly group [84.6% (33/39)] vs. [30% (21/70)], P=0.003. There were 15 cases with chest tightness in the elderly group (38.5%), 12 cases of wheezing (30.8%) which were significantly higher than those in the non-elderly group. The laboratory examination tests of elderly groups showed a significantly lower absolute count of peripheral blood lymphocytes than non-elderly groups, and there was a significant difference ( P=0.029), and C-reactive protein and Neutrophil-to-lymphocyte ratio (NLR) were significantly higher in the elderly group than that of non-elderly groups ( P<0.001). The abnormal value of alanine aminotransferase (ALT), aspartate aminotransferase (AST), Albumin (ALB), creatinine (CREA), creatine kinase (CK), myoglobin (MYO) in the elderly group were higher than those in the non-elderly group ( P<0.05). Age, underlying disease, NLR are independent risk factors affecting prognosis. Conclusions:Elderly patients with the COVID-19 often have multiple underlying diseases, if the rates of laboratory lymphocyte count, C-reactive protein, liver and kidney function and myocardial enzyme spectrum abnormalities increased more obviously, the patients are more likely to develop into severe and critical status. Factors affecting the prognosis include age greater than 60 years, presence of underlying disease and serum NLR levels.

Objective: To investigate the association between genetic variation of kinase insert domain receptor (KDR) and the prognosis in colorectal cancer (CRC) patients received 5-FU based adjuvant chemotherapy. Methods: The clinical data of 176 CRC patients, who underwent surgical treatment at the Department of Anus and Intestine Surgery, People’s Hospital of Zhengzhou during January 2012 and December 2017, were retrospectively analyzed, and 93 cases of tumor tissues were collected for this study. The genotype of KDR polymorphism locus was detected by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). qPCR was used to detect the expression of KDR mRNAin colorectal cancer tissues. The correlation between the polymorphism genotypes and other variables was analyzed by logistic regression model. The expression of different genotypes of KDR was analyzed by nonparametric test. The relationship between KDR genotype and prognosis of patients was analyzed by Kaplan-Meier survival analysis, and the other variables were adjusted by Cox risk scale model. Results: Of the polymorphisms analyzed, only rs2071559 was of clinical significance. The distribution frequency of KDR rs2071559 in 176 CRC patients was as follows: TT genotype in 95 cases (53.98%), TC genotype in 70 cases (39.77%) and CC genotype in 11 cases (6.25%); the minor allele frequency was 0.26; and the distribution of three genotypes was in accordance with Hardy-Weinberg's Equilibrium (P=0.690). The median disease free survival (mDFS) of patients carrying C allele and wild type TT genotype was 4.4 and 3.2 years, respectively (P<0.05); The median overall survival (mOS) of patients with TC/CC genotype and TT genotype was 5.2 and 4.0 years, respectively (P<0.05). After COX model modification, the effect of TC/CC genotype on mOS was still statistically significant (OR=0.55, P<0.05). The mRNA expression of KDR in cancer tissues of the patients with TC/CC genotypes were significantly lower than those of the wild type TT genotype (P<0.01). Conclusion: The polymorphism of KDR rs2071559 is associated with clinical outcomes in patients with colorectal cancer. KDR rs2071559 may affect the prognosis of colorectal cancer patients by affecting the mRNAexpression of KDR.

BACKGROUND: If high-intensity resistance training is used as a rehabilitation measure after musculoskeletal injury, it may be aggravated by factors such as pain. The blood flow restriction training can achieve high-intensity resistance training through low-intensity resistance training, which can accelerate the recovery of patients. OBJECTIVE: To elaborate the current situation of blood flow restriction training as a new way to accelerate musculoskeletal rehabilitation at home and abroad. METHODS: The first author searched the related studies on the musculoskeletal rehabilitation of blood flow restriction training included in PubMed, Cochrane Library and CNKI from January 2002 to October 2018. The keywords were "blood flow restriction training; Kaatsu training; low intensity resistance training; safety; musculoskeletal rehabilitation; knee osteoarthritis; patellofemoral pain; knee joint injury; ankle joint injury; quantitative difference" in English and Chinese. RESULTS AND CONCLUSION: Blood flow restriction training, as a new treatment method, can reduce the training load and achieve the effect similar to the high-intensity resistance training by designing an individualized and precise rehabilitation scheme. Additionally, it can make the resistance training happen in advance due to its unique advantage, thus contribute to rapid rehabilitation. However, this method is mostly applied to lower limb injuries, and its feasibility for other parts still needs a further investigation.