Objective To synthesize of water-solubility derivant of 6,7,4′- trihydroxyisoflavone(T2 ),to characterize its structure and to evaluate its anti-tumor activity.Methods The sulfonic group(-SO3 H)was grafted to 3'position in loop B of T2 through sulfonation reaction,then strong aqua was added to above production,and obtained a water-solubility elevated compound named T2-SO3 (NH4 )2 through ammoniation.The construction of T2-SO3 (NH4 )2 was characterized by 1 H-NMR,13 C NMR,MS and element analysis.Its activity for killing human breast cancer cells (Hela)was analyzed by CCK-8 assay and flow cytometry.Re-sults The two kinds of water-solubility derivant of T2-SO3 H·2H2 O and T2-SO3 (NH4 )2 were obtained through above methods, and their yield rates were 96% and 75% respectively.The biological experiments showed that the anti-tumor activity of T2-SO3 (NH4 )2 was significantly enhanced.Conclusion Compared to T2,T2-SO3 (NH4 )2 exhibit higher biocompatibility and anti-tumor activity with vast biological application prospect.

Objective:To investigate the clinical outcomes of arthroscopic adhesiolysis on patients with primary frozen shoulder and its effect on shoulder joint function.Methods:The clinical data of 54 patients with primary frozen shoulder who visited Civil Aviation General Hospital from March 2017 to July 2018 were retrospectively analyzed. According to different treatment regimens, the patients were divided into a study group and a control group, with 27 patients in each group, there were 11 males and 43 females, aged (47.6±3.4) years, and the age ranged from 41 to 64 years. Patients in the control group were treated with conventional conservative treatment measures, and patients in the study group were treated with loose adhesion under arthroscope on the basis of the control group. The shoulder joint activity (range of motion angles for flexion, abduction and lateral rotation), Constant score, UCLA score and VAS score as well as the complications of the two groups were compared. The measurement data were expressed as mean±standard deviation ( Mean± SD), the t test was used for comparison between groups. The count data were expressed as percentage and the chi-square test was used for comparison between groups. Results:In the study group, postoperative anterior flexion, abduction, lateral external rotation were (160.2±20.7)°, (163.6±20.1)°, (50.5±8.9)°, respectively. The patients in the control group experienced (119.5±19.5)° of anterior flexion, (121.2±19.5)° of abduction, (35.6±6.4)° of lateral external rotation. After treatment, the activity of the shoulder joint in the study group was significantly better than that in the control group, there were statistically significant differences between the two groups( P<0.05). In the study group, the postoperative Constant score was (83.1± 9.3) scores, VAS score was (2.8±0.3) scores, UCLA score was (31.7±3.1) scores; in the control group, the postoperative Constant score was (71.7±9.7) scores, VAS score was (4.4±0.3) scores, UCLA score was (22.8±3.6) scores ( P<0.05). Compared with the control group, the Constant score and UCLA score in the study group were significantly higher, and the VAS score was significantly lower, differences were statistically significant( P<0.05). The difference in the incidence of complications between the two groups was not statistically significant ( P>0.05). Conclusions:For patients with primary frozen shoulder, arthroscopic adhesiolysis can significantly improve the shoulder function of patients. At the same time, this operation has significant clinical treatment effect, which is conducive to the clinical application and promotion.

Objective:To explore the correlation between the anatomical features of shoulder joint and the re-tear rate after surgical repair for small and medium-sized rotator cuff tears.Methods:From June 2017 to June 2019, 55 patients who were diagnosed with small or medium-sized rotator cuff tears and treated with arthroscopic single-row repair were enrolled. Demographics including age, sex, disease course, history of smoking and diabetes mellitus, re-tear rates, Constant-Murley score, University of California, Los Angeles score (UCLA) at 6-month, 1-year, 2-year and 3-year after operation were collected. Postoperative critical shoulder angle (CSA) and acromial index (AI) were measured and calculated based on CT scan. The patients were divided into two groups: patients who got re-tear history during follow-up were included into endpoint re-tear (ER) group, and those who got no re-tear history during follow-up were included into endpoint non-tear (EN) group. One-way Anova was used to compare the CSA\AI among different follow-up point. Fisher's exact test was used to compare sex, morbidity of smoking and diabetes between the ER and EN groups. Two independent samples t-test were used to compare age, disease course, CSA and AI at 1-day after operation, functional scores at each follow-up point between the two groups. Binomial logistic regression analysis was performed to test CSA and AI at 1-day after operation as the risk factors of rotator cuff re-tear at 6-month, 1-year, 2-year and 3-year after operation. The predictive efficacy of CSA and AI at 1-day after operation on re-tear rate at 3-year after operation were evaluated by receiver operating characteristic (ROC) curves, Pearson correlation analysis was used to evaluate the correlation between postoperative CSA/AI and postoperative functional recovery. Results:The CSA and AI of ER group were insignificantly different among all follow-up point ( P>0.05), the CSA and AI of EN group were significantly different among all follow-up point ( F=14.163, P<0.001; F=4.635, P<0.001). The re-tear rates at 6-month, 1-year, 2-year and 3-year after operation were 3.6%, 7.3%, 12.7%, 18.2%. The Constant-Murley score and UCLA scores of ER group at 3-year after operation were 93.60±2.84 and 32.30±1.49, respectively while in EN group, they were 92.11±4.10 and 33.18±1.27, respectively, there were no difference of the Constant-Murley score and UCLA score between ER and EN group at 3-year after operation ( P>0.05). CSA at 1-day after operation was the risk factor to re-tear at 1-year, 2-year and 3-year after operation [ OR=4.622, 95% CI (1.01, 21.06), P=0.048; OR=7.071, 95% CI (1.52, 32.87), P=0.013; OR=3.40, 95% CI (1.42, 8.12), P=0.006]. CSA and AI at 1-day after operation had certain predictive efficacy for rotator cuff re-tear at 3-year after rehabilitation, and CSA was more specific than AI, the optimal cutoff values of CSA and AI at 1-day after operation for predicting rotator cuff re-tear at 3-year after operation were 35.3°and 0.69, the AUC were 0.87 [ OR=3.40, 95% CI (1.42, 8.12), P<0.001]、0.77 [ OR=1.33, 95% CI (0.87, 2.02), P=0.008] respectively. CSA and AI had no relationship with postoperative functional recovery. Conclusion:Greater CSA and AI were predictive factors of small and medium-sized rotator cuff re-tear 1-3 years after surgery with CSA being more specific than AI. However, CSA and AI had no relationship with postoperative functional recovery.

Objective:To investigate the correlation between anatomical features of shoulder joint and postoperative stiffness after rotator cuff repair.Methods:212 patients diagnosed with rotator cuff injury undergoing rotator cuff repair in Civil Aviation General Hospital from March 2016 to December 2021 were enrolled. There were 97 male and 115 female with an average age of 58.87±9.69 years old (range, 41-72). The patients were divided into stiffness group (SG) and non-stiffness group (NG) according to the range of shoulder joint motion at 3-month after operation. Preoperative and postoperative joint anatomical features including critical shoulder angle (CSA), acromial index (AI), lateral acromion angle (LAA) were measured and calculated through CT scan and 3-dimension reconstruction. Age, sex, course of disease, body mass index, tendon fatty infiltration degree, type of rotator cuff injury according to DeOrio & Cofield classification, suture method, and preoperative and 3-month postoperative range of shoulder motion (flexion, abduction, and external rotation), preoperative stiffness condition were collected. All factors between two groups were compared, and binomial logistic regression analysis was performed to find out the risk factors of postoperative joint stiffness. Receiver operating characteristic (ROC) curves were plotted to evaluate the predictive efficacy of postoperative CSA, AI, and LAA for postoperative joint stiffness.Results:43 patients were enrolled in SG and 169 patients were enrolled in NG. Age, sex, course of disease, body mass index, tendon fatty infiltration degree, type of rotator cuff injury according to DeOrio & Cofield classification, suture method, and preoperative range of shoulder motion (flexion, abduction, and external rotation) between two groups were insignificantly different ( P>0.05). The ratio of patients with preoperative stiffness in SG is higher than that in NG (χ 2=40.38, P<0.001). Postoperative CSA and AI of SG were greater than those of NG ( t=5.44, P<0.001; t=4.89, P<0.001), and postoperative LAA of SG was smaller than that of NG group ( t=-5.86, P<0.001). Preoperative stiffness, large postoperative AI and small postoperative LAA were all risk factors of joint stiffness after rotator cuff suture [ OR=9.32, 95% CI(3.44, 25.27), P<0.001; OR=2.39, 95% CI(1.58, 3.62), P<0.001; OR=0.64, 95% CI(0.46, 0.91), P=0.012]. Postoperative CSA, AI and LAA had a certain predictive effect on postoperative joint stiffness (AUC>0.70). LAA was the most sensitive factor and CSA was the most specific factor. The optimal cutoff values of CSA, AI and LAA were 34.4°, 0.70 and 74.5° respectively, and the AUC for predicting postoperative joint stiffness were 0.76 [ OR=0.98, 95% CI(0.69, 0.84), P<0.001]、0.78[ OR=2.39, 95% CI(0.70, 0.84), P<0.001]、0.76[ OR=0.64, 95% CI(0.68, 0.83), P<0.001]. Conclusion:Postoperative CSA, AI and LAA had predictive efficacy on joint stiffness after rotator cuff repair. The greater postoperative CSA and AI or smaller postoperative LAA indicates increased risk of postoperative joint stiffness. LAA was the most sensitive factor and CSA was the most specific factor.

Objective:To investigate the risk factors for postoperative stiffness following rotator cuff repair and to develop a predictive risk assessment model.Methods:A retrospective analysis was conducted on 251 patients (111 males and 140 females) who underwent rotator cuff repair at the Department of Orthopedics, Civil Aviation General Hospital, from June 2016 to December 2022. Patients were divided into two groups based on the time of admission: the modeling group, comprising patients treated from June 2016 to June 2021, was used to construct the risk assessment model, while the validation group, including those treated from July 2021 to December 2022, was used to evaluate the model's effectiveness. In the modeling group, the incidence of postoperative stiffness one year after surgery was assessed. The study collected data on age, sex, body mass index, disease duration, smoking history, diabetes history, preoperative fat infiltration of the rotator cuff muscles, tear size, suturing technique, preoperative stiffness, re-tear rate, visual analogue scale (VAS) scores at two and six weeks postoperatively, Constant-Murley scores at six weeks postoperatively, and both preoperative and postoperative critical shoulder angle (CSA), acromial index (AI), and lateral acromion angle (LAA). Univariate analysis was used to identify potential risk factors for postoperative stiffness, followed by multivariate logistic regression to construct the risk assessment model. The validation group was used to reassess the identified risk factors.Results:Postoperative stiffness occurred in 21 out of 176 patients in the modeling group. Logistic regression analysis revealed that diabetes history, higher fat infiltration of the rotator cuff muscles, larger tear size, preoperative stiffness, higher VAS score at six weeks postoperatively, and lower Constant-Murley score at six weeks postoperatively were significant risk factors for postoperative stiffness. Based on the logistic regression model, a nomogram was created using R software. In the validation group, postoperative stiffness was observed in 11 out of 75 patients. The area under the ROC curve (AUC=0.926) indicated good discriminative ability in predicting postoperative stiffness. The goodness-of-fit test (H-L test: χ 2=2.215, P=0.947) demonstrated moderate calibration of the model. Conclusion:A history of diabetes, high fat infiltration of the rotator cuff muscles, large or massive rotator cuff tears, preoperative stiffness, higher VAS scores at six weeks postoperatively, and lower Constant-Murley scores at six weeks postoperatively are significant risk factors for postoperative stiffness after rotator cuff repair. The risk assessment model shows good discriminative power and calibration, making it a useful tool for predicting the risk of postoperative stiffness following rotator cuff repair.