ObjectiveTo investigate the differences in clinical efficacy of different medication regimens of Wangbi Tablets （尪痹片） for knee osteoarthritis （KOA） in a real-world setting， providing a basis for rational clinical use of Wangbi Tablets. MethodsA prospective registry study was conducted， involving 2，999 KOA patients registered in 30 hospitals nationwide from January 26th， 2019， to December 17th， 2021. Based on the use of Wangbi Tablets during the observation period， patients were divided into a monotherapy group （1，507 cases） and a combination therapy group （1，492 cases）， and the combination group can be further divided into Wangbi Tablets plus Chinese medicine （CM）， Wangbi Tablets plus western medicine （WM）， and Wangbi Tablets plus Chinese and western medicine （CM+WM） subgroups. The baseline data of patients in the monotherapy group and the combination group were compared， including age， gender， body weight， medication time， clinical stage， K-L grade， and others. Efficacy indicators included the Visual Analog Scale （VAS） score， Western Ontario and McMaster Universities Osteoarthritis Index （WOMAC） score， and EuroQol five-dimensional （EQ-5D） health index， which were evaluated before and after 4-， 8- and 12-week treatment， and the difference before and after treatment was calculated after 4， 8 and 12 weeks of treatment. The difference between the baseline and 12 weeks of treatment of all the above indicators was used as the dependent variables， and gender， age， body mass index （BMI）， course of disease， K-L grade， and clinical stage were used as independent variables， when multiple linear regression was taken to explore the influencing factors of the efficacy. At the same time， the occurrence of major symptoms （including morning stiffness， joint swelling， soreness of waist and knees， fear of wind， and fear of cold） was counted， and the disappearance of symptoms at each time point was counted after 4， 8， and 12 weeks of treatment. ResultsAt baseline， there were no statistically significant differences in gender and age distribution between the monotherapy and combination therapy groups （P＞0.05）； the proportion of patients in the acute stage and recovery stage was higher in the monotherapy group than in the combination therapy group， while the proportion in the remission stage was lower （P＜0.05）； the VAS score was higher in the monotherapy group， and the EQ-5D index was lower （P＜0.01）， with no statistically significant difference in total WOMAC score between the two groups （P＞0.05）. Compared to those measured before treatment and at previous timepoint， the VAS score and WOMAC total score significantly decreased in both groups， while EQ-5D value increased （P＜0.05）. The difference in VAS score between baseline and after 12-week treatment was higher in the monotherapy group than the combination group， while the differences in WOMAC total score and EQ-5D value between baseline and after 4-， 8- and 12-week treatment were higher in the combination group （P＜0.05）. Multiple linear regression showed that VAS score before treatment had greatest impact on pain improvement （P＜0.01）， and compared to Wangbi Tablets monotherapy， the combination of Wangbi tablets with WM or CM had larger associations with pain improvement （P＜0.05）； and Wangbi Tablets had better efficacy when the course of treatment was ＞28 days （P＜0.01）. Wangbi Tablets plus WM had a better effect on improving the overall function of the knee joint than Wangbi Tablets alone （P＜0.01）； and the efficacy of Wangbi Tablets with a course of treatment ＞28 days was better （P＜0.05）. The improvement of quality of life of patients in the attack and remission stages was more obvious than that in the recovery stage （P＜0.01）； Wangbi Tablets plus WM or CM had a better effect on improving quality of life than Wangbi Tablets alone （P＜0.05）. Before treatment， the proportion of patients with morning stiffness， soreness of waist and knees， fear of wind and chills in the monotherapy group was higher than that in the combination group （P＜0.01）. The proportion of main symptoms in both groups decreased after 4， 8 and 12 weeks of treatment （P＜0.05）. After 4 weeks of treatment， the disappearance rate of each main symptom in the combination group was higher than that in the monotherapy group， and after 12 weeks of treatment， the disappearance rate of fear of wind in the monotherapy group was higher than that in the combination group， while the disappearance rate of joint swelling and soreness of waist and knees was lower （P＜0.05）. ConclusionWangbi Tablets， whether used alone or in combination with other medications， is effective throughout the course of KOA， with greater benefits in improving joint function and quality of life during the acute and remission stages compared to the recovery stage. Combination therapy had a faster onset of effect， but began to converge with monotherapy after 8 weeks. The best efficacy was observed with the combination of Wangbi Tablets with WM， followed by combination with CM.

Breast implant-associated anaplastic large cell lymphoma (BIA-ALCL) is a rare type of T-cell lymphoma. Despite the scarcity of reported BIA-ALCL cases in Asia, it is imperative to research early diagnosis. The crucial diagnostic criteria for BIA-ALCL include the presence of ALK - and CD30 + T cells exceeding 10% in the delayed seroma fluid. Furthermore, laboratory tests, such as histological examination of capsulectomies and analysis of clonal T-cell receptor (TCR) gene rearrangements, serve as important auxiliary diagnostic indicators. This article reported the case of a 56-year-old female patient who underwent bilateral breast augmentation with implants over 20 years ago. She presented with hardness, enlargement, and mild discomfort in her left breast. She was admitted to Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine in January 2023. MRI suggested implant rupture. Therefore, bilateral implant removal surgery was performed on February 2, 2023. Pathological examination of the fluid within the capsule of the left implant revealed a small number of ALK - and CD30 + T cells, with monoclonality observed in TCRγ gene rearrangement, indicating early changes suggestive of BIA-ALCL. Long-term follow-up is needed. The authors suggest that patients suspected of BIA-ALCL should undergo TCR gene rearrangement testing in addition to cytological and immunological examinations, which can provide guidance for the diagnosis, treatment, and necessary long-term follow-up of these patients.

Objective:To investigate the incidence of postoperative complications in Chinese patients with gastric or colorectal cancer, and to evaluate the risk factors for postoperative complications.Methods:This was a national, multicenter, prospective, registry-based, cohort study of data obtained from the database of the Prevalence of Abdominal Complications After Gastro- enterological Surgery (PACAGE) study sponsored by the China Gastrointestinal Cancer Surgical Union. The PACAGE database prospectively collected general demographic characteristics, protocols for perioperative treatment, and variables associated with postoperative complications in patients treated for gastric or colorectal cancer in 20 medical centers from December 2018 to December 2020. The patients were grouped according to the presence or absence of postoperative complications. Postoperative complications were categorized and graded in accordance with the expert consensus on postoperative complications in gastrointestinal oncology surgery and Clavien-Dindo grading criteria. The incidence of postoperative complications of different grades are presented as bar charts. Independent risk factors for occurrence of postoperative complications were identified by multifactorial unconditional logistic regression.Results:The study cohort comprised 3926 patients with gastric or colorectal cancer, 657 (16.7%) of whom had a total of 876 postoperative complications. Serious complications (Grade III and above) occurred in 4.0% of patients (156/3926). The rate of Grade V complications was 0.2% (7/3926). The cohort included 2271 patients with gastric cancer with a postoperative complication rate of 18.1% (412/2271) and serious complication rate of 4.7% (106/2271); and 1655 with colorectal cancer, with a postoperative complication rate of 14.8% (245/1655) and serious complication rate of 3.0% (50/1655). The incidences of anastomotic leakage in patients with gastric and colorectal cancer were 3.3% (74/2271) and 3.4% (56/1655), respectively. Abdominal infection was the most frequently occurring complication, accounting for 28.7% (164/572) and 39.5% (120/304) of postoperative complications in patients with gastric and colorectal cancer, respectively. The most frequently occurring grade of postoperative complication was Grade II, accounting for 65.4% (374/572) and 56.6% (172/304) of complications in patients with gastric and colorectal cancers, respectively. Multifactorial analysis identified (1) the following independent risk factors for postoperative complications in patients in the gastric cancer group: preoperative comorbidities (OR=2.54, 95%CI: 1.51-4.28, P<0.001), neoadjuvant therapy (OR=1.42, 95%CI:1.06-1.89, P=0.020), high American Society of Anesthesiologists (ASA) scores (ASA score 2 points:OR=1.60, 95% CI: 1.23-2.07, P<0.001, ASA score ≥3 points:OR=0.43, 95% CI: 0.25-0.73, P=0.002), operative time >180 minutes (OR=1.81, 95% CI: 1.42-2.31, P<0.001), intraoperative bleeding >50 mL (OR=1.29,95%CI: 1.01-1.63, P=0.038), and distal gastrectomy compared with total gastrectomy (OR=0.65,95%CI: 0.51-0.83, P<0.001); and (2) the following independent risk factors for postoperative complications in patients in the colorectal cancer group: female (OR=0.60, 95%CI: 0.44-0.80, P<0.001), preoperative comorbidities (OR=2.73, 95%CI: 1.25-5.99, P=0.030), neoadjuvant therapy (OR=1.83, 95%CI:1.23-2.72, P=0.008), laparoscopic surgery (OR=0.47, 95%CI: 0.30-0.72, P=0.022), and abdominoperineal resection compared with low anterior resection (OR=2.74, 95%CI: 1.71-4.41, P<0.001). Conclusion:Postoperative complications associated with various types of infection were the most frequent complications in patients with gastric or colorectal cancer. Although the risk factors for postoperative complications differed between patients with gastric cancer and those with colorectal cancer, the presence of preoperative comorbidities, administration of neoadjuvant therapy, and extent of surgical resection, were the commonest factors associated with postoperative complications in patients of both categories.

Objective:To investigate the incidence of postoperative complications in Chinese patients with gastric or colorectal cancer, and to evaluate the risk factors for postoperative complications.Methods:This was a national, multicenter, prospective, registry-based, cohort study of data obtained from the database of the Prevalence of Abdominal Complications After Gastro- enterological Surgery (PACAGE) study sponsored by the China Gastrointestinal Cancer Surgical Union. The PACAGE database prospectively collected general demographic characteristics, protocols for perioperative treatment, and variables associated with postoperative complications in patients treated for gastric or colorectal cancer in 20 medical centers from December 2018 to December 2020. The patients were grouped according to the presence or absence of postoperative complications. Postoperative complications were categorized and graded in accordance with the expert consensus on postoperative complications in gastrointestinal oncology surgery and Clavien-Dindo grading criteria. The incidence of postoperative complications of different grades are presented as bar charts. Independent risk factors for occurrence of postoperative complications were identified by multifactorial unconditional logistic regression.Results:The study cohort comprised 3926 patients with gastric or colorectal cancer, 657 (16.7%) of whom had a total of 876 postoperative complications. Serious complications (Grade III and above) occurred in 4.0% of patients (156/3926). The rate of Grade V complications was 0.2% (7/3926). The cohort included 2271 patients with gastric cancer with a postoperative complication rate of 18.1% (412/2271) and serious complication rate of 4.7% (106/2271); and 1655 with colorectal cancer, with a postoperative complication rate of 14.8% (245/1655) and serious complication rate of 3.0% (50/1655). The incidences of anastomotic leakage in patients with gastric and colorectal cancer were 3.3% (74/2271) and 3.4% (56/1655), respectively. Abdominal infection was the most frequently occurring complication, accounting for 28.7% (164/572) and 39.5% (120/304) of postoperative complications in patients with gastric and colorectal cancer, respectively. The most frequently occurring grade of postoperative complication was Grade II, accounting for 65.4% (374/572) and 56.6% (172/304) of complications in patients with gastric and colorectal cancers, respectively. Multifactorial analysis identified (1) the following independent risk factors for postoperative complications in patients in the gastric cancer group: preoperative comorbidities (OR=2.54, 95%CI: 1.51-4.28, P<0.001), neoadjuvant therapy (OR=1.42, 95%CI:1.06-1.89, P=0.020), high American Society of Anesthesiologists (ASA) scores (ASA score 2 points:OR=1.60, 95% CI: 1.23-2.07, P<0.001, ASA score ≥3 points:OR=0.43, 95% CI: 0.25-0.73, P=0.002), operative time >180 minutes (OR=1.81, 95% CI: 1.42-2.31, P<0.001), intraoperative bleeding >50 mL (OR=1.29,95%CI: 1.01-1.63, P=0.038), and distal gastrectomy compared with total gastrectomy (OR=0.65,95%CI: 0.51-0.83, P<0.001); and (2) the following independent risk factors for postoperative complications in patients in the colorectal cancer group: female (OR=0.60, 95%CI: 0.44-0.80, P<0.001), preoperative comorbidities (OR=2.73, 95%CI: 1.25-5.99, P=0.030), neoadjuvant therapy (OR=1.83, 95%CI:1.23-2.72, P=0.008), laparoscopic surgery (OR=0.47, 95%CI: 0.30-0.72, P=0.022), and abdominoperineal resection compared with low anterior resection (OR=2.74, 95%CI: 1.71-4.41, P<0.001). Conclusion:Postoperative complications associated with various types of infection were the most frequent complications in patients with gastric or colorectal cancer. Although the risk factors for postoperative complications differed between patients with gastric cancer and those with colorectal cancer, the presence of preoperative comorbidities, administration of neoadjuvant therapy, and extent of surgical resection, were the commonest factors associated with postoperative complications in patients of both categories.

Breast implant-associated anaplastic large cell lymphoma (BIA-ALCL) is a rare type of T-cell lymphoma. Despite the scarcity of reported BIA-ALCL cases in Asia, it is imperative to research early diagnosis. The crucial diagnostic criteria for BIA-ALCL include the presence of ALK - and CD30 + T cells exceeding 10% in the delayed seroma fluid. Furthermore, laboratory tests, such as histological examination of capsulectomies and analysis of clonal T-cell receptor (TCR) gene rearrangements, serve as important auxiliary diagnostic indicators. This article reported the case of a 56-year-old female patient who underwent bilateral breast augmentation with implants over 20 years ago. She presented with hardness, enlargement, and mild discomfort in her left breast. She was admitted to Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine in January 2023. MRI suggested implant rupture. Therefore, bilateral implant removal surgery was performed on February 2, 2023. Pathological examination of the fluid within the capsule of the left implant revealed a small number of ALK - and CD30 + T cells, with monoclonality observed in TCRγ gene rearrangement, indicating early changes suggestive of BIA-ALCL. Long-term follow-up is needed. The authors suggest that patients suspected of BIA-ALCL should undergo TCR gene rearrangement testing in addition to cytological and immunological examinations, which can provide guidance for the diagnosis, treatment, and necessary long-term follow-up of these patients.

Objective:To construct a predictive model for intensive care unit (ICU) and in-hospital mortality risk in patients with traumatic brain injury (TBI) and validate its performance.Methods:A retrospective cohort study was conducted to analyze the clinical data of 3 907 patients with TBI published until May 2018 in the eICU Collaborative Research Database v2.0 (eICU-CRD v2.0), including 2 397 males and 1 510 females, aged 18-92 years [63.0(43.0, 79.0)years]. According to whether the patients died in ICU or at hospital stay, they were divided into ICU survival group ( n=3 575) and ICU mortality group ( n=332), and hospital survival group ( n=3 413) and hospital mortality group ( n=494). The general data, admission diagnosis, laboratory tests, therapeutic interventions, and clinical outcomes were extracted as variables of interest. Univariate analysis and multivariate Logistic regression analysis were conducted on both the survival groups and the mortality groups to identify the independent risk factors that affect ICU and in-hospital mortality in TBI patients, based on which a Logistic regression prediction model was constructed and represented by Nomograms. The extracted dataset was randomly divided into training set ( n=2 735) and validation set ( n=1 172) with a ratio of 7∶3, and was applied for internal validation of the of the predictive model. Meanwhile, the data of TBI patients in the MIMIC-III v1. 4 database were extracted for external validation of the predictive model. The area under the curve (AUC) of the receiver operating characteristic (ROC) curve was used for discriminability evaluation of the model, and the Hosmer-Lemeshow (H-L) goodness of fit test and calibration curve were used for calibration evaluation of the model. Results:The statistically significant variables identified in the univariate analysis were included in the multivariate logistic regression analysis of ICU mortality and in-hospital mortality risk. The results revealed that acute physiology and chronic health evaluation IV (APACHE IV) score ( OR=1.04, 95% CI 1.03, 1.04, P<0.01), Glasgow coma scale (GCS) ( OR=0.66, 95% CI 0.59, 0.73, P<0.01), cerebral hernia formation ( OR=6.91, 95% CI 3.13, 15.26, P<0.01), international normalized ratio (INR) ( OR=1.33, 95% CI 1.09, 1.62, P<0.01), use of hypertonic saline ( OR=0.45, 95% CI 0.21 0.94, P<0.05), and use of vasoactive agents ( OR=2.19, 95% CI 1.36, 3.52, P<0.01) were independent risk factors for ICU mortality in TBI patients. The age (with 10 years as a grade) ( OR=1.28, 95% CI 1.17, 1.40, P<0.01), APACHE IV score ( OR=1.03, 95% CI 1.02, 1.04, P<0.01), GCS ( OR=0.75, 95% CI 0.71, 0.80, P<0.01), cerebral hernia formation ( OR=6.44, 95% CI 2.99, 13.86, P<0.01), serum creatinine level ( OR=1.07, 95% CI 1.01, 1.15, P<0.05), INR ( OR=1.49, 95% CI 1.20, 1.85, P<0.01), use of hypertonic saline ( OR=0.41, 95% CI 0.21, 0.80, P<0.01), and use of vasoactive agents ( OR=2.27, 95% CI 1.46, 3.53, P<0.01) were independent risk factors of in-hospital mortality of TBI patients. Based on the forementioned independent risk factors for ICU mortality, the model equation was constructed: Logit P (ICU)=7.12+0.03×"APACHE IV score"-0.42×"GCS"+1.93×"cerebral hernia formation"+0.28×"INR"-0.81×"use of hypertonic saline"+0.79×"use of vasoactive agents". Based on the forementioned independent risk factors for in-hospital mortality, the model equation was constructed: Logit P (in-hospital)=2.75+0.25×"age"(with 10 years as a grade)+0.03×"APACHE IV score"-0.28×"GCS"+1.86×"cerebral hernia formation"+0.07×"serum creatinine level"+0.40×"INR"-0.90×"use of hypertonic saline"+0.82×"use of vasoactive agents". In the prediction model for ICU mortality, the AUC of the training set and validation set was 0.95 (95% CI 0.94, 0.97) and 0.91 (95% CI 0.87, 0.95). The result of H-L goodness of fit test of the training set was P=0.495 with the average absolute error in the calibration curve of 0.003, while the result of H-L goodness of fit test of the validation set was P=0.650 with the average absolute error in the calibration curve of 0.012. In the prediction model for in-hospital mortality, the AUC of the training set and validation set was 0.91 (95% CI 0.89, 0.93) and 0.91(95% CI 0.88, 0.94). The result of H-L goodness of fit test of the training set was P=0.670 with the average absolute error in the calibration curve of 0.006, while the result of H-L goodness of fit test of the validation set was P=0.080 with the average absolute error in the calibration curve of 0.021. In the external validation set of ICU mortality risk, the AUC of the prediction model was 0.88 (95% CI 0.86, 0.90), while the result of H-L goodness of fit test was P=0.205 with the average absolute error in the calibration curve of 0.031. In the external validation set of in-hospital mortality risk, the AUC of the prediction model was 0.88 (95% CI 0.85, 0.91), while the result of H-L goodness of fit test was P=0.239 with the average absolute error in the calibration curve of 0.036. The internal and external validation of the model indicated that both the prediction models for ICU and in-hospital mortality had good discriminability and calibration. Conclusion:The ICU mortality prediction model constructed by APACHE IV score, GCS, cerebral hernia formation, use of hypertonic saline, vasoactive agents use of and INR, and the in-hospital mortality prediction model constructed by age grading, APACHE IV score, GCS, cerebral hernia formation, serum creatinine level, hypertonic saline use of, use of vasoactive agents and INR can predict the mortality risk of TBI patients well.

Objective:To evaluate incision scars of transaxillary breast augmentation by different methods of scar assessment.Methods:A retrospective study was carried out on 30 patients (age range 20 to 50 years, with mean age of 32 years) who underwent endoscopic assisted transaxillary type Ⅰ dual plane breast implant augmentation by a same surgeon from August 2014 to November 2016. Scars were estimated by 3 methods which included Vancouver Scar Scale (VSS), Visual Assessment Scale (VAS) and patients' questionnaire.Results:VAS score for left side scars ranged from 0 to 8 and the median was 1. VAS score for right side scars ranged from 0 to 8.3 and the median was 1. A total of 48 scars were scored in the 0-2 point range, representing 80% of the 60 total. VSS score for left side scars ranged from 0 to 11.6 and the median was 0.8. VSS score for right side scars ranged from 0 to 11.3 and the median was 1.2. A total of 46 scars were scored in the 0-2 point range, representing 76.7% of the total 60 breats. The scores between VSS and VAS had significant statistical differences ( P<0.001). 80.0% of our patients regarded scars as unconspicuous or basically invisible in our questionnaire. Conclusions:The majority of transaxillary incision scars recover in favorable status with high patients satisfactory rate. VAS is a practical tool for evaluating transaxillary incision scars. The VSS score is not equivalent to the VAS score when grading scars only by photos.

Inflammation-driven endothelial dysfunction is the major initiating factor in atherosclerosis, while the underlying mechanism remains elusive. Here, we report that the non-canonical stimulator of interferon genes (STING)-PKR-like ER kinase (PERK) pathway was significantly activated in both human and mice atherosclerotic arteries. Typically, STING activation leads to the activation of interferon regulatory factor 3 (IRF3) and nuclear factor-kappa B (NF-κB)/p65, thereby facilitating IFN signals and inflammation. In contrast, our study reveals the activated non-canonical STING-PERK pathway increases scaffold protein bromodomain protein 4 (BRD4) expression, which encourages the formation of super-enhancers on the proximal promoter regions of the proinflammatory cytokines, thereby enabling the transactivation of these cytokines by integrating activated IRF3 and NF-κB via a condensation process. Endothelium-specific STING and BRD4 deficiency significantly decreased the plaque area and inflammation. Mechanistically, this pathway is triggered by leaked mitochondrial DNA (mtDNA) via mitochondrial permeability transition pore (mPTP), formed by voltage-dependent anion channel 1 (VDAC1) oligomer interaction with oxidized mtDNA upon cholesterol oxidation stimulation. Especially, compared to macrophages, endothelial STING activation plays a more pronounced role in atherosclerosis. We propose a non-canonical STING-PERK pathway-dependent epigenetic paradigm in atherosclerosis that integrates IRF3, NF-κB and BRD4 in inflammatory responses, which provides emerging therapeutic modalities for vascular endothelial dysfunction.

Objective:To investigate the influencing factors of recurrence after radical resection of middle and low rectal cancer, and to establish a prediction model based on magnetic resonance imaging (MRI) measurement of perirectal fat content and investigate its application value.Methods:The retrospective cohort study was constructed. The clinicopathological data of 254 patients with middle and low rectal cancer who were admitted to Tianjin Union Medical Center from December 2016 to December 2021 were collected. There were 188 males and 66 females, aged (61±9)years. All patients underwent radical resection of rectal cancer and routine pelvic MRI examina-tion. Observation indicators: (1) follow-up and quantitative measurement of perirectal fat content; (2) factors influencing tumor recurrence after radical resection of middle and low rectal cancer; (3) construction and evaluation of the nomogram prediction model of tumor recurrence after radical resection of middle and low rectal cancer. Measurement data with normal distribution were represented as Mean± SD, and measurement data with skewed distribution were represented as M(rang) and M( Q1, Q2). Count data were described as absolute numbers. Univariate and multivariate analyses were conducted using the COX regression model. The rms software package (4.1.3 version) was used to construct the nomogram and calibration curve. The survival software package (4.1.3 version) was used to calculate the C-index. The ggDCA software package (4.1.3 version) was used for decision curve analysis. Results:(1) Follow-up and quantitative measurement of perirectal fat content. All 254 patients were followed up for 41.0(range, 1.0?59.0)months after surgery. During the follow-up period, there were 81 patients undergoing tumor recurrence with the time to tumor recurrence as 15.0(range, 1.0?43.0)months, and there were 173 patients without tumor recurrence. The preoperative rectal mesangial fascia envelope volume, preoperative rectal mesangial fat area, preoperative rectal posterior mesangial thickness were 159.1(68.6,266.5)cm3, 17.0(5.1,34.4)cm2, 1.2(0.4,3.2)cm in the 81 patients with tumor recurrence, and 178.5(100.1,310.1)cm3, 19.8(5.3,40.2)cm2 and 1.6(0.3,3.7)cm in the 173 patients without tumor recurrence. (2) Factors influencing tumor recurrence after radical resection of middle and low rectal cancer. Results of multivariate analysis showed that poorly differentiated tumor, tumor pathological N staging as N1?N2 stage, rectal posterior mesangial thickness ≤1.43 cm, magnetic resonance extra mural vascular invasion, tumor invasion surrounding structures were independent risk factors of tumor recurrence after radical resection of middle and low rectal cancer ( hazard ratio=1.64, 2.20, 3.19, 1.69, 4.20, 95% confidence interval as 1.03?2.61, 1.29?3.74, 1.78?5.71, 1.02?2.81, 2.05?8.63, P<0.05). (3) Construction and evaluation of the nomogram prediction model of tumor recurrence after radical resection of middle and low rectal cancer. Based on the results of multivariate analysis, the tumor differentiation, tumor pathological N staging, rectal posterior mesangial thickness, magnetic resonance extra mural vascular invasion, tumor invasion surrounding structures were included to construct the nomogram predic-tion model of tumor recurrence after radical resection of middle and low rectal cancer. The total score of these index in the nomogram prediction model corresponded to the probability of post-operative tumor recurrence. The C-index of the nomogram was 0.80, indicating that the prediction model with good prediction accuracy. Results of calibration curve showed that the nomogram prediction model with good prediction ability. Results of decision curve showed that the prediction probability threshold range was wide when the nomogram prediction model had obvious net benefit rate, and the model had good clinical practicability. Conclusions:Poorly differentiated tumor, tumor pathological N staging as N1?N2 stage, rectal posterior mesangial thickness ≤1.43 cm, magnetic resonance extra mural vascular invasion, tumor invasion surrounding structures are independent risk factors of tumor recurrence after radical resection of middle and low rectal cancer. Nomogram prediction model based on MRI measurement of perirectal fat content can effectively predict the probability of postoperative tumor recurrence.

Behçet’s syndrome is a kind of chronic systemic vasculitis with involvement of multiple organs. Intestinal involvement of Behçet’s syndrome is presently named as intestinal Behçet’s syndrome (disease). Recently, there is considering another kind of disease type with only typical intestinal ulcers. Since it is difficult to differentiate intestinal Behçet’s syndrome from Crohn’s disease, intestinal tuberculosis, intestinal lymphoma, as well as intestinal manifestations of many other autoimmune diseases, and there is limited evidence for the therapy of intestinal Behçet’s syndrome, proposing diagnosis and treatment recommendations for intestinal Behçet’s syndrome through evidence-based judgment will be of great significance for clinical practice.