Objective:To identify independent risk factors for early recurrence following curative resection of resectable pancreatic cancer and establish a nomogram prediction model.Methods:Clinical data from 405 patients with resectable pancreatic cancer treated at Renji Hospital, Shanghai Jiao Tong University School of Medicine from February 2010 to December 2020 were retrospectively reviewed. Patients were stratified into a training cohort (265 patients form February 2010 to December 2018) and a validation cohort (140 patients from January 2019 to December 2020) based on surgery dates. Optimal cutoff values for clinical variables were determined using X-tile software. Independent risk factors were identified through univariate and multivariate Cox proportional hazards regression analyses. Kaplan-Meier curves for recurrence-free survival (RFS) were generated across subgroups, and a nomogram was developed to predict early recurrence (within 1 year post-surgery). Time-dependent receiver operating characteristic (tROC) curves was drawn and area under the curve (AUC) metrics were utilized to evaluate predictive accuracy, while model reliability was assessed by calibration curves. Individualized risk scores derived from the nomogram were stratified into high- and low-risk groups using X-tile-derived cutoff values. Survival differences between groups were analyzed via log-rank tests. The clinical application value was judged by decision curve analysis (DCA) compared to TNM staging. Results:In the training cohort, 139 patients (52.45%) experienced early recurrence, with a median RFS of 11.1 months [interquartile range ( IQR): 6.0-26.0]. The validation cohort reported 70 early recurrences (50.00%) and a median RFS of 11.8 months ( IQR: 4.9-21.4). Univariate analysis revealed significant associations between early recurrence and tumor diameter, carcinoembryonic antigen (CEA), carbohydrate antigen 19-9 (CA19-9), carbohydrate antigen 125 (CA125), systemic immune-inflammation index (SⅡ), and prognostic nutritional index (PNI). Multivariate analysis identified tumor diameter ≥3.75 cm ( HR=1.718, 95% CI 1.223-2.412, P=0.002), CA19-9≥218 U/ml ( HR=1.567, 95% CI 1.107-2.220, P=0.011), CA125≥20.98 U/ml ( HR=2.501, 95% CI 1.768-3.539, P<0.001), SⅡ≥388.28 ( HR=1.708, 95% CI 1.096-2.662, P=0.018), and PNI<53.18 ( HR=0.596, 95% CI 0.404-0.879, P=0.009) as independent risk factors for early recurrence. The nomogram achieved AUC values of 0.771 and 0.708 in the training and validation cohorts, respectively. Calibration curves demonstrated strong agreement between predicted and observed survival probabilities. Kaplan-Meier analysis revealed significantly lower 1-year RFS rates in high-risk versus low-risk groups for both cohorts (training: HR=3.65, 95% CI 2.45-5.44, P<0.001; validation: HR=2.37, 95% CI 1.39-4.06, P=0.001). DCA indicated superior net benefit of the nomogram over TNM staging across threshold probabilities of 0.2-0.9. Conclusions:The proposed nomogram effectively integrates clinical and serological biomarkers to preoperatively assess early recurrence risk in resectable pancreatic cancer patients, offering enhanced precision for clinical decision-making.

Objective:To identify independent risk factors for early recurrence following curative resection of resectable pancreatic cancer and establish a nomogram prediction model.Methods:Clinical data from 405 patients with resectable pancreatic cancer treated at Renji Hospital, Shanghai Jiao Tong University School of Medicine from February 2010 to December 2020 were retrospectively reviewed. Patients were stratified into a training cohort (265 patients form February 2010 to December 2018) and a validation cohort (140 patients from January 2019 to December 2020) based on surgery dates. Optimal cutoff values for clinical variables were determined using X-tile software. Independent risk factors were identified through univariate and multivariate Cox proportional hazards regression analyses. Kaplan-Meier curves for recurrence-free survival (RFS) were generated across subgroups, and a nomogram was developed to predict early recurrence (within 1 year post-surgery). Time-dependent receiver operating characteristic (tROC) curves was drawn and area under the curve (AUC) metrics were utilized to evaluate predictive accuracy, while model reliability was assessed by calibration curves. Individualized risk scores derived from the nomogram were stratified into high- and low-risk groups using X-tile-derived cutoff values. Survival differences between groups were analyzed via log-rank tests. The clinical application value was judged by decision curve analysis (DCA) compared to TNM staging. Results:In the training cohort, 139 patients (52.45%) experienced early recurrence, with a median RFS of 11.1 months [interquartile range ( IQR): 6.0-26.0]. The validation cohort reported 70 early recurrences (50.00%) and a median RFS of 11.8 months ( IQR: 4.9-21.4). Univariate analysis revealed significant associations between early recurrence and tumor diameter, carcinoembryonic antigen (CEA), carbohydrate antigen 19-9 (CA19-9), carbohydrate antigen 125 (CA125), systemic immune-inflammation index (SⅡ), and prognostic nutritional index (PNI). Multivariate analysis identified tumor diameter ≥3.75 cm ( HR=1.718, 95% CI 1.223-2.412, P=0.002), CA19-9≥218 U/ml ( HR=1.567, 95% CI 1.107-2.220, P=0.011), CA125≥20.98 U/ml ( HR=2.501, 95% CI 1.768-3.539, P<0.001), SⅡ≥388.28 ( HR=1.708, 95% CI 1.096-2.662, P=0.018), and PNI<53.18 ( HR=0.596, 95% CI 0.404-0.879, P=0.009) as independent risk factors for early recurrence. The nomogram achieved AUC values of 0.771 and 0.708 in the training and validation cohorts, respectively. Calibration curves demonstrated strong agreement between predicted and observed survival probabilities. Kaplan-Meier analysis revealed significantly lower 1-year RFS rates in high-risk versus low-risk groups for both cohorts (training: HR=3.65, 95% CI 2.45-5.44, P<0.001; validation: HR=2.37, 95% CI 1.39-4.06, P=0.001). DCA indicated superior net benefit of the nomogram over TNM staging across threshold probabilities of 0.2-0.9. Conclusions:The proposed nomogram effectively integrates clinical and serological biomarkers to preoperatively assess early recurrence risk in resectable pancreatic cancer patients, offering enhanced precision for clinical decision-making.

Objective To establish a method for determination of ciprofol and propofol in human plasma and apply it to detect the drug concentration of general anesthesia in patients plasma undergoing elective surgery.Methods Plasma samples were precipitated with acetonitrile,and Symmetry C18 column(4.6 mm x 150.0 mm,3.5 pm)was selected and the mobile phase consisted of acetonitrile(B)and 0.01％ammonia water(containing 5 mmol·L-1 ammonium acetate;A)with gradient elute.The internal standard was D6-ciprofol.Electrospray power supply and negative ionization of multi-reaction monitoring were used for mass spectrum conditions.The specificity,linearity and lower limit of quantitation,precision,recovery rate,and matrix effects of the method were investigated.Results The concentration of ciprofol in human plasma was linear in the range of 15-2 000 ng·mL-1;and the standard curve equation was y=1.94 × 10-3x+8.17 × 10-3.The concentration of propofol in human plasma was linear in the range of 30-4 000 ng·mL-1;and the standard curve equation was y=3.29 × 10-3x+6.90 × 10-2.The relative standard deviation values of ciprofol and propofol for intra-day and inter-day precision were less than 9％,and the absolute recoveries were both above 90％.The matrix effects of the analytes were within the range of±7％.The concentrations of ciprofol and propofol in plasma samples of 21 patients were 388.82-1 135.66 ng·mL-1 and 1 015.98-2 796.43 ng·mL-1,respectively.Conclusion The method established conformed to the standards for analyzing biological samples is convenient with high accuracy,and can simultaneously determine the concentrations of ciprofol and propofol in human plasma,which is suitable for clinical blood concentration monitoring and human pharmacokinetic study.

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.

Following the principles of evidence-based medicine,in accordance with the structure and drafting rules of standardized documents,based on literature research,according to the characteristics of chronic cough in children and issues that need to form a consensus,the TCM Guidelines for Diagnosis and Treatment of Chronic Cough in Children was formulated based on the Delphi method,expert discussion meetings,and public solicitation of opinions.The guideline includes scope of application,terms and definitions,eti-ology and diagnosis,auxiliary examination,treatment,prevention and care.The aim is to clarify the optimal treatment plan of Chinese medicine in the diagnosis and treatment of this disease,and to provide guidance for improving the clinical diagnosis and treatment of chronic cough in children with Chinese medicine.

Objective To establish a method for determination of ciprofol and propofol in human plasma and apply it to detect the drug concentration of general anesthesia in patients plasma undergoing elective surgery.Methods Plasma samples were precipitated with acetonitrile,and Symmetry C18 column(4.6 mm x 150.0 mm,3.5 pm)was selected and the mobile phase consisted of acetonitrile(B)and 0.01％ammonia water(containing 5 mmol·L-1 ammonium acetate;A)with gradient elute.The internal standard was D6-ciprofol.Electrospray power supply and negative ionization of multi-reaction monitoring were used for mass spectrum conditions.The specificity,linearity and lower limit of quantitation,precision,recovery rate,and matrix effects of the method were investigated.Results The concentration of ciprofol in human plasma was linear in the range of 15-2 000 ng·mL-1;and the standard curve equation was y=1.94 × 10-3x+8.17 × 10-3.The concentration of propofol in human plasma was linear in the range of 30-4 000 ng·mL-1;and the standard curve equation was y=3.29 × 10-3x+6.90 × 10-2.The relative standard deviation values of ciprofol and propofol for intra-day and inter-day precision were less than 9％,and the absolute recoveries were both above 90％.The matrix effects of the analytes were within the range of±7％.The concentrations of ciprofol and propofol in plasma samples of 21 patients were 388.82-1 135.66 ng·mL-1 and 1 015.98-2 796.43 ng·mL-1,respectively.Conclusion The method established conformed to the standards for analyzing biological samples is convenient with high accuracy,and can simultaneously determine the concentrations of ciprofol and propofol in human plasma,which is suitable for clinical blood concentration monitoring and human pharmacokinetic study.

Objective: Whether metabolic redistribution occurs in patients with white matter hyperintensities (WMHs) on magnetic resonance imaging (MRI) is unknown. This study aimed 1) to propose a measure of the brain metabolic network for an individual patient and preliminarily apply it to identify impaired metabolic networks in patients with WMHs, and 2) to explore the clinical and imaging features of metabolic redistribution in patients with WMHs. Materials and Methods: This study included 50 patients with WMHs and 70 healthy controls (HCs) who underwent 18F-fluorodeoxyglucose-positron emission tomography/MRI. Various global property parameters according to graph theory and an individual parameter of brain metabolic network called “individual contribution index” were obtained. Parameter values were compared between the WMH and HC groups. The performance of the parameters in discriminating between the two groups was assessed using the area under the receiver operating characteristic curve (AUC). The correlation between the individual contribution index and Fazekas score was assessed, and the interaction between age and individual contribution index was determined. A generalized linear model was fitted with the individual contribution index as the dependent variable and the mean standardized uptake value (SUVmean) of nodes in the whole-brain network or seven classic functional networks as independent variables to determine their association. Results: The means ± standard deviations of the individual contribution index were (0.697 ± 10.9) x 10-3 and (0.0967 ± 0.0545) x 10-3 in the WMH and HC groups, respectively (p < 0.001). The AUC of the individual contribution index was 0.864 (95% confidence interval, 0.785–0.943). A positive correlation was identified between the individual contribution index and the Fazekas scores in patients with WMHs (r = 0.57, p < 0.001). Age and individual contribution index demonstrated a significant interaction effect on the Fazekas score. A significant direct association was observed between the individual contribution index and the SUVmean of the limbic network (p < 0.001). Conclusion The individual contribution index may demonstrate the redistribution of the brain metabolic network in patients with WMHs.

OBJECTIVE: To assess the efficacy of the combined treatment with electroacupuncture (EA) and intradermal needling on simple obesity and explore its underlying effect mechanism. METHODS: A total number of 116 patients with simple obesity were randomized into an observation group (58 cases, 3 cases dropped off and 2 cases removed) and a control group (58 cases, 4 cases dropped off and 1 cases removed). Patients in the control group received EA at Zhongwan (CV 12), Quchi (LI 11), Zusanli (ST 36), Pishu (BL 20), Weishu (BL 21), etc., for 30 min each time. On the base of the intervention as the control group, the patients in the observation group received the intradermal needling at Tianshu (ST 25), Daheng (SP 15), Zusanli (ST 36), Shangjuxu (ST 37), Quchi (LI 11), Pishu (BL 20) and Weishu (BL 21). In each group, the intervention was given once every two days, 3 times a week, consecutively for 3 months. Before and after treatment, the obesity indexes (body mass [BW], body mass index [BMI], body fat percentage [F%], adiposity [A] and waist circumference [WC]), the serum intestinal lymphatic function-related factors (vascular endothelial growth factor C [VEGF-C], delta-like ligand 4 [DLL4], adrenomedullin [ADM]), blood lipid (total cholesterol [TC], triglyceride [TG] and low density lipoprotein-cholesterol [LDL-C]), and fasting plasma glucose (FPG), fasting insulin (FINS) and insulin resistance index (HOMA-IR) were observed in the patients of both groups; and the efficacy was assessed. RESULTS: The effective rate was 88.7% (47/53) in the observation group, higher than 71.7% (38/53) in the control group (P<0.05). After treatment, except FPG in the control group, BW, BMI, F%, A, WC, and the concentrations of serum VEGF-C, DLL4 and ADM, as well as TC, TG, LDL-C, FBG, FINS and HOMA-IR were all reduced compared with those before treatment in both groups (P<0.05). The reduction ranges of BW, BMI, F%, A, WC, and the concentrations of serum VEGF-C, DLL4 and ADM, and TC, LDL-C, FINS and HOMA-IR in the observation group were all larger than those in the control group (P<0.05). CONCLUSION Electroacupuncture combined with intradermal needling can reduce body weight and lipid, and improve insulin resistance in treatment of simple obesity, which is achieved probably through inhibiting lymphangiogenesis and promoting lymphatic endothelial permeability.
Acupuncture Points ; Blood Glucose/metabolism* ; Cholesterol, LDL ; Electroacupuncture ; Humans ; Insulin Resistance ; Intestines ; Lipids ; Lymphocytes ; Obesity/therapy* ; Obesity, Morbid ; Triglycerides ; Vascular Endothelial Growth Factor C

Objective:To evaluate the effect of prophylactic octreotide administration on pancreaticoduodenectomy (PD)associated postoperative pancreatic fistula (POPF), total complications, peri-operative death and postoperative in-hospital days.Methods:From January 2020 to August 2021, 148 patients who underwent PD in the Department of Biliary-Pancreatic Surgery in Ren Ji Hospital affiliated with School of Medicine of Shanghai Jiao Tong University were recruited into this single-center randomized control double-blinded clinical trial. Patients were randomly assigned into octreotide group ( n=74) and control group ( n=74). Octreotide group was subcutaneously injected with 0.1 mg (1 ml) octreotide after preoperative anesthesia, and was subcutaneously injected with the same dose every 8 hours for 5 days, with a total of 16 doses. Control group was injected with 1 ml normal saline in the same way, and relevant clinical data and indicators of the two groups were recorded. The primary endpoint was clinically relevant pancreatic fistula, and the secondary endpoints were total complications, perioperative death and postoperative in-hospital days. Univariate and multivariate logistic regression analysis were used to screen the risk factors of clinically related POPF after PD. Results:120 patients were finally enrolled, including 61 in octreotide group and 59 in control group. There were no significant differences on age, gender ratio, body mass index, preoperative surgery rate of jaundice reduction, preoperative major biochemical indicators, operation time, intraoperative blood loss, pancreatic duct diameter, pancreatic texture and pathological type composition ratio. The total incidence of clinical relevant POPF was 8.3%, and there were no significant differences on biochemical leakage (4.9% vs 8.5%, P=0.435), grade B fistula (4.9% vs 8.5%, P=0.435) and grade C fistula (1.6% vs 1.7%, P=0.981). The total complication incidence (24.5% vs 28.8%, P=0.601), perioperative mortality (0 vs 3.3%, P=0.147) and postoperative in-hospital days (20.6±11.1 d vs 19.5±12.2 d, P=0.633) were not significantly different between two groups. Univariate analysis showed that preoperative serum albumin level <30 g/L( P<0.001) and pathological type of pancreatic ductal adenocarcinoma ( P=0.036) were independent risk factors for POPF after PD, while multivariate analysis found no statistically significant risk factors. Conclusions:Octreotide can neither reduce the incidences of POPF, total complications and postoperative mortality, nor shorten postoperative in-hospital days. However, for patients with preoperative hypoproteinemia and (or) the pathological type of pancreatic duct adenocarcinoma, the prophylactic use of octreotide during PD and after PD may reduce the occurrence of POPF.