Objective: To explore the dynamic developmental trajectories of college students class belongingness during their college years and its longitudinal predictive effects on depressive symptoms, so as to provide targeted insights for precise campus psychological interventions. Methods: In October 2021 (T1), a total of 4 720 college students from a university in Shandong Province were selected by cluster sampling method and followed up for 3 years. Surveys were conducted annually (T2: October 2022, T3: October 2023, T4: October 2024). The Class Belongingness Scale and Patient Health Questionnaire-9 (PHQ-9) were used to assess students class belongingness and depressive symptoms. Latent growth mixture modeling was employed to identify trajectories of class belonging, and multinomial Logistic regression analysis was used to examine the predictive effects of these trajectory classes on depressive symptoms. Results: Mean scores of class belongingness across T1-T4 were (73.24±11.95, 74.76±12.25, 75.25±12.38, 77.64±11.63), and the scores of depressive symptoms were [1.00 (0, 5.00), 0 (0, 3.00), 0 (0, 2.00), 0 (0, 2.00)]. The developmental trajectories of class belongingness were categorized into three types: the high-starting ascending group ( 56.61 %), the low-starting descending group (11.91%), and the medium-starting stable group (31.48%). Multinomial Logistic regression analysis showed that, compared to the medium-starting stable group, the high-starting ascending group had a lower probability of developing mild depressive symptoms ( OR=0.27, 95%CI =0.15-0.47) and moderate or above depressive symptoms ( OR=0.29, 95% CI = 0.14-0.60) (both P <0.05). Conversely, the low-starting descending group had a higher probability of developing mild depressive symptoms ( OR=2.31, 95%CI =1.65-3.22) and moderate or above depressive symptoms ( OR=7.49, 95%CI = 3.82-14.69) (both P <0.05). Conclusion Declining trajectory of class belongingness is a risk factor for depressive symptoms, while sustained upward trend may mitigate such risks.

Objective:To evaluate the diagnostic value of micro flow imaging (MFI) supported by Image Pro Plus (IPP) software for BI-RADS classification of breast nodules and the correlation between its parameters and Ki-67 expression level.Methods:A total of 205 cases of breast solid nodules with ultrasound BI-RADS classification of 4 categories were enrolled in this study. BI-RADS classification, CDFI score, MFI score, CDFI-IPP score and MFI-IPP score by IPP software were performed for each nodule. Ki-67 immunohistochemical staining of invasive ductal carcinoma was performed to analyze the correlation between MFI-IPP-VI and Ki-67 expression levels.Results:The combined BI-RADS classification for diagnosis of malignant nodules had the largest area under the ROC curve, which was significantly higher than that of BI-RADS, MFI-IPP-VI, MFI score, CDFI-IPP-VI, and CDFI score (all P<0.05). The combined BI-RADS classification had the best diagnostic efficacy for the diagnosis of malignant nodules with a sensitivity of 96.4%, specificity of 65.6% and accuracy of 82.4%. In addition, the agreement between experienced and inexperienced sonographers applying MFI-IPP-VI was higher than MFI (Kappa=0.780 vs. Kappa=0.743). The mean value of Ki-67 in invasive ductal carcinoma was 21.93%±16.37%, and Spearman's correlation analysis showed a positive correlation between MFI-IPP-VI and Ki-67 expression level ( r=0.815, P<0.05). Conclusions:MFI-IPP can assist sonographers to classify breast nodules by BI-RADS, providing an effective basis for puncture biopsy. MFI-IPP-VI offers the possibility of noninvasively predicting the expression level of Ki-67 in invasive ductal carcinoma.

Objective:To analyze risk factors for early trauma-induced coagulopathy (TIC) in pediatric patients with moderate-to-severe traumatic brain injury (msTBI), develop a predictive model and evaluate its predictive performance.Methods:A retrospective cohort study was conducted to analyze the clinical data of 290 pediatric patients with msTBI who were admitted to Children′s Hospital of Soochow University between January 2016 and December 2024, including 188 boys and 102 girls, aged 0.2-15.7 years [5.2(2.8, 9.3)years]. Based on the coagulation test results at admission, the patients were divided into TIC group ( n=162) and non-TIC group ( n=128). The patients were randomly allocated into training set ( n=203) and validation set ( n=87) at a ratio of 7∶3. Demographic characteristics, clinical data, vital signs, imaging findings, arterial blood gas analysis results, and coagulation profiles of the patients were collected. Univariate analysis and Lasso regression analysis were used to identify risk factors associated with early TIC in children with msTBI and multivariate Logistic regression analysis was performed to determine independent risk factors and construct a predictive model. The model′s discrimination and calibration were evaluated using the area under the receiver operating characteristic (ROC) curve (AUC), Hosmer-Lemeshow (H-L) test, and calibration curve. Its clinical utility was assessed through decision curve analysis (DCA). Results:Significant differences were observed between the TIC group and non-TIC group in terms of age, weight, time from injury to admission, child′s Glasgow coma scale (CGCS) score, pediatric trauma score (PTS), shock index, heart rate, respiratory rate, systolic blood pressure, Rotterdam CT score, intraventricular hemorrhage, cerebral contusion, brain herniation, long bone fracture, pelvic fracture, hemopneumothorax, pulmonary contusion, intra-abdominal organ injury, actual bicarbonate, base excess, base excess in the extracellular fluid, blood glucose, hemoglobin (Hb), osmolarity, blood calcium, anion gap, blood lactate, prothrombin time, activated partial thromboplastin time, international normalized ratio, and platelet count ( P<0.05). With coagulation-related variables excluded, the following features were identified with Lasso regression including CGCS score, PTS, heart rate, systolic blood pressure, long bone fracture, blood glucose, and Hb. Multivariate Logistic regression analysis revealed that CGCS score≤8 points ( OR=3.05, 95% CI 1.65, 5.63), PTS>5 points ( OR=0.45, 95% CI 0.23, 0.89), systolic blood pressure ( OR=0.98, 95% CI 0.97, 0.99), blood glucose ( OR=1.09, 95% CI 1.01, 1.17), and long bone fracture ( OR=2.47, 95% CI 1.13, 5.42) were influencing factors for early TIC in children with msTBI ( P<0.05). The regression equation of the predictive model was established as follows: Logit[ P/(1- P)]=1.01×"CGCS score≤8 points"-0.69×"PTS>5 points"- 0.02×"systolic blood pressure"+0.89×"long bone fracture"+0.08×"blood glucose"+1.32. The ROC curve analysis showed that the training set had an AUC of 0.86 (95% CI 0.78, 0.94), with sensitivity and specificity of 76.6% and 92.5%, while the AUC was 0.80 (95% CI 0.74, 0.86), with sensitivity and specificity of 75.7% and 79.6% in the validation set. H-L test results showed a χ2 value of 8.18 ( P=0.416) in the training set and 5.30 ( P=0.216) in the validation set. The calibration curves for both sets demonstrated good agreement with the actual curves, indicating that the predicted probabilities closely matched the observed probabilities. The DCA results indicated that both the training set and validation set demonstrated positive net benefits within threshold probabilities ranges of 10%-100% and 15%-96%. Conclusions:Independent risk factors for early TIC in pediatric msTBI patients include CGCS score≤ 8 points, PTS≤5 points, low systolic blood pressure, long bone fracture, and high blood glucose. The predictive model constructed based on these factors demonstrates favorable predictive performance and clinical application value.

Objective:To investigate the predictive value of serum β 2-microglobulin (β 2M) and pro-inflammatory cytokines for post-stroke depression (PSD) in patients with acute ischemic stroke (AIS). Methods:Patients with AIS admitted to the Department of Neurology, the Affiliated Municipal Hospital of Xuzhou Medical University from January 2020 to May 2023 were included retrospectively. At the 6-month outpatient follow-up, the Self-rating Depression Scale (SDS) was used to assess depression. Multivariate logistic regression analysis was used to determine the independent influencing factors of PSD. Receiver operating characteristic (ROC) curve was used to evaluate the predictive value of individual and combined independent influencing factors on PSD. Results:A total of 161 patients were enrolled, including 82 males (50.93%), aged 61.78±11.95 years; 47 patients (29.20%) developed PSD. Univariate analysis showed that the proportion of males, serum β 2M, interleukin (IL)-1β, IL-6, tumor necrosis factor (TNF)-α, high-sensitivity C-reactive protein level, and baseline National Institutes of Health Stroke Scale (NIHSS) score in the PSD group were significantly different from those in the non-PSD group (all P<0.05). Multivariate logistic regression analysis showed that serum β 2M (odds ratio [ OR] 4.257, 95% confidence interval [ CI]1.441-12.574; P=0.009), IL-1β ( OR 1.415, 95% CI 1.116-1.793; P=0.004), IL-6 ( OR 1.262, 95% CI 1.020-1.561; P=0.032), and TNF-α ( OR 1.246, 95% CI 1.021-1.521; P=0.030) were the independent influencing factors of PSD. ROC curve analysis showed that the area under the curve of serum β 2M for predicting PSD was 0.753 (95% CI 0.668-0.838), with an optimal cutoff value of 2.255 mg/L. The sensitivity and specificity were 59.6% and 80.7%, respectively. When serum β 2M was combined with IL-1β, IL-6 and TNF-α for prediction, the area under the curve increased to 0.893 (95% CI 0.837-0.948). Conclusion:The serum β 2M in combination with pro-inflammatory cytokines has good predictive value for PSD.

Myocardial infarction is a serious type of myocardial ischemic disease. Traditional treatments can only alleviate clinical symptoms and cannot repair damaged myocardium. In this review, the application progress of chitosan-based composite scaffolds in myocardial repair and regeneration after myocardial infarction was reviewed. Combining chitosan with polymers, such as natural proteins and natural polysaccharides can mimic the properties of natural myocardial tissue, reducing ventricular wall stress while increasing biological activity and promoting the retention, repair or regeneration of myocardial cells. Combining chitosan with synthetic polymers and nanomaterials can promote the repair and regeneration of myocardial cells, improve the electrophysiological function of the infarcted area and resynchronise cardiac contraction.

Objective:To analyze risk factors for early trauma-induced coagulopathy (TIC) in pediatric patients with moderate-to-severe traumatic brain injury (msTBI), develop a predictive model and evaluate its predictive performance.Methods:A retrospective cohort study was conducted to analyze the clinical data of 290 pediatric patients with msTBI who were admitted to Children′s Hospital of Soochow University between January 2016 and December 2024, including 188 boys and 102 girls, aged 0.2-15.7 years [5.2(2.8, 9.3)years]. Based on the coagulation test results at admission, the patients were divided into TIC group ( n=162) and non-TIC group ( n=128). The patients were randomly allocated into training set ( n=203) and validation set ( n=87) at a ratio of 7∶3. Demographic characteristics, clinical data, vital signs, imaging findings, arterial blood gas analysis results, and coagulation profiles of the patients were collected. Univariate analysis and Lasso regression analysis were used to identify risk factors associated with early TIC in children with msTBI and multivariate Logistic regression analysis was performed to determine independent risk factors and construct a predictive model. The model′s discrimination and calibration were evaluated using the area under the receiver operating characteristic (ROC) curve (AUC), Hosmer-Lemeshow (H-L) test, and calibration curve. Its clinical utility was assessed through decision curve analysis (DCA). Results:Significant differences were observed between the TIC group and non-TIC group in terms of age, weight, time from injury to admission, child′s Glasgow coma scale (CGCS) score, pediatric trauma score (PTS), shock index, heart rate, respiratory rate, systolic blood pressure, Rotterdam CT score, intraventricular hemorrhage, cerebral contusion, brain herniation, long bone fracture, pelvic fracture, hemopneumothorax, pulmonary contusion, intra-abdominal organ injury, actual bicarbonate, base excess, base excess in the extracellular fluid, blood glucose, hemoglobin (Hb), osmolarity, blood calcium, anion gap, blood lactate, prothrombin time, activated partial thromboplastin time, international normalized ratio, and platelet count ( P<0.05). With coagulation-related variables excluded, the following features were identified with Lasso regression including CGCS score, PTS, heart rate, systolic blood pressure, long bone fracture, blood glucose, and Hb. Multivariate Logistic regression analysis revealed that CGCS score≤8 points ( OR=3.05, 95% CI 1.65, 5.63), PTS>5 points ( OR=0.45, 95% CI 0.23, 0.89), systolic blood pressure ( OR=0.98, 95% CI 0.97, 0.99), blood glucose ( OR=1.09, 95% CI 1.01, 1.17), and long bone fracture ( OR=2.47, 95% CI 1.13, 5.42) were influencing factors for early TIC in children with msTBI ( P<0.05). The regression equation of the predictive model was established as follows: Logit[ P/(1- P)]=1.01×"CGCS score≤8 points"-0.69×"PTS>5 points"- 0.02×"systolic blood pressure"+0.89×"long bone fracture"+0.08×"blood glucose"+1.32. The ROC curve analysis showed that the training set had an AUC of 0.86 (95% CI 0.78, 0.94), with sensitivity and specificity of 76.6% and 92.5%, while the AUC was 0.80 (95% CI 0.74, 0.86), with sensitivity and specificity of 75.7% and 79.6% in the validation set. H-L test results showed a χ2 value of 8.18 ( P=0.416) in the training set and 5.30 ( P=0.216) in the validation set. The calibration curves for both sets demonstrated good agreement with the actual curves, indicating that the predicted probabilities closely matched the observed probabilities. The DCA results indicated that both the training set and validation set demonstrated positive net benefits within threshold probabilities ranges of 10%-100% and 15%-96%. Conclusions:Independent risk factors for early TIC in pediatric msTBI patients include CGCS score≤ 8 points, PTS≤5 points, low systolic blood pressure, long bone fracture, and high blood glucose. The predictive model constructed based on these factors demonstrates favorable predictive performance and clinical application value.

OBJECTIVE To explore the association of Helicobacter pylori infection with the expression levels of Ki67,caudal type homeobox transcription factor 2(CDX-2)and p53 protein in the gastric cancer patients so as to provide bases for improvement of prognosis of the gastric cancer patients.METHODS Totally 113 patients who were diagnosed with gastric cancer by gastroscopic examination and were treated in Shijiazhuang People's Hospital from Jan.2020 to Jan.2024 were assigned as the gastric cancer group,84 of whom were complicated with H.py-lori infection(the Hp-positive group),and 29 were negative for Hp(the Hp-negative group).Meanwhile,125 patients who had chronic atrophic gastritis were assigned as the non-gastric cancer group.The gastric mucosa tis-sue specimens were collected through gastroscopy,and the expression levels of Ki67,CDX-2 and p53 protein were detected.RESULTS The positive rate of H.pylori infection of the gastric cancer group was 74.34％,higher than 54.40％of the non-gastric cancer group(P＜0.05).The positive rate of H.pylori was higher in the gastric canc-er patients with lymphatic metastasis,infiltration depth of T3 to T4 and TNM stage of Ⅲ to Ⅳ stage than in the gastric cancer patients without lymphatic metastasis,infiltration depth of T1 to T2 and TNM stage of Ⅰ to Ⅱ stage(P＜0.05).The positive expression rates of gastric mucosa tissue Ki67,CDX-2 and p53 protein of the gastric cancer group were respectively 69.91％,52.21％and 79.65％,higher than 47.20％,0 and 24.00％of the non-gastric cancer group,there were significant differences(P＜0.05).The positive expression rates of gastric mucosa tissue Ki67,CDX-2 and p53 protein of the Hp-positive group were higher than those of the Hp-negative group(P＜0.05).CONCLUSION The gastric cancer is associated with the H.pylori infection and the expressions of Ki67,CDX-2 and p53.The H.pylori infection may lead to the abnormal expressions of Ki67,CDX-2 and p53 in gastric mucosa tissues of the gastric cancer patients,which is also associated with the clinicopathologic features.

OBJECTIVE To explore the association of Helicobacter pylori infection with the expression levels of Ki67,caudal type homeobox transcription factor 2(CDX-2)and p53 protein in the gastric cancer patients so as to provide bases for improvement of prognosis of the gastric cancer patients.METHODS Totally 113 patients who were diagnosed with gastric cancer by gastroscopic examination and were treated in Shijiazhuang People's Hospital from Jan.2020 to Jan.2024 were assigned as the gastric cancer group,84 of whom were complicated with H.py-lori infection(the Hp-positive group),and 29 were negative for Hp(the Hp-negative group).Meanwhile,125 patients who had chronic atrophic gastritis were assigned as the non-gastric cancer group.The gastric mucosa tis-sue specimens were collected through gastroscopy,and the expression levels of Ki67,CDX-2 and p53 protein were detected.RESULTS The positive rate of H.pylori infection of the gastric cancer group was 74.34％,higher than 54.40％of the non-gastric cancer group(P＜0.05).The positive rate of H.pylori was higher in the gastric canc-er patients with lymphatic metastasis,infiltration depth of T3 to T4 and TNM stage of Ⅲ to Ⅳ stage than in the gastric cancer patients without lymphatic metastasis,infiltration depth of T1 to T2 and TNM stage of Ⅰ to Ⅱ stage(P＜0.05).The positive expression rates of gastric mucosa tissue Ki67,CDX-2 and p53 protein of the gastric cancer group were respectively 69.91％,52.21％and 79.65％,higher than 47.20％,0 and 24.00％of the non-gastric cancer group,there were significant differences(P＜0.05).The positive expression rates of gastric mucosa tissue Ki67,CDX-2 and p53 protein of the Hp-positive group were higher than those of the Hp-negative group(P＜0.05).CONCLUSION The gastric cancer is associated with the H.pylori infection and the expressions of Ki67,CDX-2 and p53.The H.pylori infection may lead to the abnormal expressions of Ki67,CDX-2 and p53 in gastric mucosa tissues of the gastric cancer patients,which is also associated with the clinicopathologic features.

Objective:To explore and verify the value of neoadjuvant rectal (NAR) score in predicting the prognosis of patients with middle and low locally advanced rectal cancer.Methods:A retrospective analysis of 207 patients with middle and low locally advanced rectal adenocarcinoma who received neoadjuvant radiotherapy and chemotherapy in Tianjin Medical University Cancer Institute & Hospital from January 2015 to December 2021 was performed. The neoadjuvant radiotherapy regimen was pelvic external irradiation of 45-50.4 Gy, 1.8 Gy/f, 5 times per week and concurrent oral capecitabine chemotherapy on days 1-14 and 22-36 during radiotherapy. Total mesorectal excision (TME) was then performed. The NAR score was calculated based on the initial clinical stage and postoperative pathological stage, and divided into the low (<8), medium (8-16) and high (>16) layers, respectively. The 3-year disease-free survival (DFS) and overall survival (OS) were calculated using the Kaplan-Meier method, and the differences in DFS and OS among different NAR score layers were compared using the log-rank test. Some patients received consolidation chemotherapy during the interval between concurrent radiotherapy-chemotherapy and surgery, even the total neoadjuvant therapy (TNT) model. Subgroup analysis was further used to verify the predictive value of the NAR score in the strengthened neoadjuvant therapy model.Results:The median follow-up of all patients was 46.0 months (range: 19.5-88.0 months), the 3-year DFS was 79.2%, and the 3-year OS was 87.4%. Univariate analysis found that the NAR score had a significant impact on the 3-year DFS and OS. The 3-year DFS of patients with low, medium, and high NAR scores were 90.3%, 86.1% and 58.7% ( P<0.001), and the 3-year OS were 94.4%, 91.7% and 74.6%, ( P<0.001), respectively. Subgroup analysis showed that the predictive value of the NAR score also applied to the strengthened neoadjuvant therapy model. The 3-year DFS of patients with low, medium, and high NAR scores were 86.9%, 83.8% and 68.3% ( P=0.044), and the 3-year OS were 92.9%, 90.7% and 85.4% ( P=0.029), respectively. Conclusion:The NAR score can effectively predict the prognosis of patients with middle and low locally advanced rectal adenocarcinoma, whether using neoadjuvant therapy or strengthened neoadjuvant therapy followed by TME surgery.