Objective:To explore the influencing factors of intracranial hemorrhage in elderly patients with acute occlusion of intracranial arteries after treatment and reperfusion.Methods:A retrospective selection was conducted on elderly patients with acute occlusion of the intracranial artery who were treated at the Hebei Petro China Central Hospital from February 2019 to May 2021. Sixty patients who received mechanical thrombectomy treatment were selected as the observation group, and 60 patients who received combined arterial and venous thrombolysis treatment were selected as the control group. The vascular reperfusion rate and incidence of intracranial hemorrhage were observed and compared between the two groups. Meanwhile, multiple logistic regression analysis was used to identify the influencing factors of intracranial hemorrhage.Results:The reperfusion rate of the observation group′s blood vessels was 85.00%(51/60), significantly higher than the control group′s 68.33%(41/60), and the difference was statistically significant (χ 2=4.658, P=0.031). The National Institutes of Health Neurological Deficit Score (NIHSS) of the observation group after treatment was (10.57±2.23), significantly lower than that of the control group (14.73±2.84), and the difference was statistically significant ( P<0.05). The reperfusion rate of blood vessels in patients under 80 years old in the observation group was significantly higher than that in patients ≥80 years old ( P<0.05). The results of univariate analysis showed that there were statistically significant differences in age, NIHSS at admission, Alberta Stroke Program Early CT Score (ASPECTS), and neutrophil absolute value/lymphocyte ratio (NLR) between patients with and without intracranial hemorrhage (all P<0.05); Multivariate logistic regression analysis showed that age ( OR=1.756, 95% CI: 1.184-2.604) and NIHSS at admission ( OR=2.392, 95% CI: 1.401-4.084) were risk factors for postoperative intracranial hemorrhage in elderly patients with acute occlusion of the large intracranial artery, while ASPECTS ( OR=0.364, 95% CI: 0.190-0.697) was a protective factor. Conclusions:Mechanical thrombectomy has good clinical efficacy in the treatment of elderly patients with acute occlusion of intracranial arteries, and is worthy of clinical use; The intracranial hemorrhage after reperfusion is mainly influenced by the patient′s age, NIHSS at admission, and ASPECTS.

Objective To evaluate the efficacy of a modified sericin hydrogel scaffold loaded with dexamethasone(SMH-CD/DEX)scaffold for promoting bone defect healing by stimulating anti-inflammatory macrophage polarization.Methods The light-curable SMH-CD/DEX scaffold was prepared using dexamethasone-loaded NH2-β-cyclodextrin(NH2-β-CD)and sericin hydrogel and characterized by scanning electron microscopy(SEM),Fourier transform infrared spectroscopy(FTIR),biocompatibility assessment and drug release test.THP-1 macrophages incubated with the scaffold were examined for protein expressions of iNOS and Arg-1,mRNA expressions of IL-6,Il-10,Arg-1 and iNOS,and surface markers CD86 and CD206 using Western blotting,RT-qPCR,and flow cytometry.In a co-culture system of human periodontal ligament stem cells(HPDLSCs)and THP-1 macrophages,the osteogenic ability of the stem cells incubated with the scaffold was evaluated by detecting protein expressions of COL1A1 and Runx2 and expressions of ALP,Runx2,OCN and BMP2 mRNA,ALP staining,and alizarin red staining.In a rat model of mandibular bone defect,the osteogenic effect of the scaffold was assessed by observing bone regeneration using micro-CT and histopathological staining.Results In THP-1 macrophages,incubation with SMH-CD/DEX scaffold significantly enhanced protein expressions of Arg-1 and mRNA expressions of IL-10 and Arg-1 and lowered iNOS protein expression and IL-6 and iNOS mRNA expressions.In the co-culture system,SMH-CD/DEX effectively increased the protein expressions of COL1A1 and Runx2 and mRNA expressions of ALP and BMP2 in HPDLSCs and promoted their osteogenic differentiation.In the rat models,implantation of SMH-CD/DEX scaffold significantly promoted bone repair and bone regeneration in the bone defect.Conclusion The SMH-CD/DEX scaffold capable of sustained dexamethasone release promotes osteogenic differentiation of stem cells and bone defect repair in rats by regulating M2 polarization.

Objective:To investigate the epidemiological characteristics of herpangina (HA) and its correlation with the incidence of hand, foot and mouth disease (HFMD) in children aged ≤6 years in Yinzhou District of Ningbo from 2017 to 2022.Methods:Epidemiological characteristics of HA in children aged ≤6 years were analyzed based on the electronic medical record data and public health management data from 2017 to 2022 collected from the Health Information Platform of Yinzhou. The incidence of HFMD was calculated using the infectious disease reporting data from the public health management data. Autoregressive integrated moving average model and cross-correlation function were used to evaluate the correlation between the incidence of HA and HFMD.Results:From 2017 to 2022, a total of 25 385 cases of HA were detected in children aged ≤6 years in Yinzhou, the male-to-female ratio of the cases was 1.12∶1. The average annual incidence of HA was 4 986.67/100 000, with the highest incidence in 2018 (10 477.09/100 000) and the lowest incidence in 2020 (870.88/100 000). The incidence peak of HA was during June to July. The incidence of HA was higher in age group 1 year (7 950.45/100 000) than in other age groups. The incidences of HA in Yunlong, Jiangshan and Xiaying were higher, with the incidence of 8 764.31/100 000, 8 377.58/100 000 and 7 965.31/100 000, respectively. The correlation coefficients between the incidence of HA and HFMD at lag day 0, 7, 12 and 18 were 0.199, 0.139, 0.090 and 0.086, respectively (all P<0.05). Conclusions:From 2017 to 2022, the incidence of HA was high in children aged ≤6 years in Yinzhou with obvious seasonality and area difference. The incidence of HA was correlated with the incidence of HFMD and the incidence of HFMD had certain lags. The comprehensive prevention and control of HA and HFMD should be further strengthened by prioritizing HA surveillance and implementing integrated surveillance and management of HA and HFMD.

Objective:To construct a diabetes foot prediction model for adult patients with type 2 diabetes based on retrospective cohort study using data from a regional health data platform.Methods:Using Yinzhou Health Information Platform of Ningbo, adult patients with newly diagnosed type 2 diabetes from January 1, 2015 to December 31, 2022 were included in this study and divided randomly the train and test sets according to the ratio of 7∶3. LASSO regression model and bidirectional stepwise regression model were used to identify risk factors, and model comparisons were conducted with net reclassification index, integrated discrimination improvement and concordance index. Univariate and multivariate Cox proportional hazard regression models were constructed, and a nomogram plot was drawn. Area under the curve (AUC) was calculated as a discriminant evaluation indicator for model validation test its calibration ability, and calibration curves were drawn to test its calibration ability.Results:No significant difference existed between LASSO regression model and bidirectional stepwise regression model, but the better bidirectional stepwise regression model was selected as the final model. The risk factors included age of onset, gender, hemoglobin A1c, estimated glomerular filtration rate, taking angiotensin receptor blocker and smoking history. AUC values (95% CI) of risk outcome prediction at year 5 and 7 were 0.700 (0.650-0.749) and 0.715(0.668-0.762) for the train set and 0.738 (0.667-0.801) and 0.723 (0.663-0.783) for the test set, respectively. The calibration curves were close to the ideal curve, and the model discrimination and calibration powers were both good. Conclusions:This study established a convenient prediction model for diabetic foot and classified the risk levels. The model has strong interpretability, good discrimination power, and satisfactory calibration and can be used to predict the incidence of diabetes foot in adult patients with type 2 diabetes to provide a basis for self-assessment and clinical prediction of diabetic foot disease risk.

Objective:To understand the current status of gastroscopy in diagnosing gastric lesions in general population, and to recommend the optimal age for the first gastroscopy and intervals for repeated gastroscopy.Methods:The gastroscopy records of residents aged 18-80 years in Yinzhou District of Ningbo, Zhejiang Province, between April 2010 and December 2021 were analyzed retrospectively. The detections of gastric lesions across different years, age and genders were described. Goodness of fit tests were applied to compare the differences in detection rates of different lesions in first-time endoscopy in different age groups and different populations. Generalized additive models were used to fit the trend of age specific gastric lesion detection rate explore the optimal age for gastroscopy. The appropriate gastroscopy intervals were determined according to the progress of the gastric lesions detected in repeated gastroscopy.Results:A total of 237 751 participants with 344 398 gastroscopy records were included in analyses. A total of 5 597 cases of chronic atrophic gastritis (CAG), 9 796 cases of intestinal metaplasia (IM), 165 cases of low-grade intraepithelial neoplasia (LGIN), 52 cases of high-grade intraepithelial neoplasia (HGIN) and 435 cases of gastric cancer were detected by the first gastroscopy. The overall detection rate of gastric lesions increased significantly in age group 45-70 years, and remained stable after 70 years old, with LGIN and HGIN showing notable increases at 50 and 55 years old, respectively. Repeated gastroscopy detected CAG, IM, LGIN, and HGIN at a higher rate compared with the first gastroscopy. Normal/superficial gastritis progressed in 3-5 years, whereas CAG or more severe lesions progressed in 1-6 years.Conclusion:Gastroscopy is recommended for general population aged 45 years and above. Furthermore, gastroscopy can be performed every 3-5 years for individuals with normal endoscopy results and once a year for patients with CAG or more severe gastric lesions.

Objective:To develop a prediction model for the risk of diabetic retinopathy (DR) in patients with newly diagnosed type 2 diabetes mellitus (T2DM).Methods:Patients with new diagnosis of T2DM recorded in Yinzhou Regional Health Information Platform between January 1, 2015 and December 31, 2022 were included in the study. The predictor variables were selected by using Lasso-Cox proportional hazards regression model. Cox proportional hazards regression models were used to establish the prediction model for the risk of DR. Bootstrap method (500 resamples) was used for internal validation, and the performance of the model was assessed by C-index, the receiver operating characteristic curve and area under the curve (AUC), and calibration curve.Results:The predictor variables included in the final model were age of T2DM onset, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, estimated glomerular filtration rate, and history of lipid-lowering agent and angiotensin converting enzyme inhibitor uses. The C-index of the final model was 0.622, and the mean corrected C-index was 0.623 (95% CI: 0.607-0.634). The AUC values for predicting the risk of DR after 3, 5, and 7 years were 0.631, 0.620, and 0.624, respectively, with a high degree of overlap of the calibration curves with the ideal curves. Conclusion:In this study, a simple and practical risk prediction model for DR risk prediction was developed, which could be used as a reference for individualized DR screening and intervention in newly diagnosed T2DM patients.

Objective:To construct a risk prediction model for diabetes kidney disease (DKD).Methods:Patients newly diagnosed with type 2 diabetes mellitus (T2DM) between January 1, 2015, and December 31, 2022, were selected as study subjects from the Yinzhou Regional Health Information Platform in Ningbo City. The Lasso method was used to screen the risk factors, and the DKD risk prediction model was established using Cox proportional hazard regression models. Bootstrap 500 resampling was applied for internal validation.Results:The study included 49 706 subjects, with an median ( Q1, Q3) age of 60.00 (50.00, 68.00) years old, and 55% were male. A total of 4 405 subjects eventually developed DKD. Age at first diagnosis of T2DM, BMI, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, past medical history (hyperuricemia, rheumatic diseases), triglycerides, and estimated glomerular filtration rate were included in the final model. The final model's C-index was 0.653, with an average of 0.654 after Bootstrap correction. The final model's area under the receiver operating characteristic curve for predicting 4-year, 5-year, and 6-year was 0.657, 0.659, and 0.664, respectively. The calibration curve was closely aligned with the ideal curve. Conclusions:This study constructed a DKD risk prediction model for newly diagnosed T2DM patients based on real-world data that is simple, easy to use, and highly practical. It provides a reliable basis for screening high-risk groups for DKD.

Objective:To explore potential predictors of refractory Mycoplasma pneumoniae pneumonia (RMPP) in early stage. Methods:The prospective multicenter study was conducted in Zhejiang, China from May 1 st, 2019 to January 31 st, 2020. A total of 1 428 patients with fever >48 hours to <120 hours were studied. Their clinical data and oral pharyngeal swab samples were collected; Mycoplasma pneumoniae DNA in pharyngeal swab specimens was detected. Patients with positive Mycoplasma pneumoniae DNA results underwent a series of tests, including chest X-ray, complete blood count, C-reactive protein, lactate dehydrogenase (LDH), and procalcitonin. According to the occurrence of RMPP, the patients were divided into two groups, RMPP group and general Mycoplasma pneumoniae pneumonia (GMPP) group. Measurement data between the 2 groups were compared using Mann-Whitney U test. Logistic regression analyses were used to examine the associations between clinical data and RMPP. Receiver operating characteristic (ROC) curves were used to analyse the power of the markers for predicting RMPP. Results:A total of 1 428 patients finished the study, with 801 boys and 627 girls, aged 4.3 (2.7, 6.3) years. Mycoplasma pneumoniae DNA was positive in 534 cases (37.4%), of whom 446 cases (83.5%) were diagnosed with Mycoplasma pneumoniae pneumonia, including 251 boys and 195 girls, aged 5.2 (3.3, 6.9) years. Macrolides-resistant variation was positive in 410 cases (91.9%). Fifty-five cases were with RMPP, 391 cases with GMPP. The peak body temperature before the first visit and LDH levels in RMPP patients were higher than that in GMPP patients (39.6 (39.1, 40.0) vs. 39.2 (38.9, 39.7) ℃, 333 (279, 392) vs. 311 (259, 359) U/L, both P<0.05). Logistic regression showed the prediction probability π=exp (-29.7+0.667×Peak body temperature (℃)+0.004×LDH (U/L))/(1+exp (-29.7+0.667×Peak body temperature (℃)+0.004 × LDH (U/L))), the cut-off value to predict RMPP was 0.12, with a consensus of probability forecast of 0.89, sensitivity of 0.89, and specificity of 0.67; and the area under ROC curve was 0.682 (95% CI 0.593-0.771, P<0.01). Conclusion:In MPP patients with fever over 48 to <120 hours, a prediction probability π of RMPP can be calculated based on the peak body temperature and LDH level before the first visit, which can facilitate early identification of RMPP.

Objective To explore the effects and mechanism of Baitouweng Decoction in intestinal mucosal healing in mice with ulcerative colitis(UC)based on RIPK1/RIPK3/MLKL signaling pathway.Methods Totally 30 C57BL/6 male mice were randomly divided into control group,model group,Baitouweng Decoction group,infliximab group and combination group(Baitouweng Decoction+infliximab),with 6 mice in each group.A mouse model of UC was established by free administration of 3.5%sodium gluconate sulfate solution for 7 days.After modeling,Baitouweng Decoction group was given 8 g/kg Baitouweng Decoction solution by gavage daily,while the infliximab group was given 5 mg/kg infliximab intraperitoneal injection,the combination group was given synchronous gastric and intraperitoneal injection,while the control group and model group were given equal volume of normal saline by gavage for 7 consecutive days.The body mass of mice was recorded daily,fecal characteristics were observed,and disease activity index(DAI)score was performed,colon length was measured after intervention,ELISA was used to detect the contents of serum interleukin-6(IL-6)and tumor necrosis factor-α(TNF-α),RT-qPCR was used to detect mRNA expressions of RIPK1,RIPK3 and MLKL in colon tissue,Western blot and immunofluorescence staining were used to detect the expressions of RIPK1,RIPK3 and MLKL protein in colon tissue.Results Compared with the control group,the model group mice showed a decrease in body mass(P<0.01),an increase in DAI score(P<0.01),a shortened colon length(P<0.01),and an increase in serum IL-6 and TNF-α content(P<0.01);colonic mucosal was destructed,with disappearance of crypts and glandular structures,extensive infiltration of inflammatory cells,and increased pathological score of colon tissue(P<0.01);the mRNA and protein expressions of RIPK1,RIPK3 and MLKL in colon tissue increased(P<0.01,P<0.05).Compared with the model group,the body mass of mice in each treatment group increased(P<0.01),and the DAI score decreased(P<0.01),colon length increased(P<0.01),and the contents of serum IL-6 and TNF-α decreased(P<0.05,P<0.01);the destruction of the colonic mucosal barrier was reduced,the pathological score of colon tissue was reduced(P<0.05);the expressions of RIPK1,RIPK3 and MLKL mRNA and protein in colon tissue decreased(P<0.05,P<0.01).Conclusion Baitouweng Decoction can alleviate intestinal mucosal damage and inflammation in UC mice,and its mechanism may be related to the inhibition of the RIPK1/RIPK3/MLKL signaling pathway.

Objective:To construct a multi-sequence MRI radiomics combined with KRAS mutation nomogram model to predict the efficacy of pathological complete response (pCR) in patients with rectal cancer after neoadjuvant chemoradiotherapy.Methods:This study was a case-control study. A total of 126 patients with rectal cancer who were treated with neoadjuvant chemoradiotherapy in the Second Affiliated Hospital of Harbin Medical University from June 2020 to December 2023 were retrospectively collected. The pathological response of the postoperative specimens was graded, with 64 cases of pCR and 62 cases of non-pCR. KRAS gene detection was performed on the pathological tissues before neoadjuvant chemoradiotherapy. Among the patients, 34 cases had KRAS mutants and 92 cases had KRAS wild-types. The 126 patients were randomly divided into a training set and a validation set at a ratio of 8∶2 by the random number method, with 101 and 25 cases, respectively. The difference in KRAS mutation status between the pCR group and the non-pCR group was compared by the χ2 test. The radiomic features were extracted from the baseline T 2WI, diffusion-weighted imaging, and apparent diffusion coefficient images of the patients. The optimal radiomic features were screened out to establish the radiomics model. The radiomics-KRAS joint model was constructed by logistic regression, and a nomogram was drawn. The application efficiency of the model was evaluated by the receiver operating characteristic curve and calibration curve. Results:There was a statistically significant difference in KRAS mutation between the pCR group and the non-pCR group in the training set ( χ2=4.69, P=0.032). Ten radiomics features were screened out in MRI images to establish the radiomics model. In the training set and validation set, the areas under the curve (AUC) of KRAS mutation, radiomics model and radiomics-KRAS nomogram model for evaluating pCR after neoadjuvant chemoradiotherapy were 0.665 (95% CI 0.592-0.757), 0.746 (95% CI 0.651-0.895) and 0.818 (95% CI 0.742-0.934), respectively, and the AUCs of the validation set were 0.613 (95% CI 0.582-0.755), 0.738 (95% CI 0.627-0.839) and 0.833 (95% CI 0.768-0.961), respectively. The results of DeLong test showed that the AUC of radiomics-KRAS nomogram model was higher than that of KRAS mutation and radiomics model, and the difference was statistically significant ( Z=0.58, 0.63, P=0.024, 0.022 in the training set; Z=0.54, 0.61, P=0.018, 0.035 in the validation set). The calibration curve showed that the predicted probability of the radiomics-KRAS nomogram model was consistent with the actual probability. Conclusions:The multi-sequence MRI radiomics combined with the KRAS mutation nomogram model has the best efficacy in predicting pCR in patients with rectal cancer after neoadjuvant chemoradiotherapy, and has good practical application value.