Objective To comparatively observe the value of different machine learning(ML)models for predicting cervical lymph node metastasis(CLNM)of papillary thyroid carcinoma(PTC).Methods Totally 207 patients with pathologically diagnosed PTC were enrolled and divided into metastasis group(n=103)and non-metastasis group(n=104)according to lymph nodes pathology findings after surgical resection,also divided into training set(n=144)and validation set(n=63)with a ratio of 7∶3.Random forest(RF),decision tree(DT),K-nearest neighbor(KNN),logistic regression(LR)and support vector machine(SVM)models were constructed through combining clinical information and ultrasonic manifestations of lymph nodes.Receiver operating characteristic curves were drawn,and the areas under the curve(AUC)were calculated to evaluate the efficacy of these ML models for predicting PTC CLNM.Results Patients'age,transverse diameter/longitudinal diameter ratio of lymph node≥0.5,lymph nodes with cystic change,microcalcification,disappearance of lymphatic gate,hypoechoic mass and unclear border were all impact factors of PTC CLNM,among which microcalcification had the highest contribution to the models.In training set,AUC of DT and RF models were both 0.987,with accuracy reached 93.06%.In validation set,AUC of DT and RF models was 0.817 and 0.895,respectively,all higher than those of other models.The accuracy,specificity and positive predictive value of RF model in validation set was 84.13%,93.10%and 92.86%,respectively,and RF model was the best one among all 5 ML models.Conclusion Among different ML models,RF model was the best one for predicting PTC CLNM.

Objective To comparatively observe the value of different machine learning(ML)models for predicting cervical lymph node metastasis(CLNM)of papillary thyroid carcinoma(PTC).Methods Totally 207 patients with pathologically diagnosed PTC were enrolled and divided into metastasis group(n=103)and non-metastasis group(n=104)according to lymph nodes pathology findings after surgical resection,also divided into training set(n=144)and validation set(n=63)with a ratio of 7∶3.Random forest(RF),decision tree(DT),K-nearest neighbor(KNN),logistic regression(LR)and support vector machine(SVM)models were constructed through combining clinical information and ultrasonic manifestations of lymph nodes.Receiver operating characteristic curves were drawn,and the areas under the curve(AUC)were calculated to evaluate the efficacy of these ML models for predicting PTC CLNM.Results Patients'age,transverse diameter/longitudinal diameter ratio of lymph node≥0.5,lymph nodes with cystic change,microcalcification,disappearance of lymphatic gate,hypoechoic mass and unclear border were all impact factors of PTC CLNM,among which microcalcification had the highest contribution to the models.In training set,AUC of DT and RF models were both 0.987,with accuracy reached 93.06%.In validation set,AUC of DT and RF models was 0.817 and 0.895,respectively,all higher than those of other models.The accuracy,specificity and positive predictive value of RF model in validation set was 84.13%,93.10%and 92.86%,respectively,and RF model was the best one among all 5 ML models.Conclusion Among different ML models,RF model was the best one for predicting PTC CLNM.

Objective To investigate the influencing factors for chronic pancreatitis(CP)complicated by pancreatogenic portal hypertension(PPH),and to establish a predictive model.Methods A retrospective analysis was performed for the clinical data of 99 patients with CP complicated by PPH who were hospitalized in The First Affiliated Hospital of Kunming Medical University,Chuxiong Yi Autonomous Prefecture People's Hospital,Wenshan People's Hospital,and Puer People's Hospital from January 2017 to December 2022,and these patients were enrolled as PPH group.The incidence density sampling method was used to select 198 CP patients from databases as control group.The independent-samples t test was used for comparison of normally distributed continuous data between two groups,and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups;the chi-square test or the Fisher's exact test was used for comparison of categorical data between two groups.The Least Absolute Shrinkage and Selection Operator(LASSO)regression model was used to identify the potential predictive factors for CP complicated by PPH,and the predictive factors obtained were included in the multivariate Logistic regression analysis to obtain independent risk factors,which were used to establish a nomogram prediction model.The receiver operating characteristic(ROC)curve,the calibration curve,and the Hosmer-Lemeshow goodness-of-fit test were used to perform internal validation of the model,and the clinical decision curve was used to assess the clinical practicability of the model.Results There were significant differences between the two groups in sex,history of recurrent acute pancreatitis attacks,acute exacerbation of CP,bile duct stones,peripancreatic fluid accumulation,pseudocysts,pulmonary infection,elevated C-reactive protein(CRP),elevated procalcitonin,fibrinogen(FIB),neutrophil-lymphocyte ratio(NLR),gamma-glutamyl transpeptidase,total bilirubin,direct bilirubin,low-density lipoprotein(LDL),serum amylase,D-dimer,and serum albumin(all P<0.05).The predictive variables obtained by the LASSO regression analysis included sex,recurrent acute pancreatitis attacks,bile duct stones,peripancreatic fluid accumulation,pulmonary infection,pseudocysts,CRP,NLR,FIB,and LDL.The multivariate Logistic regression analysis showed that sex(odds ratio[OR]=2.716,P<0.05),recurrent acute pancreatitis attacks(OR=2.138,P<0.05),peripancreatic fluid accumulation(OR=2.297,P<0.05),pseudocysts(OR=2.805,P<0.05),and FIB(OR=1.313,P<0.05)were independent risk factors for CP complicated by PPH.The above factors were fitted into the model,and the Bootstrap internal validation showed that the nomogram model had an area under the ROC curve of 0.787(95%confidence interval:0.730—0.844),and the calibration curve was close to the reference curve.The Hosmer-Lemeshow goodness-of-fit test showed that the model had a good degree of fitting(χ2=7.469,P=0.487).The clinical decision curve analysis showed that the prediction model had good clinical practicability.Conclusion Male sex,recurrent acute pancreatitis attacks,peripancreatic fluid accumulation,pseudocysts,and FIB are independent risk factors for CP complicated by PPH,and the nomogram model established has good discriminatory ability,calibration,and clinical practicability.

Objective To analyze the composition and influencing factors of the hospitalization expenses of patients with cardiovascular and cerebrovascular diseases who has participated in basic medical insurance, and to provide evidence for controlling excessive increase in the hospitalization expenses and reducing the financial burden of patients. Methods The hospitalization information of 14,271 insured patients with cardiovascular and cerebrovascular diseases from January 1, 2019 to December 31, 2019 in Xianning City, Hubei Province was retrospectively collected. The basic information of the patients and the composition of their hospitalization expenses were descriptively analyzed, and the influencing factors of hospitalization expenses of the patients were analyzed by univariate analysis and logistic regression analysis. Results Among the patients included in the study, coronary heart disease, cerebral infarction, cerebral hemorrhage and essential hypertension were the four main types of cardiovascular and cerebrovascular diseases with the largest proportion of hospitalization expenses, accounting for 26.18%, 20.29%, 11.82% and 9.94%, respectively. The largest proportion of hospitalization expenses was treatment expenses and drug expenses, accounting for 44.09% and 32.52%, respectively. Logistic regression analysis showed that age, length of stay, type of insurance, type of cardiovascular and cerebrovascular diseases, whether there were other comorbidities or complications, and whether they visited tertiary medical institutions were the influencing factors of hospitalization expenses for patients with cardiovascular and cerebrovascular diseases. Conclusion It is necessary to strengthen the disease prevention and control for the elderly and patients with cardiovascular and cerebrovascular diseases such as coronary heart disease, cerebral infarction, cerebral hemorrhage and essential hypertension, accelerate the integration of the basic medical insurance system, scientifically and reasonably shorten the length of hospital stay, and strengthen the promotion of the hierarchical medical system.

Most early-stage cervical cancer patients achieve good recovery through surgical treatment and concurrent chemoradiotherapy. However, for patients with recurrent, metastatic cervical cancer, the available effective treatment is rare and the prognosis is poor. In recent years, with the development of immunotherapy, especially immune checkpoint inhibitors targeting programmed death-1 (PD-1) and its ligand (PD-L1) and cytotoxic T-lymphocyte associated protein-4 (CTLA-4) , such as pembrolizumab, nivolumab, ipilimumab, has made breakthrough progress in the treatment of recurrent or metastatic cervical cancer.

Objective:To evaluate the clinical efficacy and safety of omalizumab in the treatment of chronic spontaneous urticaria (CSU) .Methods:Clinical data were collected from 60 patients, who were diagnosed with CSU and received subcutaneous injections of omalizumab at a dose of 300 mg once every 4 weeks for 3 sessions in Hospital of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College from March 2020 to September 2020, and retrospectively analyzed. At weeks 0, 2, 4, 6, 8, 10 and 12, urticaria activity score over 7 days (UAS7) and chronic urticaria quality of life (CU-Q2oL) score were used to evaluate clinical symptoms and quality of life of patients. Changes in the use of other drugs were evaluated before and after the treatment with omalizumab. Paired t test was used to compare UAS7 or CU-Q2oL score before and after treatment. Results:All the 60 CSU patients received 12 weeks of omalizumab treatment. The baseline UAS7 score was 22.37 ± 8.88 points; after one session of the treatment, the UAS7 score dropped to 2.01 ± 5.13 points, reaching the treatment plateau; at week 12, it dropped to 0.6 ± 2.63 points, and 0 point (complete control) in 93.3% of the patients, 1-6 points (favorable control) in 3.3%; the time required for UAS7 score to decrease to 0 point was 22.4 ± 3.2 days. The baseline CU-Q2oL score was 34.10 ± 15.01 points; after one session of the treatment, the CU-Q2oL score dropped to 2.41 ± 7.18 points, reaching the treatment plateau; at week 12, it was 0.56 ± 2.90 points; the time required for CU-Q2oL score to drop to 0 point was 21.15 ± 16.02 days. After the combination treatment with omalizumab, a gradual decrease in dosage or withdrawal of previous therapeutic drugs was realized. At week 12, 39 patients (65%) achieved complete control, and withdrew all therapeutic drugs except omalizumab. During the treatment and follow-up, omalizumab showed good safety, and no adverse reactions were observed.Conclusion:Omalizumab at a dose of 300 mg once every 4 weeks is markedly effective and safe for the treatment of CSU, providing a new treatment option for CSU patients with poor response to traditional therapy.

Objective:This study aims to investigate the clinical features and prognostic factors of patients with diffuse large B-cell lymphoma (DLBCL) and assess the prognostic value of diabetes mellitus (DM) and hyperglycemia during DLBCL treatment in DLBCL.Methods:The clinical data of 481 newly diagnosed DLBCL patients from January 1, 2009 to December 31, 2019 at Tianjin Medical University Cancer Institute and Hospital and Sun Yat-sen University Cancer Center were retrospectively collected, focusing on their blood glucose levels before and during treatment. Cox regression method was used for univariate analysis to assess prognostic factors, and the Kaplan-Meier method was used to draw survival curves to assess the prognostic value of DM and hyperglycemia during DLBCL treatment in patients with DLBCL.Results:Eighty-two (17.0%) patients had DM before DLBCL diagnosis and treatment, and 88 (18.3%) patients had at least one blood glucose increase during DLBCL treatment. Cox univariate analysis showed that age, Ann Arbor stage, international prognostic index, and DM were associated with overall survival (OS) and progression-free survival (PFS) (all P<0.05) . The pairwise comparison between the two groups showed that the OS ( P=0.001) and PFS ( P<0.001) of patients with pre-existing DM were significantly worse than those of patients without abnormal blood glucose. Moreover, the OS ( P=0.003) and PFS ( P<0.001) of patients with hyperglycemia during DLBCL treatment were significantly worse than those of patients without abnormal blood glucose. No significant difference exists between patients with DM and patients with hyperglycemia during DLBCL treatment (OS, P=0.557; PFS, P=0.463) . Additionally, patients with adequate glycemic control during chemotherapy had a better prognosis compared with patients with poor glycemic control (OS, P=0.037; PFS, P=0.007) . Conclusion:DM is an important factor affecting the prognosis of patients with DLBCL. Moreover, hyperglycemia during treatment is related to the poor prognosis of patients with DLBCL.

Objective To investigate the protective mechanism of MEK1/2 inhibitor PD98059 on ox-LDL induced injury of human umbilical vein endothelial cells (HUVEC),and its influence on the expression of LOX-1.Methods HUVEC damage models were established by using ox-LDL and were treated with PD98059 later,divided into the negative control group,the ox-LDL group,the positive control group and the PD98059+ox-LDL group.The effect of inhibition of MEK1/2 on ox-LDL induced HUVEC damage was measured.Results Compared with the negative control group,the levels in the ox-LDL group of LOX-1,pMEK1/2,RhoA,ROCK1,ROCK2,TNF-α and IL-6 were increased significantly,the proliferations of HUVEC and the productions of NO were decreased (P＜0.05).Compared with the ox-LDL group,the levels in the positive control group and the PD98059+ox-LDL group of pMEK1/2,RhoA,ROCK1,ROCK2,TNF-α and IL-6 were decreased,the proliferation of HUVEC and the production of NO were increased (P＜0.05).Conclusion PD98059 inhibit the MEK1/2 signaling pathway to suppress the ox-LDL induced damage of HUVEC by decreasing the expression of LOX-1.

Objective: Hepatitis B surface antigen (HBsAg) loss is seldom achieved with nucleos(t)ide analog (NA) therapy in chronic hepatitis B patients but may be enhanced by switching to finite pegylated-interferon (Peg-IFN) alfa-2a. We assessed HBsAg loss with 48- and 96-week Peg-IFN alfa-2a in chronic hepatitis B patients with partial response to a previous NA. Methods: Hepatitis B e antigen (HBeAg)-positive patients who achieved HBeAg loss and hepatitis B virus DNA < 200 IU/mL with previous adefovir, lamivudine or entecavir treatment were randomized 1:1 to receive Peg-IFN alfa-2a for 48 (n = 153) or 96 weeks (n = 150). The primary endpoint of this study was HBsAg loss at end of treatment. The ClinicalTrials.gov identifier is NCT01464281. Results: At the end of 48 and 96 weeks' treatment, 14.4% (22/153) and 20.7% (31/150) of patients, respectively, who switched from NA to Peg-IFN alfa-2a cleared HBsAg. Rates were similar irrespective of prior NA or baseline HBeAg seroconversion. Among those who cleared HBsAg by the end of 48 and 96 weeks' treatment, 77.8% (14/18) and 71.4% (20/28), respectively, sustained HBsAg loss for a further 48 weeks. Baseline HBsAg < 1 500 IU/mL and week 24 HBsAg < 200 IU/mL were associated with the highest rates of HBsAg loss at the end of both 48- and 96-week treatment (51.4% and 58.7%, respectively). Importantly, extending treatment from 48 to 96 weeks enabled 48.3% (14/29) more patients to achieve HBsAg loss. Conclusion Patients on long-term NA who are unlikely to meet therapeutic goals can achieve high rates of HBsAg loss by switching to Peg-IFN alfa-2a. HBsAg loss rates may be improved for some patients by extending treatment from 48 to 96 weeks, although the differences in our study cohort were not statistically significant. Baseline and on-treatment HBsAg may predict HBsAg loss with Peg-IFN alfa-2a.

Objective To investigate the effect of cannabinoid receptor 1 ( CBR1 ) on spatial learning and memory function of neuropathic pain ( NP ) model rats and the expression of N-methyl-D-aspartic acid receptor 1(NR1) subunit in medial prefrontal cortex (mPFC).Methods Thirty-six healthy male Wistar rats were randomly divided into 4 groups, with 9 rats in each group: the sham operated group (SO group), the neuropathic pain model group (NP group), the NP model group with an mPFC injection of saline ( NS group ) , and the NP model group with an mPFC injection of the CBR 1 antagonist AM251 ( AM251 group).The NP model was prepared using the operation of chronic constriction injury ( CCI) of the right sciatic nerve.The mechanical withdrawal threshold ( MWT ) and the thermal withdrawal latency (TWL) of the rats in each group were detected at 3, 7, 14, 21 and 28 days after the operation.At 29 days after the operation , 18 rats of NP model were randomly selected and given an mPFC injection of saline or AM251 using a three-dimensional brain puncture.At days 30-37 after operation , the eight-arm maze test was performed to detect the spatial learning and memory function of the rats , and the rats were sacrificed immediately after this test.The expression levels of CBR1, NR1 and phosphorylated-N-methyl-D-aspartic acid receptor 1 ( p-NR1 ) ( Ser896 ) in the mPFC brain region were detected by Western blotting , RT-PCR and immunofluorescence.Results Compared with the SO group , the pain thresholds and the spatial learning and memory function of the rats in the NP group were significantly lower ( both P <0.05 ).Compared with the NS group , the rats in the AM251 group showed improvement about spatial learning and memory function ( P<0.05).Compared with the SO group ( the mRNA and protein level of CBR 1:0.23 ± 0.06,0.42 ±0.03), the mRNA(0.43 ±0.12) and protein (0.53 ±0.05) level of CBR1 in NP group increased (both P<0.05).Compared with the NS group (the mRNA and protein level of CBR1:0.42 ± 0.11,0.52 ±0.10), the mRNA (0.53 ±0.05) and protein (0.98 ±0.17) level of CBR1 in AM251 group increased (both P<0.05).Compared with the SO group (the mRNA and protein level of NR1 and the protein level of p-NR1:1.50 ±0.15,0.65 ±0.05,0.79 ±0.15), the mRNA (0.94 ±0.07) and protein (0.24 ±0.05) level of NR1 in NP group decreased (both P<0.05), the protein level of p-NR1 (0.33 ± 0.04) decreased (P<0.05).Compared with the NS group (the mRNA and protein level of NR1 and the protein level of p-NR1:1.09 ±0.14,0.26 ±0.06,0.31 ±0.08), the mRNA(1.58 ±0.10) and protein (1.42 ±0.10) level of NR1 in AM251 group increased (both P<0.05), the protein (0.95 ±0.15) level of p-NR1 increased ( P<0.05).Conclusion CBR1 can decrease the expression level of NR 1 and p-NR1 in the mPFC brain region of NP model rats and induce the spatial learning and memory impairment.