Background:Acute pancreatitis(AP)is a common disease of the digestive system,among which severe acute pancreatitis(SAP)has a high mortality rate.Finding more accurate and convenient methods for early recognition of SAP is one of the major challenges in clinical treatment.Aims:To explore the application value of the controlled attenuation parameter(CAP)of ultrasound elastography in predicting SAP.Methods:A retrospective cohort study was conducted involving 135 AP patients admitted to Jiading Branch of Shanghai General Hospital from February to October 2024.Patients were categorized into non-SAP and SAP groups according to the severity of the disease.Clinical data,local complications,laboratory indicators,and CAP were compared between the two groups.Univariate and multivariate Logistic regression analyses were used to identify independent risk factors for SAP.A SAP prediction model based on CAP was constructed according to the identified risk factors and the minimum Akaike information criterion(AIC).ROC curve and Bootstrap method were used to evaluate the efficacy of the prediction model and conduct internal validation,respectively.Results:There were statistically significant differences between the non-SAP group and SAP group in body mass index(BMI),incidence of hyperlipidemia,etiological composition,incidence of pleural and ascitic fluid,length of hospital stay,incidence of peripancreatic effusion,incidence of pancreatic necrosis,white blood cell count(WBC),D-dimer(D-D)level,blood glucose,triglyceride(TG),C-reactive protein(CRP),neutrophil count,procalcitonin(PCT),interleukin-6(IL-6),free triiodothyronine(FT3),and CAP(all P<0.05).Multivariate Logistic regression analysis showed that pancreatic necrosis(OR=13.39,95%CI:3.10-57.94,P<0.001)and CAP(OR=1.01,95%CI:1.01-1.02,P=0.038)were independent risk factors for SAP.The SAP prediction model based on CAP was formulated as:Logit(P)=-5.884+0.010×CAP+2.839×pancreatic necrosis+0.169×D-D+0.132×blood glucose+0.006×CRP.The model showed an area under the curve(AUC)of 0.834 for predicting SAP,which was superior to CAP alone(P<0.05).Internal validation indicated that the prediction model had high stability and accuracy(C-index=0.808).Conclusions:The prediction model constructed based on CAP has good clinical value for predicting SAP,providing a new perspective and tool for early identification and prognostic assessment of AP.

Background:Acute pancreatitis(AP)is a common disease of the digestive system,among which severe acute pancreatitis(SAP)has a high mortality rate.Finding more accurate and convenient methods for early recognition of SAP is one of the major challenges in clinical treatment.Aims:To explore the application value of the controlled attenuation parameter(CAP)of ultrasound elastography in predicting SAP.Methods:A retrospective cohort study was conducted involving 135 AP patients admitted to Jiading Branch of Shanghai General Hospital from February to October 2024.Patients were categorized into non-SAP and SAP groups according to the severity of the disease.Clinical data,local complications,laboratory indicators,and CAP were compared between the two groups.Univariate and multivariate Logistic regression analyses were used to identify independent risk factors for SAP.A SAP prediction model based on CAP was constructed according to the identified risk factors and the minimum Akaike information criterion(AIC).ROC curve and Bootstrap method were used to evaluate the efficacy of the prediction model and conduct internal validation,respectively.Results:There were statistically significant differences between the non-SAP group and SAP group in body mass index(BMI),incidence of hyperlipidemia,etiological composition,incidence of pleural and ascitic fluid,length of hospital stay,incidence of peripancreatic effusion,incidence of pancreatic necrosis,white blood cell count(WBC),D-dimer(D-D)level,blood glucose,triglyceride(TG),C-reactive protein(CRP),neutrophil count,procalcitonin(PCT),interleukin-6(IL-6),free triiodothyronine(FT3),and CAP(all P<0.05).Multivariate Logistic regression analysis showed that pancreatic necrosis(OR=13.39,95%CI:3.10-57.94,P<0.001)and CAP(OR=1.01,95%CI:1.01-1.02,P=0.038)were independent risk factors for SAP.The SAP prediction model based on CAP was formulated as:Logit(P)=-5.884+0.010×CAP+2.839×pancreatic necrosis+0.169×D-D+0.132×blood glucose+0.006×CRP.The model showed an area under the curve(AUC)of 0.834 for predicting SAP,which was superior to CAP alone(P<0.05).Internal validation indicated that the prediction model had high stability and accuracy(C-index=0.808).Conclusions:The prediction model constructed based on CAP has good clinical value for predicting SAP,providing a new perspective and tool for early identification and prognostic assessment of AP.

Objective To analyze the effect of lumbar bone marrow composition on bone marrow diffu-sion-weighted imaging(DWI)in healthy adult women.Methods Retrospective analysis was performed on up-per abdominal MRI of 103 adult women.Bone marrow fat fraction of lumbar vertebra was measured according to two-point water-lipid separation technique,and apparent diffusion coefficient(ADC)value of lumbar verte-bra was measured according to DWI image(b=800 s/mm2).The subjects were divided into the high-signal group and the equal-low-signal group according to the signal intensity of lumbar vertebra and adjacent erector spine muscles.The effects of age,lumbar bone marrow fat fraction and menstrual status on the signal intensity and ADC value of lumbar bone marrow diffusion were analyzed.Finally,the correlation between lumbar bone marrow fat fraction and ADC value was analyzed.Results Univariate analysis showed that the lumbar bone marrow diffusion signal intensity and ADC value were affected by age,lumbar bone marrow fat fraction and menstrual status(P＜0.001).Multivariate analysis showed that age(P=0.046)and lumbar bone marrow fat fraction(P=0.005)were the influencing factors of lumbar bone marrow diffusion signal intensity,but men-strual status(P=0.242)was not the influencing factor.In addition,lumbar bone marrow fat fraction(P＜0.001)was the factor influencing the ADC value of lumbar bone marrow,and the two were negatively correla-ted(r=-0.607,P＜0.001),but age(P=0.497)and menstrual status(P=0.082)were not the influencing factors.Conclusion The bone marrow composition of lumbar vertebrae in healthy adult women has significant effects on the signal intensity and ADC value of bone marrow diffusion.

Objective To screen out the biomarkers linked to prognosis of breast invasive carcinoma based on the analysis of transcriptome data by random forest(RF),extreme gradient boosting(XGBoost),light gradient boosting machine(LightGBM),and categorical boosting(CatBoost).Methods We obtained the ex-pression data of breast invasive carcinoma from The Cancer Genome Atlas and employed DESeq2,t-test,and Cox univariate analysis to identify the differentially expressed protein-coding genes associated with survival prog-nosis in human breast invasive carcinoma samples.Furthermore,RF,XGBoost,LightGBM,and CatBoost mod-els were established to mine the protein-coding gene markers related to the prognosis of breast invasive cancer and the model performance was compared.The expression data of breast cancer from the Gene Expression Omnibus was used for validation.Results A total of 151 differentially expressed protein-coding genes related to survival prog-nosis were screened out.The machine learning model established with C3orf80,UGP2,and SPC25 demonstrated the best performance.Conclusions Three protein-coding genes(UGP2,C3orf80,and SPC25)were screened out to identify breast invasive carcinoma.This study provides a new direction for the treatment and diagnosis of breast invasive carcinoma.

There has been a significant increase in the number of patients with alcoholic pancreatitis in recent years, and the pathogenesis of alcoholic pancreatitis is associated with various factors including genetic factors, smoking, and gut microbiota. Alcoholic pancreatitis is different from other types of pancreatitis in epidemiological features and clinical manifestations. This article reviews the research advances in the epidemiological features, pathogenesis, clinical manifestations, treatment, and prognosis of alcoholic pancreatitis.

Objective To analyze the detection results of apolipoprotein B (ApoB) and serum uric acid (SUA) in patients with non-alcoholic fatty liver disease (NAFLD). Methods A total of150 NAFLD patients admitted to our hospital were selected as study group, and 150 healthy people with physical examination in the same period were as the control group. Low density lipoprotein cholesterol (LDL-C), triglyceride (TG), alanine aminotransferase (ALT), waist-hip ratio (WHR), body mass index (BMI), total cholesterol (TC), ApoB, creatinine (Cr), SUA levels were measured in the two groups. The correlation between SUA, ApoB and NAFLD was analyzed by multiple Logistic regression analysis. At the same time, smoking, coronary heart disease, diabetes and hypertension were compared between the two groups. Results The levels of LDL-C, TG, ALT, WHR, TC, BMI, SUA and ApoB in the study group were higher than those in the control group (P ＜ 0. 05). The levels of Cr in the study group were significantly lower than those in the control group (P ＜ 0. 05). The results of multiple Logistic regression analysis showed that the levels of SUA and ApoB were independently and positively correlated with NAFLD and were independent risk factors for NAFLD. The incidences of smoking, coronary heart disease, diabetes mellitus and hypertension were significantly higher than that of the control group (P ＜ 0. 05). Conclusion The levels of SUA and ApoB are positively correlated with NAFLD. The higher the levels of SUA and ApoB are, the higher the incidence of cardiovascular disease is. Therefore, blood lipid intervention should be carried out in time to control the development of NAFLD.

Objective To analyze the detection results of apolipoprotein B (ApoB) and serum uric acid (SUA) in patients with non-alcoholic fatty liver disease (NAFLD). Methods A total of150 NAFLD patients admitted to our hospital were selected as study group, and 150 healthy people with physical examination in the same period were as the control group. Low density lipoprotein cholesterol (LDL-C), triglyceride (TG), alanine aminotransferase (ALT), waist-hip ratio (WHR), body mass index (BMI), total cholesterol (TC), ApoB, creatinine (Cr), SUA levels were measured in the two groups. The correlation between SUA, ApoB and NAFLD was analyzed by multiple Logistic regression analysis. At the same time, smoking, coronary heart disease, diabetes and hypertension were compared between the two groups. Results The levels of LDL-C, TG, ALT, WHR, TC, BMI, SUA and ApoB in the study group were higher than those in the control group (P ＜ 0. 05). The levels of Cr in the study group were significantly lower than those in the control group (P ＜ 0. 05). The results of multiple Logistic regression analysis showed that the levels of SUA and ApoB were independently and positively correlated with NAFLD and were independent risk factors for NAFLD. The incidences of smoking, coronary heart disease, diabetes mellitus and hypertension were significantly higher than that of the control group (P ＜ 0. 05). Conclusion The levels of SUA and ApoB are positively correlated with NAFLD. The higher the levels of SUA and ApoB are, the higher the incidence of cardiovascular disease is. Therefore, blood lipid intervention should be carried out in time to control the development of NAFLD.

The Fibulin family is a kind of secreted glycoprotein,belonging to the extracellular matrix protein.A total of 7 family members are widely distributed in basement membrane,elastic fiber and loose connective tissue.The Fibulin family is widely involved in the regulation of cell morphology,growth and adhesion.When Fibulin is disturbed,it can cause a range of diseases,such as skin laxity,tooth hypoplasia and various tumors.The researches show that Fibulin-1 is expressed abnormally in fibrosarcoma,gastric cancer and liver cancer,and the expression of Fibulin-2 is down-regulated in breast cancer and up-regulated in lung cancer.The other members of the family also show abnormal expression in various tumor tissues,which indicates the members of the Fibulin family play important roles in the genesis and development of tumors.

Objective To investigate the short-term efficacy and safety of gefitinib combined with dendritic cells-cytokine induced killer (DC-CIK) cells in the treatment of advanced lung adenocarcinoma.Methods Fifty patients with lung adenocarcinoma who in previous had underwent radiotherapy and first-line chemotherapy failure received DC-CIK in combination with gefitinib treatment,blood count changes,imaging data,carcinoembryonic antigen and changes in the quality of life before and after treatment were compared and evaluated.Results DC-CIK could improve effectively and relieve bone marrow suppression response after chemotherapy and significantly increase the WBC content of blood (P ＜ 0.01).After treatment,the tumor carcinoembryonic antigen (CEA) was significantly lower in patients (P ＜ 0.01).Fifty cases of patients in complete remission (CR) were 0 cases,partial remission (PR) were 24 cases,stable disease (SD) were 17 cases and progression (PD) were 9 cases,and the response rates (RR) were 48％;The quality of life of patients was significantly improved (P ＜ 0.05).Common adverse reactions were rash,diarrhea,chill and fever,but mild symptoms could be relieved after symptomatic treatment.Conclusions Gefitinib with autologous DC-CIK cell infusion second-line treatment of advanced lung cancer have a certain short-term efficacy,without significant adverse reactions.Gefitinib with autologous DC-CIK cell therapy can mitigate the response of bone marrow suppression in patients with advanced lung cancer and improve the quality of life of patients.Long-term effect remains to be investigated.

OBJECTIVETo investigate the clinical influence factors of oral-maxillofacial benign tumors.

METHODSWe conducted a case-control study with 113 cases newly diagnosed primary oral-maxillofacial benign tumors and 584 cases controls from a hospital in Fujian from September 2010 to January 2015. Epidemiological data were collected by in-person interviews using a standard questionnaire. The contents of the questionnaire included demography character, history of tobacco smoking and alcohol drinking, dietary habits, oral hygiene status, family history of cancer, etc. Unconditional logistic regression was used to research the relationship between the factors and oral-maxillofacial benign tumors.

RESULTSMultivariable analysis showed that risk factors of oral-maxillofacial benign tumors included: cigarette smoking index above 1 000, passive smoking before the age of 18, age of wearing bad prosthesis between 33 to 55 years old and high blood pressure; the corresponding OR (95% CI) values were 14.63 (3.88-55.13), 2.34 (1.19-4.62), 2.35 (1.17-4.73), 3.46 (1.71-7.00), respectively; Protective factors included: regularly intake of meat above 1 time/day, fruits, health care products and vitamin tablets, brushing teeth above 1 time per day and oral examination above 5 years/time, the corresponding OR (95% CI) values were 0.22 (0.07-0.70), 0.18 (0.08-0.41), 0.32 (0.11-0.88), 0.22 (0.07-0.73), 0.28 (0.16-0.48), 0.28 (0.13-0.60), respectively.

CONCLUSIONAbstinence from tobacco smoking, reduce passive smoking before the age of 18, regularly intake of meat, fruits, health care products and vitamin tablets, and oral examination at regular time might have impact on the incidence of oral-maxillofacial benign tumors to a certain extent.

Alcohol Drinking ; Case-Control Studies ; Demography ; Diet ; Humans ; Incidence ; Logistic Models ; Mouth Neoplasms ; epidemiology ; Oral Hygiene ; Risk Factors ; Smoking ; Surveys and Questionnaires ; Tobacco Smoke Pollution