Objective To investigate the current status of symptom burden and psychological distress among lung cancer patients in the diagnostic phase, and to explore the chain mediating role of social support and resilience between symptom burden and psychological distress. Methods The patients with lung cancer in the diagnostic phase who were treated in the Department of Thoracic Surgery of the Second Xiangya Hospital of Central South University from October 2022 to June 2023 were investigated by a general information questionnaire using the MD Anderson Symptom Inventory, the Social Support Rating Scale, the Connor-Davidson Resilience Scale, and the Distress Thermometer. The chain mediating role of social support and resilience between symptom burden and psychological distress was analyzed. Results A total of 413 lung cancer patients were enrolled, including 173 males and 240 females, aged (54.69±10.82) years. The detection rate of psychological distress among lung cancer patients in the diagnostic phase was 48.18%, and the average score was (3.84±2.50) points. Psychological distress was positively correlated with symptom burden (P<0.01), and negatively correlated with social support and resilience (P<0.01). The mediating effect of resilience between symptom burden and psychological distress was significant. The chain mediating effect of social support and resilience between symptom burden and psychological distress was also significant. Conclusion Lung cancer patients in the diagnostic phase have a high detection rate of psychological distress. Symptom burden can directly impact psychological distress, and can affect psychological distress through the indirect path of resilience as well as the chain mediating path between social support and resilience among lung cancer patients in the diagnostic phase.

The focus of green analytical chemistry (GAC) is to minimize the negative impacts of analytical procedures on human safety, human health, and the environment. Several factors, such as the reagents used, sample collection, sample processing, instruments, energy consumed, and the quantities of hazardous materials and waste generated during analytical procedures, need to be considered in the evaluation of the greenness of analytical assays. In this study, we propose a greenness evaluation metric for analytical methods (GEMAM). The new greenness metric is simple, flexible, and comprehensive. The evaluation criteria are based on both the 12 principles of GAC (SIGNIFICANCE) and the 10 factors of sample preparation, and the results are presented on a 0-10 scale. The GEMAM calculation process is easy to perform, and its results are easy to interpret. The output of GEMAM is a pictogram that can provide both qualitative and quantitative information based on color and number.

Objective To investigate the changes and predictive value of Omentin-1 levels in patients with type 2 diabetes mellitus(T2DM)under different bone metabolic status.Methods A total of 120 T2DM pa-tients admitted to a hospital from June 2021 to December 2022 were selected and divided into group A(normal bone mass,T-value-1.0,36 cases),Group B(bone loss,-2.5＜T-value＜-1.0,49 cases)and group C(osteoporosis,T-value-2.5,35 cases)according to different bone mineral density.Another 50 healthy sub-jects who underwent physical examination in a hospital during the same period were selected as the healthy control group.Basic data,serum Omentin-1 and bone metabolism levels of the 4 groups were compared,and the correlation between serum Omentin-1 and bone metabolism and blood glucose levels was analyzed by Pear-son correlation analysis.Multiple stepwise regression analysis was conducted to analyze the factors affecting bone mineral density in T2DM patients.Receiver operating characteristic(ROC)curve was drawn to analyze the predictive value of serum Omentin-1 level in T2DM with osteoporosis.Results The fasting blood glucose(FBG)level of groups A,B and C was higher than that of healthy control group,and the hemoglobin A1c(HbA1c)and homeostasis model assessment of insulin resistance(HOMA-IR)of healthy control group,group A and group B were lower than that of group C,with statistical significance(P＜0.05).Omentin-1,type Ⅰ procollagen N-terminal propeptide(P Ⅰ NP)and osteocalcin(BGP)in healthy control group,group A and group B were higher than those in group C,while the β-CTX sequence of type Ⅰ collagen in healthy con-trol group,group A and group B was lower than that in group C,and the difference was statistically signifi-cant(P＜0.05).Pearson correlation analysis showed that the serum Omentin-1 level in T2DM patients was negatively correlated with the levels of HbA1c,HOMA-IR and β-CTX(r=-0.770,-0.807,-0.759,P＜0.05),and positively correlated with the levels of P Ⅰ NP and BGP(r=0.868,0.879,P＜0.05),but no sig-nificant correlation with FBG level(r=-0.085,P=0.152).Omentin-1,P Ⅰ NP,β-CTX,BGP,HbA1c and HOMA-IR were independent influencing factors of BMD in T2DM patients(P＜0.05).ROC curve analysis showed that the area under the curve of serum Omentin-1 level predicting T2DM with osteoporosis was 0.835(95％CI:0.764-0.906),and when the cut-off value was 50.325 ng/mL,the sensitivity was 0.854,the speci-ficity was 0.801,and the Youden index was 0.655.Conclusion Serum Omentin-1 expression is low in T2DM patients,and its expression is closely related to bone mineral density,bone metabolism and insulin resistance in T2DM patients,and can effectively predict the occurrence of T2DM with osteoporosis.

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.

Irreversible electroporation(IRE)technology may induce cell apoptosis without generating thermal effect nor vascular structure injuries through electric fields,which has better therapeutic effect when combining with chemotherapy and/or immunotherapy,hence becoming a new option of treating malignant tumors.The mechanisms of IRE and relative research progresses for treating malignant tumors were reviewed in this article.

Cervical lymph node metastasis(CLNM)is an important risk factor for recurrence of thyroid cancer,and ultrasound is the first imaging method for preoperative assessing status of cervical lymph node.Ultrasound contrast agents can be used to enhance the echo difference between target site and surrounding tissue,reflect microvascular perfusion and improve diagnostic accuracy.As a new ultrasound contrast agent approved for sale in China in recent years,Sonazoid demonstrated good stability and unique ability of vascular late-phase imaging.The physical properties and preliminary application progresses of Sonazoid in CLNM of thyroid cancer were reviewed in this article.

Green analytical chemistry (GAC) focuses on mitigating the adverse effects of analytical activities on human safety, human health, and environment. In addition to the 12 principles of GAC, proper GAC tools should be developed and employed to assess the greenness of different analytical assays. The 15 widely used GAC metrics, i.e., national environmental methods index (NEMI), advanced NEMI, assessment of green profile (AGP), chloroform-oriented toxicity estimation scale (ChlorTox Scale), Analytical Eco-Scale, Green Certificate Modified Eco-Scale, analytical method greenness score (AMGS), green analytical procedure index (GAPI), ComplexGAPI, red-green-blue (RGB) additive color model, RGB 12 algorithm, analytical greenness calculator (AGREE), AGREE preparation (AGREEprep), HEXAGON, and blue applicability grade index (BAGI), are selected as the typical tools. This article comprehensively presents and elucidates the principles, characteristics, merits, and demerits of 15 widely used GAC tools. This review is helpful for researchers to use the current GAC metrics to assess the environmental sustainability of analytical assays.

Objective To explore the diagnostic value of Young's modulus obtained by real-time shear wave elastography (SWE) for liver fibrosis in autoimmune hepatitis (AIH) patients. Methods A total of 75 AIH patients in the First Affiliated Hospital of Zhengzhou University from January 2013 to April 2022 were retrospectively enrolled. Scheuer scoring system was used to evaluate degrees of liver fibrosis (S0-S4). By using pathological examination of liver tissues as the golden standard, the receiver operating characteristic curve (ROC) was plotted and the area under the curve (AUC) was used to evaluate the diagnostic value of SWE for the significant fibrosis (≥S2), advanced liver fibrosis (≥S3), and liver cirrhosis (S4), respectively. Independent sample t test was used for comparison of continuous data with normal distribution between the two groups. The Kruskal-Wallis H test was used for comparison of non-normally distributed continuous data between multiple groups and Bonferroni method was used for further comparison between two groups. The Spearman correlation coefficient was used for correlation analysis. The logistic regression analysis was used to predict the impact factors in diagnosis accuracy. Results The Young's modulus measured by SWE was statistically significant different among various fibrosis groups ( H =35.186, P < 0.001) although there was no statistical significance in patients' age and platelet, alanine aminotransferase, aspartate aminotransferase, total bilirubin, alkaline phosphatase, and glutamyl transpeptidase levels (all P > 0.05). The Young's modulus measurement was positively correlated with liver fibrosis ( r =0.675, P < 0.05). The AUCs of SWE in the diagnosis of≥S2, ≥S3, and S4 were 0.839, 0.820 and 0.898, respectively and the corresponding optimum cut-off values were 9.2, 10.9, and 14.4 kPa, respectively. The overall concordance rate of the liver Young' s modulus measurements vs . fibrosis stages was 57.33%. Moreover, the alkaline phosphatase level was an independent predictor for diagnostic accuracy of SWE for stage 0-1 fibrosis ( OR =1.009, 95% CI : 1.001-1.018, P =0.029). Conclusion The SWE possessed a diagnosis value for the significant fibrosis (≥S2), advanced liver fibrosis (≥S3) and liver cirrhosis (S4), although there was a low overall concordance rate in the liver Young's modulus measurements obtained using SWE vs. fibrosis stages.

ObjectiveTo explore the risk factors of stroke， and to provide reference for the prevention and health management of stroke. MethodsFrom February 2022 to March 2022， four community residents over 60 years old with stroke in Shanghai were randomly selected as the case group （n=100）， and non-stroke residents were selected as the control group （n=100）. The survey was in the form of questionnaires to record and compare the age， body mass index （BMI）， blood lipids， blood pressure-related indicators， family history of other diseases， living habits， mood and sleep conditions of all subjects. The value of predicting the incidence of stroke among the elderly in Shanghai community was analyzed by receiver operating characteristic （ROC）， and the influencing factors of stroke were analyzed by logistic model. ResultsBMI， hypertension， heart disease， diabetes， transient ischemic attack （TIA）， dyslipidemia， family history of stroke， smoking， lack of exercise or only light physical labor， SBP， DBP， TG levels were significantly higher in the case group （P<0.05）. The level of HDL-C was significantly lower than that in the control group （P<0.05）. BMI， SBP， DBP， TG， HDL-C predicted the incidence of stroke by ROC analysis （P<0.05）. Logistic regression analysis showed that BMI≥23.820 kg·m^-2， heart disease， diabetes， TIA， dyslipidemia， family history of stroke， smoking， lack of exercise or only light physical labor， SBP≥139.535 mmHg， DBP≥89.605 mmHg， TG≥1.565 mmol·L^-1 and HDL-C≤1.105 mmol·L^-1 were risk factors for stroke （P<0.05）. ConclusionPhysical health status including blood lipids and blood pressure， family history of certain diseases， and living habits could be important risk factors for stroke in the elderly in Shanghai community. Preventive intervention measures for the above factors have important clinical significance.

Studies have shown that ABO blood group is related to the susceptibility and disease progression of SARS-CoV-2 infection, and most studies indicated that group O individuals were less likely to get infected while group A conferred a higher susceptibility to infection and propensity to severe disease. ABO blood group antigens are oligosaccharides expressed on red cells and other tissues. People with different ABO blood type have different susceptibility to a variety of pathogens, including SARS-CoV-2. There are several hypotheses to explain the differences in SARS-CoV-2 infection between ABO blood group individuals. Firstly, anti-A and/or anti-B antibodies could bind to corresponding antigens on the viral envelope and contribute to viral neutralization, thereby preventing target cell from being infected. The SARS-CoV-2 virus and SARS-CoV spike (S) proteins may be bound by anti-A isoagglutinin, which may block interactions between virus and angiotensin-converting-enzyme-2-receptor, thereby preventing entering into lung epithelial cells. Secondly, the receptor binding domain (RBD) of S protein domain can bind to antigen A expressed in respiratory epithelium and promote its infection to respiratory epithelial cells. In conclusion, most studies indicated that group O may be associated with a lower risk of SARS-CoV-2 infection while group A with a higher risk along with severe disease, and the related mechanism needs to be further studied.