Objective To investigate the potential protective mechanism of tanshinone ⅡA against acetaminophen （APAP）-induced acute liver injury. Methods Thirty mice were randomly divided into the normal group, model group, low-dose tanshinone ⅡA group （5 mg/kg）, medium-dose tanshinone ⅡA group （10 mg/kg） and high-dose tanshinone ⅡA group （20 mg/kg）. All groups were intragastrically administered once daily for 7 consecutive days. On the 7th day, except for the normal group, mice in the remaining groups were intraperitoneally injected with 400 mg/kg APAP to establish the acute lung injury （ALI） model. The protective effect of tanshinone ⅡA was evaluated based on the liver weight ratio, the levels of aspartate aminotransferase （AST） and alanine aminotransferase （ALT）, and HE staining. Targets of tanshinone ⅡA were predicted by the Traditional Chinese Medicine Systems Pharmacology （TCMSP）, and a shared target protein-protein interaction （PPI） network was constructed by Search Tool for the Retrieval of Interacting Genes/Proteins （STRING） 11.5 in combination with disease targets from GeneCards. The Gene Ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） enrichment analysis was performed by Database for Annotation, Visualization and Integrated Discovery （DAVID）, and the component-target-pathway network was constructed. The molecular docking between tanshinone ⅡA and the core targets was performed by AutoDock and visualised. Results Compared with the normal group, the liver weight ratio and serum aminotransferase level of mice with acute liver injury were significantly elevated （P<0.05）, and the pathological injury of liver tissue was obvious. After tanshinone ⅡA treatment, the above index were significantly reduced （P<0.05）, and the pathological injury was significantly improved. Further network pharmacological analysis was carried out and found that KEGG pathway enrichment analysis focused on IL-17 signaling pathway and tumor necrosis factor （TNF） signaling pathway, etc. In addition, the PPI core network showed that the key targets of tanshinone ⅡA to ameliorate acute liver injury mainly included TP53, AKT1, SRC, TNF and JUN. The molecular docking results showed that tanshinone ⅡA had high binding scores with the targets of MMP9, NFKB1, TNF, EP300 and SMAD3; and was able to bind to the targets of TP53, AKT1, SRC and JUN. Conclusion Tanshinone ⅡA may play a protective role against acute liver injury by regulating genes such as AKT1, JUN and TNF, and participating in signaling pathways such as TNF and IL-17.

Objective:To develop and validate a combined model integrating radiomics, dosiomics, and clinical parameters based on CT simulation and dosimetric images in order to predict the occurrence of radiation pneumonitis (RP) in patients with non-small cell lung cancer (NSCLC).Methods:A retrospective study was conducted on the clinic data of 143 NSCLC patients who received radiotherapy at the Affiliated Hospital of Jining Medical University from January 2016 to December 2022. Patients were randomly stratified into a training group ( n = 100) and an internal validation group ( n = 43) at a 7∶3 ratio. Moreover, clinic data were collected from 34 NSCLC patients who received radiotherapy at the Jining Cancer Hospital between January 2019 and December 2022 as an external validation group. All three groups (the training group, internal validation, and external validation groups) were further categorized into two groups based on the RP severity (i.e., RP ≥ grade 2 and RP < grade 2). Their radiotherapy dose, CT simulation, and 3D dose distribution images were collected. Then, the total lung minus planning target volume (TL-PTV) was defined as the region of interest (ROI) for radiomics and dosiomic feature extraction, followed by feature dimensionality reduction. Consequently, key features associated with RP were determined. Four predictive models were developed using machine learning approaches (especially multilayer perceptron, MLP): a clinical model (CM), a radiomics model (RM), a dosiomics model (DM), and a radiomics and dosiomics nomogram (RDN), with a nomogram subsequently constructed. Ultimately, the performance and clinical feasibility of these models were assessed using receiver operating characteristic (ROC), area under the curve (AUC), and decision curve analysis (DCA). Results:A total of 1 834 radiomic features and 1 834 dosiomic features were extracted. Using the occurrence of RP ≥ grade 2 as the marker variable, 14 radiomic features, 15 dosiomic features, and three clinical features were selected from the training group to construct the prediction models (CM, RM, DM, and RDN). The performance and generalizability of these models were subsequently validated in both the internal validation and external validation groups. Specifically, the RDN exhibited AUCs of 0.915 (95% CI: 0.852-0.978), 0.879 (95% CI: 0.777-0.982), and 0.838 (95% CI: 0.701-0.975) in the three groups, respectively. A nomogram was established for RDN by integrating the radiomics score (R-score), dosiomics score (D-score), mean lung dose (MLD), V20, and V30. This nomogram allowed for individualized risk estimation of RP and facilitated personalized radiotherapy planning. Conclusions:The RDN model that is developed based on CT simulation and 3D dose distribution images and integrates radiomics, dosiomics, and clinical features can effectively predict the RP risk of NSCLC patients. The integration of multidimensional data contributes to the formation of the optimal predictive model, offering guidance for clinicians.

Objective:To develop and validate a combined model integrating radiomics, dosiomics, and clinical parameters based on CT simulation and dosimetric images in order to predict the occurrence of radiation pneumonitis (RP) in patients with non-small cell lung cancer (NSCLC).Methods:A retrospective study was conducted on the clinic data of 143 NSCLC patients who received radiotherapy at the Affiliated Hospital of Jining Medical University from January 2016 to December 2022. Patients were randomly stratified into a training group ( n = 100) and an internal validation group ( n = 43) at a 7∶3 ratio. Moreover, clinic data were collected from 34 NSCLC patients who received radiotherapy at the Jining Cancer Hospital between January 2019 and December 2022 as an external validation group. All three groups (the training group, internal validation, and external validation groups) were further categorized into two groups based on the RP severity (i.e., RP ≥ grade 2 and RP < grade 2). Their radiotherapy dose, CT simulation, and 3D dose distribution images were collected. Then, the total lung minus planning target volume (TL-PTV) was defined as the region of interest (ROI) for radiomics and dosiomic feature extraction, followed by feature dimensionality reduction. Consequently, key features associated with RP were determined. Four predictive models were developed using machine learning approaches (especially multilayer perceptron, MLP): a clinical model (CM), a radiomics model (RM), a dosiomics model (DM), and a radiomics and dosiomics nomogram (RDN), with a nomogram subsequently constructed. Ultimately, the performance and clinical feasibility of these models were assessed using receiver operating characteristic (ROC), area under the curve (AUC), and decision curve analysis (DCA). Results:A total of 1 834 radiomic features and 1 834 dosiomic features were extracted. Using the occurrence of RP ≥ grade 2 as the marker variable, 14 radiomic features, 15 dosiomic features, and three clinical features were selected from the training group to construct the prediction models (CM, RM, DM, and RDN). The performance and generalizability of these models were subsequently validated in both the internal validation and external validation groups. Specifically, the RDN exhibited AUCs of 0.915 (95% CI: 0.852-0.978), 0.879 (95% CI: 0.777-0.982), and 0.838 (95% CI: 0.701-0.975) in the three groups, respectively. A nomogram was established for RDN by integrating the radiomics score (R-score), dosiomics score (D-score), mean lung dose (MLD), V20, and V30. This nomogram allowed for individualized risk estimation of RP and facilitated personalized radiotherapy planning. Conclusions:The RDN model that is developed based on CT simulation and 3D dose distribution images and integrates radiomics, dosiomics, and clinical features can effectively predict the RP risk of NSCLC patients. The integration of multidimensional data contributes to the formation of the optimal predictive model, offering guidance for clinicians.

This paper summarizes Professor SHI Zaixiang's clinical experience in treating high fever caused by sepsis using Chaihu Guizhi Ganjiang Decoction （柴胡桂枝干姜汤）. He holds that the key pathogenesis of sepsis involves constrained heat in the shaoyang and internal accumulation of water and fluids. The clinical manifestations such as high fever， chills， and alternating sensations of cold and heat are attributed to pathogenic heat constrained in the shaoyang. Meanwhile， soft tissue edema and serous cavity effusions are due to shaoyang dysfunction and internal water retention. In clinical practice， treating sepsis-related high fever requires addressing both the shaoyang-constrained heat and the associated edema and effusions. The therapeutic approach focuses on harmonizing the shaoyang and resolving internal fluids， using Chaihu Guizhi Ganjiang Decoction as the base formula with flexible modifications. Professor SHI emphasizes that this formula shows a rapid antipyretic effect， particularly in cases where multiple anti-infective treatments have failed.

Objective:To systematically integrate qualitative research on the real experience and management of cancer pain in adult cancer patients, so as to provide reference for improving the management of cancer pain in adult cancer patients and reducing their cancer pain.Methods:Qualitative research literature on the real experience and management of cancer pain in cancer patients was systematically searched in Cochrane Library, PubMed, Web of Science, CINAHL, Embase, ProQuest, Scopus, China Biomedical Database, China National Knowledge Infrastructure, Wanfang Data, and VIP. The search period was from database establishment to August 2023. The literature was evaluated using the quality evaluation criteria for qualitative research of the Joanna Briggs Institute Evidence-Based Health Care Center. The aggregation Meta-synthesis method was used to integrate and summarize research results.Results:A total of 16 articles were included, and 78 results were extracted to form 11 categories, which were summarized into four integrated results of the cognitive status of adult cancer patients towards cancer pain, the impact of cancer pain on patients, self-management strategies for cancer pain, and medical experiences related to cancer pain.Conclusions:Adult cancer patients face obstacles in alleviating cancer pain, such as lack of awareness of cancer pain, negative impacts, inadequate self-management strategies, and poor medical experience. Patients need to improve their self-management strategies, and the country and medical institutions should provide comprehensive support to enable patients and clinical medical and nursing staff to manage cancer pain.

Objective:To investigate the epidemiological and clinical features of patients with hemorrhagic fever with renal syndrome (HFRS) from 2017 to 2019.Methods:Seventy-five patients with HFRS from the Department of Infectious Diseases, The First Affiliated Hospital of Anhui Medical University during January 1, 2017 to December 31, 2019 were included. The data of epidemiology, clinical symptoms, blood routine, urine routine, serum creatinine, liver function and other laboratory examination indexes were retrospectively analyzed. The measurement data with skewness distribution were expressed by M( QR) and compared by nonparametric test. Multivariate logistic regression analysis was used to analyze disease-related risk factors. Results:The 75 patients were mainly located in the western and northern regions of Anhui Province. A total of 37 cases (49.3%) were infected during November, December and January next year. Fifty-four (72.0%) patients were farmers and 10(13.3%) patients had a clear history of rodent contact. Only 19(25.3%) patients had typical clinical manifestations of "three red and three pain" . Fifty-eight (77.3%) patients had elevated white blood cell count, 67(89.3%) patients had decreased platelet count, 55(73.3%) patients had urinary protein + + + , 65(86.7%) patients had abnormal urinary occult blood, and 67(89.3%) patients had elevated serum creatinine. The serum creatinine and potassium levels in 31 severe and critical patients were 495(301) μmol/L and 4.14(0.77) mmol/L, respectively, which were both higher than those in 44 mild and moderate patients (235(289) μmol/L and 3.65(1.02) mmol/L, respectively). The differences were both statistically significant ( Z=-3.187 and -2.796, respectively, both P<0.01). Multivariate logistic regression analysis showed that serum creatinine (odds ratio ( OR)=1.005, 95% confidence interval ( CI)1.002-1.008) and serum potassium ( OR=2.632, 95% CI 1.098-6.313) were independent risk factors for disease severity. All patients received comprehensive medical treatment, and 27 patients received renal replacement therapy. Sixty-eight patients had good prognosis and four patients died. Conclusions:HFRS is still common in the rural area in winter and spring. Patients with atypical clinical manifestations and severe and critical patients should be intensively monitored.

Objective To investigate the predictive effect of hypersensitive C-reactive protein(Hs-CRP)and neutrophil and lymphocyte ratio(NLR)on the prognosis in young patients with ischemic stroke. Methods From October 2016 to October 2017,110 consecutive young patients(18-45 years old)with ischemic stroke admitted to the Department of Neurology,Xuanwu Hospital,Capital Medical University were enrolled retrospectively. According to the modified Rankin scale(mRS)scores,they were divided into either a good prognosis group(mRS≤2;n=90)or a poor prognosis group(mRS>2;n=20).The patients completed the related examinations within 24 h after admission,including blood routine and Hs-CRP.The NLR value was calculated according to the count of neutrophils and lymphocyte in blood routine.The age,gender,underlying diseases(hypertension,diabetes,hyperlipidemia,hyperhomocysteinemia),histories of smoking and drinking,National Institutes of Health stroke scale(NIHSS)scores of both groups of patients were documented.The poor prognosis after discharge at 90 d was used as the dependent variable,the independent variables of P<0.05 in univariate analysis were further performed with multivariate logistic regression analysis.The receiver operating characteristic(ROC)curve was used to evaluate the sensitivity and specificity of the independent risk factors. The Youden index was calculated and the optimal cut-off value was determined. Results (1)Compared with the good prognosis group,the poor prognosis group had higher NIHSS score,NLR and Hs-CRP at admission.The differences between the 2 groups were statistically significant(9.0[4.5,13.0]vs.2.5[2.0,4.0],2.97[2.31,4.20]vs.2.13[1.76,2.70],4.65 [2.70,9.52]mg/L vs.2.06[0.87,4.54]mg/L;all P<0.05).There were no significant differences in other baseline data and clinical characteristics between the two groups(all P>0.05).(2)The results of the multivariate logistic regression analysis indicated that the high level of Hs-CRP(OR,1.086,95%CI 1.009-1.169)and higher NIHSS score(OR,1.487,95%CI 1.229-1.797)at admission were the independent risk factors for poor prognosis(all P < 0. 05),and there was no significant relation between NLR and prognosis(P>0.05).(3)The area under the ROC curve of the Hs-CRP levels at admission was 0.722(95%CI 0.591-0.853,P=0.002).When the predictive value of Hs-CRP level at admission was 3.365 mg/L,the maximum Youden index was 0.367,its corresponding sensitivity was 70.0%and specificity was 66.7%. Conclusions The higher Hs-CRP level and NIHSS score at admission may independently predict the poor prognosis of young patients with ischemic stroke at 90 d after discharge to a certain extent.It is not appropriate to use Hs-CRP≥3.365 mg/L alone for poor prognosis screening,but NLR may not be associated with the prognosis at admission.

Objective To evaluate the rationality of antibiotic use in the outpatient and emergency departments in some class 3A hospitals in China through International Network for Rational Use of Drugs (INRUD).Methods The antibiotic prescriptions were collected from the outpatient and emergency departments in 78 class 3A hospitals of 25 provinces through INRUD during 2014-2015.The basic information of the antibiotic prescriptions and the prescriptions rationality were evaluated.Results A total of 447 894 prescriptions of antibiotics were analyzed.From 2014 to 2015,the qualified rate the prescriptions increased from 91.52％ to 93.08％,and the antibiotic use rate was similar (11.72％ and 12.04％).The major irrational prescription type was inappropriate prescription,including inappropriate indication (32.42％,34.02％) and inappropriate usage and dosage (24.22％,18.56％).Conclusions Totally,the antibiotic use in the outpatient and emergency department reached the standard in China.However,the use of antibiotics didn' t meet the national requirements in some area.It is necessary to promote the rational use of antibiotics.

Objective To analyze the clinical value of chemotherapy combined with endocine therapy after standard treatment failure for advanced metastatic breast cancer.Methods 30 metastatic breast cancer patients after standard treatment failure were analyzed.Etoposide (75-100 mg/d) wasused on days 1-10,followed by 11 days of rest combined with medroxyprogesterone 0.5 g,twice per day,or megestrol 160 mg/d for 21 days.Clinical effects and life quility were analysed.Results The median treatment line of this therapy was 6 (range 3-9).The clinical benefit rate is 16.7 ％ (5/30),and the median progression free survival (PFS) was 4.0 months (range 1.0-13.0 months).Conclusion The combination of chemotherapy (etoposide) and endocrine therapy (progesterone) is a choice of treatment after standard drug failure for advanced mastatic breast cancer patients.

Objective To explore the status of nuclear power plant operators in mental health and its correlation with emotional stability,liveliness,anxiety and urgency.Methods 255 male operators were randomly selected from three nuclear power bases,meanwhile 61 undergraduates were used as control group.The mental health and neurobehavioral evaluation system of Chinese nuclear power plant operators was developed by Second Affiliated Hospital of Soochow University,which was used to assess mental health of the subjects.The scores of mental health personality factors were recorded,together with four main personality factors including emotional stability,liveliness,anxiety and urgency.Results The score of lie was lower than 8 which showed all inspected groups were normal. 1.57％ (4/255) operators had psychological disorders,3.92％ ( 10/255 ) had poor mental health,27.84％ ( 71/255 ) had general mental health,66.7％ (170/255) had excellent mental health,whereas 9.84％ (6/61)for control group had psychological disorders.Obvious difference was observed in the final scores between the nuclear power plant operators and control group.The former gained higher scores on mental health,emotional stability,and lower scores on anxiety and urgency ( t =3.437,4.423,- 2.493,- 2.093,P ＜ 0.05 ).Both groups aged over 27 years and with length of service over 5 years were awarded higher scores on mental health,emotional stability( t =2.585,2.349 ; t =2.606,2.947,P ＜ 0.05 ),lower scores on anxiety and urgency (t =- 3.407,- 2.138 ; t =- 2.941,- 2.256,P ＜ 0.05).The mental health was positively correlated with emotional stability and liveliness ( r =0.721,0.650,P ＜ 0.05),but negatively correlated with anxiety and urgency(r =- 0.809,- 0.693,P ＜ 0.05 ).Conclusions The majority of nuclear power plant operators had excellent psychological quality,but some factors should be paid more attention,such as different ages and length of service time.