Objective:To develop the Clinical Nurse Extra Task Load Scale and test its reliability and validity.Methods:Based on the job demand-control model, a primary scale was formed through literature search and qualitative interviews, as well as Delphi consultation and pre-survey. In September 2023, 813 clinical nurses from First Affiliated Hospital of Xinxiang Medical University and Xinxiang Central Hospital were selected for reliability and validity testing. In October 2023, 1 050 clinical nurses from First Affiliated Hospital of Xinxiang Medical University and Xinxiang Central Hospital were selected for investigation, and the reliability and validity of the scale were tested.Results:The final Clinical Nurse Extra Task Load Scale included two dimensions and a total of 12 items. The item-level content validity index was 0.86 to 1.00, and the scale-level content validity index was 0.84. Exploratory factor analysis extracted two common factors, with a cumulative variance contribution rate of 74.55%. Confirmatory factor analysis showed that χ 2/ df was 1.613, GFI was 0.928, CFI was 0.971, NFI was 0.928, IFI was 0.971, and RMSEA was 0.024. Cronbach's α coefficient of the work environment demand dimension was 0.897, Cronbach's α coefficient of individual behavior restriction was 0.955, Cronbach's α coefficient of the total scale was 0.950, and the split-half reliability was 0.850. Conclusions:The Clinical Nurse Extra Task Load Scale developed has a good reliability and validity, and can be used to evaluate and quantify the extra task load for clinical nurses.

Objective:To investigate the clinical value of bronchoscopic narrow band imaging combined with serum heat shock protein family 70 (HSP70) and netrin-1 (Ntn1) in the diagnosis of bronchogenic carcinoma.Methods:A retrospective cohort study was conducted. A total of 96 patients with suspected central lung cancer combined with airway obstruction admitted to Shanxi Province Cancer Hospital from January 2021 to January 2022 were retrospectively analyzed. Bronchoscopy and narrow band imaging were performed in all patients. Serum HSP70 and Ntn1 levels were measured by using enzyme-linked immunosorbent assay (ELISA). Pathological biopsy was taken as the gold standard. Receiver operating characteristic (ROC) curves were used to analyze the value of bronchoscopic narrow band imaging combined with serum HSP70 and Ntn1 in the diagnosis of bronchogenic carcinoma.Results:There were 70 males and 26 females in 96 suspected patients, with the age of (46±5) years. According to the pathological results, 72 were diagnosed with central lung cancer, including 43 cases of squamous cell carcinoma, 24 cases of adenocarcinoma, 3 cases of small cell carcinoma, 2 undifferentiated cases,and 24 cases of benign lesions in lung. The sensitivity, specificity, and accuracy of bronchoscopic narrow band imaging in the diagnosis of bronchogenic carcinoma were 90.3%, 79.2% and 87.5%, respectively. The serum HSP70 and Ntn1 levels in patients with lung cancer were higher than those in benign patients (all P < 0.05). ROC curves showed that the optimal cut-off values of HSP70 and Ntn1 in the diagnosis of bronchogenic carcinoma were 10.08 ng/ml and 562.82 pg/ml, respectively. The sensitivity, specificity, and accuracy of serum markers (HSP70 + Ntn1) in the detection of bronchogenic carcinoma were 93.1%, 58.3% and 84.4%, respectively. The sensitivity, specificity, and accuracy of bronchoscopic narrow band imaging combined with serum markers in the diagnosis of bronchogenic carcinoma were 98.6%, 87.5% and 95.8%, respectively; and the diagnostic accuracy of the combined method was higher than that of a single detection method such as bronchoscopic narrow band imaging or serum indexes ( χ2 values were 4.36, 7.07, all P < 0.05). Conclusions:Bronchoscopic narrow band imaging has a good diagnostic value for bronchogenic carcinoma, and the combination of serum HSP70 and Ntn1 can further improve the clinical diagnostic efficacy.

Objective To explore and verify the protective and therapeutic effects and possible mechanisms of Zukamu granules on hypoxia alone and hypoxia+Su5416-induced hypoxic pulmonary hypertension(HPH)in mice.Methods Multiple databases and related literature were used to collect the active ingredients data in Zukamu granules and the HPH-related targets were predicted and obtained.The network construction and enrichment analysis were performed.The HPH mouse models were es-tablished by two-week hypoxia and four-week hypoxia+Su5416 induction,and the relevant indicators and the main pharmacodyna-mic indexes such as right ventricular pressure were tested.Masson staining was used to observe the pathological changes in lung tissues,and Western blotting was used to detect the expression levels of bax,bcl-2,PI3K,p-PI3K,eNOS,and HIF-1α in lung tis-sues.Results A total of 167 active ingredients of Zukamu granules were screened,with 179 intersecting targets with HPH,in-cluding targets like PIK3CA and HIF-1.The validation experimental results showed that Zukamu granules could significantly re-duce right ventricular systolic pressure and right ventricular hypertrophy in HPH mice,and down-regulate the expression of bcl-2 and HIF-1α and up-regulate the expression of bax,PI3K,p-PI3K and eNOS in mice lung tissues.Conclusion Zukamu gran-ules may act against HPH by modulating bax/bcl and PI3K-eNOS/HIF-1α signaling pathways.

Objective:To explore the risk stratification value of coronary CT angiography (CCTA) in patients with non-obstructive coronary artery disease based on cluster analysis and to identify the high-risk population of cardiovascular adverse events in patients.Methods:Prospective consecutive patients with suspected coronary artery disease who underwent CCTA examination and were confirmed as non-obstructive coronary heart disease were enrolled in the General Hospital of Chinese PLA from January 1, 2015 to December 31, 2017. The clinical characteristics and CCTA diagnosis information of patients were collected, and then follow-up was performed to obtain adverse cardiovascular events. Firstly, the cluster analysis based on CCTA information divided the patients into different groups. Then, the risk of adverse cardiovascular events was compared between different groups. Finally, segment involvement score (SIS) score, Leiden score, SIS score combined with clinical characteristics, Leiden score combined with clinical characteristics, and cluster information combined with clinical characteristics were used to stratify the population, and the concordance index-time curve and net reclassification improvement (NRI) index were described to compare the risk stratification ability of the five different models.Results:A total of 3 402 patients with non-obstructive coronary artery disease were included in the study, of whom 104 had adverse cardiovascular events during the follow-up period. Cluster analysis based on CCTA information classified patients into 3 different groups. There were statistically significant differences in clinical characteristics, CCTA information, and survival outcomes between groups ( P<0.05). The results of the concordance index-time curve showed that the risk stratification ability of CCTA cluster information combined with clinical characteristics was better than the current SIS score, Leiden score, SIS score combined with clinical characteristics, Leiden score combined with clinical characteristics. At the 1-year and 2-year time cutoffs, cluster information combined with clinical characteristics showed a positive increase in INR compared with the first four models (INR was 0.248 and 0.293, 0.316 and 0.293, 0.147 and 0.003, 0.192 and 0.007, respectively). Conclusion:CCTA based on cluster analysis has a good risk stratification value for patients with non-obstructive coronary artery disease and is helpful for individualized intervention.

OBJECTIVE To establish HPLC fingerprint of Portulaca oleracea， establish quantitative analysis of multi- components by single-marker （QAMS） method for the content determination of caffeic acid， ferulic acid， genistin and quercetin， and provide reference for quality control of the medicine. METHODS The determination was performed on Eclipse XDB-C18 column with mobile phase consisted of methanol-0.2% phosphoric acid solution （gradient elution） at the flow rate of 1.0 mL/min. The column temperature was 25 °C， and detection wavelength was set at 360 nm. The sample size was 10 μL. HPLC fingerprint of P. oleracea was established according to the above chromatographic conditions. Cluster analysis （CA） and principal component analysis （PCA） were performed for 15 batches of specimens. Using caffeic acid as internal standard， relative correction factors of other three components were calculated by QAMS， and then the component content was calculated on the basis of relative correction factors， which was compared with the external standard method. RESULTS HPLC fingerprints of 15 batches of P. oleracea were calibrated with a total of 17 common peaks， and 4 components （caffeic acid， ferulic acid， genistin， quercetin） were identified； the similarities of 15 batches of samples were greater than 0.890. The results of CA showed that S1-S10 were clustered into one category， and S11-S15 were clustered into one category. The results of PCA revealed that the accumulative contribution rate of the two main components was 92.502%， and the classification results were basically consistent with CA. The linear range of caffeic acid， ferulic acid， genistin and quercetin were 0.003 1-0.157 1， 0.003 6-0.181 7， 0.008 5-0.425 6，0.000 4-0.021 8 mg/mL （R2≥0.999 7）； the results of precision， repeatability， stability （24 h） and recovery tests all complied with the requirements of Chinese Pharmacopoeia. The relative correction factors of ferulic acid， genistin and quercetin calculated by QAMS were 1.534， 5.302 and 0.174； there was no significant difference in the contents of components measured between this method and the external standard method. CONCLUSIONS The established HPLC fingerprint combined with QAMS can be used for the quality control of multiple index components in P. oleracea. The origin has a certain influence on the quality of P. oleracea， and the quality of P. oleracea produced in Sichuan is better than that produced in Anhui and Hebei.

Objective:To investigate the risk factors of invasive fungal disease after haploid hematopoietic stem cell transplantation in children with acute leukemia.Methods:Four hundred and two children (median age 10 years) with acute leukemia, undergoing haplo-HSCT at this institutute from January 2016 to December 2020,were analyzed retrospectively according to the diagnosis criteria of IFD. The basic information and preoperative indicators of the children were collected, including gender, age, primary disease, remission status of primary disease, and previous IFD history. Postoperative indicators were collected, including long-term granulocyte deficiency time, high-dose glucocorticoids, using CD25 monoclonal antibody, acute and chronic graft-versus-host disease. Count data are expressed as example (%), and comparisons between groups are made using the continuously multifactorial corrected Chi-square test or Fisher exact probability method. Logistic regression model was used to analyze the risk factors of IFD after haplo-HSCT in children.Results:Among 402 cases, 250 were male and 152 were female. The median age at transplantation was 10 years, and the age range was 9 months to 17 years 7 months. Before transplantation, 390 cases achieved complete remission of the primary disease, 9 cases had partial remission, and 3 cases had no remission. The implantation time of neutrophils ranged from +10 to 24 days, with a median time of 12 days. IFD occurred in 17 cases (4.2%), of which 3 cases (0.7%) were proven IFD and 14 cases (3.5%) were probable IFD. IFD occurred from 13 to 275 days after transplantation, with a median time of 30 days. The lungs were the most common site of infection (88.2%,15/17). The multivariate Logistic regression analysis showed that age >10 years old ( P=0.046, odds ratio =3.05, 95% confidence interval: 1.02~9.13), the use of high-dose corticosteroids ( P=0.005, odds ratio =7.72, 95% confidence interval: 1.85~32.20) were risk factors for IFD after haplo-HSCT in children. Conclusions:IFD is an important complication after haplo-HSCT in children with acute leukemia. Age >10 years and the use of high-dose corticosteroid are risk factors for IFD after haplo-HSCT in children with acute leukemia.

Objective:To investigate the expressions of Yes-associated protein 1 (YAP1), YTH domain-containing family protein 2 (YTHDF2) and microRNA-888-3p (miR-888-3p) in patients undergoing radical resection for lung cancer, and their predictive value for short-term prognosis of patients.Methods:A total of 420 lung cancer patients who underwent radical resection for lung cancer in Shanxi Province Cancer Hospital from May 2015 to May 2022 were selected and divided into a modeling set (280 cases) and a validation set (140 cases) in a ratio of 2∶1 by using the computer-generated random number method. The paracancerous normal lung tissues removed by surgery (>5 cm from the edge of the cancer tissues) were used as the control. The relative expressions of YAP1 and YTHDF2 proteins in cancer tissues and paracancerous tissues of the modeling set was detected by Western blotting, and the relative expression of miR-888-3p was detected by real-time fluorescence quantitative polymerase chain reaction (qRT-PCR). The patients were followed up for 1 year to analyze the prognosis, and the patients in the modeling set who had recurrence, metastasis or cancer-caused death were considered as the poor prognosis group, and the rest of the patients were considered as the good prognosis group. The relative expressions of YAP1 protein, YTHDF2 protein, miR-888-3p and general information of the patients in the two groups were compared; the Cox proportional hazards model was used to analyze the influencing factors of the short-term prognosis of radical resection for lung cancer in the modeling set; a Nomogram prediction model was constructed for the short-term prognosis of radical resection for lung cancer, and its efficacy was verified.Results:The relative expression of miR-888-3p in the modeling set of cancer tissues and paracancerous tissues was 0.49±0.08 and 0.16±0.05, and the difference was statistically significant ( t = 58.53, P < 0.001); the relative expression of YAP1 protein was 0.48±0.06 and 0.12±0.03, and the difference was statistically significant ( t = 89.80, P < 0.001); the relative expression of YTHDF2 protein was 0.23±0.04 and 0.59±0.07, and the difference was statistically significant ( t = 74.72, P < 0.001). After 1 year of follow-up in the modeling set, 32 cases were lost, and 81 (32.66%) of the remaining 248 cases had a poor prognosis (poor prognosis group), while 167 cases (67.34%) were in the good prognosis group. Compared with the good prognosis group, the relative expressions of YAP1 protein and miR-888-3p in cancer tissues was elevated in the poor prognosis group (both P < 0.05), and the relative expression of YTHDF2 protein was decreased ( P < 0.05); the proportions of patients with smoking, coronary artery disease, TNM stage Ⅲ-Ⅳ, maximum tumor diameter ≥ 5 cm, and undifferentiated/lowly differentiated tissues were high in the poor prognosis group, the physical status (PS) score was elevated, and the proportion of patients with regular postoperative radiotherapy was reduced (all P < 0.05). The results of multivariate Cox regression analysis showed that the proportion of patients with smoking ( HR = 2.098, 95% CI 1.143-3.852, P = 0.009), TNM stage ( HR = 2.421, 95% CI 1.350-4.341, P = 0.002), maximum tumor diameter ( HR = 1.883, 95% CI 1.036-3.424, P = 0.011), degree of tissue differentiation ( HR = 3.133, 95% CI 1.590-6.173, P < 0.001), regular postoperative radiotherapy ( HR = 0.417, 95% CI 0.219-0.797, P = 0.003), YAP1 ( HR = 7.043, 95% CI 2.842-17.452, P < 0.001), YTHDF2 ( HR = 0.560, 95% CI 0.418-0.752, P < 0.001), and miR-888-3p ( HR = 4.100, 95% CI 1.789-9.394, P < 0.001) were the independent influencing factors for the short-term prognosis of radical resection for lung cancer. A Nomogram prediction model was constructed, and internal validation showed that the consistency index of the model was 0.822 (95% CI 0.774-0.870); the result of receiver operator characteristic curve showed that the sensitivity of the Nomogram prediction model for predicting the short-term prognosis of radical resection for lung cancer in the modeling set was 97.5% (95% CI 86.8%-99.9%), and the specificity was 82.4% (95% CI 73.0%-89.6%), and the area under the curve (AUC) was 0.943 (95% CI 0.889-0.976); the sensitivity of predicting the short-term prognosis of radical resection for lung cancer in the validation set was 91.53% (95% CI 81.3%-97.2%), and the specificity was 81.5% (95% CI 71.3%-89.2%), and the AUC was 0.922 (95% CI 0.865-0.961). Conclusions:YAP1, YTHDF2 and miR-888-3p are all influencing factors for short-term prognosis of radical resection for lung cancer, and the Nomogram prediction model constructed based on these factors has good predictive efficacy for the short-term prognosis of radical resection for lung cancer.

Objective:To explore the influence of online and offline family therapy based on the Satir model on emotions of adolescents with depressive disorder and their parents in remote areas.Methods:A total of 98 cases adolescents with depressive disorder treated in the psychosomatic medicine of the Second Affiliated Hospital of Nanchang University from January 2021 to June 2021 and their parents were selected as the objects. The adolescents with depressive disorder and their parents were randomly divided into the control group (49 parents and 49 adolescents) and the observation group (49 parents and 49 adolescents). The control group received the medical treatment (sertraline 100 mg/d) and the routine health education, while the observation group received the online and offline Satir family therapy on the basis of the intervention of the control group. Generalized anxiety disorder-7 (GAD-7) and patient health questionnaire-9 (PHQ-9) were used to investigate the negative emotions of the parents of the two groups before and 12 weeks after the intervention. The screen for child anxiety related emotional disorders (SCARED) and depression self-rating scale for childhood (DSRS) were used to investigate the negative emotions of the adolescents before and 12 weeks after the intervention.The SPSS 20.0 software was used for statistical analysis. t test was used to compare the SCARED scale score and DSRS score changes of the adolescents in the two groups, and χ 2 test was used to compare the proportional changes of parents' anxiety and depression. Results:The scores of SCARED (51.55±12.69 vs 36.82±7.69, t=15.839) and DSRS (25.08±4.81 vs 16.88±2.16, t=13.047) of adolescents in the control group were significantly different before and after the intervention (both P<0.05). The scores of SCARED (51.16±15.84 vs 31.31±7.72, t=14.385) and DSRS (24.12±4.81 vs 14.08±2.03, t=14.723) of adolescents in the observation group were significantly different before and after the intervention (both P<0.05). After the intervention, the scores of SCARED and DSRS in the observation group were lower than those in the control group ( t=3.540, 6.609, both P<0.05). Before intervention, there was no significant difference in the proportion of anxiety and depression between the parents of the two groups (χ 2=1.837, 3.547, both P>0.05). After 12 weeks of intervention, there was a statistically significant difference in the proportion of anxiety and depression between the two groups, which were lower in the observation group than those in the control group (χ 2=5.995, 4.009, both P<0.05). Conclusion:Online + offline family therapy based on the Satir model can not only effectively reduce anxiety and depression of adolescents, but also effectively reduce anxiety and depression of their parents.It is especially suitable for outpatient management of children with depressive disorder in remote areas.

Objective:To develop a pretest probability model of obstructive coronary artery disease with machine learning based on multi-site Chinese population data.Methods:Chinese regiStry in early deTection and Risk strAtificaTion of coronary plaques (C-Strat) study is a prospective multi-center cohort study, in which consecutive patients with suspected obstructive coronary artery disease and ≥64 detector row coronary computed tomography angioplasty (CCTA) evaluation were included. Data from the patients were randomly split into a training set (70%) and a test set (30%). More than 50% of coronary artery stenosis by CCTA was defined as positive outcome. A boosted ensemble algorithm (XGBoost), 10-fold cross-validation and Bayesian optimization were used to establish a new prediction model-CARDIACS(pretest probability model from Chinese registry in eARly Detection and rIsk stratificAtion of Coronary plaques Study), and a logistic regression was used to establish a model-LOGISTIC in training set. The test set was used for validation and comparison among CARDIACS, LOGISTIC, UDFM (updated Diamond-Forrester Model) and DFCASS(Diamond-Forrester and CASS).Results:The study population included 29 455 patients with age of (57.0±9.7) years and 44.8% women, of whom 19.1% (5 622/29 455) had obstructive coronary artery disease. For CARDIACS, the age, the reason for visit and the body mass index (BMI) were the most important predictive variables. In the independent test set, the area under the curve (AUC) of CARDIACS was 0.72 (95% CI 0.70-0.73), which was significantly superior to that of LOGISTIC (AUC 0.69, 95% CI 0.68-0.71, P=0.015), UDFM (AUC 0.64, 95% CI 0.62-0.65, P<0.001) and DFCASS (AUC 0.66, 95% CI 0.64-0.67, P<0.001), respectively. Conclusion:Based on Chinese population, the study developed a new pretest probability model--CARDIACS, which was superior to the traditional models. CARDIACS is expected to assist in the clinical decision-making for patients with stable chest pain.

Objective: Evidence supports the efficacy of coronary computed tomography angiography (CCTA)-based risk scores in cardiovascular risk stratification of patients with suspected coronary artery disease (CAD). We aimed to compare two CCTAbased risk score algorithms, Leiden and Confirm scores, in patients with diabetes mellitus (DM) and suspected CAD. Materials and Methods: This single-center prospective cohort study consecutively included 1241 DM patients (54.1% male, 60.2 ± 10.4 years) referred for CCTA for suspected CAD in 2015–2017. Leiden and Confirm scores were calculated and stratified as < 5 (reference), 5–20, and > 20 for Leiden and < 14.3 (reference), 14.3–19.5, and > 19.5 for Confirm. Major adverse cardiovascular events (MACE) were defined as the composite outcomes of cardiovascular death, nonfatal myocardial infarction (MI), stroke, and unstable angina requiring hospitalization. The Cox model and Kaplan–Meier method were used to evaluate the effect size of the risk scores on MACE. The area under the curve (AUC) at the median follow-up time was also compared between score algorithms. Results: During a median follow-up of 31 months (interquartile range, 27.6–37.3 months), 131 of MACE were recorded, including 17 cardiovascular deaths, 28 nonfatal MIs, 64 unstable anginas requiring hospitalization, and 22 strokes. An incremental incidence of MACE was observed in both Leiden and Confirm scores, with an increase in the scores (log-rank p < 0.001). In the multivariable analysis, compared with Leiden score < 5, the hazard ratios for Leiden scores of 5–20 and > 20 were 2.37 (95% confidence interval [CI]: 1.53–3.69; p < 0.001) and 4.39 (95% CI: 2.40–8.01; p < 0.001), respectively, while the Confirm score did not demonstrate a statistically significant association with the risk of MACE. The Leiden score showed a greater AUC of 0.840 compared to 0.777 for the Confirm score (p < 0.001). Conclusion CCTA-based risk score algorithms could be used as reliable cardiovascular risk predictors in patients with DM and suspected CAD, among which the Leiden score outperformed the Confirm score in predicting MACE.