Objective To analyze the factors affecting the prognosis of patients with locally advanced or metastatic non-small cell lung cancer (NSCLC) undergoing immunotherapy and construct an individualized prognostic nomogram prediction model. Methods A retrospective analysis was conducted on the clinical data of 385 patients with driver gene-negative, locally advanced or metastatic NSCLC who received first-line immune checkpoint inhibitors. Univariate and multivariate Cox regression analyses were used to identify prognostic risk factors, and a prognostic nomogram model was established. The predictive performance of the model was evaluated using the concordance index (C-index), time-dependent receiver operating characteristic (ROC) curves and area under the curve (AUC), and calibration curves. The cutoff value of the nomogram was calculated to stratify patients by risk. Survival curves were calculated by Kaplan-Meier analysis. Results Age (HR=1.775, 95%CI: 1.265-2.490), degree of differentiation (HR=0.365, 95%CI: 0.257-0.519), low PD-L1 expression (HR=0.661, 95%CI: 0.455-0.960), high PD-L1 expression (HR=0.423, 95%CI: 0.297-0.603), SCC-Ag (HR=1.549, 95%CI: 1.109-2.163), and CONUT score (HR=2.527, 95%CI: 1.797-3.554) were independent risk factors affecting overall survival (OS) of patients with NSCLC undergoing immunotherapy. The nomogram prediction model constructed on the basis of these factors had a C-index of 0.767. Time-dependent ROC curves for survival showed that the AUCs for 1-, 2-, and 3-year OS were 0.830, 0.853, and 0.886, respectively. Calibration curves indicated that the nomogram-predicted survival rates were in good agreement with the actual outcomes. The cutoff value for the study’s nomogram prediction model was 136.60 points, and survival curves showed statistically significant differences between different risk groups (P<0.05). Conclusion The nomogram model established in this study can effectively predict the prognosis of patients with driver gene-negative locally advanced or metastatic NSCLC treated with first-line immunosuppressive therapy. It provides a new tool for assessing prognosis and aids clinicians in formulating individualized treatment plans.

Objective:To analyze the characteristics of CD4 + T cell subsets and cytokines in patients with mixed connective tissue disease (MCTD) and the correlation of MCTD disease activity, laboratory data, and clinical symptoms with cytokines. Methods:A total of 48 MCTD patients (including 24 newly diagnosed patients and 24 treated patients) were enrolled from the Department of Rheumatology and Immunology, the Second Hospital of Shanxi Medical University from 2018 to 2021. Meanwhile, 49 healthy subjects who underwent physical examination were recruited (healthy control group). The absolute counts of CD4 + T cell subsets in peripheral blood samples were analyzed by flow cytometry. The levels of serum cytokines were detected by flow bead array. Analysis of variance and Mann-Whitney U test were used to compare the differences between groups. Pearson or Spearman correlation analysis was used for correlation analysis. Logistic regression analysis was used to analyze related factors. The receiver operating characteristic curve was used to detect the best cut-off value and effectiveness. Results:The absolute counts of Th1 ( P<0.01), Th2 ( P<0.01) and Treg cells ( P<0.01) in the newly diagnosed MCTD patients and the treated MCTD patients were lower than those in the healthy subjects. The levels of cytokines (IL-2, IL-4, IL-6, IL-10, IL-17, IFN-γ, and TNF-α) in the two MCTD groups were higher than those in the healthy control group ( P<0.01). Further analysis revealed that the cardiac enzymes in MCTD patients included creatine kinase, creatine kinase-MB, aspartate aminotransferase, α-hydroxybutyrate dehydrogenase, and lactate dehydrogenase were positively correlated with cytokines ( P<0.05). In addition, it was found that IL-2 was positively correlated with erythrocyte sedimentation rate ( r=0.477, P<0.001), but it was negatively correlated with complement C3 ( r=-0.546, P=0.002) and complement C4 ( r=-0.422, P=0.02). IL-10 was correlated with the myositis symptoms in MCTD patients and the area under the receiver operator characteristic curve was 0.745 (95% CI: 0.576-0.915, P<0.05). Conclusions:This study provides insights into the unique immunological characteristics of CD4 + T lymphocyte subsets and cytokines in patients with MCTD, and also reveals a close correlation between cytokines and cardiac enzymes in MCTD patients. IL-2 has been shown to be associated with disease activity in MCTD patients. The level of IL-10 may be related to the occurrence of myositis symptoms in MCTD.

Objective To construct a diagnostic and prognostic model for malignant pleural effusion (MPE) in patients with non-M1b stage (AJCC 7th edition) non-small cell lung cancer (NSCLC) by machine learning. Methods Retrospective analysis was conducted on patients diagnosed with NSCLC in the Surveillance, Epidemiology, and End Results database from 2010 to 2015, excluding those in the M1b stage. Two sets of data were collected: data 1 (patients with non-M1b stage NSCLC, n=47 392) was used to construct the MPE diagnostic model; and data 2 (patients with M1a stage NSCLC and MPE, n=2 422) was used to construct a prognostic model. The Least Absolute Shrinkage and Selection Operator (LASSO) regression was used to screen feature variables, with a training set and validation set ratio of 7:3. Models were built using eight machine learning algorithms, with evaluation metrics including accuracy, precision, recall, F1 score, area under the ROC curve (AUC), decision curve, calibration curve, and precision recall curve (PR), with ROC-AUC as the main evaluation metric. Results The incidence of MPE in patients with non-M1b stage NSCLC was 5.12%, and the 1-year survival rate of patients with MPE was 32.5%. LASSO regression identified nine diagnostic-related variables and 12 prognostic-related variables. The AUC values of the models constructed by eight machine learning algorithms all exceeded 0.70. The random forest model performed the best in the diagnostic model (training set AUC=0.908, validation set AUC=0.897), and the XGBoost model showed the best performance in the prognostic model (training set AUC=0.905, validation set AUC=0.875). Other evaluation indicators showed good results and balanced distribution. SHAP feature importance analysis showed that tumor size, lymph node metastasis, and histological type were important influencing factors for the occurrence of MPE, and chemotherapy intervention was the most remarkably prognostic factor. Conclusion The random forest diagnostic model constructed in this study can effectively predict the risk of MPE in patients with non-M1b stage NSCLC, and the XGBoost prognostic model can predict the prognosis of M1a-stage NSCLC patients with concurrent MPE.

Objective:To analyze the characteristics of CD4 + T cell subsets and cytokines in patients with mixed connective tissue disease (MCTD) and the correlation of MCTD disease activity, laboratory data, and clinical symptoms with cytokines. Methods:A total of 48 MCTD patients (including 24 newly diagnosed patients and 24 treated patients) were enrolled from the Department of Rheumatology and Immunology, the Second Hospital of Shanxi Medical University from 2018 to 2021. Meanwhile, 49 healthy subjects who underwent physical examination were recruited (healthy control group). The absolute counts of CD4 + T cell subsets in peripheral blood samples were analyzed by flow cytometry. The levels of serum cytokines were detected by flow bead array. Analysis of variance and Mann-Whitney U test were used to compare the differences between groups. Pearson or Spearman correlation analysis was used for correlation analysis. Logistic regression analysis was used to analyze related factors. The receiver operating characteristic curve was used to detect the best cut-off value and effectiveness. Results:The absolute counts of Th1 ( P<0.01), Th2 ( P<0.01) and Treg cells ( P<0.01) in the newly diagnosed MCTD patients and the treated MCTD patients were lower than those in the healthy subjects. The levels of cytokines (IL-2, IL-4, IL-6, IL-10, IL-17, IFN-γ, and TNF-α) in the two MCTD groups were higher than those in the healthy control group ( P<0.01). Further analysis revealed that the cardiac enzymes in MCTD patients included creatine kinase, creatine kinase-MB, aspartate aminotransferase, α-hydroxybutyrate dehydrogenase, and lactate dehydrogenase were positively correlated with cytokines ( P<0.05). In addition, it was found that IL-2 was positively correlated with erythrocyte sedimentation rate ( r=0.477, P<0.001), but it was negatively correlated with complement C3 ( r=-0.546, P=0.002) and complement C4 ( r=-0.422, P=0.02). IL-10 was correlated with the myositis symptoms in MCTD patients and the area under the receiver operator characteristic curve was 0.745 (95% CI: 0.576-0.915, P<0.05). Conclusions:This study provides insights into the unique immunological characteristics of CD4 + T lymphocyte subsets and cytokines in patients with MCTD, and also reveals a close correlation between cytokines and cardiac enzymes in MCTD patients. IL-2 has been shown to be associated with disease activity in MCTD patients. The level of IL-10 may be related to the occurrence of myositis symptoms in MCTD.

AIM: To observe the changes of corneal densitometry(CD)in patients with keratoconus after corneal cross-linking(CXL).METHODS: Retrospective study. A total of 32 patients(43 eyes)with keratoconus in Ningxia Eye Hospital from April 2020 to April 2022 were selected. Pentacam analysis system divided the cornea into three layers: anterior 120 μm, middle layer and posterior 60 μm, and divides it into five regions with diameters of 0-2, 2-6, 6-10, 10-12 mm and full diameter according to the diameter, and measures the CD in different ranges. The changes of CD were compared before operation and at 1, 3 and 6 mo after operation.RESULTS: There were differences in uncorrected visual acuity, best corrected visual acuity and intraocular pressure before and 6 mo after operation(all P<0.05), and there was no difference in corneal endothelial cells(P=0.477). CD reached its peak at 1 mo after operation, and decreased at 3 mo and 6 mo after operation, but it was still higher than that before operation. There is a significant positive correlation between CD and Kmax in the anterior layer and the whole layer(r=0.164, P=0.016; r=0.152, P=0.023).CONCLUSION: The values of CD peaked at 1 mo after CXL, then it gradually decreased, tending to become stable at 6 mo postoperatively.

Systemic lupus erythematosus (SLE) shows a significant gender difference. In addition to X chromosome inactivation (XCI) abnormalities, which may lead to the gender difference in SLE, studies have found that estrogen plays a key role in regulating Th17/Treg immune balance in SLE. Estrogen indirectly affects the quantity and function of Th17 and Treg cells by acting on B cells. In this process, the mutual influence and the interaction between B and T cells promote the development of SLE. Recent studies have reported gender differences in intestinal microbiota, which may lead to sex-dependent genetic susceptibility and epigenetic changes in autoimmune diseases represented by SLE. The interaction between estrogen and intestinal microbiota in SLE affects the immune balance of Th17/Treg cells. This paper mainly reviews the way estrogen works, and the mechanisms by which estrogen regulates Th17/Treg immune balance and the interaction between B and T cells in SLE, hoping to provide new targets for new therapeutic strategies such as selective estrogen receptor modulators.

Cyclic GMP-AMP synthase (cGAS)-stimulator of interferon gene (STING) pathway, as an important part of the innate immune system, is the main pathway for cytoplasmic DNA recognition and cGAS can be triggered by a variety of cytoplasmic dsDNA. This pathway has become an important bridge connecting autoimmunity, aseptic inflammatory response and cell aging. In recent years, cGAS-STING pathway has attracted increasing attention in autoimmune diseases. In rheumatoid arthritis (RA), neutrophil extracellular traps (NETs) induce typeⅠ interferon response and accelerate the production of anti-citrullinated peptide antibody (ACPA) through the cGAS-STING pathway. In addition, the cGAS-STING pathway also participates in synovitis, bone destruction and RA progression by promoting the proliferation and activation of fibroblast-like synovitis cells and the polarization of M1 macrophages. Inhibition of the cGAS-STING pathway or its downstream signaling pathway can reduce synovial inflammation in RA, suggesting that cGAS-STING pathway may be a potential therapeutic target for RA.

Objective:To retrieve, evaluate and summarize relevant evidence on home-based exercise management in patients with mild to moderate Parkinson's disease, so as to provide reference and guidance for clinical healthcare professionals to construct and improve patient home-based exercise intervention plans.Methods:According to the top-down principle of the "6S" evidence model, UpToDate, BMJ, National Institute for Health and Clinical Excellence, Guidelines International Network, National Guideline Clearinghouse, Medlive, Clinical Guidelines Network, Joanna Briggs Institute, Cochrane Library, PubMed, CINAHL, Web of Science, Embase, China National Knowledge Infrastructure, Wanfang Data, VIP and China Biology Medicine Disc were systematically searched for relevant literature on home-based exercise management in patients with Parkinson's disease, including guidelines, expert consensuses, systematic reviews, evidence summaries, clinical decisions, recommended practices and best practices. The search period was from the establishment of the databases to October 31, 2022. Two researchers independently evaluated the quality of the literature and extracted and integrated evidence.Results:A total of 27 articles were included, including three guidelines, five expert opinions and consensuses, three clinical practice suggestions, 15 systematic evaluations and one clinical decision. A total of 45 pieces of evidence were summarized from six aspects, such as organizational management, health education, exercise evaluation, exercise prescription, family and social support and monitoring guidance.Conclusions:This study summarized the best evidence of home-based exercise management for patients with mild to moderate Parkinson's disease, which can provide evidence-based basis for clinical staff to formulate home-based exercise management programs and standardize practice standards.

Objective:To establish early warning indicators for Chinese nurses to recognize in-hospital cardiac arrest (IHCA) of adult inpatients.Methods:Computer retrieval of Chinese and English databases such as CNKI, Wanfang Database, VIP, National Medical Library of the United States PubMed Database, Web of Science, Embase Database of the Netherlands Medical Abstracts, Cochrane Library Database and other international guidelines collaboration network (GIN), National Institute for Health and Clinical Optimization (NICE), Scottish Intercollegiate Guidelines Network (SIGN), BMJ best clinical practice and other guidelines was performed. The retrieval time limit for respiratory and cardiac arrest early warning indicators or risk identification related content of the adult inpatient in the professional website was until June 30, 2020. After literature research and expert group analysis, the research group drew up an expert correspondence questionnaire, and selected 32 medical and nursing experts from Beijing, Tianjin, Jilin, Shandong, Shaanxi, Sichuan, Zhejiang and other grade three first-class general hospitals from July to September 2022. The Delphi method was used to conduct two rounds of expert correspondence, forming the final version of the early warning index of cardiac arrest in adult inpatients.Results:Five first-level indicators, 23 second-level indicators and 41 third-level indicators including vital signs, consciousness and pupils, postoperative blood drainage volume, lab results and other five aspects were initially formed. The effective response rates of the two rounds of expert correspondence were 100% (32/32) and 93.75% (30/32), respectively, the Kendall coordination coefficients W of the first round and the second round were 0.340 and 0.462, respectively, the expert authority coefficients Cr were 0.88 and 0.89, respectively, the mean value of importance assignment was 3.94-5.00, 4.07-5.00, and the coefficient of variation was 0-0.16, 0-0.14, with statistically significant differences (all P < 0.05). Finally, 5 primary indicators, 23 secondary indicators and 43 tertiary indicators were formed, including five aspects of vital signs, consciousness and pupils, postoperative blood drainage, lab results, symptoms and chief complaints. Conclusion:The expert consultation on the early warning indicators of IHCA for adult patients tends to be consistent and scientific, which is applicable to help nurses detect the changes of patients' condition as early as possible.

Objective:Under the guidance of evidence-based theory, the discharge preparation intervention plan for stroke patients was constructed, in order to provide a reference for improving the discharge preparation of stroke patients.Methods:To retrieve the relevant guidelines, consensus, literature and quality evaluation, summarize relevant evidence and evaluate the first draft of the intervention plan, implement two rounds of expert enquiry, according to the expert score and opinions, and improve the entries after the group discussion to form the final intervention plan.Results:In the two rounds of correspondence, the expert positive coefficient was 100%, the expert authority coefficient was 0.81 and 0.84 respectively, and the Kendall harmony coefficient of each entry was 0.165 and 0.453 respectively. The difference was statistical significant ( P<0.05). The ultimate in intervention plan included 6 primary entry, 23 secondary entries. Conclusions:The discharge preparation intervention plan for stroke patients constructed in this study is scientific, reliable and feasible, and is of great significance to improving the discharge preparation of stroke patients.