Objective:To search and summarize the best evidence for preoperative prehabilitation in patients with lung cancer complicated by chronic obstructive pulmonary disease and to inform the management of preoperative prehabilitation in patients with lung cancer combined with COPD by clinical providers.Methods:Systematically guideline websites, professional society websites, evidence-based databases, and comprehensive databases were searched for types of literature including clinical decision making, guidelines, expert consensus, evidence summaries, systematic evaluations, Meta-analyses, and randomized controlled trials. The time for the retrieval was from the inception of databases until October 31th, 2023. And the quality of the included literature was evaluated and evidence was extracted, evaluated the quality of the included literature, and extracted evidence.Results:Finally, 18 articles were included, including 8 guidelines, 8 expert consensus, and 2 systematic reviews. Summarized the 30 best evidence in 4 areas of prerehabilitation: need, timing, location, content (including smoking cessation management, respiratory exercise, exercise, nutritional support, and medication management).Conclusions:This study summarizes the best evidence for preoperative prehabilitation in patients with lung cancer combined with chronic obstructive pulmonary disease, and healthcare professionals should be mindful of the need to develop preoperative prehabilitation protocols judiciously, taking into account the specific clinical context during the subsequent translation of the evidence to the clinic.

Objective:To explore the potential categories of return-to-work self-efficacy of postoperative patients with thyroid cancer and analyze the influencing factors, so as to provide theoretical basis for implementing precise interventions of occupational rehabilitation.Methods:This was a cross-sectional study. A convenient sampling method was used to select 257 postoperative patients with thyroid cancer in Zhujiang Hospital of Southern Medical University from May 2022 to July 2023. The General Information Questionnaire, Return-To-Work Self-Efficacy Questionnaire and Cancer Fatigue Scale were used for investigation. Latent profile analysis was used to explore the potential categories of return-to-work self-efficacy of postoperative patients with thyroid cancer. Logistic regression and decision tree were used to analyze the influencing factors of different potential categories.Results:Finally, 250 postoperative patients with thyroid cancer were included. There were 76 males and 174 females, aged (37.91 ± 8.04) years old. The return-to-work self-efficacy of postoperative patients with thyroid cancer was divided into 2 potential categories: low return-to-work self-efficacy group (72.0%, 180/250) and high return-to-work self-efficacy group (28.0%, 70/250). Logistic regression showed education, thyrotropin suppressive therapy, cancer-related fatigue and age were factors influencing the potential categories of return-to-work self-efficacy of postoperative patients with thyroid cancer ( OR values were 0.951 - 19.820, all P<0.05). Decision tree model showed education level and cancer-related fatigue were the most important factors ( χ2 = 31.40, 16.95, both P<0.05). Conclusions:There were two potential categories of return-to-work self-efficacy of postoperative patients with thyroid cancer. Most of them had low levels of return-to-work self-efficacy. Health care professionals should focus on patients who are less educated and having cancer-related fatigue, meanwhile, should not ignore patients who are substandard thyrotropin suppressive therapy, and older. Implement precise interventions of occupational rehabilitation to improve the return-to-work self-efficacy of postoperative patients with thyroid cancer so as to help them reintegrate into society.

Objective:To analyze and summarize the key points of design and implementation of new drug clinical trials for ankylosing spondylitis.Methods:The platform for drug clinical trial registration and information published on the official website of center for drug review and evaluation of national medical products administration (CDE) was searched to obtain data and classified statistics was conducted then. The Mean±SD and M ( Q1, Q3) were used for quantitative data for statistical description, and the rate, composition or relative ratio of qualitative data were used for statistical description. Results:A total of 23 clinical trials meeting the requirements were screened, among which 19 were biological products included in nine phase Ⅲ clinical trials. Among the four chemical drugs, two were phase Ⅱ clinical trials. One of the clinical trials on AS adopted the 1966 New York classification criteria, accounting for 4%. Nineteen of the trials adopted the1984 New York classification criteria, accounting for 83%. Three other trials adopted unspecified classification criteria, accounting for 13%. In one of these clinical trials, the age of patients included was older than 16 years old, 9 trials were 18 to 65 years old, 6 were 18 years old but without upper limit. In the definition of active AS, 19 trials took BASDAI≥4 as the cut-off value for active disease, and BASDAI, total back pain, spinal pain and morning stiffness were regarded as active disease in 4.Conclusion:The number of dosestic AS clinical trial projects continnes to rise. The 1984 classification criteria is adopted as the classification criteria in clinical trials. The minimum age in the inclusion criteria is 18 years old, there is no upper limit in age for inclusion. Disease activity can be evaluated by BASDAI score, combined with comprehensive indicators such as night-time back pain, global spinal pain and morning stiffness.

Humans ; Asthma/drug therapy* ; Biological Therapy

Humans ; Aminoquinolines/therapeutic use* ; Carcinoma, Non-Small-Cell Lung/genetics* ; Lung Neoplasms/genetics* ; Mutation/genetics* ; Standard of Care

Objective:To compare the efficacy and safety of different dosages of new drugs in the treatment of PsA by using network meta-analysis.Methods:Three medical databases (PubMed, Web of Science, Cochrane Library) were searched for the studies that compared the efficacy and safety of 4 new drugs (secukinumab, ixekizumab, apremilast, tofacitinib) with different dosages in the treatment of PsA. Data from included studies were analyzed by Stata 15.0.Results:A total of 16 RCTs were included. The results of the network meta-analysis showed that: (1) Among the overall patients, in terms of ACR20 response rate, the larger the surface under the cumulative ranking (SUCRA), the more effective it is. Secukinumab 300 mg Q4W(96.1%) had the best efficacy, followed by ixekizumab 80 mg Q4W(79.0%), ixekizumab 80 mg Q2W(75.1%), secukinumab 150 mg Q4W(73.2%), apremilast 30 mg BID(50.6%), apremilast 20 mg BID(38.6%), tofacitinib 5 mg BID(18.1%), tofacitinib 10 mg BID(17.7%) and placebo(2.0%). (2) In terms of PASI75 response rate, the larger the area under the SUCRA curve, the more effective it is. Ixekizumab 80 mg Q4W(96.1%) had the best efficacy, followed by ixekizumab 80 mg Q2W(88.7%), secukinumab 300 mg Q4W(75.6%), secukinumab 150 mg Q4W(63.3%), apremilast 30 mg BID(44.5%), apremilast 20 mg BID(38.4%), tofacitinib 10 mg BID(30.0%), tofacitinib 5 mg BID(12.5%) and placebo(1.0%). (3) Among the overall patients, in terms of safety, the smaller the area under the SUCRA curve, the higher the safety it is. Secukinumab 300 mg Q4W (17.3%) has the best safety. (4) The results of subgroup analysis showed that in terms of ACR20 response rate, ixekizumab 80 mg Q2W(85.3%) had the best efficacy in bDMARDs-na?ve patients, while in bDMARDs-IR patients, secukinumab 300 mg Q4W(83.9%) had the best efficacy.Conclusion:Among all patients, secukinumab 300 mg Q4W is the best in terms of ACR20 response rate and safety, but ixekizumab 80 mg Q4W is more effective in improving PsA lesions comparing yo other drugs.

Objective:To construct and validate a risk prediction model for immune checkpoint inhibitor-associated pneumonia (CIP) using machine learning algorithms and the nomogram, aiming to provide an accurate and intuitive method to assist nurses in screening people at high risk of developing CIP.Methods:This was a retrospective case -control study. A total of 230 oncology patients treated with immune checkpoint inhibitors attending Zhujiang Hospital of Southern Medical University from January 2019 to February 2022 were collected using the hospital's electronic medical record system. The prediction models were built using five machine learning algorithms and nomogram. The models were then validated on a separate test set, and their differentiation and stability were assessed using evaluation indices like AUC and accuracy rate.Results:Underlying lung disease, smoking history, serum albumin≤35 g/L and radiotherapy history were identified as important influencing factors of CIP in all six models. The AUC of K nearest neighbor, support vetor machines (SVM), naive Bayesian, decision tree and random forest models predicted CIP were 0.647, 0.696, 0.930, 0.870, and 0.934, respectively. The AUC of the model created by the nomogram was 0.813, which was lower than the best random forest model in the machine learning algorithm, but with good predictive performance (AUC=0.934).Conclusions:The nomogram model can assess the patient′s risk more intuitively, but the risk prediction model of CIP based on a machine learning algorithm has a higher diagnostic value. It is suggested that the accuracy and usefulness of the prediction model can be increased by combining the nomogram's foundation with the machine learning algorithm.

Objective:To explore the influence of nurses ' professional identity and missed nursing in Oncology Department on nurses ' team cooperation, and whether nurses ' participation in enhanced recovery after surgery (ERAS) can regulate nurses ' team cooperation. Methods:From November to December 2021, 587 nurses from 34 surgical wards of the Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital) were selected as the study subject by convenience sampling method. The nurses were investigated with the General Information Questionnaire, Occupational Identity Scale (OIS) , Oncology Missed Nursing Care Feedback Scale, and Nursing Teamwork Survey (NTS) . A total of 587 questionnaires were distributed, and 583 valid questionnaires were recovered, with a valid recovery rate of 99.32% (583/587) .Results:Among 583 nurses in Oncology Department, the scores of NTS, OIS and Oncology Missed Nursing Care Feedback Scale were (126.86±15.62) , (123.26±22.67) and (121.24±52.79) respectively. The total score of NTS of nurses in Oncology Department was positively correlated with the total score of OIS and the total score of Oncology Missed Nursing Care Feedback Scale ( P<0.01) . Missed nursing played a part of mediating effect among professional identity and team leadership, trust and support, and team mental, and the direct effect was greater than the indirect effect. Conclusions:The professional identity of nurses in Oncology Department directly and positively affects the team leadership, trust and support, and team mental in nurse team cooperation, and the missed nursing has a mediating effect. The degree of nurses ' participation in ERAS has a moderating effect on nurse team cooperation.

Objective:To investigate factors related to non-variceal upper gastrointestinal bleeding(NVUGIB)in hospitalized elderly patients.Methods:A retrospective study was conducted to collect the medical records of 1 085 elderly patients at the Affiliated Hospital of Qingdao University from January 1, 2018 to January 1, 2019.According to whether NVUGIB occurred during hospitalization, they were divided into the bleeding group(173 cases)and the control group(912 cases). General information(age, sex, smoking and drinking), diseases, medications and laboratory test results for the two groups were compared and analyzed, and factors related to NVUGIB were analyzed via binary Logistic regression.Results:There were significant differences in age, smoking, drinking, peptic ulcer, tumor, coronary heart disease, atrial fibrillation, stroke, helicobacter pylori(HP)infection, acute respiratory failure, use of anti-coagulant, anti-platelet drugs, nonsteroidal anti-inflammatory drugs and glucocorticoids, leukocyte counts, hemoglobin, C-reactive protein, procalcitonin, prothrombin time and international normalized ratio(INR), D-dimer, triglycerides, albumin and glycosylated hemoglobin(all P<0.05). Multivariate Logistic regression analysis showed that history of tumor( OR=1.552, 95% CI: 1.028-2.344), peptic ulcer( OR=4.797, 95% CI: 2.263-10.165), HP infection( OR=7.199, 95% CI: 1.825-28.571), acute respiratory failure( OR=2.977, 95% CI: 1.314-6.757), use of anti-coagulant and anti-platelet drugs( OR=2.715, 95% CI: 1.769-4.167), prolonged INR( OR=21.314, 95% CI: 2.321-195.727), increased leukocyte count( OR=10.370, 95% CI: 6.521-16.493)and hypoproteinemia( OR=1.970, 95% CI: 1.304-2.976)were independent risk factors for NVUGIB in hospitalized elderly patients. Conclusions:For hospitalized elderly patients, attention should be paid to their history of tumor, peptic ulcer, HP infection, acute respiratory failure, prolonged INR, elevated leukocyte counts, hypoalbuminemia and the use of anti-coagulant and anti-platelet drugs.The occurrence of NVUGIB, early evaluation and intervention should be carefully monitored or carried out to reduce its incidence in hospitalized elderly patients.

Objective:To investigate the effects and mechanism of cannabinoid (CBD) on the anxiety- and depression-like behaviors induced by lipopolysaccharide (LPS) in mice.Methods:C57BL/6J mice were intraperitoneally injected with LPS to establish the model of neuroinflammation. CBD was injected intraperitoneally 24 h after modeling. Behavioral tests were performed to evaluate the anxiety- and depression-like behaviors in mice. CBD-pretreated BV-2 microglia cells were stimulated with LPS in vitro. The levels of tumor necrosis factor α (TNF-α), interleukin-1β (IL-1β) and CD86 in mouse cerebral cortex, hippocampus, prefrontal cortex and BV-2 cells were measured by qRT-PCR. The protein level of nuclear factor (NF-κB) in mouse brain and BV-2 cells was determined by Western blot. Results:CBD significantly increased the residence time and movement distance of LPS-treated mice in the central area in the open filed test (OFT), and reduced the immobility time in tail suspension test (TST) and force swimming test (FST). In addition, CBD alleviated the neuroinflammation and inhibited the activation of microglia in mouse brain. In vitro, CBD significantly inhibited the activation of BV-2 microglia cells. Both in vivo and in vitro experiments confirmed that CBD could inhibit NF-κB expression. Conclusions:LPS could induce the activation of BV-2 microglia cells and the expression of inflammatory factors in mouse brain accompanied with abnormal behaviors. CBD could inhibit the activation of microglia, alleviate the neuroinflammation in different regions of mouse brain and improve behavioral performance.