Objective:To explore the research hotspots and developmental trends in the application of artificial intelligence (AI) in the health management of chronic obstructive pulmonary disease (COPD) .Methods:Literature related to the application of AI in COPD health management published between 1999 and 2024 was retrieved from the Web of Science Core Collection database. Visualization analyses were performed using Scimago Graphica, VOSviewer, and CiteSpace software. National geographic maps, author and institutional collaboration networks, keyword co-occurrence graph, keyword clustering views, and burst detection analysis were constructed to identify research hotspots and trends in this field.Results:A total of 192 publications were included, with an overall increasing trend in annual publication volume. The United States ranked first in publication count. Collaboration among authors and research teams was relatively dispersed. Current research hotspots focus on COPD risk assessment and prediction, health promotion interventions for COPD patients, and improving diagnostic accuracy. Future research trends are expected to emphasize the broader application of AI algorithms, the development of predictive models to improve forecasting performance, integration of diverse technical approaches for differential diagnosis, and enhancement of patient adherence.Conclusions:The application of AI in COPD health management is expanding, yet international and inter-author collaboration remains insufficient. There is a need to broaden and deepen research in this field. Future work may focus more on optimizing and applying algorithmic technologies and improving system construction to enhance patient adherence.

Objective:To explore the research hotspots and developmental trends in the application of artificial intelligence (AI) in the health management of chronic obstructive pulmonary disease (COPD) .Methods:Literature related to the application of AI in COPD health management published between 1999 and 2024 was retrieved from the Web of Science Core Collection database. Visualization analyses were performed using Scimago Graphica, VOSviewer, and CiteSpace software. National geographic maps, author and institutional collaboration networks, keyword co-occurrence graph, keyword clustering views, and burst detection analysis were constructed to identify research hotspots and trends in this field.Results:A total of 192 publications were included, with an overall increasing trend in annual publication volume. The United States ranked first in publication count. Collaboration among authors and research teams was relatively dispersed. Current research hotspots focus on COPD risk assessment and prediction, health promotion interventions for COPD patients, and improving diagnostic accuracy. Future research trends are expected to emphasize the broader application of AI algorithms, the development of predictive models to improve forecasting performance, integration of diverse technical approaches for differential diagnosis, and enhancement of patient adherence.Conclusions:The application of AI in COPD health management is expanding, yet international and inter-author collaboration remains insufficient. There is a need to broaden and deepen research in this field. Future work may focus more on optimizing and applying algorithmic technologies and improving system construction to enhance patient adherence.

Objective To establish an illness perception intervention program for patients with chronic obstructive pulmonary disease(COPD)and preliminarily analyse its application effect.Methods On the basis of systematic retrieval,a draft of the illness perception intervention program for patients with COPD was formed through content analysis.From May to August 2022,after 2 rounds of expert consultation,the illness perception intervention program for patients with COPD was formed.Patients with COPD who were hospitalized in the respiratory departments of 2 hospitals in Jiangsu Province from December 2022 to January 2023 were selected as the study subjects by convenience sampling method.The experimental group was treated with the illness perception intervention program,while the control group was treated with routine nursing.The effects of the 2 groups were compared by Brief Illness Perception Questionnaire,Modified British Medical Research Council、Brief Illness Perception Questionnaire、Acceptance and Action Questionnaire Ⅱ,COPD Assessment Test,COPD Self-management Scale before and after intervention,and a month after intervention.Results The illness perception intervention program for patients with COPD included 6 intervention topics and 24 specific intervention items.In the 2 rounds of correspondence,the expert group authority coefficient was 0.81,and the Kendall coordination coefficients were 0.19 and 0.16 in the second round(all P＜0.001).In the intervention study,the recruitment rate of patients was 56％;the withdrawal rate was 15％;and the high compliance rate was 80％.Repeated measures analysis of variance showed that there was an interaction effect between the scores of Acceptance and Action Questionnaire Ⅱ of the 2 groups(P＜0.05).The differences in the scores of Brief Illness Perception Questionnaire,COPD Assessment Test,Self-management Scale between the 2 groups were statistically significant in terms of time effect(P＜0.05),and the differences in the scores of the Brief Illness Perception Questionnaire and Acceptance and Action Questionnaire Ⅱ between the 2 groups were statistically significant in terms of main effect(P＜0.05).Conclusion The established illness perception intervention program for patients with COPD is scientific,feasible and effective,and it can provide practical references for clinical healthcare workers to promote illness perception and improve negative psychology in patients with COPD.

Objective To understand the current status of implicit theory derivation forms and applications in the health field at home and abroad,and to provide references for clinical practice and future research.Methods In accordance with the scoping review framework,PubMed,Embase,Web of Science,Cochrane Library,CINAHL,PsycINFO,CNKI,Wanfang,VIP,SinoMed were searched for relevant studies.The time limit for the search was from the establishment of the databases to 10 March 2024.Results A total of 45 articles were included in the study,including 24 articles on health behaviour and 21 articles on mental health,covering 14 derivations of implicit theories such as implicit health theory,implicit weight theory and implicit emotion theory.The main intervention process of implicit theories can be summarised as 3 major steps:belief-led intervention,attention examination and outcome testing.Conclusion The research value of implicit theory in the field of health has been gradually explored,and it is an important antecedent to improve individual health behaviors and mental health,and its brief and effective intervention model is more compatible with the characteristics of nursing work,so domestic and foreign nursing researchers can learn from the relevant research results to further optimize the strategies of health education,preventive guidance,and psychological care,and to carry out high-quality studies to validate them.

The self-care level of patients with chronic diseases changes over time, and trajectories can describe this dynamic process. This paper reviews the concept, origin, development and self-care trajectory of chronic disease patients in order to understand the current self-care trajectory, influencing factors and self-care intervention programs of chronic disease patients, and to look forward to the development of chronic disease self-care in China. It lays the foundation for the formulation of self-care intervention programs for patients with chronic diseases in China, so as to comprehensively and permanently improve the self-care level of patients with chronic diseases.

Objective:To explore the application effect of continuous quality improvement based on trauma team activation model in emergency triage.Methods:This study is a historical controlled study. A total of 12 215 trauma patients receiving initial treatment in the Emergency Department of the First Affiliated Hospital with Nanjing Medical University from January 2020 to June 2021 were selected as the research objects by the convenience sampling method, and 3 896 trauma patients from January to June 2020 were enrolled as the baseline group, and 4 054 patients from July to December 2020 were enrolled as the phaseⅠ improvement group, and 4 265 patients from January to June 2021 were enrolled as the phaseⅡ improvement group. The baseline group adopted the one-tiered trauma team activation model, which was evaluated and decided by the first-visiting doctor. The phaseⅠ improvement group received the one-tiered trauma team activation model, which was evaluated and decided by pretest triage nurses. The stageⅡ improvement group conducted the two-tiered trauma team activation model, which was evaluated and decided by pretest triage nurses. The trauma team activation time, overtriage rate and undertriage rate were compared between the three groups.Results:The trauma team activation time of the phaseⅠ improvement group and phaseⅡ improvement group was shorter than that of the baseline group, and the difference was statistically significant ( P<0.05). The overtriage rate of the phaseⅡ improvement group was lower than that of the baseline group and the phaseⅠ improvement group, and the differences were statistically significant ( P<0.05). The underage rate of the three groups were <5%, and the differences were not statistically significant ( P>0.05) . Conclusions:The two-tiered activation of trauma team mode led by nurses can shorten the trauma team activation time, reduce the overtriage rate and undertriage rate, improve the quality of trauma team activation.

Objective:To evaluate the influencing factors of chronic obstructive pulmonary disease (COPD) complicated with sarcopenia by Meta-analysis, so as to provide evidence-based basis for early prevention of sarcopenia.Methods:The literature on the influencing factors of COPD patients with sarcopenia was searched on China National Knowledge Infrastructure, VIP, WanFang Data, PubMed, Web of Science, Cochrane Library, CINAHL, and Embase. The search period was from database establishment to April 3, 2023. Stata 17.0 software was used for meta-analysis.Results:A total of 14 articles were included, including 13 cross-sectional studies and one cohort study. There were 1 921 COPD patients, of which 591 were complicated with sarcopenia. A total of 8 influencing factors were extracted. The analysis results showed that age [ OR=1.09, 95% confidence interval ( CI) : 1.06-1.12, P<0.01], the Global for Chronic Obstructive Lung Disease (GOLD) grade ( OR=8.83, 95% CI: 1.88-41.53), P<0.01), modified Medical Research Council Dyspnea Scale (mMRC) score ( OR=2.10, 95% CI: 1.30-3.40, P<0.01), BMI ( OR=0.65, 95% CI: 0.56-0.76, P<0.01), forced expiratory volume in the first second/forced vital capacity (FEV 1/FVC) ( OR=0.95, 95% CI: 0.92-0.99, P<0.01) were influencing factors for COPD patients with sarcopenia, while smoking, gender and TNF-α were not influencing factors for COPD patients with sarcopenia. Conclusions:Age, GOLD grade, mMRC score, BMI and FEV 1/FVC were influencing factors for COPD complicated with sarcopenia. Clinical medical and nursing staffs should pay attention to key populations and conduct early screening and prevention of sarcopenia.

BACKGROUND: Venous thromboembolism (VTE) as the most common cancer-associated complication has become the second death-causing reason among cancer patients. The management of VTE in patients with lung adenocarcinoma should focus on early and timely detection of risk factors. The aim of the study is to investigate the current situation of VTE in patients with lung adenocarcinoma treated with anti-tumor therapy and then explore the risk factors associated with the occurrence of VTE during anti-tumor therapy for early detection and screening of VTE. METHODS: The present study included patients diagnosed as lung adenocarcinoma undergoing anti-tumor therapy in First Affiliated Hospital of Nanjing Medical University between December 2019 and May 2021. The risk factors were identified via univariate and multivariate Cox analysis. The incidence of independent risk factors were investigated through Kaplan-Meier curves combined with Log-rank test. RESULTS: The results of univariate and multivariate Cox regression showed that history of VTE, targeted therapy and radiotherapy were risk factors for VTE in patients with lung adenocarcinoma treated with anti-tumor therapy (P<0.05). Furthermore, the results of Kaplan-Meier curves and Log-rank tests indicated the incidences of VTE in patients with history of VTE, targeted therapy and radiotherapy were higher (P<0.05). CONCLUSIONS History of VTE, radiotherapy and targeted therapy are found as independent risk factors for the occurrence of VTE, which should be identified and monitored for reduction of VTE incidence.
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Humans ; Venous Thromboembolism ; Incidence ; Lung Neoplasms ; Adenocarcinoma of Lung ; Risk Factors

Objective:To explore the research hotspots and evolution of Common Sense Model (CSM) , in order to provide a clearer research direction for nursing workers to improve health-related outcomes of patients from the perspective of health psychology.Methods:English literature related to CSM was searched in Web of Science Core Collection database from January 1, 1985 to December 31, 2020. VOSviewer 1.6.15 software was used to draw a visual map of keyword density, clustering and time distribution and CiteSpace 5.6.R5 software was used to detect emerging words.Results:Finally, 364 papers were included, and the annual publication volume and citation frequency of CSM research showed an overall upward trend. CSM research hotspots mainly focused on interpreting or intervening patients' perception of disease, in order to improve self-management of patients, compliance, quality of life, anxiety, depression and psychological distress. The research objects were mainly cancer patients. Social support and psychological distress were explored based on the CSM framework and using Meta-analysis methods to summarize may be an important part of future CSM research work. CSM research was currently in the stage of summarizing and deepening after theoretical perfection and extensive application.Conclusions:The annual publication volume and citation frequency of CSM research have generally shown an upward trend, which has attracted the attention of domestic scholars, but there is still a big gap compared with foreign countries. Future research can explore the role of social support in the process of individual self-regulation after illness and explore effective methods to intervene in patients' negative disease perception through Meta-analysis, in order to improve patients' health outcomes.

Objective:To explore the relationship among illness perception, patient activation and self-management in patients with lung cancer, and to investigate the mediating effect of patient activation between illness perception and self-management.Methods:A total of 270 inpatients with lung cancer were selected by convenience sampling method.They were investigated by self-made social demographic questionnaire, brief illness perception questionnaire(BIPQ), patient activation measure(PAM13)and cancer patient self-management scale.SPSS 26.0 software was used for data analysis.T-test, analysis of variance, Pearson correlation analysis and mediating effect test were used for statistical analysis.Results:A total of 255 questionnaires were collected effectively.The total score of illness perception, patient activation and self-management in patients with lung cancer were (41.91±7.94), (62.31±16.39)and (142.20±20.59) .The total score of illness perception of lung cancer patients was significantly negatively correlated with the total score of patient activation and patient self-management( r=-0.652, P<0.01; r=-0.762, P<0.01), and the total score of patient activation was significantly positively correlated with the total score of self-management in patients with lung cancer( r=0.746, P<0.01). Patient activation had a partial mediating effect between illness perception and self-management in patients with lung cancer, and the mediating effect accounted for 37.10% of the total effect. Conclusion:Patient activation plays a partial mediating role between illness perception and self-management in lung cancer patients, and it is an important protective factor for patients to actively participate in self-management of disease.On the basis of assessing the illness perception and patient activation of lung cancer patients, medical staff can timely correct the negative illness perception and help them establish and maintain a high positivity level to improve their self-management.