In recent years, remarkable advances have been made in lung transplantation regarding donor evaluation, perioperative support, and immune regulation, laying a foundation for improving the long-term survival of recipients. The rational application of extended criteria donor lungs and the popularization of ex vivo lung perfusion technology have enhanced the utilization efficiency and safety of marginal donor lungs. Refined assessment of risk factors such as donors’ smoking history and infectious status has reduced the incidence of primary graft dysfunction and postoperative infection. In terms of recipient management, individualized assessment systems have been gradually optimized. The standardized application of intraoperative extracorporeal membrane oxygenation and the development of minimally invasive surgical techniques have effectively alleviated perioperative injuries. The optimization of postoperative immunosuppressive regimens and advances in rejection monitoring technologies have further improved the long-term survival of grafts. Nevertheless, chronic graft dysfunction and recurrent or refractory infections remain the major bottlenecks restricting long-term prognosis. Future research should focus on expanding donor sources, improving the repair quality of marginal donor lungs, promoting precise immunosuppression and anti-infection strategies, and comprehensively enhancing the long-term survival rate and quality of life of lung transplant recipients.

Objective:To investigate the mediating effect of psychological flexibility between recurrence risk perception and health behavior in stroke patients.Methods:From July to December 2024, 233 stroke patients at the First Affiliated Hospital of Zhengzhou University were selected using convenience sampling. Electronic questionnaires were used to collect patients' general information, perception of stroke recurrence risk, health behavior, and psychological flexibility.Results:The scores for recurrence risk perception, psychological flexibility, and health behavior of 233 stroke patients were (39.75±4.39), (47.45±4.19), and (54.04±3.78), respectively. Health behavior were positively correlated with recurrence risk perception ( r=0.495, P<0.01), and negatively correlated with psychological flexibility ( r=-0.367, P<0.01). Psychological flexibility partially mediated the relationship between recurrence risk perception and health behavior, with an effect value of 0.080 and an effect proportion of 17.5% (0.080/0.458) . Conclusions:Recurrence risk perception not only directly predicts health behavior in stroke patients but also indirectly influences their health behavior through psychological flexibility. Healthcare providers should enhance recurrence risk perception among stroke patients and incorporate the improvement of psychological flexibility as part of intervention strategies to improve patients' health behavior.

Objective:To construct service quality evaluation indicators for brain-heart health management outpatient clinics, providing a reference for the standardized, high-quality management and evaluation of brain-heart health management clinics.Methods:Based on Donabedian's "structure-process-outcome" three-dimensional quality evaluation theory, the initial evaluation indicators were drafted after reviewing relevant literature and conducting qualitative interviews. After two rounds of Delphi expert consultation, the final service quality evaluation indicators for brain-heart health management outpatient clinics were established.Results:The effective response rate for the questionnaires from both rounds of expert consultation was 100.00% (15/15). The experts' authority coefficients were 0.925 and 0.930, respectively, the variation coefficients of the indicators were 0 to 0.21 and 0 to 0.19, and the Kendall concordance coefficients were 0.231 and 0.219 ( P<0.01). The final service quality evaluation indicators for brain-heart health management outpatient clinics included three primary indicators, nine secondary indicators, and 23 tertiary indicators, with specific definitions for the tertiary indicators. Conclusions:The service quality evaluation indicators for brain-heart health management outpatient clinics constructed in this study are scientific and reliable. The indicators reflect the specialty of brain-heart health management and highlight the professional value of brain-heart health managers, providing a reference for the high-quality development of brain-heart health management.

Lung transplantation is an important means to treat end-stage lung disease and improve the survival rate and quality of life of patients. However, many postoperative complications seriously affect the prognosis of recipients. Accurate identification of key prognostic factors and construction of individualized and accurate prediction models are of great significance for postoperative prognosis evaluation, treatment strategy formulation and clinical decision-making. In recent years, the clinical prediction model of lung transplantation has gradually changed from traditional statistical methods to machine learning-driven. Compared with traditional models such as Cox regression and Logistic regression, machine learning models such as random forest, support vector machine and artificial neural network have certain advantages in postoperative survival rate prediction, early warning of complications and pulmonary function evaluation. However, their application is also affected by insufficient sample size and poor interpretability of models. Under the condition of small samples, the traditional model still has important value in prediction accuracy. The appropriate prediction model should be selected according to the clinical status of lung transplantation in China, considering the factors such as sample size, variable complexity and model interpretability. In the future, a multi-center, large-sample lung transplantation database should be constructed to further optimize and tap the potential of machine learning algorithms to improve the robustness and clinical applicability of the model.

Objective:To investigate the mediating effect of psychological flexibility between recurrence risk perception and health behavior in stroke patients.Methods:From July to December 2024, 233 stroke patients at the First Affiliated Hospital of Zhengzhou University were selected using convenience sampling. Electronic questionnaires were used to collect patients' general information, perception of stroke recurrence risk, health behavior, and psychological flexibility.Results:The scores for recurrence risk perception, psychological flexibility, and health behavior of 233 stroke patients were (39.75±4.39), (47.45±4.19), and (54.04±3.78), respectively. Health behavior were positively correlated with recurrence risk perception ( r=0.495, P<0.01), and negatively correlated with psychological flexibility ( r=-0.367, P<0.01). Psychological flexibility partially mediated the relationship between recurrence risk perception and health behavior, with an effect value of 0.080 and an effect proportion of 17.5% (0.080/0.458) . Conclusions:Recurrence risk perception not only directly predicts health behavior in stroke patients but also indirectly influences their health behavior through psychological flexibility. Healthcare providers should enhance recurrence risk perception among stroke patients and incorporate the improvement of psychological flexibility as part of intervention strategies to improve patients' health behavior.

Objective:To construct service quality evaluation indicators for brain-heart health management outpatient clinics, providing a reference for the standardized, high-quality management and evaluation of brain-heart health management clinics.Methods:Based on Donabedian's "structure-process-outcome" three-dimensional quality evaluation theory, the initial evaluation indicators were drafted after reviewing relevant literature and conducting qualitative interviews. After two rounds of Delphi expert consultation, the final service quality evaluation indicators for brain-heart health management outpatient clinics were established.Results:The effective response rate for the questionnaires from both rounds of expert consultation was 100.00% (15/15). The experts' authority coefficients were 0.925 and 0.930, respectively, the variation coefficients of the indicators were 0 to 0.21 and 0 to 0.19, and the Kendall concordance coefficients were 0.231 and 0.219 ( P<0.01). The final service quality evaluation indicators for brain-heart health management outpatient clinics included three primary indicators, nine secondary indicators, and 23 tertiary indicators, with specific definitions for the tertiary indicators. Conclusions:The service quality evaluation indicators for brain-heart health management outpatient clinics constructed in this study are scientific and reliable. The indicators reflect the specialty of brain-heart health management and highlight the professional value of brain-heart health managers, providing a reference for the high-quality development of brain-heart health management.

Lung transplantation is an important means to treat end-stage lung disease and improve the survival rate and quality of life of patients. However, many postoperative complications seriously affect the prognosis of recipients. Accurate identification of key prognostic factors and construction of individualized and accurate prediction models are of great significance for postoperative prognosis evaluation, treatment strategy formulation and clinical decision-making. In recent years, the clinical prediction model of lung transplantation has gradually changed from traditional statistical methods to machine learning-driven. Compared with traditional models such as Cox regression and Logistic regression, machine learning models such as random forest, support vector machine and artificial neural network have certain advantages in postoperative survival rate prediction, early warning of complications and pulmonary function evaluation. However, their application is also affected by insufficient sample size and poor interpretability of models. Under the condition of small samples, the traditional model still has important value in prediction accuracy. The appropriate prediction model should be selected according to the clinical status of lung transplantation in China, considering the factors such as sample size, variable complexity and model interpretability. In the future, a multi-center, large-sample lung transplantation database should be constructed to further optimize and tap the potential of machine learning algorithms to improve the robustness and clinical applicability of the model.

Objective:To explore the health behavior of middle-aged and young stroke patients and analyze its influencing factors.Methods:From April to July 2023, convenience sampling was used to select 172 middle-aged and young stroke patients admitted to the First Affiliated Hospital of Naval Medical University as the research subject. A survey was conducted using the General Information Questionnaire, Health Behavior Scale for Stroke Patients, Health Belief Scale, and Multidimensional Scale of Perceived Social Support. Spearman correlation was used to analyze the correlation between health behavior, social support, and health beliefs among middle-aged and young stroke patients. Multiple linear regression was used to analysis the influencing factors of health behavior among middle-aged and young stroke patients. A total of 172 questionnaires were distributed, and 8 questionnaires with missing items and short response times were excluded, and 164 valid questionnaires were collected, with a valid response rate of 95.34%.Results:Among 164 middle-aged and young stroke patients, the total score of the Health Behavior Scale for Stroke Patients was 64.50 (57.00, 80.75), and the average score of the items was 2.58 (2.28, 3.23). Multiple linear regression analysis showed that factors affecting the health behavior of middle-aged and young stroke patients were whether it was the first onset, the time required to reach nearby medical institution, health belief, and social support ( P<0.05) . Conclusions:The health behavior of middle-aged and young stroke patients is above the medium level. In the process of intervening in the health behavior of middle-aged and young stroke patients, medical and nursing staff should pay attention to patients with recurrent stroke and poor access to medical services, while also improving patients' health belief and social support to promote patients' health behavior and reduce stroke recurrence.

Objective:To explore the mediating effect of coping style on disease perception and pre-hospital delayed behavioral intention in patients with acute ischemic stroke.Methods:This study was a cross-sectional study. From February to July 2023, convenience sampling was used to select 205 patients with acute ischemic stroke admitted to the First Affiliated Hospital of Naval Medical University as the study subject. The survey was conducted using the General Information Questionnaire, Stroke Pre-Hospital Delay Behavior Intention, Brief Illness Perception Questionnaire, and Simplified Coping Style Questionnaire.Results:205 questionnaires were filled out, 195 valid questionnaires, and the validity rate of the questionnaire was 95.1%. The Stroke Pre-Hospital Delay Behavior Intention score of patients with acute ischemic stroke was (63.61±16.12). Pre-hospital delayed behavioral intention in patients with acute ischemic stroke was positively correlated with disease perception and negative coping ( r=0.360, 0.266; P<0.01), and negatively correlated with positive coping ( r=-0.279, P<0.01). The mediating effects of positive and negative coping on disease perception and pre-hospital delayed behavioral intention in ischemic stroke patients were 0.111 and 0.097, respectively, accounting for 26.89% and 23.49% of the total effect. Conclusions:There is a partial mediating effect of coping strategies between disease perception and pre-hospital delayed behavioral intention in ischemic stroke patients. In the process of stroke management, medical and nursing staff can reduce pre-hospital delayed behavioral intentions by improving disease cognition and coping style.

By referring to the relevant literature on the application of positive psychology in patients with cognitive impairment at home and abroad, this paper reviews the measurement tools, interrelationships and intervention status of positive psychology in patients with cognitive impairment, and explores the prospects of its application in this population. The aim is to provide a basis for nursing decision-making in patients with cognitive impairments.