It has been popular and challenging to undertake researches on the delay of acquired resistance of epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKI). As key cells for tumor initiation, cancer stem cells (CSC) play an important role in the process of resistance to EGFR-TKI. Although preliminary studies found that traditional Chinese medicine (TCM) could inhibit CSC properties and delay EGFR-TKI resistance, the specific molecular mechanism remains unclear. By summarizing the empirical syndrome treatment of EGFR-TKI resistance via TCM and combining recent researches on TCM intervention in CSC to delay EGFR-TKI resistance, this review discussed the potential molecular pathways and mechanisms of deceleration in resistance to EGFR-TKI by TCM via inhibiting CSC characteristics, in order to expand the research ideas of TCM in combination with targeted therapy.
Humans ; Neoplastic Stem Cells/metabolism* ; Drug Resistance, Neoplasm/drug effects* ; ErbB Receptors/genetics* ; Protein Kinase Inhibitors/therapeutic use* ; Medicine, Chinese Traditional ; Neoplasms/drug therapy* ; Animals ; Drugs, Chinese Herbal/therapeutic use*

Objective To explore the relationship between disease risk perception and objective risk in stroke risk population,and to provide theoretical basis for prevention and control of stroke.Methods From February to May 2023,560 residents who participated in medical examinations in 2 community health service centers of Zhengzhou and Luohe were selected as respondents.The objective risk of stroke was assessed,and the general data questionnaire and Risk Perception Questionnaire for People at High Risk of Stroke were used for investigation.Logistic regression model and restricted cubic spline model were used to analyze the correlation and the dose-response relationship between disease risk perception and objective stroke risk.Results A total of 542 effective questionnaires were collected.The detection rate of stroke high-risk groups was 48.71％.Logistic regression analysis showed that after adjusting confounding factors,the objective risk of stroke in the general population and in different gender stratification decreased first and then increased with the increase of the level of disease risk perception.The results of the restricted cubic spline showed that the disease risk perception and objective risk of stroke in the total population and gender stratification showed a nonlinear dose-response relationship(P nonlinear＜0.05),and the curve showed a"U"type change.The disease risk perception score of 90.0～110.0 was the protective factor of objective risk of stroke.Conclusion The objective risk of stroke decreases first and then increases with the increase of the perceived risk.Medical staff should maintain individual disease risk perception within the appropriate level,and pay attention to the difference in disease risk perception of different gender groups to implement targeted risk communication strategies,so as to promote the development of healthy behaviors and reduce the incidence of stroke.

Objective To review the application scope of risk communication based on eHealth technology in the primary prevention of cardiovascular diseases,so as to provide references for future research and application.Methods A systematic search was conducted in PubMed,Cochrane Library,Embase,Web of Science,CINAHL,PsycINFO,CNKI,Wanfang database,and SinoMed.The search time limit was from the establishment of databases to March 1,2024.The included literature was summarized and analyzed.Results A total of 24 articles were included.The forms of eHealth technology applied in risk communication for primary prevention of cardiovascular include online websites,computerized decision support systems,electronic health records,mobile applications,email,telephone,and text messages.The functions include risk assessment,risk notification,personalized advice,risk tracking and reminders.The outcome indicators include risk perception,physiological indicators,lifestyle and behavior,psychological indicators,feasibility evaluation,decision correlation,doctor-patient communication,intention,risk score,and physician drug prescription.Conclusion The use of eHealth technology in risk communication of cardiovascular diseases has potential value in improving patients'risk perception and promoting healthy behaviors.It is necessary to continuously improve the functions of eHealth technology and enhance its precision and intelligence,so as to better meet the needs of medical staff and patients and promote the efficient implementation of primary prevention of cardiovascular diseases.

Objective To explore the potential categories of dyadic psychological capital and related factors among stroke patients and their spouses,in order to inform the improvement of their mental health.Methods Stroke patients and their spouses were recruited in the Neurology Department of 3 tertiary general hospitals from March,2023 to August,2023 by convenience sampling method.The general information questionnaire,Modified Rankin Scale(mRs),Psychological Capital Questionnaire,The Kessler Psychological Distress Scale(K10)and Perceived Social Support Scale(PSSS)were used for investigation.Latent profile analysis was adopted to explore the categories of dyadic psychological capital,and multiple Logistic regression analysis was used to assess the effect of various factors on different categories.Results A total of 232 returned questionnaires(out of the 235)were valid,resulting an effective response rate of 98.7％.Stroke patients and their spouses were divided into 3 categories,including dyadic low psychological capital-low self-efficacy group(6.0％),dyadic high psychological capital-low resilience group(15.9％)and dyadic medium psychological capital group(78.1％).The stroke patients'education level,mRs scores,occupational status after the illness,level of perceived social support,and spouses'working condition were the influencing factors on potential profiles of dyadic psychological capital(P＜0.05).Conclusion There are heterogeneity and interdependence in the level of dyadic psychological capital of stroke patients and their spouses.Healthcare professionals should promote dyadic mental health by developing targeted interventions for stroke patients and their spouses with different psychological capital characteristics from a dyadic holistic perspective.

Objective To explore the relationship between disease risk perception and objective risk in stroke risk population,and to provide theoretical basis for prevention and control of stroke.Methods From February to May 2023,560 residents who participated in medical examinations in 2 community health service centers of Zhengzhou and Luohe were selected as respondents.The objective risk of stroke was assessed,and the general data questionnaire and Risk Perception Questionnaire for People at High Risk of Stroke were used for investigation.Logistic regression model and restricted cubic spline model were used to analyze the correlation and the dose-response relationship between disease risk perception and objective stroke risk.Results A total of 542 effective questionnaires were collected.The detection rate of stroke high-risk groups was 48.71％.Logistic regression analysis showed that after adjusting confounding factors,the objective risk of stroke in the general population and in different gender stratification decreased first and then increased with the increase of the level of disease risk perception.The results of the restricted cubic spline showed that the disease risk perception and objective risk of stroke in the total population and gender stratification showed a nonlinear dose-response relationship(P nonlinear＜0.05),and the curve showed a"U"type change.The disease risk perception score of 90.0～110.0 was the protective factor of objective risk of stroke.Conclusion The objective risk of stroke decreases first and then increases with the increase of the perceived risk.Medical staff should maintain individual disease risk perception within the appropriate level,and pay attention to the difference in disease risk perception of different gender groups to implement targeted risk communication strategies,so as to promote the development of healthy behaviors and reduce the incidence of stroke.

Objective To review the application scope of risk communication based on eHealth technology in the primary prevention of cardiovascular diseases,so as to provide references for future research and application.Methods A systematic search was conducted in PubMed,Cochrane Library,Embase,Web of Science,CINAHL,PsycINFO,CNKI,Wanfang database,and SinoMed.The search time limit was from the establishment of databases to March 1,2024.The included literature was summarized and analyzed.Results A total of 24 articles were included.The forms of eHealth technology applied in risk communication for primary prevention of cardiovascular include online websites,computerized decision support systems,electronic health records,mobile applications,email,telephone,and text messages.The functions include risk assessment,risk notification,personalized advice,risk tracking and reminders.The outcome indicators include risk perception,physiological indicators,lifestyle and behavior,psychological indicators,feasibility evaluation,decision correlation,doctor-patient communication,intention,risk score,and physician drug prescription.Conclusion The use of eHealth technology in risk communication of cardiovascular diseases has potential value in improving patients'risk perception and promoting healthy behaviors.It is necessary to continuously improve the functions of eHealth technology and enhance its precision and intelligence,so as to better meet the needs of medical staff and patients and promote the efficient implementation of primary prevention of cardiovascular diseases.

Objective To explore the potential categories of dyadic psychological capital and related factors among stroke patients and their spouses,in order to inform the improvement of their mental health.Methods Stroke patients and their spouses were recruited in the Neurology Department of 3 tertiary general hospitals from March,2023 to August,2023 by convenience sampling method.The general information questionnaire,Modified Rankin Scale(mRs),Psychological Capital Questionnaire,The Kessler Psychological Distress Scale(K10)and Perceived Social Support Scale(PSSS)were used for investigation.Latent profile analysis was adopted to explore the categories of dyadic psychological capital,and multiple Logistic regression analysis was used to assess the effect of various factors on different categories.Results A total of 232 returned questionnaires(out of the 235)were valid,resulting an effective response rate of 98.7％.Stroke patients and their spouses were divided into 3 categories,including dyadic low psychological capital-low self-efficacy group(6.0％),dyadic high psychological capital-low resilience group(15.9％)and dyadic medium psychological capital group(78.1％).The stroke patients'education level,mRs scores,occupational status after the illness,level of perceived social support,and spouses'working condition were the influencing factors on potential profiles of dyadic psychological capital(P＜0.05).Conclusion There are heterogeneity and interdependence in the level of dyadic psychological capital of stroke patients and their spouses.Healthcare professionals should promote dyadic mental health by developing targeted interventions for stroke patients and their spouses with different psychological capital characteristics from a dyadic holistic perspective.

Purpose: To understand the recurrence risk perception of stroke patients and develop a chain mediation model of recurrence risk perception and health behavior. Methods: A cross-sectional study and convenience sampling were used. Stroke survivors were recruited from the neurology departments of three tertiary hospitals. Their recurrence risk perception, behavioral decision-making, social support, self-efficacy, recurrence worry, and health behavior were measured by relevant tools. Data was analyzed through one-way analysis and regression analysis, and the AMOS 21.0 software was used to explore the mediating relationships between variables. Results: Of the 419 participants, 74.7% were aware of stroke recurrence risk. However, only 28.2% could accurately estimate their own recurrence risk. Recurrence risk perception was significantly correlated with behavioral decision-making, social support, self-efficacy, and health behavior (r = .19 ∼ .50, p < .05). Social support and recurrence risk perception could affect health behavior indirectly through self-efficacy, behavioral decision-making, and worry. Behavioral decision-making acted as a main mediator between recurrence risk perception and health behavior, while the path coefficient was .47 and .37, respectively. The chain mediation effect between recurrence risk perception and health behavior was established with a total effect value of .19 (p < .01). Conclusion Most stroke survivors could be aware of recurrence risk but failed to accurately estimate their individual risk. In the mediation model of recurrence risk perception and health behavior, social support seemed to be an important external factor, while self-efficacy, behavioral decision-making, and worry seemed to act as key internal factors.

Purpose: To understand the recurrence risk perception of stroke patients and develop a chain mediation model of recurrence risk perception and health behavior. Methods: A cross-sectional study and convenience sampling were used. Stroke survivors were recruited from the neurology departments of three tertiary hospitals. Their recurrence risk perception, behavioral decision-making, social support, self-efficacy, recurrence worry, and health behavior were measured by relevant tools. Data was analyzed through one-way analysis and regression analysis, and the AMOS 21.0 software was used to explore the mediating relationships between variables. Results: Of the 419 participants, 74.7% were aware of stroke recurrence risk. However, only 28.2% could accurately estimate their own recurrence risk. Recurrence risk perception was significantly correlated with behavioral decision-making, social support, self-efficacy, and health behavior (r = .19 ∼ .50, p < .05). Social support and recurrence risk perception could affect health behavior indirectly through self-efficacy, behavioral decision-making, and worry. Behavioral decision-making acted as a main mediator between recurrence risk perception and health behavior, while the path coefficient was .47 and .37, respectively. The chain mediation effect between recurrence risk perception and health behavior was established with a total effect value of .19 (p < .01). Conclusion Most stroke survivors could be aware of recurrence risk but failed to accurately estimate their individual risk. In the mediation model of recurrence risk perception and health behavior, social support seemed to be an important external factor, while self-efficacy, behavioral decision-making, and worry seemed to act as key internal factors.

Purpose: To understand the recurrence risk perception of stroke patients and develop a chain mediation model of recurrence risk perception and health behavior. Methods: A cross-sectional study and convenience sampling were used. Stroke survivors were recruited from the neurology departments of three tertiary hospitals. Their recurrence risk perception, behavioral decision-making, social support, self-efficacy, recurrence worry, and health behavior were measured by relevant tools. Data was analyzed through one-way analysis and regression analysis, and the AMOS 21.0 software was used to explore the mediating relationships between variables. Results: Of the 419 participants, 74.7% were aware of stroke recurrence risk. However, only 28.2% could accurately estimate their own recurrence risk. Recurrence risk perception was significantly correlated with behavioral decision-making, social support, self-efficacy, and health behavior (r = .19 ∼ .50, p < .05). Social support and recurrence risk perception could affect health behavior indirectly through self-efficacy, behavioral decision-making, and worry. Behavioral decision-making acted as a main mediator between recurrence risk perception and health behavior, while the path coefficient was .47 and .37, respectively. The chain mediation effect between recurrence risk perception and health behavior was established with a total effect value of .19 (p < .01). Conclusion Most stroke survivors could be aware of recurrence risk but failed to accurately estimate their individual risk. In the mediation model of recurrence risk perception and health behavior, social support seemed to be an important external factor, while self-efficacy, behavioral decision-making, and worry seemed to act as key internal factors.