“Bio-narrative integration” refers to the process in which a life subject with narrative consciousness actively reviews and reintegrates their life stories， or a subject lacking life and health narrative awareness， with the intervention of healthcare professionals， tells their own life stories and integrates them into a coherent and constantly evolving life narrative process. Starting from the keyword of bio-narrative integration， this paper proposed a classification model of narrative integration. From the perspective of life stages， it was divided into “phasic narrative integration” and “holistic narrative integration.” In terms of integrated narrative style， it was categorized as “positive narrative integration style” and “negative narrative integration style.” Regarding subjective initiative， it was classified as “active narrative integration regulation” and “passive narrative integration regulation.” Then it elaborated the significant value of narrative integration for every life subject， especially in pain relief， the improvement of life resilience， the healthy aging of the elderly， and the ultimate peace of the dying. It was advocated that healthcare practitioners should enhance their professional narrative competence， effectively guide patients to engage in bio-narrative integration regulation， and help them overcome narrative closure， thereby improving the quality of medical care.

BACKGROUND:Low temperatures have detrimental effects on the human cardiovascular system,with a higher prevalence of hypertension and related cardiovascular diseases,especially among people living in cold climates.Transient receptor potential M8(TRPM8)is often recognized as a physiological sensor of environmental cold,and glutamate receptor-3(GLR-3)/glutamate receptor ionotropic,kainate 2(GluK2)is also cold-sensitive.However,the specific molecular mechanisms of cold-associated TRPM8 and GLR-3/GluK2 in regulating hypertension remain puzzling.OBJECTIVE:Through a review of the literature in this field,to find out the general pattern of TRPM8 and GLR-3/GluK2 in regulating the body's cold response,as well as the specific mechanism of action in hypertension,thereby providing a theoretical basis for subsequent research on the treatment of hypertension based on cold-stimulation-related targets,and further expanding the new ideas and methods for the treatment of hypertension.METHODS:We searched,reviewed and screened the relevant literature on"cold stimulation,TRPM8,GLR-3/GluK2 and hypertension"to lay the theoretical foundation for the analysis of the whole article.Comparative analysis method,through reading and analyzing the obtained literature,comparing the similarities and differences between the literature,was performed to provide reasonable theoretical support for the argument.Through further comparative analysis of the literature,the relationship between the relevant indicators was clarified,and the ideas were clarified for the analysis of the full text.RESULTS AND CONCLUSION:(1)TRPM8 can be activated by cold and mainly mediates cool temperature perception in mammals.Its activation can trigger neurogenic inflammatory response and indirectly affect the inflammatory process.Abnormal TRPM8 signal can lead to excessive activation of immune cells,which is significantly associated with the occurrence and development of hypertension.(2)The activation threshold of GLR-3/GluK2 is lower than that of TRPM8,which may preferentially respond to noxious cold stimulation rather than ordinary cool temperature.In cold environment,GLR-3/GluK2 activation enhances sympathetic nerve excitability by regulating interneuron signal transduction and causes peripheral vascular constriction.Long-term effects can lead to increased peripheral vascular resistance.To conclude,TRPM8 and GLR-3/GluK2 are involved in the interaction of the nerve-immune-vascular system by sensing different cold stimuli.Abnormal TRPM8 signaling indirectly promotes the progression of hypertension through inflammation and immune dysregulation,while GLR-3/GluK2 directly exacerbates vascular constriction and resistance by enhancing sympathetic nerve activity.The combination of the two factors may constitute the key molecular mechanism of the occurrence and development of hypertension in cold environment,and provide a potential target for the intervention of cold-related cardiovascular diseases.

BACKGROUND:Low temperatures have detrimental effects on the human cardiovascular system,with a higher prevalence of hypertension and related cardiovascular diseases,especially among people living in cold climates.Transient receptor potential M8(TRPM8)is often recognized as a physiological sensor of environmental cold,and glutamate receptor-3(GLR-3)/glutamate receptor ionotropic,kainate 2(GluK2)is also cold-sensitive.However,the specific molecular mechanisms of cold-associated TRPM8 and GLR-3/GluK2 in regulating hypertension remain puzzling.OBJECTIVE:Through a review of the literature in this field,to find out the general pattern of TRPM8 and GLR-3/GluK2 in regulating the body's cold response,as well as the specific mechanism of action in hypertension,thereby providing a theoretical basis for subsequent research on the treatment of hypertension based on cold-stimulation-related targets,and further expanding the new ideas and methods for the treatment of hypertension.METHODS:We searched,reviewed and screened the relevant literature on"cold stimulation,TRPM8,GLR-3/GluK2 and hypertension"to lay the theoretical foundation for the analysis of the whole article.Comparative analysis method,through reading and analyzing the obtained literature,comparing the similarities and differences between the literature,was performed to provide reasonable theoretical support for the argument.Through further comparative analysis of the literature,the relationship between the relevant indicators was clarified,and the ideas were clarified for the analysis of the full text.RESULTS AND CONCLUSION:(1)TRPM8 can be activated by cold and mainly mediates cool temperature perception in mammals.Its activation can trigger neurogenic inflammatory response and indirectly affect the inflammatory process.Abnormal TRPM8 signal can lead to excessive activation of immune cells,which is significantly associated with the occurrence and development of hypertension.(2)The activation threshold of GLR-3/GluK2 is lower than that of TRPM8,which may preferentially respond to noxious cold stimulation rather than ordinary cool temperature.In cold environment,GLR-3/GluK2 activation enhances sympathetic nerve excitability by regulating interneuron signal transduction and causes peripheral vascular constriction.Long-term effects can lead to increased peripheral vascular resistance.To conclude,TRPM8 and GLR-3/GluK2 are involved in the interaction of the nerve-immune-vascular system by sensing different cold stimuli.Abnormal TRPM8 signaling indirectly promotes the progression of hypertension through inflammation and immune dysregulation,while GLR-3/GluK2 directly exacerbates vascular constriction and resistance by enhancing sympathetic nerve activity.The combination of the two factors may constitute the key molecular mechanism of the occurrence and development of hypertension in cold environment,and provide a potential target for the intervention of cold-related cardiovascular diseases.

Glaucoma is a group of optic nerve disorders characterized by progressive optic nerve atrophy and visual field defects, which can lead to irreversible blindness. Early diagnosis of glaucoma is essential for preventing visual loss. However, due to the absence of obvious early symptoms, the diagnosis of glaucoma remains challenging. Visual electrophysiological examinations, an objective approach for evaluating visual function, have the potential to be used in the early diagnosis of glaucoma. This review integrates the latest publications to introduce visual electrophysiological examination techniques, including electroretinography(ERG)and visual evoked potential(VEP). It also explores the mechanisms underlying these techniques and their application value in the early diagnosis of glaucoma. In addition, this review summarizes the advantages, limitations, and applicable scenarios of different visual electrophysiological techniques. Finally, the review provides an outlook on the development prospects of visual electrophysiological techniques in the early diagnosis of glaucoma. The findings of this review can assist clinicians in selecting appropriate diagnostic methods, promote the innovation and development of early visual electrophysiological diagnostic techniques for glaucoma, and contribute to reducing the risk of blindness caused by glaucoma.

Objective To analyze the latent profiles of active aging among community older adults and its influencing factors,and explore relationship of different categories and nursing care needs.Methods Multistage stratified random sampling was used to select 341 community older people in Qingdao from June 2023 to August 2023 as the survey population.The study instruments included the General Information Questionnaire,the Active Ageing Scale,the Care Needs of the Elderly Scale.Latent profile analysis was used to explore the latent profiles of active aging on the community older adults.The influencing factors of latent profiles were identified by multivariate Logistic regression.Results The active aging of the community older people was identified as a model with 3 latent categories,defined as low active aging type(38.l％),medium active aging-high spiritual intelligence type type(51.6％),and high active aging-comprehensive type(10.3％).The influencing factors include age,education,monthly income level,nursing needs(all P＜0.05).Community older adults with low self-development and contribution needs are more likely to be low active aging type.Community older adults with high needs for life care and living environment(OR=3.268,P=0.0l 1),physical and psychological support(OR=1.972,P=0.025),and interpersonal communication and health knowledge(OR=3.433,P＜0.001)were more likely to be medium active aging-high spiritual intelligence type.Those with low protection and security needs(OR=0.446,P=0.012)were more likely to be medium active aging-high spiritual intelligence type type.Community older adults with low health monitoring needs(OR=0.297,P=0.029)and high specialty care needs(OR=3.019,P=0.033)were more likely to be high active aging-comprehensive type.Conclusion The level of active aging of older adults in the community is medium,which is characterized by 3 categories.Community nursing staffs should focus on the elderly with low active aging type and medium active aging-high spiritual intelligence type,and targeted intervention should be adopted according to different category characteristics,so as to accurately meet their nursing needs,finally improve the level of active aging of community older adults.

Objective:To explore the application of virtual augmented reality (AR) technology combined with transcranial Doppler ultrasound (TCD) in nursing teaching of cerebrovascular diseases.Methods:Eighty-six nursing students who interned in the Department of Neurology of The First Affiliated Hospital of Army Medical University from January 2021 to November 2022 were assigned into control group (students of grade 2021) and research group (students of grade 2022). The control group received traditional teaching with AR technology about the anatomy of the cerebral arterial circle, its composition, and adjacent structures. The research group was given AR-assisted teaching combined with TCD-based demonstration and interpretation. At the end of internship, the assessment scores, satisfaction with teaching, clinical decision-making ability, self-learning ability, and problem-solving ability were compared between the two groups. SPSS 23.0 was used to perform the non-parametric test, t test, and chi-square test. Results:The theoretical, practical, and comprehensive ability assessment scores of the research group [90 (89, 96), 95 (90, 96), and 93 (90, 96), respectively] were significantly higher than those of the control group [89 (87, 91), 90 (89, 92), and 91 (89, 94), respectively]. In terms of satisfaction with teaching effects, teaching methods, teaching content, and teaching style, the scores of the research group [16 (15, 18), (5.98±0.91), (3.38±0.52), and 13 (11, 14), respectively] were significantly higher than those of the control group [14 (13, 16), (4.23±0.65), (2.37±0.36), and 13 (10, 14 ), respectively]. The research group showed significantly better independent learning abilities than the control group in information seeking [(4.66±0.71) vs. (4.00±0.61)] and solution seeking [(4.43±0.68) vs. (4.41±0.67)], with no significant differences in the other dimensions between the two groups. The research group was significantly superior to the control group in all problem-solving dimensions: positive orientation [12 (10, 12) vs. 10 (9, 11)], rationality [26 (23, 28) vs. 21 (21, 24)], negative orientation [15 (13, 20) vs. 20 (17, 20)], avoidance style [17 (15, 18) vs. 19 (17, 20)], and impulsivity/neglect style [16 (15, 18) vs. 18 (16, 20)]. For rounds assessment, the research group showed significantly higher scores than the control group in all the items except " communication with patients" [(9.21±0.39) vs. (9.04±0.53)] and "patient satisfaction with nursing students" [(8.92±0.53) vs. (8.73±0.56)].Conclusions:The teaching method based on AR combined with TCD can improve nursing students' knowledge of cerebrovascular diseases, clinical nursing ability, and satisfaction with teaching.

Objective:To study the distribution characteristics of natural killer(NK)cells and their subsets in normal peripheral blood in China,and to explore their normal value and significance.Methods:In this study,peripheral blood was collected from 200 healthy adults.Their age range was 18-87 years.All the subjects were divided into 6 age groups:18-30,31-40,41-50,51-60,61-70,and 71-87 years.With CD16,CD56,CD4,CD19,as surface markers,fluid cytology detection tech-niques were used to detect NK cells and the relative and absolute counts.SPSS 27.0 was used for system-atic analysis of the data,and the measurement data were expressed as mean±standard deviations.A t test,variance analysis or rank sum test were performed to compare the differences between the age groups and the sex groups.The significance level was set at α=0.05,and P＜0.05 was considered statistically significant.Results:The range of NK B cells in the 200 healthy adult subjects was(0.46±0.24)× 106/L,that of CD3-CD56+NK cells was(13.14±7.56)× 106/L,that of CD56dimCD16+NK cells was(5.23±3.12)×106/L,that of CD56bright NK cells was(85.61±7.40)× 106/L,and that of NK T cells was(4.16±3.34)×106/L.There were no statistically significant differences in CD3-CD56+NK cells and NK T cells with respect to age(P=0.417,P=0.217).However,there was a decreasing trend in the number of NK B cells and CD56dimCD16+NK cells with increasing age(r=0.234,P＜0.001;r=0.099,P＜0.001),particularly after the age of 50.Conversely,CD56bright NK cells showed an increasing trend with age(r=0.143,P＜0.001).Conclusion:The detection of NK cells and their subsets has significant reference value for the diagnosis,treatment,and prognosis of autoimmune diseases,infectious diseases,and tumors.This study provides a preliminary reference range for clinical detection of NK cell subsets,but further research with a larger sample size and multi-center trials are needed to confirm these findings.

Objectives:To develop a novel prediction model for mitral valve repair failure based on machine learning algorithms.Methods:Clinical and echocardiographic data were analyzed on patients,who underwent mitral valve repair in Fuwai Hospital from 2009 January 1st to 2022 December 31st.End points included immediate mitral valve repair failure (mitral replacement secondary to mitral repair failure) and recurrence regurgitation (moderate or severe mitral regurgitation before discharge).Risk factors of mitral valve repair failure were analyzed by XGBoost and shapley additive explanation (SHAP),and a machine learning model was established based on mixture of experts (MoE) as a risk prediction model and compared with conventional mitral valve repair complexity scores.Results:A total of 2314 patients were included in this study.Mitral repair was unsuccessful in 4.2％ (98 of 2314) of patients.Patient factors such as tricuspid regurgitation pressure gradient,A3 and A3P3 lesions,left ventricular end-systolic volume,and left atrium anterior and posterior diameter are associated with mitral valve repair failure;in addition,surgeon factors,such as cumulative repair failure rate,cumulative repair volume,and surgeon seniority,are also risk factors for mitral valve repair failure.The MoE model has an AUC value of 0.79,and the prediction performance is significantly better than traditional complexity scores.Conclusions:The MoE based machine learning model can predict the risk of mitral valve repair failure well.This evaluation system can effectively assist surgeons in assessing the risk of mitral valve repair failure and in selecting suitable treatment options for patients.

Objectives:To develop a novel prediction model for mitral valve repair failure based on machine learning algorithms.Methods:Clinical and echocardiographic data were analyzed on patients,who underwent mitral valve repair in Fuwai Hospital from 2009 January 1st to 2022 December 31st.End points included immediate mitral valve repair failure (mitral replacement secondary to mitral repair failure) and recurrence regurgitation (moderate or severe mitral regurgitation before discharge).Risk factors of mitral valve repair failure were analyzed by XGBoost and shapley additive explanation (SHAP),and a machine learning model was established based on mixture of experts (MoE) as a risk prediction model and compared with conventional mitral valve repair complexity scores.Results:A total of 2314 patients were included in this study.Mitral repair was unsuccessful in 4.2％ (98 of 2314) of patients.Patient factors such as tricuspid regurgitation pressure gradient,A3 and A3P3 lesions,left ventricular end-systolic volume,and left atrium anterior and posterior diameter are associated with mitral valve repair failure;in addition,surgeon factors,such as cumulative repair failure rate,cumulative repair volume,and surgeon seniority,are also risk factors for mitral valve repair failure.The MoE model has an AUC value of 0.79,and the prediction performance is significantly better than traditional complexity scores.Conclusions:The MoE based machine learning model can predict the risk of mitral valve repair failure well.This evaluation system can effectively assist surgeons in assessing the risk of mitral valve repair failure and in selecting suitable treatment options for patients.

Objective:To observe any dependence of anticipatory postural adjustment (APA) on the difficulty of fine upper limb tasks and to document any effect of reticulospinal tract (RST) facilitation on APAs during such tasks.Methods:The study′s bivariate mixed design involved 4 different tasks and 3 different priming states. Thirteen healthy, male, right-handed subjects were recruited. They were asked to complete the 4 tasks of reaching, grasping a cup, pinching a card using the thumb or using the little finger, respectively for 10 times 1 in response to two different starting cues delivered through an earphone. Half of the trials with each task were initiated with 114dB white noise to startle and activate the reticulospinal tract (RST), while the others were activated with 80dB beeps as a control. Electromyographic signals were recorded from the bilateral sternocleidomastoid (SCM), lower trapezius (LT), latissimus dorsi (LD), lumbar erector spinae and right anterior deltoid muscles and also from the right flexor and extensor carpi radialis muscles (ECR/FCR). In the subsequent processing the electromyographic time domain and frequency domain indicators were converted into a pre-motor reaction time, a time to muscle peak contraction, an activation latency, and APA or compensatory postural adjustment (CPA) amplitude of the tested muscles. These were compared among the different tasks and stimuli. In addition, the 114dB test tasks were classified as two different priming status as SCM + and SCM - according to whether the sternocleidomastoid muscle (SCM) was activated in advance. Results:After RST activation the pre-motor reaction time and the time to peak contraction of all of the muscles were significantly shortened in all of the tasks. The deltoid muscle reaction times in the SCM + , SCM - and control states were (106.89±43.78)ms, (136.78±48.74)ms and (168.60±73.17)ms, respectively, and those differences are significant. The APA amplitudes of the contralateral LT and ipsilateral LD were significantly greater than normal, but the timing of muscle activation onset and the APA/CPA amplitudes of the ECR/FCR were not affected. The latency in the anticipatory muscle activation of the ECR in the little finger grip task was significantly shorter than that in reaching. Conclusions:The extensor carpi radialis show task-specific early activation in fine tasks of the upper limbs with different difficulties. RST activation can lead to early starting of expected actions, accelerate muscle contraction and increase APA amplitude of some trunk muscles, but it has no significant effect on APA/CPA amplitudes in the forearm muscles.