Objective A Nomogram model of cognitive frailty was constructed and validated in hospitalized older adults,providing a reference for early screening,intervention and personalized management of cognitive frailty.Methods A convenience sampling approach was employed to recruit 322 elderly inpatients from a tertiary hospital in Beijing between October 2024 and February 2025 as study participants,and data were collected using the General Information Questionnaire,the Short Form-Mini-Nutritional Assessment,the Asens Insomnia Scale,the Activity of Daily Living Rating,the Self-Rating Anxiety Scale,the Geriatric Depression Scale-15,the Social Support Rating Scale,the Frailty Phenotype scale,the Subjective Cognitive Decline Questionnaire-9,the Mini-Mental State Examination,and the Clinical Dementia Rating.Lasso-Logistic regression was used to screen the variables,R software was used to draw the nomogram model;Bootstrap method was used for internal validation.Results Lasso-Logistic regression screened 8 predictors of age,depression,anxiety,support utilization,nutritional status,literacy,physical activity,and chronic pain,with an area under the subject operating characteristic curve of 0.830(95％CI:0.787-0.873),a sensitivity of 0.764,a specificity of 0.730,an accuracy of 0.748,and a calibrated curve,Brier score,and Hosmer-Lemeshow test(P=0.774)all showed that the model fit was good.Conclusion The Lasso-Logistic regression-based nomogram model of cognitive frailty in hospitalized older adults has good predictive performance and clinical utility,and can be used as a reference for early identification and intervention of cognitive decline in hospitalized older adults.

Objective:To explore the current status and influencing factors of intrinsic capacity in elderly patients with Parkinson's disease.Methods:Convenience sampling was used to select 306 elderly patients with Parkinson's disease who attended Xuanwu Hospital of Capital Medical University from March to September 2024 for the study. Influencing factors were screened based on the health ecology model. Elderly patients with Parkinson's disease were surveyed using the General Information Questionnaire, Connor-Davidson Resilience Scale, Family APGAR Scale, Social Support Rating Scale, and Intrinsic Capacity Assessment Tool. Multiple linear regression was used to analyze the factors influencing the total score and the scores of each dimension of intrinsic capacity in elderly patients with Parkinson's disease.Results:A total of 306 questionnaires were distributed and 301 valid questionnaires were recovered, with a valid recovery rate of 98.37% (301/306). The total intrinsic capacity score of 301 elderly patients with Parkinson's disease was (67.21±11.47), of which 297 elderly patients with Parkinson's disease had impaired intrinsic capacity, and the rate of impaired intrinsic capacity was 98.7% (297/301). The dimensions in descending order of impairment were motor [89.7% (270/301) ], mental [76.1% (229/301) ], sensory [70.4% (212/301) ], vitality [38.2% (115/301) ], and cognitive [25.6% (77/301) ]. Multiple linear regression analysis showed that age, Hoehn-Yahr staging, levodopa equivalent dosage, activity of daily living, history of falls, regular exercise, psychological resilience, social support, and monthly income were the factors influencing the total intrinsic capacity score of elderly patients with Parkinson's disease ( P<0.05) and heterogeneity of influencing factors in each dimension. Conclusions:Elderly patients with Parkinson's disease have a high rate of impaired intrinsic capacity, with the motor dimension being the most severely impaired. Healthcare professionals should pay attention to the assessment of the intrinsic capacity of elderly patients with Parkinson's disease, and customize interventions according to the influencing factors to promote the functioning of elderly patients so as to reduce the burden of care on families and society.

Objective:To explore the current status and influencing factors of intrinsic capacity in elderly patients with Parkinson's disease.Methods:Convenience sampling was used to select 306 elderly patients with Parkinson's disease who attended Xuanwu Hospital of Capital Medical University from March to September 2024 for the study. Influencing factors were screened based on the health ecology model. Elderly patients with Parkinson's disease were surveyed using the General Information Questionnaire, Connor-Davidson Resilience Scale, Family APGAR Scale, Social Support Rating Scale, and Intrinsic Capacity Assessment Tool. Multiple linear regression was used to analyze the factors influencing the total score and the scores of each dimension of intrinsic capacity in elderly patients with Parkinson's disease.Results:A total of 306 questionnaires were distributed and 301 valid questionnaires were recovered, with a valid recovery rate of 98.37% (301/306). The total intrinsic capacity score of 301 elderly patients with Parkinson's disease was (67.21±11.47), of which 297 elderly patients with Parkinson's disease had impaired intrinsic capacity, and the rate of impaired intrinsic capacity was 98.7% (297/301). The dimensions in descending order of impairment were motor [89.7% (270/301) ], mental [76.1% (229/301) ], sensory [70.4% (212/301) ], vitality [38.2% (115/301) ], and cognitive [25.6% (77/301) ]. Multiple linear regression analysis showed that age, Hoehn-Yahr staging, levodopa equivalent dosage, activity of daily living, history of falls, regular exercise, psychological resilience, social support, and monthly income were the factors influencing the total intrinsic capacity score of elderly patients with Parkinson's disease ( P<0.05) and heterogeneity of influencing factors in each dimension. Conclusions:Elderly patients with Parkinson's disease have a high rate of impaired intrinsic capacity, with the motor dimension being the most severely impaired. Healthcare professionals should pay attention to the assessment of the intrinsic capacity of elderly patients with Parkinson's disease, and customize interventions according to the influencing factors to promote the functioning of elderly patients so as to reduce the burden of care on families and society.

Objective A Nomogram model of cognitive frailty was constructed and validated in hospitalized older adults,providing a reference for early screening,intervention and personalized management of cognitive frailty.Methods A convenience sampling approach was employed to recruit 322 elderly inpatients from a tertiary hospital in Beijing between October 2024 and February 2025 as study participants,and data were collected using the General Information Questionnaire,the Short Form-Mini-Nutritional Assessment,the Asens Insomnia Scale,the Activity of Daily Living Rating,the Self-Rating Anxiety Scale,the Geriatric Depression Scale-15,the Social Support Rating Scale,the Frailty Phenotype scale,the Subjective Cognitive Decline Questionnaire-9,the Mini-Mental State Examination,and the Clinical Dementia Rating.Lasso-Logistic regression was used to screen the variables,R software was used to draw the nomogram model;Bootstrap method was used for internal validation.Results Lasso-Logistic regression screened 8 predictors of age,depression,anxiety,support utilization,nutritional status,literacy,physical activity,and chronic pain,with an area under the subject operating characteristic curve of 0.830(95％CI:0.787-0.873),a sensitivity of 0.764,a specificity of 0.730,an accuracy of 0.748,and a calibrated curve,Brier score,and Hosmer-Lemeshow test(P=0.774)all showed that the model fit was good.Conclusion The Lasso-Logistic regression-based nomogram model of cognitive frailty in hospitalized older adults has good predictive performance and clinical utility,and can be used as a reference for early identification and intervention of cognitive decline in hospitalized older adults.

Objective To retrieve,extract,evaluate,and integrate the relevant evidence of postoperative pulmonary rehabilitation management in patients with lung cancer complicated with chronic obstructive pulmonary disease,so as to provide an evidence-based basis for improving the quality of postoperative pulmonary rehabilitation.Methods Relevant literature on postoperative pulmonary rehabilitation of lung cancer complicated with chronic obstructive pulmonary disease were searched by computer from clinical decisions,guideline websites,professional association websites,and comprehensive databases.The types of the literature included clinical decisions,guidelines,expert consensuses,evidence summaries,systematic reviews,meta-analyses,and randomized controlled trials.The retrieval time limit was from the establishment of the database to September 2023.Results A total of 19 articles were included,including 4 clinical decisions,3 guidelines,6 expert consensuses,1 evidence summary,3 systematic reviews,and 2 randomized controlled trials.Through reading,extraction and classification,23 pieces of best evidence were finally formed,including multidisciplinary cooperation,evaluation,pulmonary rehabilitation strategies and health education.Conclusion This study summarizes the best evidence for postoperative lung rehabilitation management in patients with lung cancer and chronic obstructive pulmonary disease.Clinical medical staff can implement practical evidence for postoperative lung rehabilitation based on actual situations,and promote the transformation of evidence-based knowledge into practice.

Objective:To evaluate the incidence and case fatality rate of cardiovascular disease (CVD) among populations in urban and rural communities in eastern, central and western regions of China.Methods:The present study was based on the data of the Prospective Urban and Rural Epidemiology (PURE)-China cohort, which enrolled participants who had at least one follow-up visit and complete information on age and sex. Information on baseline demographics, cardiovascular risk factors, and prevention and treatment for CVD were collected. CVD and mortality events were documented using the standardized case report form of the PURE Global Study to assess the incidence and case fatality rate of CVD among populations in urban and rural communities in eastern, central and western China.Results:This study included a total of 47 262 community-dwelling participants (age: (51.1±9.6) years; female, n=27 529, 58.2%) from 115 urban and rural communities in 12 provinces across the eastern, central, and western regions of China. Over a follow-up period of 11.9 (9.5, 12.6) years, 2 686 deaths and 5 873 cardiovascular events were documented. The incidence of CVD was 11.90 (95%CI: 11.60-12.21)/1 000 person-years. A significant difference in CVD incidence was observed across regions ( Ptrend<0.001), which was highest in the western provinces (13.99 (95% CI: 13.33-14.65)/1 000 person-years), intermediate in the eastern provinces (11.92 (95% CI: 11.52-12.33)/1 000 person-years), and lowest in the central provinces (8.87 (95% CI: 8.25-9.50)/1 000 person-years). The 1-year case fatality rate of CVD demonstrated an increasing trend from eastern to western regions (eastern: 10.20% (95% CI: 6.95-14.73); central: 13.50% (95% CI: 9.90-18.14); western: 18.62% (95% CI: 14.95-22.94); Ptrend<0.001). Moreover, the incidence of major CVD was consistently higher in rural areas compared with urban areas across eastern ( P<0.001), central ( P=0.01) and western ( P<0.001)_regions, respectively. The 1-year case fatality rate in rural areas was also significantly higher compared with that in urban areas in both eastern ( P<0.001) and western regions ( P=0.02). Conclusions:The incidence and case fatality rate of CVD were high among middle-aged population in China, especially those in western regions with low socioeconomic levels and in rural areas.

Objective:To explore the current status of intrinsic capacity in elderly patients with hospitalization-associated disability (HAD) and explore its influencing factors.Methods:From November 2023 to January 2024, convenience sampling was used to select 203 elderly patients with HAD at Xuanwu Hospital of Capital Medical University as the study subjects. A survey was conducted on elderly patients using the General Information Questionnaire, Fried Frailty Phenotype, Barthel Index, Social Support Rating Scale, and Intrinsic Capacity Assessment Tool. Binomial Logistic regression was used to analyze the influencing factors of intrinsic capacity in elderly patients with HAD.Results:A total of 203 questionnaires were distributed, and 199 valid questionnaires were collected, with a valid response rate of 98.03% (199/203). The total score of intrinsic capacity in 199 elderly patients with HAD was 5.00 (4.00, 6.00), with scores for cognitive dimension, psychological dimension, motor dimension, vitality dimension, and sensory dimension being 1.00 (1.00, 2.00), 2.00 (1.00, 2.00), 0 (0, 1.00), 1.00 (1.00, 1.00) and 1.00 (1.00, 1.00), respectively. The binomial Logistic regression showed that department of medicine and surgery, self-rating health status, social support, serum albumin, and Barthel Index were the influencing factors of intrinsic capacity in elderly patients with HAD ( P<0.05) . Conclusions:The intrinsic capacity of elderly patients with HAD is at medium to low level, with the most severe impairment in the motor dimension. Medical and nursing staff should develop personalized rehabilitation measures for elderly HAD patients based on the influencing factors of their intrinsic capacity, enhance their intrinsic capacity, and reduce the burden of care on families and society.

Objective:To explore the current situation of ageism among older adults in megacity communities and analyze its influencing factors.Methods:From November to December 2023, convenience sampling was used to select 200 older adults who visited the Niujie Community Health Service Center in Xicheng District, Beijing as the research subject. A survey was conducted on older adults using the General Information Questionnaire, Barthel Index, 15-Item Geriatric Depression Scale, Family Adaptation, Partnership, Growth, Affection and Resolve Scale (Family APGAR Scale), Rosenberg Self-Esteem Scale, Social Support Rating Scale, Lubben Social Network Scale, and Ageism Questionnaire. Multiple linear regression was used to analyze the influencing factors of ageism among older adults in the community.Results:A total of 200 questionnaires were distributed and 200 valid questionnaires were collected, with a valid response rate of 100.00% (200/200). The total score of ageism among 200 older adults in the community was (3.55±0.31), with objective and subjective scores of (3.59±0.28) and (3.50±0.48), respectively. Multiple linear regression showed that occupational status, pre-retirement or current work, family care, self-esteem, and social support were the influencing factors of ageism among older adults in the community ( P<0.05) . Conclusions:Ageism among older adults is influenced by various factors. Medical and nursing staff should focus on older adults who are retired, mainly engaged in physical work, and have poor family and social support when formulating intervention strategies. Community health workers should regularly organize activities to encourage older adults to actively participate, enhance their sense of social participation, reduce ageism, so as to promote healthy aging.

Nerve regeneration in adult mammalian spinal cord is poor because of the lack of intrinsic regeneration of neurons and extrinsic factors - the glial scar is triggered by injury and inhibits or promotes regeneration. Recent technological advances in spatial transcriptomics (ST) provide a unique opportunity to decipher most genes systematically throughout scar formation, which remains poorly understood. Here, we first constructed the tissue-wide gene expression patterns of mouse spinal cords over the course of scar formation using ST after spinal cord injury from 32 samples. Locally, we profiled gene expression gradients from the leading edge to the core of the scar areas to further understand the scar microenvironment, such as neurotransmitter disorders, activation of the pro-inflammatory response, neurotoxic saturated lipids, angiogenesis, obstructed axon extension, and extracellular structure re-organization. In addition, we described 21 cell transcriptional states during scar formation and delineated the origins, functional diversity, and possible trajectories of subpopulations of fibroblasts, glia, and immune cells. Specifically, we found some regulators in special cell types, such as Thbs1 and Col1a2 in macrophages, CD36 and Postn in fibroblasts, Plxnb2 and Nxpe3 in microglia, Clu in astrocytes, and CD74 in oligodendrocytes. Furthermore, salvianolic acid B, a blood-brain barrier permeation and CD36 inhibitor, was administered after surgery and found to remedy fibrosis. Subsequently, we described the extent of the scar boundary and profiled the bidirectional ligand-receptor interactions at the neighboring cluster boundary, contributing to maintain scar architecture during gliosis and fibrosis, and found that GPR37L1_PSAP, and GPR37_PSAP were the most significant gene-pairs among microglia, fibroblasts, and astrocytes. Last, we quantified the fraction of scar-resident cells and proposed four possible phases of scar formation: macrophage infiltration, proliferation and differentiation of scar-resident cells, scar emergence, and scar stationary. Together, these profiles delineated the spatial heterogeneity of the scar, confirmed the previous concepts about scar architecture, provided some new clues for scar formation, and served as a valuable resource for the treatment of central nervous system injury.
Mice ; Animals ; Gliosis/pathology* ; Cicatrix/pathology* ; Spinal Cord Injuries ; Astrocytes/metabolism* ; Spinal Cord/pathology* ; Fibrosis ; Mammals ; Receptors, G-Protein-Coupled

Objective:To investigate risk factors for cognitive decline in elderly hospitalised hypertensive patients, develop a risk prediction model and validate it.Methods:By the convenient sampling method, a total of 379 elderly hypertensive patients admitted to Department of Cardiology, Department of Geriatrics (General) and Department of Endocrinology in Xuanwu Hospital of Capital Medical University from April to October 2022 were selected as the study objects. Binomial Logistic regression analysis was used to explore the risk factors of cognitive frailty in elderly hospitalized hypertensive patients and establish a prediction model. Receiver operating characteristic curve (ROC) and Hosmer-Lemeshow goodness of fit test were used to evaluate the prediction effect and calibration degree of the model, and Bootstrap method was used for internal verification.Results:Among 379 elderly hospitalized hypertensive patients, 145 (38.3%) had cognitive frailty. Binomial Logistic regression analysis showed that age, education level, drinking history, daily exercise, use of angiotensin receptor antagonists, Barthel index and nutritional status were the influential factors for cognitive frailty in elderly hospitalized hypertensive patients ( P< 0.05). The area under ROC curve of the prediction model was 0.770 (95% CI: 0.721-0.819, P< 0.001), the sensitivity was 0.607, the specificity was 0.838, and the maximum approximate entry index was 0.445. Hosmer Lemeshow goodness of fit test χ 2=3.581, P=0.893. Internal validation was conducted using the Bootstrap method to resample 1 000 times, and the results showed that the average area under the ROC curve of the prediction model was 0.737 (0.687-0.788) . Conclusions:The risk prediction model for cognitive decline in elderly hospitalized hypertensive patients can predict the risk of cognitive frailty in elderly hospitalized hypertensive patients, which can provide references for medical staff to develop corresponding intervention measures.