With the changing pattern of disease burden in China and the deepening and acceleration of aging society, healthy aging has become a national strategy. As one of the important roles of the care system, under the opportunity of the action framework for healthy aging, nursing discipline in China has made active exploration in key areas and has achieved research and practice results with Chinese characteristics, including ageism, intrinsic capacity, community development and long-term care system construction. Nursing has demonstrated disciplinary reserves and value in the development of the elderly care industry and the construction of the elderly care service system.

Objective To investigate the independent influences on the occurrence of ICU Acquired Weakness(ICU-AW)in elderly patients undergoing third-and fourth-level surgeries,to construct a prediction model and draw a column-line diagram,and to internally validate the model.Methods A convenience sampling method was used to select 186 elderly patients undergoing tertiary and quaternary surgeries who were hospitalized in 3 tertiary A hospitals in Beijing from May to December 2022 as the study subjects.Single-factor and multifactor logistic regression were used to analyze the risk factors for ICU-AW in elderly patients undergoing third-and fourth-degree surgeries.A risk prediction model was established and the model was visualized by drawing a column-line diagram,and the receiver operator characteristic curve(ROC)and the Hosmer-Lemeshow tests were applied to verify the predictive effect of the model.Results ICU-AW occurred in 40 of 186 cases in the modeling group,with an incidence rate of 21.5％.The results of univariate analysis showed that the 2 groups of preoperative physiology score and surgical severity score included in the physiology and surgical severity scoring system,age,presence of cardiac disease,hemoglobin(within 24 h of admission to the ICU),blood urea nitrogen(within 24 h of admission to the ICU),blood creatinine(within 24 h of admission to the ICU),presence of braking,mode of establishment of mechanical ventilation,presence of nutritional therapy,number of sedative or analgesic drugs used,whether vasoactive drugs were used,whether diuretics were used,and the level of hemoglobin,blood urea nitrogen and blood creatinine within 24 h after admission to ICU the difference is statistically significant(P＜0.05).The results of multifactorial logistic regression analysis showed that preoperative physiology scores included in the physiology and surgical severity scoring system,the presence of cardiac disease,the presence of braking,the presence of nutritional therapy,and the number of sedative or analgesic medications used were the predictors of the occurrence of ICU-AW in elderly patients undergoing third-and fourth-degree surgeries(OR were 1.364,2.344,5.568,5.823,1.109,all P＜0.05).The above 5 factors were plotted as independent variables in a column-line graph,and the area under the ROC curve of the model was 0.859(95％CI 0.793～0.924),with an optimal critical value of 0.156,a sensitivity of 0.875,a specificity of 0.705,and a Hosmer-Lemeshow goodness-of-fit test of x2=3.906,P=0.865,Brier score of 0.109,and a decision analysis curve indicating that patients could benefit.Conclusion The predictive effect of the constructed model is good,and it can be used as a reference for early and rapid identification of the risk of ICU-AW in elderly patients undergoing third-and fourth-degree surgeries by clinical staff,and timely provision of preventive intervention programs.

Objective:To carry out high-risk foot examination and grading combined with two examination methods for inpatients with type 2 diabetes, and explore the influencing factors of the occurrence and development of high-risk foot, and investigate their foot care behavior status.Methods:From July 2021 to January 2022, 409 patients with diabetes who were admitted to the Department of Endocrinology, Department of Geriatrics, Department of Cardiology, Urology Surgery and Department of Ophthalmology of Xuanwu Hospital of Capital Medical University were selected as research subjects by convenience sampling. The General Information Questionnaire, Standardized Process of At-risk Foot Screening and Stratification for Diabetic Patients, InIow's Screening for the High-Risk Diabetic Foot: A 60-Second Tool, and Foot Care Behavior Questionnaire for Diabetic Patients. Single factor analysis and Logistic regression analysis were used to explore the factors influencing the occurrence and development of high-risk foot in type 2 diabetes patients. A total of 409 questionnaires were distributed, and 392 valid questionnaires were collected, with an effective response rate of 95.8% (392/409) .Results:Among 392 patients, the detection rate of high-risk diabetic foot (HRDF) was 76.3% (299/392), and the proportion of high-risk foot grade 2 was the largest (193). Age ( OR=1.042, P<0.01) and years of hypertension ( OR=1.030, P<0.05) were independent influencing factors for the occurrence of HRDF, with statistically significant differences. Taking the high risk foot grade 3 as a reference, cerebrovascular disease [ OR=16.408, 95% CI (1.323, 203.417) ], diabetes course [ OR=1.066, 95% CI (1.008, 1.128) ], education level in middle school [ OR=0.180, 95% CI (0.056, 0.581) ], education level in primary school and below [ OR=0.126, 95% CI (0.019, 0.841) ] were independent influencing factors for the progress of high risk foot. The foot care behavior of high-risk foot patients with high risk levels was not superior to that of patients with low risk levels. Conclusions:The combination of the two screening methods can meet the examination needs of clinical and nursing medical staff for inpatients with type 2 diabetes. Emphasizing the influencing factors of HRDF occurrence and development can provide reference for early identification of high-risk foot.

Objective:To explore the correlation between frailty and foot care behavior in elderly patients with high-risk diabetic foot.Methods:From January to June 2022, 220 patients with high-risk diabetic foot who were admitted to the Department of Endocrinology and Department of Geriatrics of Xuanwu Hospital of Capital Medical University were selected by convenience sampling as the research object. The patients were investigated with the General Information Questionnaire, Gavin's Weighted Scale for Diabetic Foot Risk Factors for Progression to Ulceration, the Chinese version of the Frail Scale and the Foot Care Behavior Questionnaire for Diabetic Patients. Spearman correlation analysis was used to explore the correlation between frailty and foot care behavior in elderly patients with high-risk diabetic foot. Multiple linear regression was used to analyze the influencing factors of foot care behavior in elderly patients with high-risk diabetic foot. A total of 220 questionnaires were distributed, and 210 valid questionnaires were collected, with an effective response rate of 95.45% (210/220) .Results:The standardized score of the Foot Care Behavior Questionnaire for Diabetic Patients among 210 elderly patients with high-risk diabetic foot was (56.65±11.27), which was in the middle to low level. Among them, 126 patients (60.00%) were at a low level, and 80 patients (38.10%) were at a middle level. The incidence of frailty in 210 elderly patients with high-risk diabetic foot was 27.14% (57/210). The results of correlation analysis showed that the frailty score of elderly patients with high-risk diabetic foot were negatively correlated with the scores of the foot and footwear examination, foot cleaning and maintenance, footwear selection, and the total score of Foot Care Behavior Questionnaire for Diabetic Patients ( P<0.05). The results of multiple linear regression analysis showed that gender, frailty, foot risk classification and living conditions were the influencing factors of foot care behavior in elderly patients with high-risk diabetic foot ( P<0.05) . Conclusions:The foot care behavior of elderly patients with high-risk diabetic foot needs to be improved. The higher the degree of frailty, the lower the level of foot care behavior. Medical and nursing staff should formulate targeted intervention measures according to the characteristics of patients to improve or delay the progression of patients' frailty, thereby improving their foot care behavior and preventing the occurrence of diabetic foot.

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.

This article briefly introduces the roles and characteristics of nurse practitioners abroad and reviews their role and influence in primary health care and puts forward some thoughts on the training of nurse practitioners in China, in order to provide a reference for the training of nurse practitioners in China.

Multiple system atrophy can have various forms of sleep disorders, including insomnia, rapid eye movement sleep behavior disorder, sleep-disordered breathing, periodic leg movements during sleep and excessive daytime sleepiness. This article will focus on the concept, classification, pathogenesis, clinical features, diagnosis and treatment, aiming to deepen clinicians′ understanding of the disease, which will be helpful for early diagnosis and treatment.

Objective:To evaluate the prognostic significance of clonal gene mutations using next-generation sequencing in patients with core-binding factor acute myeloid leukemia (CBF-AML) who achieved first complete remission after induction chemotherapy.Methods:The study, which was conducted from July 2011 to August 2017 in First Affiliated Hospital of Soochow University, comprised 195 newly diagnosed patients with CBF-AML, including 190 patients who achieved first complete remission after induction chemotherapy. The cohort included 134 patients with RUNX1-RUNXIT1 + AML and 56 patients with CBFβ-MYH11 + AML. The cohort age ranged from 15 to 64 years, with a median follow-up of 43.6 months. Overall survival (OS) and disease-free survival (DFS) were assessed by the log-rank test, and the Cox proportional hazards regression model was used to determine the effects of clinical factors and genetic mutations on prognosis. Results:The most common genetic mutations were in KIT (47.6% ) , followed by NRAS (20.0% ) , FLT3 (18.4% ) , ASXL2 (14.3% ) , KRAS (10.7% ) , and ASXL1 (9.7% ) . The most common mutations involved genes affecting tyrosine kinase signaling (76.4% ) , followed by chromatin modifiers (29.7% ) . Among the patients receiving intensive consolidation therapy, the OS tended to be better in patients with CBFβ-MYH11 + AML than in those with RUNX1-RUNXIT1 + AML ( P=0.062) . Gene mutations related to chromatin modification, which were detected only in patients with RUNX1-RUNXIT1 + AML, did not affect DFS ( P=0.557) . The patients with mutations in genes regulating chromatin conformation who received allo-hematopoietic stem cell transplantation (allo-HSCT) achieved the best prognosis. Multivariate analysis identified KIT exon 17 mutations as an independent predictor of inferior DFS in patients with RUNX1-RUNXIT1 + AML ( P<0.001) , and allo-HSCT significantly prolonged DFS in these patients ( P=0.010) . Conclusions:KIT exon 17 mutations might indicate poor prognosis in patients with RUNX1-RUNXIT1 + AML. Allo-HSCT may improve prognosis in these patients, whereas allo-HSCT might also improve prognosis in patients with mutations in genes related to chromatin modifications.

According to the occurrence of nursing quality problems, this study divides the domestic and foreign nursing quality management models into prospective nursing quality management model and feedback nursing quality management model, and introduces the basic content, characteristics and application status of these two types of nursing quality management models. This study aims at providing a reference for nursing managers to correctly distinguish nursing quality management model and reasonably choose nursing management model for nursing quality management.

This article analyzes the overview of ward classification management, and its research status, impact on nursing management, the existing problems and related solutions. The goal of this article is to provide a sound scientific basis for nursing management in the future, and lay the foundation for the hospital to implement post classification management, optimize the allocation of human resources, establish performance appraisal mechanism and improve the quality of nursing.