To analyze the causal relationships between mental disorders,insomnia,and irritable bowel syndrome(IBS) using a bidirectional two-sample Mendelian randomization(MR) approach.

The primary analysis was conducted using the random-effects inverse variance weighted(IVW) method on genome-wide association study summary data.Heterogeneity was assessed using Cochran's Q statistic.The horizontal pleiotropy was tested using the intercept from MR-Egger regression.

Forward MR analysis revealed that major depressive disorder,schizophrenia,and insomnia were positively associated with the increased risk of IBS(all P<0.05).Reverse MR analysis indicated that IBS was positively associated with the increased risk of major depressive disorder and insomnia (all P<0.05).Cochran's Q test in the forward MR analysis showed heterogeneity in the causal estimates for the genetic instruments of schizophrenia,insomnia,and bipolar disorder,while no heterogeneity was observed for other outcomes.MR-Egger regression indicated no significant horizontal pleiotropy for any of the results(P>0.05).

Major depressive disorder,schizophrenia, and insomnia have causal associations with IBS.

To predict the risk of postoperative delirium in patients undergoing total hip arthroplasty using machine learning models.

A total of 622 patients who underwent total hip arthroplasty in Ganzhou People's Hospital were selected as research subjects from January 2020 to December 2024.The Confusion Assessment Method(CAM) was used to assess postoperative delirium. The Boruta algorithm was employed to screen for important feature variables associated with postoperative delirium risk.Patients were randomly divided into training set(442 cases) and testing set(180 cases) at 7∶3 ratio.Nine machine learning models were constructed,trained,and validated using ten-fold cross-validation.The area under the curve(AUC) of receiver operator characteristic was used to evaluate model performance and identify the best machine learning model.Decision curve analysis was used to assess the clinical utility of the model.The SHapley additive explanations(SHAP) method,including bar plots,summary plots,dependence plots,and force plots,was used to interpret and visualize the machine learning models.

The incidence of postoperative delirium among the 622 patients undergoing total hip arthroplasty was 30.87%.The Boruta algorithm identified nine important postoperative delirium risk feature variables.Based on the feature importance scores(Z-values),the ranking from highest to lowest was C-reactive protein(CRP),anesthesia duration,albumin (ALB),age,total bilirubin(TB),blood glucose,intraoperative blood loss(IBL),history of diabetes,and cerebrovascular disease(CSD).Multivariate Logistic regression analysis showed that age,ALB,TB,blood glucose,CRP,and anesthesia duration were independent influencing factors for postoperative delirium in patients undergoing total hip arthroplasty(all P<0.05).The XGBoost model demonstrated excellent performance in both the training and test sets,exhibiting the strongest robustness and predictive efficacy for estimating the risk of postoperative delirium in patients undergoing total hip arthroplasty.Interpretation and visualization of the XGBoost model using SHAP revealed that the model could predict postoperative delirium risk in patients undergoing total hip arthroplasty with high accuracy.

Age,ALB,TB,blood glucose,CRP,anesthesia duration are independent influencing factors for postoperative delirium in patients undergoing total hip arthroplasty.The XGBoost model demonstrated high predictive value for postoperative delirium in patients undergoing total hip arthroplasty.

To construct a network model of symptom clusters and quality of life in postoperative breast cancer patients undergoing chemotherapy.To identify the core symptom clusters and the core domains of quality of life,and to determine the predictive relationships between them,thereby providing scientific guidance for improving patients' quality of life.

A total of 260 breast cancer patients receiving chemotherapy in the oncology department of a tertiary grade A hospital in Yinchuan city were selected as the survey subjects using convenience sampling from May to December 2024.A longitudinal survey was conducted to track their symptoms and quality of life before,during,and after chemotherapy.Data were analyzed using exploratory factor analysis,partial correlation networks,and cross-lagged panel networks.

Exploratory factor analysis and partial correlation network analysis revealed four stable symptom clusters in postoperative breast cancer patients undergoing chemotherapy,namely the sickness behavior symptom cluster,the psychosocial symptom cluster,the body image symptom cluster,and the gastrointestinal symptom cluster.The centrality of fatigue symptoms remained the top five across all three periods(r_s1=3.02,r_s2=4.21,r_s3=4.10).Cross-lagged panel network analysis further indicated that the body image symptom cluster was the core symptom cluster in postoperative breast cancer patients undergoing chemotherapy,and physical well-being was the core domain of quality of life.The body image symptom cluster at the previous time point positively predicted physical well-being at the subsequent time point across the three periods(β=1.24 and β=1.49,respectively).

The core symptom cluster in postoperative breast cancer patients undergoing chemotherapy is the body image symptom cluster.Physical well-being is the core domain of quality of life.The body image symptom cluster positively predicts improvements in quality of life.Healthcare professionals should develop interventions based on core symptom clusters during treatment to reduce the transmission effect of the body image symptom cluster within the symptom network,indirectly promote the improvement of physical well-being,and thereby enhance quality of life.

To analyze the categories and influencing factors of anxiety of the existential meaninglessness in elderly patients with chronic diseases.

A total of 493 elderly patients with chronic diseases from six tertiary grade A hospitals in Hunan province were selected as research subjects by convenience sampling from July to September 2024.A questionnaire survey was conducted using the General Information Questionnaire,Anxiety Measure of the Existential Meaninglessness Scale,Chinese Self-Transcendence Scale,and Health empowerment scale for elderly patients with chronic disease.Latent profile analysis and multinomial Logistic regression were used to explore the categories and influencing factors of anxiety of the existential meaninglessness in elderly patients with chronic diseases.

Anxiety of the existential meaninglessness in elderly patients with chronic diseases could be divided into three categories,namely low existential meaninglessness anxiety group(48.48%),moderate existential meaninglessness anxiety mixed group(43.41%),and high existential meaninglessness anxiety group(8.11%).Logistic regression analysis showed that economic resources,monthly family income,attitude towards life,type of medical insurance,and health empowerment were influencing factors for the categories of anxiety of the existential meaninglessness in elderly patients with chronic diseases(all P<0.05).

Anxiety of the existential meaninglessness in elderly patients with chronic diseases exhibits group heterogeneity.Targeted interventions based on different categories could be implemented in clinical nursing to reduce the anxiety of existential meaninglessness in elderly patients with chronic diseases.

To analyze the symptom transition patterns and influencing factors in patients with acute pancreatitis(AP) before and after discharge.

A total of 204 AP patients admitted to the First Affiliated Hospital of Naval Medical University were selected as study subjects by a convenience sampling method from October 2022 to October 2024.Data were collected using a general information questionnaire and Memorial Symptom Assessment Scale-Chinese Version.Latent transition analysis was performed to evaluate symptoms on the 1st to 7th day after admission and the 3rd month after discharge.

The symptom profiles of the 204 patients before and after discharge were both categorized into two groups,namely low symptom burden and high symptom burden.The probability of transitioning from the low symptom burden group before discharge to the high symptom burden group after discharge was 61.8%.The probability of transitioning from the high symptom burden group to the low symptom burden group was 52.9%.Logistic regression analysis showed that urban employee medical insurance(OR=0.076) and mild disease severity(OR=0.044) were associated with a decreased probability of transitioning from low to high symptom burden,while the monthly household income per capita <3 000 yuan(OR=2.648) increased this probability.Additionally,age<60 years(OR=2.074) increased the likelihood of transitioning from high to low symptom burden,while the monthly household income per capita<3 000 yuan(OR=0.286) decreased this probability.

Symptom profiles among AP patients exhibit group heterogeneity before and after discharge.Healthcare professionals should implement individualized management strategies based on symptom transition patterns.

To explore the dynamic change characteristics of the incidence of hospital infections before and after the intervention of antimicrobial stewardship measures,and to quantitatively evaluate the short-term and long-term impacts of antimicrobial stewardship measures.

Data on the infection rate of Klebsiella pneumoniae(KPN) among inpatients from July 2017 to December 2018 were collected as pre-intervention data.Data on the KPN infection rate among inpatients from January 2019 to June 2020 were collected as post-intervention data.The Bayesian interrupted time series method was used to evaluate the changing trend of KPN infection rate before and after the implementation of antimicrobial stewardship measures.

The average monthly KPN infection rate from July 2017 to June 2020 was 0.941%.The average monthly KPN infection rate before the implementation of antimicrobial stewardship measures was 0.947%.The average monthly KPN infection rate after the implementation of antimicrobial stewardship measures was 0.934%.The parameter estimation results of the model with a lag period of 2 months showed that {\widehat{\beta }}_{\mathrm{2}} was statistically significant(P<0.05),with a risk ratio of 0.818.{\widehat{\beta }}_{\mathrm{3}} was statistically significant(P<0.05),{\widehat{\beta }}_{\mathrm{1}}+{\widehat{\beta }}_{\mathrm{3}}=0.021,with a risk ratio of 1.021.{\widehat{\beta }}_{\mathrm{4}} was statistically significant(P<0.05),with a risk ratio of 1.661.The results of the relative changes between the predictive values and counterfactual values showed that the changes from March to May 2019 all decreased (all P<0.05),while the changes from April to June 2020 all increased (all P<0.05).

The Bayesian interrupted time series model could effectively evaluate the short-term and long-term effects of intervention measures.It could also evaluate whether the intervention had a lag effect or not.The implementation of hospital antimicrobial stewardship measures could reduce the infection risk in the short term,with a 2-month lag period in the intervention effect,while the long-term effect was not ideal.

To explore the latent categories and influencing factors of complication risk perception in young and middle-aged patients with type 2 diabetes.

A total of 364 young and middle-aged patients with type 2 diabetes who visited two tertiary grade A hospitals in Henan Province were selected as the study subjects by convenience sampling method from February to August 2024.Surveys were conducted using a general information questionnaire,the Chinese version of Risk Perception Survey-Diabetes Mellitus(RPS-DM),Health Literacy Scale(HLS),Family APGAR Index(APGAR),and Perceived Social Support Scale(PSSS).Latent profile analysis was performed to assess complication risk perception.Logistic regression analysis was used to explore the influencing factors of the latent categories.

The complication risk perception of the young and middle-aged patients with type 2 diabetes could be classified into three latent categories,namely low risk perception-high optimistic bias(40%),moderate risk perception-low personal control(44%),and high risk perception-comprehensive type(16%).Logistic regression analysis showed that place of residence,per-capita monthly family income,family history of diabetes,duration of diabetes,BMI,diabetes health literacy,family caring,and perceived social support were influencing factors of the latent categories(P<0.05).

There is heterogeneity in the characteristics of complication risk perception in young and middle-aged patients with type 2 diabetes.Healthcare providers could implement targeted interventions based on the features of different patient categories to improve their level of complication risk perception.

To explore the dynamic sleep quality trajectories and analyze the influencing factors in postoperative patients with cervical spondylotic myelopathy.

A total of 244 postoperative patients with cervical spondylotic myelopathy in our hospital were selected as the study subjects by convenience sampling from August 2023 to August 2024.The Chinese version of the Pittsburgh Sleep Quality Index(PSQI) was used to assess sleep quality of patients at baseline,1 week,1 month,and 3 months after operation.Latent class growth modeling was employed to analyze the classification of sleep quality trajectories.Univariate analysis and Logistic regression analysis were used to explore the influencing factors of the trajectories.

The sleep quality trajectories of the 244 postoperative patients with cervical spondylotic myelopathy could be categorized into 3 categories,namely high quality-improving type(65 cases,26.6%),low quality-improving type(109 cases,44.7%),and low quality-declining type(70 cases,28.7%).Logistic regression analysis showed that age,monthly per-capita household income,preoperative disease duration,number of involved spinal segments,preoperative Chinese version of Japanese Orthopaedic Association(JOA) score,preoperative Visual Analogue Scale(VAS) score,preoperative Self-Rating Depression Scale(SDS) score,and preoperative Self-Rating Anxiety Scale(SAS) score were all influencing factors for the sleep quality trajectories in postoperative patients wtih cervical spondylotic myelopathy(P<0.05).

There is certain heterogeneity in the sleep quality trajectories in postoperative patients with cervical spondylotic myelopathy,which are influenced by multiple factors.It suggests that healthcare professionals can predict postoperative sleep quality trajectories of patients based on these influencing factors and develop personalized nursing plans to improve patient's sleep quality.

To explore the latent categories of nutritional literacy and the differences in dietary health beliefs across different categories in maintenance hemodialysis(MHD) patients.

A total of 238 MHD patients from the hemodialysis center of Taihe Hospital in Shiyan city were selected as the study subjects from October to December 2024 by convenience sampling.Data were collected using a general demographic information questionnaire,the Nutritional Literacy Assessment Questionnaire for MHD Patients,and the Dietary Health Belief Questionnaire for Hemodialysis Patients.Latent profile analysis(LPA) was used to classify patients' nutritional literacy into different categories,and differences in dietary health beliefs across categories were compared.

The nutritional literacy of MHD patients could be classified into three latent categories,namely passive acceptance type(34.5%),guidance-dependent type(52.1%),and self-management type(13.4%).There were statistically significant differences in the total scores of dietary health beliefs among MHD patients with different nutritional literacy categories(P<0.05).Logistic regression analysis showed that age,gender,and place of residence were influencing factors of the latent categories of nutritional literacy in MHD patients(P<0.05).

There is heterogeneity in the nutritional literacy of MHD patients.The levels of dietary health beliefs vary across different nutritional literacy categories.Healthcare professionals should develop personalized intervention strategies based on patients' nutritional literacy categories to improve their nutritional literacy and dietary health beliefs.

To explore the latent profiles and influencing factors of self-management behaviors in convalescent stroke patients,and to analyze the predictive roles of post-stroke fatigue and post-traumatic growth on self-management behaviors.

A total of 302 convalescent stroke patients from a tertiary grade A hospital and communities in Yanji city were selected as the study subjects by convenience sampling from October 2023 to November 2024.Four follow-ups were conducted to evaluate patients' post-stroke fatigue,post-traumatic growth,caregiver contribution,and self-management behaviors.Latent growth mixture modeling was used to fit the latent categories of self-management behaviors.Logistic regression analysis was employed to explore the influencing factors of these latent categories in convalescent stroke patients.

The self-management behaviors of convalescent stroke patients were categorized into three categories,namely the low-level initial increase followed by decrease group(45.0%),the high-level decline group(12.6%),and the medium-level increase group(42.4%).Logistic regression analysis showed that scores for post-stroke fatigue,post-traumatic growth,caregiver contribution,living alone,gender,presence of other chronic diseases,and residential area were influencing factors for the trajectory categories of self-management behaviors in convalescent stroke patients(P<0.05).Mediation model analysis indicated that the mediating effect of post-traumatic growth and the moderating effect of caregiver contribution between post-stroke fatigue and self-management behaviors were not significant.

Self-management behaviors in convalescent stroke patients shows group heterogeneity.Interventions should be strengthened in areas such as fatigue management,psychological adjustment,and family support to enhance the level of self-management behaviors in these patients.

To construct a nursing knowledge question answering system based on deep learning technology and to evaluate its application effectiveness in clinical nursing.

A knowledge base in the nursing domain was constructed using deep learning methods.The pre-trained language models was taken such as Bidirectional encoder representations from transformers(BERT) as the core to develop the nursing knowledge question answering system.The technical performance and clinical application effects of the system were evaluated.

The constructed nursing knowledge question answering system achieved an accuracy of 86.8% on nursing professional questions.The average response time was 1.2 seconds.Clinical application results showed that the system effectively reduced the workload of nurses.The per shift time spent for patients' answering common questions in nurses was decreased by 93.4%.The satisfaction score of the nurse was 4.3.

The nursing knowledge question answering system based on deep learning can effectively enhance nursing work efficiency and provide reliable knowledge support for nurses.

To design and develop a smart care platform for patients with mild cognitive impairment(MCI) that integrates artificial intelligence(AI) technologies.

A total of 554 MCI patients and their family caregivers were recruited from three community health service centers in Liuzhou city,Guangxi Zhuang Autonomous Region from January 2022 to June 2024.Semi-structured interviews were conducted to clarify the functional requirements of the platform.The platform was developed using speech recognition,data analysis,and personalized recommendation technologies,which integrated functions such as intelligent schedule management,health monitoring,cognitive training,and data sharing.Patients' care compliance,cognitive training completion rates,occurrence of forgetfulness events,nursing information documentation completeness,and incidents of wandering or sudden health events before and after using the smart care platform were evaluated.Caregivers' care burden,anxiety levels,and the burden of high care workload before and after using the platform were evaluated.

After using the platform,MCI patients showed higher care compliance,cognitive training completion rates,and nursing information record integrity,while experiencing lower incidence of memory lapse events,wandering or sudden health incidents compared to before platform use.Family caregivers demonstrated lower care burden scores,anxiety levels,and proportion reporting high care workload after platform use(P<0.001).

The smart care platform can provide personalized and continuous intelligent care support for MCI patients.It contributes to improve care service quality and keep better maintenance of patients' functional levels.

To analyze the definition and connotation of feeding intolerance in critically ill children,to provide a theoretical basis for research and clinical practice.

Literature on feeding intolerance in critically ill children was retrieved from CNKI,Wanfang Data,VIP Database,CBM,PubMed,ProQuest,CINAHL,EMbase,and Scopus.The Walker and Avant concept analysis method was applied to analyze feeding intolerance in critically ill children.

Ultimately,43 articles were included.The defining attributes of feeding intolerance in critically ill children were identified as three aspects,namely high gastric residual volume,gastrointestinal symptoms,and insufficient enteral nutrition intake.Antecedents included physiological factors,treatment factors,and feeding-related factors.Consequences encompassed impacts on the child and effects on clinical practice.

The concept analysis clarified the conceptual attributes of feeding intolerance in critically ill children,which was beneficial for providing reference for the clinical management of this condition and promoting the implementation of enteral nutrition.

To develop the perioperative missed nursing care scale and to test its reliability and validity.

The initial version of the perioperative missed nursing care scale was developed through literature review and qualitative interviews.The scale was revised by Delphi expert consultations and a pre-survey.A total of 754 operating room nurses from 22 provinces,autonomous regions,and municipalities in China were selected as survey subjects.The reliability and validity of the scale were tested.

The questionnaire response rates for the two rounds of expert consultations were 100.0% and 94.4%,respectively.The expert authority coefficients were 0.911 and 0.935,respectively.Kendall's W coefficients for subscale A were 0.279 and 0.295(both P<0.001).Kendall's W coefficients for subscale B were 0.220 and 0.185(both P<0.001).Exploratory factor analysis extracted four common factors each for both subscale A and subscale B,with cumulative variance contribution rates of 76.41% and 75.71%,respectively.Confirmatory factor analysis results showed that all fit indices were within acceptable ranges.For subscale A,the average variance extracted values for the four dimensions ranged from 0.430 to 0.529,and composite reliability values ranged from 0.880 to 0.966.For subscale B,the average variance extracted values for the four dimensions ranged from 0.519 to 0.700,and composite reliability values ranged from 0.873 to 0.972.The item-level content validity index (I-CVI) for the perioperative missed nursing care scale ranged from 0.857 to 1.000.The scale-level content validity index(S-CVI) was 0.914.The overall Cronbach's α coefficient for the scale was 0.967.The Cronbach's α coefficients for the dimensions of subscale A ranged from 0.885 to 0.965.The Cronbach's α coefficients for the dimensions of subscale B ranged from 0.866 to 0.972.The overall split-half reliability was 0.924 for subscale A and 0.898 for subscale B.

The perioperative missed nursing care scale demonstrates scientific rigor and practical utility.It could be used to assess missed nursing care items and their causes in the perioperative period.

To translate Ankle Instability Instrument(AII)into Chinese and to test its reliability and validity.

The AII was translated and cross-culturally adapted.The Chinese version of AII was formed.A total of 1850 university students from six institutions in Henan province were surveyed by convenience sampling.The reliability and validity of the scale were tested.

The Chinese version of AII comprised 8 items divided into three dimensions,namely injury history and management,functional instability,and stair/complex scenario instability.The cumulative variance contribution rate was 66.20%.The three-factor model demonstrated a good fit.The composite reliability of the three dimensions ranged from 0.80 to 0.85.The average variance extracted ranged from 0.53 to 0.59.The square root of the average variance extracted for each dimension(0.73-0.77) was greater than its correlation coefficients with other dimensions(0.37-0.55).The heterotrait-monotrait ranged from 0.49 to 0.68.The total score and dimension scores of the Chinese AII were negatively correlated with scores on the Foot and Ankle Ability Measure and the Cumberland Ankle Instability Tool,and positively correlated with scores on the Visual Analogue Scale(all P<0.05).The Cronbach's α coefficient of the Chinese version of AII was 0.88,the split-half reliability was 0.86,and the retest reliability was 0.87(P<0.01).

The Chinese version of AII demonstrates good reliability and validity.It could be used as a tool for measuring functional ankle instability.

To translate the Iceland-Family Perceived Support Questionnaire(ICE-FPSQ),and to test its reliability and validity among family members of hospitalized children.

Based on the Brislin translation model,the ICE-FPSQ was translated to form the Chinese version(ICE-FPSQ-CN).A total of 340 caregivers of hospitalized children in two tertiary grade A hospitals in Wuhan city were selected as participants by convenience sampling from July 2024 to January 2025.They were surveyed to test the ICE-FPSQ-CN reliability and validity.

The ICE-FPSQ-CN consisted of 14 items across two dimensions,namely emotional support and cognitive support.Both the item level content validity index(I-CVI) and scale level content validity index(S-CVI) were 1.000.Exploratory factor analysis extracted two common factors,with a cumulative variance contribution rate of 64.946%.Results from the modified confirmatory factor analysis showed that χ²/df=2.412,RMSEA=0.077,IFI=0.939,TLI=0.921,CFI=0.938,GFI=0.909,indicating a good model fit.The composite reliability for the emotional support and cognitive support dimensions were 0.899 and 0.794,respectively.Average variance extracted values were 0.502 and 0.444,respectively.The square roots of the average variance extracted were greater than the corresponding correlation coefficients.The overall Cronbach's α coefficient of the questionnaire was 0.934.The split-half reliability was 0.848.The test-retest reliability was 0.897.

The ICE-FPSQ-CN demonstrates good reliability and validity.It can be used as an assessment tool for perceived family support in China.

To analyze the correlation between peripherally inserted central catheter(PICC) standardized catheterization length and body parameters in low birth weight infants(LBWI),and to construct a predictive formula for PICC standardized catheter placement length.

A total of 175 LBWIs who received PICC in the right upper limb or right lower limb in the neonatal intensive care unit of Shanxi Bethune Hospital were selected as research subjects from January 2023 to December 2024.General demographic data(gender,postnatal age at catheterization) and catheterization data[catheterization vein,arm circumference(for upper limb),calf circumference(for lower limb),body weight at catheterization,standardized catheter placement length] were collected.Pearson correlation analysis was used to explore the correlation between variables and standardized catheter placement length for each vein.Based on simple linear regression analysis results,predictive formulas for PICC standardized catheter placement length in different veins for LBWIs were constructed.Bland-Altman plots were used to analyze the agreement between predicted and actual insertion lengths for each vein.

Standardized catheter placement lengths for the right basilic vein,right median cubital vein,right cephalic vein,and right great saphenous vein were all positively correlated with arm circumference,calf circumference and body weight at catheterization(all P<0.05).Standardized catheter placement lengths for the right basilic vein and right great saphenous vein were also positively correlated with postnatal age at catheterization(both P<0.05).Among all parameters,body weight at catheterization showed the highest correlation with standardized catheter placement length for all four veins.Based on simple linear regression analysis,four prediction equations were constructed to predict the standardized catheterization length. Standardized catheter placement length for right basilic vein=6.941+2.562×body weight at catheterization(kg).Standardized catheter placement length for right median cubital vein=8.110+2.153×body weight at catheterization(kg).Standardized catheter placement length for right cephalic vein=7.583+2.539×body weight at catheterization(kg).Standardized catheter placement length for right great saphenous vein=16.574+3.953×body weight at catheterization(kg).Bland-Altman plots showed that the mean differences between predicted and actual insertion lengths were small for all four veins,with almost all data points falling within the 95% confidence interval.

PICC standardized catheter placement length in LBWIs is positively correlated with body weight at catheterization.The prediction formulas based on body weight at catheterization demonstrate high accuracy.

To construct a home-based agile exercise fall prevention program for patients with subacute ischemic stroke,to provide a basis for fall prevention management in stroke patients.

Based on the health action process approach(HAPA) theory,a preliminary draft of the home-based agile exercise fall prevention program for patients with subacute ischemic stroke was developed through literature review and group discussions.The Delphi method was applied to finalize the program.

Two rounds of expert consultation were conducted.The questionnaire response rates of 83.33% and 100.00%,respectively.The expert authority coefficient was 0.840.Kendall's coordination coefficients were 0.333 and 0.300,respectively(both P<0.001).In the second round,the coefficient of variation ranged from 0.05 to 0.23.The item importance scores ranged from 3.93 to 4.93.The full-score rates ranged from 33.3% to 93.3%.The finalized program included 3 first-level indicators,8 second-level indicators,and 27 third-level indicators.

The home-based agile exercise fall prevention program for patients with subacute ischemic stroke is reliable,scientific,feasible,and safe.It could provide a basis for developing fall prevention management interventions for patients with subacute ischemic stroke.

To investigate the relationship between the neutrophil-to-lymphocyte ratio(NLR) and postoperative pneumonia in elderly patients with hip fracture.

A total of 1 444 elderly patients with hip fracture admitted to Shenzhen Second People's Hospital from January 2012 to December 2021 were selected as the study subjects.Clinical data were collected.Univariate and multivariate Logistic regression analyses were used to explore influencing factors of postoperative pneumonia in elderly patients with hip fracture.A generalized additive model was employed for smooth curve fitting to examine the relationship between NLR and postoperative pneumonia in elderly hip fracture patients.

The incidence of postoperative pneumonia in elderly hip fracture patients was 6.30%(91/1 444).The NLR was significantly higher in the pneumonia group compared with the non-pneumonia group（P<0.001）.Multivariate Logistic regression analysis revealed that NLR was an important influencing factor of postoperative pneumonia in elderly patients with hip fracture(P=0.001).Curve fitting results indicated a linear correlation between NLR and the occurrence of postoperative pneumonia（P<0.05）.

NLR has predictive value for the occurrence of postoperative pneumonia in elderly patients with hip fracture.

To develop and apply home-based dietary management protocol for diabetic foot patients.

Literature analysis and quality assessment were conducted to formulate initial draft of the home-based dietary management protocol for diabetic foot patients.Expert consultation was organized to revise and refine the draft.The final version of the home-based dietary management protocol for diabetic foot patients was formed.A total of 90 home-based diabetic foot patients from a tertiary grade A hospital and communities in Shanxi province were selected as research subjects from July to October 2024.Participants were randomly divided into control group and observation group using random number table.There were 43 cases in each group after excluding dropout cases.The control group received routine diabetes dietary care instructions,while the observation group received guidance based on the home-based dietary management protocol for diabetic foot patients.The nutritional status,dietary management level,glycated hemoglobin (HbA1c) levels,and wound outcomes were assessed in both groups.

The final home-based dietary management protocol for diabetic foot patients was established,structured according to the pathological stages of diabetic foot wounds(inflammatory phase,proliferative phase,remodeling phase).The effective recovery rate of questionnaire was 100%.The expert authority coefficient was 0.85.The Kendall's W coefficient was 0.318(P<0.001).The observation group showed superior outcomes compared to the control group in terms of Mini Nutritional Assessment(MNA) scores,Dietary Management Scale for Type 2 scores,HbA1c levels,and overall wound treatment effectiveness(all P<0.05).

The home-based dietary management protocol for diabetic foot patients is scientific and feasible.Its application is beneficial for improving the nutritional status,dietary management capabilities,glucose metabolism indicators,and wound outcomes of diabetic foot patients.

To evaluate the effect of aerobic exercise combined with auricular point sticking therapy on ectopic fat deposition in pancreatic,liver,and muscle tissues in patients with impaired glucose tolerance.

A total of 140 patients with impaired glucose tolerance in Affiliated Hospital of Integrated Traditional Chinese and Western Medicine,Nanjing University of Chinese Medicine and Pukou Hospital of Traditional Chinese Medicine Affiliated to China Pharmaceutical University were selected as the study subjects from December 2021 to October 2023.They were randomly divided into four groups using a random number table,namely the aerobic exercise group,the auricular point sticking group,the combined intervention group,and the control group,with 35 patients in each group.The control group received routine management.The aerobic exercise group received structured exercise intervention in addition to routine management.The auricular point sticking group received auricular point sticking therapy in addition to routine management.The combined intervention group received both structured exercise intervention and auricular point sticking therapy in addition to routine management.Before the intervention and after 6 months of intervention,the patients' glycosylated hemoglobin(HbA1c),liver proton density fat fraction(PDFF),pancreatic fat fraction(PFF),psoas muscle fat fraction,and visceral adipose tissue(VAT) volume were measured.

A total of 106 patients were finally included,with 24 in the aerobic exercise group,28 in the auricular point sticking group,22 in the combined intervention group,and 32 in the control group.The intraclass correlation coefficient(ICC) for the abdominal fat measurement indicators ranged from 0.812 to 0.897(all P<0.001).After 6 months of intervention,there were statistically significant differences in terms of HbA1c,VAT,PDFF,PFF,and psoas muscle fat fraction among the four groups(all P<0.05).Factorial analysis results showed that aerobic exercise and auricular point sticking had synergistic effects on improving HbA1c,PDFF,and PFF(all P<0.05).

Aerobic exercise combined with auricular point sticking can synergistically reduce PDFF and PFF levels in patients with impaired glucose tolerance,and improve HbA1c.It has great significance in delaying the progression of impaired glucose tolerance and preventing diabetes.