Objective To develop a rehabilitation nursing model for knee osteoarthritis(KOA)of external treatment in traditional Chinese medicine(TCM).Methods Between February and June 2023,a preliminary KOA rehabilitation nursing model was developed through literature search and semi-structured interview method.Two rounds of Delphi consultations were conducted with the selected experts,to establish a rehabilitation nursing model for KOA of TCM external treatment.Results A total of 24 experts from different regions participated in the consultation.The final rehabilitation nursing model of TCM external treatment for KOA included 3 primary indicators,16 secondary indicators and 91 tertiary indicators.The response rates from the two rounds of expert consultation were 96.00%and 100.00%,respectively,and the rates of expert opinion proposal were 58.33%and 8.33%,respectively.The expert authority coefficient were 0.906 and 0.923.The two rounds of expert consultation were 0.137 and 0.236 in Kendall's coefficient of concordance(W),with statistically significant differences(both P<0.001).The importance scores of each item in the second inquiry ranged from 3.75 to 4.88,and the coefficient of variation ranged from 0.07 to 0.30,and the full score ratio ranged from 20.83%to 87.50%.Conclusion The rehabilitation nursing model for KOA of TCM external treatment developed in this study is significant,scientific and feasible.It provides a guidance for medical professionals.

In recent years,the incidence rate of type 1 diabetes is on the rise.The causes of the disease are extremely complex,and the pathogenesis has not yet been fully clarified.Different types of studies have confirmed that the occurrence and evolution of type 1 diabetes is a typical process of polygene,multifactor,multi-stage and multi-channel,which is considered to be caused by the combined effect of genetic and environ-mental factors.At present,it is believed that environmental factors are related to the interaction of infection factors,diet factors,early exposure events,intestinal flora,immune factors,other factors and genetic factors.This article reviews the research on environmental factors of type 1 diabetes in recent years.

Objective To explore the application effect of multimodal somatosensory exercise based on artificial intelligence technology in home rehabilitation exercise for elderly patients with chronic obstructive pulmonary dis-ease(COPD),so as to promote COPD patients to participate in home rehabilitation exercise.Methods Using the convenient sampling method,80 elderly patients with COPD admitted to the Department of Respiratory Medicine of a tertiary A hospital in Urumqi from November 2023 to February 2024 were selected as the research subjects.Ac-cording to the random number table method,they were divided into a control group and an experimental group,with 40 cases in each group.The control group adopted the traditional exercise training method,and the experimental group adopted the multi-modal somatosensory movement based on artificial intelligence technology for exercise in-tervention,with 5 times a week,and the intervention was implemented for 12 weeks.The pulmonary function index,modified Medical Research Council scale score,physical fitness level,Chronic Obstructive Pulmonary Disease As-sessment Test scale score and exercise compliance of the 2 groups were compared before intervention and 12 weeks after intervention.Results 77 patients completed the study,with 39 in the experimental group and 38 in the control group.The forced vital capacity,forced expiratory volume in one second,forced expiratory volume in one second to forced vital capacity ratio,physical fitness level and exercise compliance of the experimental group were higher than those of the control group,while the modified British Medical Research Council scale score and Chron-ic Obstructive Pulmonary Disease Assessment Test score were lower than those of the control group.The differences were statistically significant(P＜0.05).Conclusion Somatosensory exercise based on artificial intelligence technology can improve the lung function of the patients with COPD,improve the exercise compliance and physical fitness in-dicators of elderly patients and improve the quality of life of the patients.

Objective To investigate the achievement of early fluid resuscitation targets and factors influencing 28-day outcomes in patients with sepsis.Methods A retrospective cohort analysis was conducted.A total of 164 patients with sepsis admitted to the First Affiliated Hospital of Xinjiang Medical University between January 2022 and January 2024 were enrolled.Patients were divided into survival and death groups based on 28-day survival status,with both groups receiving early fluid resuscitation.Comparisons were made between groups for general characteristics[gender,age,body mass index(BMI),infection site,comorbidities],primary indicators[central venous pressure(CVP),mean arterial pressure(MAP),urine output],and secondary indicators[blood lactate acid(Lac),procalcitonin(PCT),heart rate,sequential organ failure assessment(SOFA)on intensive care unit(ICU)admission day,Glasgow coma scale(GCS),duration and dose of vasoactive medication use].Univariate analysis identified variables associated with prognosis,followed by multivariate Logistic regression to select independent risk factors.Receiver operator characteristic(ROC curve)were plotted to assess predictive performance of each risk factor for the 28-day prognosis of patients with sepsis.Results This study included 164 patients.The primary infection sites were mainly the lungs,abdominal cavity,and urinary system,accounting for 42.7%(70/164),38.4%(63/164),and 9.1%(15/164)respectively.The survival group comprised 141 patients,while the the death group included 23 patients.No statistically significant differences existed between groups in gender,BMI,infection site(soft tissue infection vs.others),underlying diseases,MAP,urine output(all P>0.05).Compared to the survival group,the death group showed significantly higher age,pulmonary infection rate,Lac levels,vasoactive drug duration/dose,heart rate,and SOFA scores,while the rates of abdominal,and urinary tract infection,as well as CVP,PCT,and GCS scores were significantly lower(all P<0.05).The achievement rates of early fluid resuscitation parameters:MAP target achievement was highest at 78.7%(129/164),followed by urine output compliance at 78.0%(128/164),while CVP compliance was the lowest at 39.0%(64/164).The overall compliance rate was 21.3%(35/164).Univariate analysis showed that age,pulmonary infection,Lac levels,duration and dose of vasoactive drugs,heart rate,PCT,GCS score,and SOFA score were all risk factors affecting the 28-day prognosis of patients with sepsis(all P<0.05).Multivariate Logistic regression analysis showed Lac levels,and pulmonary infection were independent risk factors affecting 28-day prognosis of patients with sepsis[odds ratio(OR)were 0.801,3.966,0.812,95%confidence interval(95%CI)were 0.711-0.903,1.149-13.696,0.674-0.979 respectively,P values were<0.001,0.029,0.029 respectively].ROC curve analysis demonstrated that age,Lac levels,and pulmonary infection all possessed predictive value for 28-day outcomes(all P<0.05).Age exhibited the highest predictive value with an AUC of 0.922.At the optimal cut-off of 76.6 years,sensitivity reached 95.7%and specificity 80.9%.Conclusion The overall achievement rate of early fluid resuscation in sepsis patients was low,with age,Lac levels,and pulmonary infection being major factors influencing poor prognosis.

Objective:To develop and validate a knowledge-attitude-practice questionnaire for clinical nurses on postoperative thirst management.Methods:From July 2023 to May 2024, based on the theory of knowledge, belief and practice, a preliminary questionnaire was formed after literature review, Delphi expert consultation and pre-survey. A total of 243 clinical nurses were investigated, and the questionnaire was compiled and the reliability and validity were tested.Results:The questionnaire was composed of 31 items in three dimensions of knowledge, attitude and behavior. The cumulative variance contribution rate of the three factors in exploratory factor analysis was 76.130%. The overall Cronbach′s α coefficient was 0.965. The test-retest reliability was 0.913. The items of the questionnaire ranged from 0.857 to 1.000, and the questionnaire was 0.968. Conclusions:The questionnaire has good reliability and validity, which is suitable for clinical nurses to investigate the knowledge, attitude and behavior of postoperative thirst management.

Objective To investigate status of postoperative kinesiophobia in patients with ankle fracture and to identify the factors influencing kinesiophobia,thereby offering references for developing targeted nursing interventions.Methods A cross-sectional study was conducted between June 2023 and May 2024.With convenience sampling,338 first-time ankle fracture patients who received surgical treatment were recruited from a Tier-IIIA orthopaedic hospital in Xinjiang.Data was collected among the patients at 24 hours after surgery through the general information questionnaire,kinesiophobia scoring scale,pain visual analogue scale,hospital anxiety and depression scale,social support rating scale and general self-efficacy scale.Logistic regression was employed to identify factors influencing kinesiophobia.Results A total of 320 patients completed the study.The prevalence among the patients with kinesiophobia was 38.1%,and scored at(39.6±1.5).Logistic regression analysis identified that the pain,social support and self-efficacy were the independent risk factors of kinesiophobia(all P<0.05).Conclusion Patients with ankle fractures have a high prevalence of postoperative kinesiophobia.Pain,social support and self-efficacy are the key factors that influence kinesiophobia.Intervention strategies should be adopted in response to the influencing factors in order to promote the recovery of patients.

Objective:To explore the impact of health education based on individualized situation, background, assessment and recommendation (SBAR) communication mode on stress response and family support in patients with coronary artery bypass transplantation (CABG).Methods:This study was a similar experimental study, and 78 surgical patients undergoing coronary artery bypass grafting in the First Affiliated Hospital of Xinjiang Medical University were selected from February to July 2023. Among them, 39 patients admitted from February to April 2023 were in the control group with routine care measures; 39 patients admitted from May to July 2023 were in the observation group. The stress response indicators: the blood glucose (Glu), buffuer excess (BE) and lacid acid (Lac) were measured in both groups when entering the operating room, start and over the cardiopulmonary bypass. Compared the stress response indicators, sleep quality, family support and postoperative complications before and after the treatment between the two groups.Results:In the control group, there were 31 males and 8 females age (57.31 ± 7.56) years old, while in the observation group, there were 33 males and 6 females age (58.36 ± 6.84) years old. Repeated-measures ANOVA showed significant Glu, BE and Lac ( Ftime=76.00, 9.69, 6.19, all P<0.05) and interaction effects ( Finteraction=3.17, 4.43, 4.35, all P<0.05). The sleep quality score and family support score in the observation group were (9.49 ± 2.61) and (10.79 ± 1.26), respectively, in the control group was (10.85 ± 2.61) and (9.38 ± 1.41) respectively, the differences were significant ( t=2.30, -4.66, both P<0.05). The incidence of postoperative complications in the observation group was 12.82% (5/39), which was significant lower than the 38.46%(15/39) in the control group ( χ2= 6.72, P<0.05). Conclusions:The health education of SBAR communication mode is beneficial to reduce the stress response of patients, improve the sleep quality of CABG patients, enhance the sense of gain of family support, and reduce the occurrence of postoperative complications, thus promoting the rehabilitation outcome of patients.

Objective:To construct a functional exercise intervention programme for breast cancer surgery patients and investigate the application effect, in order to provide a reference for improving patients′ postoperative functional exercise adherence based on the Patient Health Engagement (PHE) model.Methods:Using a randomised controlled trial method, 122 breast cancer surgery patients admitted to the First People′s Hospital of Tai′an were selected by convenience sampling from December 2023 to April 2024, and were divided into 61 cases each in the control group and the intervention group using the random number table method. The control group received routine intervention, while the intervention group received functional exercise intervention based on the PHE model on the basis of the control group, and the patients were observed on postoperative days 7, 30, and 60 days for the functional exercise adherence, health literacy, shoulder joint mobility and edema of the affected limb.Results:Each of the 2 groups eventually completed the study with 58 female cases with 3 cases fell off. The patients in the control group aged (54.84 ± 9.47) years. The patients in the intervention group aged (55.66 ± 7.29) years. After the intervention, the postoperative adherence scores of patients in the control group were (50.48 ± 4.87), (45.45 ± 4.44), and (41.93 ± 4.34) at 7, 30, and 60 days after surgery, respectively, which were lower than those of the intervention group (55.84 ± 3.98), (50.62 ± 3.87), (45.91 ± 4.09), the difference between two groups was significant ( t=-6.49, -6.69, -5.09, all P<0.05). There were statistically significant differences in adherence scores between groups, time and interactions ( F=40.48, 1 096.00, 7.14, all P<0.05). As for the healthy belief, the control group scored (80.22 ± 8.28), (82.84 ± 11.56), (86.79 ± 11.42), and (88.05 ± 11.06) before intervention, at 7, 30, and 60 days after surgery, and the difference in time was statistically significant when compared with the scores of the intervention group at the same time, which were (80.26 ± 9.08), (84.55 ± 9.52), (87.66 ± 7.97), and (89.31 ± 7.09) ( F=31.60, P<0.05). Shoulder mobility scores in the control group were (5.02 ± 1.16), (7.16 ± 1.23), (8.91 ± 1.08) at 7, 30, and 60 days after surgery, respectively, which were lower than those in the intervention group (6.02 ± 1.03), (7.69 ± 1.14), and (10.10 ± 1.05), the difference between two groups was significant ( t=-4.90, -2.43, -6.00, all P<0.05), and the differences in shoulder mobility scores among groups, time, and interaction were all statistically significant ( F=34.19, 558.40, 3.98, all P<0.05). At 60 days after surgery, a total of 2 cases (3.45%) of patients in the control group developed moderate or severe affected limb lymphedema and 0 cases in the intervention group, and the difference was statistically significant in comparison ( χ2=6.03, P<0.05). Conclusions:The functional exercise intervention based on the PHE model can effectively improve the functional exercise compliance and healthy belief of patients undergoing breast cancer surgery, reduce postoperative limb edema, improve shoulder joint motion, and promote postoperative recovery.

Objective:To explore the relationship between post-traumatic growth and stress perception as well as the chain-mediated roles of psychological resilience and navigating social support in patients with primary liver cancer(PLC), in order to provide theoretical ideas for the nursing and intervention of PLC patients.Methods:Convenience sampling was used to select PLC patients admitted to the First Affiliated Hospital, Third Affiliated Hospital, and Fourth Affiliated Hospital of Xinjiang Medical University from October 2023 to May 2024 as the research subjects. A cross-sectional survey was conducted using Posttraumatic Growth Inventory, the Chinese Perceived Stress Scale, Perceived Social Support Scale, and the Connor-Davidson Resilience Scale.Results:A total of 236 PLC patients were ultimately included, including 189 males and 47 females. Age distribution was as follows: 18-40 years years (7 cases), 41-60 years (128 cases), and ≥61 years (101 cases). Posttraumatic growth showed a significant negative correlation with perceived stress ( r=-0.512, P<0.01), while demonstrating positive correlations with psychological resilience and perceived social support ( r=0.605, 0.515, both P<0.01). Psychological resilience and perceived social support had mediating and chain mediating effects between perceived stress and posttraumatic growth, with mediating effects of -0.176 and -0.069, accounting for 29.24% and 11.46% of the total effect, respectively. The chain mediating effect value was 0.073, accounting for 12.13% of the total effect. Conclusions:The pathway of stress perception on post-traumatic growth in patients with PLC is indirect, and stress perception can contribute to the growth of post-traumatic growth in patients through psychological resilience, and navigating social support.

Objective:To construct and validate a prediction model for intraoperative hypothermia in general anesthesia surgery patients based on machine learning algorithm.Methods:Convenience sampling was used to retrospectively collect data from 1 075 general anesthesia surgery patients in the First Teaching Hospital of Xinjiang Medical University from March to August 2023, which were randomly divided into modeling set and validation set in the ratio of 7∶3. Combining LASSO regression with the random forest algorithm, intraoperative hypothermia risk factors were screened. Models were constructed based on six machine learning algorithms, Logistic regression, decision tree, support vector machine (SVM) , extreme gradient boosting (XGBoost) , multilayer perceptron (MLP) and K-Nearest Neighbors (KNN) , and evaluate the performance of all models. Web-based dynamic nomogram was developed and interpretable analysis of the optimal model was performed using SHAP graph.Results:According to LASSO regression and random forest algorithm, length of anesthesia, intraoperative blood loss, baseline body temperature, age, intraoperative urine volume, and type of surgery were risk factors for intraoperative hypothermia in patients under general anesthesia, and the difference was statistically significant ( P<0.05) . The areas under the receiver operating characteristic curve for Logistic regression, decision tree, XGBoost, KNN, MLP, and SVM models were 0.777, 0.746, 0.793, 0.743, 0.768, 0.793, and the F1 scores were 0.667, 0.719, 0.861, 0.756, 0.820, and 0.842, respectively. Decision curve showed that the net benefit of the XGBoost model for predicting intraoperative hypothermia in patients was high when the threshold probability was between 0 and 1. A web-based dynamic nomogram was developed with good clinical applicability and generalizability. Conclusions:A dynamic nomogram of intraoperative hypothermia in general anesthesia surgery patients constructed and validated based on the machine learning algorithm can assist medical and nursing staff in identifying patients at high risk of intraoperative hypothermia and implementing personalized interventions.