Heterogeneity of social participation in patients three months after total knee arthroplasty: a latent profile analysis.

BACKGROUND: Social participation is an important index of rehabilitation and social reintegration in patients after total knee arthroplasty (TKA). However, most existing studies focus on improving patients' functioning and activities, with only a few examining the social participation among patients after TKA. Therefore, the study aims to investigate the heterogeneity of social participation in patients three months after TKA and analyze subgroup influencing factors, to promote functional exercise and postoperative follow-up in specific patients. METHODS: This cross-sectional study recruited 255 patients who underwent TKA in a Tertiary Hospital in Jinan City, China, from March to July 2022. Three months after having undergone TKA, participants' data were collected using the Numeric Pain Rating Scale, the Chinese version of the Tampa Scale of Kinesiophobia, the 10-item Kessler Psychological Distress Scale, Hospital for Special Surgery Knee-rating Scale, and Impact on Participation and Autonomy Questionnaire. Latent profile analysis was used to identify categories of patients' social participation. Multiple logistic regression analysis was used to analyze the influencing factors of the different subgroups. RESULTS: Three months after TKA, the patients were divided into three subgroups: low social participation group (17.9%), moderate social participation group (40.8%), and high social participation group (41.3%). The vast majority of patients who underwent TKA exhibited moderate-to-high level of social participation. The multiple logistic regression analysis results showed that age, degree of pain, knee function, and kinesiophobia were the influencing factors of the potential profiles of social participation in patients three months after TKA (p < 0.05). CONCLUSION: These results support a distinct categorical feature of social participation among patients three months after undergoing TKA. Medical staff need to provide targeted guidance according to the potential classification characteristics of social participation to improve the level of social participation and promote rehabilitation of patients.

Association Between Insomnia and Cognitive Frailty Among Older Patients With Chronic Heart Failure: Multiple Mediating Effects of Depressive Symptoms and Social Support.

BACKGROUND: Older patients with chronic heart failure (CHF) are prone to insomnia. Studies have shown that insomnia affects the onset of cognitive frailty and is also strongly associated with depressive symptoms and social support. However, information on how these factors interact to influence cognitive frailty remains underexplored. OBJECTIVE: Our aim in this study was to explore the multiple mediating roles of depressive symptoms and social support in the relationship between insomnia and cognitive frailty. METHODS: We recruited 300 hospitalized older patients with CHF to participate in this study. The participants completed the Athens Insomnia Scale, Geriatric Depression Scale, Montreal Cognitive Assessment, FRAIL Scale, and Social Support Rating Scale. The mediation hypothesis was tested using a multiple mediation model and bootstrapping method. RESULTS: In this study, 44% of the patients experienced insomnia, and 51.3% were in a state of cognitive frailty. Our main findings suggest that insomnia has an indirect effect on cognitive frailty through 2 pathways: the multiple mediating effects of depressive symptoms and social support, and a single mediating effect of depressive symptoms. The direct effect of insomnia on cognitive frailty is also significant. CONCLUSIONS: Older patients with CHF who experience insomnia tend to have more severe depressive symptoms, cognitive frailty, and poor social support. Thus, interventions to recognize insomnia early, improve depressive symptoms, and provide social support may reduce cognitive frailty in older patients with CHF. Longitudinal studies are necessary to further refine our findings and address the limitations of the current study.

Role cognition of assigned nurses supporting Hubei Province in the fight against COVID-19 in China: a hermeneutic phenomenological study.

Aims: During the COVID-19 epidemic, nurses played a crucial role in clinical treatment. As a special group, front-line nurses, especially those assigned to support Hubei Province in the fight against COVID-19 between February and April 2020, brought diverse experiences from different provinces in China in taking care of COVID-19 patients and role cognition. Therefore, our purpose is to explore the real coping experience and role cognition of front-line nurses during the novel coronavirus outbreak to provide relevant experience references for society and managers in the face of such major public health emergencies in the future. Design: This qualitative study was performed using the phenomenological hermeneutics method. Method: This is a qualitative phenomenological study. Semi-structured in-depth interviews were used to collect data. The interviewees were 53 front-line nurses who assisted and supported the fight against COVID-19 in Hubei Province during the COVID-19 epidemic. Data were collected through individual online and telephone interviews using a semi-structured interview during March 2020. The COREQ guidance was used to report this study. Results: The findings revealed that front-line nurses assisting in the fight against COVID-19 developed a context-specific role cognition of their work and contribution to society. The qualitative analysis of the data revealed 15 sub-categories and 5 main categories. These five themes represented the different roles identified by nurses. The roles included expectations, conflicts, adaptation, emotions, and flow of blessing. Belief in getting better, a sense of honor, and training could help them to reduce feelings of conflict in this role and adapt more quickly. Discussion: This article discusses the real coping experience and role cognition of front-line nurses during the novel coronavirus epidemic. It provides relevant experience references for society and managers to face similar major public health emergencies in the future. This study makes a significant contribution to the literature because it demonstrates how non-local nurses sent to Hubei to work perceived their roles as part of a larger narrative of patriotism, duty, solidarity, and hope.

Longitudinal relationship between social participation, depressive symptoms, and activity impairment among older patients with arthritis: a moderated mediation analysis.

BACKGROUND: Arthritis primarily affects older people and is a prominent cause of their activity impairment. This study aimed to examine the mediating role of depressive symptoms in the relationship between social participation and activity impairment, as well as to determine whether sex moderated the mediating effect. METHODS: A total of 2247 older patients with arthritis were included from the China Health and Retirement Longitudinal Study between 2015 and 2018. We first examined a simple mediation model where depressive symptoms were a mediator between social participation and activity impairment. Furthermore, sex was systematically integrated into the model as a moderator. The mediation model and moderated mediation model were analyzed using PROCESS macro. RESULTS: Mediation analysis revealed that the association between social participation and activity impairment was partially mediated by depressive symptoms (B = -0.10, 95% CI = [-0.14, -0.06]) with intermediary effect of 28.6%. Moderated mediation analysis indicated that mediation model was moderated by sex. The indirect effect of social participation on activity impairment among female patients (B = -0.15, 95% CI = [-0.21, -0.09]) was stronger than male patients (B = -0.04, 95% CI = [-0.09, -0.01]). CONCLUSION: Social participation was the key protective factor associated with depressive symptoms and activity impairment among arthritis patients. Encouraging arthritis patients to social participation and improving the depressive symptoms might avoid activity impairment, especially for female patients.

The association between team cohesion and performance: A network analysis of nurses.

Team cohesion, as a necessary condition for the cooperation and development of a team, has been shown to have a strong association with team performance. However, the mechanism of this internal correlation is unclear and more in-depth studies are lacking. The study aimed to explore the complex links between the dimensions of team cohesion and performance in nurses. A total of 1639 practice nurses from 118 nursing teams were included in this cross-sectional study. Data were collected using the Team Cohesion Scale (including consistency of affection, behavior, and cognition) and the Team Effectiveness Scale (including cooperation satisfaction, and task performance). Using network analysis, the team cohesion and performance network was constructed, and the strength and bridge strength of nodes were calculated. The results showed that the edges between team cohesion and performance dimensions were all positively correlated. Cooperation satisfaction and consistency of affection are the core variables in the network. Interventions targeting cooperation satisfaction and consistency of affection need to be developed at the team level to maximize team cohesion and performance among nurses.

Network Analysis on Family Resilience, Fear of Progression, and Quality of Life in Chinese Patients with Pulmonary Hypertension.

BACKGROUND: The long-term quality of life of Chinese patients with pulmonary hypertension has been seriously compromised. Interventions to enhance patient quality of life of are urgently required. OBJECTIVE: To investigate the relationship between quality of life and its influencing factors in patients through network analysis. METHOD: 247 patients with pulmonary hypertension in 3 hospitals in Jinan, Shandong Province, self-reported their immediate family resilience, fear of progression, and quality of life via questionnaires. A mixed graphical model was constructed to investigate the relationship among multidimensional structures of variables. RESULTS: A total of 247 patients (173 female and 74 male) were included (age 18-34, n=115; age 35-49, n=99; age 50-64, n=23; age > 65 years, n=10). "Family communication and problem solving" was at the center of the network, with serving as a bridge node. Within communities, the strongest edge was "Family communication and problem solving-maintaining a positive outlook." Across communities, the strongest edge between family resilience and quality of life was "Family communication and problem solving-environmental domain quality of life," and the strongest edge across the fear of progression and quality of life was "physiological health fear-psychological domain quality of life." CONCLUSIONS: Family resilience and fear of progression may affect the quality of life in patients with pulmonary hypertension. Developing a program with "family communication and problem solving" as a primary target may reduce patient fear of progression, enhance family resilience, and improve patient quality of life.

Prevalence and influencing factors of frailty in older patients with diabetes in China: a system review and meta-analysis.

Background and aims: To systematically evaluate the relevant literature to explore the prevalence and influencing factors of frailty in older patients with diabetes in China. Methods: Cochrane Library, PubMed, Embase, Medline, CINAHL, Scopus, Proquest Central, Web of Science, SinoMed, CNKI, VIP and Wan fang Databases were searched to collect Chinese and English literatures about frailty in older diabetic patients. RevMan 5.4 software was used to extract data for systematic review. Results: Seventeen studies involving 23,070 older patients with diabetes were included. The results showed that the prevalence of frailty in older Chinese diabetic patients was 30%. The main influencing factors were HbA1c level, number of complications, age, depression, exercise, and nutritional status. Conclusion: The prevalence of frailty in Chinese elderly diabetic patients is high and there are many influencing factors. However, the quality of relevant literature is general and the number is limited, so high-quality prospective studies should be carried out in the future to further verify the conclusions.

The mediating effects of social support and depressive symptoms on activities of daily living and social frailty in older patients with chronic heart failure.

OBJECTIVES: To investigate the level of social frailty (SF) in older patients with chronic heart failure (CHF) and examine the mediating role of social support and depressive symptoms between activities of daily living and SF. METHODS: Using a convenience sampling method, 205 older patients with CHF were recruited from China between November 2021 and May 2022. Activities of daily living, social support, depressive symptoms, and SF were assessed using a self-administered questionnaire. Data were analyzed using structural equation modeling. RESULTS: The final model obtained a good fit. Activities of daily living in older patients with CHF were directly related to SF. The multiple mediation analysis revealed that the relationship between activities of daily living and SF was mediated by social support (effect: -0.010, 95% CI [-0.021, -0.003]) and depressive symptoms (effect: -0.011, 95% CI [-0.019, -0.005) separately, and serially (effect: -0.007, 95% CI [-0.012, -0.003). CONCLUSIONS: Social support and depressive symptoms are multiple mediating variables in the relationship between activities of daily living and SF. Activities of daily living can improve patients' SF through social support and depressive symptoms.

Relationship between quality of life, fear of disease progression, and coping styles in patients with pulmonary hypertension: A network analysis.

A poor quality of life (QoL) in patients with pulmonary hypertension (PH) is often associated with emotional disturbances and the ability to cope. Little is known, however, about the intrinsic links among the QoL, fear of disease progression (FoP), and coping styles in patients with PH. The purpose of this study was to elucidate the relationships among QoL, FoP, and coping styles in patients with PH. We conducted a cross-sectional survey of 247 patients from a tertiary hospital in Jinan, China and analyzed the relationships using network analysis. Participants completed the World Health Organization's Quality of Life Questionnaire, Fear of Disease Progression Questionnaire and Simple Coping Style Questionnaire during the survey period. The total QoL, positive coping, and negative coping scores were 46.55 ± 10.46, 31.75 ± 6.85, and 18.75 ± 4.66, respectively. The QoL psychological domain had the strongest centrality, deserving more attention than other domains. The coping styles were bridge nodes that connected the whole network, where negative coping and social family FoP, and positive coping and both social and psychological QoL had the strongest positive correlations. There were no significant sex-based or age-based differences in the networks. To improve QoL and psychological well-being in people with PH, healthcare professionals must focus on issues beyond the patient's physical health. Specifically, they should focus on positive coping styles, while developing interventions to promote positive coping and reduce negative coping styles.

Effect of Exercise Rehabilitation in Patients With Acute Heart Failure: A Systematic Review and Meta-analysis.

BACKGROUND: Exercise rehabilitation is conducive to increasing functional ability and improving health outcomes, but its effectiveness in patients with acute heart failure (AHF) is still controversial. PURPOSE: In this study, our aim was to systematically examine the efficacy of exercise rehabilitation in people with AHF. METHODS: A search was conducted for randomized controlled trial studies on exercise rehabilitation in patients with AHF up to November 2021. Two investigators conducted literature selection, quality assessments, and data extractions independently. The primary outcome was 6-minute walk distance, and the secondary outcomes were left ventricular ejection fraction, quality of life, Short Physical Performance Battery, readmission, and mortality. RevMan (version 5.3) software was used for the meta-analysis. RESULTS: Twelve studies with 1215 participants were included. Exercise rehabilitation significantly improved the 6-minute walk distance (mean difference [MD], 33.04; 95% confidence interval [CI], 31.37-34.70; P < .001; I2 = 0%), quality of life (MD, -11.57; 95% CI, -19.25 to -3.89; P = .003; I2 = 98%), Short Physical Performance Battery (MD, 1.40; 95% CI, 1.36-1.44; P < .001; I2 = 0%), and rate of readmission for any cause (risk ratio, 0.48; 95% CI, 0.26-0.88; P = .02; I2 = 7%), compared with routine care. However, no statistically significant effects on left ventricular ejection fraction (MD, 0.94; 95% CI, -1.62 to 3.51; P = .47; I2 = 0%) and mortality (risk ratio, 1.07; 95% CI, 0.64-1.80; P = .79; I2 = 0%) were observed. CONCLUSIONS: Compared with routine care, exercise rehabilitation improved functional ability and quality of life, reducing readmission in patients with AHF.

Heterogeneous trajectories of kinesiophobia and their effects on rehabilitation outcomes after total knee arthroplasty: a prospective cohort study.

BACKGROUND: Kinesiophobia is one of the most common and aversive psychological phenomena among patients after total knee arthroplasty (TKA). This study aimed to identify trajectories of kinesiophobia, examine factors distinguishing these trajectories, and clarify the association between trajectories of kinesiophobia and rehabilitation outcomes. METHODS: In this prospective cohort study, the patients who underwent TKA were recruited between December 2021 and April 2022 from three orthopedic wards of a tertiary hospital in China. Kinesiophobia was measured using the Tampa Scale for Kinesiophobia at baseline (T0), and then at 1 month (T1) and 3 months (T2) after TKA to perform latent class growth analysis. Meanwhile, rehabilitation outcomes were assessed at 3 months after TKA, using the Kessler Psychological Distress Scale, the Hospital for Special Surgery-Knee Scale, Barthel Index, and the Impact on Participation and Autonomy questionnaire. RESULTS: The four kinesiophobia trajectories identified were as follows: low stable group (n = 120), rapid recovering group (n = 31), slow recovering group (n = 48), and stable moderate group (n = 58). Body mass index, employment status, heart disease, and pain degree significantly predicted trajectory groups (all p < 0.05). Analysis of variance revealed significant differences between the four kinesiophobia trajectories concerning all rehabilitation outcomes, except for the activities of daily living. CONCLUSION: Distinct kinesiophobia trajectories were identified, and nurses should assess the kinesiophobia of patients after TKA in the early phase. Patients in the slow recovering group are worthy of a specific focus because of their poor recovery after undergoing TKA. As important sources of psychosocial care, nurses need to customize psychological interventions for patients after TKA depending on each kinesiophobia trajectory.

Construction and Validation of Machine Learning Algorithms to Predict Chronic Post-Surgical Pain Among Patients Undergoing Total Knee Arthroplasty.

BACKGROUND: Chronic post-surgical pain (CPSP) is a common but undertreated condition with a high prevalence among patients undergoing total knee arthroplasty (TKA). An effective model for CPSP prediction has not been established yet. AIMS: To construct and validate machine learning models for the early prediction of CPSP among patients undergoing TKA. DESIGN: A prospective cohort study. PARTICIPANTS/SUBJECTS: A total of 320 patients in the modeling group and 150 patients in the validation group were recruited from two independent hospitals between December 2021 and July 2022. They were followed up for 6 months to determine the outcomes of CPSP through telephone interviews. METHODS: Four machine learning algorithms were developed through 10-fold cross-validation for five times. In the validation group, the discrimination and calibration of the machine learning algorithms were compared by the logistic regression model. The importance of the variables in the best model identified was ranked. RESULTS: The incidence of CPSP in the modeling group was 25.3%, and that in the validation group was 27.6%. Compared with other models, the random forest model achieved the best performance with the highest C-statistic of 0.897 and the lowest Brier score of 0.119 in the validation group. The top three important factors for predicting CPSP were knee joint function, fear of movement, and pain at rest in the baseline. CONCLUSIONS: The random forest model demonstrated good discrimination and calibration capacity for identifying patients undergoing TKA at high risk for CPSP. Clinical nurses would screen out high-risk patients for CPSP by using the risk factors identified in the random forest model, and efficiently distribute preventive strategy.

Construction of a clinical nursing pathway for acute paraquat poisoning: Evidence-based research.

Aim: This study used the Delphi method and clinical expert discussions to develop an acute paraquat poisoning clinical nursing pathway to standardize acute paraquat poisoning nursing care. Background: In clinical practice, especially in basic-level hospitals, there is no unified standard pattern of treatment and nursing care for patients with paraquat poisoning. Methods: An extensive literature search was used to gather current clinical guidelines for treating paraquat poisoning which were then compiled into a Delphi expert letter of inquiry questionnaire which was sent to a panel of 12 experts. Results: A preliminary draft of the clinical nursing pathway table for acute paraquat poisoning with a standard hospitalization period of 21 days was established, with 6, 23, and 152 classes and I, II, and III indicators determined. The clinical nursing pathway table reduced the randomness of work, avoided nursing interruptions or omissions caused by negligence, and simplified the writing of nursing documents. Conclusions: The clinical nursing pathway can promote and improve the nursing care quality and management efficiency and has good clinical application value.

A novel nomogram for predicting risk of malnutrition in patients with heart failure.

Background and aims: This study aimed to explore the risk factors of malnutrition in patients with heart failure and construct a novel nomogram model. Methods and results: A cross-sectional study based on the STROBE checklist. Patients with heart failure from July 2020 to August 2021 were included. Patients were divided into a malnutrition group and a normal nutrition group based on the Society's recommended AND-ASPEN standard. Logistic regression was used to analyze the independent risk factors for malnutrition. A new prediction model of nomogram was constructed based on the risk factors, and its fit and prediction performance were evaluated. Of 433 patients, 66 (15.2%) had malnutrition and 367 (84.8%) had normal nutrition, Logistic regression analyses showed that the risk factors for malnutrition were total protein, hemoglobin, triglyceride, and glucose levels. The regression model based on the above four variables showed an area under the curve of 0.858. The novel nomogram model had a sensitivity of 78.5% and a specificity of 77.3%. After 2000 bootstrap resampling iterations, AUC was 0.852. Conclusions: The novel nomogram model can predict the odds of malnutrition in patients with heart failure at the early stage of admission, and can provide a reference for nursing staff to optimize nutritional care for inpatient with heart failure and to develop a discharge nutritional care plan.

Prevalence of cognitive frailty among older adults in China: a systematic review and meta-analysis.

OBJECTIVE: This study aimed to investigate the prevalence of cognitive frailty among older adults in China. DESIGN: Systematic review and meta-analysis. METHODS: We searched the Cochrane Library, PubMed, Web of Science, Embase, China National Knowledge Infrastructure(CNKI), Wanfang, Chinese Biomedical Literature and Weipu (VIP) databases to collect information on the epidemiology of cognitive frailty among older adults in China. The study period was from the establishment of the database to March 2022. Two researchers independently screened the literature, extracted the data and assessed the risk of bias in the included studies. All statistical analyses were performed using Stata V.15.0. RESULTS: We screened 522 records, of which 28 met the inclusion criteria. The results of the meta-analysis showed that the prevalence of cognitive frailty among older adults in China was 15%(95%CI (0.13%,0.17%)). The prevalence of cognitive frailty was higher in hospitals and nursing homes than in communities. Moreover, the prevalence of cognitive frailty was higher in women than in men. Furthermore, the prevalence rates of cognitive frailty in North China Hospital, older adults aged≥80 years, and illiterate individuals were 25%, 29%, and 55%, respectively. CONCLUSIONS: In conclusion, in China, the prevalence of cognitive frailty is higher among older adults, is higher in women than in men, is higher in hospitals and nursing homes than in communities, and is higher in North China than other regions. Moreover, the higher the educational level, the lower the prevalence of cognitive frailty. Multimodal interventions for cognitive frailty, including increased exercise, nutritional support, increased socialisation opportunities and multifactorial strategies, may be effective in preventing cognitive frailty. These findings have important implications for adjusting healthcare and social care systems. PROSPERO REGISTRATION NUMBER: CRD42023390486.

Current status and influencing factors of spiritual needs of patients with advanced cancer: a cross-sectional study.

BACKGROUND: Spiritual needs have been associated with better physical health outcomes and provide a context for patients to gain hope and significance in coping with disease. This study aimed to understand the status of spiritual needs of patients with advanced cancer and conducted a quantitative study on the relationship between patient-reported physical, psychological, and social influencing factors and spiritual needs based on a biopsychosocial-spiritual model. METHODS: In this study, 200 oncology inpatients from Shandong Province were recruited using a convenience sampling method to conduct a cross-sectional survey using general data from December 2020 to June 2022. Correlation analysis was used to analyze the correlation between spiritual needs and cancer-related fatigue, anxiety and depression, the family care index, and social support. Multiple regression analysis was used to analyze the relationship between spiritual needs and the influencing factors. RESULTS: The spiritual needs score of the patients with advanced cancer was high. Multiple regression analysis revealed that cancer-related fatigue, social support, and religious beliefs influenced the spiritual needs of patients with advanced cancer. Compared with married patients, widowed or divorced patients scored 8.531 points higher on spiritual needs. Cancer-related fatigue, social support, religious beliefs, and marital status (divorced or widowed) explained 21.4% of the total variation in the spiritual needs of patients with advanced cancer. CONCLUSION: The spiritual needs of patients with advanced cancer were significantly correlated with cancer-related fatigue, depression, social support, and other factors. Religious beliefs, marital status, cancer-related fatigue, and social support were the main factors influencing the spiritual needs of patients with advanced cancer. This is a quantitative study, and medical staff can provide targeted spiritual care for patients with cancer based on the above influencing factors.

The association between team resilience and team performance in nurses during COVID-19 pandemic: a network analysis.

BACKGROUND: Compared to other healthcare workers, nurses are more vulnerable to the potentially devastating effects of pandemic-related stressors. Studies have not yet investigated the deeper characteristics of the relationship between team resilience and team performance among nurses during the COVID-19 pandemic. This study aimed to elucidate the characteristics of team resilience and performance networks among nurses during the pandemic. METHODS: A cross-sectional study involving 118 nursing teams comprising 1627 practice nurses from four tertiary-A and secondary-A hospitals in Shandong Province, China, was conducted. Analyzing and Developing Adaptability and Performance in Teams to Enhance Resilience Scale and the Team Effectiveness Scale were used to measure team resilience and performance, respectively. The estimation of the network model and calculation of related metrics, network stability and accuracy, and network comparison tests were performed using R 4.0.2. RESULTS: Node monitoring had the highest centralities in the team resilience and performance network model, followed by node anticipation, cooperation satisfaction, and cooperation with other departments. Moreover, node cooperation satisfaction and learning had the highest levels of bridge centrality in the entire network. CONCLUSION: Monitoring, anticipation, cooperation satisfaction, cooperation with other departments, and learning constituted core variables maintaining the team resilience-performance network structure of nurses during the pandemic. Clinical interventions targeting core variables may be effective in maintaining or promoting both team resilience and performance in this population.

Longitudinal Trajectories of Depressive Symptoms Among Patients With Knee Osteoarthritis: The Role of Pain Intensity.

BACKGROUND: Pain is the primary symptom of knee osteoarthritis (KOA), significantly associated with depressive symptoms. Whether the early pain intensity could distinguish different trajectories of depressive symptoms is not well understood among patients with KOA. AIMS: To identify heterogeneous depressive symptoms trajectories among patients with KOA, and investigate the association between depressive symptoms subgroups and pain intensity. DESIGN: Secondary analysis of a cohort sample. SETTING: Three waves of data from the China Health and Retirement Longitudinal Study was collected in 28 provinces across China. PARTICIPANTS: 702 patients with KOA aged ≥ 45 years completed the Center for Epidemiologic Studies Depression Scale biennially from 2011 to 2015. METHODS: Latent class growth analysis was performed to identify the optimal trajectory shape and number of classes. Multinomial logistic regression analysis was conducted to compare pain intensity across the trajectories. RESULTS: Four distinct trajectories were identified as follows: no depressive symptoms, highly stable, decreasing, and increasing. In multivariate analysis, compared with the "no depressive symptoms" class, patients in the "highly stable" class and "increasing" class were more likely to report moderate pain (p < 0.05) and severe pain (p < 0.05). In addition, there was no significant difference in pain intensity between "no depressive symptoms" class and "decreasing" class (p > 0.05). CONCLUSIONS: These results suggest important heterogeneity in depressive symptom trajectories among patients with KOA. Pain intensity could predict different depressive symptom trajectories in patients with KOA. Efforts to improve the depressive symptoms in patients with KOA must incorporate strategies to address pain.

Comparing the application of three thrombosis risk assessment models in patients with acute poisoning: A cross-sectional survey.

Background: Patients with acute toxic hemoperfusion are prone to deep vein thrombosis. However, there is no risk assessment model for thrombosis in patients with acute toxic hemoperfusion. Therefore, we compared three commonly used risk assessment models for deep vein thrombosis to determine the model most suitable for assessment of deep vein thrombosis in patients with acute toxic hemoperfusion. Methods: Caprini, Autar, and Padua thrombosis risk assessment models were used to assess the risk of deep vein thrombosis in patients with acute poisoning and hemoperfusion admitted to a grade A hospital in Shandong province from October 2017 to February 2019. The predictive values of the three models were compared using receiver operating characteristic (ROC) curve analysis. Results: The risk assessment model scores of Caprini, Autar, and Padua were 7.55 ± 1.76, 8.63 ± 2.36, and 3.92 ± 0.55, respectively. The Caprini risk assessment model was significantly different (p < 0.05) in high-risk patients in the thrombus and non-thrombotic groups; the difference between the other two models was not significant (p > 0.05). The areas under the ROC curve of the Caprini, Autar, and Padua risk assessment models were 0.673, 0.585, and 0.535, respectively. The difference in areas under the ROC curve between the Caprini risk assessment model and the Autar risk assessment model as well as the Padua risk assessment model was significant (p < 0.05), but the areas under the ROC curve of the Autar risk assessment model and the Padua risk assessment model were not statistically significant (p > 0.05). The Caprini risk assessment model had a sensitivity of 91.9%, specificity of 33.1%, and a Youden index of 0.249. The sensitivity and specificity of Autar's risk assessment model were 37.0 and 77.2%, respectively, and the Youden index was 0.141. The Padua risk assessment model had a sensitivity of 91.3%, specificity of 15.0%, and a Youden index of 0.063. Conclusion: The three thrombosis risk assessment models were not suitable for patients with acute poisoning and hemoperfusion.

Design and Application of Health Education Apps Based on WeChat for Self-Management among Patients.

Background: We started to design and test health education Apps for self-management among patients to provide a rich source of clinical support and information for patients to increase their ability of self-management. Methods: First, a multidisciplinary research team worked together to design and conduct the research. With their help, we redesigned an apps to incorporate some personalized changes for patients' needs. Second, we chose a questionnaire from the Comprehensive Service Platform for the Elderly self-designed by CHENYu. Finally, a purposive sample of 34 users were tested experiences and satisfaction of users in Jul 2021. Results: This research was successfully conducted in 22 wards among 23159 patients and 40440 chapters about healthy information sent to patients from Mar 2019 to January 2021 by smartphone. The data showed that 91.2% of participants resolved that the evaluation effect of the proposed application was better, in comparison with the paper version as routine verbal instruction. Additionally, 85.3% of participants wanted to continue to receive medical education information after discharge from the hospital. The top four most popular medical education information that they would like to receive included drug administration, disease prevention, nursing, and home care. Moreover, the top four most popular types of user suggestions were one-on-one online Q & A, continue to see every session, accelerate the speed of browsing and page updated, and free Wifi. The user satisfaction of the application was considerably high. Conclusion: The apps was welcomed by patients who wanted to increase their knowledge level of disease and perform self-management better.