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Total knee arthroplasty (TKA) is considered a common surgical option in patients with end-stage osteoarthritis of the knee. This systematic review and meta-analysis aimed to determine the effectiveness of cognitive behavioral therapy (CBT) for patients after TKA. PubMed, EMBASE, the Cochrane Library, Web of Science and CINAHL were searched for randomized controlled trials (RCTs) from inception to 20 August 2021. Included studies were evaluated with the Cochrane risk-of-bias tool. Six RCTs were included. Our study results demonstrated that a significant reduction in pain catastrophing was seen in patients receiving CBT at post-intervention (SMD −0.48, 95% CI = −0.72 to −0.23, I2 17.2%, p = 0.00) but not in 3-month or 12-month follow-up. There were no significant differences between CBT and usual-care patients regarding pain intensity or knee function at different time-points. This is the first time that meta-analysis has been conducted to determine the effectiveness of CBT for patients after TKA. It is necessary to conduct longer follow-ups, include larger samples and conduct rigorous RCTs to further explore this issue. [ABSTRACT FROM AUTHOR]

To examine the association between cognitive frailty and the risk of future falls among older adults. Systematic review and meta-analysis. Older people aged ≥60 years with cognitive frailty from community, hospital, or both. PubMed, EMBASE, Web of Science, the Cochrane Library, Wanfang Database, China Knowledge Resource Integrated Database (CNKI), Weipu Database (VIP), and Chinese Biomedical Database (CBM) were searched for relevant studies published from the inception of the database until June 14, 2022. Stata 16.0 software was used to perform the meta-analysis. A random effects model was used to pool the prevalence of falls in older adults over age 60 years with cognitive frailty and the strength of the association between cognitive frailty and falls [odds ratios (ORs) and 95% CIs]. Quality assessment, heterogeneity, and sensitivity analyses were also conducted. A study protocol was registered in PROSPERO (CRD42022331323). The review included 18 studies in qualitative synthesis, 14 of which were in meta-analysis. Eleven sets of cross-sectional data involving 23,025 participants and 5 sets of longitudinal data involving 11,924 participants were used in the meta-analysis. The results showed that the overall prevalence of falls in 1742 people with cognitive frailty was 36.3% (95% CI 27.9-44.8, I 2 = 93.4%). Longitudinal study results showed that cognitively frail individuals had a higher risk of falls (OR 3.02, 95% CI 2.11-4.32, I 2 = 0.0%, P =.406), compared to robust participants without cognitive impairment; physically frail people (alone) had a moderate risk of falls (OR 2.16, 95% CI 1.42-3.30, I 2 = 9.7%, P =.351); cognitively impaired people (alone) had a lower risk of falls (OR 1.36, 95% CI 1.03-1.79, I 2 = 0.0%, P =.440). Among cross-sectional studies, cognitive frailty was associated with the risk of falls (OR 2.74, 95% CI 2.20-3.40, I 2 = 53.1%, P =.019). Although high heterogeneity was noted among 11 cross-sectional studies reporting ORs, the sensitivity analysis showed that no single study significantly affected the final pooled results. This systematic review and meta-analysis confirms the findings that cognitive frailty was demonstrated to be a significant predictor of future falls in older adults. However, further prospective investigations are warranted. [ABSTRACT FROM AUTHOR]

Background: Several factors are associated with the incidence of burnout, including alexithymia, social support, and depression. The relative importance of these three key parameters as mediators of burnout, however, is not well understood. In addition, there have been few studies to date specifically examining the association between alexithymia and burnout among nurses in China. Purpose: To evaluate the relationship of burnout with alexithymia, social support, and depression across emergency department nurses in China. Methods: This descriptive, cross-sectional survey was conducted using a convenience sampling methodology to survey nurses responsible for direct emergency care (n = 413) from 18 tertiary hospitals in Western, Eastern, Northern, and Southern China between May 2020 and June 2020. A structural equation modeling approach was then used to assess a hypothetical model wherein alexithymia both directly and indirectly affects burnout among emergency nurses via impacting the incidence of depression and perceived social support. Results: Results supported all driving hypotheses. Alexithymia was positive direct correlated with burnout (β = 0.35; P < 0.001) and depression (β = 0.50; P < 0.001), and exhibited a negative direct effect on social support (β = − 0.14; P = 0.041). Depression was associated with burnout, both directly (β = 0.24; P < 0.001) and indirectly (β = 0.15; P < 0.001) through its relationship with social support. Alexithymia was the factor most strongly associated with burnout, and it was able to affect burnout indirectly through depression and social support. Conclusions: We found that among emergency nurses in China, alexithymia was correlated with burnout, depression, and social support. Alexithymia was the factor most strongly associated with burnout. These data suggest that providing better social support and alleviating alexithymia may decrease rates of burnout among emergency nurses. [ABSTRACT FROM AUTHOR]

Aims and Objectives: This study aimed to understand the risk factors that contribute to medical device‐related (MDR) nasal mucosal membrane pressure injuries (MM PI) in ICU patients. Background: ICU patients require substantial tube‐based life support such as oxygen tubes, tracheal intubation and indwelling gastric tubes. As a result, there is an increased risk of PI occurrence; however, few studies have assessed the risk factors associated with nasal mucosal MDR‐MMPI in ICU patients. Design: A cross‐sectional study design was performed. Methods: From January 2019 to June 2020, data from 912 patients treated in the ICU of a tertiary first‐class a hospital in China were collected. The occurrence of PI of the nasal mucosa was obtained by nasopharyngoscope when replacing the nasal catheter fixation patch every day. The study methods were followed by the STROBE guidelines. Results: The incidence of nasal mucosal MDR‐MM PI was 10.9%. The degree of nasal mucosal MM PI was mainly grade 1 (62cases, 62.6%), and no grade 4 were observed. The columella (58 cases, 58.6%) was the most common site of nasal mucosal MM PI followed by the anterior septum (18 cases, 18.2%). A high patient APACHE‐Ⅱ score, the disturbance of consciousness, a history of diabetes, days of gastric tube indwelling, hypoproteinemia, fever (T > 37.5℃) and the use of vasoconstrictors were identified as significant influencing factors of nasal MM PI in ICU patients (p <.05). Conclusions: A high APACHE‐Ⅱ score, disturbance of consciousness, history of diabetes, days of gastric tube indwelling, hypoproteinemia, fever (T > 37.5℃) and use of vasoconstrictive drugs were risk factors for nasal mucosal MDR‐MM PI in ICU patients. This study informs on the risk factors of nasal mucosal MM PI that will allow medical support staff to carry out key interventional measures to prevent nasal mucosal MM PI. Relevance to clinical practice: This study illustrates the characteristics and risk factors of nasal mucosal pressure injury in intensive care units, potentially contributing to the prevention of the incidence of nasal mucosal MDR‐PI in ICU patients. [ABSTRACT FROM AUTHOR]

Background: The first step in preventing pressure injuries (PIs), which represent a significant burden on intensive care unit (ICU) patients and the health care system, is to assess the risk for developing PIs. A valid risk assessment scale is essential to evaluate the risk and avoid PIs. Objectives: To compare the predictive validity of the Braden scale and Waterlow scale in ICUs. Design: A multicentre, prospective and cross‐sectional study. Methods: We conducted this study among 6416 patients admitted to ICUs in Gansu province of China from April 2021 to October 2022. The incidence and characteristics of PIs were collected. The risk assessment of PIs was determined using the Braden and Waterlow scale. The sensitivity, specificity, positive and negative predictive values, and the area under the receiver operating characteristic curve of the two scales were compared. Results: Out of 5903 patients, 72 (1.2%) developed PIs. The sensitivity, specificity, positive and negative predictive, and the area under the curve of the Braden scale were 77.8%, 50.9%, 0.014 and 0.996, and 0.689, respectively. These values for the Waterlow scale were 54.2%, 71.1%, 0.017, 0.994 and 0.651. Conclusions: Both scales could be used for risk assessment of PIs in ICU patients. However, the accuracy of visual inspection for assessment of skin colour, nursing preventive measures for patients and scales inter‐rater inconsistency may limited the predictive validity statistics. Relevance to Clinical Practice: Both scales could be used for PIs risk assessment. The low specificity of the Braden scale and low sensitivity of the Waterlow scale remind medical staff to use them in combination with clinical judgement and other objective indicators. Patient or Public Contribution: This study was designed to enhance the management of PIs. Patients and the general public were not involved in the study design, analysis, and interpretation of the data or manuscript preparation. [ABSTRACT FROM AUTHOR]

• This study provides the latest evidence on the level of life space mobility of community elderly people. • The life space mobility of community elderly people is at a moderate level globally, with 42% of them living in a state of restricted life space. • The level of life space mobility among community elderly people gradually achieved stability after 2017. • South America, females and earlier survey years have a lower level of LSM. Multiple countries have conducted surveys on the level of life space mobility for community-dwelling elderly through the Life-Space Assessment, the results vary greatly, from 41.7 to 88.6. However, there is no meta-analysis on the current situation of community-dwelling elderly life space mobility. To systematically assess the global level of life space mobility for community-dwelling elderly, to identify potential covariates such as geographical regions, survey years, gender, and age that contribute to the heterogeneity between the studies, and to identify the dynamic trend based on survey years. Systematic review and meta-analysis. Two reviewers searched the following 8 electronic bibliographic databases from inception until May 28, 2023: PubMed, The Cochrane Library, Web of Science, Embase, Chinese Biomedical Database, China Knowledge Resource Integrated Database, WanFang, and Weipu Database. This review was conducted using the Stata 14.1 and R 4.3.1. The Cochrane's Q statistical and I2 index were used to test for heterogenicity and assess the degree of heterogenicity, respectively. Studies were appraised using the Agency for Healthcare Research and Quality tool, the Newcastle-Ottawa Scale for the quality of cross-sectional studies, cohort studies, respectively. A total of 29 studies were selected from databases and reference lists. The pooled score of Life-Space Assessment was 66.84 (95% CI: 63.30–70.39) and the prevalence of restricted life space was 42% (95% CI: 0.27–0.57). The geographical regions, survey years, gender were found to be a significant covariate of the pooled score of life space mobility estimate in the subgroup analysis. The mean score of Life-Space Assessment gradually achieved stability after 2017. The life space mobility of community-dwelling elderly in the global is at a moderate level, with 42% of them experiencing restricted life space. South America, females and earlier survey years have a lower level of life space mobility. In the future, the government should identify vulnerable groups for targeted intervention to promote the level of LSM in the community-dwelling elderly. PROSPERO [CRD42023443054]. [ABSTRACT FROM AUTHOR]

To critically appraise and quantify the performance studies by employing machine learning (ML) to predict delirium. A systematic review and meta-analysis. Articles reporting the use of ML to predict delirium in adult patients were included. Studies were excluded if (1) the primary goal was only the identification of various risk factors for delirium; (2) the full-text article was not found; and (3) the article was published in a language other than English/Chinese. PubMed, Embase, Cochrane Library database, Web of Science, Grey literature, and other relevant databases for the related publications were searched (from inception to December 15, 2021). The data were extracted using a standard checklist, and the risk of bias was assessed through the prediction model risk of bias assessment tool. Meta-analysis with the area under the receiver operating characteristic curve, sensitivity, and specificity as effect measures, was performed with Metadisc software. Cochran Q and I 2 statistics were used to assess the heterogeneity. Meta-regression was performed to determine the potential effect of adjustment for the key covariates. A total of 22 studies were included. Only 4 of 22 studies were quantitatively analyzed. The studies varied widely in reporting about the study participants, features and selection, handling of missing data, sample size calculations, and the intended clinical application of the model. For ML models, the overall pooled area under the receiver operating characteristic curve for predicting delirium was 0.89, sensitivity 0.85 (95% confidence interval 0.84‒0.85), and specificity 0.80 (95% confidence interval 0.81–0.80). We found that the ML model showed excellent performance in predicting delirium. This review highlights the potential shortcomings of the current approaches, including low comparability and reproducibility. Finally, we present the various recommendations on how these challenges can be effectively addressed before deploying these models in prospective analyses. [ABSTRACT FROM AUTHOR]