Conectar
To analyse current Glasgow Coma Scale practice among emergency nurses in China and identify factors influencing assessment quality.
A quantitative, multicenter cross-sectional design.
A convenience sample of 1740 emergency nurses from secondary and tertiary hospitals across 21 provinces completed a validated structured questionnaire between March and April 2025. Participants had at least 6 months of emergency nursing experience. Data analysis included descriptive statistics, chi-square tests, and multiple logistic regression to examine factors influencing correct Glasgow Coma Scale application.
Participants had a mean age of 29.8 years (SD = 6.2). Only 52.5% of nurses demonstrated correct Glasgow Coma Scale application despite 97.0% having theoretical knowledge of scoring criteria. While 56.8% had received Glasgow Coma Scale training, significant standardisation deficiencies emerged. Notably, 41.8% of departments lacked operational guidelines, and 53.7% of nurses experienced scoring disagreements with colleagues. Clinical utilisation varied substantially by patient population: traumatic brain injury (97.8%), neurological diseases (96.9%), and systemic critical illness (85.8%). Multivariate analysis identified six significant factors influencing correct application: standardised training (OR = 2.252, 95% CI: 1.789–2.825), manageable workload ≤ 4 patients/shift (OR = 1.652, 95% CI: 1.327–2.057), departmental guidelines (OR = 1.523, 95% CI: 1.233–1.881), extensive work experience ≥ 9 years (OR = 1.534, 95% CI: 1.182–1.992), while multidisciplinary collaboration issues (OR = 0.559, 95% CI: 0.439–0.712) and special patient experience (OR = 0.520, 95% CI: 0.406–0.666) were associated with reduced accuracy.
Substantial standardisation challenges exist in Glasgow Coma Scale practice among Chinese emergency nurses, characterised by significant gaps between theoretical knowledge and clinical application. Major barriers include insufficient standardised guidelines, inconsistent training approaches, and inadequate interdisciplinary collaboration.
Healthcare administrators should develop national standardised guidelines, implement simulation-based training programs, optimise emergency workflows, and integrate alternative assessment tools to enhance consciousness assessment accuracy and improve patient safety.
STROBE statement adherence.
No patient or public contribution.
To identify distinct social network types among young-old adults based on the characteristics of social network structure and to explore the relationship between different types, socio-demographic characteristics and subjective cognitive decline.
A cross-sectional study was conducted from July 2022 to October 2023.
A total of 652 young-old adults aged 60–74 years completed the sociodemographic questionnaire, the subjective cognitive decline questionnaire-9 and the self-designed egocentric social network questionnaire. The types of social networks were identified by latent profile analysis. Univariate analysis and binary logistic regression were used to analyse the influencing factors of subjective cognitive decline.
The incidence of subjective cognitive decline was 38%. Social networks of young-old adults tended to be large, predominantly family-centred and characterised by strong contact strength, high density and significant demographic heterogeneity among network members. Four social network types were identified: diverse-moderate, family-dense, family-strong and friend-loose. Young-old adults embedded in the family-dense and family-strong types were more likely to develop subjective cognitive decline than those in the diverse-moderate type. Additionally, age, education level, previous occupation, daily sleep duration and exercise were related to the incidence of subjective cognitive decline.
The findings highlight the relatively high incidence of subjective cognitive decline in young-old adults that is notably influenced by the type of social network they are embedded in. More attention needs to be paid to identifying and supporting young-old adults at high risk of subjective cognitive decline, especially to promote their social integration and friend network building, to improve their subjective cognitive function.
The findings emphasise the importance of considering the structure and composition of social networks when addressing subjective cognitive decline among young-old adults. A diversified social network incorporating both familial and friendship ties may provide enhanced cognitive protection. Therefore, interventions targeting subjective cognitive decline should promote the expansion of friendship-based relationships and foster the development of more heterogeneous and multi-source networks.
STROBE checklist.
Not applicable.
Post-chronic pancreatitis (CP) diabetes mellitus (PPDM-C) is a distinct form of diabetes, in which complex pathogenesis hampers adequate glycaemic control. This study aimed to identify risk factors for poor glycaemic status in PPDM-C to guide clinical management.
Cross-sectional study.
Shanghai, China.
Between January 2018 and March 2023, 1677 patients with CP were enrolled in the CP database of the National Clinical Research Center. After application of strict exclusion criteria, 302 patients diagnosed with PPDM-C were included in the study.
The primary outcome was glycaemic control. The secondary outcomes were factors that affect glycaemic control among patients with PPDM-C.
This retrospective study was conducted in patients with PPDM-C. Poor glycaemic status was defined as a glycated haemoglobin A1c level of >7% at admission. Patients were stratified into those with and without diabetes treatment. Multivariate logistic regression was performed to identify risk factors. The area under the curve (AUC) analysis was used to evaluate the predictive efficacy of these risk factors.
A total of 302 patients with PPDM-C were analysed. Poor glycaemic status was observed in 72.6% (61/84) of patients without diabetes treatment and 52.8% (115/218) of those with diabetes treatment. For those without diabetes treatment, a history of acute pancreatitis (AP) attacks (OR: 4.838, p=0.014) and smoking (1–20 pack-years, OR: 4.418; >20 pack-years, OR: 9.989; p0.001). In patients with diabetes treatment, AP attack history (OR: 5.640, p20 pack-years, OR: 11.395; p
Patients with PPDM-C in China exhibited a high prevalence of poor glycaemic status. Smoking and a history of AP attacks were significantly associated with an increased risk of poor glycaemic control. The early identification of patients with PPDM-C at elevated risk of poor glycaemic control may facilitate timely and optimised management of glycaemia.
by Xie Qiu, Shuo Hu, Shumin Dong, Haijun Sun
ObjectiveTo develop a predictive framework integrating machine learning and clinical parameters for postoperative pulmonary complications (PPCs) in non-small cell lung cancer (NSCLC) patients undergoing video-assisted thoracic surgery (VATS).
MethodsThis retrospective study analyzed 286 NSCLC patients (2022–2024), incorporating 13 demographic, metabolic-inflammatory, and surgical variables. An Improved Blood-Sucking Leech Optimizer (IBSLO) enhanced via Cubic mapping and opposition-based learning was developed. Model performance was evaluated using AUC-ROC, F1-score, and decision curve analysis (DCA). SHAP interpretation identified key predictors.
ResultsThe IBSLO demonstrated significantly superior convergence performance versus original BSLO, ant lion optimizer (ALO), Harris hawks optimization (HHO), and whale optimization algorithm (WOA) across all 12 CEC2022 test functions. Subsequently, the IBSLO-optimized automated machine learning (AutoML) model achieved ROC-AUC/PR-AUC values of 0.9038/0.8091 (training set) and 0.8775/0.8175 (testing set), significantly outperforming four baseline models: logistic regression (LR), support vector machine (SVM), XGBoost, and LightGBM. SHAP interpretability identified six key predictors: preoperative leukocyte count, body mass index (BMI), surgical approach, age, intraoperative blood loss, and C-reactive protein (CRP). Decision curve analysis demonstrated significantly higher net clinical benefit of the AutoML model compared to conventional methods across expanded threshold probability ranges (training set: 8–99%; testing set: 3–80%).
ConclusionThis study establishes an interpretable machine learning framework that improves preoperative risk stratification for NSCLC patients, offering actionable guidance for thoracic oncology practice.
To explore whether vaccine confidence and vaccine delay intention mediated the effect of the pay-it-forward intervention on human papillomavirus (HPV) vaccine uptake.
This secondary mediation analysis of a two-arm randomised controlled trial was conducted among female adolescents aged 15–18 years in Chengdu, China, from July 2022 to June 2023.
This study was conducted in four residential areas representing diverse economic backgrounds in Chengdu.
A total of 321 parents of girls aged 15–18 years who had not received the HPV vaccine participated in the study.
Participants were randomly allocated into two arms. Pay-it-forward participants received a community-contributed subsidy (47.7 USD) to support the HPV vaccination, along with educational postcards and an opportunity to donate to support others. In the standard-of-care arm, participants paid for their vaccination.
Primary outcome was the receipt of the first HPV vaccine dose within a 3-month period following an intervention. Based on previous literature, we hypothesised that vaccine confidence and vaccine delay intention were potential mediators. Vaccine confidence was measured using the vaccine confidence index. Vaccine delay intention refers to the caregiver’s preference to postpone HPV vaccination for their daughter until the preferred vaccine type becomes available, rather than accepting the immediately accessible HPV vaccine. Data on these mediators were collected via a self-administered online questionnaire conducted after the intervention but before vaccination.
Among urban participants, when compared with the standard-of-care arm, about 39% of the effect of the pay-it-forward intervention on vaccine uptake was mediated by a reduction in vaccine delay intention. Notably, vaccine confidence did not appear to mediate the effect of the intervention on vaccine uptake. Among suburban participants, no mediation effects were observed. In the suburban setting, caregivers who vaccinated their daughters showed poorer prior awareness of the HPV vaccine before participating in the trial compared with those who did not vaccinate their daughters (41.5% vs 21.1%; p=0.011).
Our findings indicate that among urban participants, the pay-it-forward may have effectively reduced vaccine delay intention, which was associated with an increased uptake of the HPV vaccine. However, in suburban areas, enhanced awareness might be a potential contributing factor to improved vaccine uptake, but further research is necessary to affirm this.
Chinese Clinical Trial Registry: ChiCTR2200055542.
This study aimed to validate the mediating role of nurses' AI trust in the relationship between AI uncertainties and AI competence.
A cross-sectional study.
A purposive sample of 550 registered nurses with at least 1 year of clinical experience from three tertiary and two secondary hospitals in Jinan and Hangzhou, China, was used. Data were collected using structured questionnaires assessing AI uncertainty, trust and competence. Demographic data included gender, age, education level, years of clinical experience, professional title and hospital level. Mediation analysis.
Most nurses were from tertiary hospitals (88.9%), held a bachelor's degree (87.6%), and had over 6 years of experience. The mediating role of AI trust between AI uncertainties and AI competence is validated. AI uncertainties affected AI trust (B = 0.39, p < 0.0001), explaining 10% of the variance. AI uncertainties and AI trust affected AI competence (B = 0.25 and 0.67, p < 0.0001), explaining 63% of the variation. AI trust's total effect was 0.51, comprising direct and indirect effects of 0.25 and 0.26, respectively.
Hospitals can reduce uncertainty through an AI-transparent decision-making process, providing clinical examples of AI and training nurses to use AI, thereby increasing trust. Second, AI systems should be designed to consider nurses' psychological safety needs. Hospital administrators utilise optimised AI technology training and promotional techniques to mitigate nurses' resistance to AI and enhance their positive perceptions of AI competence through trust-building mechanisms.
Impact: Enhancing nurses' AI trust can reduce uncertainty and improve their competence in clinical use. Strategies such as transparency, explainability and training programmes are crucial for improving AI implementation in healthcare.
This study focused solely on clinical nurses and did not include patients or the public.
The study adhered to STROBE guidelines.
To translate the Supportive and Palliative Care Indicators Tool (SPICT) into Chinese and conduct preliminarily tests of its performance in hospitalized patients with cancer.
A cross-sectional validation study conducted from January to March 2024.
SPICT 2022 was translated in both directions, following the Brislin translation model, and the Chinese version culturally debugged through expert consultation and pre-testing. Content validity was evaluated by expert scoring. Tool internal consistency was evaluated using KR-20 coefficient, and retest reliability was evaluated using kappa coefficient. The screening performance was evaluated by sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV).
Of 388 hospitalized cancer patients included, approximately one-quarter had potential palliative care needs. Content validity of the Chinese version of SPICT was good, as were internal consistency and test–retest reliability. Accuracy (0.905), sensitivity (0.806), specificity (0.943), PPV (0.845), and NPV (0.926) for the Chinese version of SPICT indicated that it is an acceptable instrument.
The Chinese version of SPICT can be applied for screening of palliative care needs in hospitalized patients with cancer in China.
The Chinese version of SPICT had been adapted to assist clinicians or nurses in quickly identifying hospitalized patients with cancer who may have palliative care needs. This is conducive to help clinical team to start palliative care consultation, care goal discussion and (or) referral for patients in clinical practice. And it probably helps to advance integration between palliative care assessment and routine oncology care assessment.
This study provided a screening tool for palliative care, with good validity and reliability, as well as excellent screening performance to facilitate palliative care need screening in clinical practice, promote palliative care referrals and improve patient quality of life.
This study was reported according to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement.
No patient or public contribution.
This study was designed to explore the potential categories and their characteristics of self-compassion in Chinese enterostomy patients and then to investigate related factors.
A cross-sectional study.
The research focused on enterostomy patients who were hospitalised in two tertiary hospitals in Yangzhou City, China, between Nov 2022 and Aug 2023.
222 adult enterostomy patients in China completed the questionnaires.
This study investigated scores from the Self-Compassion Scale, Perceived Stress Scale and the Social Support Rating Scale. Information on the patients included: age, gender, marital status, monthly household income, types of medical insurance, education level, place of residence, enterostomy complications, postoperative time and whether adjuvant chemotherapy was given.
Three profiles of self-compassion in enterostomy patients were identified: ‘low self-compassion group’ (class 1), ‘moderate self-compassion group’ (class 2) and ‘high self-compassion group’ (class 3), accounting for 40.5%, 28.0% and 31.5%, respectively. The multivariate logistic analysis showed adjuvant chemotherapy, social support (PP
There is significant heterogeneity in self-compassion among enterostomy patients, and nearly half of them belong to the ‘low self-compassion group’. Focused interventions are required for females, patients with permanent enterostomy, low educational level and undergoing adjuvant radiotherapy. The self-compassion ability of patients can be effectively improved by reducing perceived stress and enhancing social support. These findings provide a basis for constructing targeted intervention strategies.
by Min Wang, Yushun Yan, Wanqiu Yang, Ruini He, Lingdan Zhao, Yikai Dou, Yuanmei Tao, Xiao Yang, Qingqing Xiang, Xiaohong Ma
Psychiatric nurses represent a high-stress occupational group that experiences elevated levels of suicidal ideation (SI), emphasizing the need for focused mental health interventions. The main purpose of this study was to examine the prevalence of SI among psychiatric nurses and to identify the psychological and occupational factors associated with SI. A total of 1,835 psychiatric nurses completed questionnaires on depressive symptoms (PHQ-9), SI, quality of work-related life (QWL), and burnout. Multivariate logistic regression and phenotypic network analyses were conducted to identify factors associated with SI and the potential pathways linking depressive symptoms, burnout, and QWL to SI. The results indicated that 11.33% of the participants had SI in the past two weeks. Multivariate logistic regression revealed that emotional exhaustion, depersonalization, personal accomplishment, stress at work, general well-being, and the home-work interface were significant predictors of SI. Network analysis further revealed that psychomotor changes, guilt, sad mood, low energy, and appetite changes were the symptoms most directly associated with SI. In addition, sad mood, general well-being, and work-home interface were linked to job and career satisfaction, whereas sad mood and low energy were associated with emotional exhaustion and SI. These findings contribute valuable large-scale evidence on the mental health challenges faced by psychiatric nurses and highlight the importance of addressing mood disturbances, energy loss, and work-related stress in SI prevention efforts for this vulnerable group.by Mengzhen Qin, Mengyuan Qiao, Yuying Dong, Haiyan Wang
ObjectiveCompared with those without such impairment, middle-aged and older adults with sensory impairment (SI) demonstrate a greater prevalence and severity of depressive symptoms, significantly affecting their mental health. We aimed to develop and validate a depression risk prediction model for middle-aged and elderly individuals with SI.
MethodsData from the 2018 China Health and Retirement Longitudinal Study were randomly partitioned into training and validation sets at a 7:3 ratio. Within the training set, least absolute shrinkage and selection operator (LASSO) regression analysis and binary logistic regression were used to identify predictor variables, and a risk prediction column‒line graph was subsequently developed, with depression status among middle-aged and elderly individuals with SI as the dependent variable. Predictive performance of the training and validation sets was assessed via receiver operating characteristic (ROC) curves, calibration plots, and decision curve analysis.
ResultsIn total, 5308 middle-aged and older adults with SI were included, with 50.1% (n = 2657) developing depression. Multifactorial logistic regression analysis identified several depression predictors, including sex, education level, place of residence, marital status, self-rated health, life satisfaction, pension insurance status, nighttime sleep duration, functional impairment status, and pain (all P CI = 0.783–0.811) and 0.778 (95% CI = 0.755–0.800), respectively. The Hosmer–Lemeshow values were P = 0.176 and P = 0.606 (P > 0.05), and the calibration curves revealed significant agreement between the model and actual observations. ROC and DCA curves indicated good predictive performance for the column‒line graph.
ConclusionThis study presents a reliable, validated, and acceptable predictive model for depression risk in middle-aged and elderly individuals with SI, and the identified predictors have potential applications in public health policy and clinical practice.
by Ruilan Lin, Ru Qin, Yunlong Zhang, Yao Guan, Boheng Wu, Shangyang Li, Shenhong Qu, Yulin Yuan
BackgroundThis study aims to assess the diagnostic value of the Epstein-Barr virus (EBV) BNLF2b antibody(P85-Ab), alone or in combination with VCA-IgA, Rta-IgG, and Zta-IgA antibodies, in the context of nasopharyngeal carcinoma (NPC).
MethodsThe study included 100 NPC patients and 100 healthy controls. Chemiluminescent microparticle immunoassay was utilized to measure P85-Ab levels in the serum samples of both NPC patients and healthy controls. Additionally, the ELISA method was employed to detect serum levels of VCA-IgA, Rta-IgG, and Zta-IgA antibodies. The study analyzed the roles of serum P85-Ab in conjunction with VCA-IgA, Rta-IgG, and Zta-IgA antibodies in the diagnosis of NPC.
ResultsSerum levels of P85-Ab, VCA-IgA, Rta-IgG, and Zta-IgA antibodies in NPC patients were significantly higher than those in the normal control group (P Conclusion
The combined detection of P85-Ab with VCA-IgA, Rta-IgG, and Zta-IgA antibodies demonstrates high diagnostic value for nasopharyngeal carcinoma. Serum P85-Ab may serve as a potential marker for the diagnosis of NPC.
Oesophageal squamous cell carcinoma (ESCC) ranks among the most aggressive malignancies and carries a poor prognosis. Lymphocytes play a key role in combating infections and suppressing tumourigenesis. Many studies have established a close association between lymphocyte depletion and adverse therapeutic outcomes in oesophageal cancer. Nevertheless, high-quality data validating the clinical efficacy and safety of lymphocyte-sparing thoracic radiotherapy regimens for ESCC remain scarce.
This prospective, open-label, randomised controlled trial aims to determine whether lympho-nTRT-ESO reduces the incidence of acute grade 3–4 lymphopaenia in patients with ESCC undergoing neoadjuvant chemoradiotherapy (nCRT), compared with conventional thoracic radiotherapy (RT). A total of 212 participants will be enrolled and randomly allocated in a 1:1 ratio to either the lymphocyte-sparing RT (RT) group or the conventional RT group. All patients will receive standardised nCRT, which will deliver a total dose of 41.4 Gy in 23 fractions. For the lymphocyte-sparing RT group, RT planning prioritises the planning target volume (PTV) coverage and conventional organ-at-risk (OAR) constraints while applying dose constraints to lymphocyte-related OARs (LOARs). These LOARs include the T1–T12 vertebral bodies, ribs, spleen and major cardiovascular structures (heart and large blood vessels), with optimisation performed only after PTV coverage and standard OAR constraints are satisfied.
This trial was approved by the Ethics Committee of Ruijin Hospital, Shanghai Jiao Tong University School of Medicine (RJ 2024–210) on 11 July 2024 and registered on ClinicalTrials.gov (NCT06596954) before participant recruitment. All participants should provide written informed consent to be eligible. We planed to publish the primary and secondary results of this study in scientific peer-reviewed journals and present at radiation oncology conferences.
Stroke is a leading cause of death and disability worldwide, with spasticity affecting 4%–42.6% of stroke survivors. Prolonged spasticity can lead to pain, restricted joint mobility and muscle weakness. Current non-pharmacological treatments include physical therapy, orthoses and surgery. Muscle energy techniques (METs) and blood flow restriction training (BFRT) have shown promise in improving muscle function and reducing spasticity. This study aims to investigate the combined effect of MET and BFRT on upper limb motor function in patients with poststroke spasticity.
This study is a single-blind randomised controlled trial involving patients with poststroke spasticity. Participants will be randomly assigned to either the MET+BFRT group or the passive stretching group. Both groups will receive conventional rehabilitation therapy, with additional MET+BFRT or passive stretching interventions. The intervention will last for 6 weeks, with four sessions per week. Primary outcomes include the simplified Fugl-Meyer assessment (FMA) and surface electromyography, while secondary outcomes include the Modified Barthel Index and the Modified Ashworth Scale.
Based on literature data, patients who had a stroke have an average baseline upper limb FMA score of 40 points. Conventional rehabilitation typically improves FMA to 46 points (SD=8). This trial expects an additional 6-point improvement from the intervention. With α=0.05 (two-sided), 90% power (1–β=0.90) and 10% dropout rate, PASS V.11.0 calculation indicates a minimum requirement of 42 participants per group.
Statistical analysis will be conducted using IBM SPSS Statistics V.25. Intention-to-treat analysis will be used to analyse the result, which means the last observation will be used for interpolation when data are missing. Continuous variables will be summarised as mean±SD for normally distributed data or as median and IQRs for non-normally distributed data. Categorical variables will be presented as frequencies and percentages. For continuous variables that meet the criteria of normal distribution and homogeneity of variance, two-way analysis of variance with repeated measures will be applied; for those that do not meet these criteria, the Mann-Whitney U test will be used. Categorical variables will be analysed with the 2 test or Fisher’s exact test.
The study protocol has been approved by the ethics committee of Jiaxing Hospital of Traditional Chinese Medicine (2024-016). Participants will provide written informed consent before inclusion. The results will be disseminated through peer-reviewed journals and conference presentations.
ChiCTR2400085996.
This study aimed to (1) evaluate the effectiveness of e-health interventions in improving physical activity and associated health outcomes during pregnancy, (2) compare the e-health functions employed across interventions and (3) systematically identify the behaviour change techniques (BCTs) used and examine their interrelationships.
A systematic review and meta-analysis following the PRISMA 2020 guidelines.
Randomised controlled trials were included. Meta-analyses and subgroup analyses were performed using RevMan 5.3. Social network analysis was conducted to determine the most central BCTs within the intervention landscape.
Ten databases were searched, including PubMed, Embase, Web of Science, Cochrane Library, ProQuest, Scopus, SinoMed, China National Knowledge Infrastructure, WanFang and the China Science and Technology Journal Database, from inception to April 22, 2024.
Thirty-five studies were included. Pooled analyses indicated that e-health interventions significantly improved both total (SMD: 0.19; 95% CI: 0.10 to 0.27; I 2 = 55%) and moderate-to-vigorous physical activity (SMD: 0.16, 95% CI: 0.06 to 0.26; I 2 = 53%) in pregnant women. Subgroup analyses revealed that interventions based on theoretical frameworks and those not specifically targeting overweight or obese women demonstrated greater effectiveness. Additionally, e-health interventions were associated with significant reductions in both total and weekly gestational weight gain. Six of the twelve e-health functions were utilised, with ‘client education and behaviour change communication’ being the most prevalent. Thirty unique BCTs were identified; among them, ‘instruction on how to perform the behaviour’, ‘self-monitoring’, ‘problem solving’, and ‘goal setting’ showed the highest degree of interconnectedness.
E-health interventions are effective in enhancing physical activity and reducing gestational weight gain during pregnancy. Incorporating theoretical frameworks and well-integrated BCTs is recommended to optimise intervention outcomes.
Integrating e-health interventions into existing perinatal care models holds promise for enhancing physical activity among pregnant women and improving maternal health outcomes.
This study adhered to the PRISMA checklist.
No patient or public involvement.
The study protocol was preregistered in the International Prospective Register of Systematic Reviews (CRD42024518740)
by Wei Chen, Lingling Zhang, Haiyan Qi
Pulmonary arterial hypertension (PAH) is a progressive and often fatal disorder characterized by increased pulmonary vascular resistance and subsequent right heart failure. Inflammation plays a pivotal role in the pathogenesis of PAH, and recent studies have highlighted the potential therapeutic significance of targeting inflammatory pathways. This study investigates the role of CD44, a cell surface receptor, in the inflammatory processes underlying PAH. By analyzing bulk RNA-seq data from idiopathic pulmonary hypertension (IPAH) patients and conducting single-cell RNA-seq analysis on pulmonary arterial cells, we identified CD44 as a key modulator of inflammation. Our findings suggest that elevated CD44 expression is not only in T cells but also prominently in pulmonary artery smooth muscle cells (SMCs), suggesting its involvement in vascular inflammation and remodeling. Molecular docking studies revealed a potential interaction between CD44 and progesterone, an anti-inflammatory drug and immunomodulator, and this indicates a novel avenue for therapeutic intervention. The results support the hypothesis that targeting CD44 may reduce inflammation and improve clinical outcomes in PAH patients.by Wanbo Lu, Qibo Liu, Haofang Li
This paper employs the mixed-frequency Granger causality test, reverse unconstrained mixed-frequency data sampling models, and Chinese data from January 2006 to June 2024 to test the nexus between consumer confidence and the macroeconomy. The results show that changes in the real estate market, GDP, and urban unemployment rate are Granger causes of consumer confidence. In reverse, consumer confidence is a Granger cause of the CPI. Second, GDP and the real estate market (CPI and urban unemployment rate) have a significant positive (negative) impact on consumer confidence, while the conditions of industrial production, interest rate, and stock market do not. Third, the “animal spirits” extracted from consumer confidence cannot lead to noticeable fluctuations in China’s macroeconomy. This suggests that the “animal spirits” will not dominate economic growth, even though they affect the macroeconomy slightly and inevitably. The results are robust after replacing the dependent variable and considering the influence of the global financial crisis and the COVID-19 pandemic.by Hongfei Liu, Wenli Li, Gaoqiang Fan, Qiaoyi Chen, Shulei Zhang, Beibei Zhang
This study aimed to investigate the effects of dietary chitosan oligosaccharide (COS) supplementation on growth performance, antioxidant capacity, immune function, duodenal digestive enzyme activity, and jejunal morphology in growing female minks. Ninety-six 12-week-old minks were randomly assigned to six groups (0, 100, 200, 300, 400, or 500 mg/kg COS), with 8 replicates per treatment and 2 minks per replicate, for an 8-week trial. The results showed that average daily gain (ADG) increased quadratically with increasing COS levels (P P P P P Pby Mengqi Yuan, Yajing Yuan, Xiangqun Zhang, Zhenghao Zhu, Chenxi Zhao, Xiangqian Gao, Genyuan Du
Millimeter-wave (mmWave) radar has become an important research direction in the field of object detection because of its characteristics of all-time, low cost, strong privacy and not affected by harsh weather conditions. Therefore, the research on millimeter wave radar object detection is of great practical significance for applications in the field of intelligent security and transportation. However, in the multi-target detection scene, millimeter wave radar still faces some problems, such as unable to effectively distinguish multiple objects and poor performance of detection algorithm. Focusing on the above problems, a new target detection and classification framework of S2DB-mmWave YOLOv8n, based on deep learning, is proposed to realize more accuracy. There are three main improvements. First, a novel backbone network was designed by incorporating new convolutional layers and the Simplified Spatial Pyramid Pooling - Fast (SimSPPF) module to strengthen feature extraction. Second, a dynamic up-sampling technique was introduced to improve the model’s ability to recover fine details. Finally, a bidirectional feature pyramid network (BiFPN) was integrated to optimize feature fusion, leveraging a bidirectional information transfer mechanism and an adaptive feature selection strategy. A publicly available 5-class object mmWave radar heatmap dataset, including 2,500 annotated images, were selected for data modeling and method evaluation. The results show that the mean average precision (mAP), precision and recall of the S2DB-mmWave YOLOv8n model were 93.1% mAP@0.5, 55.8% mAP@0.5:0.95, 89.4% and 90.6%, respectively, which is 3.3, 1.6, 4.5 and 7.7 percentage points higher than the baseline YOLOv8n network without increasing the parameter count.Preventing skin tears (STs) in older adults is an urgent public health concern, especially in long-term care (LTC) facilities. However, limited research on ST prevention among care workers exists due to a lack of suitable assessment tools. This study aims to develop and psychometrically evaluate the Knowledge, Attitude and Practice instrument for care workers in preventing Skin Tears (KAP-ST) in older adults.
The KAP-ST was developed and validated in four phases during May–October 2024. First, an item pool was generated through a comprehensive literature review. Second, a preliminary instrument was developed through a Delphi expert consultation and pilot testing. Third, the items and the final instrument were optimised through a cross-sectional survey involving 317 care workers from 29 LTC facilities in China. Finally, a psychometric evaluation was conducted in another cross-sectional survey involving 373 care workers from 18 LTC facilities.
The final KAP-ST contains 35 items across knowledge, attitude and practice dimensions. Exploratory factor analysis (EFA) revealed a nine-factor structure (factor loadings ranging from 0.451 to 0.799, accounting for 61.35% of total variance). The Item-Level Content Validity Index (I-CVI) values ranged from 0.926 to 1.000, and the Scale-Level Content Validity Index (S-CVI/Ave) was 0.991. The instrument's Cronbach's α, split-half, and test–retest reliability coefficients were 0.887, 0.744, and 0.934, respectively. The CFA analysis revealed an ideal absolute fit validity (RMSEA = 0.068; RMR = 0.029) and parsimony fit validity (PGFI = 0.684).
The KAP-ST demonstrates strong reliability, structural validity and content validity. It is well-suited for assessing care workers' knowledge, attitudes and practices in preventing STs among older adults. Further research is required to enhance and confirm its validity.
STs in the spotlight recently necessitate the use of appropriate investigative tools to facilitate in-depth research, especially for care workers, who should prioritise access to specialised knowledge. Introducing professional guidance in LTC facilities is recommended to enhance the knowledge, attitude and practice of care workers.
Standardised Guidelines for Scale Construction and COSMIN checklist.
No patient or public contributions.
FreshRSS 