Conectar
Accelerated population aging has driven substantial growth in demand for palliative care services. Such services can effectively enhance the living quality for end-of-life patients through multidimensional interventions. Currently, China lacks a localised experience-oriented quality assessment scale for palliative care, resulting in gaps in service quality supervision. To develop a self-reported measurement for palliative care services, with the foundation in the Senses Framework.
This study developed a scale by extracting core contributors of palliative care experiences through 14 patients and 16 families' narratives. To refine and improve the scale, a total of 19 experts were invited to participate in a two-round Delphi expert consultation. Additionally, an empirical research was conducted, with 380 valid samples from two independent cohorts collected to complete the full psychometric testing of the scale.
The final Palliative Care Experience Scale (PCES) comprises two dimensions: sense of security and belonging, and sense of purpose and significance, with a total of 13 items. The total variance includes 79.26% that is explained by these two factors. Confirmatory factor analysis confirmed a stable factor structure for the PCES. The scale exhibited good reliability, with a total Cronbach' α of 0.937, McDonald' ω of 0.952, and Spearman-Brown corrected split-half reliability of 0.897. Cronbach's α for both dimensions exceeded 0.88. The scale's SEM was 1.50 and MDC95 was 4.16, offering a validated threshold to identify real changes in patients' palliative care experience.
This study developed an assessment scale of palliative care quality based on the Senses Framework, uniquely centred on patient experiences. Validated through robust methodologies, this scale fills a gap in the evaluation of experiential dimensions of palliative care in China, providing a scientific and feasible measurement tool for the continuous improvement of services.
This study addresses the critical gap of a culturally adapted, patient experience-centred tool for evaluating palliative care service quality in China. Its core finding is the successful development and full psychometric validation of the 13-item Palliative Care Experience Scale (PCES). This research provides a reliable tool for palliative care clinical practice and academic research to capture patients' care experience, offers clinicians and administrators a practical instrument to identify service gaps and guide quality improvement, and delivers foundational reference data for policymakers to advance patient-centred palliative care development in China.
We adhered to the relevant EQUATOR reporting guidelines. The development and validation process followed the COSMIN framework for patient-reported outcome measures.
Patients receiving palliative care and familes played an integral role in designing and conducting this study. In Phase I, qualitative data from semi-structured interviews with 14 patients and 16 families helped define core thematic constructs and develop the initial item pool, which ensured the scale's content validity were based on their real-life experiences. In Phase III, we recruited a new, independent cohort of participants to complete the psychometric testing of the scale, providing key data for its validation.
by Fangying Cheng, Tingting Li, Lei Zhang, Menghua Xu, Luxi Chen, Zhicheng Ye, Jin Xu
AimMycoplasma pneumoniae (MP) is a leading cause of pneumonia in children. Early identification of patients at high risk is critical for improving outcomes. This study aimed to evaluate the association of soluble ST2 (sST2) with in-hospital adverse events in pediatric MP pneumonia (MPP).
MethodsWe retrospectively analyzed 147 children with MPP admitted to the Children’s Hospital of Fudan University, Shanghai, China, between 01/04/2023 and 31/05/2024. Demographic, clinical, and laboratory data were collected, including sST2, inflammatory markers (CRP, PCT, IL-6), and blood cell counts. Severe adverse events were defined as in-hospital death, ICU admission, diagnosis of sepsis or use of extracorporeal membrane oxygenation.
ResultsTwelve patients experienced severe adverse events and had significantly higher sST2 levels. ROC analysis showed that sST2 predicted severe adverse events (AUC = 0.944, 95% CI 0.894–0.975, P
by Chia-Ying Li, Hung-Yu Lin, En-Pei Isabel Chiang, Hung-Chang Hung, Feng-Yao Tang
Sucralose, a widely utilized non-caloric sweetener, is frequently added to food and beverage products as a sugar substitute aimed at lowering energy consumption and reducing obesity-related health risks. However, epidemiological studies have indicated a possible association between high intake of sucralose and increased prevalence of coronary artery disease (CAD). Prior research has demonstrated that diminished levels of circulating human endothelial progenitor cells (hEPCs) are linked to a higher risk of CAD. Although sucralose is broadly consumed, its direct biological impact on hEPCs has not been comprehensively characterized. In this study, we investigated the cellular effects of sucralose on hEPCs using a variety of in vitro techniques, including assays for viability, migration, capillary-like tube formation, lactate dehydrogenase (LDH) release-cytotoxicity assay, and protein expression profiling by Western blotting. Our results revealed that increased concentrations of sucralose significantly impaired hEPCs viability, motility, and neovasculogenic function, accompanied by increased expression of markers associated with apoptosis, inflammasome activation, and pyroptosis. Mechanistic analysis further demonstrated that sucralose strongly activated endoplasmic reticulum (ER) stress/PERK pathways in these cells. Inhibition of ER stress via 4-phenylbutyric acid (4-PBA) substantially attenuated sucralose-induced cell death and reduced the expression of pyroptosis-related proteins and inflammasome markers. Taken together, these findings suggest that sucralose disrupts hEPCs function in part by triggering ER stress, which promotes both apoptotic and pyroptotic cell death programs.This study examines the effects of perceived managerial care from head nurses and individual resilience on nurse-to-nurse lateral violence among newly graduated registered nurses and determines whether individual resilience mediates the effect of perceived managerial care from head nurses and nurse-to-nurse lateral violence.
Previous studies have examined how managerial care contributes to lateral violence among nurses. However, few studies have examined how individual resilience contributes to reducing lateral violence among newly graduated registered nurses.
This cross-sectional survey study used a three-stage, stratified convenient sampling method, which involved 425 newly graduated registered nurses. Participants completed the Chinese version of the Management Caring Assessment Scale, the Connor–Davidson Resilience Scale, and the Nurse-to-Nurse Negative Behaviour Scale. Structural equation modelling and mediation effect analysis were used to explore the relationships among perceived managerial care from head nurses, individual resilience, and nurse-to-nurse lateral violence.
New nurses experienced moderate levels of lateral violence. The final model accounted for 76.4% of the total variance of lateral violence. Managerial care and individual resilience both had a direct effect on lateral violence. Individual resilience mediated the correlations between managerial care and lateral violence.
Newly registered nurses, especially from rural areas with low levels of education and an inability to perform night shifts independently, are a special group that requires higher attention from nursing management.
Head nurses' managerial care plays an important role in ensuring that new nurses adapt well to their new role and promoting the formation of psychological resilience among nurses. Nursing managers should increase the level of concern they display for new nurses, especially those from rural areas, those with low levels of education, and those who are unable to perform night shifts independently.
Patients contributed to data collection through completing questionnaire surveys.
Virtual reality-reminiscence therapy (VR-RT) has increasingly been applied to older adults to improve psychological well-being and cognition.
This review aims to identify (1) the design characteristics of conducting a VR-RT and (2) the effects of VR-RT on the user experience, cognitive outcomes and psychological well-being.
Systematic review.
Eligible studies were sourced across nine electronic databases, trial registries, grey literature and hand-searching of the reference list. A narrative synthesis was conducted. Twenty-two studies were included, and most were appraised as high quality. Most of the VR-RTs were highly immersive and personalised, with participants having the autonomy of control. VR-RT has the potential to improve anxiety and depression, and cognitive outcomes for older adults. Overall, VR-RT was reported to be an enjoyable experience for older adults.
VR-RT is a promising innovation that can improve older adults' psychological well-being and cognition without significant side effects, including cybersickness and with the potential for scalability across various settings. More randomised controlled studies are needed to evaluate the effectiveness of VR-RT and its features and treatment dosage. These studies could also examine the effectiveness of VR-RT as an intervention to promote independence in activities of daily living and physical rehabilitation.
VR-RT is a promising intervention for older adults in community settings to enhance psychological well-being and cognition. VR's versatility enables personalised experiences within dynamic virtual environments, possibly enhancing engagement and therapeutic outcomes.
This systematic review did not directly involve patient or public contribution to the manuscript.
by Deye Ge, Liyan Wu, Jingrong Yang, Jingxian Sun, Jinying Wang, Jingxin Wang, Huihui Song, Ran Wei, Zecheng Xu, Binbin Zhao, Rongfei Sun, Yifei Wang
The U.S. Food and Drug Administration (FDA) approved intravenous edaravone for the treatment of amyotrophic lateral sclerosis (ALS) in 2017, followed by the approval of the oral formulation in 2022. This study aims to utilize the FDA#39;s Adverse Event Reporting System (FAERS) to investigate the spectrum and timing of adverse events (AEs) associated with edaravone administration, employing repeatability analysis, the Reporting Odds Ratio (ROR) approach, Weibull distribution, and stratification methods. The investigation focuses on data collected from the first quarter of 2017 through the fourth quarter of 2024, aiming to identify adverse event signals and their temporal patterns related to both intravenous and oral edaravone administration. In total, 3,262 records of edaravone-related adverse reactions were identified; among these, 1,534 incidents were associated with intravenous administration, while 453 incidents pertained to oral administration. The analysis revealed distinct adverse reaction profiles for the two routes of administration. Notably, the spectrum of adverse reactions resulting from oral administration predominantly involved the respiratory system, digestive system, and skin damage. In contrast, intravenous administration was more frequently linked to complications associated with invasive procedures and local tissue damage. Furthermore, the timing of adverse reactions exhibited significant variability between the two routes. Weibull distribution analysis indicated that the median onset time for adverse reactions following intravenous administration was 35 days, whereas for oral administration, it was 27 days. Both analytical approaches identified early failure signals, suggesting that the risk of adverse events diminishes over time.To compare the effectiveness of multifactorial and exercise programs in preventing falls among older adults, with a specific focus on evaluating the individual and combined contributions of their key intervention components.
This study was a systematic review and component network meta-analysis. PubMed, Embase, and Web of Science were searched from inception to February 2025 for randomized controlled trials, focusing on four primary outcomes: fallers, recurrent fallers, injurious fallers, and fractured fallers. Risk of bias was evaluated using the Cochrane tool, and additive component network meta-analysis compared intervention group and component efficacy.
69 randomized controlled studies were included. In multifactorial interventions, traditional health education could increase fall risk (iRR: 1.10, 95% CI [1.03; 1.67]) and recurrent fall risk (iRR: 1.25, 95% CI [1.06; 1.48]). Medication management can increase recurrent fall risk (iRR: 1.35, 95% CI [1.09; 1.67]) and fracture risk (iRR: 2.11, 95% CI [1.48; 3.00]). Exercise (iRR: 1.24, 95% CI [1.01; 1.53]) increased fracture risk, and environment modification (iRR: 0.56, 95% CI [0.61; 0.79]) reduced it. The additive effect of risk assessment and advice, exercise, and environment modification reduced fall risk. In exercise programs, gait and balance (iRR: 0.58, 95% CI [0.36; 0.93]) can reduce recurrent fall risk. An intervention containing two components (gait and balance + strength and resistance) reduced the risk of falls and fall-related injuries.
Environment modification reduced fracture risk, emphasizing the value of creating safe living spaces. The combination of risk assessment, advice, exercise, and environment modification reduced fall risk, suggesting a holistic approach may be effective in preventing falls. Traditional methods of health education and medication management are in urgent need of updating to synergize with other exercise components and enhance the effectiveness of fall prevention. Prospective clinical trials are needed to optimize combinations of exercise components, particularly integrating gait and balance training with strength and resistance exercises.
The review was registered online in the International Prospective Register of Systematic Reviews (PROSPERO) under registration number (CRD42025643530)
Pressure injury (PI) is common in the ICU and not well captured by single-risk tools such as the Braden scale. We aimed to develop and internally validate a machine-learning model to predict new-onset PI using routinely collected ICU data. This retrospective single-centre cohort included adult ICU patients with length of stay ≥ 48 h (2018–2023). The primary outcome was new-onset PI during ICU stay. Candidate predictors were pre-specified: minimum albumin, maximum lactate, SOFA, APACHE II, first recorded Braden score, age, BMI, a nutrition score and treatment indicators. Missing values were imputed (median/mode). A gradient boosting model (GBM) was evaluated with stratified 3-fold cross-validation; a random forest (RF) served as a benchmark (stratified 70/30 train–test split). Discrimination (AUC) was primary; calibration, Brier score, decision-curve analysis (DCA) and feature importance were secondary. Logistic regression quantified independent associations. Among included ICU stays, 14.6% developed PI. On multivariable analysis, higher lactate, lower albumin, lower Braden scores, older age, CRRT, prone positioning, enteral nutrition and analgesic exposure were associated with increased PI risk, whereas sedatives showed an inverse association. The GBM achieved AUC≈0.69 with acceptable calibration and net clinical benefit across thresholds commonly used in preventive workflows (≈0.10–0.50). Single markers or simple combinations displayed only modest discrimination. A GBM built from routine ICU data provided moderate, well-calibrated discrimination for predicting new-onset PI and demonstrated decision-relevant net benefit. The model can complement Braden-based screening by refining risk stratification and prioritising intensified prevention for patients most likely to benefit. External validation and prospective evaluation are warranted.
Commentary on: Taylor J, Hall R, Heathcote C, et al (2024). Clinical guidelines for children and adolescents experiencing gender dysphoria or incongruence: a systematic review of guideline quality (part 1)Archives of Disease in Childhood Published Online First: 09 April 2024. doi: 10.1136/archdischild-2023–3 26 499
Implications for practice and research Clinicians should exercise caution when following clinical guidelines for managing gender dysphoria in youth due to concerns about methodological issues and evidence quality. Research on long-term outcomes of interventions is urgently needed to inform robust and transparent guidelines, incorporating input from gender diverse youth and families.
The visibility and acceptance of transgender identities have increased, leading to more young individuals questioning their gender or identifying as transgender.
by Yu Chen, Xinjie Zhao, Ying Yue, Zhenyi Li, Si Chen
ObjectivesTo investigate factors associated with susceptibility to wild mushroom consumption using machine learning approaches and identify key predictors for targeted intervention development.
MethodsA cross-sectional survey of 216 Chinese university students employed three machine learning algorithms (Logistic Regression, Random Forest, Extremely Randomized Trees [ExtraTrees]) to predict consumption susceptibility based on demographics, media usage, and cognitive factors. Susceptibility was assessed through scenario-based questions following established frameworks from tobacco research. Model performance was evaluated using AUC with 95% confidence intervals calculated via bootstrap resampling (1,000 iterations). Sensitivity analyses were conducted using alternative susceptibility thresholds.
Results65.3% were classified as susceptible to consumption. Logistic Regression achieved highest performance (AUC = 0.776, 95% CI: 0.679–0.862). Risk perception emerged as the strongest predictor (importance = 0.133 ± 0.044), followed by mushroom picking experience (0.101 ± 0.017) and content impression (0.089 ± 0.018). Among the 63 participants (29.2%) who reported using AI models, 75.93% indicated trust levels of ‘fairly trust’ or above.
ConclusionsIn this exploratory study of Chinese university students from a single institution, cognitive factors, particularly risk perception and identification ability, showed the strongest associations with consumption susceptibility. These preliminary findings suggest that targeted interventions enhancing risk awareness may be relevant for this population, though replication across diverse samples is needed before broader conclusions can be drawn.
by Hang Sun, Haozhi Xu, Junying Li, Xiaoman Xie, Junmei Zhang, Hongjie Dong, Huanhuan Xie, Qi Wang, Guihua Zhao, Kun Yin, Jingyu Yang, Jianwei Zhou, Ruili Wu, Chao Xu
Gastric cancer (GC) is one of the most common and lethal cancers globally. methyltransferase-like 3 (METTL3)-mediated N6-methyladenosine (m6A) RNA methylation plays a crucial role in tumor initiation and progression by regulating RNA function. STM2457, a highly efficient METTL3 inhibitor, can inhibit METTL3 activity and may serve as a potential therapeutic strategy in cancers. However, the role of STM2457 for GC cells is still unknown. In this study, we analyzed the expression profile data of GC in TCGA and GEO databases, and further explored the expression involvement of METTL3 in GC cell line, investigated the therapeutic effect of STM2457 targeted inhibition of METTL3 in GC both in vitro and in vivo experiments. The results indicated that STM2457 could suppress GC cell proliferation and migration by inhibiting METTL3, and also promoted cell apoptosis and arrest the cell cycle in S phase. In addition, STM2457 could inhibit tumor growth in subcutaneous xenotransplantation mouse model. Our findings suggested that STM2457 had great potential for the treatment of GC and could serve as a foundation for future clinical applications.To explore the complex relationships among non-suicidal self-injury, depression and anxiety symptoms in adolescents, identify key symptoms and provide a theoretical foundation for targeted interventions.
A cross-sectional study.
In total, 1126 adolescents from a tertiary hospital in Shandong Province were assessed using the Adolescent Self-Injury Questionnaire, Patient Health Questionnaire and Generalised Anxiety Disorder Scale. Network analysis was employed to construct symptom networks and identify central and bridging symptoms.
The network analysis revealed that nodes GAD5 (Restlessness), GAD2 (Uncontrollable worry), and GAD4 (Trouble relaxing) exhibited the highest centrality indices, establishing them as core symptoms within the overall symptom network. The highest bridge intensity nodes were GAD1 (Nervousness), GAD5 (Restlessness) and non-suicidal self-injury.
By accurately identifying core and bridging symptoms, a scientific foundation is provided for developing precise and effective symptom management plans.
The study identified the most influential nodes in anxiety and depression among adolescents with non-suicidal self-injury. The findings would help in carrying out personalised and precise interventions to reduce non-suicidal self-injury occurrence and alleviate anxiety and depression symptoms among adolescents.
This study adheres to the STROBE guideline of reporting.
This study did not include patient or public involvement in its design, conduct or reporting.
Death preparedness is an important prerequisite for improving the quality of life and the quality of death in advanced cancer patients. However, research on the level of death preparedness in patients is insufficient, and there is little understanding of the current status and influencing factors of death preparedness in advanced cancer patients.
This study aims to assess the current status of death preparedness and its influencing factors in advanced cancer patients.
Based on the PRECEDE-PROCEED model, a structured survey questionnaire was designed to collect data on personal factors (such as gender, age and residence area), interpersonal factors (such as social support, caregiver readiness and healthcare worker readiness) and social factors (such as care resources, policy support and information supply). Through multiple linear regression and BP neural network analysis, the study explores the impact and significance of these influencing factors on death preparedness in advanced cancer patients.
A total of 930 valid questionnaires were collected in this study. The death preparedness score in advanced cancer patients was 72.18 ± 22.82, indicating a moderate level, with the highest score being the ‘reflexive care’ dimension and the lowest score being the ‘hospice programme’ dimension. Multivariate analysis revealed that meaning in life and social support were the most significant predictors of death preparedness in advanced cancer patients. In addition, personal factors such as dignity, household income and coping style, also played an important role. Interpersonal factors like social support, as well as social factors such as care resources and policy support, also had an impact on patients' death preparedness to some extent.
Death preparedness in advanced cancer patients is generally at a moderate level, and death preparedness is influenced by a combination of personal factors, interpersonal factors and social factors.
This study is based on the PRECEDE-PROCEED model to comprehensively explore the influencing factors of death preparedness in advanced cancer patients. It provides theoretical support for improving life services for advanced cancer patients. It offers valuable practical experience and insights for societal attention and reform in end-of-life care.
No Patient or Public Contributions were included in this paper.
To synthesise qualitative evidence on how patients, caregivers and healthcare professionals perceive and respond to cancer-related anorexia (CRA), and to develop a multi-level framework for improving CRA care.
A qualitative meta-synthesis using the Joanna Briggs Institute (JBI) methodology, informed by the Social Ecological Model (SEM).
Seven databases were searched for qualitative studies from inception to April 2025. Studies were assessed using the JBI Critical Appraisal Checklist. Meta-aggregation was used to synthesise findings, and the ConQual method assessed confidence levels.
PubMed, Embase, CINAHL, PsycINFO, Cochrane Library, CNKI and WanFang.
Seventeen studies from 10 countries were included, reflecting the perspectives of patients, caregivers and healthcare professionals. Four synthesised findings were identified. At the individual level, CRA was linked to physical decline, emotional distress and changes in identity. The interpersonal level involved feeding-related tensions and caregiver burden. Organisational barriers included delayed care and poor cultural responsiveness. Policy-level factors such as limited insurance coverage and rural access further impeded care. Overall confidence in these synthesised findings was low to moderate.
CRA is not solely a biological condition but a multidimensional experience. Addressing CRA requires integrated and context-sensitive strategies across personal, relational, organisational and policy domains.
Nurses and clinicians should address not only physical symptoms but also the emotional and social dimensions of eating. Structured support for caregivers and improved service access, particularly in underserved settings, are needed.
This study provides a multi-level understanding of CRA. The findings support better patient care, caregiver support and more equitable healthcare policy design.
JBI methodology and ENTREQ guideline.
No Patient or Public Contribution.
PROSPERO Database: CRD420251041265
To explore how, under what circumstances and why telerehabilitation can improve adherence to pulmonary rehabilitation in patients with chronic respiratory diseases.
A realist review.
Embase, MEDLINE, CINAHL, PsycINFO, Web of Science, and the Cochrane Library were searched from inception to 2 July 2024 to identify relevant literature.
Initial programme theory was developed through research team meeting, informal literature reading and the use of Capability, Opportunity, Motivation, Behaviour model. After completing the literature search, key evidence was appraised, extracted and synthesised into context-mechanism-outcome configurations.
The review included 23 studies. Seven context-mechanism-outcome configurations were identified. Accessibility and convenience of pulmonary rehabilitation; social interaction and support; technical support; individuality and flexibility of program; getting feedback and seeing results; real-time monitoring of diseases; and diverse motivational incentives were found to be critical for telerehabilitation to improve adherence to pulmonary rehabilitation in patients with chronic respiratory diseases.
This review explains the key mechanisms by which telerehabilitation improves adherence to pulmonary rehabilitation in patients with chronic respiratory diseases, which may contribute to the development and improvement of future pulmonary telerehabilitation interventions.
The program theory developed in this study may guide researchers and clinical staff in the development or improvement of pulmonary telerehabilitation interventions to improve patients' adherence to pulmonary rehabilitation and further support better pulmonary rehabilitation outcomes.
This study adheres to The RAMESES reporting standards.
No patient or public contribution.
Open Science Framework (https://osf.io/). DOI: https://doi.org/10.17605/OSF.IO/YWMQ8
To examine determinants of nurses' adoption of generative artificial intelligence outputs in clinical practice using a technology acceptance model and an integrated structural equation modelling framework.
Cross-sectional online survey.
Registered nurses in mainland China completed an anonymous questionnaire assessing perceived performance benefits, perceived ease of use, perceived information quality, perceived source credibility, social influence, facilitating conditions, adoption intention and adoption behaviour. Structural equation modelling was used to evaluate the measurement model and estimate a primary mediation model in which perceived performance benefits and perceived ease of use predicted adoption intention, and adoption intention predicted adoption behaviour. An integrated model added information quality, source credibility, social influence and facilitating conditions as additional determinants. Sensitivity analyses were conducted using an ordinal estimator to assess robustness.
The analytic sample comprised 330 nurses. In the primary model, higher perceived performance benefits and greater perceived ease of use were associated with stronger adoption intention, and stronger adoption intention was associated with higher self-reported adoption behaviour. The integrated model showed that perceived information quality contributed to adoption intention beyond core expectancy beliefs, while perceived source credibility showed a small direct association with adoption behaviour. Social influence demonstrated a modest association with adoption intention, whereas facilitating conditions showed weaker associations after accounting for other determinants. Model conclusions were consistent across estimation approaches.
Nurses' adoption of generative artificial intelligence outputs is shaped by perceived performance benefits, ease of use and perceived information quality, with adoption intention functioning as the proximal determinant of self-reported use. Implementation strategies should focus on demonstrable workflow gains, reducing interaction burden and strengthening governance and verification to support safe adoption.
To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated with differences in global and domain-specific cognitive function among US adults, using standardised Montreal Cognitive Assessment (MoCA) testing.
Cross-sectional study
Three U.S academic medical centres participating in the Artificial Intelligence–Ready and Equitable Atlas for Diabetes Insights (AI-READI) study.
Adults aged ≥40 years enrolled in the AI-READI cross-sectional study at three US academic medical centres were eligible. The study excluded individuals with type 1 diabetes, pregnancy or inability to speak, read and understand English. For this secondary analysis, 1067 participants from the first publicly released AI-READI data set who had MoCA data and assigned glycaemic status were included. Participants were classified into four prespecified glycaemic groups: controls without diabetes (n=371), pre-diabetes (n=239), medication-controlled type 2 diabetes (n=323), and insulin-dependent type 2 diabetes (n=129).
The primary outcome was global cognitive function measured by the MoCA total score. Secondary outcomes included MoCA domain scores and the prevalence of cognitive impairment, defined as MoCA
Significant differences in MoCA total scores were observed across glycaemic groups (p
Individuals with more advanced T2DM, particularly those on insulin, had significantly higher risk of cognitive impairment. These findings support routine cognitive screening in patients with T2DM, especially those on insulin therapy. Early identification of cognitive impairment may improve diabetes management and cognitive outcomes.
by Xuying Zhang, Johanna Mainzer, Isabella Giambra, Tong Yin, Petra Engel, Hannah Hümmelchen, Henrik Wagner, Axel Wehrend, Christiane Egerer, Katharina Gerhards, Gerald Reiner, Sven König
Long tails trigger tail biting in pigs and increase the risk of flystrike infections in sheep. Tail docking has been a common management practice in both species for decades, but increasingly conflicts with legal animal welfare guidelines. Sustainable solutions require breeding strategies targeting shorter tails. In consequence, the aims were to conduct whole-genome sequencing (WGS)-based genome-wide association studies (GWAS) and comparative genomic analyses (CGA) to explore functional elements influencing tail traits. Phenotypically divergent experimental populations of pigs and sheep were established through unified selection and mating experiments. Tail traits included tail length (TL) measured at birth, and tail abnormalities (TA) assessed radiographically at 14 weeks of age. WGS-based GWAS identified a significant locus on SSC18 in pigs and suggestive loci for TL in both species, which, together with previously reported loci for TA, were further analyzed by CGA. The genomic windows of the significant locus on SSC18 in pigs and the TL GWAS locus on OAR4 in sheep were found to be conserved, harboring six common genes with predicted functional variants. These variants were jointly associated with TL (Plm ) in both species in linear regression models adjusted for sex, age of the dam, body length, and body weight. In other GWAS locus windows (±1 Mb), species-specific TL candidate genes were identified in sheep (HOXB13, MUC5B, EPB41L3, MTCL1, PIEZO2, MPPE1, and LOXHD1) and in pigs (KNL1, DISP2, SPRED1, TGFB2, and HAND1), each harboring associated putative functional variants. For TA, sheep-specific candidates (PGM2, LRRC66, CRACD, LOC105601916, and SH2D4B) and pig-specific candidates (MYOT, TMCO6, and PCDHAC2) were revealed using logistic regression models (Pglm ). GO analyses of candidate genes predicted shared biological processes between sheep and pigs, whereas pathway analyses indicated that common carbohydrate metabolism pathways, along with species-specific immune and inflammatory signaling, and pig-specific TGF-β signaling and endochondral ossification, may contribute to tail length variation and abnormalities. These findings provided deeper insights into the genetic basis of differential embryonic tail morphogenesis and perinatal tail development across species.by Job Kasule, Julius L. Tonzel, Natalie Burns, Tyler Hamby, Roger Ying, Grace Mirembe, Immaculate Nakabuye, Hannah Kibuuka, Margaret Yacovone, Betty Mwesigwa, Trevor A. Crowell, for the Multinational Observational Cohort of HIV and other Infections (MOCHI) Study Group
BackgroundPeople with behavioral vulnerability to HIV face barriers to healthcare engagement that may impede uptake of non-pharmaceutical and other interventions to prevent COVID-19. Understanding COVID-19 knowledge, attitudes, and practices in this population can inform disease prevention efforts during future pandemics.
Materials and methodsFrom October 2022 to September 2024, we enrolled participants aged 14–55 years without HIV who endorsed recent sexually transmitted infection, injection drug use, transactional sex, condomless sex, and/or anal sex with male partners. At enrollment, we collected socio-behavioral data, including assessments of COVID-19 knowledge, attitudes, and practices. Robust Poisson regression with purposeful variable selection was used to estimate prevalence ratios with 95% confidence intervals for factors associated with COVID-19 preventive practices.
ResultsAmong 418 participants, 228 (56.9%) were female, the median age was 21 years (interquartile range 19−24), and 362 (84.9%) reported sex work. Knowledge about SARS-CoV-2 transmission routes was high (95.4%) but lower for the consequences of genetic variants (48.5%−69.7%) and possibility for asymptomatic infection or transmission (66.7%−80.8%). Handwashing was practiced by 90.8% of participants in the preceding month, whereas mask-wearing (76.5%), avoiding symptomatic people (73.7%), and any history of COVID-19 vaccination (46.9%) were less prevalent. Males were more likely to report avoiding symptomatic people (adjusted prevalence ratio 1.16 [95% confidence interval 1.03–1.31]) and COVID-19 vaccination (1.30 [1.05–1.60]). Enrollment during the BQ.1/BQ.1.1 Omicron wave was associated with less mask-wearing (0.81 [0.67–0.99]) but more vaccination (1.59 [1.29–1.95]).
DiscussionWe observed variable COVID-19 knowledge and attitudes among Ugandan adolescents and adults with little impact on COVID-19 preventive practices. Efforts to address suboptimal uptake of disease preventive practices during this and future disease outbreaks will require more than just improving knowledge.
FreshRSS 