Conectar
by Makiko Sasaki, Mamoru Tanaka, Akihiro Nomoto, Ryusei Yamasaki, Tomokazu Yoshimura, Shigenobu Yano, Yasunari Sasaki, Yuki Kojima, Taketo Suzuki, Hirotada Nishie, Keiji Ozeki, Takaya Shimura, Eiji Kubota, Hiromi Kataoka
Photodynamic therapy (PDT) is an anti-cancer therapy that employs a photosensitizer (PS) and an optimal wavelength of light, causing a photochemical reaction that releases reactive oxygen species, thereby inducing cancer cell death via oxidative stress. Because light irradiation is limited to the tumor site, PDT has minimal adverse effects. The cancer cell selectivity of the PS is important for reducing damage to the normal mucosa caused by scattered light. Antibody-drug conjugates (ADC) are novel anti-cancer therapies that combine a monoclonal tumor-surface-receptor-targeting antibody with a drug bonded through chemical linkers. ADCs enable the targeted delivery of a variety of drugs to cancer cells while minimizing their delivery to healthy tissues. One such tumor surface receptor is the human epidermal growth factor receptor 2 (HER2), which is of interest in the treatment of many cancers, including gastrointestinal cancer. To improve tumor selectivity and minimize damage to the mucosa surrounding the tumor in PDT, we established a novel PS glucose-linked chlorin e6-conjugated trastuzumab (G-Ce6-trastuzumab) that is conjugated to existing PS glucose-linked chlorin e6 (G-Ce6) and evaluated its anti-cancer effect compared to G-Ce6. The effect of PDT was evaluated using HER2-high-expression cells NCI-N87 and HER2-low-expression cells MKN-45. G-Ce6-trastuzumab is internalized by the intracellular organelles in cancer cells. Evaluation of cell death using the WST-8 assay also demonstrated a significantly higher cytotoxic effect of G-Ce6-trastuzumab in HER2-high-expression cells compared with conventional PS G-Ce6. Thereby, G-Ce6-trastuzumab may be an excellent novel PS for PDT because of its strong selectivity for HER2-high-expression cells.Chronic diseases require sustained medication adherence, yet nonadherence remains common, leading to poor outcomes and increased healthcare costs. Digital self-management technologies such as mobile health (mHealth) apps, SMS reminders, and web-based platforms offer scalable ways to support adherence, but evidence on their overall effectiveness across diverse contexts is fragmented.
To systematically review and meta-analyze the effectiveness of self-management technologies in improving medication adherence among adults with chronic diseases and to examine potential moderators of intervention impact.
Following PRISMA guidelines, we searched PubMed, Scopus, Web of Science, CINAHL, and JMIR for peer-reviewed studies (January 2010–June 2025) evaluating digital self-management interventions with adherence outcomes and comparator groups. Eligible designs included RCTs, quasi-experimental, and controlled before-after studies in adults with chronic disease. Random-effects meta-analysis estimated pooled effect sizes (Cohen's d). Heterogeneity (I 2), subgroup analyses, and publication bias (Egger's, Begg's, trim-and-fill) were assessed.
Fifty-two studies were included, spanning 2015–2025. Early interventions (2015–2019) focused on feasibility, using SMS and basic web tools; later years (2021–2025) showed technological maturity, dominated by mHealth apps integrating monitoring, reminders, and education. The pooled random-effects effect size was d = 0.268 (95% CI 0.123–0.414, p = 0.0003), indicating a small-to-moderate benefit. Heterogeneity was high (I 2 = 89%). Medium-duration (10.8–24 weeks) interventions had the largest effect (d = 0.50), and effects varied markedly by country (e.g., Iran d = 2.29; Taiwan d = −0.94). Begg's test suggested possible publication bias; trim-and-fill adjustment increased the pooled effect to d = 0.366.
Digital self-management technologies yield a statistically significant, small-to-moderate improvement in medication adherence across chronic diseases, with potential underestimation due to selective reporting. Effectiveness is moderated by temporal trends, geography, intervention duration, and study design, underscoring the need for context-specific adaptation and methodological rigor. Future research should prioritize large, well-controlled trials, pre-registration, and exploration of cultural and systemic determinants to optimize intervention impact.
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: Wang R, Liu Y, Zhang Q, et al. Twenty-4 hour blood pressure trajectories and clinical outcomes in patients who had an acute ischaemic stroke. Heart. 2024;110(11):768–774.
Implications for practice and research Blood pressure (BP) should be kept at moderate to low levels in the 24 hours after ischaemic stroke to reduce the risk of adverse outcomes. Future studies need to determine the optimal BP that should be aimed for poststroke to avoid further vascular events.
Haemodynamic management, and particularly the management of blood pressure (BP), is critical to reduce mortality and preserve the functional capacity of people with cardiovascular disease.
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.by Siyu Xie, Qiang Gu, Guiyin Zhuang, Xiaojing Guo, Bo Sun
ObjectivesTo explore the pharmacotherapeutic efficacy of heparin in the management of meconium-induced acute lung injury (ALI) in near-term newborn rabbits subjected to mechanical ventilation (MV) and ancillary respiratory medications.
MethodsNewborn rabbits at 30-day gestation (term 31 days) were anesthetized, intratracheally intubated and received human meconium-saline suspension, followed by parallel MV with individually adjusted tidal volume in a multi-plethysmograph-ventilator system. When ALI was induced after initial 3-h MV, therapeutic effects of single or combined subcutaneous heparin (100 U/kg), surfactant (200 mg/kg), and inhaled nitric oxide (iNO, 10 ppm), were compared for lung protective ventilation and survival as outcome, analyzed with linear regression models.
ResultsSignificantly reduced respiratory compliance by meconium was reinstalled during ensuing 7-h MV, with improved survival, among the treatment groups. The impact was verified by lung injury severity, surfactant phospholipid pools, and multiple mRNA expressions of surfactant proteins, lung fluid clearance-related factors, inflammatory mediators, growth factors, endothelial cell injury and coagulation-related factors as subphenotyping biomarkers. The overall benefits of heparin alone, or exerted with the dual and triple regimens, were discernible by both generalized linear model and Cox proportional hazard ratio regression for survival and other major variables as outcome. Its adverse effects were intangible.
ConclusionThe comparable efficacy of heparin, alongside the PS and NO, was corroborated in attenuating meconium-mediated, ventilator-induced ALI, which should warrant clinical investigation to validate.
To evaluate the effect of lobeglitazone on renal disease progression in patients with type 2 diabetes mellitus using longitudinal real-world data.
Retrospective cohort study.
Hospital-based Common Data Model database.
A total of 14 712 adults with type 2 diabetes mellitus who visited the Diabetes Center of Ewha Womans University Mokdong Hospital between 2013 and 2019 were identified. A 1:2 propensity score matching was performed to compare patients treated with lobeglitazone plus metformin with those receiving metformin monotherapy, sulfonylurea plus metformin, or a dipeptidyl peptidase-4 (DPP4) inhibitor plus metformin.
Treatment with lobeglitazone plus metformin compared with metformin monotherapy, sulfonylurea plus metformin or DPP4 inhibitor plus metformin.
Renal progression, defined as initiation of renal replacement therapy, a sustained ≥30% decline in estimated glomerular filtration rate (eGFR) from baseline, or doubling of serum creatinine with a concurrent eGFR ≤45 mL/min/1.73 m².
The HR of renal progression was 0.84 (95% CI 0.58 to 1.21) in the lobeglitazone plus metformin compared with metformin monotherapy, 1.00 (95% CI 0.79 to 1.27) compared with sulfonylurea plus metformin group, 1.10 (95% CI 0.84 to 1.44) compared with DPP4 inhibitor plus metformin group after adjusting for multiple variables. Subgroup analyses demonstrated significant interactions by sex in the comparison with metformin monotherapy (P for interaction=0.0179) and by glycaemic control in the comparisons with sulfonylurea plus metformin (P for interaction=0.0161) and DPP4 inhibitor plus metformin (P for interaction=0.0006), suggesting potential heterogeneity in treatment effects.
Lobeglitazone showed renal outcomes comparable to those of other antidiabetic medications, with a possible heterogeneity in treatment effects according to sex and glycaemic control.
Post-COVID-19 respiratory infection patterns require updated epidemiological data. To investigate the prevalence and infection patterns of upper respiratory tract infections (URTIs), a survey was conducted to assess the presence of influenza A (IFV A), influenza B (IFV B), respiratory syncytial virus (RSV), human rhinovirus (HRV), adenovirus (Adv), and SARS-CoV-2 among outpatients diagnosed with URTIs.
A community-based cross-sectional study.
Three cities in Sichuan, China.
1174 outpatients diagnosed with URTIs from December 2023 to February 2024.
Oropharyngeal swabs were collected using sterile flocked swabs, preserved at 4°C and analysed within 24 hours. Viral nucleic acid was extracted automatically and detected via multiplex PCR-melting curve analysis.
Results showed in positive detection rates varied significantly by age (p
This study reveals persistent influenza dominance and age-stratified co-infection risks and provides critical baseline data for optimising respiratory infectious disease control in the post-pandemic era.
This study examines the relationships between wage satisfaction, union perceptions, expectations, and union membership among Turkish nurses, identifying factors associated with union participation.
Sequential explanatory mixed-methods design.
This two-phase study (January–July 2023) included: (1) a quantitative survey of 210 nurses assessing wage satisfaction, union perceptions, and expectations, analysed using regression and PROCESS Macro (Model 4); and (2) qualitative interviews with 22 nurses, including 15 with union leadership experience, analysed through thematic analysis using MAXQDA.
Quantitative findings indicated that wage satisfaction was associated with nurses' perceptions of unions but did not independently predict union expectations. The study hypothesises that union perception functions as a key mediating mechanism, translating wage dissatisfaction into expectations for union action. Qualitative findings supported this pattern, showing that although wage dissatisfaction was widespread, nurses' expectations were primarily shaped by perceptions of unions' transparency, political independence, democratic participation, and representational capacity rather than by wages alone.
Union participation among nurses is influenced by both economic conditions and normative evaluations of unions. While wage dissatisfaction provides an important contextual background, expectations and engagement are mainly driven by perceptions of union credibility, fairness, and representational effectiveness.
Nursing unions should prioritise transparent governance, democratic participation, and political independence to enhance trust, member engagement, workforce stability, and quality of care.
This study addresses persistent wage dissatisfaction alongside declining union membership and trust. The findings demonstrate that union engagement depends not only on economic dissatisfaction but also on perceived representational fairness. The results are particularly relevant for nursing unions, professional organisations, and policymakers aiming to strengthen union legitimacy and workforce engagement in healthcare systems.
Compliant with COREQ guidelines and mixed-methods reporting standards.
No patient or public contribution.
To systematically synthesise nurses' perspectives on dignified death, providing a culturally informed and comprehensive understanding.
Meta-ethnography.
This study was conducted using Noblit and Hare's approach, which included reciprocal translation, refutational synthesis, and line-of-argument synthesis. Methodological rigour and credibility were evaluated using the Critical Appraisal Skills Program (CASP) checklist. The review included peer-reviewed qualitative studies published in English or Korean that focused on nurses' or nursing students' views on dignified death in end-of-life care.
A systematic search was conducted in MEDLINE, EMBASE, CINAHL, and the Web of Science in August 2023, with an updated search in August 2024. Seventeen qualitative studies published between 2010 and 2024 met the inclusion criteria.
Four interconnected themes emerged: A death that embraces humanity, a death that preserves personal identity, a death that facilitates connection and reconciliation, and a death that affirms acceptance and spiritual serenity. These themes, including eight sub-themes, highlight cultural influences shaping nurses' approaches to dignified death.
The findings emphasise the influence of cultural context in shaping end-of-life care and support the development of culturally sensitive nursing education and guidelines to enhance care quality.
This research provides culturally grounded strategies to improve end-of-life care and strengthen nurses' competencies in delivering holistic support.
This study highlights cultural variations in nurses' approaches to balancing autonomy, family expectations, and spiritual needs, offering practical insights for holistic, patient-centred, and culturally sensitive care.
This review complies with the Equator and improving reporting of meta-ethnography (eMERGe) guidelines.
No patient or public contribution.
To explore nurse practitioners' attitudes towards medical error perception, approach and cause using the Medical Error Attitude Scale and examine their experiences following a medical error and the support received.
A cross-sectional, descriptive study using an electronic survey.
A convenience sample of nurse practitioners licensed in Utah was invited to participate. The survey included the Medical Error Attitude Scale, demographic items, questions regarding error reporting, experiences after an error and support received or desired.
Nurse practitioners generally have positive attitudes towards medical errors. Higher scores were observed among individuals with doctoral-level education, female respondents and those employed in organisations with formal support programmes. While most nurse practitioners reported their medical errors, many indicated they did not receive institutional support afterwards. Peer support emerged as the most frequently desired form of assistance.
Nurse practitioners experience medical errors while providing care and require meaningful, accessible support. Despite favourable attitudes, many reported limited institutional support. Additional research is needed to understand their support needs following medical errors better.
We adhered to the STROBE guidelines for the reporting method.
No patient or public contribution.
To analyse the concept of psychological burnout among nurses in the context of terminal care.
Concept analysis.
The study was conducted according to the eightstep conceptual analysis procedure suggested by Walker and Avant.
Articles published in English or Korean between January 2014 and 2024 were reviewed in March 2024. A total of eight search engines were used for the literature review, including PubMed, Cumulative Index of Nursing and Allied Health Literature (CINAHL) and PsycINFO. A total of 19 articles were finally selected for the analysis based on criteria.
The attributes of psychological burnout among nurses providing terminal care are depletion of energy, emotional numbness, disengagement, sense of powerlessness and emotional repression. Seven antecedents and six consequences of the concept were identified in this study.
The result of this study provides a foundation for the development of tailored interventions and further research related to the occurrence of psychological burnout among nurses providing terminal care. Additionally, considering the characteristics of terminal care, we suggest additional studies to confirm the attributes of burnout in this context across various cultural and religious backgrounds.
This study helps clarify the concept of psychological burnout among nurses in terminal care and informs the development of various interventions, educational programmes and related policies.
No patients or public contribution.
To investigate the relationship between climate change cognition and behaviours (awareness, concern, motivation, behaviours at home and behaviours at work), positive and negative future cognition, and environmental sustainability attitudes in nurses and to identify the factors affecting environmental sustainability attitudes.
A cross-sectional study.
In total, 358 nurses currently working in tertiary hospitals in Korea were recruited. Data were collected using an online questionnaire link from 1 August to 7 August 2022. Climate change cognition and behaviours were measured using the Korean version of the Climate, Health, and Nursing Tool. Positive and negative future cognition were measured using the Korean version of the Future Event Questionnaire. Environmental sustainability attitude was measured using the Korean version of the Sustainability Attitudes in Nursing Survey-2. Multiple regression analysis was used to identify the factors affecting environmental sustainability attitudes.
Motivation, concern and behaviours at work were factors affecting environmental sustainability attitudes. Motivation was a pivotal influencing factor. Better scores for environmental sustainability attitudes were specifically correlated with higher scores for motivation, concern and behaviours at work.
Nurses' motivation, climate change concern and pro-environmental workplace practices should all be considered to improve their attitudes towards environmental sustainability.
To enhance nurses' environmental sustainability attitudes and behaviours, nurse educators must educate them to increase their motivation for climate action.
Nurses are increasingly expected to contribute to environmental sustainability. Hence, awareness of climate change and environmental sustainability among nurses must be improved, and nursing engagement and action encouraged. Nurse educators and managers should explore barriers to pro-environmental behaviour engagement among nurses, examine workplace cultures that encourage pro-environmental behaviours and develop policies/regulations to develop more environmentally sustainable workplaces.
We adhered to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines.
Neither patients nor the public were involved in our research's design, conduct, reporting or dissemination plans. The nurses partook in this study exclusively as research participants and were not involved in any research process.
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
This study aimed to translate the Nurse Prescribing Self-Efficacy Scale (NP-SES) into Chinese and evaluate its reliability and validity.
A systematic methodological framework was used.
The study’s setting was hospitals and nursing schools in Jiangsu province, China.
A convenience sample of 309 practising nurses and nursing graduates was recruited.
The reliability and validity of the scale were assessed. Item screening was based on critical ratio values and item–total correlation coefficients. Validity was evaluated through content validity, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Internal consistency was assessed using Cronbach’s α coefficient and split-half reliability.
EFA identified three common factors, accounting for 78.608% of the total variance. CFA indicated that model fit indices met acceptable thresholds, supporting the scale’s structural validity. Cronbach’s α and split-half reliability for subdimensions ranged from 0.907 to 0.957 and from 0.867 to 0.944, respectively.
The Chinese version of the NP-SES demonstrates good reliability and validity and is suitable for assessing clinical nurses’ self-efficacy in prescribing.
by Yongxin Sun, Xiaojuan Chen, Xinghua Zhang, Xiaohui Cai
Epilepsy is a prevalent neurological condition that impacts a significant number of individuals worldwide. Patients’ physical and mental health, as well as their daily activities, are significantly affected by seizures, necessitating prompt diagnosis and treatment. The automatic detection of epilepsy using electroencephalogram (EEG) signals has been a significant area of research. Nevertheless, the majority of current methods are based on intricate feature engineering processes that require the extraction and selection of a large number of features to identify the most discriminative feature sets. This results in a high level of algorithmic complexity, inadequate robustness, and inadequate interpretability, which complicates the provision of theoretical support to clinicians. This paper proposes a pathophysiology-driven, interpretable machine learning algorithm to address the limitations of current EEG-based epilepsy detection methods, which include poor interpretability and complex feature engineering. We developed a low-dimensional, interpretable feature combination consisting of only five features and systematically validated its discriminative capability across various epilepsy phases by innovatively integrating electrophysiological markers of epileptic seizures with nonlinear dynamical properties. In the binary classification of seizure versus non-seizure EEG segments, the XGB classifier achieved the highest accuracy of 98.73% and an F1 score of 98.57%. Classification accuracy for interictal versus ictal periods reached 95.33%, with an F1 score of 95.27%. In the challenging ternary classification task encompassing preictal, interictal, and ictal periods, the model achieved a respectable accuracy of 86.3% and an F1 score of 85.79%. Cross-database validation yielded a maximum accuracy of 82.17% and an F1 score of 81.99%, confirming the proposed features’ robust generalization capability and transformative potential. This feature set exhibits outstanding and stable performance across all models, as demonstrated by evaluations across two public datasets using five machine learning classifiers. In addition, SHAP values quantified the contribution of each feature to predictions, thereby providing a transparent decision-making rationale that substantially improves the algorithm’s interpretability and clinical utility.To examine the trajectories of nursing care during the critical and intensive phases after coronary artery bypass graft surgery, using standardised electronic nursing records.
Retrospective observational study.
The electronic nursing records of 122 patients who underwent coronary artery bypass graft from a tertiary hospital were collected between September 2021 and September 2023. Among the 287,360 extracted nursing statements, the 427 most frequent statements were mapped to SNOMED CT. Nursing data were categorised into pre- and postoperative phases, and a heatmap was used to visualise daily nursing care trends during the first 8 days post-surgery.
In total, 287,360 nursing statements were extracted and semantically mapped, with 90.9% linked to pre-coordinated SNOMED CT concepts. The results showed that in the acute postoperative phase, clinical priorities included respiratory management and surgical drain care. As recovery progressed, priorities expanded to include pressure injury prevention, safety monitoring, and effective interdisciplinary communication.
The analysis using standardised nursing records identified dynamic care patterns after coronary artery bypass graft surgery and supports the development of disease-specific, evidence-based nursing practice guidelines.
Support for evidence-based nursing care for patients undergoing coronary artery bypass graft surgery.
This study addressed the limited development of nursing-focused clinical practice guidelines by demonstrating how real-world nursing data can be leveraged to develop disease-specific, evidence-based guidance. By mapping electronic nursing records to international standard terminology, the study advanced a methodological approach for systematically capturing and analysing nursing care trajectories over time. The findings reveal dynamic patterns of nursing interventions during postoperative care and provide empirical support for developing standardised, data-driven nursing guidelines, ultimately strengthening evidence-based practice in acute and critical care settings.
Strengthening the Reporting of Observational Studies in Epidemiology guidelines.
This study did not include patient or public involvement in its design, conduct, or reporting.
FreshRSS 