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Perioperative myocardial injury (PMI) is a common complication following non-cardiac, particularly thoracic, surgery and is associated with increased cardiovascular risk. Although guidelines recommend cardiac biomarker monitoring to detect PMI, its implementation in routine clinical practice remains limited.
To evaluate the combined use of high-sensitivity cardiac troponin I (hs-cTnI) and N-terminal pro-brain natriuretic peptide (NT-proBNP) in predicting major adverse cardiovascular events (MACE) following elective thoracic surgery, and to determine whether NT-proBNP provides incremental prognostic value beyond hs-cTnI alone.
Multicentre observational cohort study.
Conducted between February 2021 and November 2023 in three Spanish tertiary hospitals.
Patients aged ≥45 years scheduled for elective thoracic surgery involving lung resection (pneumonectomy, lobectomy, bilobectomy or segmentectomy) under general anaesthesia. Exclusion criteria included urgent or non-thoracic surgery, active infection or sepsis and a history of severe heart failure (ejection fraction
Combined measurement of hs-cTnI and NT-proBNP at baseline (preoperatively) and at 24 and 48 hours postoperatively.
PMI was defined as hs-cTnI ≥45 ng/L at 24 and/or 48 hours or a ≥20% increase from baseline in patients with elevated preoperative concentrations.
Among 475 patients, PMI occurred in 11.8%. PMI had higher rates of prior stroke (12.5% vs 2.9%; p=0.004), smoking history (85.7% vs 64.0%; p=0.001) and severe renal dysfunction (7.1% vs 0.7%; p=0.001), with similar Revised Cardiac Risk Index distribution. Patients with PMI also had greater postoperative elevations of hs-cTnI and NT-proBNP (p
Combined hs-cTnI and NT-proBNP assessment improves perioperative cardiovascular risk stratification beyond ischaemia.
Intensive care units (ICUs) can be a particularly challenging environment for patients who are mentally vulnerable. In addition to the physical stress associated with critical illness and its management, there are physiological and psychosocial factors that can negatively impact a patient’s mental health. Approximately half of ICU survivors will experience post-intensive care syndrome, a set of emotional, neuropsychological and physical sequelae that can significantly affect patients’ functionality and quality of life, both in the short and long term. The main objective of this study is to investigate whether the ICU Recovery Answers (ICURA) digital follow-up platform can effectively detect emotional and cognitive problems in critically ill patients and its impact on functionality and health-related quality of life during the first year after ICU discharge.
Multicentre longitudinal prospective study involving ICU adult patients, with randomised follow-up comparing a telemedicine monitoring programme versus usual medical care during 1 year after discharge. A total of 360 participants will be recruited during their ICU admission in two hospitals in Spain. Efficacy outcomes will focus on participants’ level of functioning, assessed with the WHO Short Disability Assessment Schedule, and quality of life, measured with the 12-Item Short Form Survey at 1, 6 and 12 months after ICU discharge. Emotional state and cognitive impairment will be evaluated using the Patient Health Questionnaire-9, Generalised Anxiety Disorder-7 and Treatment-Outcome Post-Traumatic Stress Disorder Scale and the Montreal Cognitive Assessment by telephone at 1, 3, 6, 9 and 12 months after ICU discharge.
The implementation of this project is expected to have a direct impact on the satisfaction of ICU survivors, improving their well-being, personalised follow-up and quality of life. Results from this study will be disseminated at various scientific conferences, national and international meetings, and will be shared with the general public and other relevant parties. The dissemination of these results will occur through scientific publications, allowing the medical and scientific community to benefit from the study’s findings. Ethics approval from the Ethics Board of Parc Taulí Foundation and Balearic Islands with reference numbers 2022/3031 and IB 5072/22 PI: Protocol version 1 of 18 November 2022.
To conduct a concept analysis of ‘safe mobility’, with specific application in hospitalised older adults, identifying its defining attributes, antecedents and consequences.
The promotion of safe mobility is essential for maintaining the functionality of hospitalised older adults. However, this idea is not yet clearly defined in the scientific literature, requiring a conceptual analysis for better understanding and applicability in nursing practice.
Concept analysis.
The concept analysis methodology of Walker and Avant was employed, consisting of eight steps. Sources from the scientific literature (BDENF/VHL, Scopus, CINAHL/EBSCO, Embase, Web of Science, PEDro, MEDLINE/PubMed and CAPES Thesis and Dissertation Catalogue, as outlined in a scoping review previously published by the authors) and terminologies from dictionaries and nursing practice, such as SNOMED CT, ICNP, NANDA, NIC and NOC, were analysed.
The concept of ‘safe mobility’ does not have a consolidated definition but was identified through three defining attributes: active movement, prevention of fall-related harm and prevention of immobility-related harm. The antecedents include the older adults' conditions, adaptation of the hospital environment, training of the multidisciplinary team, patient behaviour and family involvement. The consequences involve the maintenance of functionality, improvement of quality of life, reduction of hospital length of stay and costs, as well as a decrease in rates of readmission, referrals to long-term care institutions and mortality.
The concept analysis revealed that safe mobility involves promoting active movement and preventing harm related to both immobility and falls.
Strategies based on this concept can improve the quality of life of older adults, reduce complications and optimise hospital costs.
This concept analysis examines existing literature and does not require patient-related data collection. The methodological approach does not necessitate collaboration with the public.
This review analyses and synthesises the available evidence on the barriers limiting women's career advancement in nursing. It aims to identify effective interventions to promote gender equity in healthcare leadership through an integrated framework informed by Social Role Theory, Ambivalent Sexism Theory and Theory of Planned Behaviour.
Rapid Evidence Assessment.
The search was conducted on the databases: PubMed, CINAHL Complete, MEDLINE, ApaPsycArticles, ApaPsycInfo between March and May 2025.
The Population–Exposure–Outcome framework guided the formulation of the research question. Two reviewers independently conducted screening, quality appraisal and data extraction.
Eight studies with heterogeneous research designs were included: four literature reviews, three quantitative studies and one qualitative study. The analysis identified four themes: (1) gender pay gap; (2) gender stereotypes and cultural expectations; (3) systemic barriers: organisational structures and institutional culture; (4) organisational strategies for gender equity and female leadership.
Career advancement for female nurses is limited by systemic and internalised constraints that reinforce vertical segregation. Multilevel interventions are needed to dismantle structural inequalities and reshape gender norms within nursing leadership.
Targeted reforms, including transparent promotion criteria, structured mentoring, bias awareness training and inclusive organisational policies, are essential to promote leadership equity, improve workplace justice and foster a sustainable health system.
This study addresses the persistent gender gap in nursing leadership, identifying systemic, cultural and individual barriers to women's career progression. Through a Rapid Evidence Assessment, it proposes a new multilevel theoretical framework. The results support policies and interventions to promote gender equity in nursing leadership.
This review adheres to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines for reporting.
None.
To assess the quality of the Spanish Triage System performed by nurses according to the triage code assigned to each patient and to examine factors associated with the need for re-evaluation after completion of triage.
Retrospective longitudinal observational study.
A retrospective analysis was conducted of patients triaged in the emergency department between 2018 and 2023. Patients triaged by other healthcare professionals and those who did not receive a triage priority level were excluded.
493,211 episodes were analysed. Most were low/intermediate acuity (Level IV 65.4%, Level III 23.9%; Level I 0.1%). Mean time-to-first physician record entry increased as acuity decreased (38 min Level I vs. 81 min Level V), yet recorded time-target compliance was lowest in Levels I–II (23.8% and 14.7%). Re-evaluation occurred more often in high-acuity levels and was independently associated with older age, male sex, lower oxygen saturation and longer emergency department length of stay; compared with Level I, Levels II–III and lower adjusted odds of re-evaluation.
Nurse-led triage demonstrated coherent clinical and operational stratification; however, the lowest recorded time-target compliance in the sickest patients suggests a gap between immediate care and electronic documentation.
Streamline documentation workflows for high-acuity cases and use re-evaluation risk profiles to prioritize monitoring and escalation.
Evidence on nurse-led Spanish Triage System performance and time-documentation quality is limited. Acuity and flow metrics showed expected gradients, but target-time compliance was lowest in Levels I–II; predictors of re-evaluation were also identified. Findings support emergency department nursing, quality improvement and potential benefits for patients attending emergency departments.
STROBE guidelines.
This study did not include patient or public involvement in its design, conduct or reporting.
by Cecilia Aguilar-Vega, Jaime Bosch, Satoshi Ito, Benjamin Ivorra, Hyunkyu Jeong, José Manuel Sánchez-Vizcaíno
African swine fever (ASF) is a lethal disease of swine that has spread across Asia since its introduction in 2018. South Korea first reported the disease in September 2019 in domestic pigs, and since then, more than 4,000 cases have been reported in wild boars during its expansion up to August 2024. Due to the high number of ASF notifications in wild boars in South Korea, contrasted with their scarcity in most Asian countries, analyzing the spatiotemporal spread of the disease in a setting with active surveillance provides valuable insights. In this study, we performed a trend-surface analysis on temporally gridded case data to characterize the overall geographic spread and direction of ASF in wild boars across South Korea, from its emergence to August 2022. Additionally, we propose a novel approach distinct from previous studies, to estimate spread velocity by incorporating an upper threshold to avoid unrealistic values. The model described the spread of ASF in the study area. The disease showed greater expansion in the east of the country. Initially, a south and eastward direction was estimated. The estimated median velocity was 19.53 km/month, with cell-level velocities ranging from 2.45 to 69.99 km/month. Velocity increased notably from autumn 2021 onward and varied substantially across years. Our results show the dynamics of ASF in wild boars of South Korea, providing new evidence of their role in the epidemiology of the disease.
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.
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.
Walking, as a simple, low-cost and easily implemented form of exercise, offers multiple health advantages. The WalkLung trial aims to evaluate the efficacy of a home-based walking exercise and education intervention in promoting early functional recovery after lung cancer surgery.
WalkLung is a multicentre, parallel-group, randomised controlled trial conducted at three hospitals in China, with stratification by study centre. A total of 116 patients with postoperative lung cancer will be randomised in a 1:1 ratio to either the intervention group (home-based walking exercise and education for 4 weeks) or the control group (usual care). The primary outcome is the longitudinal walking difficulty score during the 4-week postdischarge, measured by the validated perioperative symptom assessment for lung surgery scale (0–10 scale), assessed at discharge and weekly for 4 weeks. Secondary outcomes are the 6-min walk test, pulmonary function, complications, physical activity level, quality of life, social functioning, exercise adherence and adverse events. Long-term outcomes (up to 6 months) will be analysed and reported separately. All analyses will use an intention-to-treat approach, with outcome measures analysed as appropriate using generalised estimating equations for repeated measures, and t-tests or 2 tests.
Ethical approval was obtained from the Ethics Committee for Medical Research and New Medical Technology of Sichuan Cancer Hospital (No. SCCHEC-02-2025-091) and all participating subcentres. Written informed consent will be obtained from all participants. The manuscript is based on protocol V.1.0 (2 January 2025). The study findings will be disseminated through peer-reviewed journal publications and conference presentations.
ChiCTR2500103081.
The ‘Wound Hygiene Italia’ project was designed to provide expert-driven recommendations for the assessment, management and monitoring of venous leg ulcers, tailored to diverse settings of care (hospital, ambulatory and home care). The recommendations, developed by a multidisciplinary panel, emphasise the implementation of the Wound Hygiene strategy, a systematic approach targeting biofilm as a primary barrier to wound healing. Wound management is structured around four steps: cleansing, debridement, edge refashioning and dressing selection adapted to the wound bed characteristics, care setting and clinical capabilities, embedded in a holistic approach through comprehensive patient assessment and monitoring of overall well-being. The findings highlight the necessity of interdisciplinary collaboration, standardised tools and continuous patient monitoring, as assessed by objective metrics, such as wound size measurements and photographic documentation. Effective communication with patients and caregivers is also essential to ensure treatment adherence and foster trust in the care process. This framework integrates evidence-based practices to optimise outcomes and patient quality of life. By addressing both clinical and psychosocial factors, the recommendations promote a holistic, patient-centred approach that underscores the importance of education, structured follow-ups and tailored interventions.
To explore the perceptions, challenges and strategies of caregivers in managing screen time among children younger than 5 years in the urban and rural areas of Tamil Nadu, India.
Qualitative study using focus group discussions (FGDs).
Rural Health and Training Centre in Vayalanallur, Thiruvallur district and Urban Health and Training Centre, Thiruvanmyur in Chennai district, Tamil Nadu, India.
54 caregivers (27 rural, 27 urban, 46 mothers, 6 grandmothers, 2 fathers) of children younger than 5 years whose screen time exceeded WHO age-specific recommendations participated. Six FGDs were conducted, each with 8–10 participants.
FGDs were conducted in familiar community locations near the participants’ homes to ensure comfort and accessibility. The audio recordings were transcribed verbatim in Tamil and translated into English and analysed using inductive thematic analysis. Coding was manually performed by two independent researchers.
Six major themes emerged: (1) circumstances leading to screen exposure, (2) perceived advantages, (3) perceived disadvantages, (4) challenges in reducing screen time, (5) methods adopted to reduce screen time and (6) strategies for sustaining reduction. Safety concerns, lack of play space and the need to manage household chores were commonly cited reasons for screen use. Although most caregivers were aware of the potential harms, screens were often used to feed or pacify children. Emotional resistance from children, inconsistent family norms and grandparents’ screen use were common barriers. Caregivers employed strategies, such as limiting access, engaging in outdoor play and enrolling children in structured activities. Urban–rural differences were minimal, and thematic saturation was achieved after six FGDs.
Caregivers face multiple, structural and family level challenges in managing screen time among young children. Awareness and interventions need to be tailored to address family dynamics, caregiver fatigue and lack of alternatives. Health providers, community workers and policymakers should collaborate to offer structured support, promote screen-free engagement and ensure child-friendly spaces in urban and rural communities.
by Wafa Dhouib, Meriem Kacem, Oumayma belghayeb, Meriem Oumaima Beji, Cyrine Bennasrallah, Ameni Maatouk, Imen Zemni, Hela Abroug, Ines bouanene, Haythem Sriha, Maha Mastouri, Mourad ghali, Asma Sriha Belguith, Manel Ben Fredj
BackgroundUnderstanding post-infection immunity with the first SARS-CoV-2 variant may provide valuable insights into the duration and effectiveness of the humoral immune response. This study aims to characterize the serological profile of naïve individuals infected with the first SARS-CoV-2 variant.
MethodsA prospective study with repeated measures was conducted in Tunisia, from March to October 2020, during the first wave of COVID-19. Adults confirmed with confirmed COVID-19 were monitored during the first wave of the pandemic. ELISA blood tests were conducted at multiple intervals: day 7, day 14, and at 1, 2, 3, 4, and 6 months post-infection.
Results173 serum samples were collected from immunologically naïve individuals infected with the first circulating SARS-CoV-2 variant, ranging from 7 days to 6 months post-RT-PCR confirmation. The study revealed a robust humoral immune response in most participants, with 94.1% testing positive for IgM anti-N, 88.2% for IgM anti-S, 98% for IgG anti-N, and 100% for IgG anti-S antibodies. Anti-N IgM antibodies peaked at days 14 and 30 with high positive values (>0.260), while anti-S IgM antibodies showed elevated levels (>0.990) at days 7 and 14. For IgG, anti-N antibodies reached their highest levels (>0.810) at month 4, while anti-S IgG antibodies maintained high positive values (>0.490) at days 7 and 14, and remained elevated at months 4 and 6. No significant differences in antibody levels were observed based on gender, age, comorbidities, or symptoms presence.
ConclusionA typical adaptive immune response was observed in naïve individuals infected with the initial SARS-CoV-2 variant, showing typical IgM and IgG antibody production from day 7 to month 6. We specifically investigated immunologically naïve individuals infected with the first circulating SARS-CoV-2 variant, from the earliest stage of infection, a context that is no longer reproducible.
To identify obstacles faced by nurses when using health technologies in Intensive Care Units (ICUs).
Systematic review following PRISMA and registered in PROSPERO.
Six databases were searched. Two reviewers independently screened studies and appraised methodological quality using the Joanna Briggs Institute tool. Data were synthesized narratively.
Eight studies met eligibility criteria. Barriers clustered around limited training and technical competence, shorter professional experience, increased workload with multiple devices, organizational culture, and reduced direct patient contact, which may undermine patient-centered care. Heterogeneity of study designs precluded meta-analysis.
Obstacles to technology use in ICUs arise from individual and organizational factors. Addressing these barriers requires structured education, mentoring for novice nurses, workload management, and supportive policies that integrate technology without displacing bedside care.
Nursing leaders and educators should implement ongoing, ICU-specific technology training and mentoring. Managers and policymakers must ensure adequate staffing and promote Health Technology Assessment to align device implementation with clinical needs, safeguarding patient safety and the human dimensions of care.
by Renata dos Santos Guarnieri, Guilherme Sá de Oliveira, Kaylaine Marques Ferreira, Aline Penna-de-Carvalho, Vanessa Souza-Mello, Sandra Barbosa-da-Silva
High-intensity interval training (HIIT) is an effective intervention for improving metabolic health and mitigating metabolic dysfunction-associated steatotic liver disease (MASLD). Nonetheless, the stability of these benefits throughout detraining periods and upon weight regain remains inadequately characterized. This study aimed to evaluate whether hepatic improvements induced by HIIT are sustained during detraining, even after body weight regain. Eighty male C57BL/6 mice were fed either a control (10% fat) or a high-fat (HF) diet (50% fat) for 12 weeks. Following this period, the animals were allocated to groups subjected to continuous HIIT or intermittent training cycles (each lasting 3 weeks). The outcomes assessed included body mass (BM), glucose tolerance, lipid profiles, liver enzyme levels (aspartate aminotransferase and alanine aminotransferase), hepatic steatosis, and the expression profiles of genes associated with lipogenesis (Srebf1, Mlxpl, and Fas), β-oxidation (Ppara and Cpt1a), and endoplasmic reticulum (ER) stress (Atf4, Ddit3, and Gadd45). Compared with the sedentary HF-NT condition, continuous HIIT reduced BM and improved glucose tolerance. Intermittent training (HF-TNT, HF-NTN) preserved metabolic benefits and reduced triglyceride and cholesterol levels. Notably, hepatic steatosis was significantly alleviated in all training groups but persisted even after detraining. Additionally, HIIT downregulated the expression of lipogenic genes and upregulated the expression of genes involved in β-oxidation. The levels of markers indicating ER stress were attenuated by HIIT, with a sustained reduction during periods of detraining. HIIT-induced metabolic and hepatic improvements persist partially during detraining, despite weight regain. These findings underscore the therapeutic value of continued or periodically repeated physical training in mitigating the adverse effects of an HF diet and preventing the progression of metabolic disorders such as MASLD.
by Ruyi Li, Shaoping Jiang, Zhaoke Pi, Guisu Chen
Pathological and neuroimaging changes in the cerebellum of Alzheimer’s disease (AD) patients have been well documented. However, the changes in cerebellar amyloid plaque deposition connectivity networks during AD progression based on positron emission tomography (PET) imaging remain unclear. We selected 18F-florbetapir PET (18F-AV45 PET) imaging data from the Alzheimer’s disease neuroimaging initiative (ADNI) dataset (n = 612) and employed graph theoretical analysis to examine amyloid plaque deposition connectivity, comparing the connectivity differences across cognitively normal (CN), early mild cognitive impairment (EMCI), late mild cognitive impairment (LMCI), and AD groups. In addition, we combined graph theoretical features with the standardized uptake value ratio (SUVR) of regions of interest and applied them to machine learning models for the early diagnosis of AD. As cognitive decline progressed, significant changes in cerebellar network connectivity were observed across groups. Regarding local connectivity, changes in betweenness centrality were evident in multiple cerebellar regions at different cognitive stages. Cerebellar amyloid networks revealed early changes in amyloid plaque deposition connectivity. The machine learning model achieved an area under the curve (AUC) of 0.950 for distinguishing AD from CN, 0.995 for CN vs. EMCI, 0.964 for EMCI vs. LMCI and 0.632 for LMCI vs. AD. These findings provide new insights into the cerebellar pathological features of AD and highlight the potential of this approach for early identification and prediction of AD progression.
To explore the relationship between sleep and cognitive frailty in older adults.
A systematic review and meta-analysis.
The Web of Science, Cochrane Library, CINAHL, Embase, PsycINFO and PubMed databases were searched from inception to October 28, 2024.
Two investigators independently conducted literature screening, data extraction and quality assessment. The Joanna Briggs Institute Critical Appraisal Tool and Newcastle–Ottawa Scale were used to evaluate methodological quality. This review followed PRISMA guidelines.
This review included 13 articles involving 14,223 individuals, and 10 studies included in the meta-analysis. Across 13 studies, the overall prevalence of cognitive frailty was 25%. Sleep problems were categorised into four categories; the results reported that poor sleep quality, long sleep time and insomnia were correlated with the presence of cognitive frailty. However, the relationship between short sleep time and cognitive frailty was not significant.
This review quantitatively suggested that sleep parameters such as long sleep time, insomnia and poor sleep quality were correlated with the presence of cognitive frailty. Future research should adopt longitudinal designs and use validated instruments to measure both quantitative and qualitative aspects of sleep, thereby facilitating a thorough examination of the strength of the relationship between sleep and cognitive frailty, as well as the direction of causality.
The review highlights the need to integrate comprehensive sleep assessments and targeted interventions into nursing care plans for older adults to enhance their sleep health. The findings will provide support for the development of effective interventions to prevent and manage cognitive frailty in the older population.
No patient or public contribution.
To systematically review published studies on fall risk prediction models for inpatients.
A systematic review and meta-analysis of prognostic model studies.
A literature search was carried out in Web of Science, the Cochrane Library, PubMed, Embase, CINAHL, SinoMed, VIP Database, CNKI and Wanfang Database. The search covered studies on risk prediction models for falls in inpatients from inception to March 9, 2024.
The research question was formulated using the PICOTS framework. Data extraction was performed following the Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies (CHARMS). The quality of studies related to risk prediction models was evaluated with the Prediction Model Risk of Bias Assessment Tool (PROBAST). Meta-analysis was conducted using STATA 18.0 software.
A total of 15 studies were included, with 13 eligible for meta-analysis. Only 2 of these 15 studies had external validation. The reported AUC values ranged from 0.681 to 0.900. The overall risk of bias was high, mainly attributed to inappropriate data sources and improper processing in the analysis domain. The pooled AUC from the meta-analysis was 0.799. After reviewing the predictors included in various models, FRIDs, fall history, age, gait, mental status, gender and incontinence were relatively common.
The fall risk prediction model for inpatients performs well overall, but it has a high risk of bias. Future development of risk prediction models should strictly adhere to the PROBAST, combine clinical reality, optimise study design and improve methodological quality.
This study provides medical professionals with a clear overview of constructing fall risk prediction models for inpatients. The fall-related predictors in these models help healthcare providers identify high-risk patients and implement preventive strategies. It also offers valuable insights for the development of future prediction models.
This study did not include patient or public involvement in its design, conduct, or reporting.
Symptom networks offer a new approach to explore the relationships among various symptoms and provide information for optimising precise symptom management strategies. However, no previous studies have identified the central symptoms of multidimensional frailty.
A cross-sectional study was conducted from December 2023 to March 2024 in China.
A total of 933 community-dwelling older adults (aged 60 years or older) in China were recruited via convenience sampling.
Sociodemographic variables, clinical variables and scores on the Tilburg Frailty Indicator were assessed in all participants. The qgraph package and IsingFit package of R software were applied to construct the symptom network. Three node centrality indices (strength, betweenness and closeness) and the expected influence were calculated to identify the central symptoms of the multidimensional frailty network. All statistical analyses were performed in R.
A total of 933 individuals were surveyed in this study, including 472 (50.6%) females. The median age of all participants was 71.0 years. A total of 408 subjects were assessed as multidimensional frailty. The prevalence of multidimensional frailty was 43.7%. The centrality indices revealed that ‘difficulty in walking’, ‘difficulty in maintaining balance’, and ‘feeling down’ were the symptoms with the largest strength and expected influence values.
This study primarily utilised network analysis to construct a symptom network of multidimensional frailty among community-dwelling older adults. The findings revealed that difficulty in walking, difficulty in maintaining balance, and feeling down were the most central symptoms.
This study identified the central symptoms of multidimensional frailty in older adults, which may serve as primary intervention targets. Nursing staff could incorporate targeted physical and psychological interventions into person-centred care plans.
This study was reported in accordance with the STROBE guidelines.
No patient or public contribution was involved in this study.
by Takashi Kitagataya, Anuradha Krishnan, Kirsta E. Olson, Florencia Gutierrez, Michelle Baez-Faria, Maria Eugenia Guicciardi, Kevin D. Pavelko, Adiba I. Azad, Gregory J. Gores
AimThe underlying mechanisms contributing to cholestatic liver injury remain unclear. The pro-inflammatory leukocyte-restricted cytokine interleukin-17A (IL-17A) has been implicated in human cholestatic liver injury. However, mechanistic insights are lacking and require further exploration in preclinical models. Herein, we examined the effect of IL-17A genetic ablation in a mouse model of cholestatic liver injury.
MethodAge and gender-matched littermate wild type (WT) and Il-17a-/- C57BL/6 mice were fed an intermittent 0.1% 3,5-diethoxycarbonyl-1,4-dihydrocollidine (DDC) diet for 21 days to induce cholestatic liver injury or a control diet.
ResultsAs compared to WT littermates, Il-17a-/- mice displayed more abundant desmin-positive myofibroblasts and increased fibrosis. NanoString analysis of intrahepatic leukocyte populations using a fibrosis-related gene panel identified upregulation of Tnfsf14 (encoding the protein LIGHT) in the DDC-fed Il-17a-/- mice. Although mass cytometry identified an increase in myeloid cells in both genotypes of the DDC-fed mice, we could not identify LIGHT expression in this cell lineage. Instead, the upregulation of LIGHT expression was largely restricted to a CD4+ T cell population as assessed by flow cytometry. Enhanced LIGHT expression was observed in a Th1+ CD4+ T cell population. LIGHT activated primary human hepatic stellate cells in vitro, suggesting that LIGHT stimulation of hepatic fibrogenesis may be direct.
ConclusionTaken together, these data suggest that IL-17A restrains expression of the profibrogenic cytokine, LIGHT, by Th1-polarized CD4+ T cells, and implicate a role for LIGHT in cholestatic fibrogenesis in DDC-fed mice; a finding which requires validation in additional models.
FreshRSS