Conectar
This study aimed to systematically delineate the clinical characteristics and identify the key risk factors associated with methicillin-resistant Staphylococcus aureus (MRSA) infections in burn patients, thereby informing targeted preventive measures and therapeutic strategies. This retrospective study included 270 burn patients with Staphylococcus aureus (S. aureus) infections at a Chinese centre (2019–2022), comprising 127 MRSA and 143 methicillin-susceptible S. aureus (MSSA) cases. Clinical data were analysed to assess infection profiles, resistance patterns and MRSA risk factors. Amongst the infections, 68.1% (184/270) were caused by multi-drug resistant S. aureus, specifically 47.0% (127/270) by MRSA and 21.1% (57/270) by MSSA. The predominant resistance pattern (penicillin, oxacillin, gentamicin, clindamycin, erythromycin, ciprofloxacin, levofloxacin, tetracycline) accounted for 23.9% (44/184) of multidrug-resistant cases. The overall MRSA detection rate was 47.0% (127/270). Univariate analysis identified multiple factors significantly associated with MRSA infection (p < 0.05). Multivariate analysis identified the use of ≥ 3 types of antibiotics as an independent risk factor for MRSA infection in burn wounds. The detection rate of multi-drug resistant S. aureus (including MRSA) infections in burn wounds is relatively high. A number of variables are the influencing factors for MRSA infections. Medical personnel should adopt infection control measures to block the transmission of multi-drug resistant bacteria (including MRSA).
by Qian Li, Yilun Huang, Samuel Yeung-Shan Wong, Winnie W. S. Mak, Xue Yang
Background and objectiveA well-established link exists between depression and Internet gaming disorder (IGD) at the individual level, while it remains unexplored within the family system. This study aims to investigate the interdependent relationship between parent and adolescent depression and IGD, and to identify the potential mechanisms.
MethodsA cross-sectional dyadic study was conducted with adolescents and their parents (primary caregiver) in Hong Kong. Adolescents completed anonymous surveys in classrooms, and parents completed online surveys via WhatsApp or phone interviews. The Actor-Partner Interdependence Model (APIM) and Actor-Partner Interdependence Mediation Model (APIMeM) were utilized to test the interdependence and mediators between depression and IGD in parent-child dyads, respectively.
ResultsA total of 1,277 parent-child dyads were included. Depressive symptoms in parents (β = 0.072) and adolescents (β = 0.273, both p Conclusions
Adolescent depressive symptoms were positively associated with their own and parental IGD symptoms, which were mediated by adolescent-reported family relationships and adolescent gaming time. The influence of adolescents’ mental health problems on parents’ problematic behaviors within the family system should not be overlooked.
by Taotao Peng, Yu Li, Yukun Ren, Mi Yang, Zonghong Long, Dukun Zuo, Lu Huang, Huawei Liu, Zhenxin Duan, Hong Li
Pulmonary complications in non-pulmonary sepsis (PC-NPS) are the leading cause of morbidity and mortality in the intensive care unit. Early prevention and monitoring are paramount since the prevention strategies remain limited yet. Magnesium, an essential electrolyte involved in inflammation and vascular regulation, may influence the development of such complications. This retrospective cohort study used data from the MIMIC-IV database to explore the relationship between baseline serum magnesium levels and PC-NPS among 4,836 patients with non-pulmonary sepsis. Survival analysis demonstrated that patients who developed PC-NPS had significantly higher 90-day mortality compared with those without lung injury. When stratified by baseline serum magnesium quartiles, patients in the highest quartile (>2.1 mg/dL) showed the poorest survival. Multivariable logistic regression confirmed that elevated magnesium was independently associated with increased risk of PC-NPS, and restricted cubic spline modeling revealed a U-shaped, nonlinear association between baseline magnesium concentration and PC-NPS risk. Inflection points at 1.26 and 1.91 mg/dL identified a range of relatively lower risk. These findings suggest that baseline serum magnesium levels exhibit a U-shaped relationship with the risk of PC-NPS. Evaluating these levels may aid in clinical prognostication and the exploration of underlying mechanisms.This study aimed to investigate the association of the triglyceride-glucose (TyG) index with the risk of acute myocardial infarction (AMI) and all-cause mortality in patients with coronary artery disease (CAD), and to inspect whether AMI mediates the relationship between TyG index and mortality.
A large-scale, retrospective cohort study.
This single-centre study was conducted at a tertiary academic hospital in South China. The association between the TyG index and AMI was assessed using multivariable logistic regression, with progressive adjustment for demographic and clinical covariates. Cox proportional hazards models were used to estimate the HRs for all-cause mortality associated with TyG index. Restricted cubic splines and mediation analysis were employed to examine non-linear relationships and the mediating role of AMI.
A total of 20 125 patients diagnosed with CAD during hospitalisation between January 2020 and February 2025 were initially enrolled. After applying exclusion criteria (insufficient data), 18 245 participants were included in the final analysis.
We examined the association of the TyG index with the risk of AMI, as well as its association with all-cause mortality across different CAD subgroups.
The association between the TyG index and all-cause mortality was significantly modified by AMI status (P for interaction
An elevated TyG index independently predicts the risk of AMI in patients with CAD. Its prognostic value for mortality, however, is critically dependent on the presence of AMI: while a higher TyG index is associated with increased mortality in patients with AMI, moderately elevated TyG levels (Q2–Q3) are associated with lower mortality, whereas the highest quartile shows no significant association. Mediation analysis further reveals that AMI significantly mediates the association between TyG index and mortality, highlighting the importance of AMI prevention in mitigating the adverse prognostic impact of insulin resistance in the CAD population. These findings warrant validation in prospective studies.
by Yishu Wang, Ling Zhu, Shuna Jin, Yuhan Wang, Zhaoxiang Zeng, Yunzhou Zuo, Xingliang Xiang, Xugui Li, Rongzeng Huang, Chengwu Song
BackgroundSex hormones play critical roles in the pathogenesis and progression of osteoarthritis (OA), yet the hormone-related molecular networks remain poorly defined. This study aimed to identify candidate sex hormone-associated genes in OA and to explore their potential functional enrichment and immune-related characteristics using bioinformatics analysis.
MethodsOA gene expression data were obtained from the GEO database and integrated with candidate sex hormone-associated genes retrieved from GeneCards. The R package “limma” was then used to identify differentially expressed genes (DEGs) and sex hormone-associated DEGs (SADEGs). OA-associated SADEGs, termed OA-SADEGs, were selected using weighted gene co-expression network analysis (WGCNA), and their potential biological functions and pathways were explored by GO and KEGG enrichment analyses. Hub genes were identified using three machine learning models. xCell analysis was used to estimate immune infiltration and its associations with hub genes, and hub gene expression was further evaluated in external datasets and peripheral blood samples.
ResultsWe identified 32 sex hormone-associated genes in OA, enriched in extracellular matrix remodeling, receptor signaling, and antigen presentation pathways. Three candidate hub genes (LOXL1, HLA-DRA, and CYBB) were consistently upregulated in OA and showed significant correlations with immune infiltration scores. xCell analysis identified 13 differentially enriched immune cell types, of which three were associated with hub genes. External dataset analysis and peripheral blood qRT-PCR showed upregulation of LOXL1, HLA-DRA, and CYBB in OA samples.
ConclusionThis study integrated bioinformatics and immune analyses to identify candidate sex hormone-associated genes in OA. These findings provide associative bioinformatics evidence for sex hormone-associated molecular features in OA.
by Ye Xu, Peimin Hua, Ye Shen
BackgroundSevere maternal morbidity (SMM) is a significant public health concern. This study analyzed the incidence, trends, causes, and pregnancy outcomes of SMM in Wuxi to inform future clinical and public health strategies.
MethodsA retrospective analysis was conducted on 315 critical maternal cases identified from 156,435 deliveries in Wuxi between October 1, 2020, and September 30, 2024. Data were extracted from a citywide near-miss maternal surveillance system. Statistical analyses were performed using SPSS 25.0, employing chi-square tests and Cochran-Armitage trend tests to evaluate trends, and chi-square tests for comparisons between groups.
ResultsThe overall incidence of SMM was 0.20%. Initially, this rate remained stable at 0.19% across the first three cycles (P > 0.05); however, it significantly increased to 0.24% during the cycle from October 2023 to September 2024 (χ² = 5.24, P = 0.02). This increase was closely associated with a rise in the proportion of women of advanced maternal age (≥35 years), which reached 26.03% (χ² = 11.76, P = 0.001). Over time, the distribution of risk levels shifted. Initially, the high-risk group was dominant (63.29%), but in recent cycles, the moderate-risk group became more prominent (64.44%). The moderate-risk group was associated with a higher rate of adverse outcomes (25.00–25.71%) compared to the high-risk group (17.11–20.69%; χ² = 10.83, P = 0.01). Direct obstetric factors were the primary causes, accounting for 79.05% of cases, with obstetric hemorrhage being the most prevalent (53.97%). In contrast, the proportion of cases attributable to indirect obstetric factors increased from 17.81% to 26.67%, primarily due to heart disease and infectious diseases.
ConclusionImproving maternal safety involves dynamic risk assessments, tiered referrals for moderate-risk pregnancies, better multidisciplinary management of complications, optimized emergency responses in primary care, and refined regional referral systems to reduce preventable SMM and mortality.
by Haixu Ji, Wei Li, Jinhua Zhang, Xuyan Liu, Jing Wang, Guanglei Dong
BackgroundWith the accelerating aging of China’s population, Baduanjin has been promoted as a community-based exercise to enhance public health, particularly among older adults with chronic diseases. As a traditional Chinese exercise with a long history and profound cultural connotations, Baduanjin has attracted a large number of practitioners. However, the factors underlying the sustained practice of Baduanjin remain insufficiently explored.
ObjectiveThis study aims to explore the factors underlying the persistence of older adults with chronic diseases in practicing Baduanjin.
MethodsA qualitative research approach was adopted in this study. 25 practitioners participated in semi‑structured face‑to‑face interviews. Thematic analysis was employed to analyze the data and generate core themes.
ResultsThe factors driving community-dwelling older adults with chronic diseases to persist in practicing Baduanjin were analyzed across five dimensions: perceived safety and learning-practice ease, improvements in physical health, promotion of mental well-being, enhancement of social functioning, and appreciation of traditional culture.
ConclusionCommunity-dwelling older adults with chronic diseases maintain long-term Baduanjin practice not only due to its perceived safety and ease of learning and practice, but also because it embodies the essence of traditional Chinese culture. Moreover, regular practice contributes to improved physical health, promoted mental well-being, and enhanced social functioning in this population. Accordingly, Baduanjin shows considerable potential as a community-based exercise intervention to support health promotion among community-dwelling older adults with chronic diseases.
by Jie Yao, Changshuai Zhou, Liren Ding
BackgroundLung adenocarcinoma (LUAD) is a predominant subtype of lung cancer associated with an unfavorable prognosis. However, the roles of the tumor microenvironment (TME) and Kynureninase (KYNU) in LUAD remain largely unclear. This study aimed to investigate the potential role of KYNU in macrophages and LUAD.
MethodsAll LUAD related data were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. The expression of KYNU was analyzed across different cell types following dimensionality reduction analysis. Immune cell infiltration and immunotherapy response prediction were performed using CIBERSORT and TIMER, respectively. Gene set variation analysis (GSVA) was employed for functional enrichment.
ResultsAmong all immune cells in LUAD, KYNU was primarily expressed in monocytes and macrophages. The upregulated genes in KYNU+macrophages group were significantly enriched in in gene ontology (GO) terms related to antigen processing and presentation. There were increased MHC-I/ MHC-II signal interactions between KYNU+macrophages and B cells as well as T cells. In LUAD patients with higher proportions of KYNU+macrophages, a significantly greater number of patients benefited from immunotherapy (p = 0.033). GSVA results indicated that the MHC pathway was significantly activated in high KYNU+macrophage group.
ConclusionsKYNU is primarily in LUAD macrophages, contributing to the distinct immune features and correlating with the enhanced antigen presentation in LUAD. This study preliminarily confirms that KYNU may serve as a potential biomarker for immunotherapy.
To examine the trajectories, core characteristics, and maintenance factors of social avoidance in patients with breast cancer during the first postoperative year.
Longitudinal, explanatory sequential mixed-method design.
This longitudinal study enrolled 176 postoperative breast cancer patients, conducting six follow-up assessments over 1 year. Latent class growth analysis was employed to identify heterogeneous trajectories of social avoidance behaviour, with multivariate logistic regression subsequently analyzing predictive factors. Building on these quantitative findings, semi-structured in-depth interviews were administered to target individuals identified through the analysis. Phenomenological methods were then utilized to elucidate core manifestations and maintenance factors of social avoidance.
Among the 176 enrolled breast cancer patients, 138 completed all six follow-up assessments. Latent class growth analysis identified two distinct subgroups with significant differences in social avoidance trajectories: ‘persistent high social avoidance’ and ‘persistent low social avoidance group’. Logistic regression revealed melancholic temperament as an independent risk factor for ‘persistent high social avoidance group’, while choleric temperament demonstrated protective effects. Phenomenological analysis of qualitative data systematically identified four core themes: (1) affective manifestations, (2) behavioural patterns, (3) psychological drivers, and (4) environmental determinants of social avoidance.
This study revealed heterogeneous dynamic trajectories of social avoidance behaviour in breast cancer patients, with core manifestations encompassing both affective and behavioural dimensions, sustained by multiple factors of personality, psychology, and environment.
This mixed-methods study systematically examined the developmental trajectories, core manifestations, and sustaining factors of social avoidance behaviour in breast cancer patients. The results provide robust evidence to inform precision screening for social avoidance risk, early prevention initiatives, and tailored intervention strategies in clinical nursing practice.
Journal article reporting standards for mixed-methods research.
No patient or public contribution.
To provide evidence for selecting and developing reliable clinical assessment tools for hypoglycemia in diabetic kidney disease patients during haemodialysis.
Review.
Systematic searches were performed in 9 Chinese and English databases to collect literature regarding the development of hypoglycemia risk prediction models in haemodialysis patients with diabetic kidney disease. Two reviewers independently performed literature screening, data extraction, risk-of-bias assessment, and applicability evaluation. The Prediction Model Risk of Bias Assessment Tool was used to assess the risk of bias and applicability of the included studies. Meta-analysis was conducted using R software.
CNKI, Wanfang, VIP, CBM, PubMed, Cochrane Library, EMbase, Web of Science, and CINAHL. The search period covered from the establishment date of each database to December 2025.
Six studies, comprising six prediction models, were included. Two studies performed internal validation, and three conducted external validation. All models reported the area under the curve, ranging from 0.813 to 0.866, and calibration measures. Four studies were rated as having a high risk of bias, while all six demonstrated good overall applicability. The meta-analysis showed that the pooled AUC value of the six studies was 0.846 (95% CI: 0.823–0.867).
Research on hypoglycemia risk prediction models in haemodialysis patients with diabetic kidney disease remains in the developmental stage. Although the included prediction models exhibited satisfactory apparent discriminatory ability and clinical applicability, most of the original studies suffered from a high risk of bias and lacked adequate validation. The true predictive performance and clinical application value of these models remain to be further verified. Accordingly, routine and unconditional clinical application is not recommended at this stage. Future studies should include more high-quality, multicenter external validation and develop models with high generalizability, favourable clinical applicability, and robust predictive performance to facilitate early identification of hypoglycemia risk in this population.
This study systematically evaluated the hypoglycemia risk prediction models for diabetic kidney disease patients during haemodialysis, and the research on hypoglycemia risk prediction models for maintenance haemodialysis patients during dialysis is still in the development stage. This study provides a reference for clinical medical staff to select or develop hypoglycemia risk prediction and assessment tools for diabetic kidney disease patients during haemodialysis.
This study was conducted in accordance with the relevant guidelines of the EQUATOR Network and followed the TRIPOD-SRMA Checklist.
No patient or public contribution.
PROSPERO: CRD420251243352
by Wenze Yu, Hanglie Chen, Lihua Shi, Guofang Gao, Haihua Wang
BackgroundDiabetic cardiomyopathy (DCM) is a diabetes-related myocardial disorder causing fibrosis, hypertrophy, and progressive diastolic and systolic dysfunction. This study aims to explore how metabolic, inflammatory, and fibrotic mechanisms in non-cardiomyocytes drive DCM to reveal new therapeutic targets.
MethodsSingle-cell RNA sequencing (scRNA-seq) was performed to investigate the role of non-cardiomyocytes in DCM, enabling the identification of cell types, gene expression dynamics, and intercellular communication networks in patients with type 2 diabetes. The scRNA-seq data were obtained from the GEO to investigate cell-type-specific contributions and heterogeneity across tissues. Metabolic pathway scores were calculated using scMetabolism. Moreover, cell trajectory analysis and cellular communication studies were performed to examine shared and disease-specific cell populations in diabetes and cardiomyopathy. CCK-8, colony formation, Transwell migration and invasion assays were preformed to explore the function of PTPRC in HUVECs.
ResultsUsing SingleR annotation, we identified eight distinct cell types, with NK cells and smooth muscle cells representing the shared cell populations across both diseases. Cell trajectory analysis revealed three distinct branches based on gene expression over pseudotime, and the top differentially expressed genes in each cell type clustering into six categories. Metabolic pathway analysis predicted that epithelial cells, macrophages, and neurons as the most metabolically active across multiple pathways, highlighting metabolic heterogeneity among patient samples. Additionally, four key signaling pathways associated with NK cells and smooth muscle cells were predicted to emphasize the divergence in gene expression across cell types. PTPRC is implicated in diabetes and cardiomyopathy and functions as a positive regulator of HUVEC viability, clonogenic growth, migration, and invasion.
ConclusionThis study demonstrates significant heterogeneity among non-cardiomyocytes in patients with diabetes and cardiomyopathy, highlighting the need for targeted therapeutic interventions to address these differences.
by Sicheng Huang, Xuebao Zhang, Long Chen, Xihe Ni, Ying Fan, Chaomin Zhao, Junfeng Xiao, Feng Ruan
BackgroundA public health emergency information system serves as a critical tool for collecting and analyzing data from sudden public health events, thereby providing a scientific basis for governmental decision-making. However, research on the systematic construction of such information system frameworks within China’s public health infrastructure is lacking.
ObjectiveTaking Zhuhai city as a case study, this study aims to construct a comprehensive public health emergency information system framework applicable to public health departments at the municipal, county, and street/township levels.
MethodsFirst, through a literature review and expert group discussion, the preliminary framework of system indicators is determined. Second, through two rounds of the Delphi method, 41 experts are invited to qualitatively select the system framework indicators, with the aim of obtaining consensus among experts. Finally, the system is improved through application, feedback, and redesign.
ResultsAfter two rounds of consultation, the final system at the city and county levels consists of 5 first-level indicator modules and 21 second-level indicator modules, whereas the system at the city, county, and street/township levels consists of 4 first-level indicator modules and 17 second-level indicator modules. Most of the indicators in the “emergency preparedness” and “emergency response” modules are considered important and should be retained as they can play a role in collecting and analysing information on infectious disease outbreaks through practical applications.
ConclusionThe public health emergency information system constructed in this study can be applied to public health departments such as disease prevention and control centres. Promotion can improve the efficiency of handling infectious disease outbreaks and provide a scientific basis for decision-making analysis.
by Hongzhen Yin, Tong Wang, Changshun Zhong, Yingya Cao, Xiaogan Jiang, Qiancheng Xu, Weihua Lu
Airway foreign-body aspiration in adults is uncommon but can be life-threatening.Flexible bronchoscopy is the standard first-line therapy,but critically ill patients may need extracorporeal life support.This study aims to characterize the diagnosis,management,and outcomes of adult airway foreign-body cases treated at a single center over nearly 12 years to inform a standardized clinical pathway.A single-center retrospective observational study of consecutive patients aged ≥14 years with confirmed airway foreign body who were treated at a tertiary hospital in China were conducted.Medical records of consecutive adolescent and adult patients diagnosed with airway foreign-body aspiration and admitted to the hospital from 01/01/ 2014–30/11/2025 were reviewed.Data included demographics,imaging,extraction method, respiratory support and so on.Descriptive statistics were reported as medians with interquartile ranges or counts and percentages.A total of 41 patients were included,with a median age of 59.5 years(interquartile ranges 51–72) and 65.85% male.Flexible bronchoscopy was attempted as the primary intervention in 38 patients(92.68%) and succeeded in 81.58%(31/38) to remove airway foreign body.Most patients(78.05%) required only nasal cannula oxygen,while nine patients(21.95%) needed advanced support including mechanical ventilation (14.63%),high-flow oxygen(4.88%),and extracorporeal life support (2.44%).At discharge,most survivors had a good neurological outcome,with 36 patients(87.80%) having a Cerebral Performance Categories score of 1.The 28-day survival rate was 92.68%.These findings show that flexible bronchoscopy is an effective first-line therapy,and rigid bronchoscopy or surgery is useful when flexible bronchoscopy fails.In unstable cases,timely extracorporeal life support can bridge to definitive removal.These results support a tiered,multidisciplinary approach incorporating early chest computed tomography,flexible bronchoscopy,and escalation to advanced airway or extracorporeal support.Poststroke cognitive impairment (PSCI) is a prevalent complication of stroke, characterised by deficits in one or more cognitive domains (eg, memory, attention, executive function). Beyond increasing mortality and disability risks, PSCI frequently co-occurs with motor dysfunction, which impairs activities of daily living and reduces quality of life. Due to the complexity of neural networks involved in PSCI, clinical practice currently lacks targeted therapeutic strategies; existing interventions (eg, pharmacotherapy, traditional cognitive training) are limited in scope and variable in efficacy. Here, we developed an innovative dynamic cognitive training system integrated with virtual reality (VR) technology, based on principles of neuroplasticity and multisensory integration. This study aimed to explore the intervention effects of this system on cognitive function in patients with PSCI while incorporating exploratory neuroimaging assessments to provide descriptive and hypothesis-generating information regarding brain functional changes associated with the intervention.
This single-centre, randomised controlled, evaluator-blinded clinical trial will assess the rehabilitative efficacy of VR-based cognitive training in patients with PSCI. A total of 60 patients who had a stroke will be enrolled and randomised to either a conventional rehabilitation group or a VR intervention group. The intervention will last 2 weeks, with five sessions of 60 min each training session per week. During the 60-minute training session, both groups will receive 30 min of conventional rehabilitation training. For the remaining 30 min, the control group will undergo traditional cognitive rehabilitation while the experimental group will be subjected to VR-based cognitive rehabilitation training. The primary outcome measure is the Montreal Cognitive Assessment; secondary outcomes include the Mini-Mental State Examination, Trail Making Test and Stroop Test. Assessments will be conducted at three time points: baseline (T0), immediately postintervention (T1) and 4 weeks after completing the intervention (T2). This study aims to evaluate the preliminary effectiveness of a VR-based intervention in improving multidimensional cognitive function, while incorporating exploratory neuroimaging outcomes to generate hypothesis-forming insights into potential neural correlates.
The trial was approved by the Ethics Committee of Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine (2025–1933-273-02).
The results will be submitted to a peer review journal or at a conference.
ChiCTR2600116040.
Chronic diabetic wounds persist because of impaired angiogenesis, dysregulated transforming growth factor beta activity and delayed matrix remodelling. Non-thermal atmospheric pressure plasma therapy represents a potential non-pharmacologic approach to overcome these barriers. This study compared reactive nitrogen–dominant and reactive oxygen–dominant plasma exposures under identical apparatus conditions in a diabetic wound model. A universal plasma jet operated with nitrogen or argon gas was applied to streptozotocin-induced diabetic rats. Wound area reduction and time to 90% closure were quantified. Histological evaluation assessed re-epithelialisation and collagen deposition and immunohistochemistry measured angiogenesis using cluster of differentiation 31 staining and transforming growth factor beta expression. Nitrogen plasma treatment demonstrated sustained improvement in wound reduction relative to diabetic controls and reached 90% closure on day 19, whereas argon plasma reached this threshold on day 24 and diabetic controls exceeded 30 days. Nitrogen plasma was also associated with an earlier, self-limited angiogenic response characterised by an early cluster of differentiation 31 peak on day 6, together with patterns consistent with enhanced collagen maturation and earlier normalisation of transforming growth factor beta expression. Overall, these findings suggest mechanistic differences between reactive nitrogen–dominant and reactive oxygen–dominant plasma exposures in regulating angiogenesis and matrix remodelling during diabetic wound repair. These results indicate that plasma gas chemistry may influence wound-healing trajectories, supporting the potential of plasma therapy as a translational adjunct approach for difficult-to-heal wounds.
To identify distinct dyadic coping patterns among prostate cancer patients undergoing androgen deprivation therapy and their spouses using a person-centred approach, and to explore factors associated with these patterns to inform the development of personalised interventions.
A cross-sectional, observational study design.
A total of 223 patient-spouse dyads were recruited from two tertiary urology departments in Guangdong Province, China, between October 2024 and August 2025. All participants completed a general information questionnaire and the Dyadic Coping Inventory. Latent profile analysis was used to identify distinct coping profiles. Univariate analysis and multivariate logistic regression were performed to examine factors associated with profile membership.
Among 223 patient-spouse dyads, four distinct dyadic coping profiles were identified: Efficient Coping (12.0%), Ambivalent Coping (30.0%), Stable Coping (53.8%), and Coping Distress (4.0%). The small Coping Distress subgroup (n = 9) was excluded from further analysis. Higher dyadic coping levels were associated with patient education of high school or above, absence of tumour recurrence, sufficient patient-perceived family support, low-to-moderate spouse-perceived medical burden, frequent dyadic communication, and sufficient spouse-perceived friend/colleague support. Spouse-perceived insufficient family support was unexpectedly associated with better dyadic coping.
Dyadic coping patterns among prostate cancer patients undergoing androgen deprivation therapy and their spouses are heterogeneous. Healthcare professionals should identify distinct dyadic coping characteristics and provide personalised nursing interventions based on the key influencing factors identified in this study.
This study provides a person-centred classification framework for dyadic coping in couples undergoing androgen deprivation therapy, enabling nurses and other healthcare professionals to deliver targeted, stratified psychosocial care. Early identification of vulnerable couples, particularly those in the ambivalent coping subgroup, helps prevent maladaptive coping and alleviate psychological distress. By addressing modifiable factors including communication, family support, and caregiver burden, clinical practice can more effectively improve the psychosocial well-being and quality of life of both patients and their spouses throughout androgen deprivation therapy.
This study adheres to the relevant EQUATOR guidelines (STROBE) for cross-sectional studies.
Patients and their spouses were involved in the design of the study by providing feedback on the clarity and relevance of the questionnaire items during a pilot phase. They also participated in data collection by completing the self-report measures, and their input informed the interpretation of the findings related to dyadic coping experiences.
To systematically review the evidence on diagnostic prediction models for depression in patients with breast cancer.
Systematic review.
Ten databases were searched from inception to 22 August 2025, with an updated search on 17 December 2025, to identify original studies developing and/or validating diagnostic prediction models for depression in patients with breast cancer.
Data were extracted using the Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies (CHARMS) framework. Two reviewers independently assessed risk of bias and applicability of included studies using the Prediction Model Risk of Bias Assessment Tool (PROBAST).
Eleven studies were included. Reported area under the curve (AUC) values ranged from 0.784 to 0.890. All included studies were judged to be at high risk of bias, and seven raised high concerns regarding applicability. There was substantial heterogeneity in predictor selection across studies, with age, income level and family support being the most frequently reported predictors.
Although preliminary research on diagnostic prediction models for depression in patients with breast cancer has been undertaken, their methodological quality remains weak. Reporting of external validation and calibration assessment was limited. Current evidence is therefore insufficient to support their routine use in nursing practice. Future research should standardise model development and validation and strengthen the evaluation of model performance.
This review suggests that existing diagnostic prediction models for depression in patients with breast cancer are not yet sufficiently robust for routine nursing use, but may provide a reference for future nursing screening research and the optimisation of related tools.
This review synthesises the available evidence on diagnostic prediction models for depression in patients with breast cancer and provides a basis for future model development, validation and optimisation.
This review was reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement and the Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis: Systematic Reviews and Meta-Analyses (TRIPOD-SRMA) checklist.
No patient or public contribution.
Postoperative nausea and vomiting (PONV) is a common and distressing complication following surgery, persisting despite advances in prophylactic regimens. Growth differentiation factor-15 (GDF-15) has been identified as a biomarker inversely associated with PONV risk and severity. As metformin is known to elevate circulating GDF-15 levels, we hypothesise that preoperative metformin use may be associated with a lower incidence of PONV. This study aims to evaluate the association between a history of preoperative metformin administration and the occurrence of PONV in adults undergoing general anaesthesia.
This is a single-centre, prospective, observational cohort study. We plan to enrol 909 adult patients scheduled for surgery under general anaesthesia with endotracheal intubation from December 2025 to December 2028. Participants will be divided into two groups based on their preoperative metformin exposure: an exposed group (n=303) with a documented history of metformin use and a non-exposed group (n=606) without such history, using a 1:2 ratio. The metformin regimen (choice of agent and daily dosage) will be determined by the attending physician as part of routine clinical care, independent of this study. The primary outcome is the incidence of PONV, defined as the occurrence of any nausea, retching or vomiting, within 120 hours post-surgery. Secondary outcomes include the incidence of PONV in the early (0–24 hours) and late (24–120 hours) postoperative phases; the severity of PONV symptoms and the requirement for rescue antiemetic medication during these intervals; the quality of recovery (assessed at 0–24, 24–48, 48–72, 72–96 and 96–120 hours); potential PONV risk factors in blood or urine and long-term survival rates at 1, 3 and 5 years.
This study protocol (version 04, dated 23 November 2025) was approved by the Ethics Committee of the Sixth Affiliated Hospital of Sun Yat-sen University (Approval No. 2025ZSLYEC-689) prior to the initiation of participant recruitment. The first participant was enrolled under protocol version 04. A subsequent protocol amendment (version 05, dated 25 December 2025) was approved by the same Ethics Committee. This amendment added a quality of recovery assessment using the 15-item quality of recovery scoring system questionnaire at 30 days postoperatively. This amendment did not alter the primary or secondary outcomes, the sample size calculation, or any other key elements of the study design. The results of this study will be disseminated at scientific conferences and published in international peer-reviewed journals.
Chronic dyspnoea is a prevalent and clinically significant symptom, often indicative of underlying cardiorespiratory disease. It is frequently under-reported by patients and under-recognised in primary care, with these challenges exacerbated in rural and remote communities where disease burden is greater and patients experience barriers to timely diagnosis and management. The BREATHE SMART trial aims to implement and evaluate an innovative, fully digital self-screening system for chronic dyspnoea, integrated into general practice workflows and information technology infrastructure. This approach seeks to enhance early detection and management of chronic cardiorespiratory conditions across diverse practice settings.
This multisite proof-of-concept study will test a software platform delivering a preconsultation self-screening questionnaire across 40 general practices in urban, rural and remote Australia. The system identifies eligible patients (≥18 years, consenting to SMS communication with their practice), issues an automated SMS that administers a validated dyspnoea screening questionnaire, and summarises responses for integration into the electronic medical record. Process evaluation will assess acceptability and utility using deidentified audit data, software metrics and qualitative feedback from patients, staff and general practitioners (GPs) via surveys, interviews and focus groups. Approximately 12 000 patients will be screened over 12 months. Primary outcomes will include the proportion completing self-screening and prevalence of chronic dyspnoea and secondary outcomes will include the rate of newly diagnosed chronic dyspnoea-related conditions (ie, asthma, chronic obstructive pulmonary disease and heart failure) in the preceding 12 months and during the intervention period.
Ethics approval was granted by the University of New South Wales Human Research Ethics Committee (HREC) (iRECS6645) and the University of Notre Dame Australia HREC (2024-155). Participating practices and each GP will provide written, informed consent. All patients being screened will provide electronic informed consent. Results of the study will be disseminated through various forums, including peer-reviewed publications and presentation at national and international conferences. Following the study, participating practices will be provided with a summary of the findings of the study, together with a full copy of any publications and a plain language statement for participants, which will be made available in the practices.
ACTRN12624001451594.
Acute pain is an expected symptom for adolescents after outpatient surgery. In the USA, postoperative analgesic regimens frequently include prescription opioids. Increasing attention from clinicians, patients and other healthcare leaders has been directed toward non-opioid strategies, such as combining non-steroidal anti-inflammatory drugs (NSAIDs) plus acetaminophen, as potential first-line options for managing postoperative pain. However, the effectiveness and safety of home regimens that include versus exclude opioids for adolescents are unclear. The Comparing Analgesic Regimen Effectiveness and Safety after surgery for Kids study evaluates the effectiveness and safety of NSAIDs plus acetaminophen alone (NSAID regimen) versus NSAIDs and acetaminophen plus a low-dose opioid regimen (opioid regimen).
This study is a pragmatic, multicentre randomised controlled clinical trial recruiting 900 patients aged 12–20 years undergoing three common outpatient surgeries (tonsillectomy, laparoscopic cholecystectomy, knee arthroscopy) across four health systems. We will recruit patients prior to surgery and individuals will be randomised 1:1 with stratification to receive prescriptions for either the NSAID regimen or the opioid regimen. The primary effectiveness outcome is patient-reported pain intensity, while the primary safety outcome is adverse medication-related symptoms both assessed over the first 2 weeks after surgery. Secondary outcomes include quality of recovery, healthcare-related quality of life and rates of problematic substance use and chronic prescription opioid use, assessed up to 1 year after surgery.
The study incorporates stakeholder collaboration, including patient partners, surgeons, professional organisations., and health insurance payors, to ensure ethical conduct and relevance. This study is overseen by a single institutional review board with certificate of confidentiality. Findings will be disseminated through academic publications, conferences and community outreach to inform patients, parents, surgical teams and policymakers about optimal pain management strategies for adolescents after surgery.
FreshRSS 