Conectar
by Gift Treighcy Banda-Mtaula, Ibrahim Simiyu, Sangwani Nkhana Salimu, Stephen A. Spencer, Nateiya M. Yongolo, Marlen Chawani, Hendry Sawe, Jamie Rylance, Ben Morton, Adamson S. Muula, Eve Worall, Felix Limbani, Miriam Taegtmeyer, Rhona Mijumbi, on behalf of the Multilink consortium
Multimorbidity, the presence of multiple chronic health conditions, is a leading cause of death globally. In Malawi, chronic noncommunicable and communicable diseases such as HIV frequently co-exist, putting pressure on an under-resourced system. However, the health system is primarily structured around disease-specific [vertical] programs, which hinders person-centred care approaches to multimorbidity. Our study focuses on multimorbidity care and explores the perceptions of healthcare workers on the patient pathways and service organisation throughout the patient’s interaction with the health facilities. This cross-sectional qualitative study took an interpretivist approach. We conducted 13 days of clinical observations at Queen Elizabeth Central Hospital and Chiradzulu District Hospital. We also conducted 13 days of clinical observations and semi-structured in-depth interviews with different cadres of purposively sampled healthcare workers (n = 22) at Queen Elizabeth Central Hospital and Chiradzulu District Hospital. Through thematic analysis, we identified an understanding of the organisation of care and healthcare workers’ perspectives on the delivery of services. Findings showed both hospitals provided services for inpatients and outpatients with multimorbidity, including screening, management, prevention of secondary conditions and rehabilitation. Patient diagnosis and management for multimorbidity were often delayed due to frequent stockouts of medication and consumables necessary for diagnostic testing for NCDs at the hospital level. Some healthcare workers were not equipped with the knowledge, skills, or guidelines to manage multimorbidity. As HIV care is currently better resourced than other chronic conditions, healthcare facilities may strengthen the supply chain, healthcare workers’ training sessions and monitoring and evaluation tools to ensure NCDs are well managed, learning from HIV programmes.by Metha Yaikwawong, Khanittha Kamdee, Kasarnchon Mek-yong, Somlak Chuengsamarn
This work aimed to clarify how polymorphisms in the TNF gene relate to metabolic syndrome (MetS), type 2 diabetes mellitus (T2DM), and a broad spectrum of cardiometabolic characteristics, while also determining their impact on circulating TNF‑α concentrations. A total of 765 participants were genotyped for rs1800629 and rs361525, and serum TNF-α was also measured. To assess these relationships, multivariable logistic regression models—incorporating age, sex, and body mass index (BMI)—were applied to estimate adjusted odds ratios (aORs) and their corresponding 95% confidence intervals (CIs). Both variants were significantly associated with MetS: rs1800629 (crude OR = 2.22, 95% CI: 1.45–3.44, P P P = 0.035; adjusted OR = 2.84, 95% CI: 1.17–7.31, P = 0.025). The rs1800629 variant was also linked to T2DM risk (adjusted OR = 2.61, 95% CI: 1.35–5.24, P = 0.006), whereas rs361525 showed no such association. Carriers of rs1800629 had higher mean TNF-α levels (PHyperbaric oxygen therapy (HBOT) enhances wound healing by promoting angiogenesis and reducing hypoxia. However, the role of air-breaks—intermittent exposures to ambient air during HBOT—remains unclear. We investigated the effects of air-breaks on HBOT-mediated wound healing, particularly in combination with adipose-derived stromal cells (ASCs). Full-thickness wounds were created in C57BL/6 mice (n = 36) and assigned to control, HBOT (1 h/day, 2 ATA for 11 days), or HBOT with a 10-min air-break groups. In a second experiment, we evaluated ASC treatment combined with HBOT and air-breaks. Wound healing was assessed via gross examination, histology and gene expression analysis of collagen type 1 alpha 1 (Col1a1), hypoxia-inducible factor 1 alpha (Hif1a) and tumour necrosis factor (Tnf-α). Compared with HBOT alone, air-breaks significantly improved wound closure, epithelial regeneration and collagen deposition (p < 0.05). Gene analysis showed higher Col1a1 expression and lower Hif1a and Tnf-α levels in the air-break group. In ASC-treated wounds, air-breaks further accelerated healing, enhancing collagen synthesis and reducing hypoxia and inflammation. These findings suggest that incorporating air-breaks into HBOT protocols improves wound healing outcomes, both generally and in ASC-based therapies, by modulating collagen production, hypoxia and inflammation, and could optimise HBOT efficacy, particularly in cell-based regenerative therapies.
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.Mortal distress encompasses emotional, cognitive, physical and behavioural responses to death and dying among healthcare staff who frequently encounter mortality in hospital settings. Healthcare workers often experience heightened levels of mortal distress due to their regular exposure to patient deaths, which can negatively impact both their personal and professional lives, leading to burnout and high turnover rates.
To identify and quantitatively synthesise correlates of mortal distress among hospital healthcare staff and examine moderating factors affecting these relationships.
Systematic review and meta-analysis following PRISMA 2020 guidelines
Two independent reviewers screened and extracted data from studies published between January 1990 and December 2024 across eight databases (five English: CINAHL, MEDLINE, ProQuest, PubMed, Scopus; three Chinese: Airiti, CNKI, Wanfang). Quality assessment was conducted using the Mixed Methods Appraisal Tool. Meta-analysis was performed using Comprehensive Meta-Analysis 3.0.
Analysis of 94 studies identified three factor domains: personal, job-related and situational. Four job-related factors demonstrated the strongest correlations with mortal distress: competence in coping with death in healthcare contexts, needs for death-related or hospice care training, quality of end-of-life communication, and working in departments with high patient mortality rates. Four significant moderators influenced correlation strength: publication language, geographic region, study quality, and measurement tools used for assessing mortal distress.
This synthesis provides evidence regarding the magnitude and strength of factors associated with mortal distress among healthcare staff. The identification of main and moderator effects emphasises the critical need for developing culturally sensitive, tailored interventions to help healthcare workers navigate mortality-related challenges.
The results can guide healthcare organisations in developing targeted interventions and training programs, inform medical and nursing education curricula by encouraging the inclusion of life and death education, and ultimately enhance staff well-being while improving the quality of patient and family care, especially in palliative care contexts.
This study did not include patient or public involvement in its design, conduct, or reporting.
PROSPERO number: CRD42021275460
Understanding the patient perspective is crucial for enhancing healthcare delivery and outcomes for chronic conditions like diabetic foot ulcers. This qualitative study examined the perspectives of patients with diabetic foot ulcers to inform clinical strategies for both physicians and current patients to enhance care and prevent lower extremity amputations. Fifteen patients with a history of diabetes and diabetic foot ulcers and/or amputations participated in semi-structured interviews which explored their lived experiences and advice for both physicians and fellow patients to improve diabetic foot ulcer related care. Interview transcriptions were analysed to identify recurring themes. Advice for physicians emphasised increasing patient education, initiating preventive foot care at the time of diabetes diagnosis, providing instructions for managing diabetic ulcers early and demonstrating empathetic bedside manner. Advice for fellow patients focused on adopting healthy lifestyle practices, regular foot self-examinations, consistent blood glucose monitoring, medication adherence and seeking prompt medical attention for new or worsening foot lesions. Participants also stressed the importance of routine check-ups with providers to support prevention and management efforts. This qualitative study highlights the value of incorporating patient perspectives to improve our understanding of diabetic foot ulcer onset, care and outcomes and thereby reduce the risk of lower extremity complications.
by Yaosen Du, Yiyong Yang, Xiaolong Wu, Pengju Gao, Hanchen Ma
To enhance the efficiency, safety, and data accuracy of drilling engineering, this study developed an integrated business management platform for drilling engineering grassroots units based on the Business Model Driven (BMD) approach. The platform is built on a “five horizontal, three vertical” cloud computing architecture, establishing a five-layer system from the infrastructure layer to the user layer horizontally, and supported by standard specifications, safety, and maintenance systems vertically, enabling collaboration across multiple business scenarios and data integration. Currently, four major modules with over 20 functionalities have been developed, supporting applications such as task coordination, engineering supervision, data analysis, and accident handling. Operational results demonstrate that the platform effectively promotes integrated management of drilling engineering through real-time data sharing, full-process quality control, and intelligent decision-making, thereby enhancing operational quality and safety, reducing accident risks, and providing critical technological support for the digital transformation and upgrading of the drilling industry.At-risk mothers experience disproportionately higher rates of antenatal depression and anxiety, which can hinder mother–infant bonding and adversely affect infant socioemotional development. Despite growing evidence on postpartum mental health, antenatal risk factors among psychosocially vulnerable mothers remain underexplored, particularly in multi-ethnic Asian settings.
To identify factors associated with antenatal depression, anxiety, and maternal–fetal bonding among at-risk mothers.
This cross-sectional observational study was nested within an ongoing randomised controlled trial. Two hundred at-risk mothers, defined as single, of low socioeconomic status, referred for psychosocial support, at risk of depression, with adverse childhood experiences, or with a fetus with a congenital malformation, were recruited from outpatient obstetric clinics between February and September 2024. Participants completed online self-administered questionnaires assessing antenatal depression, anxiety, perceived stress, social support, parenting self-efficacy, and maternal–fetal bonding. General Linear Models were used to analyse data and identify factors associated with depression, anxiety, and bonding.
Higher perceived stress was associated with increased depression (β = 0.28, p < 0.001) and anxiety (β = 1.28, p < 0.001) and poorer bonding (β = 0.08, p = 0.02), while greater social support predicted lower anxiety (β = −0.31, p < 0.001). Higher parenting self-efficacy was linked to stronger bonding (β = −0.09, p = 0.06). Younger mothers (β = −2.68, p = 0.025) and Indian mothers (β = 7.46, p = 0.017) were particularly vulnerable to anxiety, whereas post-secondary education was protective against depression (β = −1.44, p = 0.02). Model fit ranged from 0.14 to 0.65.
Perceived stress, social support, and parenting self-efficacy significantly influenced antenatal mental health and bonding in at-risk mothers. These findings underscore the need for culturally sensitive, nurse/midwife-led interventions that integrate early screening, stress reduction, and empowerment strategies within routine antenatal care to strengthen maternal mental health and early bonding outcomes.
(1) Nurses and midwives play a critical role in screening for antenatal depression and anxiety in mothers with risk profiles highlighted in this study. (2) Culturally responsive nursing practice that demonstrates sensitivity towards sociocultural pressures is needed to provide individualised care. (3) Integration of digital and community-based antenatal education programs could provide more equitable access to care for at-risk mothers who may face barriers to in-person care.
(1) Despite having a higher susceptibility for antenatal mental health conditions, risk factors for antenatal depression, anxiety, and maternal–infant bonding have been underexplored in at-risk mothers. (2) Antenatal stress and anxiety are universally associated with depression across risk groups, while maternal self-efficacy and perceived social support serve as key protective factors. (3) The findings from this study suggest the need for early screening and nurse-led interventions that support maternal parenting self-efficacy and stress management to improve maternal mental health outcomes among at-risk mothers.
STROBE reporting checklist.
No patient or public contribution.
Investigate the epidemiological characteristics of outpatients initially diagnosed with skin ulcers who were ultimately confirmed to have cutaneous malignant tumours, and provide a diagnostic and therapeutic basis for the occurrence of secondary diseases in chronic wounds. We conducted a retrospective study analysing clinical data from patients initially diagnosed with skin ulcers at our hospital between July 2021 and February 2025, and analysed the epidemiological characteristics of malignant transformation in these ulcer cases. Among 128 patients initially diagnosed with skin ulcers, 16 cases (12.5%) were confirmed with cutaneous malignancies. The malignant group had a significantly higher mean age (69.44 ± 11.30 years) compared to the non-malignant group (58.39 ± 17.88 years; t = 5.752, p = 0.01). The distribution of lesion sites differed significantly between the malignant and non-malignant groups (χ2 = 30.498, p < 0.01). In the malignant group, the head and neck (41.2%) and trunk & extremities (41.2%) were the predominant sites. The most common malignancy was squamous cell carcinoma (SCC). The trunk & extremities was the most frequent site (62.5%). The second was basal cell carcinoma, which mainly occurs in the head and neck (80.0%). The mean duration of ulceration was 4.5 years. The primary treatment modality was surgical excision (11 cases, 68.8%). Approximately one-seventh of skin ulcer cases were confirmed as cutaneous malignancies. This finding underscores the significance of skin ulcers as potential malignant lesions, highlighting the need for clinicians to maintain a high index of suspicion and promptly perform histopathological examinations to improve early detection rates of skin cancers.
by Yonggang Chen, Jintai Luo, Yingying Zheng, Xiaomei Jiang, Zixiang Yang, Xiaobing Liu
BackgroundDiabetic kidney disease (DKD) poses a significant health burden with inadequate diagnostic sensitivity. This study develops non-invasive biomarkers by integrating urinary and renal single-cell sequencing with machine learning.
MethodsThis study analyzed DKD single-cell and bulk transcriptomic data from public repositories. We established a computational pipeline to distinguish kidney-originating cells in urinary sediments, enabling the identification of injury-associated gene signatures. These signatures were refined using machine learning to develop a diagnostic model, which was validated in independent cohorts. The biomarkers were further verified in DKD renal tissues at single-cell resolution and across multiple nephropathies. Functional and spatial analyses confirmed biological relevance using transcriptomic and histological validation.
ResultsSingle-cell analysis of 2,089 urine-derived cells identified eight renal cell types, including injured proximal tubule cells (Inj-PTC) showing upregulated injury markers (HAVCR1, VCAM1) and enriched apoptotic/TGF-β pathways. A machine learning-selected biomarker panel (PDK4, RHCG, FBP1) demonstrated strong diagnostic value (area under the curve, AUC > 0.9), with consistent downregulation across multiple chronic kidney diseases. PDK4 and FBP1 were specifically suppressed in DKD renal Inj-PTC (p Conclusions
This study identifies a three-gene biomarker panel (PDK4, RHCG, FBP1) as a promising non-invasive diagnostic tool for DKD. While demonstrating excellent diagnostic performance. It represents a tubular injury-associated gene signature that is detectable in urinary cells and shows strong association with DKD in transcriptomic datasets, presenting a promising candidate for a non-invasive diagnostic assay.
Frailty affects over 35% of maintenance haemodialysis (MHD) patients globally—2–3 times higher than the general elderly—and is strongly linked to higher mortality, hospitalisation, and functional decline. Despite its clinical impact, frailty is often underdiagnosed in dialysis settings due to inconsistent assessments and limited resources. Existing prediction models vary widely in predictors and methods, requiring systematic review to guide clinical use and improve risk-stratified care.
To systematically identify, describe, and evaluate the existing risk prediction models for frailty in patients undergoing MHD.
Systematic review and Methodological appraisal.
A comprehensive search was conducted across multiple databases—PubMed, Web of Science Core Collection, Embase, Cochrane Library, CINAHL, China Biomedical Literature Database (CBM), Wanfang Database, VIP Database—covering studies up to November 1, 2024.
Two researchers independently conducted literature searches, screening, and data extraction. They used the Prediction Model Risk of Bias Assessment Tool (PROBAST) to evaluate the risk of bias and the applicability of the included models.
Fifteen studies (21 models) were analysed, with sample sizes 141–786 and frailty incidence 11.00%–59.57%. Model AUCs ranged 0.720–0.998 (potential overfitting at extreme values). Key predictors included age, serum albumin, gender, Charlson comorbidity index, and activities of daily living scores. Methodological appraisal using PROBAST revealed moderate applicability but high bias risks: 53% of studies used retrospective designs, 95% lacked external validation, and limitations included small samples, non-standard variable selection, and inadequate handling of missing data.
While models demonstrate initial predictive utility, widespread bias and developmental-stage limitations hinder clinical application. Future research must prioritise TRIPOD-guided model development, emphasising large prospective cohorts, rigorous validation, and transparent reporting to enhance reliability and clinical utility in frailty risk stratification for MHD patients.
by Yun-Jin Hwang, So-Young Park, Jung-Hyun Park, Du-Hyong Cho
Vascular smooth muscle cells (VSMCs) plays an important role in maintaining vascular function by responding to various vasoactive stimuli within blood vessels. Far-infrared (FIR) rays has been shown to possess a variety of physiological effects including vasodilation, while the underlying molecular mechanism remains elusive. Here, we explored the molecular mechanism by which FIR irradiation suppresses vascular contraction using rat VSMCs and aortas. FIR irradiation enhanced the transport of intracellular Ca2+ from the cytosol to the sarcoendoplasmic reticulum (SER) via activation of sarcoendoplasmic reticulum Ca2+-ATPase (SERCA), which accompanied a decrease in intracellular ATP levels. Pretreatment with thapsigargin (TG), a specific SERCA inhibitor, or knockdown of SERCA2 gene expression reversed FIR irradiation-induced translocation of Ca2+ into the SER. Notably, FIR irradiation promoted the dissociation of SERCA2 and phospholamban (PLN), an endogenous SERCA inhibitor, without altering their total protein expression levels. The array of effects elicited by FIR irradiation was not observed under hyperthermic conditions (39°C). Moreover, FIR irradiation, but not hyperthermal condition, decreased the phosphorylation of myosin light chain (MLC) at Ser19, which was restored by pretreatment with TG or the knockdown of SERCA2 gene expression. FIR irradiation attenuated phenylephrine-induced vessel contraction in endothelium-deprived rat aortas. Consistent with the in vitro results, the reduction in MLC phosphorylation caused by FIR irradiation was reversed following pretreatment with TG in isolated aortas. Additionally, FIR irradiation increased blood flow in the carotid arteries of mice. Collectively, these results suggest that FIR irradiation activates SERCA2 by promoting its dissociation from PLN, independent of hyperthermic effects. This activation lowers cytosolic Ca²⁺ and ATP levels, reducing MLC phosphorylation and vascular smooth muscle contraction. These findings provide scientific evidence for the therapeutic potential of FIR therapy in the treatment and prevention of arterial narrowing conditions such as pathological vasospasm, and peripheral artery disease.by Zihang Zhao, Xiang Zhang, Xi Hou, Zihan Liu, Zhiyong Hou, Lianxin Song, Ruipeng Zhang
Percutaneous Bunnell repair and open modified Kessler repair remain debated options for acute Achilles tendon rupture (AATR). We retrospectively compared a minimally invasive percutaneous Bunnell technique (Group A) with an open modified Kessler repair (Group B) within a standardized early functional rehabilitation (EFR) protocol at a single center. Fifty-five adults with closed AATR treated between January 2021 and December 2022 were analyzed (Group A, n = 25; Group B, n = 30). Between-group comparisons used Welch t tests for continuous variables and χ² or Fisher exact tests for categorical variables; American Orthopaedic Foot & Ankle Society (AOFAS) and Achilles Tendon Total Rupture Score (ATRS) were assessed at 12 and 24 weeks, with Holm adjustment applied within each scale. Compared with Group B, Group A had shorter operative time (56.6 ± 15.1 vs 68.2 ± 23.2 minutes; mean difference −11.6; 95% CI −22.05 to −1.15; P = 0.030), less intraoperative blood loss (28.4 ± 8.4 vs 74.7 ± 19.4 mL; −46.3; 95% CI −54.22 to −38.38; Pby Natthakul Akarapredee, Chalirmporn Atasilp, Chonlaphat Sukasem, Pimonpan Jinda, Rattanaporn Sukprasong, Jiraporn Jensuriyarkun, Soravit Wongjitjanyong, Patompong Satapornpong, Natchaya Vanwong
IntroductionIrinotecan is a chemotherapy agent commonly prescribed for metastatic colorectal cancer but often leads to neutropenia. Variations in genes encoding drug-metabolizing enzymes and transporters may affect the toxicity and effectiveness of irinotecan. This study aimed to examine the impact of these genetic polymorphisms on irinotecan outcomes in Thai colorectal cancer patients.
MethodsThe study retrospectively analyzed 41 metastatic colorectal cancer patients treated with irinotecan-based chemotherapy. Genotyping was conducted for 23 single nucleotide polymorphisms in genes including UGT1A1, CYP3A4, CYP3A5, CES1, ABCB1, ABCC2, ABCC5, ABCG1, ABCG2, and SLCO1B1.Toxicity and efficacy were assessed, with statistical significance set at a Bonferroni-corrected P value Results
In terms of toxicity, UGT1A1*6 was significantly associated with both all-grade and severe neutropenia in the first cycle (p p p ABCC2 -24C > T variant was linked to all-grade neutropenia in the second cycle (p = 0.001). For efficacy, patients with the wild-type UGT1A1*6 had longer progression-free survival (PFS) (p SLCO1B1 521T > C variant was associated with improved PFS (p Conclusion
UGT1A1*6 and ABCC2 -24C > T variants emerge as potential predictors of irinotecan-induced neutropenia, while UGT1A1*6 and SLCO1B1 521T > C may serve as markers of prolonged PFS in Thai patients. Validation through larger prospective studies is essential to confirm and refine these genetic associations.
There are little available data on the prevalence, economic and quality of life impacts of musculoskeletal disorders in sub-Saharan Africa. This lack of evidence is wholly disproportionate to the significant disability burden of musculoskeletal disorders as reported in high-income countries. Our research aimed to undertake an adequately powered study to identify, measure and value the health impact of musculoskeletal conditions in the Kilimanjaro region, Tanzania.
A community-based cross-sectional survey was undertaken between January 2021 and September 2021. A two-stage cluster sampling with replacement and probability proportional to size was used to select a representative sample of the population.
The survey was conducted in 15 villages in the Hai District, Kilimanjaro region, Tanzania.
Economic and health-related quality of life (HRQOL) questionnaires were administered to a sample of residents (aged over 5 years old) in selected households (N=1050). There were a total of 594 respondents, of whom 153 had a confirmed musculoskeletal disorder and 441 matched controls. Almost three-quarters of those identified as having a musculoskeletal disorder were female and had an average age of 66 years.
Questions on healthcare resource use, expenditure and quality of life were administered to all participants, with additional more detailed economic and quality of life questions administered to those who screened positive, indicating probable arthritis.
There is a statistically significant reduction in HRQOL, on average 25% from a utility score of 0.862 (0.837, 0.886) to 0.636 (0.580, 0.692) for those identified as having a musculoskeletal disorder compared with those without. The attributes ‘pain’ and ‘discomfort’ were the major contributors to this reduction in HRQOL.
This research has revealed a significant impact of musculoskeletal conditions on HRQOL in the Hai district in Tanzania. The evidence will be used to guide clinical health practices, interventions design, service provisions and health promotion and awareness activities at institutional, regional and national levels.
by Yong Seok Jo, Seung Jae Lee, Hyun Jin Lee, Jeon Mi Lee
ObjectivesThis study aimed to determine the preferred timing and measurement sites for electroneuronography (ENoG) to predict early recovery from acute peripheral facial paralysis.
MethodsWe retrospectively evaluated 42 patients with acute peripheral facial paralysis who received standard treatment with oral corticosteroids. The severity of facial paralysis was assessed at the initial visit and after 1 month using the House–Brackmann grading system. Patients were classified into recovery and non-recovery groups according to changes in the grade. ENoG was performed at the initial visit and after 2 weeks. ENoG amplitudes of four facial muscles (frontalis, nasalis, orbicularis oculi, and orbicularis oris) at the initial visit and after 2 weeks, as well as age, sex, affected side, and diagnosis, were compared between the two groups.
ResultsNo differences were observed in degeneration ratios across all subsites in the initial ENoG, which can be explained by the fact that Wallerian degeneration is not yet complete at this early stage. However, the second ENoG, performed after degeneration had progressed, showed significant differences across all subsites. Binary logistic regression analysis revealed that the degeneration ratio of the orbicularis oris muscle was the best predictor of early recovery (odds ratio, 0.961; p = 0.014). Receiver operating characteristic curve analysis also revealed that the degeneration ratios of all subsites measured in the second ENoG were useful in predicting early recovery, with the highest possibility at the orbicularis oris muscle (area under the curve = 0.789). When the degeneration ratio exceeded 60% in all subsites in the second ENoG, a favorable prognosis was not expected.
ConclusionThis study provides the preferred testing time and measurement sites for ENoG to predict early recovery from facial paralysis. Given the personal and social impact of facial paralysis, predicting early recovery is crucial for reassuring patients, providing better treatment, and encouraging early reintegration into society.
by Moe Thi Thi Han, Tay Zar Myo Oo, Busayamas Chewaskulyong, Sakorn Pornprasert, Kanyamas Choocheep, Khanittha Punturee, Warunee Kumsaiyai, Yupanun Wuttiin, Sawitree Chiampanichayakul, Ratchada Cressey
Non-smoking-related lung cancer is increasingly associated with environmental factors such as particulate matter (PM) exposure. Using deep small RNA sequencing, we identified distinct miRNA expression patterns in lung cancer patients compared to non-cancer controls, stratified by smoking status. Notably, hsa-miR-125b-5p and hsa-miR-100-5p were significantly downregulated in non-smoking lung cancer patients. Pathway enrichment analysis revealed smoking amplifies pathways related to glycan biosynthesis, signal transduction, and transcriptional regulation, while non-smoking lung cancer is characterized by immune dysfunction and metabolic alterations, including oxidative phosphorylation and natural killer cell cytotoxicity. Validation in a larger cohort using quantitative RT-PCR confirmed the suppression of miR-125b-5p and miR-100-5p in non-smoking lung cancer patients. Additionally, miR-203a and miR-199a-3p were identified as potential biomarkers for lung cancer, independent of smoking status. Chronic PM exposure in primary bronchial/tracheal epithelial cells initially elevated miR-125b-5p and miR-100-5p expression, but prolonged exposure suppressed these miRNAs while increasing their target genes, TXNRD1 and HOXA1, suggesting stress-induced dysregulation. Functional studies using miRNA mimics demonstrated that miR-125b-5p and miR-100-5p suppress PM-induced cancer cell mobility and colony formation, with miR-125b-5p exhibiting broader effects. These findings underscore the critical roles of miR-125b-5p and miR-100-5p in PM-associated lung cancer progression and their potential as biomarkers and therapeutic targets. This study highlights distinct mechanisms of lung carcinogenesis in smokers and non-smokers, providing a foundation for targeted interventions in PM-associated lung cancer.To explore peer volunteers' experiences of delivering online support through SMART to at-risk mothers during the perinatal period, to inform future improvements to mobile-health-application (mHealth app) based peer-support interventions.
Descriptive qualitative research.
The study was conducted between February 2024 and June 2025 in a tertiary public healthcare institution in Singapore. Twenty peer volunteers were recruited via convenience and snowball sampling and participated in individual semi-structured interviews. Interviews were audio-recorded, transcribed verbatim and analysed using thematic analysis.
Four themes were identified: (a) Giving and receiving: the inner world of peer volunteers; (b) Navigating relational complexity in digital peer support; (c) Facilitating connection and continuity in digital peer support; and (d) Building better connections through supportive ecosystems.
Peers reported experiencing reciprocal benefits, such as a sense of fulfilment and achievement, while supporting mothers. Shared experiences and psychosocial vulnerabilities enhanced relatability, reassurance and rapport, which sustained supportive relationships. Challenges encountered by peers highlighted the need for strengthening both intervention design and peer training.
Regular check-ins by programme facilitators, alongside clear information, flexible guidelines and reassurance, can improve peer volunteers' motivation and resilience, thereby ensuring consistent and sustainable support for at-risk mothers.
Examined peer volunteers' experiences in providing online perinatal support to mothers with diverse psychosocial vulnerabilities. Peers offered emotional, informational and practical support, while mothers benefited from learning how peers had coped with their psychosocial vulnerabilities. Shared experiences fostered confidence and reassurance among mothers that they, too could overcome similar adversities. Valuable in providing both medically accurate perinatal information and meaningful social support to perinatal mothers.
The reporting of the study adheres to the standards outlined in the Consolidated Criteria for Reporting Qualitative Research (COREQ) checklist.
Mothers and peer volunteers contributed valuable insights and suggestions that helped in the design of the intervention.
FreshRSS 