Virology Journal

Objective: To compare first-line emergency department (ED) treatment classes for acute headache on short-term all-cause ED return and index admission across two independent health systems. Background: ED trials of acute headache treatment are judged on in-ED pain relief, a documented endpoint that is recorded incompletely and shifts with the scoring rule, and is a weak surrogate for what happens after discharge. All-cause ED return after an index headache visit (any subsequent ED encounter within the window) has not been used to compare first-line treatments at scale, and society guidance favors dopamine-receptor antagonists while recommending against routine opioids. Methods: Retrospective two-center cohort of adults treated for headache in the ED, using MIMIC-IV-ED (Beth Israel Deaconess Medical Center, 2011-2019) and MC-MED (Stanford, 2020-2022). The first-line class was the earliest qualifying acute agent. The primary contrast was opioids versus dopamine-receptor antagonists (the guideline-preferred class). Outcomes were 72-hour and 7-day all-cause ED return (among discharged patients; any subsequent ED encounter within the window) and index hospital admission. Confounding by indication was addressed with propensity overlap weighting; associations are reported as adjusted risk ratios (RRs) with bootstrap 95% CIs and E-values. Estimates were pooled with a site term and examined per site. Results: Among 13,285 treated adults (10,799 MIMIC-IV-ED; 2,486 MC-MED), opioid recipients were older and higher-acuity than dopamine-antagonist recipients (index admission 38.1% vs 16.4%). In the MIMIC-IV-ED discharged primary-contrast population, overlap weighting reduced the maximum standardized mean difference from 0.35 to 0.002; pooled and site-specific balance diagnostics are provided in the Supplement. First-line opioids remained associated with a higher 72-hour all-cause ED return (6.8% vs 3.8%; adjusted RR 1.79; 95% CI 1.31 to 2.33), 7-day return (10.7% vs 6.6%; RR 1.62; 95% CI 1.28 to 1.98), and index admission (RR 2.32; 95% CI 2.11 to 2.58, consistent with strong residual severity differences in patients selected for opioids). The direction of association was concordant across both health systems, although MC-MED return estimates were imprecise given the smaller opioid-treated discharged sample. In MIMIC-IV-ED, the cumulative all-cause return incidence by treatment class separated by day 3 and persisted through 30 days. The direction was consistent, though attenuated and no longer statistically significant, when the outcome was restricted to a headache-specific return (72-hour RR 1.31; 95% CI 0.91 to 1.88); the direction persisted for the composite of admission or 72-hour return, which does not condition on discharge but is influenced by the more confounded admission component (RR 2.16; 95% CI 1.98 to 2.39). Conclusion: Across two health systems, first-line opioid treatment for ED headache was associated with higher all-cause short-term ED return among discharged patients and higher index admission than dopamine antagonists. These observational associations reflect downstream all-cause ED utilization after an index headache visit rather than confirmed headache recurrence or treatment failure; they are consistent with guideline-concordant, opioid-sparing first-line treatment and warrant prospective confirmation. Plain Language Summary: Emergency departments treat headaches with several different medicines, but the usual way of judging which works, the pain score recorded during the visit, is often missing or inconsistent. Using two large hospital systems and a clearer outcome, whether patients came back to the emergency department for any reason, we found that patients first treated with opioids returned within 72 hours about 1.8 times as often as those given the guideline-preferred dopamine-blocking medicines and were admitted more than twice as often. These patterns pointed the same direction in both hospital systems after adjustment for the measured differences available in both databases. Because this was an observational comparison and returns were counted for any reason, the findings are consistent with using guideline-preferred non-opioid medicines first, rather than proof that opioids worsen headache.

Background Having achieved the UNAIDS 95-95-95 targets, Eswatini faces a growing burden of non-communicable diseases which are major contributors to morbidity and mortality. Hypertension-associated cardiovascular disease (CVD) is rising among people living with HIV (PLHIV) as survival improves and metabolic risks - including those linked to dolutegravir (DTG) - increase. We projected CVD burden among PLHIV and HIV-negative adults (PLWHIV) through 2045 to inform integrated HIV-CVD planning. Methods EMOD-HIV, an agent-based model calibrated to Eswatini's epidemic, generated HIV prevalence trajectories. These were combined with age-standardized Global Burden of Disease CVD estimates and published relative risks (RRs) to produce HIV-stratified CVD projections. CVD burden trajectories were then projected through 2045 using a logistic generalized additive model with Monte Carlo uncertainty quantification. Five scenarios were evaluated to assess how different assumptions about RR of CVD among PLHIV versus PLWHIV affect projected burden: (1) CVD prevalence under a constant RR; (2) CVD mortality under a constant RR; (3) HTN-attributable CVD mortality under a constant RR; (4) HTN-attributable CVD mortality under a post-DTG RR increase following Eswatinis 2021 dolutegravir rollout; and (5) HTN-attributable CVD mortality under a gradual RR increase from 2010-2045 reflecting cumulative metabolic and demographic shifts. Results PLHIV consistently exhibited higher CVD burden than HIV-negative adults. Scenario 1: CVD prevalence was 11.0% (95% UI: 9.0-13.5%) among PLHIV versus 6.8% (6.0-7.8%) in 2025, stable through 2045. Scenario 2: CVD mortality rate was 0.60% (0.47-0.76%) versus 0.37% (0.31-0.45%) in 2025, declining modestly through 2045 with consistent excess. Scenario 3: HTN-attributable mortality was 73% (70-76%) versus 64% (61-66%) in women and 61% (58-64%) versus 58% (55-60%) in men, stable through 2045. Scenario 4: Following DTG rollout, mortality rose from 73% to 85% in women and 61% to 70% in men by 2022, remaining stable thereafter. Scenario 5: By 2045, mortality reached 85% (82-88%) in women and 67% (64-70%) in men with HIV, versus 60% (57 - 63%) and 55% (53 - 57%) in HIV-negative adults. Conclusions While excess CVD burden among PLHIV is projected to persist even under stable risk conditions, ART-related metabolic trajectories - particularly those linked to DTG - may drive substantial widening of this gap through 2045. HTN-attributable CVD mortality is particularly elevated among women with HIV. Strengthening integrated HIV-NCD services, including blood pressure screening, risk-based therapy, and sex-specific DTG counseling, will be essential to sustain long-term health gains.

BACKGROUND: Artificial intelligence (AI) medical scribes rely on speech-to-text (STT) models for transcription. Evaluations of STT models in non-English settings remain scarce. We benchmarked ten STT models on medical consultations from Latin American (LatAm) Spanish and assessed whether fine-tuning improves transcription accuracy. METHODS: Ten YouTube videos depicting medical consultations. Human transcriptions were the ground truth. Five open-source models were evaluated: Whisper Large, Whisper Large v3, Whisper Large v3 Turbo, Voxtral Mini 3B, and Canary 1B v2; and so were five close-source models: gpt-4o-transcribe, gpt-4o-mini-transcribe, gemini-2.5-pro, Eleven Labs, and Assembly AI. Whisper Large v3 was fine-tuned. One video was withheld from training. Performance assessed using Word Error Rate (WER), Character Error Rate (CER), BLEU Score, ROUGE-L, BERT Score, and Semantic Similarity on the one withheld video. RESULTS: None of the fine-tuning iterations outperformed the vanilla Whisper Large v3. With the withheld video, Gemini-2.5-pro was the close-source model with the best performance in four of six metrics. In comparison to the close-source models, the fine-tuned model never outperformed the other models (withheld video); conversely, in comparison to the close-source models, the fine-tuned model showed better performance across metrics, for instance: BLEU score (63% vs to 58% for the second-ranking model), BERT (89% vs to 86%), and semantic similarity (89% vs to 83%), CER (19% vs 20%). CONCLUSIONS: Whisper Large v3 and its fine-tuned variant are the best open-source STT models for transcribing medical conversations in LatAm Spanish. These findings provide an evidence base for developing AI medical scribes tailored to Spanish-speaking LatAm.

Background Oral care is a critical nursing intervention for mechanically ventilated patients in intensive care units (ICUs) and plays an important role in preventing ventilator-associated complications. However, variability in nurses' competency in oral care remains a concern, particularly in resource-limited settings. Objective To assess ICU nurses' competency in providing oral care to mechanically ventilated patients and determine factors associated with competency at Tenwek Hospital, Kenya. Methods An analytical cross-sectional study was conducted among ICU nurses at Tenwek Hospital. A total of 38 nurses were invited, and 35 participated, yielding a response rate of 92.1%. Data were collected using a structured questionnaire and an observational competency checklist. Descriptive statistics and inferential analysis, including chi-square tests and binary logistic regression, were performed using SPSS version 30. Statistical significance was set at p<0.05. Results ICU nurses demonstrated generally high competency in key oral care practices, including use of personal protective equipment (100%), suctioning before and after oral care (91.4%), and oral assessment (80.0%). However, gaps were identified in documentation of oral care (62.9%) and adherence to standardized protocols (65.7%). Formal oral care training was significantly associated with competency (OR=5.63, 95% CI: 1.78-17.81, p=0.002), as were professional qualification (p=0.030) and ICU experience (p=0.021). In multivariable analysis, oral care training (OR=3.01, p=0.006), ICU experience (OR=2.85, p=0.015), and availability of guidelines (OR=2.17, p=0.047) were independent predictors of competency. Conclusion ICU nurses at Tenwek Hospital demonstrate satisfactory competency in oral care for mechanically ventilated patients, although gaps remain in documentation and protocol adherence. Strengthening training, guideline availability, and institutional support systems is essential to improve consistency and quality of oral care practice. Keywords Intensive care unit; oral care; nursing competency; mechanically ventilated patients; ventilator-associated pneumonia; Kenya.

Scaling HIV pre-exposure prophylaxis (PrEP) services in health systems will require collaboration and clear role distinction among professionals, and between specialist and primary care. This study examined how power dynamics shape efforts to expand PrEP care beyond specialised HIV clinics in Belgium. We conducted semi-structured interviews with 36 HIV clinic providers and two community-based organisation (CBO) representatives, and 16 online group discussions with general practitioners (GPs). We analysed data thematically, guided by the concepts of collaborative and competitive power to examine how providers negotiated expertise and role division in PrEP delivery across professional and organisational boundaries. We found that reimbursement regulations anchored PrEP initiation and follow-up within HIV clinics, embedding specialist jurisdiction in care pathways. HIV specialists reinforced this position by drawing on their recognised expertise in HIV medicine to justify clinical coordination and authority in determining standards of care. GPs emphasised accessibility and preventive care roles but made limited claims to PrEP provision, linked to misaligned organisational incentives, role blurring, limited training opportunities, and the historical concentration of HIV care in specialist services. CBOs facilitated access, enabling coordination between vulnerable communities and clinics while remaining weakly embedded in formal care structures. Findings show that expanding integrated PrEP services beyond specialised care is not only shaped by operational issues such as training and resources but also by the structural dynamics of regulations, institutional mandates, and professional jurisdictions that influence collaboration. Effective scale-up will require policies that align incentives, clarify responsibilities, and support collaboration across specialised, primary care, and community settings.

Background The 2022-2023 global mpox outbreak highlighted the critical need for robust genomic surveillance capabilities to track mpox virus (MPXV) evolution and transmission dynamics. Methods Building upon our established SARS-CoV-2 sequencing infrastructure, we implemented a Molecular Loop probe-based long-read sequencing approach using Pacific Biosciences Sequel II technology for comprehensive MPXV genomic surveillance across the United States (US). From August 2024 to June 2025, we generated 326 high-quality whole genome sequences from residual mpox-positive clinical specimens collected by Labcorp across all 10 US Department of Health and Human Services regions. Results Our analysis identified two samples containing clade Ib MPXV in January and June 2025 and captured shifting trends in clade IIb diversity, with 13 distinct lineages observed. We also identified multiple instances of large (~1.6-17.6kb) deletions proximal to the inverted terminal repeats in clade IIb genomes. APOBEC3 mutation analysis indicated substantial evidence of human-to-human transmission among both clades. Further, we observed significantly higher APOBEC3-associated SNPs per kilobase (P<0.001) in clade IIb genomic variable regions relative to their central conserved region. Our assay exhibited strong reproducibility across biological replicates from individual patients and accuracy was confirmed via parallel sequencing of select specimens by US Centers for Disease Control and Prevention (CDC) using metagenomic sequencing. We also demonstrated via custom simulation that our assay discriminates all known MPXV clades and lineages, including those we have not observed in the US. Conclusions Our integrated nationwide surveillance system facilitates real-time genomic tracking of outbreak evolution, with demonstrated capacity across SARS-CoV-2 and MPXV, positioning this platform for rapid deployment during future pathogen emergence.

Background: Oral care is a critical nursing intervention for mechanically ventilated patients in intensive care units because it reduces oral microbial colonization and contributes to the prevention of ventilator-associated pneumonia, a major cause of morbidity, prolonged hospitalization, and increased healthcare costs among critically ill patients. Despite the availability of evidence-based guidelines, gaps in nurses knowledge and inconsistent implementation of oral care practices remain challenges, particularly in low- and middle-income settings. Objective: This study aimed to assess the level of knowledge among intensive care unit nurses regarding oral care for mechanically ventilated patients at Tenwek Hospital, Kenya, determine factors influencing knowledge, and examine the relationship between nurses knowledge and selected demographic and professional characteristics. Methods: An analytical cross-sectional study design was employed. The study was conducted among intensive care unit nurses at Tenwek Hospital. A sample of 38 nurses was selected from a target population of 60 intensive care unit nurses using simple random sampling. Data were collected using a structured self-administered questionnaire assessing socio-demographic characteristics, knowledge of evidence-based oral care practices, awareness of guidelines, and factors influencing knowledge. Data were analyzed using descriptive statistics, chi-square tests, Pearson correlation, and logistic regression, with statistical significance set at probability value less than 0.05. Results: Thirty-five nurses participated, yielding a response rate of 92.1 percent. The findings demonstrated generally high knowledge levels regarding oral care practices for mechanically ventilated patients. Most nurses correctly identified recommended oral care frequency (88.6 percent), oral assessment before care (91.4 percent), suctioning before and after oral care (94.3 percent), and the role of oral care in preventing ventilator-associated pneumonia (97.1 percent). However, knowledge gaps were identified in areas such as toothbrushing practices and documentation of oral care procedures. Training, continuing professional education, availability of guidelines, workload, resources, supervision, and teamwork were identified as important factors influencing knowledge. The findings revealed that professional qualification (probability value equal to 0.02), intensive care unit experience (probability value equal to 0.030) and formal oral care training (probability value equal to 0.021) were significantly associated with nurses knowledge of oral care practices. Conclusion: Intensive care unit nurses at Tenwek Hospital demonstrated adequate knowledge of evidence-based oral care practices for mechanically ventilated patients. However, targeted educational interventions are required to address identified gaps and strengthen standardized oral care delivery. Continuous professional development, consistent use of guidelines, supportive supervision, and adequate resource provision are recommended to enhance patient safety and reduce preventable intensive care unit complications such as ventilator-associated pneumonia. Keywords: Intensive care unit nurses; Oral care; Mechanically ventilated patients; Ventilator-associated pneumonia; Nursing knowledge; Evidence-based practice

Objective: There is a bidirectional relationship between emotional distress and pain. However, this relationship is understudied in people with HIV in low-resource settings. This study sought to describe the temporal relationship between emotional distress and pain in people with HIV. Design: Longitudinal observational study. Methods: Participants with virally suppressed HIV, reporting either no pain or persistent pain at baseline, provided weekly remote ratings of distress, worst pain, and average pain using 0-10 visual analogue scales. Within-individual fluctuations in distress and pain were visualised over time. Group-level correlations were determined using Spearman's correlation tests. Cumulative link mixed models assessed whether distress and pain each predicted the other in the following week. Results: 72 participants provided responses over 49 weeks. The participants had a median (IQR) age of 43 (37-51) years, 63% (n=45) were unemployed and most were females (n=51;71%). Distress and pain fluctuated concurrently within individuals: distress was positively correlated with worst pain ({rho}=0.66, 95% CI= 0.60-0.72, p<0.001) and average pain ({rho}=0.70, 95% CI=0.64-0.75, p<0.001) intensity within the same week. Worst pain (OR=1.42, 95% CI=1.17-1.71, p<0.001) and average pain (OR=1.43, 95% CI=1.20-1.71, p<0.001) intensity both predicted distress in the next week. Distress predicted worst pain intensity (OR=1.25, 95% CI=1.07-1.46, p=0.023) but not average pain intensity (OR=1.19, 95% CI=1.01-1.40, p=0.152) in the next week. Conclusions: The temporal relationship between distress and worst pain intensity was bidirectional, whereas distress did not temporally predict average pain intensity. Both pain and emotional distress should receive attention from HIV research and clinical care in low-resource settings.

Background: Randomized controlled trials have shown that computed tomographic (CT) screening reduces lung cancer mortality. Improved identification of at-risk groups, by leveraging non-smoking risk factors, could help refine screening selection. Aim: To evaluate polygenic risk scores (PRSs) and ambient air pollution (AAP) exposure for risk stratification in the NELSON lung cancer screening cohort. Methods: Two PRSs (PRS-McKay/PRS-Byun) and several AAPs (including nitrogen dioxide, ozone, and particulate matter [PM]) were assessed in the NELSON lung cancer screening trial (N=7,364). PRSs were validated in the Rotterdam Study (N=11,493). Associations with lung cancer, mortality, screening results, and discriminative ability to distinguish lung cancer were evaluated. Results: PRS-McKay and PRS-Byun were associated with lung cancer (odds ratio [OR] per SD [95%CI]: 1.22 [1.08-1.37] and 1.28 [1.13-1.44], respectively) and lung cancer-specific mortality (OR [95%CI]: 1.24 [1.05-1.47], for both), but not with non-lung cancer mortality (OR [95%CI]: 1.01 [0.94-1.10] and 1.03 [0.95-1.12], respectively). Exposure to PM2.5 was associated with lung cancer (OR [95%CI]: 1.11 [1.01-1.22]). PM constituents were associated with adenocarcinoma, particularly PM10 (OR [95%CI]: 1.16 [1.01-1.32]) and ultra-fine particles (OR [95%CI]: 1.16 [1.04-1.30]). PRS and AAP added modestly to the discriminative ability for lung cancer on top of pack-years, age, and sex (area under the curve [95%CI]: 0.659 [0.624-0.695] vs. 0.643 [0.608-0.679]). Conclusions: PRSs and exposure to PM were associated with lung cancer in a high-risk screening population. The primary potential of PRSs may reside in refining lung cancer screening selection toward individuals at higher risk of dying from lung cancer specifically.

Background Traumatic brain injury (TBI) affects 69 million individuals globally each year, yet care remains fragmented across complex, multi-specialty pathways and settings. Digital health technologies offer potential to bridge care gaps, particularly in resource-limited settings, yet existing frameworks do not adequately address the complexities of the TBI care pathway or the diverse global contexts in which care occurs. Methods A cross-sectional qualitative study using critical realist-informed thematic analysis was conducted with practising neurosurgeons recruited internationally via National Institute for Health and Care Global Health Research Group on Acquired Brain and Spine Injury (NIHR ABSI) collaborating centres, social media, and society newsletters. Semi-structured interviews were conducted by a single researcher (OM) via Microsoft Teams (March-July 2024), exploring technology availability, healthcare infrastructure, clinical pathways, and contextual challenges, with a systems thinking approach guiding identification of current and potential technology integration points. Fourteen neurosurgeons from twelve countries participated, representing six lower-middle, two upper-middle, and four high-income countries. Results Six inductive themes emerged: Availability, Acceptability, Applicability, Capability, Feasibility, and Possibility- forming a novel conceptual framework visualised as a hexagonal chart for guiding digital health technology design and implementation in TBI care. Marked disparities in technology availability and utilisation were identified across urban/rural settings and income levels. Conclusions This framework offers a practical, context-sensitive tool for researchers, policymakers, and clinicians developing or implementing digital health technologies in TBI care globally. Visualisation in a similar style to a radar-chart enables simultaneous consideration of factors- including digital literacy, infrastructure, and cultural attitudes- whose neglect frequently underlies implementation failures.

Purpose: Airway remodeling is a convergent feature across respiratory diseases, yet current CT tools provide limited characterization of the airway tree. We present Radiomics of the Airway (RadAr), an automated framework for multi-scale airway phenotyping from routine chest CT. Methods: RadAr extracts multi-scale, interpretable airway measurements capturing luminal dimensions, tapering, architectural distortion, and global morphology and provides an interactive web portal for analysis and visualization. It was evaluated across four settings: 63-week mortality prediction in fibrotic interstitial lung disease (fILD; N=147), COVID-19 severity prediction (N=1164), structure-function association in progressive pulmonary fibrosis (PPF; N=9) and structure-inflammation markers in pediatric cystic fibrosis (CF; N=11). Unsupervised clustering identified airway phenotypes across the fILD and COVID-19 cohorts. Results: In fILD, lower-lobe architectural distortion was associated with mortality (balanced accuracy 0.654). In COVID-19, severe disease was independently associated with luminal dilation (AUC 0.719, odds ratio 2.32, p=0.017). In PPF, airway phenotypes correlated with forced vital capacity ({rho}=0.83), mid-expiratory flow ({rho}=0.87), and 129Xe MRI alveolar gas exchange impairment ({rho}=0.70). In pediatric CF, reduced tapering and increased cylindricity were associated with prior exacerbations and bronchoalveolar lavage neutrophilia ({rho}=-0.64 to -0.78). Five phenotypes were identified from extensive, tapered airway trees to sparse, dilated, thick-walled, tortuous trees, with increasing COVID-19 severity and fILD mortality across this spectrum. Conclusions: RadAr identified interpretable, disease-specific airway signatures associated with function and outcomes across restrictive, obstructive, and mixed lung diseases in adult and pediatric settings. It provides a scalable framework that may support diagnosis, risk stratification, and longitudinal monitoring across pulmonary diseases.

Blood banks represent highly controlled healthcare environments where microbiological surveillance has traditionally focused on blood products rather than environmental microbial reservoirs. Despite their critical role in transfusion safety, the ecology of surface-associated microorganisms and the persistence traits that enable their long-term survival remain poorly understood. Here, we combined scanning electron microscopy, culture-based microbiology, phenotypic characterization, MALDI-TOF mass spectrometry, and whole-genome sequencing to investigate whether surfaces within a public blood bank facility constitute reservoirs of environmentally derived bacteria with enhanced persistence potential. Samples collected from a public blood bank in Tucuman, Argentina yielded 37 culturable bacterial isolates, predominantly Gram-positive environmental taxa together with a limited number of opportunistic Gram-negative species. More than 30% of the isolates exhibited multidrug resistance, while several strains displayed strong biofilm formation, amyloid-like fiber production, motility, and hemolytic activity, indicating multiple phenotypic strategies associated with long-term surface persistence. Whole-genome sequencing of six representative isolates confirmed species identity, identified genes related to antimicrobial resistance, adhesion, biofilm formation, stress adaptation, and cytotoxicity, and revealed frequent genotype-phenotype discordance, highlighting the importance of integrating genomic and phenotypic analyses. Notably, one isolate exhibited less than 92% average nucleotide identity with publicly available genomes, suggesting the presence of a previously undescribed environmental species. Thus, blood bank surfaces function as selective ecological niches favoring bacteria with persistence-associated traits rather than simply reflecting contamination from blood products. These microorganisms may constitute latent biosafety hazards if environmental barriers fail, particularly in facilities handling biological materials intended for vulnerable patients. Our results support the incorporation of integrated bioimaging, phenotypic characterization, and genome-resolved environmental surveillance into infection prevention strategies and transfusion biosafety programs within a One Health framework.

Introduction Globally and in Africa, HIV mortality is reported to have decreased over the years. Cameroon's national mortality rate was 1.7% in 2023, and there exist regional disparities and underreporting. We assessed the mortality and associated factors among People Living with HIV(PLHIV) initiated into HIV care from January 2021 to December 2023 at the Bamenda regional hospital (BRH) Methods A retrospective cohort study was conducted from June 2024 to December 2024 at the BRH. Using a non-probabilistic consecutive sampling technique, 331 newly initiated participants on ART were included. Data was collected from medical records using a questionnaire and analyzed using R software version 4.3.1. A multivariable Cox regression model included variables that showed statistical significance and assessed their relationship with mortality while adjusting for potential confounders. Significant predictors of mortality were identified. Results The mean age of participants was 41.6 {+/-} 11.7 years, and females constituted 57.7%. Opportunistic diseases were present in 19.0% of cases, with tuberculosis (8.2%) being the most common. Key comorbidities included hypertension (8.8%), diabetes (3.9%), and hepatitis B (3.0%). Blood tests showed elevated liver enzymes (ALAT/ASAT: 41.7{+/-}23.6 U/L) and high blood sugar (144.4{+/-}7.4 mg/dL). In contrast, kidney function (Creatinine: 0.9{+/-}0.2 mg/dL) and immune cell counts (Lymphocytes: 1.8{+/-}0.7 x103/L) appeared normal overall. A cumulative mortality rate of 7.6% over three years (approximately 2.5% per year) was observed. Male sex (AHR=7.83, 95% CI:1.44-42.5, p=0.017), opportunistic diseases (AHR=5.66, 95% CI:1.71-18.7, p=0.004), comorbidities (AHR=6.04, 95% CI:2.02-18.1, p=0.001), Abnormal ALAT/ASAT (p=0.005), and WHO clinical stage III (AHR: 1.1, 95%CI: 1.01 -1.5, p < 0.001), were identified as predictors of mortality. Whereas, BMI and ART adherence showed no significance. Conclusion Mortality among PLHIV in this study was associated with advanced disease, opportunistic diseases, commorbidities and abnormal laboratory findings. Strengthening early diagnosis, management of opportunistic infections, and monitoring of clinical and laboratory indicators may help reduce mortality in this population.

ABSTRACT Background: Vaccination coverage in Brazil declined between 2015 and 2022, followed by a recovery in 2023 and 2024. Given this instability, driven by multiple determinants, we sought to identify factors associated with childhood vaccination and group Brazilian municipalities into scenarios that could guide interventions to improve coverage. Methods: In this ecological study of 5,274 Brazilian municipalities, we assessed the rate of children under 1 year unvaccinated with the third dose of the Inactivated Poliovirus Vaccine (IPV) in 2024, chosen for its high correlation with other tracer vaccines such as Diphtheria, Tetanus and Pertussis (DTP) and Measles, Mumps and Rubella (MMR). We applied a hierarchical model with three levels of determinants (socioeconomic, health service structure, and operational), using Poisson regression to estimate standardized Rate Ratios (RR), followed by a K-means cluster analysis to identify municipal profiles. Results: Several determinants were associated with higher rates of unvaccinated children, most notably the proportion of the population not covered by Community Health Workers (CHW) (RR = 1.15; 95% CI 1.14-1.15) and inequality measured by the Gini Index (RR = 1.33; 95% CI 1.32-1.34). We identified six municipal profiles that differed in tracer-vaccine coverage up to four years of age and in the composite Vaccination Needs Index (VNI). Conclusion: Multiple socioeconomic, structural and operational factors were associated with unvaccinated rates, highlighting the relevance of healthcare service organization even in favorable social contexts. Classifying municipalities into risk profiles may support more targeted interventions aligned with local needs. Keywords: Vaccination coverage, Childhood vaccination, Primary Health Care, Determinants, Scenarios, Profiles.

Abstract Background: Remote clinical reviews have become an integral component of contemporary nursing practice across community and acute care settings. Nurses increasingly make autonomous clinical decisions using telephone, video, and online/digital systems, often with limited sensory information and under conditions of uncertainty. However, empirical understanding of how nurses make clinical decisions via remote reviews remains limited. Aim: To explore and understand how registered nurses (RNs) make clinical decisions about patient care via remote reviews. Methods: A convergent mixed-methods design was employed. Quantitative data (analytic quantitative sample N=53) were collected using validated questionnaires that measured decision-making processes, physician-nurse collaboration, decision-making stress, and perceived decision-making ability. Qualitative data (N=23) were generated through semi-structured interviews. Data collection took place between October 2024 and April 2025. Quantitative data were analysed using descriptive statistics, correlation, and multiple regression. Qualitative data were analysed using framework analysis. Integration was achieved through pillar-building and theory-driven synthesis and illustrated by joint display tables. Results: Most nurses demonstrated a flexible decision-making style, integrating analytical and intuitive reasoning. Both analytical and intuitive processes were positively associated with perceived decision-making ability. Physician-nurse collaboration emerged as a strong predictor of decision-making confidence, while decision-related stress was not a significant predictor. Qualitative findings identified three themes: characteristics of remote review; making adaptive decisions shaped by both internal and external constraints and enablers; and external influencing factors. The integrated findings informed a theory-informed ICE framework to illustrate how nurses make clinical decisions via remote reviews. Conclusion: Remote clinical decision-making is a dynamic cognitive-environmental process rather than a purely individual cognitive act. The ICE framework conceptualises this interaction, extending existing decision-making theories to digitally mediated care. Impact: Understanding remote decision-making supports training design, clinical governance, and the development of Artificial Intelligence-enhanced decision-support tools grounded in ecological bounded rationality. Patient or Public Contribution: Patient and public representatives contributed to stakeholder discussions that informed the development of the interview topic guide and the theoretical model. Patients or members of the public were not involved in recruitment, data collection, analysis, interpretation of findings, or preparation of the manuscript. Keywords: clinical decision-making, remote reviews, telehealth, nursing, mixed methods, ecological bounded rationality

Background: Leptospirosis causes around 1 million cases and 60,000 deaths globally annually, predominantly affecting flood-prone tropical regions. Transmitted through contact with water or soil contaminated by animal urine infected with Leptospira spp., this bacterial zoonosis is classified as a high-risk Group B infectious disease in Vietnam. However, epidemiological and clinical data are scarce, particularly in pediatric populations. This study evaluated clinical and laboratory characteristics of leptospirosis cases at the National Children's Hospital, Hanoi, from January 2023 to August 2025. Methodology : All children admitted with probable or confirmed leptospirosis were enrolled. Clinical and laboratory data were analyzed to characterize disease manifestations and identify risk factors for severe leptospirosis. This was defined by the presence of organ dysfunction, including liver or renal failure, hemorrhage (particularly pulmonary), aseptic meningitis, cardiac arrhythmias, pulmonary insufficiency, or hemodynamic collapse. Principal Findings : Of 84 patients (37 confirmed, 47 probable), the mean age was 9.4 years, with 52.4% male and over half aged [&ge;] 10 years. Fever was the most common presenting symptom (85.7%); gastrointestinal and renal manifestations were frequent, including oliguria in 26.2% of cases. Key laboratory abnormalities included elevated D-dimer (81.8%), elevated C-reactive protein (75.6%), hypoalbuminemia (74.3%), increased liver enzymes (AST 63.3%, ALT 53.2%), and renal impairment ({approx} 46%). Severe disease developed in 48.8% of patients, most frequently as acute kidney injury. Hematuria was independently associated with increased severity (OR = 4.89). Conversely, fever, higher baseline albumin, and longer symptom duration prior to hospitalization were associated with a significantly reduced risk of severe disease. Conclusions : Pediatric leptospirosis in this cohort frequently presented with systemic inflammation and multi-organ involvement, particularly renal impairment. Nearly half the patients developed severe disease. Early recognition of renal signs, especially hematuria, and careful monitoring of albumin levels are critical to identifying children at risk for severe progression and optimizing clinical management.

Purpose This study aimed to examine the association between screen time and depressive symptoms among Chinese college students, and to investigate the mediating roles of sleep quality and emotion regulation in this relationship. Furthermore, a serial mediation model was constructed to elucidate the underlying psychological mechanisms linking screen exposure to depression. Methods A stratified cluster sampling method was employed to recruit 10,999 college students for a cross-sectional questionnaire survey. Data were collected on screen time, sleep quality, emotion regulation ability, and depressive symptoms. Descriptive statistics, correlation analyses, and regression analyses were conducted using SPSS 26.0 A serial mediation model was tested using the PROCESS macro (Model 6), and bootstrapping procedures were applied to estimate the significance of indirect effects. Results Correlation analyses indicated that screen time was significantly positively associated with depressive symptoms (r = 0.16, p < 0.01) and sleep quality (r = 0.15, p < 0.01), and significantly negatively associated with emotion regulation (r = -0.13, p < 0.01). Sleep quality was positively correlated with depressive symptoms (r = 0.31, p < 0.01), whereas emotion regulation was negatively correlated with depressive symptoms (r = -0.42, p < 0.01). Regression analyses further showed that screen time significantly positively predicted depressive symptoms ({beta} = 0.712, p < 0.001), positively predicted sleep quality ({beta} = 0.217, p < 0.001), and negatively predicted emotion regulation ({beta} = -0.085, p < 0.001). In addition, both sleep quality ({beta} = 1.318, p < 0.001) and emotion regulation ({beta} = -0.424, p < 0.001) were significant predictors of depressive symptoms. Mediation analyses demonstrated that sleep quality significantly mediated the association between screen time and depressive symptoms (95% CI [0.239, 0.332]), as did emotion regulation (95% CI [0.269, 0.416]). Moreover, a significant serial mediation effect of sleep quality and emotion regulation was observed in the relationship between screen time and depressive symptoms (95% CI [0.082, 0.117]). Conclusion Screen time is significantly associated with depressive symptoms among college students, with sleep quality and emotion regulation serving as important mediating mechanisms. Extended screen exposure may be linked to higher levels of depressive symptoms by impairing sleep quality and weakening emotion regulation capacity.

Introduction: Laparoscopic appendectomy is an ideal procedure for acquiring laparoscopic skills through simulation. Nevertheless, technical training is time consuming for surgical trainers to provide constructive feedback, but this could be improved by the development of validated tools that enable appropriate formative self-assessment. For this reason, we developed a structured assessment scale for a laparoscopic appendectomy exercise using a low-fidelity simulator. The objective of this study was to validate the scale for use in formative self-assessment. Methods: During laparoscopic simulation sessions in 2025-2026, participants with varying levels of experience performed a standardized laparoscopic appendectomy (LAP) exercise on a low-fidelity simulator. Performance was assessed through formative self- and external assessment using a specific scale derived from the OSATS (Objective Structured Assessment of Technical Skills) score. Content and construct validity, internal consistency, reproducibility, and reliability in both hetero- and self-assessment were analyzed. Results: Thirty-two participants were included in the validation study of the LAP scale, including 7 medical students, 17 residents in pediatric, visceral, urological, and gynecological surgery, and 8 practicing surgeons. The content of the scale was deemed relevant by 80% of the users. It demonstrated excellent construct validity, with scores increasing according to level of experience: 9.9 +/- 0.7 among students, 12.7 +/- 3.3 among junior residents, 16.6 +/- 3.3 among experienced residents, and 18.8 +/- 0.9 among practicing surgeons (p < 0.0001). Reproducibility and internal consistency were significant, while inter and intrarater reliability were excellent (correlation coefficients r = 0.90 and 0.91; p < 0.0001), as was the correlation between external and self-assessment (r = 0.81; p < 0.0001). Self-assessment was more reliable among experienced learners than among novices. Conclusion: This standardized LAP scale is validated for both external and self-assessment, the latter requiring prior training to be reliable and formative.

We aimed to assess the burden and correlates of late diagnosis of cervical cancer among women attending care at a public health facility in Coastal Kenya. A retrospective cross-sectional design was used. Data extracted from medical records of women already diagnosed with cervical cancer at Kilifi County Referral Hospital (KCRH) were used. Logistic regression was used to assess independent predictors of late diagnosis of cervical cancer. A total of 126 patients were included in this analysis. Out of the 126 participants, 67.5% (n=85) were 50 years and older with a mean age of 54 years. Among the 126 participants whose records were included in analysis, 73.0% (n=92; [95% CI: 64.3 - 80.5]) were diagnosed with late-stage cervical cancer. In multivariable analysis, none of the variables included in the model showed an association with the outcome. In conclusion, we found a high burden of late diagnosis of cervical cancer in this setting. Targeted interventions are warranted to reverse this trend.

The increasing deployment of artificial intelligence (AI) assistive systems across healthcare, education, and organisational domains necessitates a deeper understanding of dispositional factors shaping trust and acceptance. This study investigated the Big Five personality traits as predictors of trust in and acceptance of AI assistive systems among a large adult sample (N = 380) in Makurdi Benue State. Anchored in the Technology Acceptance Model (TAM) developed by Davis (1989), the study examined both direct and indirect pathways linking personality traits to AI acceptance through trust. Participants completed standardised measures of the Big Five Inventory, Trust in AI Scale, and AI Acceptance Scale. Data were analysed using structural equation modelling (SEM) with maximum likelihood estimation. The hypothesised model demonstrated good fit indices (CFI = .84, TLI = .82, RMSEA = .05). Openness to experience ({beta} = .34, p < .001) and agreeableness ({beta} = .27, p < .01) significantly predicted trust in AI systems, which in turn strongly predicted AI acceptance ({beta} = .62, p < .001). Neuroticism negatively predicted trust ({beta} = -.29, p < .001), while conscientiousness showed a modest positive direct effect on acceptance ({beta} = .18, p < .05). Extraversion was not a significant direct predictor but exerted an indirect effect through trust. Mediation analysis confirmed that trust significantly mediated the relationship between personality traits and AI acceptance. The findings underscore the centrality of dispositional traits in shaping technological trust formation and highlight the psychological architecture underlying human AI interaction. These results contribute to social psychological theory and provide empirical guidance for designing personality sensitive AI systems to enhance user adoption and sustained engagement.