bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of delayed sea ice retreat on zooplankton communities in the Pacific Arctic Ocean: a generalized dissimilarity modeling approach
Authors: Hibino Yuya , Matsuno Kohei , Fujiwara Amane , Abe Yoshiyuki , Hosoda Nanami , Itoh Motoyo , Yamaguchi Atsushi 
Published: January 2025

IntroductionSea ice extent increased in the Pacific Arctic Ocean during 2021 owing to the reversal of the Beaufort Gyre, unlike in previous years. The increased sea ice concentration may restore the marine ecosystem to its previous state; nevertheless, the precise conditions and mechanisms involved remain unclear.MethodsIn this study, the 2008–2017 period was defined as “the sea ice retreat year,” and its zooplankton community distribution representative was estimated using generalized dissimilarity modeling (GDM). Subsequently, we assessed the effect of delayed sea ice melt on the zooplankton community by comparing the zooplankton community of the sea ice retreat year with that in 2021.ResultsIn GDM, numerous satellite parameters significantly affected the zooplankton distribution, with the highest effect during the open-water period and annual primary production (APP) and the lowest in water temperature. The effect of APP and temperature on zooplankton similarity was high around the Bering Strait owing to the advection of Pacific copepods (Eucalanus bungii, Metridia pacifica, and Neocalanus spp.) and synchronized inflow of warm Pacific water. Under significant warming scenarios (Shared Socioeconomic Pathway [SSP]1-2.6 and SSP5-8.5), GDM-based multiple effects predicted that the zooplankton communities in high latitudes will be more affected than those on the southern shelf (northern Bering Sea to southern Chukchi Sea). In 2021, the total abundance across the northern Bering Sea to the Chukchi Sea shelf region was lower than that of the community during the sea ice retreat year. However, certain species (Limacina helicina and Pacific copepods) increased locally (northern Bering Sea and Barrow Canyon) because of the increasing volume of Pacific origin water.DiscussionContrary to the reported increase trend on zooplankton, low primary productivity and phenological mismatch for zooplankton may prevail in the Pacific Arctic Ocean, resulting in a low abundance during autumn 2021.
Risk factors associated with in-hospital mortality during yellow fever outbreak in Brazil
Authors: McClure Max , Rezende Izabela Maurício de , Pereira Leonardo Soares , Dutra Maria Rita Teixeira , Fradico Jordana Rodrigues Barbosa , Macedo Rodrigo , Marçal Marcelle Cardoso , Fonte Boa Lívia Soares Coelho , Bragato Alexandre Maurício Castro , Faria Flávio Augusto de Almeida , Pamplona Livia , Said Rodrigo Fabiano do Carmo , Calzavara-Silva Carlos Eduardo , Ramalho Dario Brock , Magalhães Cintia Lopes de Brito , Alves Pedro Augusto , Gama Thaysa Drummond Palmeira , Cota Gláucia Fernandes , Monath Thomas P. , Martins-Filho Olindo Assis , Pascoal-Xavier Marcelo Antônio , Teixeira-Carvalho Andrea , Drumond Betânia Paiva , LaBeaud A. Desiree ,   Yellow Fever Collaborative Group
Published: January 2025

ObjectiveTo characterize the clinical manifestations of yellow fever disease and identify risk factors for mortality.MethodsA retrospective study was conducted in the referral center for infectious diseases (Hospital Eduardo de Menezes-HEM) in Belo Horizonte, Minas Gerais, Brazil. Analysis included data from 283 patients with confirmed YF infection older than 13 years old who presented to HEM between January 2017 and June 2018. In-hospital mortality (hypothesis formulated after data collection), demographic factors and clinical and laboratory assessments were used.ResultsStudy patients were mainly men (87.6%), with a median age of 46.0 (IQR 36.5, 57.0). 131 (46.3%) patients were admitted to the ICU, and 62 (22.0%) used invasive mechanical ventilation for a median of 2 days (IQR 1, 3). The median (IQR) total length of stay (LOS) in the ICU was 6 days (IQR 4, 8). The in-hospital mortality rate was 24.0%. Age was significantly higher in fatal (median 49.5, IQR 41.0, 61.0]) than in non-fatal cases [46 (36, 55)] (p &lt; 0.01). Male sex was associated with an increased risk of death (RR 4.66, 95% CI 1.19, 18.2; p &lt; 0.01). Most common symptoms and signs on admission to HEM were fever (31.9%), myalgia (27.8%), jaundice (24.3%), headache (23.9%), abdominal pain (16.1%), vomiting (12.2%), weakness (10.4%), and arthralgias (10.0%). Initial viral load above the cutoff of 4.45 log10 copies/mL was significantly associated with death prior to discharge (OR 12.2; CI 2.83, 92.3). Five factors were significantly related to increased odds of death prior to discharge: log-transformed AST (OR 3.65; CI 2.02, 7.81; p &lt; 0.001), log-transformed INR (OR 7.40; CI 1.31, 33.0; p = 0.010), log-transformed lactate (OR 4.57; CI 1.48, 17.1; p = 0.013), log-transformed WBC (OR 4.33; CI 1.19, 18.5; p = 0.034), and age (OR 1.06; CI 1.01, 1.12; p = 0.026).Conclusions and relevanceAST, INR, lactate, WBC, and age are statistically associated with death prior to discharge in YF patients. These clinical markers should be applied to improve patient screening and management during future YF epidemics.
Impact of acupuncture on mortality in patients with disabilities and newly diagnosed heart failure: a nationwide cohort study
Authors: Jun Hyungsun , Park Dasol , Sul Jae-Uk , Cheong Moon Joo , Kim Haerim , Youn Inae , Leem Jungtae 
Published: January 2025

ObjectivePeople with disabilities have high rates of cardiovascular diseases and mortality, and heart failure can worsen their condition. Therefore, preventing and managing cardiovascular diseases is particularly important for this population. Although acupuncture has been used for heart failure, research on its impact on mortality is limited. Given the unique pathophysiological characteristics of people with disabilities, this study aimed to evaluate the effect of acupuncture on mortality in those newly diagnosed with heart failure.MethodsThis retrospective cohort study used data from the Korean National Health Insurance Service, focusing on people with disabilities diagnosed with heart failure between 2014 and 2016. Acupuncture exposure within 1 year of diagnosis was assessed by dividing the participants into acupuncture-exposed and non-exposed groups. Propensity score matching (PSM) was used to adjust for group differences, and all-cause mortality was tracked for 3 years. Cox proportional hazard models were employed to calculate hazard ratios (HRs) and confidence intervals (CIs). Dose-response relationships were also analyzed by dividing acupuncture frequency into quartiles.ResultsAfter PSM, 21,001 individuals were included in both groups. The acupuncture-exposed group had a 20% lower risk of all-cause mortality (adjusted HR 0.80, 95% CI 0.76–0.84) than those in the non-exposed group. Higher acupuncture doses were associated with a greater reduction in mortality, with the highest dose group showing a 36% lower risk (adjusted HR 0.64, 95% CI 0.58–0.69) than those in the non-exposed group. The subgroup analysis showed a consistent reduction in mortality across most groups, particularly in women, older adults, higher-income individuals, and those with severe disabilities.ConclusionThis study suggests that acupuncture exposure is associated with reduced mortality in people with disabilities who are newly diagnosed with heart failure. While several limitations exist, we highlight the potential role of acupuncture in managing cardiovascular diseases in this population and encourage further research to support healthcare policies.
Innovative epilepsy management: a combined figure of EEG categorization and medication mechanisms
Authors: Taha Mohamed , Nordli Douglas R. , Park Carol , Nordli Douglas R. 
Published: January 2025

IntroductionEpilepsy management requires precision in diagnosis and treatment, particularly when selecting antiseizure medications based on specific epilepsy syndromes. We present an innovative educational tool that integrates EEG categorization with antiseizure medication mechanisms, designed to enhance clinical decision-making in epilepsy management.MethodsThis study evaluated a cohort of neurology trainees through a pre-test and post-test design. Participants were assessed on their ability to diagnose epilepsy syndromes and select appropriate treatments based on EEG findings before and after exposure to the teaching figure. The figure aligns key EEG patterns with specific epilepsy syndromes and outlines the corresponding mechanisms of action of antiseizure medications.ResultsPost-test results demonstrated a statistically significant improvement in trainees’ ability to analyze clinical cases and make informed treatment decisions (mean pre-test score: 52.8; post-test score: 66.5; p = 0.0019). The figure facilitated a deeper understanding of the relationship between EEG findings and medication selection, particularly in complex cases.DiscussionThe integration of EEG patterns with antiseizure medication mechanisms allows for more precise epilepsy syndrome diagnosis and enhances the selection of rational polypharmacy approaches. This approach not only improves educational outcomes but also offers potential applications in clinical practice for personalized epilepsy treatment strategies.ConclusionThis innovative figure bridges the gap between EEG categorization and treatment strategies, providing a valuable tool for improving epilepsy management education and clinical outcomes.Plain language summaryThis manuscript introduces a teaching tool that helps providers better understand how brainwave patterns (EEGs) relate to epilepsy types and guides them in choosing the most effective seizure medications.
Association between dietary inflammatory index and osteoporosis in the US population: evidence from NHANES 2003–2010
Authors: Liu Zhiwen , Jian Huanling , Peng Zijing , Xiong Sicheng , Zhang Zhihai 
Published: January 2025

ObjectiveThis study aimed to explore the association between the Dietary Inflammatory Index (DII) and the prevalence of osteoporosis in the U.S. population, using data from the National Health and Nutrition Examination Survey (NHANES) 2003–2010.MethodsData from 7,290 participants in the NHANES 2003–2010 survey were analyzed. The relationship between the DII and osteoporosis was evaluated using weighted multivariate logistic regression, and potential non-linear associations were explored through restricted cubic spline (RCS) regression. Subgroup analyses were conducted with stratified models, and the findings were depicted in a forest plot. To pinpoint key dietary factors associated with osteoporosis, we applied least absolute shrinkage and selection operator (LASSO) regression. These factors were integrated into a nomogram for risk prediction, with the model’s discriminative ability assessed via the receiver operating characteristic (ROC) curve.ResultsOsteoporosis patients had higher DII scores than those without the condition (1.61 vs. 1.18, p &lt; 0.001). After adjusting for covariates, participants in the highest DII quartile had an 88% greater risk of osteoporosis (OR: 1.88, 95% CI: 1.41–2.52, P for trend &lt;0.001). Restricted cubic spline analysis confirmed a linear relationship between DII and osteoporosis risk. Subgroup analyses showed similar patterns across different groups, as illustrated by the forest plot. LASSO regression identified key dietary factors, which were used to build a nomogram with an AUC of 83.6%, indicating strong predictive accuracy.ConclusionA higher DII is strongly linked to increased osteoporosis risk, underscoring the importance of reducing dietary inflammation to help prevent osteoporosis.
Joint association of sleep patterns and oxidative balance score with all-cause and cardiovascular mortality among the general population
Authors: Chen Chen , Wu Hanzhang , Jin Hongyu , Jiang Zhiping , Wang Wei , Tan Xiao , Li Wen-Yang 
Published: January 2025

BackgroundThis study investigates the joint effect of sleep patterns and oxidative balance score (OBS) on all-cause and CVD mortality in the general population.MethodsWe examined 21,427 individuals aged 18–85 from NHANES 2005–2014, connecting them to mortality data until December 31, 2019, using interview and physical examination dates. Surveys collected data on sleep duration, self-reported sleep disturbance, and doctor-told sleep disorders, classified into healthy, intermediate, and unhealthy sleep patterns. OBS was calculated based on twenty oxidative stress-related exposures to dietary and lifestyle factors. Cox proportional hazards model was conducted to evaluate the association between sleep patterns or OBS alone and combined with all-cause and CVD mortality.ResultsPoor sleep patterns and pro-oxidant OBS (Q1 &amp; Q2) were identified as risk factors for mortality. Each point increase in OBS was associated with a 3% decrease in both all-cause mortality and CVD mortality. There was an interaction between sleep patterns and OBS (P for interaction = 0.013). Joint analyses revealed that participants with combined unhealthy (intermediate and poor) sleep pattern and pro-oxidant OBS were significantly associated with increased risk of all-cause (HR = 1.45 [1.21–1.74]) and CVD mortality (HR = 1.60 [1.12–2.28]). Furthermore, stratified analysis highlighted that this joint effect was more prominent among individuals without hypertension or diabetes; more notable for all-cause mortality in younger individuals and for CVD mortality in the elderly.ConclusionWe identified a significant interaction between sleep patterns and OBS affecting all-cause mortality. Unhealthy sleep patterns and pro-oxidant OBS were jointly and positively associated with an increased risk of all-cause and CVD mortality. Interventions targeting healthy sleep patterns and antioxidant lifestyles may promote health outcomes.
The infiltration risk prediction models by logistic regression for ground-glass pulmonary nodules: a systematic review and meta-analysis
Authors: Li Mengqian , Zhang Xiaomei , Lai Yuxin , Sun Yunlong , Yang Tianshu , Tan Xinlei 
Published: January 2025

MethodsCNKI, Wanfang, VIP, Sinomed, Pubmed, Web of Science, Embase, and other databases were searched. The retrieval time was from the establishment of the database to January 31, 2024. We included all predictive models for the invasion of ground-glass pulmonary nodules established. The modeling group was patients with a pathological diagnosis of ground-glass pulmonary nodules. Two researchers screened the literature, established an Excel table for information extraction, used SPSS 25.0 to perform frequency statistics of each independent risk factor, and used Revman 5.4 software for meta-analysis.ResultsA total of 29 articles were included, involving 30 independent risk factors, with a cumulative frequency of 99 times. There were 16 risk factors with a frequency of ≥2 times, a total of 85 times, accounting for 85.86%. The meta-analysis showed the following: average CT value (MD = 75.57 HU, 95%CI: 44.40–106.75), maximum diameter (MD = 4.99 mm, 95%CI: 4.22–5.77), vascular convergence sign (OR = 11.16, 95%CI: 6.71–18.56), lobulation sign (OR = 3.80, 95%CI: 1.59–9.09), average diameter (MD = 4.46 mm, 95%CI: 3.44–5.48), maximum CT value (MD = 112.52 HU, 95%CI: 8.08–216.96), spiculation sign (OR = 4.46, 95%CI: 2.03–9.81), volume (MD = 1,069.37 mm3, 95%CI: 1,025.75–1,112.99), vacuole sign (OR = 6.15, 95%CI: 2.70–14.01), CTR ≥0.5 (OR = 7.24, 95%CI: 3.35–15.65), vascular type [types III and IV] (OR = 13.62, 95%CI: 8.85–20.94), pleural indentation (OR = 6.92, 95%CI: 2.69–17.82), age (MD = 4.18years, 95%CI: 1.70–6.65), and mGGN (OR = 3.62, 95%CI: 2.36–5.56) were risk factors for infiltration of ground-glass nodules. The overall risk of bias in the methodological quality evaluation of the included studies was small, and the AUC value of the model was 0.736–0.977.ConclusionThe included model has a good predictive performance for the invasion of ground-glass nodules. The independent risk factors included in the model can help medical workers to identify the high-risk groups of invasive lung cancer in ground-glass nodules in time and improve the prognosis.
Zinc regulates microglial polarization and inflammation through IKBα after spinal cord injury and promotes neuronal repair and motor function recovery in mice
Authors: Li Daoyong , Bai Mingyu , Guo Zhanpeng , Cui Yang , Mei Xifan , Tian He , Shen Zhaoliang 
Published: January 2025

IntroductionSpinal cord injury (SCI) leads to severe inflammation and neuronal damage, resulting in permanent loss of motor and sensory functions. Zinc ions have shown potential in modulating inflammation and cellular survival, making them a promising therapeutic approach for SCI. This study investigates the mechanisms of zinc ion treatment in SCI, focusing on its effects on inflammation.MethodsWe used transcriptomic analysis to identify key pathways and genes involved in the inflammatory response in a mouse model of SCI. In vitro studies assessed the impact of zinc ions on inflammation, cell polarization, and apoptosis. IKBα expression was evaluated as a potential target of zinc ions, both in cultured cells and in vivo.ResultsTranscriptomic analysis revealed that zinc ions modulate inflammatory pathways through IKBα, which inhibits NF-κB activity. In vitro, zinc treatment upregulated IKBα expression, reducing inflammation, polarization, and apoptosis. These results were confirmed in the SCI mouse model, where zinc ions also reduced inflammation and cell death.DiscussionOur findings highlight a novel mechanism by which zinc ions regulate inflammation in SCI by upregulating IKBα and inhibiting NF-κB activation. This suggests potential therapeutic applications of zinc ions in SCI and other inflammatory conditions, warranting further investigation into their clinical benefits.
Battery for fall risk assessment in older adult people—BARQ: analysis of reliability and objectivity
Authors: Guimarães Andrea Carmen , D’Louar Costa Maia Brisa , Dantas Karollyni Bastos Andrade , Santos Gustavo Costa , Américo Letícia Moreira , Werner Nelzy Aparecida Silva , da Costa Lucio Flávio Gomes Ribeiro , da Silva Santos César Augusto , Dantas Estélio Henrique Martin 
Published: January 2025

IntroductionThis study aims to address significant gaps in fall risk assessment among older adult individuals, using a methodological approach to develop and validate effective instruments.ObjectiveTo establish the objectivity and reliability of the Battery for Fall Risk Assessment in older adult people - BARQ.MethodologyThis descriptive, cross-sectional, exploratory study started with a preliminary version of BARQ, based on the Comprehensive Falls Risk Screening Instrument—CFRSI. The following variables were included: Fall History and Adverse Events (FH), Medication Use (MU), Home Safety (HS), Balance (Ba), Mobility (Mo), and Visual Acuity (VA). BARQ was administered to 136 older adult participants (X̅ = 70.3 ± 7.20 years) by two assessment teams (∝ and β), at three different times, to examine instrument reliability and objectivity. Statistical analyses included Pearson’s correlation, Cronbach’s alpha coefficient, Student’s t-test, and Hedges’ g.ResultsIntra-rater and inter-rater correlations were significant for mobility (r = 0.90 and r = 0.88, respectively; p &lt; 0.01) and visual acuity (r = 0.86 and r = 0.87, respectively; p &lt; 0.01). Cronbach’s alpha coefficients indicated nearly perfect reliability for mobility (0.97) and visual acuity (0.96). No statistically significant differences were found in intra-rater assessments (p ranging from 0.11 to 0.55) and inter-rater assessments (p ranging from 0.37 to 0.55). Hedges’ g test showed medium effect sizes for the overall fall risk index between S1 and S2 (g = 0.39) and small to medium for other variables.
Effectiveness of mDiabetes intervention in enhancing diabetes awareness and promoting healthy lifestyle changes among the general population in rural India
Authors: Rani Padmaja Kumari , Williams Jachin David , Jaswal Nidhi , Yandluri Venkateswaralu , Sangani Payal , Sanagavarapu Kavya , Natarajan Ramya , Ramalingam Sandhya , Saligram Nalini , Khanna Rohit C. 
Published: January 2025

AimThis study aimed to assess the impact of a mHealth and community health education intervention on diabetes awareness and promoting healthy dietary and lifestyle habits within a rural population in Andhra Pradesh, India.MethodsUsing a quasi-experimental design, the mDiabetes program was implemented for 1 year, among 1,03,538 rural individuals. Under this program, 56 diabetes prevention messages (twice a week) in local language) were disseminated among the participants via voice calls for a period of 6 months. Additionally, community health education meetings were facilitated by trained community health workers and educational leaflets were distributed among the community members. Questionnaires were administered at three different time points-baseline (before the intervention), endline (after intervention), and follow-up (3 months after endline) to collect demographic data, diabetes-related knowledge, attitudes, practices, physical activity, and dietary habits. Analysis compared data from 545 subjects who participated in all the three surveys.ResultsThe cohort comprised 45.5% males and 54.5% females, aged 19–85 years (mean: 55.42; SD 10.3). Post-intervention, diabetes awareness rose to 97.43% at endline and 99.63% at follow-up from 82.75% at baseline. Belief in diabetes preventability increased from 25.5% to 69.5%, and awareness of lifestyle's impact on diabetes management improved from 72.6% to 80.9%. Over 90% recalled prevention messages, with significant lifestyle changes reported by 83% at endline and 73% at follow-up. Improved dietary and activity habits were evident, with fruit consumption and high-fat food avoidance at 78.5% and 67.7% in follow-up. Physical activity levels improved in both endline and follow-up groups compared to baseline. Daily participation in yoga, running, gym, and aerobics increased to 38.7% in endline and follow-up from 7.3% at baseline (p &lt; 0.001). Outdoor sports engagement rose significantly to 15% in endline and follow-up from 0.5% at baseline (p &lt; 0.001). Regular stair usage (59.8%), walking for chores (84.7%), and short walking breaks (93%) increased significantly in follow-up compared to baseline and endline (p &lt; 0.001).ConclusionThe combined mHealth and community health education intervention improved diabetes awareness and healthy habits in rural areas, showing potential for lasting outcomes and guiding future public health efforts in similar settings.