bluuebunny/crossref_metadata_2025_split huggingface dataset:
Antioxidant and Antibacterial Activities of Pteris vittata L. Extracts from Metalliferous Soils: Correlations with Phenolic Compounds
Authors: Nguyen Phuong Nhung , Nguyen Ngoc Lien , Pham Hai Nam , Nguyen Phuong Khanh , Nguyen Thi Kieu Oanh 
Published: February 2025

Objectives Pteris vittata L. is one of the hyperaccumulator plants that can grow in heavy metal-contaminated soil. This plant may tolerate metal stress through different mechanisms, eg, by producing a wide range of secondary metabolites. These compounds play an essential role in physiological function and can also serve as rich sources of chemicals for health benefit purposes. This study aims to determine the phytochemicals of plant extracts and the relationship between these profiles with pharmacological properties to predict active agents and their interaction. Methods The total phenolic and total flavonoid contents were measured by colorimetric assays, while the widely targeted metabolomics was applied to reveal leaf and root P. vittata metabolome. In parallel, the antioxidant and antibacterial effects of these extracts were determined by ABTS scavenging and micro-broth dilution methods. Multivariate analysis, ie, Partial Least Square Regression, calculated the correlation between metabolites and bioactivities. Results The results showed the significant content of phenolics and flavonoids in plants collected from mining soils of Thai Nguyen province, Vietnam, and their potential ABTS scavenging activity. Additionally, the plant's metabolome characterized 82 compounds, mainly secondary metabolites. The multivariate analysis indicated the positive correlation among quercetin derivatives and bioactivity, suggesting the contribution of their combination, not individually, to the antibacterial effect of P. vittata. Conclusion Hyperaccumulators in metalliferous soils are potential reservoirs for exploring the antibacterial agents against multi-drug resistant strains, and this effect may be exerted by additive or synergistic mechanisms of action of multiple compounds.
Gender differences in survival rates among extreme low birth weight infants: Insight from a 16-year, single-centre study
Authors: Al Qurashi Mansour 
Published: February 2025

Background Preterm infants with a birth weight of less than 1000 grams (g), extreme low birth weight (ELBW) account for approximately 0.6% of all live births. Despite their small proportion, they contribute significantly to neonatal deaths, short-term morbidities, and long-term sequalae among survivors. This study aims to evaluate the survival trends of ELBW infants over the study period and the impact of gender on survival odds. Methods This retrospective cohort study involved ELBW infants admitted to our neonatal intensive care unit over 16 years (2008–2023). We examined their survival trends in context with their gender to analyze impact on survival odds. Results Out of 336 infants who met the inclusion criteria, 175 were males (52.1%) and 161 (47.9%) were females. The mean birth weight for males was 780 g (SD = 134 g), and 770 g (SD = 132) for females, while the mean gestational age (GA) was 26.2 weeks (SD = 2.14 week) for males and 26.6 weeks (SD = 2.18 week) for females. Female ELBW infants had a higher survival rate of 78.9% compared to 68.6% for males, with an odds ratio (OR) of 1.712 ( p value = 0.017). The survival advantage for females was more evident among birth weight of less than (<) 750 g (62% vs 44%) with an OR of 2.06 ( p value = 0.023). Conclusion This study demonstrated that female ELBW infants have a higher survival rate than males, particularly with birth weight under 750 g.
Functional characteristics of sleep monitoring devices in China: A real-world cross-sectional study
Authors: Yang Le , Weng Bingtao , Xu Xingyan , Huang Zhi , Ding Run , Si Miaomiao , Fu Yingxin , Zhu Yurui , Jiang Yu , Rao Beibei , Zhang Xinyi , Zhou Qingwei , Lin Shenglan , Guo Yansong , Xie XiaoXu 
Published: February 2025

Background Sleep monitoring devices present potential improvements to address the challenges of sleep disorders. However, systematic evaluations are lacking. This study investigates the functional characteristics of existing sleep monitoring devices in the Chinese market and delves into population preferences. Objective We aim to summarize the characteristics of mobile health devices with sleep monitoring function in China, analyzing product features and market prices, and collect population preferences for mobile health devices, providing a concrete basis for the ongoing development of mobile health technologies. Methods Data on 203 sleep devices were gathered from four major mobile shopping platforms (Tmall, JD.com, Pinduoduo, and Suning) using relevant keywords. A two-level variance model was employed to analyzed the link between device features and sales. Additionally, a structured questionnaire assessed public usage and attitudes towards these devices, with 167 responses collected via social networks. Results Our study found that smart bracelets, which make up 82.6% of sleep monitoring devices, effectively track heart rate, physical activity blood oxygen saturation, sleep duration, and assess sleep quality. Most devices cost under 500 RMB, influencing sales (β  = −1.111 to −3.490, p < 0.001–.002). Features such as sleep quality assessment (β=0.520, p = 0.03), measuring physical activity (β=0.464, p = 0.03) and blood oxygen saturation (β=0.465, p = 0.02) are significantly associated with higher sales volumes. Usage peaks during and after exercise (41.0%) and during sleep (21.3%), with 60.4% preferring to spend under 500 RMB. Conclusions The study confirms a strong preference for smart bracelets with health tracking features, particularly for sleep monitoring, at a price point below 500 RMB. These findings highlight the potential of affordable, multifunctional devices to shape the future of smart healthcare, especially through cloud-based enhancements that improve doctor-patient communication.
Transportation Barriers and Diabetes Outcomes: A Longitudinal Analysis
Authors: Berkowitz Seth A. , Ochoa Aileen , LaPoint Myklynn , Kuhn Marlena L. , Dankovchik Jenine , Donovan Jenna M. , Gao Mufeng , Basu Sanjay , Hudgens Michael G. , Gold Rachel 
Published: February 2025

Objective: To estimate associations between transportation barriers and diabetes outcomes. Methods: Longitudinal cohort study; 86 977 adults with type 2 diabetes mellitus in community-based health centers were assessed for transportation barriers, with up to 36 months of follow-up after initial assessment. We compared scenarios in which individuals did not experience transportation barriers to scenarios in which they did, to estimate differences in mean hemoglobin a1c (HbA1c), systolic and diastolic blood pressure (SBP and DBP), and LDL cholesterol. For analysis, we used targeted minimum loss estimation at the following timepoints after initial transportation barrier assessment: 12 (primary), 6, 18, 24, 30, and 36 months. The study period was June 24, 2016 to April 30, 2023. Results: We estimated that if participants did not experience transportation barriers, mean HbA1c would have been 0.09% lower (95% CI = −0.14% to −0.04%, P = .0002) at 12 months, compared to a scenario in which they did experience transportation barriers. These results were similar at other time points. We also estimated that absence of transportation barriers was associated with, at 12 months, lower SBP (−0.6mm Hg, 95% CI = −1.0mm Hg to −0.2mm Hg, P = .004) and DBP (−0.3mm Hg, 95% CI = −0.5mm Hg to −0.1mm Hg, P = .02), but not LDL (−1.1mg/dL, 95% CI = −2.6 mg/dL to 0.5 mg/dL, P = .19). Results at other time points for SBP, DBP, and LDL outcomes were similar. Conclusions: Absence of transportation barriers was associated with slightly lower hemoglobin A1c and blood pressure, but the small magnitude of the differences suggests that also addressing other factors may be needed to improve diabetes outcomes more meaningfully.
Investigating the Impact of Preoperative Kinesiophobia and Pain on Postoperative Gait Biomechanics Following Anterior Cruciate Ligament Injury
Authors: Lisee Caroline , Baez Shelby , Bjornsen Elizabeth , Thoma Louise , Blackburn Troy , Spang Jeffrey T. , Creighton R. Alexander , Kamath Ganesh , Hu Jessica , Pietrosimone Brian 
Published: February 2025

Background: Aberrant gait biomechanics—ie, lower knee abduction moment (KAM) impulse— are linked to the development of posttraumatic osteoarthritis after anterior cruciate ligament (ACL) injury and ACL reconstruction (ACLR). There is a clinical need to identify modifiable factors, such as kinesiophobia and pain, that may contribute to aberrant gait development after ACLR to advance multimodal rehabilitation strategies. Purpose/Hypothesis: This study aimed to determine associations between preoperative kinesiophobia and pain and gait biomechanics linked to posttraumatic osteoarthritis development at 2 and 4 months after ACLR. We hypothesized that worse preoperative kinesiophobia and pain would be associated with lower KAM impulses in the ACLR limb but not the uninjured limb at 2 and 4 months after ACLR. Study Design: Cohort study; Level of evidence, 2. Methods: Patients within 6 weeks of ACL injury and planning to undergo ACLR with bone-patellar tendon-bone autografts were recruited for the study. Preoperatively, participants completed the Tampa Scale of Kinesiophobia (TSK-11) and Knee injury and Osteoarthritis Outcome Score Pain (KOOS Pain) subscale surveys to assess kinesiophobia (ie, psychological component to pain) and knee pain, respectively. Participants returned at 2 and 4 months after ACLR to complete a 3-dimensional gait biomechanics analysis. KAM impulses during the stance phase were calculated (N*m*s/N*m) for both limbs. Associations of preoperative TSK-11 and KOOS Pain scores with KAM impulses in ACLR and uninjured limbs were analyzed using separate linear regressions. Results: A total of 36 participants (58% women; mean age, 21.4 ± 4.31 years; body mass index, 24.1 ± 3.59 kg/m2 ) completed 3 study visits. Higher preoperative kinesiophobia was associated with lower KAM impulses in the ACLR limb ( R2 = 0.14; P = .02) but not the uninjured limb ( R2 = 0.01; P = .58) at 4 months after ACLR. Preoperative KOOS Pain scores were not associated with KAM impulses in the ACLR and uninjured limbs at 2 and 4 months after ACLR (Δ R2 range, <0.01-0.02; P range = .53-.90). Conclusion: Preoperative kinesiophobia, but not pain, was weakly associated with lower KAM impulses during early to midphases of clinical recovery at 4 months after ACLR.
Modeling the Factors Associated with Nurses’ Knowledge and Perceived Barriers Towards Pressure Injury Prevention: A Multi-Center Study
Authors: Salia Solomon Mohammed , Afaya Agani , Adedia David , Kuug Anthony Kolsabilik , Nyande Felix Kwesi , Wuni Abubakari , Dasaah George , Ibrahim Issah , Kpabiya Fusena Alhassan , Muhibdeen Shani , Osman Issahaku , Adatara Peter , Alhassan Robert Kaba 
Published: February 2025

Background Pressure injury is a preventable public health problem. It may develop due to intense force or force combined with shear. Pressure injuries may be associated with pain and increased length of hospital stay. Adequate knowledge and a positive attitude of nurses are required to prevent pressure injuries. Evidence on pressure injury prevention in Ghana among nurses is limited. Aims and Objectives The study examined factors associated with nurses’ knowledge and perceived barriers toward pressure injury prevention in the Tamale metropolis, Ghana. Methods This was a multi-center descriptive cross-sectional study that recruited 216 nurses using systematic random sampling method. Data were collected using a self-administered questionnaire and analyzed using the R package and Statistical Package for Social Scientists (SPSS) version 27.0. After controlling for covariates, regression analysis determined the predictors of knowledge and attitude toward pressure injury prevention. Results More than two-thirds (79%) of nurses demonstrated good knowledge regarding pressure injury prevention. However, a significant majority (94%) exhibited poor attitudes. Notably, nurses employed in teaching hospitals [aRR = 2.09 (95%CI: 1.31, 3.44), p = .002] and those with 2–4 years of work experience [aRR = 1.96 (95%CI: 1.23, 3.22), p = .004] were significantly more likely to possess good knowledge about pressure injury prevention. Conversely, nurses without prior education on pressure injury prevention [aRR = 0.48(95%CI: 0.23, 0.98), p = .041) were less likely to prevent it. The most perceived barriers were inadequate equipment and logistics and insufficient time/increased workload. Conclusion While nurses exhibited a good knowledge about pressure injury prevention, their attitude toward its prevention was poor, indicating significant gaps that need addressing. Developing a comprehensive pressure injury management document and promoting attitudinal change through continuing professional capacity development may prove timely. The findings highlight the need for addressing organizational barriers that hinder effective nursing practice to improve the quality of care and positive patient outcomes.
Enhancing digital twin technology with community-led, science-driven participatory modeling: A case in green infrastructure planning
Authors: Zellner Moira L , Massey Dean , Laboy Michelle , O’Brien Daniel T , Mueller Amy , Engelberg Daniel 
Published: February 2025

Recent research, professional, and funding agendas have re-surfaced the importance of knowledge co-production and ethical participation to address urban tensions worldwide: urbanization and rapid climate change, disproportionately impacting socially vulnerable populations. Despite the rise of Digital Twins (DT), buoyed by the growth of computational and data technologies in the past 10 to 15 years, DT have fallen short of their promise to address these tensions. We present a participatory modeling (PM) platform, Fora.ai, to build on existing strengths of DT and overcome the most prevalent limitations of data-driven technologies. This platform (i.e., a set of visualization and simulation tools and facilitation and sense-making approaches) is organized around the iterative steps in PM: problem definition and goal setting, preference elicitation, collaborative scenario-building, simulation, tradeoff deliberation, and solution-building. We demonstrate the platform’s effectiveness when set within a stakeholder-led process that integrates diverse knowledge, data sources, and values in pursuit of equitable green infrastructure (GI) planning to address flooding. The immediate visualization of simulated impacts, followed by reflection on causal and spatial relationships and tradeoffs across diverse priorities, enhanced participants’ collective understanding of how GI interacts with the built environment and physical conditions to inform their intervention scenarios. The facilitated use of Fora.ai enabled a collaborative socio-technical sense-making process, whereby participants transitioned from untested beliefs to designs that were specifically tailored to the problem in the study area and the diversity of values represented, attending to both localized flooding and neighborhood-level impacts. They also derived generalizable design principles that could be applied elsewhere. We show how the combination of specific facilitation practices and platform features leverage the power of data, computational modeling, and social complexity to contribute to collaborative learning and creative and equitable solution-building for urban sustainability and climate resilience.
D-Dimer and Fibrinogen Levels as Additional Diagnostic Markers in Patients with Acute Coronary Syndrome
Authors: Kumar Priyanshu , Sahoo Ratnakar , Kumar Vijay 
Published: February 2025

Introduction Recent years have highlighted a special emphasis on the association between Atherosclerosis and D-Dimer and Fibrinogen levels. The purpose of the study was to determine their function as supplementary diagnostic tools in patients of ACS (Acute Coronary Syndrome). Materials and Methods The study included 100 participants (50 controls and 50 cases), categorized into STEMI (ST Elevation Myocardial Infarction), NSTEMI (Non-ST Elevation Myocardial Infarction), and UA (Unstable Angina) based on ECG and Trop-T positivity. D-Dimer and Fibrinogen levels were measured for both controls and cases. Chi-square, Student t-test and ANNOVA test were used by SPSS-PC-25 version. The assessment of cut-off points was carried out using receiver operating characteristic (ROC) curve analysis. Results Mean D-Dimer was 510.5 µg/ml in STEMI, compared to 241.5 µg/ml in NSTEMI and 219.5 µg/ml in UA. Fibrinogen levels were higher in STEMI (511.68 mg/dl) than in NSTEMI (374.42 mg/dl) and UA (346.10 mg/dl). At a D-Dimer cut-off of 420.5 µg/ml, sensitivity and specificity for ACS prediction were 42% and 96%, respectively; for Fibrinogen at 368.5 mg/dl, they were 68% and 82%. For STEMI, at a D-Dimer cut-off of 354 µg/ml, sensitivity and specificity were 78.57% and 95.45%, while for Fibrinogen at 321 mg/dl, they were 85.71% and 50%. Discussion In our study, D-Dimer and Fibrinogen were measured in all the subjects of control group and ACS group and both the parameters were increased in the ACS group with an average of 340 (232-588.25) µg/ml and 453 mg/dl (standard deviation ±201.1) respectively. On the other hand, the control group showed an average D-Dimer of 210.5 µg/ml and Fibrinogen of 270.42 mg/dl (standard deviation ±104.33) which were both within the normal range. Both D-Dimer and Fibrinogen were also calculated for all the subgroups of ACS and the results showed the highest values in the subjects of STEMI. Conclusion D-Dimer and Fibrinogen levels were significantly higher in patients with Acute Coronary Syndrome, particularly in the STEMI subgroup, and can be used as supplementary diagnostic markers.
The impact of lung surgery, with or without (neo-)adjuvant therapy, on physical functioning in patients with nonsmall cell lung cancer: a scoping review
Authors: Haesevoets Sarah , Arents Eva , Cops Dries , Quadflieg Kirsten , Criel Maarten , Ruttens David , Daenen Marc , Stevens Dieter , Surmont Veerle , Demeyer Heleen , Burtin Chris 
Published: February 2025

BackgroundPatients with early stage (I–IIIA) nonsmall cell lung cancer (NSCLC) are typically treatedviasurgery, often accompanied by (neo-)adjuvant therapy. These interventions impose a significant burden on patients and potentially impact their physical functioning (PF). The impact on PF remains uncertain and existing evidence has not yet been systematically outlined.ObjectiveThis scoping review aimed to synthesise evidence concerning the effects of lung surgery, with or without (neo-)adjuvant therapy, on the PF of patients with NSCLC.MethodsPubMed, Web of Science and Cochrane databases were systematically searched from inception until 1 July 2023. A comprehensive framework based on the International Classification of Functioning, Disability, and Health was used to define various aspects of PF. Longitudinal studies, reporting PF prior to and after NSCLC treatment, and cross-sectional studies reporting PF after treatment were included.Results85 included studies assessed the effects of surgery with (n=7) or without (n=78) (neo-) adjuvant therapy on body function (n=29), activity (n=67) and/or participation (n=15). 98% of reported outcomes within the longitudinal studies indicate a decline in PF, with 52% demonstrating significant deteriorations, with follow-up times ranging from immediately post-operative up to 1 year after treatment. Cross-sectional studies show impaired PF in 71% of reported outcomes.ConclusionPF of patients with NSCLC tends to deteriorate following lung surgery, irrespective of additional (neo-)adjuvant therapy. While the negative impact of lung surgery on ICF categories of “body function” and “activity” have been described to some depth, insights into the impact on “participation” are lacking.
Effectiveness of COVID-19 vaccines against SARS-CoV-2 infection and severe outcomes in adults: a systematic review and meta-analysis of European studies published up to 22 January 2024
Authors: Zhou Guiling , Dael Nina , Verweij Stefan , Balafas Spyros , Mubarik Sumaira , Oude Rengerink Katrien , Pasmooij Anna Maria Gerdina , van Baarle Debbie , Mol Peter G.M. , de Bock Geertruida H. , Hak Eelko 
Published: February 2025

BackgroundUp-to-date evidence from European studies on long-term vaccine effectiveness (VE) of COVID-19 vaccines is lacking. This review aimed to evaluate effectiveness and durability of primary vaccine series and boosters in preventing infection and severe outcomes in the European population.MethodsWe conducted systematic searches of PubMed and Embase up to 22 January 2024. We included observational studies that evaluated VE against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection or severe disease (hospitalisation, intensive care unit admission or death) for primary series and boosters in Europe. We applied a random-effects meta-analysis model.ResultsWe included 33 studies and over 56 million participants. The overall VE of the complete primary series against infection with any SARS-CoV-2 variant was 70.7%. VE was lower for Omicron, at 26.1%, than for pre-Omicron strains, at 77.0%. Over time, VE against infection by any variant decreased from 68.9% to 38.9% after 6 months. Boosters restored VE to 76.4% and maintained at 58.4% after 3 months. The overall VE of a complete primary series for severe outcomes due to any variant was 87.4%, with 93.3% for pre-Omicron and 62.8% for Omicron strains. Protection against severe outcomes declined less than for infection. 6 months after the primary series, the vaccine still provided over 50% protection against severe outcomes caused by Omicron. Boosters restored VE to 87.9% and maintained at 78.5% after 3 months.ConclusionVE against SARS-CoV-2 infection declines markedly with time and Omicron variants. Protection against severe outcomes was more durable and resistant to viral mutation. Boosters restored protection, emphasising the need for timely booster vaccination for vulnerable populations.