bluuebunny/crossref_metadata_2025_split huggingface dataset:
Recent Updates on the Management of Split-thickness Skin Graft Donor Sites
Authors: Markel Justin E. , Franke Jacob D. , Woodberry Kerri M. , Fahrenkopf Matthew P. 
Published: September 2024

Background:
This article is a narrative review of split-thickness skin graft donor site (STSG-DS) management since the international guidelines were created in 2018. Although many new interventions have been developed, there is a lack of quality, multicentered clinical trials to produce updated evidence-based recommendations.

Methods:
Electronic databases, including Google Scholar, Web of Science, Medline, and PubMed, were searched by two independent researchers for literature regarding STSG-DS management published from 2018 through 2022, using specific terms in the text, title, and abstract. The primary endpoint assessed was STSG-DS healing, as measured by wound epithelialization.

Results:
Thirty-one articles were selected, including three systemic review/meta-analyses, five case series, 14 randomized controlled clinical trials, six observational studies, and three nonrandomized trials. Novel interventions for STSG-DS management included in this article describe applications of human amniotic membranes, acellular dermal matrices, cell suspensions and growth factors, biomaterials, electromagnetic radiation, and natural products.

Conclusion:
Various interventions have shown promise for STSG-DS management since the creation of the 2018 international guidelines; however, studies with more standardized protocols and endpoints are needed to produce up-to-date, evidence-based recommendations and improve outcomes for patients undergoing split-thickness skin grafting.
The Surfactant Properties of Clindamycin as a Useful Adjunct for Removing Ruptured Silicone Implants
Authors: Alnaseri Tahera , Musavi Leila , Deming Timothy , Roostaeian Jason , Da Lio Andrew , Mason Thomas G. , DeLong Michael R. 
Published: September 2024

Background:
Silicone gel removal after breast implant rupture is a difficult task. Silicone is hydrophobic and thus cannot be irrigated effectively with saline. Attempts at mechanical removal with sponges are often partially successful. Incomplete removal results in persistent silicone contamination with possible local inflammation, infection, and silicone granulomata. In this partially quantitative investigation, we assess the de-adhesion ability of different clindamycin formulations against known surfactant controls when combined with silicone gel.

Methods:
To demonstrate surfactant properties in vitro, clindamycin phosphate, clindamycin hydrochloride, and a known surfactant, sodium dodecyl sulfate (SDS), were compared. An amount of 170 g of silicone gel placed in a dry glass container exhibited strong adherence to the container walls. In separate trials, clindamycin phosphate (300 mg in 100 mL), clindamycin HCl (300 mg in 100 mL), and SDS (1 g in 100 mL) solutions with normal saline were added to the silicone aggregate, and de-adhesion properties were compared.

Results:
All solutions aided in the de-adhesion of the sticky silicone from glass substrate. The SDS had the strongest effect, followed by clindamycin phosphate and then clindamycin HCl. The observed interactions suggested that all of the solutions behaved as ionic surfactant coating the silicone with negative charges via adsorption. However, the phosphate anionic formulation was associated with a greater surfactant effect than HCl.

Conclusions:
Clindamycin acts as a surfactant to aid in the clinical removal of ruptured silicone gel. Clindamycin phosphate seems to have a stronger effect than clindamycin HCl, likely related to the negative charges on the phosphate groups.
Predictors of Sepsis and Sepsis-related Mortality in Critically Ill Burn Patients: A Single Tertiary Care Center Experience
Authors: Alqirnas Muhannad Q. , Jarman Yazeed A. , Almosa Abdulaziz S. , Alharbi Shaden S. , Alhamadh Moustafa S. , Qasim Salman S. , Alhusainan Hanan 
Published: September 2024

Background:
Clinical diagnosis of sepsis is challenging, emphasizing the importance of regular bacterial surveillance, and tailored antimicrobial therapy. This study aims to elucidate the predictors of sepsis in critically ill burn patients.

Methods:
A retrospective analysis was conducted on patients admitted to the burn intensive care unit between 2016 and 2022. Demographics, type of burn, total body surface area (TBSA), presence of inhalation injury, mortality, sepsis, deep vein thrombosis, pulmonary embolism, pneumonia, cultures, and laboratory findings were collected. Descriptive statistics and survival analysis were used to analyze trends during the 7-year period.

Results:
The study encompassed 196 participants. Among patient factors, men constituted 73.4% (n = 102) of those without sepsis and 86.0% (n = 49) with sepsis, with an association between sepsis and lower age (34 versus 41 years) as well as larger TBSA (41.1% versus 17.3%). Inhalation injury was a significant predictor of sepsis [35.1% (n = 20) versus 11.6% (n = 16)]. Mortality was higher in sepsis cases [17.5% (n = 10) versus 2.9% (n = 4)], as well as positive blood cultures [47.4% (n = 27) versus 2.2% (n = 3)], positive wound cultures [71.9% (n = 41) versus 12.2% (n = 17)], and positive fungal cultures [12.3% (n = 7) versus 0% (n = 0)]. Multivariable analysis identified age and TBSA as significant predictors of sepsis (P = 0.025, P < 0.001).

Conclusions:
Age, TBSA affected emerge as a strong risk factor for sepsis among critically ill burn patients. It underscores the need for vigilant monitoring to improve outcomes and reduce sepsis-related mortality.
Neuroinflammatory Biomarkers and Their Associations With Cognitive, Affective, and Functional Outcomes 3 to 12 Months After a Traumatic Brain Injury: A Pilot Study
Authors: Collazos Kathryn S.G. , Alvarez Gemayaret , Alamian Arsham , Behar-Zusman Victoria , Downs Charles A. 
Published: September 2024

Background:
Neuroinflammation is an important feature of traumatic brain injury (TBI) that remains poorly understood in the 3- to 12-month period post-TBI.

Objective:
The purpose of our pilot study was to examine the relationships between biomarkers of neuroinflammation and functional outcomes in TBI patients 3 to 12 months postinjury.

Methods:
TBI patients (n = 36) 3 to 12 months post-TBI were recruited from a South Florida TBI clinic from May 2022 to June 2023. The Disability Rating Scale, Satisfaction with Life Scale, NIH Toolbox Sorting Working Memory, Neuro-Quality of Life Cognitive Function, Anxiety, Depression, and Sleep assessments were performed. Multiple plasma biomarkers were assayed. Analysis of variance was used to compare between-group results. Linear regression was performed to analyze relationships between biomarkers and outcomes.

Results:
Brain-derived neurotrophic factor concentrations were higher as postinjury time interval increased and were associated with cognitive battery outcomes. S-100β and glial fibrillary acidic protein were associated with anxiety score and hospital length of stay; S-100β was also associated with depression. Interleukin 6 was associated with cognitive function score and time since injury.

Conclusions:
We found S-100β, glial fibrillary acidic protein, Interleukin 6, and brain-derived neurotrophic factor to play a larger role in the TBI recovery period than other biomarkers examined. Clinicians should continue to monitor for symptoms post-TBI, as the neuroinflammatory process continues to persist even into the later rehabilitation stage.
Outcomes of internal fixation with Femoral Neck System (FNS) for intracapsular femoral neck fractures
Authors: Tarrant Seth A. , Mitchell Brendan P. , Blankespoor Michael G. , Littell Zane D. , Zackula Rosalee E. , Lais Randall L. , Dart Bradley R. 
Published: September 2024

Abstract

Background:
Internal fixation of hip fractures is associated with high reoperation rates. This study investigated the reoperation rates after internal fixation with the femoral neck system (FNS).

Materials and Methods:
A single-institution cohort study was conducted on patients aged 18 years or older who sustained intracapsular femoral neck fractures and underwent internal fixation with a fixed-angle implant. Surgeons, patients, and investigators were not blinded. The primary outcome was any hip reoperation at the final follow-up. Secondary outcomes were to characterize a cohort of patients regarding demographics, fracture classification, intraoperative findings, postoperative fracture complications and union rates, and postoperative pain.

Results:
This study found that internal fixation with FNS for intracapsular femoral neck fractures was associated with a 23% rate of revision surgery. Of the initial 94 patients who received FNS internal fixation, 44 patients were included for analysis; of those, 10 patients underwent revision surgery. Patients had a 22% rate of in-hospital medical adverse events with a 30-day readmission rate of 9%. Increasing body mass index was associated with increased revision rates (P = 0.037). Patients who sustained displaced femoral neck fractures had a significant decrease in SF-12 Mental Health Composite, SF-12 Physical Health Composite, and quality-of-life subscale scores.

Conclusions:
The FNS is a viable alternative for internal fixation of intracapsular femoral neck fractures. The observed rate of revision after internal fixation was comparable with previously published outcomes following fixation with cannulated screws and sliding hip screws.

Level of Evidence:
Level IV, Therapeutic Study.
Implementation of a heart failure disease management program in the rural southern United States: a best practice implementation project
Authors: Johnson Amy Chapman , Upchurch Linda 
Published: September 2024

ABSTRACT

Background:
Heart failure affects thousands of patients annually, often resulting in hospitalization, emergency room visits, and decreased quality of life. The scientific evidence indicates that disease management programs using a multidisciplinary approach improve outcomes for heart failure patients.

Aim:
The overarching aim of this evidence implementation project was to establish a disease management program for heart failure patients. Specifically, the project sought to promote compliance with best practices for the early identification of heart failure exacerbation symptoms to prevent emergency room visits and hospitalizations, thereby reducing morbidity and mortality.

Methods:
This project was guided by the JBI Evidence Implementation Framework, which is grounded in an audit, feedback, and re-audit strategy. A baseline audit was conducted, revealing the need for a heart failure disease management program. A policy was developed to implement a disease management program and virtual relationships were established to create a multidisciplinary team. A follow-up audit was conducted to determine whether the implemented interventions closed the gap in practice identified by the baseline audit.

Results:
The baseline audit revealed 0% compliance with best practices for the management of patients with heart failure, while the follow-up audit revealed 93.3% compliance.

Conclusions:
This project enhanced best practices by implementing a protocol in a rural health clinic to ensure that all heart failure patients were enrolled in a disease management program. Recommendations include using the electronic health record to quickly identify heart failure patients and their status in a disease management program. Chart audits should be performed every 6 months to ensure the program's sustainability and to determine heart failure patients’ enrollment status.

Spanish abstract:

http://links.lww.com/IJEBH/A270
Monthly macroalgal surveys reveal a diverse and dynamic community in an urban intertidal zone
Authors: Schenk Siobhan , Supratya Varoon P , Martone Patrick T , Parfrey Laura W 
Published: September 2024

AbstractBaseline data are critical to measuring how communities shift in response to climate change and anthropogenic activity. Macroalgae are marine foundation species that are vulnerable to climate change, but baseline macroalgal biodiversity data are lacking for many areas of British Columbia, particularly at a high temporal resolution over years. This presents an obstacle for measuring how communities change in response to shifting average conditions as well as after extreme events, such as the 2021 heat dome. To increase baseline macroalgae biodiversity data in British Columbia, we established a monthly transect-based macroalgal survey in 2021 at an urban intertidal site with a low-cost and easily replicable survey protocol, in addition to publishing a previously unpublished 1983-1984 historical dataset of the same area. Our datasets and our survey protocol are freely available. Over 35 months we have recorded 61 taxa of macroalgae, including the canopy forming kelpNereocystis luetkeanaand the introduced fucoidSargassum muticum. Surveying throughout the year at regular intervals has revealed large-scale seasonal shifts in macroalgal community composition, the timing of kelp recruitment, and a decrease in abundance ofFucus distichusin the upper intertidal zone over multiple years. Our publicly accessible data constitute the most comprehensive survey of intertidal macroalgal diversity in Burrard Inlet, illustrating how simple surveying methods can provide high resolution records of macroalgae biodiversity, particularly in easily accessible urban environments.
Towards Longitudinal Characterization of Multiple Sclerosis Atrophy Employing SynthSeg Framework and Normative Modeling
Authors: Gordaliza Pedro M. , Molchanova Nataliia , Wynen Maxence , Maggi Pietro , Janssen Joost , Banus Jaume , Cagol Alessandro , Graziera Cristina , Cuadra Meritxell Bach 
Published: September 2024

AbstractMultiple Sclerosis (MS) is a complex neurodegenerative disease characterized by heterogeneous progression patterns. Traditional clinical measures like the Expanded Disability Status Scale (EDSS) inadequately capture the full spectrum of disease progression, highlighting the need for advanced Disease Progression Modeling (DPM) approaches. This study harnesses cutting-edge neuroimaging and deep learning techniques to investigate deviations in subcortical volumes in MS patients. We analyze T1-weighted and Fluid-attenuated inversion recovery (FLAIR) Magnetic Resonance Imaging (MRI) data using advanced DL segmentation models,SynthSeg+andSynthSeg-WMH, which address the challenges of conventional methods in the presence of white matter lesions. By comparing subcortical volumes of 326 MS patients to a normative model from 37,407 healthy individuals, we identify significant deviations that enhance our understanding of MS progression. This study highlights the potential of integrating DL with normative modeling to refine MS progression characterization, automate informative MRI contrasts, and contribute to data-driven DPM in neurodegenerative diseases.
Detailed Colocalization Analysis of A- and B-type Nuclear Lamins: a Workflow Using Super-Resolution STED Microscopy and Deconvolution
Authors: Stiekema Merel , Gibson Owen N. , Veltrop Rogier J.A. , Ramaekers Frans C.S. , Broers Jos L.V. , van Zandvoort Marc A.M.J. 
Published: September 2024

AbstractThe inner nuclear membrane is covered by a filamentous network, the nuclear lamina, consisting of A- and B-type lamins as its major components. The A- and B-type lamins form independent but interacting and partially overlapping networks, as demonstrated by previous super-resolution studies. The nuclear lamina in fibroblast cultures derived from laminopathy patients shows an increased segregation of the A- and B-type lamin networks, which can be quantitatively expressed by the Pearson’s Correlation Coefficient (PCC). Blurring and noise (convolution), however, significantly affect the quality of microscopy images, which led us to optimize the deconvolution approach for Confocal Scanning Laser Microscopy (CSLM) and Stimulated Emission Depletion (STED) microscopy images. For that purpose, the differences in using a theoretical, experimental, or semi-experimental Point Spread Function (PSF), an important parameter for deconvolution, was evaluated for its use in deconvolution of CSLM and STED microscopy images of double immunolabeled healthy and laminopathy patient fibroblasts. The semi-experimental is a new PSF introduced in this study, which combines the theoretical and experimental PSF to solve issues that arise from noisy PSF recordings due to very small and thereby low intensity fluorescent beads. From these deconvoluted images, the colocalization of the lamin networks could not only be quantified at the level of the nucleus as a whole, but also at a subnuclear level. The latter was achieved by dividing the nucleus into multiple equal rectangles using a custom-made ImageJ macro in Fiji. In this detailed analysis, we found heterogeneity in the colocalization of lamins A/C and B1 within and between nuclei in both healthy and laminopathy dermal fibroblasts, which cannot be detected in one single analysis for the entire nucleus.
PangeBlocks: customized construction of pangenome graphs via maximal blocks
Authors: Avila Cartes Jorge , Bonizzoni Paola , Ciccolella Simone , Della Vedova Gianluca , Denti Luca 
Published: September 2024

AbstractBackgroundThe construction of a pangenome graph is a fundamental task in pangenomics. A natural theoretical question is how to formalize the computational problem of building an optimal pangenome graph, making explicit the underlying optimization criterion and the set of feasible solutions. Current approaches build a pangenome graph with some heuristics, without assuming some explicit optimization criteria. Thus it is unclear how a specific optimization criterion affects the graph topology and downstream analysis, like read mapping and variant calling.MethodsIn this paper, by leveraging the notion of maximal block in a Multiple Sequence Alignment (MSA), we reframe the pangenome graph construction problem as an exact cover problem on blocks calledMinimum Weighted Block Cover(MWBC). Then we propose an Integer Linear Programming (ILP) formulation for the MWBC problem that allows us to study the most natural objective functions for building a graph.ResultsWe provide an implementation of the ILP approach for solving the MWBC and we evaluate it on SARS-CoV-2 complete genomes, showing how different objective functions lead to pangenome graphs that have different properties, hinting that the specific downstream task can drive the graph construction phase.ConclusionWe show that a customized construction of a pangenome graph based on selecting objective functions has a direct impact on the resulting graphs. In particular, our formalization of the MWBC problem, based on finding an optimal subset of blocks covering an MSA, paves the way to novel practical approaches to graph representations of an MSA where the user can guide the construction.
Realistic mossy fiber input patterns to unipolar brush cells evoke a continuum of temporal responses comprised of components mediated by different glutamate receptors
Authors: Huson Vincent , Regehr Wade G. 
Published: September 2024

AbstractUnipolar brush cells (UBCs) are excitatory interneurons in the cerebellar cortex that receive mossy fiber (MF) inputs and excite granule cells. The UBC population responds to brief burst activation of MFs with a continuum of temporal transformations, but it is not known how UBCs transform the diverse range of MF input patterns that occurin vivo. Here we use cell-attached recordings from UBCs in acute cerebellar slices to examine responses to MF firing patterns that are based onin vivorecordings. We find that MFs evoke a continuum of responses in the UBC population, mediated by three different types of glutamate receptors that each convey a specialized component. AMPARs transmit timing information for single stimuli at up to 5 spikes/s, and for very brief bursts. A combination of mGluR2/3s (inhibitory) and mGluR1s (excitatory) mediates a continuum of delayed, and broadened responses to longer bursts, and to sustained high frequency activation. Variability in the mGluR2/3 component controls the time course of the onset of firing, and variability in the mGluR1 component controls the duration of prolonged firing. We conclude that the combination of glutamate receptor types allows each UBC to simultaneously convey different aspects of MF firing. These findings establish that UBCs are highly flexible circuit elements that provide diverse temporal transformations that are well suited to contribute to specialized processing in different regions of the cerebellar cortex.
Which type of information’s quality in live streaming commerce captures consumers’ attention the most? Considering the moderating role of network size
Authors: Shi Hailing , Wang Yaqi , Gong Xiaoya , Deng Fumin 
Published: September 2024

PurposeThis study aims to identify which types of information quality influence purchase intentions the most in live streaming commerce and to examine the role of network size in this context.Design/methodology/approachWe propose a model to investigate the correlation among the quality of different information in live streaming commerce, consumer trust, network size and purchase intention. An empirical analysis of 505 questionnaires was conducted by constructing a structural equation model.FindingsThe empirical findings indicate that information quality can directly enhance purchase intention and exert an indirect influence through the mediating factors of trust in products and streamers. Perceived network size positively moderates the relationship between information quality and trust in products. Of the five types of information, the quality of bullet-screen comments information is most important to consumers.Originality/valueThis study represents the first systematic analysis of how the quality of multiple types of information in live streaming commerce influences consumer trust and purchase intention, integrated within a unified framework. It uniquely introduces network size as a moderating variable, offering both theoretical insights and practical guidance for balancing information quality with network size in live streaming commerce environments.
How enterprises in the digital age can “break through the cocoon and become new”: a study based on social media strategic capability
Authors: Zhao Xin , Li Zhengwei 
Published: September 2024

PurposeSocial media is booming in the digital age, and its rich availability provides many opportunities for companies to innovate across borders. In reality, how enterprises use social media to achieve cross-border innovation also faces important challenges such as breaking path dependency.Design/methodology/approachThis paper explores how social media can facilitate cross-border innovation from the perspective of strategic capability, combined with the path dependency theory and attention-based view. Hierarchical regression analysis and bootstrap method are adopted to test the hypotheses based on survey data provided by 173 firms in China.FindingsThe findings show a positive relationship between social media strategic capability and cross-border innovation, with path dependency playing a mediating role. In addition, two internal and external contextual factors, namely customer embeddedness and competitive pressure, play moderating roles, with customer embeddedness negatively moderating the negative relationship between social media strategic capability and path dependency and competitive pressure negatively moderating the negative relationship between path dependency and cross-border innovation.Originality/valueThese findings provide not only new insights into social media and cross-border innovation but also theoretical guidance on how companies can effectively use social media in practice.