bluuebunny/crossref_metadata_2025_split huggingface dataset:
Validity and Accuracy of the Derived Left Ventricular End-Diastolic Pressure in Impella 5.5
Authors: Poyanmehr Reza , Hanke Jasmin S. , Boethig Dietmar , Merzah Ali Saad , Karsten Jan , Frank Paul , Hinteregger Martin , Zubarevich Alina , Dogan Günes , Schmitto Jan D. , Schäfer Andreas , Napp L. Christian , Popov Aron Frederik , Weymann Alexander , Bauersachs Johann , Ruhparwar Arjang , Schmack Bastian 
Published: January 2025

BACKGROUND:
Consensus regarding on-support evaluation and weaning concepts from Impella 5.5 support is scarce. The derived left ventricular end-diastolic pressure (dLVEDP), estimated by device algorithms, is a rarely reported tool for monitoring the weaning process. Its validation and clinical accuracy have not been studied in patients. We assess dLVEDP’s accuracy in predicting pulmonary capillary wedge pressure (PCWP) and propose a corrective equation.

METHODS:
We included 29 consecutive patients treated with Impella 5.5: 12 in a generation cohort and 17 in a validation cohort. dLVEDP and PCWP were measured 5-fold every 8 hours during support, totaling 698 series with 3490 measurements. Variables such as Impella 5.5 performance level, heart rhythm, pacemaker settings, sex, mechanical ventilation, and body mass index were recorded. Linear regression was used to correct dLVEDP-PCWP discrepancies. Analysis included Bland-Altman plots, linear regression, histograms, and violin plots.

RESULTS:

The raw dLVEDP and PCWP data did not coincide satisfactorily. The Impella 5.5 dLVEDP overestimation was 3.5±1.5 mm Hg (mean±SD), increasing with higher pressures and unaffected by cardiac rhythm, mechanical ventilation, and performance levels. Statistical correction using the formula modified dLVEDP=−0.457+(1−sex[1=male, 0=female])×0.719−0.0496× body mass index+1.015×body surface area+0.811×dLVEDP significantly reduced the overestimation (
P
<0.01) to 0.0±1.2 mm Hg.

CONCLUSIONs:
dLVEDP, calculated by the Impella 5.5 Smart Algorithm, is a feasible and effective tool for continuously monitoring PCWP at performance levels 3 to 9. Correction of dLVEDP by using the described equation further enhances its accuracy. Hence, hemodynamic surveillance via dLVEDP may aid in managing and weaning temporary microaxial support, potentially reducing the need for continuous monitoring with a Swan-Ganz catheter.
Creation and Evaluation of the Freezing Rain Accumulation National Analysis (FRANA) in Preparation for NWS Operations
Authors: Tripp Daniel D. , Werkema Adam D. , Reeves Heather D. , Barjenbruch Brian L. , Sanders Kristopher J. 
Published: January 2025

Abstract
In response to a National Weather Service (NWS) requirement for a gridded analysis of ice accumulation, the Freezing Rain Accumulation National Analysis (FRANA) is created for nowcasting and postevent verification of freezing rain/drizzle (FZRA/FZDZ) ice accumulations. This product generates CONUS-wide hourly flat and radial ice accumulations for 1-, 3-, 6-, 12-, and 24-h windows. The core science algorithm within FRANA that converts liquid to ice accumulation is the Freezing Rain Accumulation Model (FRAM). The inputs to FRANA come from the High-Resolution Rapid Refresh analyses of 2-m wet-bulb temperature and 10-m wind speed and the Multi-Radar Multi-Sensor (MRMS) hourly multisensor quantitative precipitation estimate. An additional trace ice footprint was added to FRANA to help forecasters identify areas of light FZRA/FZDZ. A 3-yr retrospective analysis reveals that FRANA can overestimate or underestimate the icing footprint due to NWP temperature uncertainty, precipitation-type error, radar overshooting, precipitation evaporating below the lowest radar tilt, or MRMS quality control. For accumulating ice, FRANA has a modest RMSE of 1.27 mm (0.05 in.) and event-maximum errors typically less than 2.54 mm (0.1 in.). In fact, 88% of the events in the study had less than 2.54-mm (0.1 in.) absolute error which is within the tolerance range for many operational applications. Additionally, lower storm-total accumulations are found to be associated with lower absolute error. Example events show how FRANA can provide guidance to forecasters on the spatial extent of icing as well as “hotspots” where higher accumulations may cause significant socioeconomic disruptions.

Significance Statement
Freezing rain is a dangerous form of precipitation that can cause slippery roads and power outages. While the National Weather Service (NWS) generates forecasts of ice accumulations, there are limited validation data available to evaluate the accuracy of these forecasts. Moreover, there is no real-time analysis of ice accumulation to aid in nowcasting. The aim of this research is to produce such an analysis and is referred to as the Freezing Rain Accumulation National Analysis (FRANA). It was found that FRANA is skillful and can provide guidance to forecasters on ice accumulations in areas where there are no weather stations to observe ice. The areas where FRANA performs poorly are typically associated with poor/contaminated radar coverage or weather model/algorithm errors.
Set up to fail: Explaining systemic problems in the business model of in-home aged care
Authors: Lewis Rachael L , McAllister Gillian , Brown David A , Rawlings-Way Olivia , Sutton Nicole C , McEwen Celina , Parker Deborah , Ma Nelson 
Published: January 2025

We seek to explain the role of external environmental constraints in embedding systemic problems within a dominant industry business model. Using qualitative data from the 2019–2021 Australian Royal Commission into Aged Care Quality and Safety, we show how three sector-wide constraints – channel constraints, revenue constraints and resource constraints – impinge on the business model for in-home aged care services, creating direct, first-order effects by embedding systemic problems directly within business model components. We also explain how second-order effects occur through interdependencies with other business model components. We discuss the consequences of our findings for value creation and value capture, and the implications for the delivery of quality care to older people. Through this analysis, we also contribute to the business models literature by extending our understanding of the impact of external factors on business model performance, innovation and managerial choice. JEL Classification: L2 - Firm Objectives, Organization, and Behavior, M4 - Accounting and Auditing, I11 - Analysis of Health Care Markets.
Increasing incidence of Mycoplasma genitalium is driven by people living with HIV and PrEP users
Authors: Rossotti Roberto , Nava Alice , D’Amico Federico , Baiguera Chiara , Fanti Diana , Inglese Elvira , Raimondi Alessandro , Bana Nicholas Brian , Spelzini Federico , Bini Maurizio , Vismara Chiara , Puoti Massimo 
Published: January 2025

Background Mycoplasma genitalium (MG) is responsible for non-gonococcal urethritis. Our aim is to describe MG positivity rate and incidence in specific populations. Methods Retrospective, surveillance study included all samples collected from 2018 to 2022. All samples were tested with Anyplex II STI7 (Seegene). Incidence rate (IR) was calculated, incidence rate ratios (IRRs) were assessed using Poisson regression model. Results The study included 13,504 samples belonging to 7,692 individuals. Overall positivity rate was 2.9% (95%CI 2.6–3.2). Subgroups showed significant differences: 13.6% in PrEP users, 5.2% in STI clinic, 4.6% in people living with HIV (PLWH), 1.2% in Gynecology/Obstetrics Department, 0.5% in Fertility clinic, and 0.5% in the “Other” group ( p < .001). A significant increasing temporal trend was registered for PLWH. Over a cumulative follow up of 2,554 years, 293 incident infections were registered with an IR of 11.5 per 100PYFU. Departments showed diverse IRs: 7.9 per 100PYFU for PLWH, 30.1 per 100PYFU for PrEP users, 22.7 per 100PYFU for STI clinic. Poisson regression model found a significant increase in incident rates over time in the overall study population driven by PLWH and PrEP users. Conclusions MG is uncommon in the general population with stable trends, while PLWH and PrEP users exhibit increasing positivity rate and incidence.
Outcomes of Osteosynthesis of Os Subfibulare for Chronic Lateral Ankle Instability With Large Os Subfibulare
Authors: Yoon Yeo Kwon , Park Kwang Hwan , Shim Dong Woo , Lee Wonwoo , Yoon Yong Hyun , Han Seung Hwan , Lee Jin Woo 
Published: January 2025

Background: Os subfibulare (OS) is commonly found in patients with chronic lateral ankle instability (CLAI). When performing lateral ligament reconstruction for CLAI, excision of a large OS can cause substantial lateral ligament defects making anatomic repair challenging. This study analyzed clinical and radiologic outcomes among patients who underwent osteosynthesis of the OS for chronic lateral ankle instability and a large OS. Methods: 28 ankles with CLAI and a large OS (≥10 mm) that underwent osteosynthesis of the OS between June 2007 and July 2021 were included in the study and followed for ≥24 months. Visual analog scale (VAS) for pain, Karlsson-Peterson ankle score, and Medical Outcomes Study Short Form Health Survey–36 physical component summary (SF-36 PCS), talar tilt angle, and anterior displacement of the talus were used to assess clinical and radiologic outcomes. All reoperations and complications were also evaluated. Results: The mean OS size was 15.4 mm (range, 12.2-21.0 mm). The mean follow-up period was 78.9 months (range, 24.0-177.0 months). Mean VAS score, Karlsson-Peterson ankle score, SF-36 PCS, talar tilt angle, and anterior displacement of the talus all improved significantly, from preoperative values of 5.3 ± 1.8, 38.4 ± 10.6, 45.6 ± 10.8 points, 11.1 ± 5.7 degrees, and 7.3 ± 1.9 mm, to 0.9 ± 1.4, 88.7 ± 12.6, 80.2 ± 12.3 points, 3.9 ± 2.0 degrees, and 4.8 ± 1.3 mm, respectively, by the last follow-up. The overall complication rate was 10.7% (3 ankles); the reoperation rate was 7.1% (2 ankles). Conclusion: Osteosynthesis of the OS produced satisfactory outcomes in patients with CLAI and a large OS. This method may be a viable surgical option for patients with this condition.
Appropriate tourniquet use in surgery: A literature review
Authors: Fay Darcy , Fay Tayla , Hoskins Wayne , Bingham Roger 
Published: January 2025

Background: Tourniquet use is ubiquitous in the operating theatre. However, optimal tourniquet usage is unclear, including type, pressure, inflation time, or whether a tourniquet should be used at all. This study reports a literature review of tourniquet use, comparing type, pressure, duration, effectiveness, and the spectrum of complications in an adult surgical population. Results: Data regarding population size, surgery performed, tourniquet type, tourniquet location, total tourniquet inflation time, timing of inflation and deflation, pressure, and complications were recorded. Postoperative tourniquet-related pain was the commonest adverse event. Other complications included venous thromboembolism, wound healing issues, neuropathy, and abrasions. Findings suggest that most surgeons use standardised pressures. Conclusion: Tourniquets are associated with a spectrum of complications. It is unclear whether tourniquet use provides better surgical outcomes. If tourniquets are used, surgeons should minimise the application pressure and duration. This may be achieved through a patient-centred approach and careful use of padding.
Optimized extraction and kinetic study of cholesterol oxidase from a newly isolated Escherichia fergusonii strain from local whey samples: insights through a combined experimental study and artificial neural network modeling
Authors: Khataee Simin , Dehghan Gholamreza , Rashtbari Samaneh , Marefat Arezu , Jamei Sina , Farzi-Khajeh Hamed 
Published: January 2025

Abstract

Background
Microbial cholesterol oxidase (ChoX) has wide clinical and industrial applications; therefore, many efforts are being made to identify promising sources. This study aimed to isolate a novel ChoX-producing bacterial strain from whey samples.

Results
The most efficient strain was selected based on extracellular ChoX-producing ability and characterized as Escherichia fergusonii (E. fergusonii) through molecular and biochemical analysis. The maximum production of ChoX was obtained at the optimum condition of 48 h of incubation under shaking conditions (130 rpm) at 35 °C in a basal medium adjusted to pH 6.5, including 1.4 g/L cholesterol as a sole carbon. The crude product was purified by ammonium sulfate precipitation and followed by ion exchange chromatography utilizing Q-Sepharose, resulting in 5.35-fold and 13.86-fold purification, respectively, with a final specific activity of 15.8 U/mg. Additionally, molecular weight was determined by SDS-PAGE to be 49.0 kDa. The optimum conditions required for the higher cholesterol decomposition ability of purified ChoX were suggested to be 30 °C and pH 7.5 in the presence of MgSo4 with a K

m
value of 0.71 mM. However, other case studies of metal ions showed an unfavorable effect on enzymatic performance. The enzyme retained almost 72.0% of its initial activity after 80 days of storage at 4 °C. Furthermore, the ChoX enzyme revealed acceptable stability at a pH value of 6.5 to 8.5, maintaining its initial activity of more than 50.0%. Finally, an artificial neural network (ANN) was designed to predict the most effective factor in the fermentation process for enzyme production and the purified ChoX activity.

Conclusions
Considering the properties of the extracted enzyme from E. fergusonii, it would be regarded as a potential ChoX source for commercial applications.
Exercise interventions to improve bone mineral density in athletes participating in low-impact sports: a scoping review
Authors: Florvåg Anders Gulbrandsen , Berg Øyvind Angelshaug , Røksund Ola Drange , Jorem Gøril Tvedten , Bogen Bård Erik 
Published: January 2025

Abstract

Background
Athletes participating in low-impact sports such as cycling and swimming are at increased risk for low bone mineral density, which may lead to long-term health issues. Exercise is known to increase bone mineral density, but there is little knowledge of the effects of this in athletes participating in low-impact sports. This review aims to identify potential exercise interventions that could improve bone health in these athletes.

Methods
There appears to be little research on this topic, and we addressed the research question using a scoping review to get a broad overview of the research literature. The scoping review was conducted following the methodological framework of Arksey and O´Malley. A literature search was conducted May 2024 in SPORTDiscus, Web of Science, Scopus, MEDLINE, EMBASE, Cinahl, Cochrane, and Google Scholar. The Consensus on Exercise Reporting Template was used to evaluate the reporting of the exercise intervention(s).

Results
A total of 2528 studies were screened and assessed for eligibility. Five studies met the inclusion criteria reporting results of exercise interventions on bone mineral density in cyclists and swimmers. Different designs were applied, and study populations varied. Five populations were explored; one cohort of adolescent swimmers (both sexes), one cohort of female Olympic artistic swimmers, one cohort of elite road cyclists (both sexes), one cohort of male competitive amateur cyclists, and one cohort of trained to well-trained cyclists (both sexes).

Conclusion
This scoping review found that resistance training, plyometric exercises, whole-body vibration, and a combined jumping exercise with collagen supplementation show promising results in improving bone mineral density in athletes participating in cycling and swimming. However, there is limited evidence due to few identified studies, with varying study designs and inconsistent exercise reporting, highlighting the need of further research to better understand how different training approaches can improve bone health in these athletes.
Strengths use and thriving at work among nurses: a latent profile and mediation analysis
Authors: Wu Jing , Shen Zhenrong , Ouyang Zidan , Xiang Yuxuan , Ding Ru , Liao Yuan , Chen Li 
Published: January 2025

Abstract

Background
The ability to thrive at work has been demonstrated to be closely linked to the development of nurses.Effective utilization of strengths and maintaining hope are essential elements for clinical nurses’ ability to flourish in their roles. Nevertheless, the relationship between strengths use, hope, and thriving at work remains underexplored. This study aimed to identify distinct subgroups of clinical nurses based on their strengths use and to examine the mediating effect of hope between strengths use and thriving at work. The findings are intended to inform clinical managers on strategies to enhance nurses’ work performance and care quality.

Methods
A convenience sample of 568 clinical nurses from two tertiary hospitals in Guangzhou City, Guangdong Province, China, was recruited between January and March 2024. The survey collected sociodemographic data and included the Adult Dispositional Hope Scale, Strengths Use Scale, and Thriving at Work Scale. Potential categories of nurse strengths use characteristics were identified using potential profile analysis, and potential relationships between variables were determined using Pearson correlation analysis, Bayesian factor robustness analyses, and Mediation analysis.

Results
LPA identified three distinct groups based on strengths use: low (30.8%), moderate (64.9%), and high (13.2%).The significant mediating effect of hope in the relationship between strengths use based on latent profile analysis and thriving at work was observed (SE = 0.61,95%CI = -10.01, -7.62; SE = 0.76,95%CI = -18.91, -15.91, respectively).

Conclusions
There exists heterogeneity in nurses’ strengths use. Hope plays a significant role in mediating the relationship between strengths use and thriving at work. It is recommended that nursing administrators or leaders pay attention to differences in individual levels of strengths use, encourage strengths-based practices and design interventions that foster hope, thereby promoting greater thriving in their professional roles.
From physical activity patterns to cognitive status: development and validation of novel digital biomarkers for cognitive assessment in older adults
Authors: Fan Ling-Jie , Wang Feng-Yi , Zhao Jun-Han , Zhang Jun-Jie , Li Yang-An , Tang Jia , Lin Tao , Wei Quan 
Published: January 2025

Abstract

Background
This study aims to investigate the associations between signal-level physical activity (PA) features derived from wrist accelerometry data and cognitive status in older adults, and to evaluate their potential predictive value when combined with demographics.

Methods
We analyzed PA data from 3,363 older adults (NHATS: n = 747; NHANES: n = 2,616), with each participant contributing a complete 3-day continuous activity sequence. We extracted the most relevant PA features associated with cognitive function using feature engineering and recursive feature elimination. Demographic characteristics were also incorporated, and multimodal data fusion was achieved through canonical correlation analysis. We then developed explainable machine learning models, primarily random forest, optimized with hyperparameters, to predict individual cognitive function status.

Results
Using recursive feature elimination, we identified the top 20 PA features from each dataset and combined them with demographic features for modeling. The models achieved AUCs of 0.84 and 0.80 for NHATS and NHANES. Change quantiles and FFT coefficients emerged as the consistently top-ranked PA features across datasets, ranking 1st and 2nd respectively in their predictive importance for cognitive function. Models based on the top 10 PA features common to both datasets, along with demographic features, achieved AUCs above 0.8.

Conclusions
This study identifies novel time-frequency domain features of physical activity that show robust associations with cognitive status across two independent cohorts. These features, particularly those capturing activity variability and rhythmicity, provide complementary information beyond traditional cumulative PA measures. Based on these findings, we developed a proof-of-concept application that demonstrates the feasibility of translating these PA analytics into practical monitoring tools in real-world settings.
A genomic strategy for precision medicine in rare diseases: integrating customized algorithms into clinical practice
Authors: Méndez-Vidal Cristina , Bravo-Gil Nereida , Pérez-Florido Javier , Marcos-Luque Irene , Fernández Raquel M. , Fernández-Rueda José Luis , González-del Pozo María , Martín-Sánchez Marta , Fernández-Suárez Elena , Mena Marcela , Carmona Rosario , Dopazo Joaquín , Borrego Salud , Antiñolo Guillermo 
Published: January 2025

Abstract

Background
Despite the use of Next-Generation Sequencing (NGS) as the gold standard for the diagnosis of rare diseases, its clinical implementation has been challenging, limiting the cost-effectiveness of NGS and the understanding, control and safety essential for decision-making in clinical applications. Here, we describe a personalized NGS-based strategy integrating precision medicine into a public healthcare system and its implementation in the routine diagnosis process during a five-year pilot program.

Methods
Our approach involved customized probe designs, the generation of virtual panels and the development of a personalized medicine module (PMM) for variant prioritization. This strategy was applied to 6500 individuals including 6267 index patients and 233 NGS-based carrier screenings.

Results
Causative variants were identified in 2061 index patients (average 32.9%, ranging from 12 to 62% by condition). Also, 131 autosomal-recessive cases could be partially genetically diagnosed. These results led to over 5000 additional studies including carrier, prenatal and preimplantational tests or pharmacological and gene therapy treatments.

Conclusion
This strategy has shown promising improvements in the diagnostic rate, facilitating timely diagnosis and gradually expanding our services portfolio for rare diseases. The steps taken towards the integration of clinical and genomic data are opening new possibilities for conducting both retrospective and prospective healthcare studies. Overall, this study represents a major milestone in the ongoing efforts to improve our understanding and clinical management of rare diseases, a crucial area of medical research and care.