bluuebunny/crossref_metadata_2025_split huggingface dataset:
A 37-year follow-up after Skoog lip repair of unilateral cleft lip and palate: what is the long-term verdict on lip appearance by different panels?
Authors: Peroz Roshan , Falk-Delgado Alberto , Arwidson Stina , Hakelius Malin , Mani Maria 
Published: September 2024

Abstract

Background
The study examined long-term lip appearance after Skoog’s lip repair in unilateral cleft, lip, and palate (UCLP) patients. To include different views, three different panels respectively, rated level of lip appearance and desire for improvement. The secondary aim was to investigate the correlation between the self-reported satisfaction of UCLP patients and controls with the panel assessments.

Methods
Cropped frontal photographs of the lips of 74 UCLP-treated individuals and 61 non-cleft individuals were assessed twice by three panels of five cleft surgeons (Professional panel), nine laymen (Layman panel), and five individuals with CLP (Cleft panel) using a web-based platform, at a mean follow-up of 37 years post-lip surgery.

Results
All three panels rated the lip appearance of UCLP patients worse than that of the controls (p < 0.001). The Professional panel reported higher satisfaction levels and less desire to change lip appearance than the Layman and Cleft panels. Intra-rater agreements were, in general, moderate in the Professional panel ICC (0.57–0.82) and Laymen panel ICC (0.63–0.73) and poor in the Cleft panel ICC (0.21–0.36). The inter-rater agreement was, in general, poor in all panels. No significant correlation was found between the patient’s Self-assessments and any of the panel assessments.

Conclusions
All panels’ rated lip appearance of adults born with UCLP treated with Skoog’s technique as worse than that of non-cleft controls. The study highlights a significant discrepancy between the Professional panel’s more favorable assessment and the more critical views of the laymen and cleft panels, contradicting the initial hypothesis of uniform perception across panels. The lack of correlation between patient self-assessment and panel assessments underscores the subjective nature of lip satisfaction, emphasizing the need for personalized patient care strategies in CLP treatment outcomes.

Level of evidence
Not gradable.
Gardnerella vaginalis, Fannyhessea vaginae, and Prevotella bivia Strongly Influence Each Other's Transcriptome in Triple-Species Biofilms
Authors: Sousa Lúcia G. V. , Novak Juliano , França Angela , Muzny Christina A. , Cerca Nuno 
Published: September 2024

AbstractBacterial vaginosis (BV), the most common vaginal infection worldwide, is characterized by the development of a polymicrobial biofilm on the vaginal epithelium. While Gardnerella spp. have been shown to have a prominent role in BV, little is known regarding how other species can influence BV development. Thus, we aimed to study the transcriptome of Gardnerella vaginalis, Fannyhessea vaginae, and Prevotella bivia, when growing in triple-species biofilms. Single and triple-species biofilms were formed in vitro, and RNA was extracted and sent for sequencing. cDNA libraries were prepared and sequenced. Quantitative PCR analysis (qPCR) was performed on the triple-species biofilms to evaluate the biofilm composition. The qPCR results revealed that the triple-species biofilms were mainly composed by G. vaginalis and P. bivia was the species with the lowest percentage. The RNA-sequencing analysis revealed a total of 432, 126, and 39 differentially expressed genes for G. vaginalis, F. vaginae, and P. bivia, respectively, when growing together. Gene ontology enrichment of G. vaginalis downregulated genes revealed several functions associated with metabolism, indicating a low metabolic activity of G. vaginalis when growing in polymicrobial biofilms. This work highlighted that the presence of 3 different BV-associated bacteria in the biofilm influenced each other’s transcriptome and provided insight into the molecular mechanisms that enhanced the virulence potential of polymicrobial consortia. These findings will contribute to understand the development of incident BV and the interactions occurring within the biofilm.
Quantitative aortic Na[18F]F positron emission tomography computed tomography as a tool to associate vascular calcification with major adverse cardiovascular events
Authors: Lieverse T. G. F. , van Praagh G. D. , Mulder D. J. , Lambers Heerspink H. J. , Wolterink J. M. , Slart R. H. J. A. 
Published: September 2024

Abstract

Purpose
Sodium[18F]fluoride (Na[18F]F) used in positron emission tomography (PET) binds to active calcification and correlates consistently with higher cardiovascular risk. This study aims to investigate the feasibility of aortic Na[18F]F-PET in hybrid combination with low-dose computed tomography (CT) as a risk model for major adverse cardiovascular events (MACE).

Methods
Patient data and Na[18F]F-PET/CT scans from January 2019 to February 2022 were retrospectively collected at the University Medical Center Groningen (UMCG), the Netherlands. MACE-outcome was a composite of time to first documented myocardial infarction, cerebral vascular accident (CVA), acute heart failure hospitalization, and aortic aneurysms. MACE dates were recorded from the day of the scan until follow-up in December 2023. The aorta was manually segmented in all low-dose CT scans. To minimize spill-over effects from the vertebrae, the vertebrae were automatically segmented using an open-source model, dilated with 10 mm, and subtracted from the aortic mask. The total aortic Na[18F]F corrected maximum standardized uptake value (cSUVmax) and total aortic Agatston score were automatically calculated using SEQUOIA. Kaplan–Meier and Cox regression survival analysis were performed, stratifying patients into high, medium, and low cSUVmax and Agatston categories. Cox regression models were adjusted for age.

Results
Out of 280 identified scans, 216 scans of unique patients were included. During a median follow-up of 3.9 years, 12 MACE occurred. Kaplan–Meier survival analysis demonstrated a significant difference in MACE-free survival among the high cSUVmax group compared to the medium and low groups (p = 0.03 and p < 0.01, respectively). Similarly, patients with high Agatston scores had a significantly lower MACE-free survival probability compared to those with medium and low scores (both p < 0.01).

Conclusion
This study highlights the potential clinical utility of Na[18F]F-PET/CT as an imaging tool to predict the risk of MACE. Clinical validation of this novel proof-of-concept method is needed to confirm these results and expand the clinical context.
Sheet conductance of laser-doped layers using a Gaussian laser beam: an effective depth approximation
Authors: Hassan Mohamed , Werner Juergen H. 
Published: September 2024

AbstractLaser doping of silicon with pulsed and scanned laser beams is now well-established to obtain defect-free, doping profile tailored, and locally selectively doped regions with a high spatial resolution. Picking the correct laser parameters (pulse power, pulse shape, and scanning speed) impacts the depth and uniformity of the melted region geometry. This work performs laser doping on the surface of single crystalline silicon, using a pulsed and scanned laser profile with a Gaussian intensity distribution. A deposited boron oxide precursor layer serves as a doping source. Increasing the local inter-pulse distance $$x_\text {irr}$$

x
irr

between subsequent pulses causes a quadratic decrease of the sheet conductance $$G_\text {sh}$$

G
sh

of the doped surface layer. Here, we present a simple geometric model that explains all experimental findings. The quadratic dependence stems from the approximately parabolic shape of the individual melted regions directly after the laser beam has hit the Si surface. The sheet resistance depends critically on the intersection depth $$d_\text {ch}$$

d
ch

and the distance $$x_\text {irr}$$

x
irr

of overlap between two subsequent, neighboring pulses. The intersection depth $$d_\text {ch}$$

d
ch

quadratically depends on the pulse distance $$x_\text {irr}$$

x
irr

and therefore also on the scanning speed $$v_\text {scan}$$

v
scan

of the laser. Finally, we present a simple model that reduces the complicated three dimensional, laterally inhomogeneous doping profile to an effective two-dimensional, homogeneously doped layer which varies its thickness with the scanning speed.
A second-generation URANS model (STRUCT-$$\epsilon $$) applied to a generic side mirror and its impact on sound generation
Authors: Munoz-Paniagua J. , García J. , Latorre-Iglesias E. 
Published: September 2024

AbstractA generic side mirror can be approximated to the combination of a half cylinder topped with a quarter of sphere. The flow structure in the wake of the side mirror is highly transient and the turbulence plays an important role affecting aeroacoustics through pressure fluctuation. Thus, this geometry is one of the test cases object of several numerical studies in recent years to assess the aerodynamic and aeroacoustic capabilities of the turbulence models. In this context, this study presents how the second-generation URANS closure STRUCT-$$\epsilon $$ϵis able to properly predict the expected stagnation, flow separation and vortex shedding phenomena. Besides, the predictive accuracy for the noise generation mechanism is evaluated by comparing the spectra of the sound pressure level measured at several static pressure sensors with the numerical results obtained with the STRUCT-$$\epsilon $$ϵ. The response of this turbulence model has exceeded that from other hybrid methods and is in good agreement with the results from Large-Eddy Simulations or the experiments. To conclude the paper, the applicability of STRUCT-$$\epsilon $$ϵto construct a Spectral Proper Orthogonal Decomposition method that helps identifying the most energetic modes to appropriately capture the dominant flow structures is also introduced.
Impact of empagliflozin on cardiac structure and function assessed by echocardiography after myocardial infarction: a post-hoc sub-analysis of the emmy trial
Authors: Schwegel Nora , Strohhofer Christoph , Kolesnik Ewald , Oltean Sabrina , Hüttmair Alexander , Pipp Christian , Benedikt Martin , Verheyen Nicolas , Gollmer Johannes , Ablasser Klemens , Wallner Markus , Santner Viktoria , Tripolt Norbert , Pferschy Peter , Zechner Peter , Alber Hannes , Siller-Matula Jolanta M. , Kopp Kristen , Zirlik Andreas , Aziz Faisal , Sourij Harald , von Lewinski Dirk 
Published: September 2024

Abstract
Background
Empagliflozin administered after acute myocardial infarction proofed to improve cardiometabolic parameters and biomarkers, but the impact on cardiac function is still largely unknown. The aim of this post-hoc echocardiographic sub-analysis of the EMMY trial was to provide in-depth echocardiographic analysis on the effects of empagliflozin versus placebo on standard and novel echocardiographic structural and functional parameters after acute myocardial infarction.

Methods
In this post-hoc analysis of the EMMY trial a subset of 313 patients (157 empagliflozin vs. 156 placebo) was enrolled for post-processing analysis of echocardiographic structural and functional parameters. On top of two-dimensional and Doppler parameters, myocardial deformation analyses were performed to assess ventricular and atrial strain values.

Results
Left ventricular volumes showed significant differences in favor of empagliflozin over the course of the trial (change in left ventricular end-diastolic volume median [interquartile range] 8 [−3;19]% versus 13 [0;29]%, p = 0.048; left ventricular end-systolic volume −3 [−15;12]% versus 4 [−12;18]%, p = 0.044). This effect persisted after adjusting for baseline values, age, and sex. Left ventricular systolic and diastolic function overall improved over the course of the trial and parameters for diastolic function showed a distinct trend between groups but did not meet statistical significance in this cohort.

Conclusion
In this post-hoc analysis among patients with acute myocardial infarction, treatment with empagliflozin resulted in a significant beneficial effect on left ventricular end-diastolic and end-systolic volume, without significantly improving left ventricular or right ventricular functional parameters compared to placebo after 26 weeks.

ClinicalTrials.gov registration
NCT03087773.

Graphical abstract
BMP10 reflects pre-capillary pulmonary hemodynamics: association of biomarkers and hemodynamic parameters in pulmonary hypertension
Authors: Hennings Elisa , Aeschbacher Stefanie , Coslovsky Michael , Paladini Rebecca E. , Voellmin Gian , Lampart Maurin , Ziegler André , Müller Christian , Conen David , Zuern Christine S. , Kühne Michael , Osswald Stefan , Pfister Otmar 
Published: September 2024

Abstract

Background and aims
The role of biomarkers in diagnosing pulmonary hypertension (PH) and distinguishing between pre- and post-capillary PH remains poorly understood. We aimed to identify biomarkers with a strong association with mean pulmonary arterial pressure, mPAP (PH diagnosis) and pulmonary vascular resistance, PVR (pre-capillary component), but not with pulmonary arterial wedge pressure, PAWP (post-capillary component).

Methods
Blood samples were collected in patients undergoing right heart catheterization within a prospective cross-sectional study. Biomarkers measured included BMP10, NT-proBNP, ANG2, ESM1/endocan, FGF23, GDF15, IGFBP7, IL6, MyBPC3, proC3, and proC6/endotrophin. Primary outcomes were mPAP, PVR, and PAWP, while secondary outcomes included PH diagnosis (mPAP > 20 mmHg) and elevated PVR (> 2 Wood units). Multivariable linear and logistic regression models were used to assess the relationship between biomarkers and outcomes.

Results
Of the 127 patients included (age 66 ± 13 years, 54% female), 73% were diagnosed with PH. BMP10, NT-proBNP, ANG2, MyBPC3, and FGF23 showed a strong association with mPAP (p < 0.001). BMP10 and NT-proBNP were strongly associated with PVR (p < 0.001), while NT-proBNP and ANG2 were strongly associated with PAWP (p < 0.001). NT-proBNP had the strongest association with the diagnosis of PH (area under the curve = 0.76). BMP10 was the only biomarker associated with elevated PVR (OR 1.60, 95%CI 1.01–2.54, p = 0.04) but not with PAWP (p = 0.86).

Conclusions
Several biomarkers were strongly associated with mPAP, PAWP, and PVR. BMP10 was the only biomarker strongly associated with mPAP and PVR, but not with PAWP, thus reflecting the pre-capillary PH component. Measurement of BMP10 along with NT-proBNP may aid in diagnosing PH.

Graphical abstract
Genetic predisposition of suicidal behavior: variants in GRIN2B, GABRG2, and ODC1 genes in attempted and completed suicide in two Balkan populations
Authors: Karanović Jelena , Beraković Doroteja , Katrašnik Mojca , Šalamon Arčan Iris , Pantović-Stefanović Maja , Radenković Lana , Garai Nemanja , Ivković Maja , Savić-Pavićević Dušanka , Zupanc Tomaž , Videtič Paska Alja 
Published: September 2024

AbstractCompleted suicide accounts for over 700,000 deaths worldwide annually, while attempted suicide is 20 times more frequent. Genetic background is an important factor contributing to suicidal behavior, including candidate genes in glutamate, γ-aminobutyric acid (GABA), and polyamine systems. Our aim was to differentiate genetic predispositions underlying different types of suicidal behavior, attempted and completed suicide, in two Balkan populations. Analysis of variants in the genes GRIN2B (rs2268115 and rs220557), GABRG2 (rs424740), and ODC1 (rs1049500 and rs2302614) was performed on a study sample including 173 suicide attempters with comorbid psychiatric disorders, 216 non-suicidal psychiatric patients and 172 healthy controls from Serbia, and 333 suicide completers and 356 non-suicidal autopsy controls from Slovenia. CA genotype of rs220557 in GRIN2B gene increased the risk for completed suicide (P = 0.021), and violent suicide (P = 0.037), compared to controls. In ODC1 gene, CA genotype of rs2302614 decreased the risk for completed suicide compared to suicide attempt (P = 0.012). Marginally, AC haplotype for variants rs1049500-rs2302614 in ODC1 gene decreased the risk for completed suicide compared to suicide attempt (P = 0.052). Specific genetic variants of glutamate and polyamine systems are differently distributed among diverse suicidal phenotypes, providing further information on the implication of these systems in suicidality.
Digital health and wearable devices for retinal disease monitoring
Authors: Daich Varela Malena , Sanders Villa Alejandro , Pontikos Nikolas , Crossland Michael D. , Michaelides Michel 
Published: September 2024

AbstractDigital health is wielding a growing influence across all areas of healthcare, encompassing various facets such as telemedicine, artificial intelligence (AI), and electronic healthcare records. In Ophthalmology, digital health innovations can be broadly divided into four categories: (i) self-monitoring home devices and apps, (ii) virtual and augmented reality visual aids, (iii) AI software, and (iv) wearables. Wearable devices can work in the background, collecting large amounts of objective data while we do our day-to-day activities, which may be ecologically more valid and meaningful to patients than that acquired in traditional hospital settings. They can be a watch, wristband, piece of clothing, glasses, cane, smartphone in our pocket, earphones, or any other device with a sensor that we carry with us. Focusing on retinal diseases, a key challenge in developing novel therapeutics has been to prove a meaningful benefit in patients’ lives and the creation of objective patient-centred endpoints in clinical trials. In this review, we will discuss wearable devices collecting different aspects of visual behaviour, visual field, central vision, and functional vision, as well as their potential implementation as outcome measures in research/clinical trial settings. The healthcare landscape is facing a paradigm shift. Clinicians have a key role of collaborating with the development and fine-tuning of digital health innovations, as well as identifying opportunities where they can be leveraged to enhance our understanding of retinal diseases and improve patient outcomes.
Different growth patterns in two siblings with Schimke immuno-osseous-dysplasia
Authors: Bokenkamp Arend , Bouts Antonia , van der Weerd Neeltje , Levtchenko Elena , Haffner Dieter , Zivicnjak Miroslav 
Published: September 2024

Abstract
Schimke immuno-osseous-dysplasia (SIOD) is an autosomal recessive systemic disease due to pathogenic variants in SMARCAL1. Manifestations include nephrotic syndrome (NS), kidney failure, T-cell dysfunction, vaso-occlusive disease, and disproportionate short stature, a general feature of this disease. Here, we present a markedly different growth pattern in two brothers with SIOD sharing the same homozygous R561C missense variant. The index patient presented at the age of 11 years with NS and severely disproportionate short stature, followed by kidney failure at the age of 16, and severely reduced adult height (z-score − 8.0). In contrast, the younger brother showed normal growth until the age of 8 years. Mild proteinuria was noted at the age of 4.5, followed by NS at 9.5 years, kidney failure at 11 years, progressive disproportionate stature, and reduced adult height (z-score − 4.5). Both brothers had comparable disproportion in adulthood (sitting height index z-score − 0.88 and − 1.44, respectively).
Exercise interventions for self-perceived body image, self-esteem and self-efficacy in women diagnosed with breast cancer: a systematic review with meta-analysis and meta-regressions
Authors: Casuso-Holgado María Jesús , Martinez-Calderon Javier , Martínez-Miranda Patricia , Muñoz-Fernández María Jesús , Bernal-Utrera Carlos , García-Muñoz Cristina 
Published: September 2024

Abstract
Purpose
To synthesise the effectiveness of exercise interventions on self-perceived body image, self-esteem and self-efficacy in women diagnosed with breast cancer who are undergoing or have completed primary adjuvant treatments.

Methods
A systematic review was conducted with meta-analysis and meta-regressions. Five electronic databases were searched from inception to June 2023, and hand searches were performed to explore the reference lists of similar systematic reviews. The established selection criteria were randomised clinical trials that evaluated any type of physical exercise intervention with self-perceived body image, self-esteem and self-efficacy as outcomes. No restrictions were imposed with respect to the control group. Main characteristics were extracted for each study. Meta-analyses, meta-regressions and sensitivity analyses were performed. The certainty of evidence for each outcome was graded using the GRADE approach. The risk of bias was evaluated using the RoB2 Cochrane tool.

Results
Twenty studies, comprising 19 different samples (n = 2030), were included. In general, meta-analysis indicated that physical exercise interventions were not superior to controls for improving self-esteem and body image in women diagnosed with breast cancer. However, subgroup meta-analysis showed a significant difference in self-esteem improvement for resistance exercise (SMD = 0.31; 95% CI = 0.07, 0.55; p = 0.01; I2 = 0%) and supervised exercise (SMD = 0.25; 95% CI = 0.08, 0.42; p = 0.0004; I2 = 0%) compared with controls. Self-efficacy results were scarce and controversial. In addition, serious concerns were mainly detected in terms of the risk of bias and indirectness of the evidence, which caused the certainty of evidence to be very low for all outcomes.

Conclusion
Supervised exercise and resistance training appear to be effective exercise modalities for improving self-esteem in women diagnosed with breast cancer. In contrast, exercise interventions are not significantly associated with improvements in body image, while results on self-efficacy are controversial. However, due to the study’s limitations, further research is needed.
Effective affective EEG-based indicators in emotion-evoking VR environments: an evidence from machine learning
Authors: Castiblanco Jimenez Ivonne Angelica , Olivetti Elena Carlotta , Vezzetti Enrico , Moos Sandro , Celeghin Alessia , Marcolin Federica 
Published: September 2024

AbstractThis study investigates the use of electroencephalography (EEG) to characterize emotions and provides insights into the consistency between self-reported and machine learning outcomes. Thirty participants engaged in five virtual reality environments designed to elicit specific emotions, while their brain activity was recorded. The participants self-assessed their ground truth emotional state in terms of Arousal and Valence through a Self-Assessment Manikin. Gradient Boosted Decision Tree was adopted as a classification algorithm to test the EEG feasibility in the characterization of emotional states. Distinctive patterns of neural activation corresponding to different levels of Valence and Arousal emerged, and a noteworthy correspondence between the outcomes of the self-assessments and the classifier suggested that EEG-based affective indicators can be successfully applied in emotional characterization, shedding light on the possibility of using them as ground truth measurements. These findings provide compelling evidence for the validity of EEG as a tool for emotion characterization and its contribution to a better understanding of emotional activation.