bluuebunny/crossref_metadata_2025_split huggingface dataset:
Missed Nursing Care and Relationship to Burnout and Leave the Profession
Authors: Jafari-Koulaee Azar , Heidari Tahereh , Khorram Majid , Rezaei Soraya , Nikbakht Roya , Jafari Hedayat 
Published: June 2024

Background/objective
Nurses are at high risk of burnout, desire to leave the profession, and possibly missed nursing care due to the exhausting nature of caring. Missed nursing care may also affect nurses’ burnout and desire to leave the profession. Therefore, the objective of this study was to determine the missed nursing care and its relationship with burnout and desire to leave the profession among intensive care unit nurses.

Subjects/Methods
The participants of this descriptive analytical study were 249 Iranian nurses working in intensive care units in 2022. The data were collected using a Demographic Information Questionnaire, Kalish’s Missed Nursing Care Questionnaire, Maslach Burnout Inventory, and desire to leave the profession questionnaire.

Results
The majority of nurses (71%) were females. The generalized linear regression model showed that there was a significant relationship between missed care with gender (B = 5.55, P < .001), marital status (B = −7.37, P = .04), working shift (B = 7.80, P < .001), and employment status (B = −2.87, P = .02). Using structural equation modeling, it was found that the effect of missed care on burnout was significant.

Conclusions
Considering the effect of missed care on burnout among nurses working in intensive care units, it seems that creating better working conditions, providing sufficient resources for nurses, supporting them, and changing the factors affecting missed care in order to improve the conditions can reduce the possibility of missing nursing care and, finally, burnout.
Factors That Influence Quality of Life in Postmenopausal Osteoporotic Women With Nonvertebral Fractures
Authors: Zannetti Emanuela Basilici , Cittadini Noemi , Iovino Paolo , De Maria Maddalena , D’Angelo Daniela , Pennini Annalisa , Vellone Ercole , Tarantino Umberto , Alvaro Rosaria 
Published: June 2024

The knowledge of variables associated with quality of life in women with nonvertebral fractures is poor. The aim of this study was to examine the independent associations between sociodemographic and clinical factors, self-care, and quality of life in this specific population. We undertook a 3-year multicenter longitudinal study on a cohort of Italian postmenopausal osteoporotic women with three follow-ups at 1, 3, and 6 months. Nurses asked women to complete questionnaires on quality of life and self-care. The sample (n = 532) had a mean age of 74.78 years. The results showed that women taking more than two medications per day (p = .026) and those with nine or more years of education (p = .036) were more likely to exhibit better quality of life levels (p < .001) than their counterparts. Both self-care and quality of life scores improved over time in all participants. This study shows positive independent associations between quality of life and polypharmacy, education, and self-care behaviors, which were improved by educational interventions to attain a better quality of life in our participants.
HIV and Syphilis Co-Screening Rates Among Patients Tested for Gonorrhea and Chlamydia at a Large, Urban Hospital
Authors: Almirol Ellen , Meyer Makenna , Mason Joseph A. , Hazra Aniruddha , McNulty Moira C. , Stanford Kimberly A. 
Published: June 2024

Background
Current guidelines recommend concurrent screening for HIV and syphilis with gonorrhea and chlamydia testing. Despite this, many patients are still not screened. This study describes trends in demographics and encounter locations associated with missed opportunities for HIV and syphilis screening among patients tested for gonorrhea or chlamydia.

Methods
This is a retrospective review of all encounters with gonorrhea or chlamydia testing in a large, urban hospital from November 1, 2018, to July 31, 2021. Demographic information and encounter location were extracted from the medical record. Encounters were categorized as including both HIV and syphilis (complete) screening, HIV screening only, or neither. Logistic regression was used to examine associations between demographics and encounter location and likelihood of complete screening.

Results
There were 42,791 patient encounters, of which 40.2% had complete screening, 6.2% had concurrent HIV screening only, and 53.6% had no concurrent screening. Increasing age, female sex (adjusted odds ratio [aOR], 0.58; 95% confidence interval [CI], 0.55–0.61; P < 0.01), non-Hispanic Black race (aOR, 0.52; 95% CI, 0.49–0.55; P < 0.01), and public insurance (aOR, 0.72; 95% CI, 0.69–0.75; P < 0.01) were associated with lower odds of complete screening. Emergency department (ED) encounters were most likely to include complete screening (aOR, 3.11; 95% CI, 2.96–3.26; P < 0.01).

Conclusions
This study found that a large proportion of patients tested for gonorrhea and chlamydia had missed opportunities for HIV and syphilis screening. Significant demographic disparities were found. The emergency department was most likely to screen for both HIV and syphilis. Decreasing disparities in screening could have profound effects on the HIV and syphilis epidemics.
Association between Complications and Death within 30 days after General Surgery
Authors: Park Lily J , Borges Flavia K , Ofori Sandra , Nenshi Rahima , Jacka Michael , Heels-Ansdell Diane , Bogach Jessica , Vogt Kelly , Chan Matthew TV. , Verghese Anish , Polanczyk Carisi A , Skinner David , Asencio JM , Paniagua Pilar , Rosen Michael , Serrano Pablo E , Marcaccio Michael J , Simunovic Marko , Thabane Lehana , Devereaux PJ 
Published: June 2024

Objective:
To determine the epidemiology of post-operative complications among general surgery patients, inform their relationships with 30-day mortality, and determine the attributable fraction of death of each postoperative complication.

Background:
The contemporary causes of post-operative mortality among general surgery patients are not well characterized.

Methods:
VISION is a prospective cohort study of adult non-cardiac surgery patients across 28 centres in 14 countries, who were followed for 30 days after surgery. For the subset of general surgery patients, a cox proportional hazards model was used to determine associations between various surgical complications and post-operative mortality. The analyses were adjusted for preoperative and surgical variables. Results were reported in adjusted hazard ratios (HR) with 95% confidence intervals (CI).

Results:
Among 7950 patients included in the study, 240 (3.0%) patients died within 30 days of surgery. Five post-operative complications (myocardial injury after non-cardiac surgery [MINS], major bleeding, sepsis, stroke, and acute kidney injury resulting in dialysis) were independently associated with death. Complications associated with the largest attributable fraction (AF) of post-operative mortality (i.e., percentage of deaths in the cohort that can be attributed to each complication, if causality were established) were major bleeding (n=1454, 18.3%, HR 2.49 95%CI 1.87-3.33, P<0.001, AF 21.2%), sepsis (n=783, 9.9%, HR 6.52, 95%CI 4.72-9.01, P<0.001, AF 15.6%), and MINS (n=980, 12.3%, HR 2.00, 95%CI 1.50-2.67, P<0.001, AF 14.4%).

Conclusion:
The complications most associated with 30-day mortality following general surgery are major bleeding, sepsis, and MINS. These findings may guide the development of mitigating strategies, including prophylaxis for perioperative bleeding.
Genetic variants predisposing to increased risk of kidney stone disease
Authors: Lovegrove Catherine E. , Goldsworthy Michelle , Haley Jeremy , Diane Smelser , Gorvin Caroline , Hannan Fadil M. , Mahajan Anubha , Mohnish Suri , Sadeghi-Alavijeh Omid , Moochhala Shabbir , Gale Daniel , Carey David , Holmes Michael V. , Furniss Dominic , Thakker Rajesh V. , Howles Sarah A. 
Published: June 2024

AbstractKidney stones (KS) are common, heritable, and associated with mineral metabolism abnormalities. We used Mendelian randomization and colocalization to identify variants predicted to increase KS risk via increased serum calcium or decreased serum phosphate (odds ratios for genomic regions=4.30-13.83 per 1 standard deviation alteration) that account for 11-19% of KS due to reduced calcium-sensing receptor (CaSR)-signal transduction, increased urinary phosphate excretion, and impaired 1,25-dihydroxyvitamin D inactivation via diacylglycerol kinase delta (DGKD), solute carrier family 34 member 1 (SLC34A1), and cytochrome P450 family 24 subfamily A member 1 (CYP24A1), respectively. In silico analyses revealed that targetingCASR,DGKD, orCYP24A1to decrease serum calcium, orSLC34A1to increase serum phosphate may reduce KS risk, and in vitro studies demonstrated that positive CaSR-allosteric modulation ameliorates CaSR-signal transduction impaired by reduced DGKδ expression or KS-associatedDGKDmissense variants. These studies suggest that genotyping individuals with KS may facilitate personalized risk stratification and pharmacomodulation.
MULT: An allometric body mass index (ABMI) reference to assess nutritional status of multi-ethnic children and adolescents
Authors: de Oliveira Mariane Helen , Mazzeti Camila Medeiros da Silva , Araújo Joana , Severo Milton , Ramos Elisabete , Rodrigues Kévin Allan Sales , Pereira Débora Borges dos Santos , Conde Wolney Lisboa 
Published: June 2024

ABSTRACTObjectivesTo develop an allometric body mass index (ABMI) reference that adjusts the weight in relation to height, taking into account the changes during development (MULT ABMI reference), and to compare it with international BMI references.MethodsThe MULT ABMI reference was constructed through the LMS method, calculated with 65 644 ABMI observations of 17 447 subjects aged 5-22 years, from the United Kingdom, Ethiopia, India, Peru, Vietnam, Portugal, and Brazil. The M, S, and L curves of the MULT ABMI reference were compared with the curves of the MULT, World Health Organization (WHO), Centers for Disease Control and Prevention (CDC), International Obesity Task Force (IOTF), and Dutch Growth Study (DUTCH).ResultsThe greater differences in the M curve between MULT ABMI and WHO, CDC, IOTF, DUTCH, and MULT BMI references were around puberty (138 to 150 months for boys; 114 to 132 for girls). MULT ABMI presented S values similar to IOTF and DUTCH BMI references for boys 60 to 114 months and then became higher, approaching the MULT BMI S values from 198 to 240 months. For girls the MULT ABMI S values were close to the IOTF, CDC, and DUTCH from 60 to 110 months, and then became higher, approaching the MULT BMI S values until 240 months.ConclusionMULT ABMI presented an advantage in comparison to the existing BMI references because it takes into account the growth changes during puberty and is a new option to assess the nutritional status of multi-ethnic populations.
Analysis of Mutations in Precision Oncology using The Automated, Accurate, and User-Friendly Web Tool PredictONCO
Authors: Khan Rayyan Tariq , Pokorna Petra , Stourac Jan , Borko Simeon , Dobias Adam , Planas-Iglesias Joan , Mazurenko Stanislav , Arefiev Ihor , Pinto Gaspar , Szotkowska Veronika , Sterba Jaroslav , Damborsky Jiri , Slaby Ondrej , Bednar David 
Published: June 2024

AbstractNext-generation sequencing technology has created many new opportunities for clinical diagnostics, but it faces the challenge of functional annotation of identified mutations. Various algorithms have been developed to predict the impact of missense variants that influence oncogenic drivers. However, computational pipelines that handle biological data must integrate multiple software tools, which can add complexity and hinder non-specialist users from accessing the pipeline. Here, we have developed an online user-friendly web server tool PredictONCO that is fully automated and has a low barrier to access. The tool models the structure of the mutant protein in the first step. Next, it calculates the protein stability change, pocket level information, evolutionary conservation, and changes in ionisation of catalytic amino acid residues, and uses them as the features in the machine-learning predictor. The XGBoost-based predictor was validated on an independent subset of held-out data, demonstrating areas under the receiver operating characteristic curve (ROC) of 0.95 and 0.94, and the average precision from the precision-recall curve 0.98 and 0.94 for structure-based and sequence-based predictions, respectively. Finally, PredictONCO calculates the docking results of small molecules approved by regulatory authorities. We demonstrate the applicability of the tool by presenting its usage for variants in two cancer-associated proteins, cellular tumour antigen p53 and fibroblast growth factor receptor FGFR1. Our free web tool will assist with the interpretation of data from next-generation sequencing and navigate treatment strategies in clinical oncology:https://loschmidt.chemi.muni.cz/predictonco/.
Lysosomal signalling pathways influence heart rhythm, and regulate atrial function
Authors: Capel Rebecca A. , Akerman Emily , Rog-Zielinska Eva A. , Winbo Annika , Aston Daniel , Mu-u-min Razik Bin Abdul , Read Matthew J. , Bose Samuel J. , Swietach Pawel , Wang Jingyu , Corbett Alexander D. , Koschinski Andreas , Falter Florian , Calamaio Serena , Melgari Dario , Prevostini Rachele , Rivolta Ilaria , Ayagama Thamali , Jenkin Ifan , Simon Jillian N. , Fakuade Funsho E. , Pronto Julius R. , Sharma Parveen , Song Qianqian , Booth Martin J , Platt Frances M. , Lei Ming , Hester Svenja , Fischer Roman , Voigt Niels , Schotten Ulrich , Verheule Sander , Galione Antony , Keller Marco , Bracher Franz , Zaccolo Manuela , Terrar Derek A. , Burton Rebecca A. B. 
Published: June 2024

AbstractIn the heart, endogenous nicotinic acid adenine dinucleotide phosphate (NAADP) triggers lysosomal calcium (Ca2+) release to augment sarcoplasmic reticulum [1] Ca2+sequestration, producing larger Ca2+transients. However, the role of lysosomal Ca2+signals in pacemaker activity, a distinct Ca2+-operated function of the sinoatrial node (SAN), or in the atrial myocardium has not been investigated. Pharmacological or genetic ablation of the NAADP pathway inhibits the spontaneous beating rate response to β-adrenergic stimulation in intact SAN. We found intracellular signalling microdomains between lysosomes and neighboring SR or mitochondria in mouse, rabbit, goat, and human atrial tissue. The spatial relationship between lysosomes and other Ca2+-handling organelles are altered in goat and human atrial fibrillation. Furthermore, we demonstrate atrial myocytes produce 3′–5′-cyclic adenosine monophosphate in response to lysosomal signalling, adding a novel trigger for cyclic nucleotide signalling. Our findings support the hypothesis that lysosomal Ca2+signalling directly increases cardiomyocyte cAMP and modulates pacemaker activity.
Modeling differences in neurodevelopmental maturity of the reading network using support vector regression on functional connectivity data
Authors: Lasnick Oliver H.M. , Luo Jie , Kinnie Brianna , Kamal Shaan , Low Spencer , Marrouch Natasza , Hoeft Fumiko 
Published: June 2024

AbstractThe construction of brain growth charts trained to predict age based on morphometric and/or functional properties of the brain (‘brain-age prediction’) has the potential to inform neuroscientists and clinicians alike about children’s neurodevelopmental trajectories. When applied to both typically- and atypically-developing populations – such as those with specific learning disorders – results may be informative as to whether a particular condition is associated with atypical maturation of specific brain networks. Here, we focus on the relationship between reading disorder (RD) and maturation of functional connectivity (FC) patterns in the prototypical reading/language network across development using a cross-sectional sample of N = 742 participants aged 6-21 years. A support vector regression model is trained to predict chronological age from FC data derived from (1) a whole-brain model, as well as (2) multiple ‘reduced’ models, which are trained on FC data generated from a successively smaller number of regions in the brain’s reading network. We hypothesized that the trained models would show systematic underestimation of brain network maturity (i.e., lower FC-based age predictions) for poor readers, particularly for the models trained with reading/language regions. Exploratory results demonstrated that the most important whole-brain ROIs and connections are derived from the dorsal attention and somatosensory motor networks. Comparisons of the different models’ predictions reveal that while the whole-brain model outperforms the others in terms of overall prediction accuracy, all models are effective at predicting brain maturity, including the one trained with the smallest amount of FC data. In addition, all models demonstrate some degree of moderation in the reliability of their age predictions as a function of reading ability, with predictions for both poor and exceptional readers being more accurate relative to those for typical readers.Key PointsA machine learning model trained to predict age from functional connectivity data has better predictive utility for children/adolescents with either low OR high reading ability, and performs less well for those with average reading abilityBoth impaired and exceptional reading may be characterized as having lower variance in connectivity patterns on the population level compared to typical readers (rather than having delayed/accelerated network maturation)Neural markers of reading and language are likely diffusely represented in the brain
Dynamics of pitch perception in the auditory cortex
Authors: Abrams Ellie Bean , Marantz Alec , Krementsov Isaac , Gwilliams Laura 
Published: June 2024

AbstractThe ability to perceive pitch allows human listeners to experience music, recognize the identity and emotion conveyed by conversational partners, and make sense of their auditory environment. A pitch percept is formed by weighting different acoustic cues (e.g., signal fundamental frequency and inter-harmonic spacing) and contextual cues (expectation). How and when such cues are neurally encoded and integrated remains debated. In this study, twenty-eight participants (16 female) listened to tone sequences with different acoustic cues (pure tones, complex missing fundamental tones, and tones with an ambiguous mixture), placed in predictable and less predictable sequences, while magnetoencephalography was recorded. Decoding analyses revealed that pitch was encoded in neural responses to all three tone types, in the low-to-mid auditory cortex and sensorimotor cortex bilaterally, with right-hemisphere dominance. The pattern of activity generalized across cue-types, offset in time: pitch was neurally encoded earlier for harmonic tones (∼85ms) than pure tones (∼95ms). For ambiguous tones, pitch emerged significantly earlier in predictable contexts than unpredictable. The results suggest that a unified neural representation of pitch emerges by integrating independent pitch cues, and that context alters the dynamics of pitch generation when acoustic cues are ambiguous.Significance StatementPitch enables humans to enjoy music, understand the emotional intent of a conversational partner, distinguish lexical items in tonal languages, and make sense of the acoustic environment. The study of pitch has lasted over a century, with conflicting accounts of how and when the brain integrates spectrotemporal information to map different sound sources onto a single and stable pitch percept. Our results answer crucial questions about the emergence of perceptual pitch in the brain: namely, that place and temporal cues to pitch seem to be accounted for by early auditory cortex, that a common representation of perceptual pitch emerges early in the right hemisphere, and that the temporal dynamics of pitch representations are modulated by expectation.
Pathological axonal enlargement in connection with amyloidosis, lysosome destabilization and hemorrhage is a major defect in Alzheimer’s disease
Authors: Fu Hualin , Li Jilong , Zhang Chunlei , Gao Guo , Ge Qiqi , Guan Xinping , Cui Daxiang 
Published: June 2024

AbstractAlzheimer’s disease (AD) is a multi-amyloidosis disease with Aβ deposits in the cerebral blood vessels, microaneurysms and senile plaques. How Aβ amyloidosis affects axon pathology is not well-examined. We studied Aβ-related axonal phenotypes with histochemistry, immunohistochemistry and fluorescence imaging methods. Widespread axonal amyloidosis with distinctive axonal enlargement was observed in AD. Aβ-positive axon diameters in AD brains were 1.72 times of control brain axons by average. Axonal amyloidosis also associated with MAP2 reduction, Tau phosphorylation, lysosome destabilization and hemorrhagic markers such as ApoE, HBA, HbA1C and Hemin. Lysosome destabilization in AD was also clearly identified in the neural soma, associating with the co-expression of Aβ and Cathepsin D, HBA, ACTA2 and ColIV, implicating exogeneous hemorrhagic protein intake might influence neural lysosome stability. The data showed that Aβ-containing lysosomes were 2.23 times as large as the control lysosomes. Furthermore, under rare conditions, axon breakages were observed, which likely resulted in Wallerian degeneration. In summary, axonal enlargement associated with amyloidosis, chronic microhemorrhage and lysosome destabilization is a major defect in Alzheimer’s disease.
A comprehensive multi-omics study reveals potential prognostic and diagnostic biomarkers for colorectal cancer
Authors: Mahajan Mohita , Dhabalia Subodh , Dash Tirtharaj , Sarkar Angshuman , Mondal Sukanta 
Published: June 2024

ABSTRACTBackgroundColorectal cancer (CRC) is a complex disease with diverse genetic alterations and causes 10% of cancer-related deaths worldwide. Understanding its molecular mechanisms is essential for identifying potential biomarkers and therapeutic targets for its effective management.MethodWe integrated copy number alterations (CNA) and mutation data via their differentially expressed genes termed as candidate genes (CGs) computed using bioinformatics approaches. Then, using the CGs, we perform Weighted correlation network analysis (WGCNA) and utilise several hazard models such as Univariate Cox, Least Absolute Shrinkage and Selection Operator (LASSO) Cox and multivariate Cox to identify the key genes involved in CRC progression. We used different machine-learning models to demonstrate the discriminative power of selected hub genes among normal and CRC (early and late-stage) samples.ResultsThe integration of CNA with mRNA expression identified over 3000 CGs, including CRC-specific driver genes likeMYCandAPC. In addition, pathway analysis revealed that the CGs are mainly enriched in endocytosis, cell cycle, wnt signalling and mTOR signalling pathways. Hazard models identified four key genes,CASP2, HCN4, LRRC69andSRD5A1, that were significantly associated with CRC progression and predicted the 1-year, 3-years, and 5-years survival times. WGCNA identified seven hub genes:DSCC1, ETV4, KIAA1549, NOP56, RRS1, TEAD4andANKRD13B, which exhibited strong predictive performance in distinguishing normal from CRC (early and late-stage) samples.ConclusionsIntegrating regulatory information with gene expression improved early versus latestage prediction. The identified potential prognostic and diagnostic biomarkers in this study may guide us in developing effective therapeutic strategies for CRC management.