bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluating Patient Identification Practices During Intrahospital Transfers: A Human Factors Approach
Authors: Suclupe Stefanie , Kitchin Joanne , Sivalingam Rajhkumar , McCulloch Peter 
Published: September 2022

Introduction
Reliable patient identification is essential for safe care, and failures may cause patient harm. Identification can be interfered with by system factors, including working conditions, technology, organizational barriers, and inadequate communications protocols. The study aims to explore systems factors contributing to patient identification errors during intrahospital transfers.

Methods
We conducted a qualitative study through direct observation and interviews with porters during intrahospital patient transfers. Data were analyzed using the Systems Engineering Initiative for Patient Safety human factors model. The patient transfer process was mapped and compared with the institutional Positive Patient Identification policy. Potential system failures were identified using a Failure Modes and Effects Analysis.

Results
A total of 60 patient transfer handovers were observed. In none of the evaluable cases observed, patient identification was conducted correctly according to the hospital policy at every step of the process. The principal system factor responsible was organizational failure, followed by technology and team culture issues. The Failure Modes and Effects Analysis methodology revealed that miscommunication between staff and lack of key patient information put patient safety at risk.

Conclusions
Patient identification during intrahospital patient transfer is a high-risk event because several factors and many people interact. In this study, the disconnect between the policy and the reality of the workplace left staff and patients vulnerable to the consequences of misidentification. Where a policy is known to be substantially different from work as done, urgent revision is required to eliminate the serious risks associated with the unguided evolution of working practice.
Self-reported Antiretroviral Adherence: Association With Maternal Viral Load Suppression in Postpartum Women Living With HIV-1 From Promoting Maternal and Infant Survival Everywhere, a Randomized Controlled Trial in Sub-Saharan Africa and India
Authors: Nevrekar Neetal , Butler Kevin , Shapiro David E. , Atuhaire Patience , Taha Taha E. , Makanani Bonus , Chinula Lameck , Owor Maxensia , Moodley Dhayendre , Chipato Tsungai , McCarthy Katie , Flynn Patricia M. , Currier Judith , Fowler Mary Glenn , Gupta Amita , Suryavanshi Nishi 
Published: September 2022

Introduction:
Optimal adherence to antiretroviral therapy (ART) is crucial to promoting maternal–infant health.

Setting:
Fourteen sites in 7 countries within sub-Saharan Africa and India.

Methods:
The multicomponent, open-label strategy PROMISE trial enrolled breastfeeding mother–infant pairs not meeting in-country criteria for maternal ART (mART) initiation in the postpartum component within 5 days of delivery. Randomization was to mART versus infant NVP (iNVP) prophylaxis. Infants in the mART arm also received 6 weeks of iNVP. Self-reported adherence was assessed in a secondary analysis. Time-to-event analyses were performed to explore the association between adherence and maternal viral load (mVL) in the mART arm.

Results:
Two thousand four hundred thirty-one mother–infant pairs were enrolled between 2011 and 2014; the baseline maternal median CD4 was 686 (IQR 553–869), and the median mVL was 322 copies/mL (IQR 40–1422). Self-reported adherence was lower in the mART arm compared with the iNVP arm (no missed doses within 4 weeks of all study visits: 66% vs 83%; within 2 weeks: 71% vs 85%; P < 0.0001). The iNVP adherence at week 6 was high in both arms: 97% in mART arm; 95% in iNVP arm. Time-to-event analyses showed that adherence to mART was associated with time to first mVL ≥400 copies/mL (P < 0.0001). Missing 1 full day of doses over 3 days was associated with a 66% risk of mVL ≥1000 copies/mL (HR: 1.66; 95% CI: 1.37, 1.99).

Conclusions:
Postpartum women were less adherent to their own ART than mothers providing their infant's nevirapine prophylaxis. The self-reported missed mART doses were associated with high mVL. Strategies to optimize postpartum mART adherence are urgently needed.

Clinical Trial Number:
ClinicalTrials.gov: NCT01061151; closed to follow-up.
Postsurgical pain management among obstetrics and gynecology patients in a teaching hospital in Tabriz, Iran: a best practices implementation project
Authors: Hajebrahimi Sakineh , Vaezi Maryam , Moslemi Tabrizi Farnaz , Asghari Khatooni Azam , Zahed Khadijeh 
Published: September 2022

Abstract

Objectives:
The purpose of this project was to improve the compliance of patients’ pain management process after surgery using evidence-based criteria at the Al-Zahra Educational Hospital in Tabriz.

Introduction:
Reducing and relieving pain are among the basic rights of patients, and the management of this component should be one of the basic goals of the patient care team. Inadequate pain control can have many unpleasant consequences for the patient and increase hospital costs. Due to the importance of pain control and a gap in this area, it was decided to implement a project to improve pain control in postoperative patients grounded in evidence-based recommendations.

Method:
This project was carried out at a Level III hospital in Iran from December 2019 to June 2020. A baseline audit, based on the JBI Practical Application of Clinical Evidence-Based System (JBI PACES) and Getting Research into Practice (GRiP) audit and feedback tool was conducted with 40 patients in the surgery ward of the hospital. After developing the GRiP table (barriers, strategy, resources and outcome), a follow-up audit was done three times. The different stages of the audit were centered in evidence-based criteria. At each stage of follow-up, 40 patients were randomly selected in the postoperative stage.

Results:
At the baseline audit, out of a total of eight criteria, only criterion 2 corresponded to the audit criteria where there was no pain assessment tool or protocol for pain or for training patients and nurses. Over the three follow-up audits, 100% improvement was achieved in half of the criteria through preparing visual analogue scale pain instruments, and development of a pain protocol and a pain self-care protocol, and a 63% improvement was observed in one of the criteria. Patients’ pain decreased from very severe to mild/moderate in the first few hours in 70% of patients after surgery.

Conclusion:
The use of this best practices implementation project led to the improvement of the postoperative pain management process of patients and the improvement of patient care quality. The use of the JBI Institute Method is recommended to address other current or defective hospital processes.
Personality traits and their role as risk modifiers in gaming disorder and internet use disorders
Authors: Müller Kai W. , Dreier Michael , Wölfling Klaus 
Published: September 2022

Purpose of review
After its initial recognition in the DSM-5, Gaming Disorder has now officially been included as a mental disorder in the ICD-11 as a behavioral addiction. In the past decades, research on this phenomenon has increased and in particular theories on its etiopathology have been suggested. In that respect, underlying factors, including neurobiological, social, and psychological factors, have been described. One commonly discussed etiological factor is supposed in specific personality traits. Knowing more about underlying personality factors of Gaming Disorder and other subtypes of internet use disorders would allow for a construction of more sophisticated etiological models, tailored prevention approaches, and would affect the specificity of treatment strategies. This overview provides information on current research on the role of the Big Five personality traits in Gaming Disorder as potential risk modifiers and maintaining factors.

Recent findings
Research has especially identified high neuroticism and low conscientiousness as correlates of Gaming Disorder. Yet, results based on prospective studies are lacking largely, although there is the first evidence that personality traits might not only act as risk modifying factors but could also be influenced by Gaming Disorder.

Summary
Suggestions for future research and the need for a more pronounced perspective taking into account the changing dynamics of personality are presented in this contribution. Addressing personality traits in treatment programs could be a promising approach in preventing patients from premature treatment termination and later relapse.
eSexualHealth: Preferences to Use Technology to Promote Sexual Health Among Men Who Have Sex with Men and Trans and Gender Diverse People
Authors: Abraham Esha , Chow Eric PF , Fairley Christopher K , Lee David , Kong Fabian YS , Mao Limin , Goller Jane L , Medland Nicholas , Bavinton Benjamin R , Sudarto Budiadi , Joksic Stefan , Wong Jessica , Phillips Tiffany R , Ong Jason J 
Published: September 2022

AbstractObjectivesGay, bisexual and other men who have sex with men (GBMSM) and trans and gender diverse (TGD) people are disproportionately affected by poorer sexual health outcomes compared to heterosexual populations. We aimed to explore the preferences of GBMSM and TGD for using eHealth for sexual health (eSexualHealth).MethodsWe distributed an anonymous online survey among the lesbian, gay, bisexual, transgender, intersex, queer and other people of diverse sexuality or gender (LGBTIQA+) community in Australia. The survey collected data on sociodemographic characteristics and sexual behaviours, their preferences for app/website functions and preferred HIV and sexually transmitted infection (STI) testing reminders. We used descriptive statistics to summarise the characteristics of the study population. Free-text responses were thematically analysed.ResultsOf 466 participants included, most identified as cisgender males (92.7%). The median age was 48 (interquartile range [IQR]: 37-56). For accessing sexual health-related information, 160 (34.6%) would use either a website or an app, 165 (32.7%) would prefer a website, 119 (25.8%) would prefer an app, and 33 (7.1%) would not use either platform. There was no significant difference between GBMSM and TGD people. Participants were most interested in information about STI clinics, HIV/STI hotspots, and sexual health education. Participants stressed the need for privacy and anonymity when using eHealth. Regarding reminders to test for HIV/STIs, receiving regular SMS was most popular (112/293, 38.2%), followed by regular emails (55/293 18.8%) and a reminder function on their phone (48/293, 16.4%).ConclusionOur study suggests a promising future for eHealth among GBMSM and TGD people. Sexual health is still a stigmatised area, and eHealth may circumvent barriers this population faces.What is already known about the topicGay, bisexual, and other men who have sex with men (GBMSM) and trans- and gender diverse people (TGD) have poorer sexual health outcomes compared to heterosexualseHealth (or digital interventions) to improve sexual health is a growing areaWhat this study addsOur survey among Australian GBMSM and TGD individuals document their preferences for using eHealth to optimize their sexual healthHow this study might affect research, practice or policyBeing aware of preferences for eHealth can inform resource allocation and future development of features wanted by target populations
Multi-modal mass spectrometry imaging reveals single-cell metabolic states in mammalian liver
Authors: Tian Hua , Rajbhandari Presha , Tarolli Jay , Decker Aubrianna M. , Neelakantan Taruna V. , Angerer Tina , Zandkarimi Fereshteh , Daniels Jacob , Remotti Helen , Frache Gilles , Winograd Nicholas , Stockwell Brent R. 
Published: September 2022

SummaryWe have developed a powerful workflow to imaging endogenous metabolism in single cells on frozen tissue, allowing us to discover new cell subtypes in human liver. Performing spatially integrated multiomics in single cells within tissues is at the leading frontier in biology but has been prevented by technological challenges. We developed a critical new technology, cryogenic water cluster ion beam secondary ion mass spectrometry imaging ((H2O)n>28K-GCIB-SIMS)) at 1 µm single-cell resolution. This allowed us to perform multi-modal mass spectrometry imaging (MSI) to detect metabolites, lipids, and proteins in single cells within functional liver zones and diverse cell types in the native tissue state. Our workflow utilizes the desorption electrospray ionization (DESI) mass spectrometry imaging (MSI) to build a reference map of metabolic heterogeneity and zonation across liver functional units. Then cryogenic (H2O)n>28K-GCIB-SIMS and C60-SIMS integrated metabolomics, lipidomic and proteomics, - characterizing the metabolic state in single cells on the same tissue section. We found for the first time that lipids and metabolites can classify liver metabolic zones and liver cell types beyond histological and protein-marker annotation. This provides a multi-modal workflow to define single-cell states in normal physiology and disease in mammalian tissue.
Identification of Rho-dependent termination sitein vivousing synthetic sRNA
Authors: Wang Xun , Paul Abishek N Monford , Jeon Heung Jin , He Jin , Lim Heon M. 
Published: September 2022

ABSTRACTRho promotes Rho-dependent termination (RDT) at the Rho-dependent terminator, producing a variable-length region at the 3′-end of mRNA without secondary structure. Determining the exact RDT sitein vivois challenging because the 3′-end of mRNA is rapidly removed by 3′- to 5′-exoribonuclease digestion after RDT. Here, we applied synthetic sRNA (sysRNA) to pinpoint RDT sitesin vivoby exploiting its complementary base-pairing ability to target mRNA. Through the combined assays of rapid amplification of cDNA 3′-ends, primer extension, and capillary electrophoresis, we could precisely locate and quantify mRNA 3′-ends. We found that complementary double-stranded RNA (dsRNA) formed between sysRNA and mRNA was efficiently cleaved by RNase III in the middle of the dsRNA region. The formation of dsRNA seems to protect the cleaved RNA 3′-ends from rapid degradation by 3′- to 5′-exonuclease, thereby stabilizing the mRNA 3′-end. We further verified that the signal intensity at the 3′-end was positively correlated with amounts of mRNA. By constructing a series of sysRNAs with target sites in close proximity, and comparing the difference in signal intensity at the 3′-end of wild-type and Rho-impaired strains, we finally identified a region of increased mRNA expression within 21 bp range, which was determined as RDT site. Our results demonstrated the ability to use sysRNA as a novel tool to precisely localize RDTsin vivoand expanded the range of sysRNA applications.IMPORTANCEWith the emergence of more new tools for inhibiting gene expression, sysRNA, which was once widely used, has gradually faded out of people′s attention due to its unstable inhibition effect and low inhibition efficiency. However, it remains an interesting topic as a regulatory tool due to its ease of design and low metabolic burden on cells. Here, for the first time, we discovered a new function to identify RDT sitesin vivousing sysRNA. This new feature is important because, since the discovery of the Rho protein in 1969, it has been difficult to specifically identify RDT sitesin vivodue to the rapid processing of RNA 3′-ends by exonucleases, and sysRNA might provide a new way to address this challenge.
ARDSFlag: An NLP/Machine Learning Algorithm to Visualize and Detect High-Probability ARDS Admissions Independent of Provider Recognition and Billing Codes
Authors: Gandomi Amir , Wu Phil , Clement Daniel R , Xing Jinyan , Aviv Rachel , Federbush Matthew , Yuan Zhiyong , Jing Yajun , Wei Guangyao , Hajizadeh Negin 
Published: September 2022

AbstractAcute respiratory distress syndrome (ARDS) is a type of respiratory failure characterized by bilateral pulmonary infiltrates that cannot be explained entirely by cardiogenic pulmonary edema. ARDS is the primary cause of mortality in COVID-19 patients and one of the leading causes of morbidity and mortality in ICUs. Despite its significance and prevalence, the detection of ARDS remains highly variable and inconsistent. In this work, we develop a tool to automate the diagnosis of ARDS based on the Berlin definition to increase the accuracy of ARDS detection using electronic health record (EHR) fields. ARDSFlag applies machine learning (ML) and natural language processing (NLP) techniques to evaluate Berlin criteria by incorporating structured and unstructured data. The output is the ARDS diagnosis, onset time, and severity. We have also developed a visualization that helps clinicians efficiently assess ARDS criteria retrospectively and in real time. The method includes separate text classifiers trained using large training sets to find evidence of bilateral infiltrates in radiology reports (accuracy of 91.9%±0.5%) and heart failure/fluid overload in radiology reports (accuracy 86.1%±0.5%) and echocardiogram notes (accuracy 98.4%±0.3%). A holdout set of 300 cases, which was blindly and independently labeled for ARDS by two groups of clinicians, shows that the algorithm generates an overall accuracy of 89.0%, with a specificity of 91.7%, recall of 80.3%, and precision of 75.0%. Compared with two other ARDS identification methods used in the literature, ARDSFlag shows higher performance in all accuracy measures (an increase of 25.5% in overall accuracy, 6.5% in specificity, 44.2% in recall, 31.7% in precision, and 38.20% inF1-score over the best of the two detection methods).
The p-rpS6-zone delineates wounding response and the healing process
Authors: Ruth Ring Nadja Anneliese , Dworak Helene , Bachmann Barbara , Schädl Barbara , Valdivieso Karla , Rozmaric Tomaz , Heimel Patrick , Schuetzenberger Kornelia , Leinfellner Gabriele , Ferguson James , Drechsler Susanne , Mildner Michael , Schosserer Markus , Slezak Paul , Meyuhas Oded , Gruber Florian , Grillari Johannes , Redl Heinz , Ogrodnik Mikolaj 
Published: September 2022

SummaryIt is unknown what the spatial boundaries of tissue response to wounding are. Here we show that in mammals the ribosomal protein S6 (rpS6) is phosphorylated in response to skin injury forming a zone of activation surrounding the region of the initial insult. This p-rpS6-zone forms within minutes after wounding and is present until healing is complete. The zone encapsulates markers of the healing process, including proliferation, senescence, and angiogenesis in wounded skin. A mouse model unable to phosphorylate rpS6 shows an initial acceleration of wound closure, but results in disrupted healing. Finally, the p-rpS6-zone accurately reports on the status of dermal vasculature and the effectiveness of healing. In summary, the zone divides an otherwise homogenous tissue into regions with distinct properties.
SPRI: Structure-Based Pathogenicity Relationship Identifier for Predicting Effects of Single Missense Variants and Discovery of Higher-Order Cancer Susceptibility Clusters of Mutations
Authors: Wang Boshen , Lei Xue , Tian Wei , Perez-Rathke Alan , Tseng Yan-Yuan , Liang Jie 
Published: September 2022

AbstractWe report the Structure-based Pathogenicity Relationship Identifier (SPRI), a novel computational tool for accurate evaluation of pathological effects of missense single mutations and prediction of higher-order spatially organized units of mutational clusters. SPRI can effectively extract properties determining pathogenicity encoded in protein structures, and can identify deleterious missense mutations of germ line origin associated with Mendelian diseases, as well as mutations of somatic origin associated with cancer drivers. It compares favorably to other methods in predicting deleterious mutations. Furthermore, SPRI can discover spatially organized pathogenic higher-order spatial clusters (patHOS) of deleterious mutations, including those of low recurrence, and can be used for discovery of candidate cancer driver genes and driver mutations. We further demonstrate that SPRI can take advantage of AlphaFold2 predicted structures and can be deployed for saturation mutation analysis of the whole human proteome.
Competing females strategically combine signals and physical aggression differently from males in a polygynous tropical lizard
Authors: Ranade Devica , Karatgi Ratna , Mahishi Shrinidhi , Isvaran Kavita 
Published: September 2022

AbstractIntrasexual competition, the intense competition between individuals of the same sex, is a strong evolutionary force that is well known to select for elaborate and spectacular traits in males. In contrast, female-female competition is poorly understood. Although historically expected to be weak, evidence for female-female competition is fast accumulating. Yet, systematic studies of such competition are rare. Here, we frame and test for a strategy of competition in females in a wild population of a classically polygynous lizard,Psammophilus dorsalis. We used models of femaleP. dorsalisto simulate a gradient in perceived competitor threat to individually tagged, wild females on their territories, and comprehensively measured their signalling and aggression responses. Similar experiments were performed with males. Our results clearly demonstrate a complex, threat-sensitive strategy of direct competition among females in this species with conventional sex roles. Females systematically escalate their use of diverse signals along a gradient in threat and show surprisingly high levels of physical aggression. Comparisons with the responses of males to simulated threats reveal distinct sex differences in competition strategies that match theoretical expectations derived from life history. Using these findings, we argue that female-female competition may be complex but cryptic, requiring experimental manipulations to uncover.
Multi-scale spatial modeling of immune cell distributions enables survival prediction in primary central nervous system lymphoma
Authors: Roemer Margaretha G.M. , van de Brug Tim , Bosch Erik , Berry Daniella , Hijmering Nathalie , Stathi Phylicia , Weijers Karin , Doorduijn Jeannette , Bromberg Jacoline , van de Wiel Mark , Ylstra Bauke , de Jong Daphne , Kim Yongsoo 
Published: September 2022

AbstractTo understand the clinical significance of the tumor microenvironment (TME), it is essential to study the interactions between malignant and non-malignant cells in clinical specimens. Here, we established a computational framework for a multiplex imaging system to comprehensively characterize spatial contexts of the TME at multiple scales, including close and long-distance spatial interactions between cell type pairs. We applied this framework to a total of 1,393 multiplex imaging data newly generated from 88 primary central nervous system lymphomas with complete follow-up data and identified significant prognostic subgroups mainly shaped by the spatial context. A supervised analysis confirmed a significant contribution of spatial context in predicting patient survival. In particular, we found an opposite prognostic value of macrophage infiltration depending on its proximity to specific cell types. Altogether, we provide a comprehensive framework to analyze spatial cellular interaction that can be broadly applied to other technologies and tumor contexts.