bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multi-omics endotype of preterm infants with bronchopulmonary dysplasia and pulmonary hypertension
Authors: Siddaiah Roopa , Oji-Mmuo Christiana , Aluquin Vincent , Kawasawa Yuka Imamura , Donnelly Ann , Rousselle Dustin , Fuentes Nathalie , Austin Eric D. , Silveyra Patricia 
Published: November 2022

AbstractRationalePulmonary hypertension associated with bronchopulmonary dysplasia is a severe complication of preterm birth resulting in high mortality of up to 50% within the first 2 years of life. There is a direct relationship between bronchopulmonary dysplasia severity and incidence of associated pulmonary hypertension. However, it is challenging to clinically characterize severe bronchopulmonary dysplasia with and without pulmonary hypertension and there is need for better understanding of the two entities.ObjectivesTo identify markers to help understand biological processes and endotype characterization of infants with pulmonary hypertension associated with bronchopulmonary dysplasia in tracheal aspirates.MethodsWe conducted multi-omic analysis of tracheal aspirates via miRNA PCR arrays, RNA sequencing and mass spectrometry proteomics in preterm infants with severe bronchopulmonary dysplasia with (n=21) and without (n=25) pulmonary hypertension.ResultsOur study analysis revealed 12 miRNAs (hsa-miR-29a, has-miR-542-3p, has-miR-624, has-miR-183, hsa-miR-501-3p, hsa-miR-101, hsa-miR-3131, hsa-miR-3683, hsa-miR-3193, hsa-miR-3672, hsa-miR-3128, and hsa-miR-1287); 6 transcripts (IL6, RPL35P5, HSD3B7, RNA5SP215, OR2A1-AS1, and RNVU1-19), and 5 proteins (CAPS, AAT, KRT5, SFTPB, and LGALS3BP) with significant differential expression in preterm infants with severe lung disease with pulmonary hypertension when compared to infants with severe lung disease but no pulmonary hypertension. Pathway analysis of the integrated multi-omic expression signatures revealed NFkB, VEGF, SERPINA1, IL6 and ERK12 as target molecules for miRNAs, and angiogenesis and hyperoxia stress as recurrent pathways of individual markers.ConclusionOur multi-omic analysis of tracheal aspirates revealed a comprehensive thumbprint of miRNAs, mRNAs and proteins that could help endotype infants with severe lung disease and pulmonary hypertension.
Citizen involvement in research on technological innovations for health, care or well-being: a scoping review
Authors: van Leersum Catharina M. , Jaschinski Christina , Bults Marloes , van der Zwart Johan 
Published: November 2022

AbstractCitizen science can be a powerful approach to foster the successful implementation of technological innovations in health, care or well-being. Involving experience experts as co-researchers or co-designers of technological innovations facilitates mutual learning, community building, and empowerment. By utilizing the expert knowledge of the intended users, innovations have a better chance to get adopted and solve complex health-related problems. As citizen science is still a relatively new practice for health and well-being, little is known about effective methods and guidelines for successful collaboration. This scoping review aims to provide insight in 1) the levels of citizen involvement in current research on technological innovations for health, care or well-being, 2) the used participatory methodologies, and 3) lesson’s learned by the researchers.The search was performed in SCOPUS in January 2021 and included peer-reviewed journal and conference papers published between 2016 and 2020. The final selection (N=83) was limited to empirical studies that had a clear focus on technological innovations for health, care or well-being and involved citizens at the level of collaboration or higher. Our results show a growing interest in citizens science as an inclusive research approach. Citizens are predominantly involved in the design phase of innovations and less in the preparation, data-analyses or reporting phase. Eight records had citizens in the lead in one of the research phases.Researcher use different terms to describe their methodological approach including participatory design, co-design, community based participatory research, co-creation, public and patient involvement, partcipatory action research, user-centered design and citizen science. Our selection of cases shows that succesfull citizen science projects develope a structural and longtidutinal partnership with their collaborators, use a situated and adaptive research approach, and have researchers that are willing to give-up tradional power dynamics and engage in a mutual learning experience.
Co-production of an online research and resource platform for improving the health of young people - The HYPE Project
Authors: Gunasinghe Cerisse , Bergou Nicol , MacCrimmon Shirlee , Rhead Rebecca , Woodhead Charlotte , Jones Nielsen Jessica D. , Hatch Stephani L 
Published: November 2022

AbstractMental health conditions tend to go unrecognised and untreated in adolescence, and therefore it is crucial to improve the health and social outcomes for these individuals through age and culturally appropriate interventions. This paper aims firstly to describe the development and implementation of the HYPE project platform (a research and resource platform co-designed and co-produced with young people). The second aim is to describe the characteristics of participants who engaged with the platform and an embedded pilot online survey.A mixed methods design (including focus groups and repeated measures surveys) was used to address aims of the HYPE project. Data were analysed using thematic analysis and descriptive statistics to: (1) help improve access to health and social services, (2) guide provision of information of online resources and (3) deliver complementary community-based events/activities to promote mental health and to ultimately prevent mental health issues.Pilot and main phases of the HYPE project demonstrated the capacity and feasibility for such a platform to reach local, national, and international populations. Analyses demonstrated that the platform was particularly relevant for young females with pre-existing health difficulties. Some of the barriers to involving young people in research and help-seeking are discussed.
Hospitalization forecast to inform COVID-19 pandemic planning and resource allocation using mathematical models
Authors: Wikman-Jorgensen Philip Erick , Ruiz Angel , Giner-Galvañ Vicente , Llenas-García Jara , Seguí-Ripoll José Miguel , Salinas Serrano Jose María , Borrajo Emilio , Ibarra Sánchez José María , García-Sabater José Pedro , Marín-García Juan A 
Published: November 2022

ABSTRACTBackgroundThe COVID-19 pandemic has put tremendous pressure on hospital resources around the world. Forecasting demand for healthcare services is important generally, but crucial in epidemic contexts, both to facilitate resource planning and to inform situational awareness. There is abundant research on methods for predicting the spread of COVID-19 and even the arrival of COVID-19 patients to hospitals emergency departments. This study builds on that work to propose a hybrid tool, combining a stochastic Markov model and a discrete event simulation model to dynamically predict hospital admissions and total daily occupancy of hospital and ICU beds.MethodsThe model was developed and validated at San Juan de Alicante University Hospital from 10 July 2020 to 10 January 2022 and externally validated at Hospital Vega Baja. An admissions generator was developed using a stochastic Markov model that feeds a discrete event simulation model in R. Positive microbiological SARS-COV-2 results from the health department’s catchment population were stratified by patient age to calculate the probabilities of hospital admission. Admitted patients follow distinct pathways through the hospital, which are simulated by the discrete event simulation model, allowing administrators to estimate the bed occupancy for the next week. The median absolute difference (MAD) between predicted and actual demand was used as a model performance measure.ResultsWith respect to the San Juan hospital data, the admissions generator yielded a MAD of 6 admissions/week (interquartile range [IQR] 2-11). The MAD between the tool’s predictions and actual bed occupancy was 20 beds/day (IQR 5-43), or 5% of the hospital beds. The MAD between the intensive care unit (ICU)’s predicted and actual occupancy was 4 beds/day (IQR 2-7), or 25% of the beds. When the model was further evaluated with data from Hospital Vega Baja, the admissions generator showed a MAD of 2.42 admissions/week (IQR 1.02-7.41). The MAD between the tools’ predictions and the actual bed occupancy was 18 beds/day (IQR 19.57-38.89), or 5.1% of the hospital beds. For ICU beds, the MAD was 3 beds/day (IQR 1-5), or 21.4% of the ICU beds.ConclusionPredictions of hospital admissions, ward beds, and ICU occupancy for COVID-19 patients were very useful to hospital managers, allowing early planning of hospital resource allocation.
Impact of SARS-CoV-2 infection on disease trajectory in youth with T1D: An EHR-based cohort study from the RECOVER program
Authors: Prahalad Priya , Lorman Vitaly , Wu Qiong , Razzaghi Hanieh , Chen Yong , Pajor Nathan , Case Abigail , Bose-Brill Seuli , Block Jason , Patel Payal B , Rao Suchitra , Mejias Asuncion , Forrest Christopher B. , Bailey L. Charles , Jhaveri Ravi , Thacker Deepika , Christakis Dimitri A. , Lee Grace M. 
Published: November 2022

AbstractBackgroundPost-acute sequelae of SARS-Co-V-2 infection (PASC) is associated with worsening diabetes trajectory. It is unknown whether PASC in children with type 1 diabetes (T1D) manifests as worsening diabetes trajectory.ObjectiveTo explore the association between SARS-CoV-2 infection (COVID-19) and T1D-related healthcare utilization (for diabetic ketoacidosis [DKA] or severe hypoglycemia [SH]) or Hemoglobin (Hb) A1c trajectory.MethodsWe included children <21 years with T1D and ≥1 HbA1c prior to cohort entry, which was defined as COVID-19 (positive diagnostic test or diagnosis code for COVID-19, multisystem inflammatory syndrome in children, or PASC) or a randomly selected negative test for those who were negative throughout the study period (Broad Cohort). A subset with ≥1 HbA1c value from 28-275 days after cohort entry (Narrow Cohort) was included in the trajectory analysis. Propensity score-based matched cohort design followed by weighted Cox regression was used to evaluate the association of COVID-19 with healthcare utilization ≥28 days after cohort entry. Generalized estimating equation models were used to measure change in HbA1c in the Narrow cohort.ResultsFrom 03/01/2020-06/22/2022, 2,404 and 1,221 youth met entry criteria for the Broad and Narrow cohorts, respectively. The hazard ratio for utilization was (HR 1.45 [95%CI,0.97,2.16]). In the Narrow Cohort, the rate of change (slope) of HbA1c increased 91-180 days after cohort entry for those with COVID-19 (0.138 vs. -0.002, p=0.172). Beyond 180 days, greater declines in HbA1c were observed in the positive cohort (-0.104 vs. 0.008 per month, p=0.024).ConclusionWhile a trend towards worse outcomes following COVID-19 in T1D patients was observed, these findings were not statistically significant. Continued clinical monitoring of youth with T1D following COVID-19 is warranted.Authorship StatementAuthorship has been determined according to ICMJE recommendationsDisclaimerThe content is solely the responsibility of the authors and does not necessarily represent the official views of the RECOVER Program, the NIH or other funders.Funding Source⍰This research was funded by the National Institutes of Health (NIH) Agreement OT2HL161847-01 as part of the Researching COVID to Enhance Recovery (RECOVER) program of research.
Post-GWAS multiomic functional investigation of theTNIP1locus in Alzheimer’s disease implicates mediation throughGPX3
Authors: Panyard Daniel J. , Reus Lianne M. , Ali Muhammad , Liu Jihua , Deming Yuetiva K. , Lu Qiongshi , Kollmorgen Gwendlyn , Suridjan Ivonne , Wild Norbert , Visser Pieter J. , Bertram Lars , Zetterberg Henrik , Blennow Kaj , Gobom Johan , Western Dan , Sung Yun Ju , Carlsson Cynthia M. , Johnson Sterling C. , Asthana Sanjay , Cruchaga Carlos , Tijms Betty M. , Engelman Corinne D. , Snyder Michael P. 
Published: November 2022

AbstractThe recently reportedTNIP1/GPX3locus from AD GWAS studies was investigated. Using proteomics and other functional omics data, we identified evidence for a functional mechanism linking variants in this locus to decreased CSF GPX3 levels as AD progresses, suggesting a new potential target for intervention.
Caffeine and Sleep in East Tennessee students
Authors: Brahmbhatt Viraj 
Published: November 2022

AbstractCaffeine is a psychoactive stimulant that works on the central nervous system and is widely consumed for its ability to increase alertness. The well-known effects of caffeine consumption include increasing alertness and focus. In addition, this caffeine consumption is well known for its ability to interrupt sleep. In previous studies investigating the prevalence of caffeine consumption, students indicated that caffeine consumption was a prevalent behavior sought after to improve academic and athletic performance in the college students studied (Mahoney et al., 2019). Current American Academy of Pediatrics guidelines for caffeine consumption of 100 mg/day for those under 18 seem optimistic given the prevalence of caffeine consumption indicated in current literature. Current studies in medical students in the Middle East have indicated high levels of caffeine consumption and lacking sleep as well as elevated anxiety and depression symptoms. This study aims to bridge the gap on caffeine consumption, sleep, and associated behaviors in American students in the East Tennessee area. The method utilized a survey distributed through the REDCap platform. The survey was constructed using the Pittsburgh Sleep Quality Index (PSQI) as well as an original caffeine consumption portion of the survey. An open response section was provided so that respondents may be able to provide specific factors that may have contributed to their loss of sleep or increased caffeine intake. The final sample included 97 responses from high school and college students between the ages of 14 and 45, of which 57 were deemed fully completed and able to be analyzed. Analysis revealed that there was a correlation between decreased sleep and increased caffeine intake. 63.2% of respondents indicated caffeine consumption. For the individuals 18 and under, 75% of respondents indicated caffeine consumption over the healthy guidelines indicated by the American Academy of Pediatrics. Additionally, in the free response section, 27% of respondents indicated that they were unable to sleep due to stress brought on by school or homework, while 15% of respondents indicated that they had been able to get sufficient sleep because of stress. This study offers insight into the higher than recognized caffeine usage within students. Additionally, sleep levels were generally below the recommended guidelines. This data prompts further studies looking into adolescent mental health, associated with the lacking sleep and high caffeine levels, as well as prompts schools to potentially offer additional resources to combat the mental health detriment that may be suffered as a result of lacking sleep and excessive caffeine intake.
Surveillance of COVID-19 vaccine safety among elderly persons aged 65 years and older
Authors: Wong Hui-Lee , Tworkoski Ellen , Zhou Cindy Ke , Hu Mao , Thompson Deborah , Lufkin Bradley , Do Rose , Feinberg Laurie , Chillarige Yoganand , Dimova Rositsa , Lloyd Patricia , MaCurdy Thomas , Forshee Richard A. , Kelman Jeffrey , Shoaibi Azadeh , Anderson Steven A. 
Published: November 2022

AbstractBackgroundMonitoring safety outcomes following COVID-19 vaccination is critical for understanding vaccine safety especially when used in key populations such as elderly persons age 65 years and older who can benefit greatly from vaccination. We present new findings from a nationally representative early warning system that may expand the safety knowledge base to further public trust and inform decision making on vaccine safety by government agencies, healthcare providers, interested stakeholders, and the public.MethodsWe evaluated 14 outcomes of interest following COVID-19 vaccination using the US Centers for Medicare & Medicaid Services (CMS) data covering 30,712,101 elderly persons. The CMS data from December 11, 2020 through Jan 15, 2022 included 17,411,342 COVID-19 vaccinees who received a total of 34,639,937 doses. We conducted weekly sequential testing and generated rate ratios (RR) of observed outcome rates compared to historical (or expected) rates prior to COVID-19 vaccination.FindingsFour outcomes met the threshold for a statistical signal following Pfizer-BioNTech vaccination including pulmonary embolism (PE; RR=1.54), acute myocardial infarction (AMI; RR=1.42), disseminated intravascular coagulation (DIC; RR=1.91), and immune thrombocytopenia (ITP; RR=1.44). After further evaluation, only the RR for PE still met the statistical threshold for a signal; however, the RRs for AMI, DIC, and ITP no longer did. No statistical signals were identified following vaccination with either the Moderna or Janssen vaccines.InterpretationThis early warning system is the first to identify temporal associations for PE, AMI, DIC, and ITP following Pfizer-BioNTech vaccination in the elderly. Because an early warning system does not prove that the vaccines cause these outcomes, more robust epidemiologic studies with adjustment for confounding factors, including age and nursing home residency, are underway to further evaluate these signals. FDA strongly believes the potential benefits of COVID-19 vaccination outweigh the potential risks of COVID-19 infection.
Difficult-to-treat rheumatoid arthritis (D2T RA): clinical issues at early stages of disease
Authors: Leon Leticia , Madrid-García Alfredo , Lopez-Viejo Patricia , González-Álvaro Isidoro , Novella-Navarro Marta , Freites Nuñez Dalifer , Rosales Zulema , Fernandez-Gutierrez Benjamin , Abasolo Lydia 
Published: November 2022

AbstractObjectivesMost studies on difficult-to-treat rheumatoid arthritis (D2T RA) have focused on established RA. Here, we analyze whether disease activity in the early stages of RA could influence progression to a D2T RA under real-life conditions. Other clinical and treatment-related factors were also analyzed.MethodsA longitudinal multicenter study of RA patients was conducted from 2009 to 2018. Patients were followed up until January 2021. D2T RA was defined based on EULAR criteria (treatment failure, signs suggestive of currently active/progressive disease, and management being perceived as problematic by the rheumatologist and/or patient). The main outcome was disease activity in the early stages. The covariates were sociodemographic, clinical, and treatment-related factors. We ran a multivariable logistic regression analysis to investigate risk factors associated with progression to D2T RA. Weighting techniques were also applied to balance data.ResultsThe study population comprised 631 patients and 35 developed D2T RA. At the time of diagnosis, the D2T RA group were younger, with a higher disability, DAS28 score, tender joint count and pain scores. In our final model, DAS28 was not statistically significantly associated with D2T RA. No differences were found between groups for therapy. Disability was independently associated with D2T RA (OR: 1.50; p=0.02).ConclusionsIn this cohort of patients newly diagnosed with RA, our results do not allow us to prove the influence of active disease according to DAS28. However, we did find that patients with elevated initial disability scores are more likely to develop D2T RA regardless of other factors.What is already known on this topicDespite T2T and the availability of a range of advanced therapies, D2T RA remains a relevant clinical problem. Evidence for the D2T RA population have focused on established RA. The aim of our study was to analyze whether disease activity at diagnosis could influence progression to D2T RA under real-life conditions.What this study addsWe did find that patients with elevated initial disability scores are more likely to develop D2T RA regardless of other factors.How this study might affect research, practice or policyThe implementation of more effective strategies in the early stages of the disease and focused on the most influential factors, including severe disability, may change disease course and prevent D2T RA.
Mental health, blood pressure and the development of hypertension
Authors: Schaare H. Lina , Blöchl Maria , Kumral Deniz , Uhlig Marie , Lemcke Lorenz , Valk Sofie L. , Villringer Arno 
Published: November 2022

AbstractHypertension (HTN) has been associated with a greater risk of affective disorders. Paradoxically, several studies have shown the opposite effect in which high blood pressure relates to less depressive symptoms and greater well-being. Here we dissolve this paradox and clarify the relationship between mental health, blood pressure and the development of HTN using the UK Biobank. In adjusted multiple linear regression models, we found that the presence of a HTN diagnosis was associated with impaired mental health (i.e. more depressive symptoms (N = 303,771; β = 0.043; 95% CI [0.039, 0.047]; p<0.001) and lower well-being scores (N = 129,876; β = -0.057; 95% CI [-0.064, - 0.050]; p<0.001)) at baseline, whereas higher systolic blood pressure (SBP) was associated with fewer depressive symptoms (N = 303,771; β = -0.063; 95% CI [-0.067, -0.060]; p<0.001) and higher well-being scores (N = 129,876; β = 0.057; 95% CI [0.051, 0.063]; p<0.001). These effects persisted until follow-up (∼10 years later). To explore a potential link between the mental health-blood pressure association and the development of HTN, we compared participants who were normotensive at baseline and developed HTN until follow-up with those who stayed normotensive. Notably, the adjusted model showed impaired mental health already at baseline in HTN developers (i.e., before HTN diagnosis; depressive symptoms: β = 0.060; 95% CI [0.045, 0.076]; p<0.001; well-being: β = -0.043; 95% CI [-0.068, -0.017]; p<0.001), indicating that people who develop HTN might require higher blood pressure levels for the same mental health outcomes as normotensives. In addition, the negative association between SBP and depressive symptoms at baseline was moderated by HTN development (β = -0.014; 95% CI [-0.026, -0.003]; p=0.015), suggesting that the negative relationship between mental health and blood pressure was accentuated in people developing HTN several years before receiving their HTN diagnosis. We further observed that higher SBP was associated with lower emotion-related brain activity from functional magnetic resonance imaging (fMRI; β = -0.032 95% CI [-0.045, -0.019]; p<0.001). This effect was also moderated by HTN diagnosis, suggesting an impact of SBP and HTN on the central nervous processing of emotions. Possible mechanisms are discussed, including regulatory baroreceptor circuits linking arterial blood pressure to neural processing of emotions. Overall, our results show an interrelation between mental health and blood pressure that may be involved in the development of HTN. In people who develop HTN, this relationship seems to be altered, such that higher blood pressure is required to sustain mental health, potentially offering a novel perspective for developing preventive and therapeutic measures.