bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association of COVID-19 Vaccination in Pregnancy With Adverse Peripartum Outcomes
Authors: Fell Deshayne B. , Dhinsa Tavleen , Alton Gillian D. , Török Eszter , Dimanlig-Cruz Sheryll , Regan Annette K. , Sprague Ann E. , Buchan Sarah A. , Kwong Jeffrey C. , Wilson Sarah E. , Håberg Siri E. , Gravel Christopher A. , Wilson Kumanan , El-Chaâr Darine , Walker Mark C. , Barrett Jon , MacDonald Shannon E. , Okun Nannette , Shah Prakesh S. , Dougan Shelley D. , Dunn Sandra , Bisnaire Lise 
Published: October 2022

(Abstracted from JAMA 2022;327:1478–1487)
Pregnant individuals with COVID-19 infection are at higher risk for hospitalization, intensive care unit (ICU admission), and death. After SARS-CoV-2 infection during pregnancy, significantly higher rates of adverse pregnancy outcomes such as preterm birth and stillbirth have also been observed.
Stromal Cell Senescence Contributes to Impaired Endometrial Decidualization and Defective Interaction With Trophoblast Cells
Authors: Deryabin P. I. , Borodkina A. V. 
Published: October 2022

(Abstracted from Hum Reprod 2022;37:1505–1524)
The term senescence refers to the cellular state wherein cells preserve viability and metabolic activity while ceasing proliferation. Senescence-associated secretory phenotype (SASP) secretions produced by senescent cells have been shown to facilitate tumor development and play a positive role in cancer progression.
Psychosocial characteristics of patients evaluated for kidney, liver, or heart transplantation
Authors: Gronewold Nadine , Schunn Fabian , Ihrig Andreas , Mayer Gwendolyn , Wohnsland Sascha , Wagenlechner Petra , Leuschner Maren , Kreusser Michael M. , Sommerer Claudia , Rupp Christian , Friederich Hans-Christoph , Schultz Jobst-Hendrik , Bruns Bastian 
Published: October 2022

Abstract

Objective
Psychosocial parameters play a pivotal role in organ recipient evaluation before waitlisting for transplantation due to their impact on organ and patient outcome. Patients in need of heart- (HTx), liver- (LTx), or kidney transplantation (KTx) face distinct physical and psychological challenges. This study compares the psychosocial characteristics and preferences for additional therapy of patients undergoing assessment for these three types of organ transplantation to optimize patient-tailored psychological, social and other supportive interventions.

Methods
We conducted a cross-sectional, observational study with 1110 potential transplantation candidates (LTx n = 544, KTx n = 330, HTx n = 236), psychosocial status was determined for depressive symptoms (PHQ-9), anxiety symptoms (GAD-7), health related quality of life (SF-36), perceived social support (F-SozU), sense of coherence (SoC) (SoC-L9), self-efficacy (ASKU), and body image (FKB-20). Preferences for additional supportive therapy were assessed dichotomously. Data were analyzed using MANCOVA and Chi-squared tests.

Results
Patient groups differed significantly regarding depression (F
(2,1107) = 35.283, p < .001, partial ƞ2 = .01), anxiety (F
(2,1107) = 15.027, p < .001, partial ƞ2 = .03), health related quality of life (physical: F
(2,1107) = 96.772, p < .001, partial ƞ2 = .15; mental: F
(2,1107) = 11.442, p < .001, partial ƞ2 = .02), perceived social support (F
(2,1107) = 20.813, p < .001, partial ƞ2 = .04), sense of coherence (F
(2,1107) = 12.920, p < .001, partial ƞ2 = .02), self-efficacy (F
(2,1107) = 17.308, p < .001, partial ƞ2 = .03) and body image (rejecting body evaluation: F
(2,1107) = 5.006, p = .007, partial ƞ2 = .01; vital body dynamics: F
(2,1107) = 40.216, p < .001, partial ƞ2 = .07). Patients evaluated for HTx showed the highest psychosocial impairment and the highest inclination regarding additional supportive therapy.

Conclusions
Patients evaluated for HTx, LTx, and KTx have distinct psychosocial characteristics and treatment preferences. HTx patients display the highest psychosocial impairment. We suggest psycho-cardiological treatment structures for optimal outcome.
Antidepressant use and risk of myocardial infarction A long:itudinal investigation of sex-specific associations in the HUNT study
Authors: Karlsen Håvard Rudi , Løchen Maja-Lisa , Langvik Eva 
Published: October 2022

Abstract

Objective
Antidepressants are thought to affect risk of cardiovascular disease (CVD), though the nature of the association is unclear. Men and women have unique cardiovascular risk factors, and sex differences in depression as well as the efficacy of antidepressants are important to consider. We examined whether antidepressant use was associated with risk of having a myocardial infarction (MI), and whether this association was sex-specific.

Methods
Data from the HUNT study were used, gathered from a population in Norway (N = 31 765), collected from 1995 to 2008. These data were combined with the Norwegian Cause of Death Registry and the Norwegian Prescription Database. We performed logistic regression models to examine the association of antidepressant use on risk of having a fatal or non-fatal MI, adjusting for depression, anxiety, diabetes, systolic blood pressure, cholesterol, waist-hip ratio, smoking, age, and sex. Results are presented as odds ratios (OR) and 95% confidence intervals in parentheses.

Results
The results indicated that antidepressant use was associated with a reduced risk of having MI at a later date (OR = 0.49 [0.38, 0.64]). Although this association was somewhat stronger for women (OR = 0.46 [0.31, 0.68]) compared to men (OR = 0.53 [0.37, 0.75]), analysis did not identify a sex-specific association of antidepressant use on MI. Follow-up analyses on different sub-types of antidepressants, showed that both SSRI and TCA were associated with reduced risk of MI.

Conclusions
In this population study, the use of antidepressants was associated with a reduced risk of MI. This association was stronger for women, though we detected no interaction between sex and antidepressant use in terms of reduced risk of MI. Although limitations apply regarding causality, especially concerning a dose-response relationship, the results suggest that antidepressant use might reduce the risk of MI among both men and women.
Epigenome-Wide Analysis of DNA Methylation and Optimism in Women and Men
Authors: Wang Cuicui , DeMeo Dawn L. , Kim Eric S. , Cardenas Andres , Fong Kelvin C. , Lee Lewina O. , Spiro Avron , Whitsel Eric A. , Horvath Steve , Hou Lifang , Baccarelli Andrea A. , Li Yun , Stewart James D. , Manson JoAnn E. , Grodstein Francine , Kubzansky Laura D. , Schwartz Joel D. 
Published: October 2022

ABSTRACT

Objective
Higher optimism is associated with reduced mortality and a lower risk of age-related chronic diseases. DNA methylation (DNAm) may provide insight into mechanisms underlying these relationships. We hypothesized that DNAm would differ among older individuals who are more versus less optimistic.

Methods
Using cross-sectional data from two population-based cohorts of women with diverse races/ethnicities (n = 3816) and men (only White, n = 667), we investigated the associations of optimism with epigenome-wide leukocyte DNAm. Random-effects meta-analyses were subsequently used to pool the individual results. Significantly differentially methylated cytosine-phosphate-guanines (CpGs) were identified by the “number of independent degrees of freedom” approach: effective degrees of freedom correction using the number of principal components (PCs), explaining >95% of the variation of the DNAm data (PC-correction). We performed regional analyses using comb-p and pathway analyses using the Ingenuity Pathway Analysis software.

Results
We found that essentially all CpGs (total probe N = 359,862) were homogeneous across sex and race/ethnicity in the DNAm-optimism association. In the single CpG site analyses based on homogeneous CpGs, we identified 13 significantly differentially methylated probes using PC-correction. We found four significantly differentially methylated regions and two significantly differentially methylated pathways. The annotated genes from the single CpG site and regional analyses are involved in psychiatric disorders, cardiovascular disease, cognitive impairment, and cancer. Identified pathways were related to cancer, and neurodevelopmental and neurodegenerative disorders.

Conclusion
Our findings provide new insights into possible mechanisms underlying optimism and health.
Incidence and risk factors for medical adhesive-related skin injury in catheters of critically ill patients – A prospective cohort study
Authors: Frota Oleci Pereira , Pinho Jéssica do Nascimento , Ferreira-Júnior Marcos Antonio , Sarti Elaine Cristina Fernandes Baez , Paula Fabiana Martins de , Ferreira Danielle Neris 
Published: October 2022

ABSTRACTAimTo investigate the incidence and risk factors for medical adhesive-related skin injury (MARSI) in catheters of critically ill patients.MethodsA prospective cohort study was conducted in adult intensive care units of two Brazilian university hospitals. A total of 150 patients (439 catheters) were included. Skin exposed to the catheter fixation adhesives (central venous, nasogastric, nasoenteral and indwelling urinary) was examined daily by four trained researchers. The patients’ sociodemographic and clinical data were collected from their electronic medical records. The association between independent variables and MARSI was investigated by bivariate statistics, followed by multiple logistic regression.ResultsThe MARSI incidence was 42% (8.64 MARSIs per 100 patients/day). Advanced age, prolonged hospital stay, dry skin, repetitive adhesive removal, low Braden Scale score and hypoalbuminemia were associated with MARSI (p < .05). According to multivariate logistic regression, dry skin increased the chance of MARSI by 5.21 times (odds ratio [OR] 5.21; 95% confidence interval [95% CI] 2.43-11.11), while the Braden Scale score was a protective factor, showing 31% less chance of MARSI for each added score (OR 0.69; 95% CI 0.57-0.85). A higher incidence of MARSI was observed in nasoenteral catheters and in those fixed with adhesive using natural rubber. The MARSI types were predominantly mechanical (70.3%): skin stripping (41.3%), skin tear (26.1%) and tension injury or blister (2.9%).ConclusionsMARSI is a common event in adult intensive care units and most risk factors are modifiable. Preventive actions are potentially capable of reducing incidence, optimizing financial resources and improving clinical results.
Unsupervised co-optimization of a graph neural network and a knowledge graph embedding model to prioritize causal genes for Alzheimer’s Disease
Authors: Prabhakar Vignesh , Liu Kai 
Published: October 2022

1.AbstractData obtained from clinical trials for a given disease often capture reliable empirical features of the highest quality which are limited to few studies/experiments. In contrast, knowledge data extracted from biomedical literature captures a wide range of clinical information relevant to a given disease that may not be as reliable as the experimental data. Therefore, we propose a novel method of training that co-optimizes two AI algorithms on experimental data and knowledge-based information from literature respectively to supplement the learning of one algorithm with that of the other and apply this method to prioritize/rank causal genes for Alzheimer’s Disease (AD). One algorithm generates unsupervised embeddings for gene nodes in a protein-protein interaction network associated with experimental data. The other algorithm generates embeddings for the nodes/entities in a knowledge graph constructed from biomedical literature. Both these algorithms are co-optimized to leverage information from each other’s domain. Therefore; a downstream inferencing task to rank causal genes for AD ensures the consideration of experimental and literature data available to implicate any given gene in the geneset. Rank-based evaluation metrics computed to validate the gene rankings prioritized by our algorithm showed that the top ranked positions were highly enriched with genes from a ground truth set that were experimentally verified to be causal for the progression of AD.
Radiomics analysis to predict pulmonary nodule malignancy using machine learning approaches
Authors: Warkentin Matthew T. , Al-Sawaihey Hamad , Lam Stephen , Liu Geoffrey , Diergaarde Brenda , Yuan Jian-Min , Wilson David O. , Tammemägi Martin C. , Atkar-Khattra Sukhinder , Grant Benjamin , Brhane Yonathan , Khodayari-Moez Elham , Campbell Kieran R. , Hung Rayjean J. 
Published: October 2022

AbstractPurposeScreening with low-dose computed tomography can reduce lung cancer-related mortality. However, most screen-detected pulmonary abnormalities do not develop into cancer and it remains challenging to identify high-risk nodules among those with indeterminate appearance. We aim to develop and validate prediction models to discriminate between benign and malignant pulmonary lesions based on radiological features.MethodsUsing four international lung cancer screening studies, we extracted 2,060 radiomic features for each of 16,797 nodules among 6,865 participants. After filtering out redundant and low-quality radiomic features, 642 radiomic and 9 epidemiologic features remained for model development. We used cross-validation and grid search to assess three machine learning models (XGBoost, Random Forest, LASSO) for their ability to accurately predict risk of malignancy for pulmonary nodules. We fit the top-performing ML model in the full training set. We report model performance based on the area under the curve (AUC) and calibration metrics in the held-out test set.ResultsThe ML models that yielded the best predictive performance in cross-validation were XGBoost and LASSO, and among these models, LASSO had superior model calibration, which we considered to be the optimal model. We fit the final LASSO model based on the optimized hyperparameter from cross-validation. Our radiomics model was both well-calibrated and had a test-set AUC of 0.930 (95% CI: 0.901-0.957) and out-performed the established Brock model (AUC=0.868, 95% CI: 0.847-0.888) for nodule assessment.ConclusionWe developed highly-accurate machine learning models based on radiomic and epidemiologic features from four international lung cancer screening studies that may be suitable for assessing suspicious, but indeterminate, screen-detected pulmonary nodules for risk of malignancy.
Plasma cytokine levels reveal deficiencies in IL-8 and gamma interferon in Long-COVID
Authors: Williams Elizabeth S. C. P. , Martins Thomas B. , Hill Harry R. , Coiras Mayte , Shah Kevin S. , Planelles Vicente , Spivak Adam M. 
Published: October 2022

AbstractUp to half of individuals who contract SARS-CoV-2 develop symptoms of long-COVID approximately three months after initial infection. These symptoms are highly variable, and the mechanisms inducing them are yet to be understood. We compared plasma cytokine levels from individuals with long-COVID to healthy individuals and found that those with long-COVID had 100% reductions in circulating levels of interferon gamma (IFNγ) and interleukin-8 (IL-8). Additionally, we found significant reductions in levels of IL-6, IL-2, IL-17, IL-13, and IL-4 in individuals with long-COVID. We propose immune exhaustion as the driver of long-COVID, with the complete absence of IFNγ and IL-8 preventing the lungs and other organs from healing after acute infection, and reducing the ability to fight off subsequent infections, both contributing to the myriad of symptoms suffered by those with long-COVID.
The Relationship Between Treatment Center Services and Number of Opioid-related Deaths in the United States Before and After a Declaration of a National Opioid Crisis
Authors: Hatton Courtney L. , Davis Brittany N. , Jama Mahamed A. , Samdani Nidha S. 
Published: October 2022

ABSTRACTOpioid-related deaths are a national problem that have increased over the past two decades. Multiple policy interventions have been enacted to decrease opioid misuse and expand treatment. The Comprehensive Addiction and Recovery Act (CARA) was passed in July 2016, just before declaring the opioid epidemic a National Emergency in 2017. CARA was enacted to combat the opioid epidemic by providing more funding yearly for items including but not limited to prevention, treatment, and opioid overdose reversal. To evaluate the impact of these policy changes, we carried out secondary data analysis for the period 2011-2019 using the CDC’s Wide-ranging Online Data for Epidemiologic Research and National Survey of Substance Abuse Treatment Services databases.Research variables included: a comparison of the 50 states across the 2011-2019 timeframe, the number of opioid treatment centers, the percentage of government funding for facilities per state, percentage of opioid treatment facilities which offer free/low-income services and the opioid death rate. We also assessed differences in low-income access to opioid treatment services by comparing Medicaid expansion states versus non-Medicaid expansion states.While both the number of treatment facilities per state and opioid death rates nearly doubled during this time, there was little to no association between them (R2 ranging from: 0.094-0.188 for years 2013-2019). Our research suggests that while state-level differences in opioid use disorder treatment facility characteristics related to access to care, they were only weakly associated with opioid-related deaths. This analysis may be used in the planning of subsequent actions against the national opioid epidemic and invites further inquiry into the impact of state Medicaid expansion on drug-specific opioid usage and mortality.
A roadmap for implementation of kV-CBCT online adaptive radiation therapy and initial first year experiences
Authors: Stanley Dennis N. , Harms Joseph , Pogue Joel A. , Belliveau Jean-Guy , Marcrom Samuel R. , McDonald Andrew M. , Dobelbower Michael C. , Boggs Drexell H. , Soike Michael H. , Fiveash John A. , Popple Richard A. , Cardenas Carlos E. 
Published: October 2022

AbstractPurposeOnline Adaptive Radiation Therapy(oART) follows a different treatment paradigm than conventional radiotherapy and, because of this, the resources, implementation, and workflows needed are unique. The purpose of this report is to outline our institution’s experience establishing, organizing, and implementing an oART program using the Ethos therapy system.MethodsWe include resources used; operational models utilized, program creation timelines, and our institutional experiences with implementation and operation of an oART program. Additionally, we provide a detailed summary of our first year’s clinical experience where we delivered over 1000 daily adaptive fractions. For all treatments, the different stages of online adaption, primary patient set-up, initial kV-CBCT acquisition, contouring review and edit of influencer structures, target review and edits, plan evaluation and selection, Mobius3D 2ndcheck and adaptive QA, 2ndkV-CBCT for positional verification, treatment delivery, and patient leaving the room, were analyzed.ResultsWe retrospectively analyzed data from ninety-seven patients treated from August 2021-August 2022. 1677 individual fractions were treated and analyzed, 632(38%) were non-adaptive and 1045(62%) were adaptive. 74 of the 97 patients (76%) were treated with standard fractionation and 23 (24%) received stereotactic treatments. For the adaptive treatments, the generated adaptive plan was selected in 92% of treatments. On average(±std), adaptive sessions took 34.52±11.42 minutes from start to finish. The entire adaptive process (from start of contour generation to verification CBCT), performed by the physicist (and physician on select days), was 19.84±8.21 minutes.ConclusionWe present our institution’s experience commissioning an oART program using the Ethos therapy system. It took us 12 months from project inception to treatment of our first patient and 12 months to treat 1000 adaptive fractions. Retrospective analysis of delivered fractions showed that average overall treatment time was approximately 35 minutes and average time for the adaptive component of treatment was approximately 20 minutes.
Association of Women-Specific Health Factors in the Severity of Parkinson’s Disease
Authors: Rao Shilpa C , Li Yadi , Lapin Brittany , Pattipati Sreya , Ghosh Galvelis Kamalini , Naito Anna , Guitierrez Nicolas , Peixoto Leal Thiago , Salim Amira , Salles Philippe A. , De Leon Maria , Mata Ignacio F 
Published: October 2022

AbstractBackgroundParkinson’s disease (PD) is an age-related neurological disorder known for the observational differences in its risk, progression, and severity between men and women. While estrogen has been considered to be a protective factor in the development of PD, there is little known about the role that fluctuations in hormones and immune responses from sex-specific health experiences have in the disease’s development and severity.ObjectiveWe sought to identify women-specific health experiences associated with PD severity by developing and distributing a women-specific questionnaire across the United States.DesignWe created a questionnaire that addresses women’s specific experiences and their PD clinical history and deployed it through The Parkinson’s Foundation: PD Generations. To determine the association between women-specific health factors and PD severity, we constructed multivariable logistic regression models based on the MDS-UPDRS scale and the participants’ questionnaire responses, genetics, and clinical data.ResultsFor our initial launch in November 2021, we had 304 complete responses from PD GENEration. Univariate and multivariate logistic modeling found significant associations between major depressive disorder, perinatal depression, natural childbirth, LRRK2 genotype, B12 deficiency, total hysterectomy and increased PD severity.ConclusionsThis study is the first nationally available questionnaire for women’s health and PD. It shifts the paradigm in understanding PD etiology and acknowledging how sex-specific experiences may contribute to PD severity. In addition, the work in this study sets the foundation for future research to investigate the reasons behind the sex differences in PD.