The Grizzly, February 12, 2010

Main Street Renovation Improves Safety • Community Brings Down Crime at Ursinus College • Annual Scottish Irish Festival This Weekend • Bonner Leaders Hold Fair in Lower Wismer • What You Should Really Expect from Study Abroad • New Member Education Starts Up Again and Looks Forward to Positive Change • UC Gymnastics is Flipping Through 2010 Season • Moliken Named New Athletic Directorhttps://digitalcommons.ursinus.edu/grizzlynews/1805/thumbnail.jp

No evidence of SARS-CoV-2 reverse transcription and integration as the origin of chimeric transcripts in patient tissues

No abstract available

Diagnosis of childhood tuberculosis and host RNA expression in Africa

Improved diagnostic tests for tuberculosis in children are needed. We hypothesized that transcriptional signatures of host blood could be used to distinguish tuberculosis from other diseases in African children who either were or were not infected with the human immunodeficiency virus (HIV

Oral anticoagulant therapy at hospital admission associates with lower mortality in older COVID-19 patients with atrial fibrillation. An insight from the Covid Registry

FUNDING ACKNOWLEDGEMENTS: Type of funding sources: None. ONBEHALF: the GeroCovid Investigators Introduction. Atrial fibrillation (AF), the arrhythmia most frequently diagnosed in older patients, associates with serious, thrombo-embolic, complications and high mortality. COVID-19 severely affects aged subjects, determining an important prothrombotic status. Purpose. Aim of this study was to evaluate mortality-related factors in older AF patients with COVID-19.  Methods. We included 806 in-hospital COVID-19 patients aged 60 years or more hospitalized between March 1st and June 6th 2020 and enrolled in a multicenter observational study. Results. The prevalence of AF was 21.8%. In-hospital mortality was higher in the AF group (36.9 vs. 27.5%; p = 0.015). Among AF patients, those who survived were younger (81 ± 8 vs. 84 ± 7 years; p = 0.002), had a lower CHA2DS2-VASc score (3.9 ± 1.6 vs. 4.4 ± 1.3; p = 0.02) and were more frequently treated with oral anticoagulants at admission (63.1 vs. 32.3%; p < 0.001) than those who died in hospital. At multivariable logistic regression analysis, lower age (p = 0.042), a better functional profile (p = 0.007), less severe COVID-19 manifestations at admission (p = 0.001), and the use of Vitamin K antagonists (OR = 0.16, 95%CI: 0.03-0.84; p = 0.031) or DOACs (OR = 0.22, 95%CI: 0.08-0.56; p = 0.002), compared to antiplatelet therapy or no treatment at all, were associated with a lower chance of in-hospital death. Conclusions. AF is a prevalent condition and a severity factor in older COVID-19 patients. Advanced age, dependency and severe clinical manifestations of disease characterized older AF subjects with a worse prognosis. Interestingly, pre-admission anticoagulant therapy correlated positively with in-hospital survival

Psychological Well-Being of Older Adults With Cognitive Deterioration During Quarantine: Preliminary Results From the GeroCovid Initiative

Objectives: The spread of COVID-19 has undeniably unsettled the social, psychological and emotional life of the entire world population. Particular attention should be paid to older adults with dementia, given their vulnerability to emotional stressors. The aim of this retrospective study is to evaluate the impact of the first wave quarantine related to Covid-19 on psychological and affective well-being of older adults with mild/major neurocognitive disorders and of their caregivers.Methods: Data on participants' assessment before the quarantine (PREQ) were retrospectively collected. Patients with Mild Cognitive Impairment (MCI) or dementia were recruited from different Centers for Cognitive Decline and Dementia in Italy. During the quarantine, psychological and affective well-being were evaluated by phone through the administrations of scales measuring anxiety and depression (DASS), perceived stress (PSS), coping strategies (COPE) and the caregivers' burden (CBI). The scales' results were compared across participants' PREQ cognitive level (Mini Mental State Examination, MMSE ≥25, 23–24, and ≤ 22) with multiple linear regression models.Results: The sample included 168 patients (64% women) with a mean age of 79 ± 7 years. After adjusting for potential confounders, more severe cognitive impairment was independently associated with higher DASS and PSS score, and poorer coping strategies (p &lt; 0.05). Cognitive functioning was also inversely associated with CBI.Conclusions: The impact of the quarantine on the psycho-affective well-being of individuals with MCI and dementia and on caregivers' burden varies according to the PREQ cognitive functioning with more severely impaired patients having worse outcomes

Diagnosis of Kawasaki disease using a minimal whole blood gene expression signature

Importance There is no diagnostic test for Kawasaki disease (KD). Diagnosis is based on clinical features shared with other febrile conditions, frequently resulting in delayed or missed treatment and an increased risk of coronary artery aneurysms. Objective To identify a whole blood gene expression signature that distinguishes children with KD in the first week of illness from other febrile conditions. Design Case-control discovery study groups comprising training, test, and validation groups of children with KD or comparator febrile illness. Setting Hospitals in the UK, Spain, Netherlands and USA. Participants The training and test discovery group comprised 404 children with infectious and inflammatory conditions (78 KD, 84 other inflammatory diseases, 242 bacterial or viral infections) and 55 healthy controls. The independent validation group included 130 febrile children and 102 KD patients, including 72 in the first 7 days of illness. Exposures Whole blood gene expression was evaluated using microarrays, and minimal transcript sets distinguishing KD were identified using a novel variable selection method (Parallel Deterministic Model Search). Main outcomes and measures The ability of transcript signatures - implemented as Disease Risk Scores - to discriminate KD cases from controls, was assessed by Area Under the Curve (AUC), sensitivity, and specificity at the optimal cut-point according to Youden’s index. Results A 13-transcript signature identified in the discovery training set distinguished KD from other infectious and inflammatory conditions in the discovery test set with AUC, sensitivity, and specificity (95% confidence intervals (CI)) of 96.2% (92.5-99.9), 81.7% (60.0-94.8), and 92.1% (84.0-97.0), respectively. In the validation set, the signature distinguished KD from febrile controls with AUC, sensitivity, and specificity (95% CI) of 94.6% (91.3-98.0), 85.9% (76.8-92.6), and 89.1% (83.0-93.7) respectively. The signature was applied to clinically defined categories of Definite, Highly Probable and Possible KD resulting in AUCs of 98.1%, 96.3% and 70.0% respectively, mirroring clinical certainty. Conclusions and relevance A 13-transcript blood gene expression signature distinguished KD from other febrile conditions. Diagnostic accuracy increased with certainty of clinical diagnosis. A test incorporating the 13-transcript Disease Risk Score may enable earlier diagnosis and treatment of KD, and reduce inappropriate treatment in those with other diagnoses

The Grizzly, December 10, 2009

Escape Velocity Performs Winter Show: Celebrate! • Management Teams Tally Up Their Profits • Sustainability: Dreaming of a Green Christmas • Ursinus Hosts America Reads for the Tenth Annual Holiday Celebration • UC United Brings Inspirational Speaker Nancy Hunter Denney to Ursinus • Dangerous Effects of Tanning Beds • New Mammogram Recommendations • Bizarre Foods: The Fabulous Five Dollar Festive Feast • Opinion: Present Your Partner with the Perfect Present: Holiday Gift Ideas • Breaking School Records and Then Somehttps://digitalcommons.ursinus.edu/grizzlynews/1802/thumbnail.jp

The Grizzly, April 22, 2010

Yesterday Marks Ursinus\u27 Fifth Annual CoSA • John Corson Announced as Ursinus Interim President • Dean Nolan Named Vice President of Student Affairs • Southeast Asian Student Association Presents Tour of Asia to Students and Faculty • John Strassburger 5K Run is a Success • The Lantern Unveiled with New Surprises • NCAA\u27s First Openly Gay Football Captain Speaks at UC • Going the Distance with a Nose • Erin Dickerson: Promoting Diversity at Ursinus • UCDC Brings a Round of Fresh Performances Tonight Through Saturday • Opinions: Discovering the Pros and Cons of Unpaid Internships; Transferring and Adapting to Life at UC; An Ursinus Student\u27s Journey to Istanbul, Turkey • UC Women\u27s Tennis Continues with Season • Softball Coaches Might Begin to Look to UC for Advicehttps://digitalcommons.ursinus.edu/grizzlynews/1812/thumbnail.jp

The Grizzly, March 4, 2010

Ursinus Theater presents The Crucible • Political Cartoonist, Author Discusses New Book • CoSA Application, Logo Submission Deadlines Extended • Interest in Bioethics in Medicine Rises at UC • American Heart Month • Ursinus Looks Into The Buried Life • Neshoba Highlights Civil Rights Corruption in Honor of Black History Month • Chat Roulette Gambles with the Issues of Social Networking • Ursinus Lacrosse Looks to Outwork Opposition • Indoor Track & Field Championshiphttps://digitalcommons.ursinus.edu/grizzlynews/1808/thumbnail.jp

Genotype-free demultiplexing of pooled single-cell RNA-seq

A variety of methods have been developed to demultiplex pooled samples in a single cell RNA sequencing (scRNA-seq) experiment which either require hashtag barcodes or sample genotypes prior to pooling. We introduce scSplit which utilizes genetic differences inferred from scRNA-seq data alone to demultiplex pooled samples. scSplit also enables mapping clusters to original samples. Using simulated, merged, and pooled multi-individual datasets, we show that scSplit prediction is highly concordant with demuxlet predictions and is highly consistent with the known truth in cell-hashing dataset. scSplit is ideally suited to samples without external genotype information and is available at: https://github.com/jon-xu/scSplit