Digital Commons Network^™

Hospital Readmission Of Adolescents And Young Adults With Complex Chronic Disease., Peter Dunbar, Matt Hall, James C. Gay, Clarissa Hoover, Jessica L. Markham, Jessica L. Bettenhausen, James M. Perrin, Karen A. Kuhlthau, Morgan Crossman, Brigid Garrity, Jay G. Berry

Manuscripts, Articles, Book Chapters and Other Papers

Importance: Adolescents and young adults (AYA) who have complex chronic disease (CCD) are a growing population that requires hospitalization to treat severe, acute health problems. These patients may have increased risk of readmission as demands on their self-management increase and as they transfer care from pediatric to adult health care practitioners.

Objective: To assess variation across CCDs in the likelihood of readmission for AYA with increasing age.

Design, Setting, and Participants: Retrospective 1-year cross-sectional study of the 2014 Agency for Healthcare Research and Quality Nationwide Readmissions Database for all US hospitals. Participants were 215 580 hospitalized individuals aged 15 to …

Abcb1 Snp Predicts Outcome In Patients With Acute Myeloid Leukemia Treated With Gemtuzumab Ozogamicin: A Report From Children's Oncology Group Aaml0531 Trial., Roya Rafiee, Lata Chauhan, Todd A. Alonzo, Yi-Cheng Wang, Ahlam Elmasry, Michael R. Loken, Jessica Pollard, Richard Aplenc, Susana Raimondi, Betsy A. Hirsch, Irwin D. Bernstein, A S. Gamis, Soheil Meshinchi, Jatinder K. Lamba

Manuscripts, Articles, Book Chapters and Other Papers

Gemtuzumab-ozogamicin (GO), a humanized-anti-CD33 antibody linked with the toxin-calicheamicin-γ is a reemerging and promising drug for AML. Calicheamicin a key element of GO, induces DNA-damage and cell-death once the linked CD33-antibody facilitates its uptake. Calicheamicin efflux by the drug-transporter PgP-1 have been implicated in GO response thus in this study, we evaluated impact of ABCB1-SNPs on GO response. Genomic-DNA samples from 942 patients randomized to receive standard therapy with or without addition of GO (COG-AAML0531) were genotyped for ABCB1-SNPs. Our most interesting results show that for rs1045642, patients with minor-T-allele (CT/TT) had better outcome as compared to patients with CC …

Direct Lung Sampling Indicates That Established Pathogens Dominate Early Infections In Children With Cystic Fibrosis., Peter Jorth, Zarmina Ehsan Md, Amir Rezayat, Ellen Caldwell, Christopher Pope, John J. Brewington, Christopher H. Goss, Dan Benscoter, John P. Clancy, Pradeep K. Singh

Manuscripts, Articles, Book Chapters and Other Papers

Culture and sequencing have produced divergent hypotheses about cystic fibrosis (CF) lung infections. Culturing suggests that CF lungs are uninfected before colonization by a limited group of CF pathogens. Sequencing suggests diverse communities of mostly oral bacteria inhabit lungs early on and diversity decreases as disease progresses. We studied the lung microbiota of CF children using bronchoscopy and sequencing, with measures to reduce contamination. We found no evidence for oral bacterial communities in lung lavages that lacked CF pathogens. Lavage microbial diversity varied widely, but decreases in diversity appeared to be driven by increased CF pathogen abundance, which reduced the …

Genomic Prediction Of Relapse In Recipients Of Allogeneic Haematopoietic Stem Cell Transplantation., J Ritari, K Hyvärinen, S Koskela, M Itälä-Remes, R Niittyvuopio, A Nihtinen, U Salmenniemi, M Putkonen, L Volin, T Kwan, T Pastinen, J Partanen

Manuscripts, Articles, Book Chapters and Other Papers

Allogeneic haematopoietic stem cell transplantation currently represents the primary potentially curative treatment for cancers of the blood and bone marrow. While relapse occurs in approximately 30% of patients, few risk-modifying genetic variants have been identified. The present study evaluates the predictive potential of patient genetics on relapse risk in a genome-wide manner. We studied 151 graft recipients with HLA-matched sibling donors by sequencing the whole-exome, active immunoregulatory regions, and the full MHC region. To assess the predictive capability and contributions of SNPs and INDELs, we employed machine learning and a feature selection approach in a cross-validation framework to discover the …