<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Granchelli AM</submitter><funding>DOD | Army Research Office</funding><funding>Claudia Ruth Goodrich Stevens Family Endowment Fund</funding><funding>Cystic Fibrosis Foundation</funding><funding>HHS | NIH | National Cancer Institute</funding><funding>RCUK | Medical Research Council</funding><funding>Ben B and Iris M Margolis Foundation</funding><funding>HHS | NIH | National Heart, Lung, and Blood Institute</funding><funding>National Science Foundation</funding><pagination>e00354-18</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6062800</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>56(8)</volume><pubmed_abstract>Interactions in the airway ecology of cystic fibrosis may alter organism persistence and clinical outcomes. Better understanding of such interactions could guide clinical decisions. We used generalized estimating equations to fit logistic regression models to longitudinal 2-year patient cohorts in the Cystic Fibrosis Foundation Patient Registry, 2003 to 2011, in order to study associations between the airway organisms present in each calendar year and their presence in the subsequent year. Models were adjusted for clinical characteristics and multiple observations per patient. Adjusted models were tested for sensitivity to cystic fibrosis-specific treatments. The study included 28,042 patients aged 6 years and older from 257 accredited U.S. care centers and affiliates. These patients had p</pubmed_abstract><journal>Journal of clinical microbiology</journal><pubmed_title>Microbial Interactions in the Cystic Fibrosis Airway.</pubmed_title><pmcid>PMC6062800</pmcid><funding_grant_id>RTG: NSF-DMS 1148230</funding_grant_id><funding_grant_id>T32HL105321</funding_grant_id><funding_grant_id>R01HL125520</funding_grant_id><funding_grant_id>LIOU14P0</funding_grant_id><funding_grant_id>ARO W911NF-15-1-0400</funding_grant_id><funding_grant_id>CC132-16AD</funding_grant_id><funding_grant_id>U54 CA209978</funding_grant_id><funding_grant_id>MR/M014827/1</funding_grant_id><pubmed_authors>Keogh RH</pubmed_authors><pubmed_authors>Cox DR</pubmed_authors><pubmed_authors>Granchelli AM</pubmed_authors><pubmed_authors>Liou TG</pubmed_authors><pubmed_authors>Kartsonaki C</pubmed_authors><pubmed_authors>Adler FR</pubmed_authors></additional><is_claimable>false</is_claimable><name>Microbial Interactions in the Cystic Fibrosis Airway.</name><description>Interactions in the airway ecology of cystic fibrosis may alter organism persistence and clinical outcomes. Better understanding of such interactions could guide clinical decisions. We used generalized estimating equations to fit logistic regression models to longitudinal 2-year patient cohorts in the Cystic Fibrosis Foundation Patient Registry, 2003 to 2011, in order to study associations between the airway organisms present in each calendar year and their presence in the subsequent year. Models were adjusted for clinical characteristics and multiple observations per patient. Adjusted models were tested for sensitivity to cystic fibrosis-specific treatments. The study included 28,042 patients aged 6 years and older from 257 accredited U.S. care centers and affiliates. These patients had p</description><dates><release>2018-01-01T00:00:00Z</release><publication>2018 Aug</publication><modification>2025-04-04T08:44:19.61Z</modification><creation>2019-03-26T22:39:22Z</creation></dates><accession>S-EPMC6062800</accession><cross_references><pubmed>29769279</pubmed><doi>10.1128/JCM.00354-18</doi><doi>10.1128/jcm.00354-18</doi></cross_references></HashMap>