{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,8]],"date-time":"2026-09-08T12:30:00Z","timestamp":1788870600214,"version":"build-2803163510"},"reference-count":26,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2015,3,30]],"date-time":"2015-03-30T00:00:00Z","timestamp":1427673600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100007520","name":"Nationwide Children's Hospital","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100007520","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Pediatric Pulmonology"],"published-print":{"date-parts":[[2015,8]]},"abstract":"<jats:title>Summary<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Emerging evidence suggests that the prevalence of pathogens common in cystic fibrosis (CF) may be unevenly distributed across the United States (U.S.). However, very little is known regarding the U.S. distribution of other CF modifiers such as medication usage and patient demographics. Therefore, we sought to determine if regional differences exist in the distribution of demographic variables and patient disease characteristics in the U.S. that may play a role in differential CF outcomes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Data were analyzed from the 30,896 subjects in the U.S. CF Foundation Patient Registry during the years 2007\u20132012, via geographical grouping of states based upon the Nationwide Inpatient Sample classification.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Significant differences in racial distribution were seen, including half of the total U.S. African\u2013American CF population residing in the South. Both African\u2013Americans and Hispanics had increased Medicaid usage (52.2%, 41.8%, respectively). Culture\u2010reported pathogens were markedly different across the U.S., with the highest percentage of patients with Methicillin\u2010resistant\n                      <jats:italic>Staphylococcus aureus<\/jats:italic>\n                      (41.9%),\n                      <jats:italic>Pseudomonas aeruginosa<\/jats:italic>\n                      (71.2%), and non\u2010tuberculous mycobacterium (10.0%) in the South. The South region also had the lowest mean body mass index and forced expiratory volume in one second. Chronic medication usage such as inhaled tobramycin or macrolides followed\n                      <jats:italic>P. aeruginosa<\/jats:italic>\n                      distribution, while inhaled dornase alfa was most used in the West (84.7%). Co\u2010morbid conditions varied, with the highest percentage of depressed subjects in the Midwest (18.3%). Mean regional mortality rates were not statistically different among regions, although highest in each age grouping of the South.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>\n                      The U.S. has significant regional variations in CF demographics, insurance, pathogens, medication usage, and co\u2010morbidities, without an overall impact on regional mortality. Regional variations in care practices should be studied further based on the findings.\n                      <jats:bold>Pediatr Pulmonol. 2015; 50:754\u2013762.<\/jats:bold>\n                      \u00a9 2015 Wiley Periodicals, Inc.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/ppul.23185","type":"journal-article","created":{"date-parts":[[2015,3,30]],"date-time":"2015-03-30T22:46:19Z","timestamp":1427755579000},"page":"754-762","source":"Crossref","is-referenced-by-count":31,"title":["Geographic variations in cystic fibrosis: An analysis of the U.S. CF Foundation Registry"],"prefix":"10.1002","volume":"50","author":[{"given":"Benjamin T.","family":"Kopp","sequence":"first","affiliation":[{"name":"Section of Pulmonary Medicine Nationwide Children's Hospital Columbus Ohio"},{"name":"Center for Microbial Pathogenesis The Research Institute at Nationwide Children's Hospital Columbus Ohio"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lisa","family":"Nicholson","sequence":"additional","affiliation":[{"name":"Institute for Population Research The Ohio State University Columbus Ohio"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Grace","family":"Paul","sequence":"additional","affiliation":[{"name":"Section of Pulmonary Medicine Nationwide Children's Hospital Columbus Ohio"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joseph","family":"Tobias","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology &amp; Pain Medicine Nationwide Children's Hospital Columbus Ohio"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chandar","family":"Ramanathan","sequence":"additional","affiliation":[{"name":"Section of Pulmonary Medicine Nationwide Children's Hospital Columbus Ohio"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"suffix":"Jr.","given":"Don","family":"Hayes","sequence":"additional","affiliation":[{"name":"Section of Pulmonary Medicine Nationwide Children's Hospital Columbus Ohio"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2015,3,30]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1136\/bmjqs-2013-002363"},{"key":"e_1_2_7_3_1","first-page":"2014","article-title":"Cystic Fibrosis Foundation","journal-title":"2013 Patient Registry Data Report"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmoldx.2013.05.006"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.1093\/aje\/kwu077"},{"key":"e_1_2_7_6_1","doi-asserted-by":"publisher","DOI":"10.1002\/ppul.21535"},{"key":"e_1_2_7_7_1","doi-asserted-by":"publisher","DOI":"10.1164\/rccm.200306-779OC"},{"key":"e_1_2_7_8_1","doi-asserted-by":"publisher","DOI":"10.1080\/09603123.2012.708917"},{"key":"e_1_2_7_9_1","doi-asserted-by":"publisher","DOI":"10.1002\/ppul.21368"},{"key":"e_1_2_7_10_1","unstructured":"Agency for Healthcare Research and Quality: Healthcare Cost and Utilization Project."},{"key":"e_1_2_7_11_1","doi-asserted-by":"crossref","first-page":"789","DOI":"10.1080\/01621459.1980.10477551","article-title":"Pairwise multiple comparisons in the homogeneous variance, unequal sample size case","author":"Dunnett CW","year":"1980","journal-title":"J Am Statist Assoc"},{"key":"e_1_2_7_12_1","doi-asserted-by":"publisher","DOI":"10.1053\/ajkd.2001.27702"},{"key":"e_1_2_7_13_1","doi-asserted-by":"publisher","DOI":"10.2147\/COPD.S19945"},{"key":"e_1_2_7_14_1","doi-asserted-by":"publisher","DOI":"10.1513\/AnnalsATS.201209-077OC"},{"key":"e_1_2_7_15_1","doi-asserted-by":"publisher","DOI":"10.1093\/aje\/kwu077"},{"key":"e_1_2_7_16_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0027784"},{"key":"e_1_2_7_17_1","doi-asserted-by":"publisher","DOI":"10.1111\/1469-0691.12272"},{"key":"e_1_2_7_18_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0052722"},{"key":"e_1_2_7_19_1","doi-asserted-by":"publisher","DOI":"10.1002\/ppul.21037"},{"key":"e_1_2_7_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpeds.2013.11.064"},{"key":"e_1_2_7_21_1","doi-asserted-by":"publisher","DOI":"10.1378\/chest.116.3.639"},{"key":"e_1_2_7_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jad.2013.02.014"},{"key":"e_1_2_7_23_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00127-012-0503-z"},{"key":"e_1_2_7_24_1","unstructured":"FoundationHJKFDisparities Policy.2014. 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