Dataset Information

Prospective multicenter randomized patient recruitment and sample collection to enable future measurements of sputum biomarkers of inflammation in an observational study of cystic fibrosis.

ABSTRACT:

Background

Biomarkers of inflammation predictive of cystic fibrosis (CF) disease outcomes would increase the power of clinical trials and contribute to better personalization of clinical assessments. A representative patient cohort would improve searching for believable, generalizable, reproducible and accurate biomarkers.

Methods

We recruited patients from Mountain West CF Consortium (MWCFC) care centers for prospective observational study of sputum biomarkers of inflammation. After informed consent, centers enrolled randomly selected patients with CF who were clinically stable sputum producers, 12 years of age and older, without previous organ transplantation.

Results

From December 8, 2014 through January 16, 2016, we enrolled 114 patients (53 male) with CF with continuing data collection. Baseline characteristics included mean age 27 years (SD = 12), 80% predicted forced expiratory volume in 1 s (SD = 23%), 1.0 prior year pulmonary exacerbations (SD = 1.2), home elevation 328 m (SD = 112) above sea level. Compared with other patients in the US CF Foundation Patient Registry (CFFPR) in 2014, MWCFC patients had similar distribution of sex, age, lung function, weight and rates of exacerbations, diabetes, pancreatic insufficiency, CF-related arthropathy and airway infections including methicillin-sensitive or -resistant Staphylococcus aureus, Pseudomonas aeruginosa, Burkholderia cepacia complex, fungal and non-tuberculous Mycobacteria infections. They received CF-specific treatments at similar frequencies.

Conclusions

Randomly-selected, sputum-producing patients within the MWCFC represent sputum-producing patients in the CFFPR. They have similar characteristics, lung function and frequencies of pulmonary exacerbations, microbial infections and use of CF-specific treatments. These findings will plausibly make future interpretations of quantitative measurements of inflammatory biomarkers generalizable to sputum-producing patients in the CFFPR.

SUBMITTER: Liou TG

PROVIDER: S-EPMC6485181 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

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Publications

Prospective multicenter randomized patient recruitment and sample collection to enable future measurements of sputum biomarkers of inflammation in an observational study of cystic fibrosis.

Liou Theodore G TG Adler Frederick R FR Argel Natalia N Asfour Fadi F Brown Perry S PS Chatfield Barbara A BA Daines Cori L CL Durham Dixie D Francis Jessica A JA Glover Barbara B Heynekamp Theresa T Hoidal John R JR Jensen Judy L JL Keogh Ruth R Kopecky Carol M CM Lechtzin Noah N Li Yanping Y Lysinger Jerimiah J Molina Osmara O Nakamura Craig C Packer Kristyn A KA Poch Katie R KR Quittner Alexandra L AL Radford Peggy P Redway Abby J AJ Sagel Scott D SD Sprandel Shawna S Taylor-Cousar Jennifer L JL Vroom Jane B JB Yoshikawa Ryan R Clancy John P JP Elborn J Stuart JS Olivier Kenneth N KN Cox David R DR

BMC medical research methodology 20190426 1

<h4>Background</h4>Biomarkers of inflammation predictive of cystic fibrosis (CF) disease outcomes would increase the power of clinical trials and contribute to better personalization of clinical assessments. A representative patient cohort would improve searching for believable, generalizable, reproducible and accurate biomarkers.<h4>Methods</h4>We recruited patients from Mountain West CF Consortium (MWCFC) care centers for prospective observational study of sputum biomarkers of inflammation. Af ...[more]

PMID: 31027503

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Dataset Information

Prospective multicenter randomized patient recruitment and sample collection to enable future measurements of sputum biomarkers of inflammation in an observational study of cystic fibrosis.

Background

Methods

Results

Conclusions

Publications

Prospective multicenter randomized patient recruitment and sample collection to enable future measurements of sputum biomarkers of inflammation in an observational study of cystic fibrosis.

Similar Datasets

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