Screening Algorithm for Late Diagnosed Cystic Fibrosis

Published: 31 January 2023| Version 2 | DOI: 10.17632/v8hnjy933n.2


Attached are two data files for the Data Repository: the Development Database and the Validation Database. There were 174 study patients in the study. The two databases were created by randomly assigning 87 patients to a development cohort and 87 patients to a validation cohort. The data for the development cohort was used in estimating the parameters of the logistic regression models on which the screening algorithm is based. The data for the validation cohort was used in comparing the predictive accuracy of the screening algorithm in referring patients for CF testing with that of clinical judgment.


Steps to reproduce

Data was collected through retrospective chart review and managed using REDCap electronic data capture tools hosted at SBCH and MS excel (Version 16.0.14931.20132). MS excel solver and IBM SPSS (Version was used to perform the statistical analysis.


Santa Barbara Cottage Hospital


Clinical Aspects of Cystic Fibrosis