Machine learning analysis of continuous glucose monitoring identifies a novel dysglycemic phenotype found in most people with cystic fibrosis.

Abstract excerpt

BACKGROUND: Cystic fibrosis related diabetes (CFRD) is a common complication in people with cystic fibrosis (PwCF), yet traditional diagnostic tools such as fasting glucose, HbA1c, and the oral glucose tolerance test (OGTT) often fail to detect early dysglycemia. Continuous glucose monitoring (CGM) generates high resolution glucose data, but analytic methods for extracting meaningful phenotypes remain limited....

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