Using information theory to optimize a diagnostic threshold to match physician-ordering practice.

ABSTRACT:

Objective

Clinicians order laboratory tests in an effort to reduce diagnostic or therapeutic uncertainty. Information theory provides the opportunity to quantify the degree to which a test result is expected to reduce diagnostic uncertainty. We sought to apply information theory toward the evaluation and optimization of a diagnostic test threshold and to determine if the results would differ from those of conventional methodologies. We used a heparin/PF4 immunoassay (PF4 ELISA) as a case study.

Materials and methods

The laboratory database was queried for PF4 ELISA and serotonin release assay (SRA) results during the study period, with the latter serving as the gold standard for the disease heparin-induced thrombocytopenia (HIT). The optimized diagnostic threshold of the PF4

SUBMITTER: Zaydman MA 

PROVIDER: S-EPMC8299712 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature