Development and validation of a multivariate predictive model to estimate serum ionized calcium concentration from serum biochemical profile results in cats.

ABSTRACT:

Background

Measurement of serum ionized calcium is not always available in practice. Total calcium (tCa) might not be reliable for determination of calcium status in cats.

Objectives

To predict serum ionized calcium concentration from signalment, biochemistry profile and T4, and compare predicted ionized calcium (piCa) to tCa.

Animals

A total of 1701 cats from two hospitals.

Methods

Cross-sectional study. Cats with serum ionized calcium, biochemistry profile and T4 available were screened over 6 years and included in the training set (569 cats) to create a multivariate adaptive regression splines model to calculate piCa. Diagnostic performances of tCa and piCa and its prediction interval (PI) were compared in 652 cats from the same institution (test set) and 48

SUBMITTER: Hodgson N 

PROVIDER: S-EPMC6766530 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature