Novel methods of predicting ionized calcium status from routine data in critical care: External validation in

Ernie Yap1, Jie Ouyang1, Isha Puri1

  • 1Department of Medicine, Downstate Medical Center, State University of New York, 450 Clarkson Ave., Brooklyn, NY, USA.

Insights

New models, Pred-ICa and ProbHYPO, accurately predict ionized calcium (ICa) levels in critical care patients. These models improve upon traditional methods for detecting low ICa, aiding clinical decisions.

Area of Science:

  • Critical care medicine
  • Clinical chemistry
  • Biomarker validation

Background:

  • Low ionized calcium (ICa) is common in critical care but difficult to detect using total calcium (TCa) or albumin-corrected TCa (cTCa).
  • Novel models (Pred-ICa, ProbHYPO) were developed to estimate ICa by adjusting TCa for albumin and anion gap components.
  • Previous models showed promise in internal validation but required external validation.

Purpose of the Study:

  • To externally validate four new anion gap-based models for predicting ionized calcium (ICa).
  • To assess the diagnostic accuracy of these models in identifying low and high ICa in critically ill patients.
  • To compare the performance of new models against albumin-corrected total calcium (cTCa).

Main Methods:

  • Utilized the Medical Information Mart for Intensive Care III (MIMIC-III) database.
  • Included 4105 patients with paired arterial blood gas and chemistry panel measurements.
  • Evaluated four models and cTCa for diagnostic discrimination and agreement with measured ICa.

Main Results:

  • The Pred-ICa and ProbHYPO models demonstrated superior diagnostic discrimination and agreement.
  • These models outperformed cTCa in identifying abnormal ICa levels.
  • External validation in the MIMIC-III cohort confirmed the efficacy of Pred-ICa and ProbHYPO.

Conclusions:

  • Pred-ICa and ProbHYPO models are externally validated and effective for predicting ionized calcium in critical care.
  • These models offer a more efficient approach to determining the need for direct ICa testing.
  • Clinical utility is enhanced by improved accuracy in assessing ICa status.
Abstract