ArticleAnnals of clinical biochemistry2023
Factors influencing the derivation and clinical application of blood calcium adjustment equations.
Article in Annals of clinical biochemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- A New Machine Learning Approach for Actual Calcium Measurement.Indian journal of clinical biochemistry : IJCB · 2025Article
- [Significance and methodology of monitoring calcemia in disorders of mineral metabolism: challenges and prospects].Problemy endokrinologii · 2024Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLaboratories are recommended to use patient data to derive their local adjusted calcium (adjCa) equation, using numerous criteria to exclude patients with potential calcium metabolism abnormalities. It is not known which, if any, of the exclusions influence the final equation formula, or to what extent. This study investigated the effect using fewer exclusions has on adjCa equations and on patient results when compared to a reference equation.
methodsA reference ACB adjCa equation was derived from the total calcium and albumin pairs of 1305 individuals who, from an initial 22,906 adults, met recommended criteria (excluding abnormalities in either calcium, albumin, creatinine, magnesium, ALP or ALT, and specific clinical areas). This reference equation was compared to seven alternatives derived using fewer criteria, including one with no exclusions. All equations were applied to a validation cohort (
resultsMost alternative adjCa equations, including the one without any exclusions, showed no statistical (
conclusionsWhen deriving adjCa equations, most exclusion criteria have little influence on the equation or patient results, including using none at all. This knowledge could simplify deployment of local equations.
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