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Peer-reviewed veterinary case report

Predicting ionized calcium levels in cats from blood tests

By Hodgson, Natasha et al.·Published in Journal of veterinary internal medicine·2019·From Department of Veterinary Clinical Medicine, United States·View original on PubMed

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

Species:
cat

Plain-English summary

A study involving 1,701 cats found that measuring total calcium levels might not accurately reflect the true calcium status in cats. Researchers developed a model to predict the more accurate ionized calcium levels based on various blood test results. This model was highly effective in confirming suspected cases of high calcium (hypercalcemia) and screening for low calcium (hypocalcemia). While the model was very specific, it was less sensitive, meaning it could miss some cases. Overall, this predictive tool can help veterinarians better assess calcium levels in cats when direct measurements are not available.

People also search for: cat high calcium symptoms · cat low calcium treatment · how to test calcium levels 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 480 cats from a different hospital (external set). RESULTS: The final model included tCa, chloride, albumin, cholesterol, creatinine, BUN, body condition score, GGT, age, and potassium. For hypercalcemia, piCa was highly specific (test set: 99.8%; confidence interval [CI]: 99.5-100; external set: 97%; CI: 95.3-98.7) but poorly sensitive (test set: 30.4%; CI: 18.3-42.4; external set: 42.5%; CI: 31.7-53.3). For hypocalcemia, piCa was also highly specific (test set: 81.6%; CI: 78-85; external set: 99.6%; CI: 99-100) but poorly sensitive (test set: 57.6%; CI: 50.6-64.6; external set: 0%). These diagnostic performances were comparable to those of tCa. The upper and lower limits of piCa PI had high sensitivity for detecting ionized hypercalcemia and hypocalcemia, respectively. CONCLUSIONS AND CLINICAL IMPORTANCE: Predicted ionized calcium is useful to confirm suspected hypercalcemia in cats and screen for hypercalcemia and hypocalcemia.

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Original publication on PubMed: https://pubmed.ncbi.nlm.nih.gov/31513308/