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<p>In human medicine, estimated glomerular filtration rate (eGFR) is routinely used to assess renal function. In cats, reliable eGFR formulas are not yet available. To test the hypothesis that a human eGFR equation with four metabolites can effectively distinguish cats with different renal functions, two cohorts of cats were retrospectively enrolled. Cohort 1 included 34 colony cats and cohort 2 had 29 client-owned cats. The metabolite markers were quantified in cat serum and renal function was estimated using the adapted equation (eRF<sub>fel</sub>). Receiver Operating Characteristic Area Under the Curve for eRF<sub>fel</sub> as a binary classifier were 0.9714 and 0.9958, and 0.9731 and 0.9643 as a ternary classifier for cohort 1 and cohort 2, respectively. In cohort 1, eRF<sub>fel</sub> was 1.30 ± 0.04 (Mean ± SEM, mL/min/kg), 0.78 ± 0.06, and 0.36 ± 0.05 for healthy control, IRIS CKD stages 1 and 2 (CKD1/2), and stages 3 and 4 (CKD3/4), respectively, and 1.30 ± 0.06, 0.72 ± 0.05, and 0.47 ± 0.04 for healthy control, CKD stage 2, and CKD stage 3 in cohort 2, respectively (both <i>P</i> &lt; 0.0001). Although the original equation was trained on human data, eRF<sub>fel</sub> was associated positively with urine specific gravity, but negatively with serum symmetric dimethylarginine and creatinine in cats (all <i>P</i> &lt; 0.0001). The preliminary results demonstrated the effectiveness of eRF<sub>fel</sub> as a classifier for feline renal function.</p>

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Evaluation of equation as a classifier for kidney function in domestic cats: a proof-of-concept study

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年5月25日

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  • Qinghong Li,
  • Linxing Yao

摘要

In human medicine, estimated glomerular filtration rate (eGFR) is routinely used to assess renal function. In cats, reliable eGFR formulas are not yet available. To test the hypothesis that a human eGFR equation with four metabolites can effectively distinguish cats with different renal functions, two cohorts of cats were retrospectively enrolled. Cohort 1 included 34 colony cats and cohort 2 had 29 client-owned cats. The metabolite markers were quantified in cat serum and renal function was estimated using the adapted equation (eRFfel). Receiver Operating Characteristic Area Under the Curve for eRFfel as a binary classifier were 0.9714 and 0.9958, and 0.9731 and 0.9643 as a ternary classifier for cohort 1 and cohort 2, respectively. In cohort 1, eRFfel was 1.30 ± 0.04 (Mean ± SEM, mL/min/kg), 0.78 ± 0.06, and 0.36 ± 0.05 for healthy control, IRIS CKD stages 1 and 2 (CKD1/2), and stages 3 and 4 (CKD3/4), respectively, and 1.30 ± 0.06, 0.72 ± 0.05, and 0.47 ± 0.04 for healthy control, CKD stage 2, and CKD stage 3 in cohort 2, respectively (both P < 0.0001). Although the original equation was trained on human data, eRFfel was associated positively with urine specific gravity, but negatively with serum symmetric dimethylarginine and creatinine in cats (all P < 0.0001). The preliminary results demonstrated the effectiveness of eRFfel as a classifier for feline renal function.