Clinique Vétérinaire Armonia - Internal Medicine Unit, Villefontaine, France.
Department of Clinical Pathology, VetAgro Sup - Campus Vétérinaire, Marcy l'Etoile, France.
Res Vet Sci. 2021 Mar;135:121-126. doi: 10.1016/j.rvsc.2021.01.009. Epub 2021 Jan 9.
A simple and intuitive formula for the estimation of urine osmolality (U) using the measured concentrations of major active urine osmolytes over a wide range of urine dilutions was proposed in healthy cats. Sixty-three urine samples were retrieved using ultrasound-guided cystocentesis from sixteen healthy cats under 5 years of age receiving intravenous infusion over a period of 24 h. Samples were collected at baseline (T), T, T, T, and T. Urine osmolality was measured using a freezing-point osmometer, and the concentrations of osmolytes (urea, sodium, glucose, and potassium) were evaluated. A simple linear regression model for a clinical use was selected, and the agreement between the calculated and actual urine osmolalities was assessed. Urinary concentrations of urea, sodium and glucose were the three variables included in the model with the lowest AIC. Urine osmolality can be predicted accurately and precisely using urine urea, sodium and glucose with the following equation: U = 1.25 × urea (mmol/l) or 20.87 × urea (g/l) + 1.1 × sodium (mmol/l) + 67 × glucose (mmol/l) or 3.72 × glucose (mg/dl). The concordance correlation coefficient for repeated measures between the actual and the calculated urine osmolality was extremely close to 1, which supported a high agreement: 0.996 (CI 95%: [0.993; 0.998]). In a population of healthy cats, urine osmolality can be predicted accurately and precisely using urinary urea, sodium and glucose concentrations. Similar formulae could potentially be established to help the clinician in pathological situations.
在健康猫中提出了一种简单直观的公式,用于根据广泛的尿液稀释范围内测量的主要活性尿液渗透压溶质浓度来估算尿液渗透压(U)。使用超声引导的膀胱穿刺术从 16 只年龄在 5 岁以下接受静脉输液 24 小时的健康猫中获得了 63 个尿液样本。在基线(T),T,T,T 和 T 时采集样本。使用冰点渗透压计测量尿液渗透压,并评估渗透压溶质(尿素,钠,葡萄糖和钾)的浓度。选择了用于临床使用的简单线性回归模型,并评估了计算出的和实际尿液渗透压之间的一致性。模型中包含的三个变量是尿液中尿素,钠和葡萄糖的浓度,其 AIC 最低。使用以下方程可以准确,精确地预测尿液渗透压:U = 1.25×urea(mmol / l)或 20.87×urea(g / l)+ 1.1×sodium(mmol / l)+ 67×glucose(mmol / l)或 3.72×glucose(mg / dl)。实际和计算出的尿液渗透压之间的重复测量的一致性相关系数非常接近 1,表明高度一致:0.996(CI 95%:[0.993; 0.998])。在健康猫的人群中,可以使用尿液中尿素,钠和葡萄糖的浓度准确,精确地预测尿液渗透压。类似的公式可能会被建立以帮助临床医生在病理情况下。