Abstract：
BACKGROUND: Acute kidney injury (AKI) diagnosis often lacks a baseline serum creatinine (Cr) value. Our study aimed to create a regression equation linking kidney morphology to function in kidney donors and chronic kidney disease patients. We also sought to estimate baseline Cr in minimal change disease (MCD) patients, a common AKI-predisposing condition.
METHODS: We analyzed 119 participants (mean age 60 years, 50% male, 40% donors) with CT scans, dividing them into derivation and validation groups. An equation based on kidney parenchymal volume (PV) was developed in the derivation group and validated in the validation group. We estimated baseline Cr in 43 MCD patients (mean age 45 years, 61% male) using the PV-based equation and compared with their 6 month post-MCD onset Cr values.
RESULTS: In the derivation group, the equation for the estimated glomerular filtration rate (eGFR) was: eGFR (mL/min/1.73m2) = 0.375 × PV (cm3) + (- 0.395) × age (years) + (- 2.93) × male sex + (- 13.3) × hypertension + (- 14.0) × diabetes + (- 0.210) × height (cm) + 82.0 (intercept). In the validation group, the eGFR and estimated Cr values correlated well with the measured values (r = 0.46, p = 0.01; r = 0.51, p = 0.004, respectively). In the MCD group, the baseline Cr values were significantly correlated with the estimated baseline Cr values (r = 0.52, p < 0.001), effectively diagnosing AKI (kappa = 0.76, p < 0.001).
CONCLUSIONS: The PV-based regression equation established in this study holds promise for estimating baseline Cr values and diagnosing AKI in patients with MCD. Further validation in diverse AKI populations is warranted.
METHODS: We analyzed 119 participants (mean age 60 years, 50% male, 40% donors) with CT scans, dividing them into derivation and validation groups. An equation based on kidney parenchymal volume (PV) was developed in the derivation group and validated in the validation group. We estimated baseline Cr in 43 MCD patients (mean age 45 years, 61% male) using the PV-based equation and compared with their 6 month post-MCD onset Cr values.
RESULTS: In the derivation group, the equation for the estimated glomerular filtration rate (eGFR) was: eGFR (mL/min/1.73m2) = 0.375 × PV (cm3) + (- 0.395) × age (years) + (- 2.93) × male sex + (- 13.3) × hypertension + (- 14.0) × diabetes + (- 0.210) × height (cm) + 82.0 (intercept). In the validation group, the eGFR and estimated Cr values correlated well with the measured values (r = 0.46, p = 0.01; r = 0.51, p = 0.004, respectively). In the MCD group, the baseline Cr values were significantly correlated with the estimated baseline Cr values (r = 0.52, p < 0.001), effectively diagnosing AKI (kappa = 0.76, p < 0.001).
CONCLUSIONS: The PV-based regression equation established in this study holds promise for estimating baseline Cr values and diagnosing AKI in patients with MCD. Further validation in diverse AKI populations is warranted.
摘要：
背景：急性肾损伤（AKI）诊断通常缺乏基线血清肌酐（Cr）值。我们的研究旨在建立一个回归方程，将肾脏形态与肾脏供体和慢性肾脏疾病患者的功能联系起来。我们还试图估计微小病变（MCD）患者的基线Cr，常见的AKI易感状况。
方法：我们分析了119名参与者(平均年龄60岁，50%男性,40%的捐献者)进行CT扫描，将它们划分为派生和验证组。在推导组中建立了基于肾实质体积（PV）的方程，并在验证组中进行了验证。我们估计了43例MCD患者的基线Cr(平均年龄45岁，61％男性）使用基于PV的方程，并将其与MCD发病后6个月的Cr值进行比较。
结果：在派生组中，估计肾小球滤过率(eGFR)的公式为:eGFR(mL/min/1.73m2)=0.375×PV(cm3)+(-0.395)×年龄(岁)+(-2.93)×男性+(-13.3)×高血压+(-14.0)×糖尿病+(-0.210)×身高(cm)+82.0(截距).在验证组中，eGFR和估计的Cr值与测量值密切相关（分别为r=0.46，p=0.01；r=0.51，p=0.004）。在MCD组中,基线Cr值与估计的基线Cr值显着相关（r=0.52，p<0.001），有效诊断AKI（κ=0.76，p<0.001）。
结论：本研究中建立的基于PV的回归方程有望用于估计MCD患者的基线Cr值和诊断AKI。在不同的AKI群体中进一步验证是必要的。
方法：我们分析了119名参与者(平均年龄60岁，50%男性,40%的捐献者)进行CT扫描，将它们划分为派生和验证组。在推导组中建立了基于肾实质体积（PV）的方程，并在验证组中进行了验证。我们估计了43例MCD患者的基线Cr(平均年龄45岁，61％男性）使用基于PV的方程，并将其与MCD发病后6个月的Cr值进行比较。
结果：在派生组中，估计肾小球滤过率(eGFR)的公式为:eGFR(mL/min/1.73m2)=0.375×PV(cm3)+(-0.395)×年龄(岁)+(-2.93)×男性+(-13.3)×高血压+(-14.0)×糖尿病+(-0.210)×身高(cm)+82.0(截距).在验证组中，eGFR和估计的Cr值与测量值密切相关（分别为r=0.46，p=0.01；r=0.51，p=0.004）。在MCD组中,基线Cr值与估计的基线Cr值显着相关（r=0.52，p<0.001），有效诊断AKI（κ=0.76，p<0.001）。
结论：本研究中建立的基于PV的回归方程有望用于估计MCD患者的基线Cr值和诊断AKI。在不同的AKI群体中进一步验证是必要的。
