ease cohort. Methods Included were patients with ≥1 height-adjusted total kidney volume (HtTKV) measurement and ≥3 eGFR values during ≥1-year follow-up. Mayo HtTKV class stability, kidney growth rates, and eGFR decline rates were calculated. The observed eGFR decline was compared with predictions from the Mayo Clinic future eGFR equation. The future eGFR prediction equation was also tested for nonlinear eGFR decline. Kaplan–Meier survival analysis and Cox regression models were used to assess time to kidney failure using Mayo HtTKV class as a predictor variable. Results We analyzed 618 patients with a mean age of 47±11 years and mean eGFR of 64±25 ml/min per 1.73 m2 at baseline. Most patients (82%) remained in their baseline Mayo HtTKV class. During a mean follow-up of 5.1±2.2 years, the mean total kidney volume growth rates and eGFR decline were 5.33%±3.90%/yr and −3.31±2.53 ml/min per 1.73 m2 per year, respectively. Kidney growth and eGFR decline showed considerable overlap between the classes. The observed annual eGFR decline was not significantly different from the predicted values for classes 1A, 1B, 1C, and 1D but significantly slower for class 1E. This was also observed in patients aged younger than 40 years and older than 60 years and those with PKD2 mutations. A polynomial model allowing nonlinear eGFR decline provided more accurate slope predictions. Ninety-seven patients (16%) developed kidney failure during follow-up. The classification predicted the development of kidney failure, although the sensitivity and positive predictive values were limited. Conclusions The Mayo Imaging Classification demonstrated acceptable stability and generally predicted kidney failure and eGFR decline rate. However, there was marked interindividual variability in the rate of disease progression within each class....

中文翻译：

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预测 ADPKD 肾脏结局的 Mayo 影像分类系统的验证

缓解队列。方法 纳入的患者在 ≥1 年的随访期间，身高调整总肾体积 (HtTKV) 测量值≥1，eGFR 值≥3。计算了 Mayo HtTKV 类别稳定性、肾脏增长率和 eGFR 下降率。将观察到的 eGFR 下降与 Mayo Clinic 未来 eGFR 方程的预测进行比较。未来的 eGFR 预测方程也针对非线性 eGFR 下降进行了测试。 Kaplan-Meier 生存分析和 Cox 回归模型用于评估肾衰竭时间，并使用 Mayo HtTKV 类别作为预测变量。结果 我们分析了 618 名患者，基线时平均年龄为 47±11 岁，平均 eGFR 为每 1.73 m2 64±25 ml/min。大多数患者 (82%) 仍处于 Mayo HtTKV 基线水平。在平均5.1±2.2年的随访期间，平均总肾体积增长率和eGFR下降分别为每年每1.73平方米5.33%±3.90%和-3.31±2.53毫升/分钟。肾脏生长和 eGFR 下降显示各类别之间有相当大的重叠。观察到的年度 eGFR 下降与 1A、1B、1C 和 1D 类的预测值没有显着差异，但 1E 类的下降速度明显较慢。在年龄小于 40 岁和大于 60 岁的患者以及具有 PKD2 突变的患者中也观察到了这一点。允许非线性 eGFR 下降的多项式模型提供了更准确的斜率预测。 97 名患者 (16%) 在随访期间出现肾衰竭。尽管敏感性和阳性预测值有限，但该分类预测了肾衰竭的发展。结论 Mayo 影像分类表现出可接受的稳定性，并普遍预测肾衰竭和 eGFR 下降率。然而，每个类别内的疾病进展率存在明显的个体差异......