Data Analytics Research Evaluation (DARE) Centre, Austin Hospital and University of Melbourne, Heidelberg, Victoria, Australia.
Department of Critical Care, University of Melbourne, Melbourne, Victoria, Australia.
Nephrology (Carlton). 2022 Jul;27(7):588-600. doi: 10.1111/nep.14047. Epub 2022 May 24.
Baseline serum creatinine values are required to diagnose acute kidney injury but are often unavailable. We evaluated four conventional equations to estimate creatinine. We then developed and validated a new equation corrected by age and gender.
We retrospectively examined adults who, at first hospital admission, had available baseline creatinine data and developed acute kidney injury ≥24 h after admission. We split the study population: 50% (derivation) to develop a new linear equation and 50% (validation) to compare against conventional equations for bias, precision, and accuracy. We stratified analyses by age and gender.
We studied 3139 hospitalized adults (58% male, median age 71). Conventional equations performed poorly in bias and accuracy in patients aged <60 or ≥75 (68% of the study population). The new linear equation had less bias and more accuracy. There were no clinically significant differences in precision. The median (95% confidence interval) difference in creatinine values estimated via the new equation minus measured baselines was 0.9 (-3.0, 5.9) and -0.5 (-7.0, 3.7) μmol/L in female patients 18-60 and 75-100, and -1.5 (-4.2, 2.2) and -7.8 (-12.7, -3.6) μmol/L in male patients 18-60 and 75-100, respectively. The new equation improved reclassification of KDIGO AKI stages compared to the MDRD II equation by 5.0%.
Equations adjusted for age and gender are less biased and more accurate than unadjusted equations. Our new equation performed well in terms of bias, precision, accuracy, and reclassification.
诊断急性肾损伤需要基线血清肌酐值,但通常无法获得。我们评估了四种常规方程来估计肌酐。然后我们开发并验证了一种新的通过年龄和性别校正的方程。
我们回顾性地检查了在首次入院时就有基线肌酐数据且在入院后≥24 小时发生急性肾损伤的成年患者。我们将研究人群分为 50%(推导)用于开发新的线性方程和 50%(验证)用于与常规方程进行比较,以评估偏差、精度和准确性。我们按年龄和性别进行分层分析。
我们研究了 3139 名住院成年患者(58%为男性,中位年龄为 71 岁)。在年龄<60 岁或≥75 岁的患者中,常规方程在偏差和准确性方面表现不佳(占研究人群的 68%)。新的线性方程偏差更小,准确性更高。在精度方面没有明显的临床差异。通过新方程估计的肌酐值与实测基线值之间的中位数(95%置信区间)差值在 18-60 岁和 75-100 岁的女性患者中分别为 0.9(-3.0,5.9)和-0.5(-7.0,3.7)μmol/L,在 18-60 岁和 75-100 岁的男性患者中分别为-1.5(-4.2,2.2)和-7.8(-12.7,-3.6)μmol/L。与 MDRD II 方程相比,新方程改善了 KDIGO AKI 分期的重新分类,差异为 5.0%。
与未调整的方程相比,年龄和性别调整的方程偏差更小,准确性更高。我们的新方程在偏差、精度、准确性和重新分类方面表现良好。