Department of Management Science and Engineering, Stanford University, Stanford, CA, USA.
Lucile Packard Children's Hospital Stanford, Palo Alto, CA, USA.
Pediatr Nephrol. 2021 May;36(5):1289-1297. doi: 10.1007/s00467-020-04789-9. Epub 2020 Oct 23.
Current consensus definition for acute kidney injury (AKI) does not specify how baseline serum creatinine should be determined. We assessed how baseline determination impacted AKI incidence and association between AKI and clinical outcomes.
We retrospectively applied empirical (measured serum creatinine) and imputed (age/height) baseline estimation methods to pediatric patients discharged between 2014 and 2019 from an academic hospital. Using each method, we estimated AKI incidence and assessed area under ROC curve (AUROC) for AKI as a predictor of three clinical outcomes: application of AKI billing code (proxy for more clinically overt disease), inpatient mortality, and post-hospitalization chronic kidney disease.
Incidence was highly variable across baseline methods (12.2-26.7%). Incidence was highest when lowest pre-admission creatinine was used if available and Schwartz bedside equation was used to impute one otherwise. AKI was more predictive of application of an AKI billing code when baseline was imputed universally, regardless of pre-admission values (AUROC 80.7-84.9%) than with any empirical approach (AUROC 64.5-76.6%). AKI was predictive of post-hospitalization CKD when using universal imputation baseline methods (AUROC 67.0-74.6%); AKI was not strongly predictive of post-hospitalization CKD when using empirical baseline methods (AUROC 46.4-58.5%). Baseline determination method did not affect the association between AKI and inpatient mortality.
Method of baseline determination influences AKI incidence and association between AKI and clinical outcomes, illustrating the need for standard criteria. Imputing baseline for all patients, even when preadmission creatinine is available, may identify a more clinically relevant subset of the disease.
目前急性肾损伤(AKI)的共识定义并未指定如何确定基线血清肌酐。我们评估了基线确定如何影响 AKI 的发生率以及 AKI 与临床结局之间的关联。
我们回顾性地应用了经验(测量血清肌酐)和推断(年龄/身高)基线估计方法,对 2014 年至 2019 年期间从一家学术医院出院的儿科患者进行了评估。使用每种方法,我们估计了 AKI 的发生率,并评估了 AKI 作为三个临床结局的预测指标的 ROC 曲线下面积(AUROC):AKI 计费代码的应用(更明显临床疾病的替代指标)、住院死亡率和住院后慢性肾脏病。
基线方法之间的发生率差异很大(12.2-26.7%)。如果可用,最低的入院前肌酐值最高,否则使用 Schwartz 床边方程推断,使用经验方法的发生率最高。当普遍推断基线时,AKI 更能预测 AKI 计费代码的应用,而与任何经验方法无关(AUROC 80.7-84.9%)比经验方法更具预测性(AUROC 64.5-76.6%)。当使用普遍推断的基线方法时,AKI 可预测住院后 CKD(AUROC 67.0-74.6%);当使用经验基线方法时,AKI 不能很好地预测住院后 CKD(AUROC 46.4-58.5%)。基线确定方法不影响 AKI 与住院死亡率之间的关联。
基线确定方法会影响 AKI 的发生率以及 AKI 与临床结局之间的关联,这表明需要有标准的标准。即使有入院前肌酐,也可以为所有患者推断基线,这可能会识别出更具临床意义的疾病亚组。