Derivation and evaluation of baseline creatinine equations for hospitalized children and adolescents: the AKI baseline creatinine equation

Braun, Chloe; Rahman, A K M Fazlur; Macomb, Eric; Askenazi, David; Bjornstad, Erica C.

doi:10.1007/s00467-022-05571-9

Cited by 8 publications

(7 citation statements)

References 32 publications

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“…Recently—in a population of children with T1DM onset—we demonstrated that by back-calculating creatinine on the basis of height by a previously validated method [ 10 ], we can obtain a good agreement (kappa = 0.66) with mbSCr. In the current study, we also validated the utilization of the recent ABC formulas [ 12 ]. These formulas were developed in a retrospectively enrolled population of patients aged 0–25 years and hospitalized for any reason.…”

Section: Discussionmentioning

confidence: 88%

“…Therefore, in our opinion, to diagnose AKI in children with T1DM onset and unknown mbSCr, the ABC-cr and ABC-advanced formulas should be preferred [ 12 ]. Considering that the ABC-cr is significantly easier to run on pocket calculators compared with the ABC-advanced formula, it is likely that the ABC-cr formula will find more extensive application in clinical practice.…”

Section: Discussionmentioning

confidence: 99%

“…Considering that the ABC-cr is significantly easier to run on pocket calculators compared with the ABC-advanced formula, it is likely that the ABC-cr formula will find more extensive application in clinical practice. In any case, we developed a calculator on a excel file ( Supplementary File ) [ 12 ], to assist clinicians in their daily clinical practice.…”

Section: Discussionmentioning

confidence: 99%

“…To calculate the ebSCr, we used the new formulas to estimate basal creatinine, as proposed by Braun et al [ 12 ]. More in detail, using the ABC equation: ebSCr = 0.264 × e 0.056xAge ; using the ABC-cr equation: ebSCr = 0.578 × [Cr min ] 0.585 × e 0.0259×Age ; and using ABC-advanced: ebSCr = 0.606 × [Cr min ] 0.5302 × e [–0.0029 × Height + 0.000021 × Height 2 + 0.000732 × Weight − 0.00000387 × Weight 2 + 0.0215 × Age − 0.000455 × Age 2 ].…”

Section: Methodsmentioning

confidence: 99%

“…Recently, Braun et al developed and validated new equations, the AKI baseline creatinine (ABC) equations, for calculating the ebSCr in hospitalized children and adolescents without pre-existing kidney disease [ 12 ]. These authors mainly proposed three equations: the simplified equation (ABC) which considered only age in the formula, the equation including age and minimum creatinine (Cr min ) within the initial 72 h from hospitalization (ABC-cr), and the equation including Cr min within 72 h of admission and height, weight, and age as squared values (ABC-advanced) [ 12 ]. The ABC-cr and ABC-advanced more accurately estimated ebSCr by ≥25% compared with previous methods in a general pediatric population hospitalized for any reason [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

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Diagnostic Performance of the Acute Kidney Injury Baseline Creatinine Equations in Children and Adolescents with Type 1 Diabetes Mellitus Onset

et al. 2022

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Three new equations for calculating the estimated basal serum creatinine (ebSCr) in hospitalized children have been developed: the simplified acute kidney injury (AKI) baseline creatinine (ABC) equation which considered only age in the formula; the equation including age and minimum creatinine (Crmin) within the initial 72 h from hospitalization (ABC-cr); and the equation including Crmin and height, weight, and age as squared values (ABC-advanced). We aimed to test the diagnostic performance of the ABC, ABC-cr and ABC-advanced equations in diagnosing AKI in 163 prospectively enrolled children with type 1 diabetes mellitus (T1DM) onset. We considered measured basal serum creatinine (mbSCr), the creatinine measured 14 days after T1DM onset. AKI was defined by the highest/basal serum creatine (HC/BC) ratio > 1.5. On the basis of the mbSCr, the AKI was diagnosed in 66/163 (40.5%) patients. This prevalence was lower than the prevalence of AKI diagnosed on the basis of ABC ebSCr (122/163 patients; 74.8%) (p < 0.001) and similar to the prevalence of AKI diagnosed on the basis of ABC-cr ebSCr (72/163 patients; 44.2%) (p = 0.5) and to the prevalence of AKI diagnosed on the basis of ABC-advanced ebSCr (69/163; 42.3%) (p = 0.73). AKI determined using ABC ebSCr, ABC-cr ebSCr and ABC-advanced ebSCr showed, respectively, 63.5% (kappa = 0.35; p < 0.001), 87.7% (kappa = 0.75; p < 0.001), and 87.1% (kappa = 0.74; p < 0.001) agreement with AKI determined using mbSCr. Using the HC/BC ratio calculated on the basis of mbSCr as gold standard, for Bland–Altman plots the HC/BC ratio calculated on the basis of ABC formula presented higher bias and wider limits of agreement compared with the HC/BC ratio calculated on the basis of ABC-cr and ABC-advanced formulas. In the receiver–operating characteristics (ROC) curve analysis the HC/BC ratio calculated on the basis of ABC ebSCr presented lower area under the ROC curve (AUROC) (AUROC = 0.89; 95%CI: 0.85–0.95; p < 0.001) compared with HC/BC ratio calculated on the basis of ABC-cr (AUROC = 0.94; 95%CI: 0.91–0.98; p < 0.001) or ABC-advanced ebSCr (AUROC = 0.914; 95%CI: 0.91–0.97; p < 0.001). In both Bland–Altman plots and ROC curve analysis, the ABC-cr and ABC-advanced formulas performed similarly. In conclusion, the ABC-cr and ABC-advanced formulas present very good diagnostic performance toward AKI identification in a population of children with T1DM onset.

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Section: Discussionmentioning

confidence: 88%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%