Use of height-independent baseline creatinine imputation method with renal angina index.
Acute kidney injury
Baseline
Creatinine
Height-independent
Renal angina index
Journal
Pediatric nephrology (Berlin, Germany)
ISSN: 1432-198X
Titre abrégé: Pediatr Nephrol
Pays: Germany
ID NLM: 8708728
Informations de publication
Date de publication:
10 2019
10 2019
Historique:
received:
23
01
2019
accepted:
11
06
2019
revised:
06
05
2019
pubmed:
10
7
2019
medline:
1
8
2020
entrez:
10
7
2019
Statut:
ppublish
Résumé
The Renal Angina Index (RAI) is a validated screening tool used at 12 h of pediatric intensive care unit (PICU) admission to predict severe acute kidney injury (AKI) on day 3 of PICU stay. A measured or height-imputed baseline serum creatinine (SCr) is required for AKI diagnosis and RAI calculation, yet these are often lacking. We assessed an age-based, height-independent baseline SCr calculation and compared the RAI values employing this method to their historical counterpart. An electronic algorithm was implemented to generate RAI score for patients admitted to our PICU. We reviewed 157 consecutive patient records from May 2017, until we cumulated 100 with a valid RAI calculation. We compared RAI scores using the age-based SCr imputation method of Pottel to the historical RAI. Our primary outcome was a difference in the rate of RAI fulfillment (≥ 8) reclassification between methods. Of the first 100 patients, 27 had measured baseline SCr and 73 used height imputation. Only two patients had RAI reclassified with the Pottel method (one in each direction). Being small for age or older were associated with ≥ 25% overestimation of the baseline SCr in 20 patients with the Pottel method compared with height imputation. 15/157 patients had a falsely positive RAI due to lack of measured baseline SCr and height. The age-based method to estimate baseline SCr offers a viable height-independent alternative for RAI calculation. While less precise than a height-based approach, this lack of precision rarely leads to reclassification of patient RAI status.
Sections du résumé
BACKGROUND
The Renal Angina Index (RAI) is a validated screening tool used at 12 h of pediatric intensive care unit (PICU) admission to predict severe acute kidney injury (AKI) on day 3 of PICU stay. A measured or height-imputed baseline serum creatinine (SCr) is required for AKI diagnosis and RAI calculation, yet these are often lacking. We assessed an age-based, height-independent baseline SCr calculation and compared the RAI values employing this method to their historical counterpart.
METHODS
An electronic algorithm was implemented to generate RAI score for patients admitted to our PICU. We reviewed 157 consecutive patient records from May 2017, until we cumulated 100 with a valid RAI calculation. We compared RAI scores using the age-based SCr imputation method of Pottel to the historical RAI. Our primary outcome was a difference in the rate of RAI fulfillment (≥ 8) reclassification between methods.
RESULTS
Of the first 100 patients, 27 had measured baseline SCr and 73 used height imputation. Only two patients had RAI reclassified with the Pottel method (one in each direction). Being small for age or older were associated with ≥ 25% overestimation of the baseline SCr in 20 patients with the Pottel method compared with height imputation. 15/157 patients had a falsely positive RAI due to lack of measured baseline SCr and height.
CONCLUSION
The age-based method to estimate baseline SCr offers a viable height-independent alternative for RAI calculation. While less precise than a height-based approach, this lack of precision rarely leads to reclassification of patient RAI status.
Identifiants
pubmed: 31286243
doi: 10.1007/s00467-019-04294-8
pii: 10.1007/s00467-019-04294-8
pmc: PMC6776697
mid: NIHMS1044438
doi:
Substances chimiques
Biomarkers
0
Creatinine
AYI8EX34EU
Types de publication
Evaluation Study
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1777-1784Subventions
Organisme : NIDDK NIH HHS
ID : P50 DK096418
Pays : United States
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