Published online Jul 9, 2021. doi: 10.5409/wjcp.v10.i4.72
Peer-review started: January 20, 2021
First decision: February 15, 2021
Revised: February 16, 2021
Accepted: April 20, 2021
Article in press: April 20, 2021
Published online: July 9, 2021
The indirect methods of reference intervals (RI) establishment based on data mining are utilized to overcome the ethical, practical challenges and the cost associated with the conventional direct approach.
To generate RIs for serum creatinine in children and adolescents using an indirect statistical tool.
Data mining of the laboratory information system was performed for serum creatinine analyzed from birth to 17 years for both genders. The timeline was set at six years from January 2013 to December 2018. Microsoft Excel 2010 and an indirect algorithm developed by the German Society of Clinical Chemistry and Laboratory Medicine’s Working Group on Guide Limits were used for the data analysis.
Data were extracted from 96104 samples and after excluding multiple samples for the same individual, we calculated RIs for 21920 males and 14846 females, with stratification into six discrete age groups.
Serum creatinine dynamics varied significantly across gender and age groups.
Core Tip: Good laboratory practices advocate the necessity for generation of population specific reference intervals (RIs). The indirect methods of RIs establishment based on data mining are utilized to overcome the ethical, practical challenges and the cost associated with the conventional direct approach. The population specific RIs generated for pediatric serum creatinine levels in this study will assist in more accurate comprehension of the variations in creatinine and facilitate patient care.