Affiliation:
1. Laboratory Medicine Unit, Department of Medicine DIMED University of Padova Padova Italy
2. Paediatric Diabetes Unit, Department of Women's and Children's Health University Hospital of Padova Padova Italy
Abstract
AbstractObjectivesEstablishing direct reference intervals (RIs) for paediatric patients is a very challenging endeavour. Indirect RIs can address this problem, using existing clinical laboratory databases from real‐world data research. Compared to the traditional direct method, the indirect approach is highly practical, widely applicable, and low‐cost. Considering the relevance of dyslipidemia in the paediatric age, to provide better laboratory services to the local paediatric population, we established population‐specific lipid RIs via data mining.MethodsOur laboratory information system was searched for cholesterol (TC), triglycerides (TG), low‐density lipoprotein (LDL) and high‐density lipoprotein (HDL) of patients aged less than 18 years, performed from January 2009 until December 2022. RIs were estimated using RefineR algorithm.ResultsValues from 215,594 patients were initially collected. After refining data on the basis of specific exclusion criteria that left 17,933 patients, we determined the RIs for each analyte, including corresponding 95% confidence interval (95% CI). Age and sex partitions were required for proper stratification of the heterogenous subpopulations. Age‐related variations in TC and TG values were observed mainly in children until 5 years. RIs were defined for children less than 3 years and for those of 3–18 years. In our population, the obtained RIs were comparable with those of the literature, but the upper TG limit in subjects under the age of 3 (2.03 mmol/L with 95% CI: 1.45–2.86) was lower than that previously reported.ConclusionsOur RIs, necessary for paediatric lipid monitoring, are tailored to the serviced patient population as should be done whenever possible.