Objectives: Reference values are highly required parameters for all tests in the clinical laboratory, and the supplementary provision of reliable reference intervals is an important task for both clinical laboratories and diagnostic test manufacturers. Despite the progress that has been made in the conceptual aspects of reference intervals, in practice their use is still not completely satisfactory. Most of the laboratories have used various methods to calculate statistic-based reference intervals, and they have mainly focused on extracted data, yet its use is considerably limited. We had to deal with the inconvenience of using a number of programs (SPSS or SAS, MS Excel) in order to calculate the results of reference intervals.
Methods: In order to obtain standardized reference intervals, we developed an integrated program that can calculate, by a nonparametric method, reference intervals with using the Clinical and Laboratory Standards Institute (CLSI) processes as its guideline. We also developed a grouping interface that enables users to customize classification of each group (age, gender, blood group, race, etc) when calculating reference intervals.
Results: To verify the developed program, we compared the reference intervals of the current data on 281 persons for 8 total areas, and the reference intervals were was already calculated beforehand with by using this new program. As a result, both results perfectly matched.
Conclusions: This integrated program will be convenience for calculating reasonable values through continual datainspection at an inspection lab for calculating reference intervals. The newly developed program will improve the consistency and reliability of the statistics on reference intervals.
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http://dx.doi.org/10.4258/hir.2010.16.1.15 | DOI Listing |
Context: Anemia is a medical condition resulting from a reduction in the number of red blood cells below the reference range. It is a major public health problem, particularly among adolescents, as it can have negative effects on cognitive performance, growth and reproduction. This study aims to assess the determinants of anemia among adolescents in schools in the city of Douala.
View Article and Find Full Text PDFBMC Gastroenterol
January 2025
Department of Gastroenterology and Hepatology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, No. 55 Zhenhai Road, Xiamen, 361003, China.
Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) has become the most common chronic liver disease worldwide. The pan-immune-inflammation value (PIV) has been proposed as a biomarker for assessing immune status and inflammation. There is currently no evidence regarding the effect of PIV on the risk of MASLD.
View Article and Find Full Text PDFJ Assist Reprod Genet
January 2025
Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Purpose: This study is to evaluate duration of oocyte cryostorage and association with thaw survival, fertilization, blastulation, ploidy rates, and pregnancy outcomes in patients seeking fertility preservation.
Methods: Retrospective cohort study to evaluate clinical outcomes in patients who underwent fertility preservation from 2011 to 2023 via oocyte vitrification for non-oncologic indications. Primary outcome was thaw survival rate.
The increasing availability of coarse-scale climate simulations and the need for ready-to-use high-resolution variables drive the climate community to the challenge of reducing computational resources and time for downscaling purposes. To this end, statistical downscaling is gaining interest as a potential strategy for integrating high-resolution climate information obtained through dynamical downscaling over limited years, providing a clear understanding of the gains and losses in combining dynamical and statistical downscaling. In this regard, several questions can be raised: (i) what is the performance of statistical downscaling, assuming dynamical downscaling as a reference over a shared time window; (ii) how much the performance of statistical downscaling is affected by changes in the number of years available for training; (iii) how does the climate normal considered for the training affect the predictions.
View Article and Find Full Text PDFClin Chem Lab Med
January 2025
Department of Blood Sciences, Newcastle upon Tyne Hospitals NHS Foundation Trust, Queen Victoria Road, Newcastle Upon Tyne, NE1 4LP, UK.
Objectives: Prompt recognition of hyperammonaemia can avoid severe consequences of delayed treatment. Strict sample transport requirements present barriers to requesting and, if not achieved, rejection by the laboratory. Evidence is sparse on ammonia stability from studies using modern techniques or based in clinical settings.
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