Analyzing the difference of hemogram values between the age groups by using the laboratory patien data

Aim: A complete blood count is a very valuable, important test that shows critical information about blood cells whose use are common when diagnosing or screening a patient. The aim of this study is to look up if there is a difference among the complete blood count elements; Leucocytes (WBC), lymphocytes (LYM), monocytes (MONO), eosinophiles (EOS), neutrophils (NEU), basophils (BASO), gathered from hospital information management and automation (HBYOS) in Dicle University across a variety of ages and if so to investigate the suitability of referance intervals used by common & well known laboratories. Materials and Method: The study includes 24718 patient's complete blood count gathered between January the first-31st of March 2016 from Dicle University Faculty of Medicine's biochemistry laboratory by using CELL-DYN Ruby 48-3853/R1(Abbott-USA) autoanalyzer. The patient demographics included in the study concerning the age intervals are as follows; ages 0-1 (Group 1), ages 2-9 (Group 2), ages 10-17 (group 3), ages 18-60 (Group 4) and above age 61 (group 5). After comparing the 6 subgrub of blood cells a statistical analysis has been applied . The statistical mean and standart deviation have been given and the conveniance of normality distribution has been tested by Kolmogorov-Simirnow test where homogenity is tested by Levene test. The one-way analysis of variance (ANOVA) is used to determine the statistically significant difference among independant groups and Tukey's Honest Significant Difference ( HSD) test was used for multiple comparisons. The confidence of interval was 95% and definitive statistics and analysis were performed by using R version 3.2.3 (2015-12-10) & Copyright (C) 2015 The R Foundation for Statistical Computing free software and p value is accepted statistically significant as < 0,05. Results and Conclusion: Significant difference were observed (p<0,05) among different age groups therefore a need to use different referance intervals among different ages, has been arised. Keywords: Hemograme, total blood count, age, referance interval