Post-Hoc Analysis of Data Received with Nuclear Medical Diagnostic in Bulgarien Patients
Krasimira Prodanova, Yordanka Uzunova
Abstract
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Krasimira Prodanova, Yordanka Uzunova
Abstract
Open-access reader
Fever of unknown origin (FUO) is a clinical condition extremely difficult to diagnose. For this purpose a number of methods are used – clinical and paraclinical, as well as medical imaging, of which only nuclear-medical diagnostic methods allow performance of full-body scanning, which avoids skipping areas, loss of time and resources. In this article we are looking for the interrelationship between two groups of factors: group 1 (body temperature; leukocytes and erythrocyte sedimentation rate (ESR) and group 2 (presence and severity of an inflammatory process). Analysis of variance (ANOVA) is used for analyzing observations of the index of accumulation that depends on the effects of the factors as patient’s temperature, leukocytes and ESR. The comparison of mean values of the statistically significant factors for the different categories of the index of accumulation and respectively activity of the inflammatory process is made. The study included 74 patients: 30 (40.54%) men aged 15 to 71 years. and 44 (59.46%) women aged 7 to 74 diagnosed in a hospital in Sofia, Bulgaria. However, ANOVA test results don’t map out which groups are different from other groups. To determine whether the mean differences between the factors are statistically significant post hoc test is used.
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Fever of unknown origin (FUO) is a clinical condition extremely difficult to diagnose. For this purpose a number of methods are used – clinical and paraclinical, as well as medical imaging, of which only nuclear-medical diagnostic methods allow performance of full-body scanning, which avoids skipping areas, loss of time and resources. In this article we are looking for the interrelationship between two groups of factors: group 1 (body temperature; leukocytes and erythrocyte sedimentation rate (ESR) and group 2 (presence and severity of an inflammatory process). Analysis of variance (ANOVA) is used for analyzing observations of the index of accumulation that depends on the effects of the factors as patient’s temperature, leukocytes and ESR. The comparison of mean values of the statistically significant factors for the different categories of the index of accumulation and respectively activity of the inflammatory process is made. The study included 74 patients: 30 (40.54%) men aged 15 to 71 years. and 44 (59.46%) women aged 7 to 74 diagnosed in a hospital in Sofia, Bulgaria. However, ANOVA test results don’t map out which groups are different from other groups. To determine whether the mean differences between the factors are statistically significant post hoc test is used.
Key concepts: Post-hoc analysis, Analysis of variance, Post hoc, Medicine, Erythrocyte sedimentation rate, Body mass index, Internal medicine