6 research outputs found

    Solubilni transferenski receptori u dijagnostici anemije zbog deficita gvožđa

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    Introduction In recent years, determination of soluble transferrin receptor levels has been emerging as a test that can reliably indicate iron deficiency in various states, and that is non-invasive and easy to use. Objective To determine reference values of sTfR concentrations in serums in our population, to examine the reliability of the method in the diagnosis of anemia due to iron deficiency and associated iron deficiency in anemia accompanying chronic illnesses, to identify possible limitations of the test in certain conditions, to examine the value of combinations with other tests in the diagnosis of mentioned anemia types. Methods The prospective research included 86 patients with anemia: 46 patients with iron-deficiency anemia, and 40 patients with anemia of a chronic disease. The control group consisted of 40 healthy persons aging over 18. It was performed at the Clinic of Hematology, while laboratory tests were conducted in the Immunology and Biochemistry Laboratory of the Clinical Center Niš. Values of complete blood count, iron and iron-binding capacity in serum, ferritin and soluble transferrin receptors were determined. Results Ferritin values were reduced in 76.1% of patients, while higher levels of soluble transferrin receptors appeared in 100% of patients with anemia due to iron deficiency. In patients with reduced serum ferritin levels, sTfR/log ferritin index was statistically significantly higher than in patients in whom ferritin concentration was in the normal range (p <0.001). ROC analysis of patients with anemia due to iron deficiency showed that sTfR/log ferritin index (AUC 0.992) and levels of soluble transferrin receptors (AUC 0.986) occupied the largest area under the curve, thus representing the best diagnostic markers for these patients. The best diagnostic parameter for detecting iron deficiency in patients with anemia of a chronic disease by ROC analysis is the sTfR/log ferritin index (AUC 0.770). Conclusion Soluble transferrin receptors are useful in the diagnosis of anemia due to iron deficiency, especially when ferritin values are not reduced. The calculation of sTfR/log ferritin index is even more reliable. In patients with anemia of a chronic disease, the associated iron deficiency could be best indicated by sTfR/log ferritin inde

    Solubilni transferenski receptori u dijagnostici anemije zbog deficita gvožđa

    No full text
    Introduction In recent years, determination of soluble transferrin receptor levels has been emerging as a test that can reliably indicate iron deficiency in various states, and that is non-invasive and easy to use. Objective To determine reference values of sTfR concentrations in serums in our population, to examine the reliability of the method in the diagnosis of anemia due to iron deficiency and associated iron deficiency in anemia accompanying chronic illnesses, to identify possible limitations of the test in certain conditions, to examine the value of combinations with other tests in the diagnosis of mentioned anemia types. Methods The prospective research included 86 patients with anemia: 46 patients with iron-deficiency anemia, and 40 patients with anemia of a chronic disease. The control group consisted of 40 healthy persons aging over 18. It was performed at the Clinic of Hematology, while laboratory tests were conducted in the Immunology and Biochemistry Laboratory of the Clinical Center Niš. Values of complete blood count, iron and iron-binding capacity in serum, ferritin and soluble transferrin receptors were determined. Results Ferritin values were reduced in 76.1% of patients, while higher levels of soluble transferrin receptors appeared in 100% of patients with anemia due to iron deficiency. In patients with reduced serum ferritin levels, sTfR/log ferritin index was statistically significantly higher than in patients in whom ferritin concentration was in the normal range (p <0.001). ROC analysis of patients with anemia due to iron deficiency showed that sTfR/log ferritin index (AUC 0.992) and levels of soluble transferrin receptors (AUC 0.986) occupied the largest area under the curve, thus representing the best diagnostic markers for these patients. The best diagnostic parameter for detecting iron deficiency in patients with anemia of a chronic disease by ROC analysis is the sTfR/log ferritin index (AUC 0.770). Conclusion Soluble transferrin receptors are useful in the diagnosis of anemia due to iron deficiency, especially when ferritin values are not reduced. The calculation of sTfR/log ferritin index is even more reliable. In patients with anemia of a chronic disease, the associated iron deficiency could be best indicated by sTfR/log ferritin inde

    Solubilni transferenski receptori u dijagnostici anemije zbog deficita gvožđa

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    Introduction In recent years, determination of soluble transferrin receptor levels has been emerging as a test that can reliably indicate iron deficiency in various states, and that is non-invasive and easy to use. Objective To determine reference values of sTfR concentrations in serums in our population, to examine the reliability of the method in the diagnosis of anemia due to iron deficiency and associated iron deficiency in anemia accompanying chronic illnesses, to identify possible limitations of the test in certain conditions, to examine the value of combinations with other tests in the diagnosis of mentioned anemia types. Methods The prospective research included 86 patients with anemia: 46 patients with iron-deficiency anemia, and 40 patients with anemia of a chronic disease. The control group consisted of 40 healthy persons aging over 18. It was performed at the Clinic of Hematology, while laboratory tests were conducted in the Immunology and Biochemistry Laboratory of the Clinical Center Niš. Values of complete blood count, iron and iron-binding capacity in serum, ferritin and soluble transferrin receptors were determined. Results Ferritin values were reduced in 76.1% of patients, while higher levels of soluble transferrin receptors appeared in 100% of patients with anemia due to iron deficiency. In patients with reduced serum ferritin levels, sTfR/log ferritin index was statistically significantly higher than in patients in whom ferritin concentration was in the normal range (p <0.001). ROC analysis of patients with anemia due to iron deficiency showed that sTfR/log ferritin index (AUC 0.992) and levels of soluble transferrin receptors (AUC 0.986) occupied the largest area under the curve, thus representing the best diagnostic markers for these patients. The best diagnostic parameter for detecting iron deficiency in patients with anemia of a chronic disease by ROC analysis is the sTfR/log ferritin index (AUC 0.770). Conclusion Soluble transferrin receptors are useful in the diagnosis of anemia due to iron deficiency, especially when ferritin values are not reduced. The calculation of sTfR/log ferritin index is even more reliable. In patients with anemia of a chronic disease, the associated iron deficiency could be best indicated by sTfR/log ferritin inde

    The significance of soluble transferrin receptors in diagnosing iron deficiency anemia

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    Introduction. In recent years, determination of soluble transferrin receptor levels has been emerging as a test that can reliably indicate iron deficiency in various states, and that is non-invasive and easy to use. The aim of this study was: to determine reference values of soluble transferrin receptor concentrations in serums in our population, to examine the reliability of this method in the diagnosis of anemia due to iron deficiency and associated iron deficiency in anemia accompanying malignant hemopathies, and to identify possible limitations of the test in certain conditions

    Group decision-making in civil engineering based on AHP and PROMETHEE methods

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    The Analytical Hierarchy Process (AHP) and PROMETHEE have gained increasing attention in the field of construction management as techniques for the analysis of complex situations and as decision support for decision makers. However, these two methods in themselves or their potential applications to problems of construction management are not sufficiently defined in the existing literature. The environment of group decision-making bring even more challenges. This paper consolidates and critically discusses the current knowledge on the application of AHP and PROMETHEE methods in the light of the specifics of the construction industry. A systematic literature review was used to select the contributions indexed in the databases Scopus and Web of Science. The findings indicate that the studies deal with broad topics and different aspects in different phases of civil engineering projects. This paper provides a useful reference work for researchers and practitioners interested in the application of AHP and PROMEETHEE as tools for group decision-making in civil engineering

    Predicting buildings construction cost overruns on the basis of cost overruns structure

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    In construction practice, contractually agreed costs are often exceeded, which interferes with the sustainable realization of construction projects. The research described in this paper covers 24 new construction, renovation and reconstruction projects in the Republic of Croatia realized in the years 2006 to 2017, in order to analyse the occurrence of cost overruns more precisely with regard to the source of the overruns. It was found that additional work is the main source of cost overruns: firstly, additional work as a result of the client’s change orders and then unforeseen construction work as a result of unforeseen circumstances. As for the additional works, they are carried out at the client’s request and are not necessary for the safety and stability of the building. Using linear regression and “soft computing” methods, the possibility of modelling the relationship between contractually agreed and realized construction costs with satisfactory accuracy was tested. The model with the values of the natural logarithms of the variables, modelled according to the time–cost model of Bromilow, proved to be of the highest accuracy
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