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Application of Sigma Metric Analysis to Evaluate the Performance of the Biochemistry Analytical System in a Medical Biology Laboratory in Côte d’Ivoire

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Journal of Analytical Sciences, Methods and Instrumentation 2024年第1期14卷 14-21页

作者： Koffi Akissi Joelle Kouakou Francisk Kouadio Charlotte Yeo Karna ahiboh hugues Hauhouot-Attoungbré Marie-Laure Biochemistry and Clinical Chemistry Unit CeDReS University Hospital of Treichville Abidjan Ivory Coast Department of Biochemistry Clinical Chemistry and Molecular Biology Faculty of Pharmaceutical and Biological Sciences University Felix Houphouet-Boigny Abidjan Ivory Coast

Introduction: The Six Sigma methodology is an opportunity for a better understanding of the performance of analytical methods and for a better adaptation of the quality control management policy of the medical biology laboratory. Using the sigma metric, this study assessed the performance of the Biochemistry analytical system of a medical biology laboratory in Côte d'Ivoire. Methods: Six Sigma methodology was applied to 3 analytes (alanine aminotransferase, glucose and creatinine). Performance indicators such as measurement imprecision and bias were determined based on the results of internal and external quality controls. The sigma number was calculated using the total allowable error values proposed by Ricos et al. Results: For both control levels, ALT had a sigma number greater than 6 (7.6 for normal control and 7.9 for pathological control). However, low sigma numbers, less than or equal to 2 for creatinine (1.4 for normal control and 2 for pathological control) and less than 1 for glucose were found. Conclusion: This study revealed good analytical performance of ALT from the point of view of 6 sigma analysis. However, modifications to the overall quality control procedure for glucose and creatinine are needed to improve their analytical performance. The study should be extended to the entire laboratory’s analytes in order to modify the strategies of quality control procedures based on metric analysis for an overall improvement in analytical performance.

关键词： Six Sigma Qualities Controls Bias Imprecision Total Allowable Error

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Does Haptoglobin Phenotype Impact Infection Mortality?

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Advances in Biological Chemistry 2022年第5期12卷 143-150页

作者： Akissi Joelle Koffi hugues Thierno ahiboh Philémond By Delphine Gabillard Roseline Affi Francisk Kouakou André Inwoley Département de Biochimie et Biologie Moléculaire UFR SPB Université Félix Houphouet Boigny Ivory Coast

Introduction: The physiological status of a subject and the pathophysiology in some diseases might be under the influence of haptoglobin phenotype. The objective of this work was to determine the relationship between mortality from HIV/AIDS infection and haptoglobin phenotype in a black population in Côte d’Ivoire. Methods: The study was conducted from a retrospective panel of 933 sera/plasma from the previous workup of the ANRS 12136 TEMPRANO trial at month 0 of patients in deferred-ART arms. For each subject, we determined the serum haptoglobin concentration, haptoglobin phenotype, and other variables from patient files from the TEMPRANO trial database. Statistical tests used were Chi-2, Fischer, and Kruskal-Wallis tests for non-gaussian distribution. We used the Kaplan-Meier method for survival analysis. Results: The distributions of the haptoglobin phenotypes were 32.3% for Hp 1-1, 39.5% for Hp 2-1 and 27.2% for Hp 2-2. The blood haptoglobin concentration seemed to be associated with haptoglobin phenotypes (p-value > 5%). The survival rate at M30 and for an extended follow-up up to 6 years was independent of haptoglobin phenotype (p-value > 5%). Besides, the haptoglobin phenotypes do not appear to be associated with CD4+ T-cell count and with hemoglobin concentration. Conclusion: Haptoglobin phenotype seems to not impact the mortality of HIV/AIDS infection. However, given the antioxidant and immunomodulatory properties of some haptoglobin phenotypes, it would be relevant to seek out possible confounding factors indirectly associated with haptoglobin phenotypes and clinical or biological infection variables.

关键词： HIV/AIDS Infection Phenotype of Haptoglobin CD4+ Cell Counts Hemoglobin Mortality

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Iron Status of a People Living with HIV in Sub-Saharan Africa Using a Multi-Criteria Approach Based on the Determination of Blood Ferritin, sTfR, CRP and sTfR-F Index

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Journal of Biosciences and Medicines 2023年第5期11卷 239-246页

作者： Joelle Akissi Koffi hugues Thierno ahiboh Philémond By Delphine Gabillard Affi Roseline Francisk Kouakou Inwoley Andre Centre de Diagnostic et de Recherche sur le SIDA et Autres Maladies Infectieuses CHU de Treichville Abidjan C&ocircte d’Ivoire Département de Biochimie et Biologie Moléculaire UFR Sciences Pharmaceutiques et Biologiques Université Félix Houphouet Boigny C&ocircte d’Ivoire Laboratoire de Biochimie Pharmacodynamie UFR Bosciences Université Félix Houphouet Boigny C&ocircte d’Ivoire Programme PAC-CI site ANRS DE Cô te d’Ivoire Abidjan C&ocircte d’Ivoire University of Bordeaux National Institute for Health and Medical Research (INSERM) UMR 1219 Research Institute for Sustainable Development (IRD) EMR 271 Bordeaux Population Health Centre Bordeaux France

Background: The assessment of iron status using a single biomarker of iron metabolism is not enough sensitive and specific to reliably diagnose iron deficiency associated with multiple comorbidities. The objective of this study was to describe the iron status of people living with HIV in sub-Saharan Africa using a multi-criteria approach based on the determination of blood ferritin, sTfR, CRP and the calculation of sTfR-F index. Methods: This study was conducted using a retrospective panel of 933 sera/plasmas. We determined serum ferritin concentration, serum sTfR concentration, and C-reactive protein (CRP) by immunoturbidimetry for each subject. The sTfR-F index was determined by calculating the sTfR/log ferritin ratio. The statistical test used was Chi2. Results: Regardless of the inflammatory syndrome, we determined 3.80%, 30.29%, and 42.70% iron deficiency based on the separate interpretation of ferritin concentration, sTfR, and sTfR-F calculation, respectively. We used those biomarkers in addition to CRP in an algorithm for the diagnosis of iron deficiency. Subjects without inflammatory syndrome, had iron deficiency of 2.89% (n = 26). Taking into account the presence of an inflammatory syndrome, the frequency obtained was n = 88 (9.78%). Overall, iron deficiency was diagnosed in 114 (12.67%) patients when we used the diagnostic algorithm. Conclusion: The use of diagnostic algorithms combining several biomarkers of iron metabolism and taking into account the presence or absence of an inflammatory syndrome is a good approach to detect a large number of iron deficiencies in a population. Therefore, an assessment of the effectiveness of different diagnostic algorithms is necessary.

关键词： Iron Deficiency Iron Metabolism Biomarkers HIV Infection CRP

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Influence of Haptoglobin and Hemoglobin Phenotypic Polymorphisms on Sickle Cell Disease Morbidity

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Advances in Biological Chemistry 2023年第5期13卷 171-181页

作者： hugues ahiboh Akissi Joelle Koffi Aniéla Kanga Philemond By Fatoumata Koné Hermance Kassi Francisk Kouakou Marie-Laure Hauhouot-Attoungbré Duni Sawadogo Biochemistry and Clinical Chemistry Unit CeDReS University Hospital of Treichville Abidjan Ivory Coast Department of Hematology University Hospital of Bouaké Bouaké Ivory Coast Molecular Biology Unit CeDReS University Hospital of Treichville Abidjan Ivory Coast Hematology Unit CeDReS University Hospital of Treichville Abidjan Ivory Coast Department of Biochemistry Clinical Chemistry and Molecular Biology Faculty of Pharmaceutical and Biological Sciences University Felix Houphouet-Boigny Abidjan Ivory Coast Department of Hematology and Cell Biology Faculty of Pharmaceutical and Biological Sciences University Felix Houphouet-Boigny Abidjan Ivory Coast

Objectives: Sickle cell disease (SCD) has a varied clinical and biological expression depending on the hemoglobin phenotype: SSFA2, SFA2, SAFA2 and SC. Considering the antioxidant properties of the different haptoglobin phenotypes (Hp 1-1, Hp 2-1, Hp 2-2), it seemed relevant to know their influence on the morbidity of the different hemoglobin phenotype of SCD. Thus, the objective of this study was to identify associations between haptoglobin phenotype and morbidity of different SCD phenotypes. Methods: In a retrospective cross-sectional descriptive and analytical study, with a cohort of 170 black African carriers of hemoglobin S, in Ivory Coast, West Africa, hemoglobin and haptoglobin phenotypes were determined by electrophoretic methods. Results: The three major phenotypes of haptoglobin polymorphism were found in the SCD cohort: Hp 1-1 (24.1%), Hp 2-1 (56.5%), Hp 2-2 (19.4%). Vaso-occlusions were associated with haptoglobin phenotype Hp 1-1, (OR = 2.03;CI95% = [1.06 - 3.9];p Conclusions: Haptoglobin phenotype was associated to morbidity-adjusted hemoglobin phenotype. The study revealed a greater probability of a worse morbidity when the hemoglobin phenotype is homozygous. Unexpectedly, the worse morbidity is associated to Hp 1-1 haptoglobin phenotype, the most powerful antioxidant within the different haptoglobin phenotypes. Associations found were not systematic and need further studies to enlighten the determinism of SCD morbidity.

关键词： Haptoglobin Phenotype Hemoglobin Phenotype Sickle Cell Disease Morbidity

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