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 ...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 Chi<sup>2</sup>. 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.展开更多
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 ...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.展开更多
文摘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 Chi<sup>2</sup>. 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.
文摘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.
