Background: The most common causes of microcytic hypochromic anemia are iron deficiency anemia (IDA) and the beta-thalassemia trait (β-TT). The aim of the work is to compare the validity of the various simple indices...Background: The most common causes of microcytic hypochromic anemia are iron deficiency anemia (IDA) and the beta-thalassemia trait (β-TT). The aim of the work is to compare the validity of the various simple indices to differentiate between iron deficiency anemia and β-thalassemia trait. Subjects and methods: A total of 2000 individuals were screened, by complete blood picture, measurement of serum iron, serum ferritin and hemoglobin separation;224 patients were detected as having hypochromia and microcytosis. Among them 166 cases were IDA and 58 cases were β-TT. We calculated 11 discrimination indices. The number of correctly identified cases were determined, sensitivity, specificity, positive and negative predictive value and Youden’s index (YI) of each discrimination index was calculated. Results: The percentage of correctly diagnosed patients is highest for Matos and Carvalho index (MCI) (95.5%) which is closely followed by Red cell distribution width index (RDWI) (93.7%). The third high index was Green and King (GKI) (91.9%). Sensitivity, specificity of MCI for detection of IDA was found 98.8%, 87.9% respectively. For β-TT, sensitivity and specificity was found 86.2% and 98.8% respectively. The YI of MCI was found 85.9%. It is followed by RDWI;its sensitivity and specificity for detection of IDA was found 97.6%, 85.3%. For β-TT, sensitivity and specificity was found 82.7% and 97.6% respectively. The YI of RDWI was 81.6%. Conclusion: Matos and Carvalho index and RDWI are easily available automated cell-count-based indices coming out as good discriminator between IDA and β-TT in our study.展开更多
Sickle cell anemia is an autosomal recessive genetic disease by mutation of the β globin gene. This mutation induces the synthesis of abnormal hemoglobin (Hb) HbS, Mainly responsible for all clinical manifestations v...Sickle cell anemia is an autosomal recessive genetic disease by mutation of the β globin gene. This mutation induces the synthesis of abnormal hemoglobin (Hb) HbS, Mainly responsible for all clinical manifestations vaso-occlusives and chronic hemolysis with variable anemia. The objective of this study is the determination profile of haematological parameters of sickle cell children of the province of Kenitra (Morocco). In order to know the usual values and the particularities which are its own, we have observed that 50% of sickle cell children in our case study have severe anemia and 84% in patients aged 5 to 11 years. In addition, there is no significant difference among gender. The cases of hemoglobinosis S are divided into: Homozygous hemoglobinosis S (43%), Heterozygous sickle cell disease (17%), Hemoglobinosis S associated with alpha-thalassemia (1%), Hemoglobinosis S composite heterozygosity S/beta-thalassemia (5%), S/PHHF composite heterozygosity (6%), eventually composite heterozygosity S/beta+ thalassemia (28%). Homozygous sickle cell children have a long hospital stay, the highest number of hospitalizations and very severe sickle cell syndromes compared to the other phenotypic status of our population.展开更多
文摘Background: The most common causes of microcytic hypochromic anemia are iron deficiency anemia (IDA) and the beta-thalassemia trait (β-TT). The aim of the work is to compare the validity of the various simple indices to differentiate between iron deficiency anemia and β-thalassemia trait. Subjects and methods: A total of 2000 individuals were screened, by complete blood picture, measurement of serum iron, serum ferritin and hemoglobin separation;224 patients were detected as having hypochromia and microcytosis. Among them 166 cases were IDA and 58 cases were β-TT. We calculated 11 discrimination indices. The number of correctly identified cases were determined, sensitivity, specificity, positive and negative predictive value and Youden’s index (YI) of each discrimination index was calculated. Results: The percentage of correctly diagnosed patients is highest for Matos and Carvalho index (MCI) (95.5%) which is closely followed by Red cell distribution width index (RDWI) (93.7%). The third high index was Green and King (GKI) (91.9%). Sensitivity, specificity of MCI for detection of IDA was found 98.8%, 87.9% respectively. For β-TT, sensitivity and specificity was found 86.2% and 98.8% respectively. The YI of MCI was found 85.9%. It is followed by RDWI;its sensitivity and specificity for detection of IDA was found 97.6%, 85.3%. For β-TT, sensitivity and specificity was found 82.7% and 97.6% respectively. The YI of RDWI was 81.6%. Conclusion: Matos and Carvalho index and RDWI are easily available automated cell-count-based indices coming out as good discriminator between IDA and β-TT in our study.
文摘Sickle cell anemia is an autosomal recessive genetic disease by mutation of the β globin gene. This mutation induces the synthesis of abnormal hemoglobin (Hb) HbS, Mainly responsible for all clinical manifestations vaso-occlusives and chronic hemolysis with variable anemia. The objective of this study is the determination profile of haematological parameters of sickle cell children of the province of Kenitra (Morocco). In order to know the usual values and the particularities which are its own, we have observed that 50% of sickle cell children in our case study have severe anemia and 84% in patients aged 5 to 11 years. In addition, there is no significant difference among gender. The cases of hemoglobinosis S are divided into: Homozygous hemoglobinosis S (43%), Heterozygous sickle cell disease (17%), Hemoglobinosis S associated with alpha-thalassemia (1%), Hemoglobinosis S composite heterozygosity S/beta-thalassemia (5%), S/PHHF composite heterozygosity (6%), eventually composite heterozygosity S/beta+ thalassemia (28%). Homozygous sickle cell children have a long hospital stay, the highest number of hospitalizations and very severe sickle cell syndromes compared to the other phenotypic status of our population.
