TY - JOUR
A1 - Olowoselu, Olusola
A1 - Uche, Ebele
A1 - Ogunlade, Abosede
A1 - Oyedeji, Olufemi
A1 - Ajie, Obiefuna
A1 - Osunkalu, Vincent
A1 - Akinbami, Akinsegun
A1 - Oyedemi, Jeremiah
T1 - The use of antithrombin as a predictive tool in determining the development of stroke in patients with sickle cell anemia based on transcranial doppler ultrasound risk group
Y1 - 2020/1/1
JF - Annals of Tropical Pathology
JO - Ann Trop Pathol
SP - 61
EP - 67
VL - 11
IS - 1
UR - https://www.atpjournal.org/article.asp?issn=2251-0060;year=2020;volume=11;issue=1;spage=61;epage=67;aulast=Olowoselu
DO - 10.4103/atp.atp_38_19
N2 -
Background: Stroke affects up to 10% of individuals with sickle cell anemia (SCA), and its development has been linked to excessive intravascular hemolysis and arterial thrombosis Increased intracerebral blood flow (CBF) velocity as measured by the transcranial Doppler ultrasonography (TCD) identifies children with SCA with an increased risk of development of stroke. This study measured antithrombin (AT) levels among SCA patients as a predictor of TCD risk groups for the development of stroke. Materials and Methods: A total of 180 participants consisting of 135 SCA patients and 45 age-matched hemoglobin phenotype AA (HbAA) controls were enrolled into the study. CBF velocity was measured with TCD and results were used to classify the SCA group into standard risk, conditional risk, and high risk. AT functional activity, prothrombin time (PT), and activated partial thromboplastin time (APTT) of all participants were measured. Statistical tools including independent t-test, analysis of variance, Pearson's correlation, hierarchical multiple regression, and forward liner regression were used to analyze all continuous variables. P <0.05 was considered statistically significant. Results: The AT levels were 83.01 ± 15.40% and 106.12 ± 14.79% in HbAA and SCA participants, respectively, with t = −7.294 and P = 0.001. The PT and APTT of the SCA and control groups were 15.51 ± 1.22 s, 13.78 ± 0.94 s, and 35.98 ± 3.24, 33.62 ± 2.49 s, respectively. Using ANOVA, there was a statistical difference (P = 0.001) in the AT levels of the standard-risk (89.07 ± 14.26%) and high-risk groups (73.10 ± 12.35%). Using Pearson's correlation, there was a significant negative correlation between AT levels and CBF (r = −0.405). With the use of multiple regression, AT showed the highest predictive value for CBF (R2 = 0.155; P ≤ 0.001; F = 17.677). Conclusion: AT functional activity levels were reduced in the SCA group compared with the HbAA-matched controls.
ER -