Adherence to transcranial Doppler screening guidelines among children with sickle cell disease
ABSTRACT BACKGROUND: Little is known about adherence to guidelines recommending yearly screening with transcranial Doppler (TCD) ultrasonography to detect stroke risk for children with severe sickle cell disease. The objective was to determine the proportion of children with hemoglobin SS (HbSS) or sickle-β(0) -thalassemia (HbSβ(0) ) aged 2-16 years who received recommended TCD screening from 1997 to 2008, and to identify factors associated with adherence. PROCEDURE: A retrospective cohort study included patients enrolled in Tennessee Medicaid with HbSS or HbSβ(0) who received care at the two largest sickle cell centers in Tennessee. The outcome of interest was adherence with guidelines for annual screening TCD's, identified from computer claims and validated through medical record review. The cumulative rate of children who received a TCD per year was calculated using the Kaplan-Meier method. Cox proportional hazards regression was used to examine the association of child, family, and health care use characteristics with receiving a TCD. RESULTS: Among 338 TCD eligible at-risk children, 232 (68.6%) had at least one TCD during the study period. The yearly cumulative incidence of annual TCD's increased from 2.5% in 1997 to 68.3% in 2008. In multivariate models, calendar year, maternal education, and increased number of sickle cell related outpatient visits were associated with an increased rate of receiving a TCD. CONCLUSIONS: Publicly insured children with HbSS or HbSβ(0) had increasing adherence with TCD screening guidelines between 1997 and 2008, though 31% had no TCD at all during follow-up. Increasing number of sickle cell related outpatient visits was associated with increasing adherence to screening guidelines. Pediatr Blood Cancer © 2012 Wiley Periodicals, Inc.
- SourceAvailable from: Michael R DeBaun06/2013; 167(8):1-2. DOI:10.1001/jamapediatrics.2013.362
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ABSTRACT: The risk of stroke for a child with SCD is many times greater than that of a healthy child without SCD or heart disease. There is a technique that allows the identification of the children with SCD who have high risk even within this relatively high-risk group. And there is a highly effective preventive treatment. While this would on the surface appear to be a straightforward medical decision, it is not. One must weigh the benefits of preventing permanent brain damage against the risks of infection from transfused blood, iron overload, which is the result of the frequent transfusions, and rare transfusion reactions.The Journal of Law Medicine & Ethics 06/2014; 42(2). DOI:10.1111/jlme.12128 · 0.94 Impact Factor
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ABSTRACT: Cerebrovascular disease (CVD) is a severe complication associated with sickle cell anemia. Abnormal transcranial Doppler (TCD) identifies some children at high risk, but other markers would be helpful. This cohort study was aimed at evaluating the effects of genetic biomarkers on the risk of developing CVD in children from Minas Gerais, Brazil. Clinical and hematological data were retrieved from children's records. Outcomes studied were overt ischemic stroke and CVD (overt ischemic stroke, transient ischemic attack, abnormal TCD, or abnormal cerebral angiography). Out of 411 children, 386 (93.9%) had SS genotype, 23 (5.6%) had Sβ0-thal and two had severe Sβ+-thal (0.5%). Frequency of CVD was lower in Sβ-thal group (p = 0.05). No effect of VCAM-1 polymorphism on stroke or CVD risks was detected. Cumulative incidence of stroke was significantly higher for children with TNF-α A allele (p = 0.02) and lower for children with HBA deletion (p = 0.02). However, no association between CVD and TNF-α -308G>A was found. CVD cumulative incidence was significantly lower for children with HBA deletion (p = 0.004). This study found no association between VCAM1 c.1238G>C and stroke. An association between stroke and TNF-α -308A allele has been suggested. Our results have confirmed the protective role of HBA deletion against stroke and CVD.Blood Cells Molecules and Diseases 08/2014; 54(1). DOI:10.1016/j.bcmd.2014.08.001 · 2.33 Impact Factor