Hydroxyurea can be used in children with sickle cell disease and cerebral vasculopathy for the prevention of chronic complications? A meta-analysis.
Ramiro Manzano NúñezCarlos Andrés Portilla FigueroaHerney Andres García-PerdomoPublished in: Journal of child health care : for professionals working with children in the hospital and community (2019)
We conducted a systematic review for evaluating the impact of hydroxyurea and chronic blood transfusion in children with sickle cell disease (SCD). A search was done in four databases from inception to 2017. Trials enrolling pediatric patients with SCD and cerebral vasculopathy with or without previous episode of stroke and that reported outcomes of occurrence of stroke and other events were included. Trained reviewers determined eligibility, risk of bias, and abstracted data. Random-effects meta-analysis was conducted. We found that the primary outcome was the occurrence of stroke. We found two trials that recruited 254 patients. No difference was found for confirmed stroke occurrence (risk difference 0.04 [95% CI: -0.03 to 0.03]) and for new-onset neurological deficit (risk difference 0.11 [95% CI: -0.00 to 0.21]). Transfusions provided a significant lower risk of vaso-occlussive crisis (risk difference 0.10 [95% CI: 0.001 to 0.20]). Finally, transfusions provided a lower risk of having high concentrations of abnormal hemoglobin S (mean difference 37.94 [95% CI: 27.55 to 48.32]). As a conclusion, transfusions plus chelation therapy might be used instead of hydroxyurea in children with SCD. There is a lack of high-quality research in the care of children with SCD, and therefore a call for action is needed.
Keyphrases
- atrial fibrillation
- young adults
- systematic review
- risk assessment
- cerebral ischemia
- sickle cell disease
- end stage renal disease
- subarachnoid hemorrhage
- ejection fraction
- palliative care
- healthcare
- chronic kidney disease
- public health
- big data
- machine learning
- randomized controlled trial
- stem cells
- cell therapy
- body composition
- deep learning
- resistance training
- pain management
- prognostic factors
- meta analyses
- chronic pain
- case control
- red blood cell