Assessing the Effect of Short and Long-Term Hydroxyurea Treatment on Cerebral Hemodynamics in Children with Sickle Cell Anemia Using Quantitative MRI: Preliminary Findings
Bibliographic record
Abstract
Abstract Introduction: Sickle Cell Disease (SCD) is an inherited blood disorder, afflicting 1 in 400 African Americans, clinically characterized by hemolytic anemia, painful vaso-occlusive crises and endothelial dysfunction resulting in chronic organ damage.1 Hydroxyurea (HU) is a myelosuppressive agent that has been shown to reduce the number of vaso-occlusive crises, acute chest syndromes, blood transfusions and hospital admissions and is currently being investigated as an alternative to transfusion therapy for primary stroke prevention.2,3 HU's protective properties are primarily thought to be a result of its ability to increase HbF levels, which reduces sickle hemoglobin polymerization.4 However, HU requires a minimum of 3-6 months for sufficient HbF induction and previous studies have shown improved clinical performance well before a detectable rise in HbF.3,4 The HbF-independent clinical improvement is hypothesized to be a result of HU acting as a nitric oxide (NO) donor, a potent vasodilator, whose bioavailability is reduced in SCD.5,6 Reduced NO has a direct effect on the dilation of cerebral vessels, which warrants investigation into the impact of HU treatment length on cerebral hemodynamics. To assess cerebral hemodynamics we obtained dynamic MR measurements of cerebrovascular reactivity (CVR), which reflect the capacity of vascular endothelia to dilate in the presence of a vasoactive stimulus. In addition, we also obtained CBF data using arterial-spin labelling (ASL) to assess its relationship to CVR. We hypothesized that CVR will be higher in long-term HU-treated patients compared to short-term HU-treated patients. Furthermore, we hypothesized that CBF will be inversely correlated with CVR and will be lower in patients on long-term HU compared to short-term HU-treated patients. Methods: 21 Patients (11M/10F; avg age 14±2.45) with no history of stroke, were imaged on a 3T MRI system. 15 patients were on HU for more than 1 year (long-term) and 6 were on HU less than 5 months (short-term). The hematocrit of both groups was similar. CVR data of the entire brain was obtained using a standard blood-oxygen-level-dependent (BOLD) MRI sequence in combination with a CO2 breathing challenge. CO2 was delivered via a re-breathing mask in 4 alternating cycles of 40 mmHg PETCO2 for 60 seconds and 45mmHg PETCO2 for 45 seconds. Correlations of voxel-based BOLD changes to end-tidal CO2 waveforms were analyzed using FSL v4.1 and yielded CVR maps that were co-registered to anatomical images. CBF was obtained with a standard pulsed ASL protocol and was quantified from the mean signal difference between ASL tag and control images using a kinetic model. The Student's t-test was used to assess whether the mean global CVR and CBF were significantly different (p<0.05) between patients on short-term and long-term HU treatment. Results: Global CVR was significantly higher in long-term HU-treated patients compared to short-term HU-treated patients (p=0.034) [Figure 1]. However, global CBF was significantly higher in long-term HU-treated patients compared to short-term HU-treated patients (p=0.032) [Figure 2]. Conclusions: As expected, long-term HU-treated patients had higher CVR compared to the short-term HU-treated patients. This could be due to the rise in HbF which reduces sickling, thereby buffering the impact of hemolysis-associated endothelial dysfunction thereby increasing NO more compared to the short-term group. However, CBF in long-term HU-treated patients was significantly higher compared to the short-term treated patients. This was unexpected and not in line with our previous studies, which have shown that CVR is inversely correlated with CBF, both in children with SCD as well as healthy controls, which is characteristic of functioning endothelia. The increase in both CVR and CBF in long-term HU-treated patients may indicate an uncoupling of CVR and CBF, which could be exacerbated with continued treatment and should be monitored. However, further studies are needed to verify this. Figure 1. Effect of HU treatment on CVR Figure 1. Effect of HU treatment on CVR Figure 2. Effect of HU treatment on CBF Figure 2. Effect of HU treatment on CBF References 1. Switzer J, et al. Lancet Neurol. 2006;5:501-5012. 2. Rodgers GP, et al. N Engl J Med. 1990; 322:1037–1045. 3. Charache S, et al. N Engl J Med. 1995;332:1317– 1322. 4. Halsey C, et al. Br J Haematol. 2003;120: 177-186. 5. Nahavandi M, et al. Hematology. 2000;5:235–239. 6. Morris C, et al. J Pediat Hematol Onc. 2003;28:629-634. Disclosures Off Label Use: Hydroxyurea is FDA approved for adults with HbSS. However, it is prescribed off-label at the Hospital for Sick Children for children with HbSS. .
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".