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CLINICAL TRIAL article

Front. Neurol., 22 May 2024
Sec. Pediatric Neurology

Neurocognitive outcome in children with sickle cell disease after myeloimmunoablative conditioning and haploidentical hematopoietic stem cell transplantation: a non-randomized clinical trial

Suzanne BranieckiSuzanne Braniecki1Elliott VichinskyElliott Vichinsky2Mark C. WaltersMark C. Walters2Shalini ShenoyShalini Shenoy3Qiuhu ShiQiuhu Shi4Theodore B. MooreTheodore B. Moore5Julie-An TalanoJulie-An Talano6Susan K. ParsonsSusan K. Parsons7Allyson FlowerAllyson Flower1Anne PanarellaAnne Panarella1Sandra FabricatoreSandra Fabricatore1Erin MorrisErin Morris1Harshini MahantiHarshini Mahanti1Jordan MilnerJordan Milner1Robert C. McKinstry,Robert C. McKinstry5,8Christine N. DuncanChristine N. Duncan9Carmella van de VenCarmella van de Ven1Mitchell S. Cairo,,,,
Mitchell S. Cairo1,10,11,12,13*
  • 1Department of Pediatrics, New York Medical College, Valhalla, NY, United States
  • 2Department of Pediatrics, UCSF Benioff Children’s Hospital, Oakland, CA, United States
  • 3Department of Pediatrics, Washington University, St Louis, MO, United States
  • 4Department of Epidemiology, New York Medical College, Valhalla, NY, United States
  • 5Department of Pediatrics, University of California, Los Angeles, Los Angeles, CA, United States
  • 6Department of Pediatrics, Medical College of Wisconsin, Milwaukee, WI, United States
  • 7Department of Medicine and Pediatrics, Tufts Medical Center, Boston, MA, United States
  • 8Department of Radiology, Washington University, St Louis, MO, United States
  • 9Dana-Faber/Children’s Cancer and Blood Disorders Center, Boston, MA, United States
  • 10Department of Medicine, New York Medical College, Valhalla, NY, United States
  • 11Department of Pathology, New York Medical College, Valhalla, NY, United States
  • 12Department of Microbiology and Immunology, New York Medical College, Valhalla, NY, United States
  • 13Department of Cell Biology and Anatomy, New York Medical College, Valhalla, NY, United States

Background: Due to the risk of cerebral vascular injury, children and adolescents with high-risk sickle cell disease (SCD) experience neurocognitive decline over time. Haploidentical stem cell transplantation (HISCT) from human leukocyte antigen-matched sibling donors may slow or stop progression of neurocognitive changes.

Objectives: The study is to determine if HISCT can ameliorate SCD-associated neurocognitive changes and prevent neurocognitive progression, determine which specific areas of neurocognitive functioning are particularly vulnerable to SCD, and determine if there are age-related differences in neurocognitive functioning over time.

Methods: We performed neurocognitive and neuroimaging in SCD recipients following HISCT. Children and adolescents with high-risk SCD who received parental HISCT utilizing CD34+ enrichment and mononuclear cell (T-cell) addback following myeloimmunoablative conditioning received cognitive evaluations and neuroimaging at three time points: pre-transplant, 1 and 2 years post-transplant.

Results: Nineteen participants (13.1 ± 1.2 years [3.3–20.0]) received HISCT. At 2 years post-transplant, neuroimaging and cognitive function were stable. Regarding age-related differences pre-transplantation, older children (≥13 years) had already experienced significant decreases in language functioning (p < 0.023), verbal intelligence quotient (p < 0.05), non-verbal intelligence quotient (p < 0.006), and processing speed (p < 0.05), but normalized post-HISCT in all categories.

Conclusion: Thus, HISCT has the potential to ameliorate SCD-associated neurocognitive changes and prevent neurocognitive progression. Further studies are required to determine if neurocognitive performance remains stable beyond 2 years post-HISCT.

Clinical trial registration: The study was conducted under an investigator IND (14359) (MSC) and registered at clinicaltrials.gov (NCT01461837).

1 Introduction

Sickle cell disease (SCD) is an autosomal recessive genetic disorder affecting an estimated 100,000 patients in the US and another 220,000 worldwide born each year (1, 2). SCD is caused by a point mutation which disrupts the structure and flexibility and promotes cellular dehydration, which leads to the significant complications of SCD, including severe pain, acute chest syndrome, chronic organ damage, cerebral vascular injury, poor quality of life, and early mortality (14). Improved supportive care, use of hydroxyurea therapy, and red blood cell transfusion therapy have resulted in improved childhood clinical outcomes and survival (5, 6).

Despite these improvements, cerebral vascular injury continues to be associated with significant neurological impairments in patients with SCD. The neurological impairments associated in patients with SCD have been well-documented by our group and others (7, 8). Chronic anemia and decreased oxygen supply are key features of the pathophysiology of SCD and are associated with compensatory increase in cerebral blood flow velocity and directly with cognitive issues. Specifically, chronic anemia can increase the risk of silent cerebral infarction (SCI), which can disrupt neural circuits and affect cognitive processing, potentially leading to lower cognitive skills (9).

Cognitive deficits that have been identified in children with SCD, including patients with and without a documented stroke or silent cerebral infarction, include lower overall intelligence, spatial/constructional deficits, attention and memory weaknesses, working memory issues, lower academic functioning, poor social skills, and abnormal executive functioning (7). Processing speed is a particularly vulnerable domain, with deficits mediating difficulties across other domains (10). Processing speed deficit has previously been associated with increased markers of cerebrovascular damage and represents evidence of accelerated brain damage (11). Stotesbury et al. suggested that reduced processing speed in SCD patients is correlated with hematologic differences that compromise white matter tissue integrity (12). In addition, neurological abnormalities and cognitive impairment often worsens with age in patients with SCD (8).

Neuropsychological testing with the SCD population is very important to document such cognitive issues. Pediatric neuropsychological evaluations routinely employ batteries of tests aimed at discerning strengths and deficits in broadly defined domains of functioning specific cognitive tests for use with the sickle cell population has not been established. As a result, recommendations for tests are typically extrapolated from non-SCD populations. Evidence-based practices for cognitive assessments are well-established in other populations (i.e., pediatric cancer) and are endorsed practices in professional societies, such as American Academy of Pediatrics and American Academy of Neurology. As an example, the DIVERGT is a screener utilizing well-normed, established, and widely used neuropsychological subtests which was developed to target assessment to neurocognitive domains typically affected by cranial radiation and antimetabolite chemotherapy in cancer patients (13). The Children’s Oncology Group (COG) also utilizes an abbreviated, standardized test battery that has been successfully administered in children with other chronic illnesses (i.e., specific types of leukemia and brain tumor diagnoses enrolled in the COG protocol ALTE07C1) (14). These specific domains (working memory, processing speed, executive functions, and fine motor) have also been identified as areas of deficit in patients with SCD. Evidence supports test–retest reliability, sensitivity and specificity, and discriminative and predictive validity of DIVERGT during treatment and survivors of pediatric cancer. Studies using cognitive measures in SCD have used similar measures (15).

Human leukocyte antigen (HLA)-matched sibling allogeneic hematopoietic stem cell transplantation (AlloSCT) and haploidentical stem cell transplant (HISCT) are both forms of stem cell transplantation used in sickle cell disease [i.e., AlloSCT involves obtaining stem cells from a donor who is genetically similar but not identical to the recipient (i.e., can be a sibling, unrelated volunteer, or less commonly, a cord blood unit); with HISCT, the donor is usually a half-matched family member, typically a parent, sibling, or child]. The donor is genetically only half-identical to the recipient. Stem cell transplantation is one of the only demonstrated treatments in patients with SCD that has led to improved health and neurocognitive functioning as reported by our group (16, 17). We previously reported the overall outcome, quality of life, cardio-pulmonary function, long-term donor chimerism, and immune reconstitution in children with high-risk SCD following HISCT (16, 1820); this study is a sub-analysis of our prior Phase II clinical trial. However, its use has been limited by risk of transplantation-related morbidity and mortality and lack of HLA-matched sibling donors who also do not have homozygous SCD. Despite the limitations, patients undergoing HLA-matched sibling AlloSCT have had good neurological outcomes such as lack of new ischemic lesions, reduced cerebral velocities, and stability or improvement in cognitive functioning over time as described by our group and others (2126). HISCT employs treatments that can reduce the risk for rejection and GVHD.

Cognitively, in a study examining cognitive functioning before AlloSCT, SCD patients had lower full scale intelligence quotient (IQ) scores and lower processing speed (23). Post-AlloSCT testing for 5 years found increased IQ and processing speed in SCD patients (23). A recent study evaluating cognition and brain magnetic resonance imaging (MRI) findings indicated stabilization of IQ and central nervous system (CNS) outcomes after unrelated donor SCT despite previous CNS abnormalities (24). Prussien et al. also found improvement in processing speed after AlloSCT (25). Similar investigations have not been done in pediatric patients undergoing HISCT.

The objective of this report was to describe changes in neuroimaging and neurocognitive sequelae in children with high-risk SCD before and following HISCT. We tested the hypothesis that host myeloimmunoablative conditioning (MIAC) followed by HISCT utilizing CD34+ enrichment and mononuclear cell addback in patients with high-risk SCD would result in stable neurological and neurocognitive function due to the treatment’s limiting SCD-related organ damage by donor red blood cell engraftment and chimerism.

2 Materials and methods

2.1 Patients

Eligible patients aged ≥2.0 years and ≤ 20.99 years who were homozygous for hemoglobin S with one or more high-risk factors (i.e., overt stroke, multiple acute chest syndromes, silent stroke, abnormal transcranial doppler, and multiple vaso-occlusive crises) were treated, as previously described (16). Patients received MIAC and familial HISCT utilizing CD34 enrichment and mononuclear cell addback (2×105 CD3/kg) and tacrolimus single agent acute graft-versus-host disease prophylaxis, as we have previously reported [Supplementary Figure S1; (16)].

The study was approved by the institutional review board at each participating institution. Patients and/or their guardians signed written informed consents and/or assents if age applicable.

The study was conducted under an investigator IND (14359) (MSC) and registered at clinicaltrials.gov (NCT01461837).

2.2 Neurocognitive battery

Participants were evaluated with a combination of a well-established neurocognitive screener (DIVERGT) and abbreviated, standardized cognitive and behavioral test battery [Table 1; (13)]. The battery also consists of parent and self-report (when developmentally appropriate) measures administered at three time points: pre-transplant, 1 and 2 years post-transplant. All included measures demonstrate adequate reliability and validity for clinical use. Normative data for all included neuropsychological measures approximates the demographic distribution of the United States based on U.S. census data. Testing was conducted in yearly intervals to minimize practice effects.

Table 1
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Table 1. Neuropsychological test cognitive test battery (DIVERGT/COG-ALTE07C1).

2.3 Measures

The DIVERGT is comprised of six subscales from four, well-established, standardized performance-based measures of neuropsychological functioning (Trail Making Test, Controlled Oral Word Association Test [COWAT-verbal fluency], Digit Span, Symbol Search, Coding [from Weschler Tests], and Grooved Pegboard) (13). Evidence supports test–retest reliability, sensitivity and specificity, and discriminative and predictive validity of DIVERGT during treatment and survivors of pediatric cancer.

Participants’ neuropsychological functioning was further assessed using an abbreviated, standardized test battery that has been successfully administered in children with other chronic illnesses (i.e., specific types of leukemia and brain tumor diagnoses enrolled in the Children’s Oncology Group protocol ALTE07C1) (14). This test battery includes measures of intellectual functioning (Weschler Primary Preschool Scales of Intelligence, 4th Edition, WPPSI-IV; Weschler Intelligence Scales for Children, Fifth Edition, WISC-V; Weschler Adult Intelligence Scales, Fourth Edition, WAIS-IV), memory (Weschler Memory Scales, Fourth Edition, WMS-IV; Children’s Memory Scale, CMS), and also consists of parent- and self-report questionnaires that measure attention/executive functioning, adaptive functioning, and emotional/behavioral functioning (Behavioral Rating Inventory of Executive Functioning, Second Edition, BRIEF-2; Adaptive Behavior Assessment System, Third Edition, ABAS-III; Behavior Assessment System for Children, Third Edition, BASC-3). The version of the test administered was dependent on the age of the participant. There are strong correlations between the child and adult versions, justifying their inclusion in the same analyses. Data were compared to published normative data. The test batteries were administered by a licensed psychologist, neuropsychologist, or psychometrician. See Table 1 for details. Results of quality of life assessment were reported previously, showing significant improvement at 2 years of emotional and physical quality of life (20).

2.4 Neuroimaging

Evaluable patients had a baseline MRI and follow-up MRIs at 1 and 2 years post-HISCT. Robert C. McKinstry, MD, PhD, neuroradiologist, conducted a central blinded review of the imaging scans and provided case report forms for each patient, per MRI imaging guidelines previously discussed (Supplementary Methods S1). Measurement of global atrophy, infarctions, CNS hemorrhage, and cerebral vascular injury were previously defined by DeBaun et al. (27).

2.5 Statistical methods

Descriptive statistics were computed for each domain score at each time point (baseline, 1 year post, and 2 years post). Two-way analysis of variance, repeated measures analysis (mixed effects) was used to assess differences between time points using the GraphPad Prism statistical program (Prism, GraphPad Inc., San Diego, CA, United States). A difference score was used to analyze data across multiple time points as an index of change over time or the difference between two measures using the same sampling unit. Analyses were conducted between age groups (12.9 and under, 13.0 and over) to assess for any age-related change in scores from baseline to the 1- and 2-year assessment. p values less than 0.05 are considered significant and represent an improvement. Stabilization of scores was defined as little statistical variation in the scores over time. This sub-analysis was planned before the beginning of the study, which represented one of the secondary objectives.

3 Results

There were 21 patients who met eligibility for HISCT and were consented on the study. Two patients had peripheral blood stem cells collected and CD34+ enrichment performed from their parental haploidentical donor but later withdrew consent prior to the start of conditioning secondary to social issues. Both are still alive being treated with supportive care. The remaining 19 patients proceeded to HISCT. The age (mean ± standard error of mean) (range) of the 19 HISCT recipients was 13.1 ± 1.2 years (3.3–20.0). The gender ratio was 12/7 male/female. One patient refused to participate in the neurocognitive portion of the study. The resultant evaluable patients were as follows: 10 patients aged 12.9 and younger and eight patients 13 years and older at the baseline assessment. Of the 18 patients tested at baseline, 14 patients were tested at year 1 and 12 patients were tested at year 2 (related to patient deaths, lost to cognitive follow-up). Participant flow and testing diagram is noted in Supplementary Figure S2. Table 2 summarizes study baseline characteristics. The overall event-free survival following HISCT was 90% at 1-year post-transplant, as we have previously reported [Supplementary Figure S3; (16)]. Furthermore, hemoglobin recovery at year 1 and year 2 were improved over time and were found to be in the normal range, and hemoglobin S versus A reflected donor S trait (Supplementary Figures S4A,B, respectively). Finally, whole blood and red cell donor chimerism at 1 year was 97.1 ± 1.4% and 96.4 ± 2.0%, respectively (Supplementary Figures S5A,B).

Table 2
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Table 2. Clinical characteristics and clinical outcome results of HISCT recipients (N = 19).

3.1 Neuroimaging results

At baseline, nine out of evaluable 19 patients had evidence of an infarct (one patient did not have a baseline MRI), one patient with CNS hemorrhage, four patients with cerebral atrophy, and six patients with evidence of cerebral vascular injury (five patients had more than one type of event). At 1-year post-transplant, one individual out of 16 patients had a new infarct, one individual patient with new CNS hemorrhage and one individual patient with progressive atrophy, and no patients had new cerebral vascular injury. At 2 years post-transplant, there were no new overt and/or silent infarcts, no new CNS hemorrhage, no new global atrophy, and no new cerebral vascular injury (Table 3; patient details in Supplementary Table S1).

Table 3
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Table 3. Neuroradiology results (number of events for evaluable patients).

3.2 Cognitive functioning

Eighteen evaluable patients were included in the analysis (one patient refused this portion of the study; 18 patients at baseline, 14 patients at year 1, and 12 patients at year 2). Most patients had both pre-existing cognitive deficits and neuroradiological findings (10/18 patients) at baseline testing, with one or more weaknesses in the areas of intellectual (verbal IQ and non-verbal IQ), processing speed, memory, language, and motor functioning, with weaker motor and processing speed skills being the predominant areas of weakness.

Overall intellectual functioning (verbal IQ and non-verbal IQ), verbal memory, working memory, processing speed, language, and attention/executive functioning scores were within the average range at all three time points, and there were no statistically significant differences between age, gender, and time point. Behavioral and attention functioning was within the average range for baseline, 1 and 2 years post-assessment. Fine motor skills for both baseline and 2 years post-transplant were well below average, but stable over time (stability was defined as little statistical variation over time). Effect size estimates (Cohen’s d) indicated a small sized effect for non-verbal IQ, fine motor skills, verbal memory and emotional functioning, moderate sized effect for processing speed and attention, large size effect for language, and no effect size for working memory (baseline vs. year 2) (Table 4). See Figure 1 for mean ± SEM changes over time and individual changes in Supplementary Figure S6 for subject test scores at baseline versus year 2.

Table 4
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Table 4. Neurocognitive functioning changes from baseline, 1, and 2 years post-HISCT.

Figure 1
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Figure 1. Mean ± SEM changes in neurocognitive measures. (A) Verbal IQ (WAIS-IV, WISC-V, WPPSI-IV, and vocabulary), (B) Non-verbal IQ (WAIS-IV, WISC-V, WPPSI-IV, and block design), (C) WAIS-IV, WISC-V, WPPSI-IV, and processing speed, (D) WAIS-IV, WISC-V, and working memory, (E) CMS, WMS-IV, verbal memory delay, (F) COWAT and language functioning, (G) Grooved pegboard and fine motor skills, (H) BASC-3 and emotional functioning, and (I) BRIEF-2 and attention/executive functioning.

Regarding age-related differences, younger children (<13 years) demonstrated higher baseline (pre-HISCT) scores in language functioning (standard score) (p < 0.023) (Figure 2A), verbal IQ (scaled score) (p < 0.05) (Figure 2B), non-verbal IQ (scaled score) (p < 0.006) (Figure 2B), and processing speed (standard score) (p < 0.05) (Figure 2A) compared to older children (≥13 years). Younger children demonstrated average functioning in these areas, whereas older children performed in the borderline to low average range at baseline testing. At 1 year and 2 years post-HISCT, younger children demonstrated stability in scores, and stability was also seen for older children in these four areas. There were no statistically significant age-related differences with regard to verbal memory, fine motor skills, and emotion and attention functioning. Aggregate trajectories baseline versus 2 years <13 versus ≥13 years are highlighted in Figure 3.

Figure 2
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Figure 2. Age-related differences in neurocognitive functioning. (A) Younger children (<13 years) demonstrated higher baseline scores in language (COWAT) (p < 0.023); processing speed (WISC-V and WPPSI-IV) (p < 0.05) compared to older children (≥13 years) (Standard score). (B) Younger children demonstrated higher verbal IQ (WISC-V, WPPSI-IV, and vocabulary) (p < 0.05); non-verbal IQ (WPPSI-IV and WISC-V) (p < 0.006) compared to older children (≥13 years). (Scaled score).

Figure 3
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Figure 3. Mean ± SEM trajectories in neurocognitive functioning stratified by <13 vs ≥13 years. 1 (A) Verbal IQ (WAIS-IV, WISC-V, WPPSI-IV, Vocabulary), (B) Nonverbal IQ (WAIS-IV, 2 WISC-V, WPPSI-IV, Block Design), (C) Processing Speed, WAIS-IV, WISC-V, WPPSI-IV, 3 (D) Verbal Memory Delay, CMS, WMS-IV, (E) Language Functioning, COWAT, (F) Fine 4 Motor Skills, Grooved Pegboard, (G) Emotional Functioning, BASC-3, (H) Emotional 5 Functioning, BRIEF-2.

Two-way analysis of variance, repeated measures test was also conducted to examine differences between patients with history of stroke (n = 10) and those without history of stroke (n = 8). There were no statistically significant findings with any of the cognitive variables.

4 Discussion

Results of our study indicated stable neuroimaging and neurocognitive function from baseline to 2 years post-HISCT. Hemoglobin A levels were also found to recover over time, with no patients having any SCD-related signs or symptoms after HISCT and long-term donor whole blood and RBC chimerism. Historically, both overt and silent infarcts have been associated with a significant change in full scale, verbal and performance intelligence quotients (28, 29). Our results found overall average intellectual functioning, which was stable over time. Other studies have found similar results, although the cause behind these findings remains inconclusive (30, 31).

In addition, our findings showed improved neurocognitive processing speed 2 years after HISCT. Impaired processing speed in SCD patients is one of the most major deficits in neurocognitive function and appears independent of whether there was an overt and/or silent infarct demonstrated on MRI. Reduced processing speed is likely related to chronic anemia, oxygen desaturation, and integrity of normal white matter (12). The mechanism for white matter injury is not fully understood, but cerebral hemodynamics are often abnormal, increasing the risk of ischemia.

Processing speed can also be susceptible to brain aging and can decrease in age in both normal adults and other populations in general. Adults with symptomatic SCD demonstrate worse processing speed and experience more executive functioning issues than their healthy siblings, despite treatment with hydroxyurea (12). Thus, mild improvement of processing speed at 2 years post-HISCT is quite encouraging, although further follow-up is warranted. Our group also found improved pulmonary functioning 2 years post-HISCT, which may be related to improvements in oxygen saturation and anemia (19).

We explored whether there were age-related differences in cognitive functioning to further assess impact of disease progression. In our study, age-related differences at baseline pre-HISCT were found for verbal and non-verbal IQ, language functioning, and processing speed. Younger children remained relatively stable over time from baseline to 2 years post-transplant. On the other hand, older children had significantly lower baseline scores but stabilized over time post-HISCT and demonstrated no more significant changes. Older children and adults with SCD have been reported to have lower scores than younger children across various cognitive measures, which may be the result of cumulative effects of the cerebral vascular injury within the brain.

Schatz et al. (30) found that older patients with prior infarction were more likely to have coexisting cardiovascular risk factors such as hypertension and diabetes, which contribute to the increased risk of hemorrhage.

Deficits in language functioning are also fairly common among children with SCD and appear to be specific to the neurologic effects of the disease (3235). For example, language weaknesses in syntactical skills have been associated with cerebrovascular infarcts and high cerebral blood flow velocities, even when controlling for disease severity (34). Progression of the disease appears to play a role in age-related differences in language functioning, and school absences may also contribute to the development of language functioning in SCD patients (35). The receptive and expressive language skills of 10 children with strokes due to SCD were significantly poorer than those of their matched controls (33).

In regard to our findings, older children may have experienced greater neurologic events than younger children which may have led to weaker baseline performance. Over time, without progression of neurological events, they were able to recover which may also be related to improved processing speed, allowing for more efficient language retrieval. In addition, older children may have experienced more school absences due to SCD-related symptoms which may have compromised their language development. Return to school may have positively impacted language functioning. Such results speak to the great need for early intervention (36).

Neuroimaging results indicated stable MRI scans over time, which is commensurate with other findings in studies with transplantation. King et al. reported stabilization of IQ and CNS post-HISCT despite prior CNS morbidity and neurological complications after transplant (37). In addition, Walters et al., from our group, previously reported on late effects following HLA-matched sibling donor AlloSCT with myeloablative conditioning in children with severe SCD (17). After AlloSCT, patients with stroke who had stable engraftment of donor cells experienced no subsequent stroke events after AlloSCT and brain MRI scans demonstrated stable or improved results (17).

In a study of neurologic outcomes following myeloablative conditioning and AlloSCT in patients with SCD, 41% of patients transplanted with a matched sibling donor graft for SCD had a history of cerebrovascular abnormalities on imaging before AlloSCT. The majority of patients had improvement or stabilization of their neurologic disease after AlloSCT (38). Patients who underwent neurocognitive testing also showed a statistically non-significant trend toward improvement in IQ and stabilization of IQ and nervous system outcomes after unrelated donor SCT (37).

In a study of patients who underwent matched sibling donor or haploidentical AlloSCT, no patient with sustained engraftment exhibited any clinical evidence of a stroke or progression on imaging studies by 5 years after AlloSCT. MRI, magnetic resonance angiography, and transcranial doppler studies showed improvement in white matter changes and stable or even improved vessel abnormalities. Cognitive functioning was stable after AlloSCT. Thus, overall, AlloSCT seems to limit the progression of organ toxicity from the natural history of severe SCD without AlloSCT (39).

Limitations of the study include small sample size and missing data (i.e., resulting from patient death and lost to cognitive follow-up). In addition, there was a lack of a comparison group to be able to determine if results were related to HISCT or not. Another limitation includes the use of different intelligence tests over time. While these tests are designed to assess cognitive abilities across different age groups, it is important to consider potential differences in test content, format, and administration procedures between editions. Nonetheless, these intelligence tests are widely recognized and accepted tools for longitudinal research to track changes and examine change/stability of cognitive abilities over time. Further studies are necessary to determine if neurocognitive performance remains stable longer than 2 years after the transplant and to compare the data to individuals who have not received transplant and with healthy siblings/peers, which is ongoing in this study. In addition, it will be important to compare neurocognitive outcomes in SCD patients who received HISCT versus gene therapy (40). These results should be compared to other results of HISCT studies in SCD recipients using alternative approaches.

Overall, the results of this study suggest that HISCT utilizing MIAC in high-risk patients with SCD is associated with excellent outcomes and appear to be comparable to HLA-matched sibling AlloSCT. This study also corroborates what other recent studies have found regarding stable cognition and neuroimaging post AlloSCT as we and others have previously reported (41). In addition, this study demonstrates the importance of early treatment delivery, which can decrease or stop further cognitive changes and even improve functioning. Recent guidelines from the American Society of Hematology also placed high importance on and recommended treatments aimed at preventing neurovascular disease and maintaining cognitive function (42). These results will be of significant benefit to general pediatricians and hematologists managing SCD patients.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving humans were approved by the Institutional Review Board (IRB) at New York Medical College. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants’ legal guardians/next of kin. Written informed consent was obtained from the individual(s), and minor(s)’ legal guardian/next of kin, for the publication of any potentially identifiable images or data included in this article.

Author contributions

SB: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Validation, Writing – original draft, Writing – review & editing. EV: Data curation, Formal analysis, Writing – review & editing. MW: Data curation, Formal analysis, Writing – review & editing, Conceptualization. SS: Conceptualization, Data curation, Formal analysis, Writing – review & editing. QS: Data curation, Writing – review & editing, Formal analysis. TM: Data curation, Formal analysis, Writing – review & editing, Conceptualization. J-AT: Conceptualization, Data curation, Formal analysis, Writing – review & editing. SP: Conceptualization, Data curation, Formal analysis, Writing – review & editing, Writing – original draft. AF: Data curation, Formal analysis, Writing – review & editing. AP: Data curation, Formal analysis, Writing – review & editing. SF: Data curation, Formal analysis, Writing – review & editing. EM: Data curation, Formal analysis, Writing – review & editing. HM: Data curation, Formal analysis, Writing – review & editing. JM: Data curation, Formal analysis, Writing – review & editing. RM: Writing – review & editing, Writing – original draft. CD: Writing – review & editing, Data curation, Formal analysis. CV: Data curation, Formal analysis, Writing – review & editing, Writing – original draft. MC: Data curation, Formal analysis, Writing – original draft, Writing – review & editing, Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported in large part by R01FD004090 (MSC) and in small part by the Pediatric Cancer Research Foundation (PCRF). The authors declare that this study received funding from Otsuka and Miltenyi. These funders were not involved in the study design, collection, analysis, interpretation of data, the writing of this article, or the decision to submit it for publication.

Acknowledgments

The authors would like to thank the patients and families who participated in this clinical trial. They also want to acknowledge the members of the Data and Safety Monitoring Committee including Michael Nieder, MD, Daniel Heitjan, PhD, Rupert Handgretinger, MD, PhD, and Russell Ware, MD, PhD. The authors would also like to thank Miltenyi who generously provided the administrative, technical, and material support and generously provided the CD34+ enriched reagents for this study. They thank Virginia Davenport, RN, for her expert editorial assistance.

Conflict of interest

MC has served as a consultant for Jazz Pharmaceuticals, Omeros Pharmaceuticals, Servier Pharmaceuticals, Abbvie and Novartis Pharmaceuticals; Speakers Bureau for Jazz Pharmaceuticals, Amgen, Inc., Sanofi and Sobi; Advisory Board for Astra Zeneca; and research funding from Celularity, Merck, Miltenyi Biotec, Servier, Omeros, Jazz Pharmaceuticals, and Janssen. Although not related to this study, RM has received travel related funding from Siemens Healthineers and Philips Healthcare. EV has received grant support and personal fees from ApoPharma, Inc., and personal fees from Global Blood Therapeutics, Inc., and UptoDate, not related to this study. This study was presented in part at the American Society for Transplantation and Cellular Therapy (ASTCT), Orlando, FL, February, 2020.

The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

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Supplementary material

The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fneur.2024.1263373/full#supplementary-material

References

1. Piel, FB, Patil, AP, Howes, RE, Nyangiri, OA, Gething, PW, Dewi, M, et al. Global epidemiology of sickle haemoglobin in neonates: a contemporary geostatistical model-based map and population estimates. Lancet. (2013) 381:142–51. doi: 10.1016/S0140-6736(12)61229-X

PubMed Abstract | Crossref Full Text | Google Scholar

2. Weatherall, DJ. The inherited diseases of hemoglobin are an emerging global health burden. Blood. (2010) 115:4331–6. doi: 10.1182/blood-2010-01-251348

PubMed Abstract | Crossref Full Text | Google Scholar

3. Lanzkron, S, Carroll, CP, and Haywood, C Jr. Mortality rates and age at death from sickle cell disease: U.S., 1979-2005. Public Health Rep. (2013) 128:110–6. doi: 10.1177/003335491312800206

PubMed Abstract | Crossref Full Text | Google Scholar

4. Piel, FB, Steinberg, MH, and Rees, DC. Sickle cell disease. N Engl J Med. (2017) 376:1561–73. doi: 10.1056/NEJMra1510865

Crossref Full Text | Google Scholar

5. Platt, OS, Brambilla, DJ, Rosse, WF, Milner, PF, Castro, O, Steinberg, MH, et al. Mortality in sickle cell disease. Life expectancy and risk factors for early death. N Engl J Med. (1994) 330:1639–44. doi: 10.1056/NEJM199406093302303

PubMed Abstract | Crossref Full Text | Google Scholar

6. Steinberg, MH. Management of sickle cell disease. N Engl J Med. (1999) 340:1021–30. doi: 10.1056/NEJM199904013401307

Crossref Full Text | Google Scholar

7. Debaun, MR, and Kirkham, FJ. Central nervous system complications and management in sickle cell disease. Blood. (2016) 127:829–38. doi: 10.1182/blood-2015-09-618579

Crossref Full Text | Google Scholar

8. Vichinsky, EP, Neumayr, LD, Gold, JI, Weiner, MW, Rule, RR, Truran, D, et al. Neuropsychological dysfunction and neuroimaging abnormalities in neurologically intact adults with sickle cell anemia. JAMA. (2010) 303:1823–31. doi: 10.1001/jama.2010.562

PubMed Abstract | Crossref Full Text | Google Scholar

9. Choi, S, O'Neil, SH, Joshi, AA, Li, J, Bush, AM, Coates, TD, et al. Anemia predicts lower white matter volume and cognitive performance in sickle and non-sickle cell anemia syndrome. Am J Hematol. (2019) 94:1055–65. doi: 10.1002/ajh.25570

PubMed Abstract | Crossref Full Text | Google Scholar

10. Smith, KE, and Schatz, J. Working memory in children with neurocognitive effects from sickle cell disease: contributions of the central executive and processing speed. Dev Neuropsychol. (2016) 41:231–44. doi: 10.1080/87565641.2016.1238474

PubMed Abstract | Crossref Full Text | Google Scholar

11. Scantlebury, N, Mabbott, D, Janzen, L, Rockel, C, Widjaja, E, Jones, G, et al. White matter integrity and core cognitive function in children diagnosed with sickle cell disease. J Pediatr Hematol Oncol. (2011) 33:163–71. doi: 10.1097/MPH.0b013e3182036f33

PubMed Abstract | Crossref Full Text | Google Scholar

12. Stotesbury, H, Kirkham, FJ, Kolbel, M, Balfour, P, Clayden, JD, Sahota, S, et al. White matter integrity and processing speed in sickle cell anemia. Neurology. (2018) 90:e2042–50. doi: 10.1212/WNL.0000000000005644

PubMed Abstract | Crossref Full Text | Google Scholar

13. Krull, KR, Okcu, MF, Potter, B, Jain, N, Dreyer, Z, Kamdar, K, et al. Screening for neurocognitive impairment in pediatric cancer long-term survivors. J Clin Oncol. (2008) 26:4138–43. doi: 10.1200/JCO.2008.16.8864

Crossref Full Text | Google Scholar

14. Nathan, PC, Patel, SK, Dilley, K, Goldsby, R, Harvey, J, Jacobsen, C, et al. Guidelines for identification of, advocacy for, and intervention in neurocognitive problems in survivors of childhood cancer: a report from the Children's oncology group. Arch Pediatr Adolesc Med. (2007) 161:798–806. doi: 10.1001/archpedi.161.8.798

PubMed Abstract | Crossref Full Text | Google Scholar

15. Daly, B, Kral, MC, and Tarazi, RA. The role of neuropsychological evaluation in pediatric sickle cell disease. Clin Neuropsychol. (2011) 25:903–25. doi: 10.1080/13854046.2011.560190

PubMed Abstract | Crossref Full Text | Google Scholar

16. Cairo, MS, Talano, JA, Moore, TB, Shi, Q, Weinberg, RS, Grossman, B, et al. Familial Haploidentical stem cell transplant in children and adolescents with high-risk sickle cell disease: a phase 2 clinical trial. JAMA Pediatr. (2020) 174:195–7. doi: 10.1001/jamapediatrics.2019.4715

PubMed Abstract | Crossref Full Text | Google Scholar

17. Walters, MC, and Sullivan, KM. Stem-cell transplantation for sickle cell disease. N Engl J Med. (2010) 362:955–6; author reply 956.

PubMed Abstract | Google Scholar

18. Chu, Y, Talano, JA, Baxter-Lowe, LA, Verbsky, J, Morris, E, Mahanti, H, et al. Donor chimerism and immune reconstitution following haploidentical transplantation in sickle cell disease. Front Immunol. (2022) 13:1055497. doi: 10.3389/fimmu.2022.1055497

PubMed Abstract | Crossref Full Text | Google Scholar

19. Friedman, D, Dozor, AJ, Milner, J, D'souza, M, Talano, JA, Moore, TB, et al. Stable to improved cardiac and pulmonary function in children with high-risk sickle cell disease following haploidentical stem cell transplantation. Bone Marrow Transplant. (2021) 56:2221–30. doi: 10.1038/s41409-021-01298-7

PubMed Abstract | Crossref Full Text | Google Scholar

20. Parsons, SK, Rodday, AM, Weidner, RA, Morris, E, Braniecki, S, Shenoy, S, et al. Significant improvement of child physical and emotional functioning after familial haploidentical stem cell transplant. Bone Marrow Transplant. (2022) 57:586–92. doi: 10.1038/s41409-022-01584-y

PubMed Abstract | Crossref Full Text | Google Scholar

21. Bernaudin, F, Socie, G, Kuentz, M, Chevret, S, Duval, M, Bertrand, Y, et al. Long-term results of related myeloablative stem-cell transplantation to cure sickle cell disease. Blood. (2007) 110:2749–56. doi: 10.1182/blood-2007-03-079665

PubMed Abstract | Crossref Full Text | Google Scholar

22. Bhatia, M, Jin, Z, Baker, C, Geyer, MB, Radhakrishnan, K, Morris, E, et al. Reduced toxicity, myeloablative conditioning with BU, fludarabine, alemtuzumab and SCT from sibling donors in children with sickle cell disease. Bone Marrow Transplant. (2014) 49:913–20. doi: 10.1038/bmt.2014.84

PubMed Abstract | Crossref Full Text | Google Scholar

23. Bockenmeyer, J, Chamboredon, E, Missud, F, Benkerrou, M, Holvoet, L, Ithier, G, et al. Development of psychological and intellectual performance in transplanted sickle cell disease patients: a prospective study from pretransplant period to 5 years after HSCT. Arch Pediatr. (2013) 20:723–30. doi: 10.1016/j.arcped.2013.04.012

PubMed Abstract | Crossref Full Text | Google Scholar

24. Green, NS, Bhatia, M, Griffith, EY, Qureshi, M, Briamonte, C, Savone, M, et al. Enhanced long-term brain magnetic resonance imaging evaluation of children with sickle cell disease after hematopoietic cell transplantation. Biol Blood Marrow Transplant. (2017) 23:670–6. doi: 10.1016/j.bbmt.2017.01.007

PubMed Abstract | Crossref Full Text | Google Scholar

25. Prussien, KV, Patel, DA, Wilkerson, K, Armstrong, B, Karnik, L, De La Fuente, J, et al. Improvement in processing speed following haploidentical bone marrow transplant with posttransplant cytoxan in children and adolescents with sickle cell disease. Pediatr Blood Cancer. (2020) 67:e28001. doi: 10.1002/pbc.28001

PubMed Abstract | Crossref Full Text | Google Scholar

26. Woodard, P, Helton, KJ, Khan, RB, Hale, GA, Phipps, S, Wang, W, et al. Brain parenchymal damage after haematopoietic stem cell transplantation for severe sickle cell disease. Br J Haematol. (2005) 129:550–2. doi: 10.1111/j.1365-2141.2005.05491.x

PubMed Abstract | Crossref Full Text | Google Scholar

27. Debaun, MR, Gordon, M, Mckinstry, RC, Noetzel, MJ, White, DA, Sarnaik, SA, et al. Controlled trial of transfusions for silent cerebral infarcts in sickle cell anemia. N Engl J Med. (2014) 371:699–710. doi: 10.1056/NEJMoa1401731

PubMed Abstract | Crossref Full Text | Google Scholar

28. Debaun, MR, Armstrong, FD, Mckinstry, RC, Ware, RE, Vichinsky, E, and Kirkham, FJ. Silent cerebral infarcts: a review on a prevalent and progressive cause of neurologic injury in sickle cell anemia. Blood. (2012) 119:4587–96. doi: 10.1182/blood-2011-02-272682

PubMed Abstract | Crossref Full Text | Google Scholar

29. Quinn, CT, Mckinstry, RC, Dowling, MM, Ball, WS, Kraut, MA, Casella, JF, et al. Acute silent cerebral ischemic events in children with sickle cell anemia. JAMA Neurol. (2013) 70:58–65. doi: 10.1001/jamaneurol.2013.576

PubMed Abstract | Crossref Full Text | Google Scholar

30. Schatz, J, Finke, RL, Kellett, JM, and Kramer, JH. Cognitive functioning in children with sickle cell disease: a meta-analysis. J Pediatr Psychol. (2002) 27:739–48. doi: 10.1093/jpepsy/27.8.739

PubMed Abstract | Crossref Full Text | Google Scholar

31. Wang, W, Enos, L, Gallagher, D, Thompson, R, Guarini, L, Vichinsky, E, et al. Neuropsychologic performance in school-aged children with sickle cell disease: a report from the cooperative study of sickle cell disease. J Pediatr. (2001) 139:391–7. doi: 10.1067/mpd.2001.116935

PubMed Abstract | Crossref Full Text | Google Scholar

32. Arfe, B, Montanaro, M, Mottura, E, Scaltritti, M, Manara, R, Basso, G, et al. Selective difficulties in lexical retrieval and nonverbal executive functioning in children with HbSS sickle cell disease. J Pediatr Psychol. (2018) 43:666–77. doi: 10.1093/jpepsy/jsy005

PubMed Abstract | Crossref Full Text | Google Scholar

33. Davis, P, Landers, A, Gentry, B, Montague, J, Dancer, J, Jackson, J, et al. Speech and language characteristics of children with strokes due to sickle cell disease. Percept Mot Skills. (1997) 85:809–10. doi: 10.2466/pms.1997.85.3.809

PubMed Abstract | Crossref Full Text | Google Scholar

34. Sanchez, CE, Schatz, J, and Roberts, CW. Cerebral blood flow velocity and language functioning in pediatric sickle cell disease. J Int Neuropsychol Soc. (2010) 16:326–34. doi: 10.1017/S1355617709991366

PubMed Abstract | Crossref Full Text | Google Scholar

35. Schatz, J, Puffer, ES, Sanchez, C, Stancil, M, and Roberts, CW. Language processing deficits in sickle cell disease in young school-age children. Dev Neuropsychol. (2009) 34:122–36. doi: 10.1080/87565640802499191

PubMed Abstract | Crossref Full Text | Google Scholar

36. Cairo, M, Parsons, SK, Braniecki, S, Talano, J, Moore, TB, Shi, Q, et al. Significantly improved long term health related quality of life (HRQL) and Neurocognition following familial Haploidentical stem cell transplantation (HISCT) utilizing CD34 enrichment and mononuclear (CD3) addback in high risk patients with sickle cell disease (SCD). Blood. (2018) 132:162. doi: 10.1182/blood-2018-162

Crossref Full Text | Google Scholar

37. King, AA, Mckinstry, RC, Wu, J, Eapen, M, Abel, R, Varughese, T, et al. Functional and radiologic assessment of the brain after reduced-intensity unrelated donor transplantation for severe sickle cell disease: blood and marrow transplant clinical trials network study 0601. Biol Blood Marrow Transplant. (2019) 25:e174–8. doi: 10.1016/j.bbmt.2019.01.008

PubMed Abstract | Crossref Full Text | Google Scholar

38. Bodas, P, and Rotz, S. Cerebral vascular abnormalities in pediatric patients with sickle cell disease after hematopoietic cell transplant. J Pediatr Hematol Oncol. (2014) 36:190–3. doi: 10.1097/MPH.0000000000000089

PubMed Abstract | Crossref Full Text | Google Scholar

39. Dallas, MH, Triplett, B, Shook, DR, Hartford, C, Srinivasan, A, Laver, J, et al. Long-term outcome and evaluation of organ function in pediatric patients undergoing haploidentical and matched related hematopoietic cell transplantation for sickle cell disease. Biol Blood Marrow Transplant. (2013) 19:820–30. doi: 10.1016/j.bbmt.2013.02.010

PubMed Abstract | Crossref Full Text | Google Scholar

40. Ribeil, JA, Hacein-Bey-Abina, S, Payen, E, Magnani, A, Semeraro, M, Magrin, E, et al. Gene therapy in a patient with sickle cell disease. N Engl J Med. (2017) 376:848–55. doi: 10.1056/NEJMoa1609677

PubMed Abstract | Crossref Full Text | Google Scholar

41. Shenoy, S, Angelucci, E, Arnold, SD, Baker, KS, Bhatia, M, Bresters, D, et al. Current results and future research priorities in late effects after hematopoietic stem cell transplantation for children with sickle cell disease and thalassemia: a consensus statement from the second pediatric blood and marrow transplant consortium international conference on late effects after pediatric hematopoietic stem cell transplantation. Biol Blood Marrow Transplant. (2017) 23:552–61. doi: 10.1016/j.bbmt.2017.01.009

PubMed Abstract | Crossref Full Text | Google Scholar

42. Debaun, MR, Jordan, LC, King, AA, Schatz, J, Vichinsky, E, Fox, CK, et al. American Society of Hematology 2020 guidelines for sickle cell disease: prevention, diagnosis, and treatment of cerebrovascular disease in children and adults. Blood Adv. (2020) 4:1554–88. doi: 10.1182/bloodadvances.2019001142

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: pediatric, sickle cell disease, transplant, cognitive functioning, processing speed

Citation: Braniecki S, Vichinsky E, Walters MC, Shenoy S, Shi Q, Moore TB, Talano J-A, Parsons SK, Flower A, Panarella A, Fabricatore S, Morris E, Mahanti H, Milner J, McKinstry RC, Duncan CN, van de Ven C and Cairo MS (2024) Neurocognitive outcome in children with sickle cell disease after myeloimmunoablative conditioning and haploidentical hematopoietic stem cell transplantation: a non-randomized clinical trial. Front. Neurol. 15:1263373. doi: 10.3389/fneur.2024.1263373

Received: 20 July 2023; Accepted: 26 April 2024;
Published: 22 May 2024.

Edited by:

Diego Iacono, MidAtlantic Neonatology Associates (MANA), United States

Reviewed by:

Jeffrey Schatz, University of South Carolina, United States
Fenella Jane Kirkham, University College London, United Kingdom

Copyright © 2024 Braniecki, Vichinsky, Walters, Shenoy, Shi, Moore, Talano, Parsons, Flower, Panarella, Fabricatore, Morris, Mahanti, Milner, McKinstry, Duncan, van de Ven and Cairo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Mitchell S. Cairo, mitchell_cairo@nymc.edu

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.