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Record W3211771177 · doi:10.1182/blood-2021-152383

Mobility and Muscle Strength in Recipients of Hematopoietic Cell Transplantation for Sickle Cell Disease: A Preliminary Report from Sickle Transplant Evaluation of Longterm and Late Effects Registry (STELLaR)

2021· article· en· W3211771177 on OpenAlexaff
Anirudh Veludhandi, Tami John, Nitya Bakshi, Staci D. Arnold, Monica Bhatia, Peter A. Lane, Lillian R. Meacham, Kirshma Khemani, Sonali Chaudhury, Festus Olusola Olowoselu, Kimberly A. Kasow, Matthew M. Hsieh, Allistair Abraham, Gregory M.T. Guilcher, Lakshmanan Krishnamurti

Bibliographic record

VenueBlood · 2021
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsAlberta Children's Hospital
Fundersnot available
KeywordsMedicineTransplantationHematopoietic stem cell transplantationDiseaseAnemiaSickle cell anemiaPediatricsInternal medicinePhysical therapy

Abstract

fetched live from OpenAlex

Abstract Introduction Recipients of Hematopoietic Cell Transplantation (HCT) are at risk for treatment related late effects including cardiovascular disease and diabetes. Physical fitness including mobility and muscle strength are important predictors of cardiovascular health and quality of life. Physical fitness has been described in children and adults who are long term survivors of HCT for malignant disease [1]. Patients with sickle cell disease (SCD) are likely to be subject to unique morbidity post-HCT as a consequence of the pathophysiology of SCD which is characterized by anemia, inflammation, pain, bone infarcts and neurological complications. A systematic assessment of physical fitness is required to understand some of the long-term outcomes HCT for SCD. Methods We enrolled patients with SCD ≥ 1-year post-HCT in Sickle Transplantation Evaluating Long Term And Late Effects Registry (STELLaR). We assessed physical fitness including mobility using the timed up and go (TUG) test, and muscle strength using the handgrip strength (HGS) test. TUG scores were compared with published normative data for children (mean 9.2s; SD = 0.8) and young adults (mean 10.5s, SD = 1.1) [2]. TUG scores ≥ mean+ 2SD were considered abnormal (children: ≥10.8s, young adults ≥12.7s). The HGS of each patient was compared to published normative data of children and adults [3,4]. Patients ≤12 years were abnormal if they had a HGS of two standard deviations below the mean. Patients ≥13 years were considered abnormal if they had a HGS lower than the lower limit of the 85% age-sex standard. Additionally, patients were also assessed for chronic graft versus host disease (cGvHD) by means of the Lee Chronic GvHD Symptom Scale [5]. Patients rated their extent of being bothered by cGvHD symptoms on a scale from 1 to 5, with 1 being not at all and 5 being extremely. These scores were then organized into 7 categories of cGVHD symptoms and normalized to a 0-100 scale. We report the results of an interim analysis of physical fitness in these HCT recipients. Results Out of 121 patients enrolled in the study, 37 HCT recipients were assessed for mobility using the TUG test, and for muscle strength using the HGS test. Children were defined as being below the age of 18 and young adults between 18 and 40 years of age. Patient demographic and clinical results for TUG and HGS are presented in Table 1. Young adult participants were more likely to have abnormal TUG and HGS results than pediatric study participants. Patient self-reporting of overall (summary) cGvHD symptoms was found to be statistically significant between children and young adults (p=0.037) with young adults iappearing to be slightly more bothered by GvHD symptoms. There was no correlation in length of time in years between a patient's transplant and whether or not there was abnormal physical fitness (TUG and HGS) for both the young adult and children cohorts. Conclusions These data suggest the existence of impaired physical fitness in the long term in SCD patients who are HCT recipients. They provide the rationale for systematic evaluation of physical fitness and other risk factors for cardiovascular disease post-HCT. References 1. Slater, M. E., Steinberger, J., Ross, J. A., Kelly, A. S., Chow, E. J., Koves, I. H., ... & Baker, K. S. (2015). Physical activity, fitness, and cardiometabolic risk factors in adult survivors of childhood cancer with a history of hematopoietic cell transplantation. Biology of Blood and Marrow Transplantation, 21(7), 1278-1283. 2. Mangano, G. R., Valle, M. S., Casabona, A., Vagnini, A., & Cioni, M. (2020). Age-related changes in mobility evaluated by the timed up and go test instrumented through a single sensor. Sensors, 20(3), 719. 3. Omar, M. T., Alghadir, A. H., Zafar, H., & Al Baker, S. (2018). Hand grip strength and dexterity function in children aged 6-12 years: A cross-sectional study. Journal of Hand Therapy, 31(1), 93-101. 4. Webb, A. R., Newman, L. A., Taylor, M., & Keogh, J. B. (1989). Hand grip dynamometry as a predictor of postoperative complications reappraisal using age standardized grip strengths. Journal of Parenteral and Enteral Nutrition, 13(1), 30-33. 5. Lee, S. J., Cook, E. F., Soiffer, R., & Antin, J. H. (2002). Development and validation of a scale to measure symptoms of chronic graft-versus-host disease. Biology of Blood and Marrow Transplantation, 8(8), 444-452 Figure 1 Figure 1. Disclosures Guilcher: BlueBirdBio: Research Funding; Project Sickle Cure Study: Other: Principal Investigator, Research Funding.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.008
GPT teacher head0.242
Teacher spread0.233 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Published2021
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