A - 87 Exploring the Utility of the Montreal Cognitive Assessment to Identify Neurocognitive Deficits among Adult Patients with Sickle Cell Disease
Bibliographic record
Abstract
Abstract Objective Neurocognitive deficits associated with sickle cell disease (SCD) have been well established in the pediatric population but studies examining the adult neurocognitive profile are lacking. This study examined the utility of the Montreal Cognitive Assessment (MoCA) to screen patients for cognitive impairments within a multidisciplinary adult sickle cell clinic. Method Patients who presented to their scheduled appointment at the UCSF Benioff Children’s Hospital Oakland Adult Sickle Cell Clinic were provided psychoeducation and offered neurocognitive screening. Those that accepted completed a brief clinical interview and were screened with the MoCA by neuropsychology externs or a licensed clinical psychologist. Results A sample of 24 patients (M age = 37.63, age range = 18–75; female =58.33%) were screened with the MoCA. Of patients screened, 41.67% (n = 10) were identified as mildly impaired (M score = 22) and 16.67% (n = 4) were identified as moderately impaired (M score = 15.5), consistent with other studies in the literature. Overall MoCA score and the memory subdomain were both negatively correlated with increasing age (r = −0.15, p < 0.05 and r = −0.06, p < 0.05 respectively). Conclusions Utilizing the MoCA, our study demonstrates a notable prevalence of cognitive impairment identified in 58.43% of adult SCD patients, with a marked decline associated with advancing age. These findings suggest the MoCA’s utility; however, further research is needed to understand the validity of this measure in detecting the varying levels of cognitive impairment in adult SCD patients. Such measures could significantly enhance the care and quality of life for individuals with SCD and address age disparities in SCD, where resources for adult patients are much more limited.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".