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Record W4310152998 · doi:10.1182/blood-2022-166596

Cognitive Assessment in Brazilian Adults with Sickle Cell Disease (SCD): The Burdens of Sociocultural Background and Correlations with Neuroimaging Findings

2022· article· en· W4310152998 on OpenAlexaboutno aff
Pedro Junqueira Fleury Silva, Caroline Martins Silva, Brunno Machado de Campos, Paula de Melo Campos, Samuel de Souza Medina, Andreza Lamônica, Fernando Cendes, Fernando Ferreira Costa, Sara T. Olalla Saad, Bruno Deltreggia Benites

Bibliographic record

VenueBlood · 2022
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMontreal Cognitive AssessmentCognitionNeuroimagingMedicineCognitive declineDiseasePsychologyInternal medicineDementiaPsychiatryCognitive impairment

Abstract

fetched live from OpenAlex

Introduction: Sickle Cell Disease patients are at increased risk of developing silent cerebral infarcts. These can lead to cognitive impairment, reflected, for instance, in low academic and occupational performance, and the recognition of patients affected by cognitive decline is important to create focused therapeutic plans. Our aim was to screen the cognitive function of adult SCD patients through the Montreal Cognitive Assessment (MoCA) questionnaire and correlate these findings with possible predictive factors for test performance, including clinical and demographic data and anatomical findings of brain imaging. Methods: This study included 124 adult patients with SCD followed at a specialized Hematology Center in southeastern Brazil. The MoCA questionnaire was applied with the aim of detecting cognitive decline (a punctuation of 25 or less in a 30-point score) by analyzing 7 domains of cognitive function: visual-spatial; executive; attention; concentration and executive memory; language and orientation. The demographic, clinical and laboratorial data acquired from patients' medical records were evaluated for associations with MoCA results. Magnetic Resonance Imaging (MRI) with voxel-based morphometric analysis (VBM) was also used to analyze alterations in the macrostructure of the brain in 28 of these patients. Results: 124 patients (68 males, 56 females) were included: 79 homozygous SS, 28 HbSC, 10 Sβ0 e 07 Sβ+; and the median age was 44 (19-70) years. The median MoCA score was 23 points (8-30) and 87 (70%) patients scored less than 26, suggesting some level of cognitive impairment. The study did not reveal significant associations between MoCA results and any of the clinical or laboratorial data: hemoglobin levels; cell counts; hemolysis/inflammation markers; genotype; hydroxyurea use; body mass index; transfusion load throughout life and clinical complications (retinopathy, strokes, bone necrosis, leg ulcers, chronic kidney disease, priapism and acute chest syndrome). However, important correlations were shown with: age (Pearson correlation: r= -0.316; p<0.001); age at first job (r=0.221;p=0.018); personal income (r=0.23;p=0.012), per capita family income (r=0.303;p=0.001); educational status (schooling in years) of the patient (r=0.61;p=0) and of their parents (mother: r=0.536,p = 0; father: r=0.441,p=0). Morphometric images of the gray matter of 28 patients in this cohort were compared to 50 healthy controls and showed areas of significant atrophy in patients' cerebellum, left frontal and occipital lobes and bilateral temporal lobe. 9 of these patients repeated the MRI after 1 year (all HbSS, ranging from 36 to 55 y.o.), and progressive atrophy was observed in the right temporal and left frontal lobes and basal ganglia, despite the short interval time. Discussion: These results demonstrate the high prevalence and impact of cognitive decline in adult SCD patients, despite the lack of documentation of acute ischemic events. The results of the cognitive tests were mirrored in the neuroimaging of some of these patients, with documentation of atrophy in important areas related to information processing and executive function. In addition, the importance of the influence of sociodemographic conditions on the cognitive performance of Brazilian patients can be observed, as perceived by the association between the worse results in the MoCA and the low education of parents and patients, low income and need to work at an early age. We speculate that the impact of the unfavorable socioeconomic environment to which these patients are exposed is expressive to the point that the observation of the associations with other possible determinants of cognitive deficits, such as the occurrence of previous stroke and parameters of inflammation and hemolysis, is prevented.

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 score0.014
Threshold uncertainty score0.027

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 communication0.0000.000
Open science0.0000.000
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 spread0.234 · 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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Citations0
Published2022
Admission routes1
Has abstractyes

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