Diagnosis of Learning Disabilities but not Academic Difficulties Alone is Associated with Neurocognitive Impairment in People Living with HIV: Evidence from Clinical Research to Support and Refine the Current HAND Diagnostic Guidelines
Bibliographic record
Abstract
Diagnosing HIV-associated neurocognitive disorder (HAND) is a complex process aimed at determining the role of HIV versus other causes of neurocognitive impairment. In treated people with living long-term HIV infection, this process is further complicated by the presence of multiple medical and psychiatric comorbidities and varied educational history. Evidence-based research is therefore needed to refine the 2007 HAND diagnostic criteria on how to consider multimorbidity in making differential diagnoses. This is the case for presence of academic difficulties versus diagnosis of learning disabilities (LD), which have not been systematically studied in relation to HAND, and especially in relation to the presence of cognitive and depressive symptoms. The current study included 903 people with HIV referred for a comprehensive neuropsychological assessment of HAND at the Neurobehavioural Clinical-Research Unit (St. Michael's Hospital in Toronto, ON, Canada). Pre-morbid ability was assessed prior to standard testing and participants were classified into LD groups: No learning disabilities (n = 474), academic difficulties (n = 352) or diagnosed learning disability (LD, n = 77). The neuropsychological test battery assessed domains of complex attention, learning and memory, psychomotor efficiency, and executive functioning, and performance was adjusted with demographic corrections. Neurocognitive impairment (NCI) status was determined using the global deficit score method (GDS ≥ 0.5 detecting at least mild global NCI). Depressive symptoms were assessed with the Beck Depression Inventory (BDI), and cognitive symptoms with the Patient's Assessment of Own Functioning (PAOFI). Logistic regression models were used to assess odds of NCI in the three groups while considering main and interactive effects of clinically relevant depression (BDI > 10) or elevated cognitive symptoms (PAOFI > 3). Only LD diagnosis was significantly associated with increased odds of NCI, OR = 1.90, 95% CI (1.15, 3.14). In the same model, both cognitive symptoms, OR = 1.97, 95% CI (1.50, 2.58), and depression symptoms OR = 1.39, 95% CI (1.06, 1.82) were also significantly associated with increased odds of NCI, but not their interaction. Diagnosis of LD, but not academic difficulties alone, is associated with increased odds of NCI among treated persons living with HIV who are clinically referred. While this was in part independent of depression and cognitive symptoms, adults with HIV and LD diagnosis who had high depression and cognitive symptoms had greatest odds of NCI. These findings assist in the refinement of the current HAND diagnostic guidelines.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".