Characterizing the association between complement-mediated TMA and cognitive dysfunction using MRI and neurocognitive assessment
Bibliographic record
Abstract
Complement-mediated thrombotic microangiopathy (CM-TMA) is a rare, life-threatening thrombotic microangiopathy caused by a defect in the alternative complement pathway. It is associated with renal failure and acute encephalopathy, but long-term neurocognitive effects are uncertain. Using magnetic resonance imaging (MRI) and neurocognitive tests, we can further evaluate the long-term neurocognitive complications in CM-TMA and compare them with controls. In this study, we analyzed microstructural changes in the cerebral white matter and neurocognitive testing results of patients with CM-TMA. Seven adult patients with CM-TMA in remission and 6 healthy controls were included. All patients were treated with C5 complement blockade. They were followed-up for 12 months after study entry. All patients had consecutive MRI scans (standard-of-care and quantitative sequences) to assess for white matter changes and concurrent neurocognitive testing. Patients with CM-TMA had increased white matter signal intensity in most regions of the brain compared with controls. This was accompanied by increased depression and neurocognitive dysfunction (impaired concentration, short-term memory, and verbal memory). These findings were also present up to 12 months after the initial study visit. In summary, patients with previous CM-TMA were found to have significant, albeit nonspecific, cerebral white matter abnormalities, with impaired memory and concentration. Larger studies with longitudinal follow-up to assess neurocognitive complications in CM-TMA are required. This trial was registered at Clinical Trials Ontario (ctontario.ca; project ID: 1318).
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".