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Record W4400799597 · doi:10.17816/pmj41315-27

Clinical and non-hemorrhagic neuroimaging indicators of probable cerebral amyloid angiopathy as a cause of non-traumatic lobar hematomas

2024· article· en· W4400799597 on OpenAlexaboutno aff
O. A. Novosadova, V. N. Grigoryeva, П. А. Астанин, M. A. Lesnikov, A. S. Samodurov

Bibliographic record

VenuePerm Medical Journal · 2024
Typearticle
Languageen
FieldMedicine
TopicIntracerebral and Subarachnoid Hemorrhage Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCerebral amyloid angiopathyNeuroimagingMicroangiopathyPathologicalStroke (engine)PathologyDementiaPsychiatryDiabetes mellitusDisease

Abstract

fetched live from OpenAlex

Objective. To identify clinical and non-hemorrhagic neuroimaging indicators of probable CAA in patients with acute non-traumatic lobar hematomas. Cerebral amyloid angiopathy (CAA) is a microangiopathy affecting the leptomeningial and cortical vessels of the brain due to the deposition of pathological b-amyloid in them. The most common clinical manifestation of CAA is lobar hematomas (LH) – spontaneous intracerebral hemorrhages localized between the cerebral cortex and basal ganglia. LH can also occur in hypertensive cerebral microangiopathy (hCMA) in patients with arterial hypertension. Since the tactics of managing patients with CAA and hCMA differ, it is important to determine the genesis of LH correctly. Materials and methods. A comparative analysis of clinical and neuroimaging characteristics of acute non-traumatic hypertension in 32 patients with probable CAA and hCMA was carried out. Along with neurological examination and neuroimaging, all patients underwent a study using the Montreal Cognitive Assessment Scale and the Benson Complex Figure Test to reveal visuospatial impairments. The diagnosis of probable CAA was carried out in accordance with the updated Boston criteria of 2010, the diagnosis of hCMA was based on clinical data, anamnesis and results of neuroimaging of the brain. Results. Probable CAA was diagnosed in 16 patients, and in all these cases it was combined with hCMA (1st subgroup). Isolated hCMA as a cause of LH was also observed in 16 patients (2nd subgroup). Patients of subgroup 1 were statistically significantly more likely to have clinically pronounced visual impairments, performed the MoCA subtest and the Benson Complex Figure Test worse, and the overall assessment of their cognitive functions according to Mo SA was lower than in patients of subgroup 2. According to neuroimaging data, in the 1st subgroup of patients, an expansion of perivascular spaces in the semi-oval center and a zero or negative value of the front-occipital gradient were more often detected. The application of the logistic regression method made it possible to integrate potential CAA indicators and create a prognostic model for revealing this pathology in patients with hypertension. Conclusions. Clinically pronounced disorders of primary and higher visual functions, a negative front-occipital gradient and expansion of perivascular spaces in the semi-oval centers can serve as indicators of probable CAA in patients with acute lobar hematoma. On admission of such patients to the vascular center, it is advisable to include iron-sensitive pulse sequences in the neuroimaging screening protocol to verify the diagnosis of CAA.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.345
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.021
GPT teacher head0.352
Teacher spread0.332 · 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 teacher head, not a consensus.

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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