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Record W4405718199 · doi:10.1093/brain/awae406

Distinctive clinical features in biopsy-proven nerve large-arteriole vasculitis and microvasculitis

2024· article· en· W4405718199 on OpenAlexaff
Pannathat Soontrapa, Marcus Vinícius Pinto, Kamal Shouman, Jay Mandrekar, JaNean Engelstad, Catarina Aragon Pinto, Sean Taylor, Michelle L. Mauermann, Sarah E. Berini, E. Peter Bosch, Devon I. Rubin, Matthew J. Koster, Cornelia M. Weyand, Kenneth J. Warrington, Christopher J. Klein, Peter James Dyck

Bibliographic record

VenueBrain · 2024
Typearticle
Languageen
FieldMedicine
TopicVasculitis and related conditions
Canadian institutionsDalhousie University
FundersNational Center for Advancing Translational SciencesNational Institute of Arthritis and Musculoskeletal and Skin DiseasesNational Institute of Allergy and Infectious DiseasesNational Heart, Lung, and Blood InstituteCenter for Clinical and Translational Science, Mayo ClinicNational Institutes of Health
KeywordsMedicineVasculitisNerve biopsyArterioleSural nerveInternal medicineOdds ratioPolyneuropathyBiopsyPathologyGastroenterologyPeripheral neuropathyDiabetes mellitusDiseaseMicrocirculationEndocrinology

Abstract

fetched live from OpenAlex

Vasculitic neuropathy is caused by inflammatory destruction of nerve blood vessels resulting in nerve ischaemia. Nerve vasculitis can be divided into two categories based on vessel size: large-arteriole vasculitis (≥75 µm) and microvasculitis (<75 µm). Herein, we characterize the clinical features of nerve large-arteriole vasculitis in comparison to nerve microvasculitis. This is a retrospective cohort study of patients evaluated and biopsied at Mayo sites between 2001 and 2020. We collected clinical and histopathological data from patients whose nerve biopsies were either diagnostic or highly suggestive of nerve vasculitis. Two hundred and seventy-eight cases were identified: 125 cases of large-arteriole vasculitis and 153 cases of microvasculitis. Nerve large-arteriole vasculitis presented with a more acute (50.4% versus 26.8%) versus chronic onset (33.6% versus 57.5%) than nerve microvasculitis (P = 0.0001). Nerve microvasculitis had longer mean time to diagnosis (10.5 versus 4.3 months; P < 0.0001) and longer time to plateau (8.9 versus 3.5 months; P < 0.0001). Nerve large-arteriole vasculitis typically presented as distal asymmetric polyneuropathy (48.0%), whereas nerve microvasculitis typically presented as radiculoplexus neuropathy/polyradiculoneuropathy (more proximal involvement of shoulder and thigh) (43.8%) (P < 0.0001). Systemic autoimmune disease was more common in nerve large-arteriole vasculitis (70.4% versus 22.9%, odds ratio, 8.0; 95% confidence interval, 4.7-13.7; P < 0.0001). Nerve microvasculitis was significantly related to non-systemic vasculitis (71% versus 23%, odds ratio, 7.9; 95% confidence interval, 4.6-13.6; P < 0.0001). Nerve microvasculitis had more autonomic involvement (24.2% versus 7.2%, odds ratio, 4.1; 95% confidence interval, 1.9-8.9; P = 0.0002). Nerve large-arteriole vasculitis and nerve microvasculitis have different but overlapping clinical features. Nerve large-arteriole vasculitis usually presents with acute onset, distal asymmetric polyneuropathy, associated with other autoimmune diseases and systemic involvement. In contrast, nerve microvasculitis usually presents with a subacute/chronic onset, as radiculoplexus neuropathy/polyradiculopathy (distal and proximal pattern) with autonomic involvement, and is more often a form of non-systemic vasculitis.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.770
Threshold uncertainty score0.579

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.306
Teacher spread0.295 · 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.

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".

Quick stats

Citations4
Published2024
Admission routes1
Has abstractyes

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