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Record W2927165480 · doi:10.1093/rheumatology/kez062

226. LONGITUDINAL ASSOCIATION OF VASCULITIS DISEASE INDEX AND PATIENT-REPORTED OUTCOMES IN PATIENTS WITH ANCA-ASSOCIATED VASCULITIDES

2019· article· en· W2927165480 on OpenAlexaffabout
Nikesh Adunuri, Lillian Barra

Bibliographic record

VenueLara D. Veeken · 2019
Typearticle
Languageen
FieldMedicine
TopicVasculitis and related conditions
Canadian institutionsSt Joseph's Health CareWestern University
Fundersnot available
KeywordsMedicineVasculitisANCA-Associated VasculitisInternal medicineDiseaseAnti-neutrophil cytoplasmic antibodyDermatology

Abstract

fetched live from OpenAlex

Background: ANCA-associated vasculitides (AAV) are rare multi-system diseases causing significant organic and functional morbidity. The Vasculitis Disease Index (VDI) is a physician-based tool that measures disease related damage; whereas the self-reported Health Assessment Questionnaire (HAQ) is commonly used to assess patients’ functional status and predicts long-term disability. The objective of this study is to determine the relationship between VDI, HAQ and other patient-reported outcomes over the course of disease. Methods: A retrospective chart review was performed for all AAV patients seen at St. Joseph’s Healthcare (London, Canada). For each patient, baseline demographics, clinical information, VDI, and patient-reported scores (HAQ, pain and global) were collected from point of initial contact (visit 0) and every 3 months (if active disease) to every 6 months (if remission). A mixed-model repeated measures regression analysis was undertaken using SPSSv21.0 with VDI as the dependent variable and patient-reported scores as covariates where the model accounted for within/between patient differences (subject variable) and visits (repeated measure). Missing data was excluded pair-wise (<10%). Results: A total of 93 patients were included with an average age of 60.2 years (SD = 17.6), 51/93 (55%) males, 87/93 (94%) Caucasian and 6/93 (6.5%) deaths. 57 (61%) had a diagnosis of GPA, 27 (29%) EGPA and 9 (9.7%) MPA; 48 (52%) were positive for anti-PR3/cANCA and 29 (31%) anti- MPO/pANCA. In addition to corticosteroids, induction therapies used were Cyclophosphamide (57%) and Rituximab (43%). The most frequently used maintenance therapies were Azathioprine (39/93) and Methotrexate (50/93). The mean duration of follow-up was 35.6 months (SD = 26) and the mean duration of disease activity was 6.7 years (SD = 5.6). Figure 1 depicts mean scores over time. The regression analysis showed a significant association between VDI and HAQ (HAQ score increases by 0.64 (SE = 0.17) for one unit increase in VDI) (p-value < 0.0001). There was no significant relationship between VDI and other patient-reported outcomes. Conclusion: Our study shows a significant positive relationship between VDI and HAQ scores over the follow-up period, indicating that increased organic damage correlates with worsening function over-time. Calculating VDI scores during clinic visits should be considered a standard practice. Graphical representation of mean scores over time of VDI, HAQ, pain and global scores. Error bar represents 95% confidence interval. Disclosures: None

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)0.002
metaresearch head score (Gemma)0.004
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 score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.006
GPT teacher head0.220
Teacher spread0.214 · 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
Published2019
Admission routes2
Has abstractyes

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