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Record W1984841146 · doi:10.1191/096120300669204787

Vascular events in hypertensive patients with systemic lupus erythematosus

2000· article· en· W1984841146 on OpenAlexafffundabout
Proton Rahman, Santiago Agüero, Dafna D. Gladman, David Hallett, Murray B. Urowitz

Bibliographic record

VenueLupus · 2000
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsUniversity Health NetworkToronto Western Hospital
FundersUniversity of TorontoArthritis Society
KeywordsMedicineInternal medicineCohortCardiologyVascular diseaseLogistic regression

Abstract

fetched live from OpenAlex

Our purpose was to examine prospectively the relationship between systemic hypertension and vascular events in patients with SLE. SLE patients followed in the University of Toronto Lupus Clinic presenting between 1980 and 1988 and within one year of their diagnosis of SLE were identified. Standard definitions were used for hypertension and for all vascular events (MI, angina, CVA, PVD). The presence of traditional CAD risk factors, along with disease- and therapy-related risk factors for the development of vascular disease, were compared in the hypertensive and normotensive group. A multivariate logistic regression was performed to determine the best predictor of a vascular event. One hundred and fifty patients were identified in our inception cohort [75 hypertensive (50%) and 75 (50%) normotensive]. Seventeen hypertensive patients (22.7%) had at least one vascular event as compared to six (8.0%) normotensive patients (p = 0.022). The vascular events included 7 with CAD, 5 with CVA, and 5 with PVD in the hypertensive group while in the normotensive group 3 patients developed CAD, 2 CVA and 1 PVD. Fifteen deaths were recorded in the hypertensive group as compared to eight deaths in the non-hypertensive groups (P = 0.09). The groups were comparable with respect to associated risk factors, except for higher frequency of hypercholesterolemia (P = 0.003), azotemia (P = 0.001) and corticosteroid use (P = 0.038) in the hypertension group. In a multivariate analysis the best predictor of a vascular event was hypercholesterolemia (OR 6.9, 95% CI 2.4-24.8, P < 0.001). We conclude that systemic hypertension is associated with an increased frequency of vascular events in SLE. This is best explained by its association with hypercholesterolemia.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.656
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.011
GPT teacher head0.240
Teacher spread0.229 · 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

Citations59
Published2000
Admission routes3
Has abstractyes

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