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Record W3126320149 · doi:10.1002/acr.24578

Incidence of and Risk Factors for Heart Failure in Patients With Psoriatic Disease: A Cohort Study

2021· article· en· W3126320149 on OpenAlexafffund
Sahil Koppikar, Keith Colaco, Paula Harvey, Shadi Akhtari, Vinod Chandran, Dafna D. Gladman, Richard J. Cook, Lihi Eder

Bibliographic record

VenueArthritis Care & Research · 2021
Typearticle
Languageen
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsToronto Western HospitalUniversity of WaterlooWomen's College HospitalUniversity of Toronto
FundersOntario Ministry of Research, Innovation and ScienceKrembil FoundationArthritis Society
KeywordsMedicineHeart failureInternal medicineCardiologyEjection fractionAtrial fibrillationProportional hazards modelRisk factorCohortIncidence (geometry)Heart diseaseErythrocyte sedimentation rateCohort study

Abstract

fetched live from OpenAlex

OBJECTIVE: To assess the incidence and risk factors for heart failure in patients with psoriatic disease and to describe their electrocardiographic and echocardiographic findings. METHODS: A cohort analysis was conducted involving patients with psoriatic disease followed prospectively from 1978 to 2018. Participants were assessed according to a standard protocol every 6 to 12 months. The primary outcome was the time to first event of heart failure, further classified into ischemic and nonischemic heart failure (secondary outcomes). The association between cardiovascular risk factors, measures of disease activity, and heart failure events was assessed using Cox proportional hazards regression. Electrocardiographic and echocardiographic findings associated with heart failure events were described. RESULTS: A total of 1,994 patients with psoriatic disease were analyzed, with 64 incident heart failure events (38 ischemic, 26 nonischemic). The incidence rate of first heart failure event was 2.85 per 1,000 patient-years. In all events, the most common electrocardiographic findings were atrial fibrillation (22%) and bundle branch blocks (29%). Echocardiogram revealed 37% reduced ejection fraction and 63% preserved ejection fraction. In multivariable analysis, independent risk factors for all heart failure events were ischemic heart disease, adjusted mean tender joint count, adjusted mean swollen joint count, adjusted mean erythrocyte sedimentation rate, adjusted mean C-reactive protein level, and physical function (by Health Assessment Questionnaire) (all P < 0.05). Minimal disease activity state was protective for all heart failure (P < 0.05). CONCLUSION: Increased risk of heart failure is associated with a combination of known cardiovascular risk factors and measures of disease activity, particularly in nonischemic heart failure. The effect of inflammation on heart failure may be partially independent of atherosclerotic disease.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.017
GPT teacher head0.325
Teacher spread0.308 · 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".

Quick stats

Citations22
Published2021
Admission routes2
Has abstractyes

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