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Systemic inflammatory disease in patients with spontaneous coronary artery dissection

2023· article· en· W4388595153 on OpenAlexaffabout
Min Kyu Kang, S. Offen, Claudia Reddavid, T Grewal, Jacqueline Saw

Bibliographic record

VenueEuropean Heart Journal · 2023
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Issues in Pregnancy
Canadian institutionsVancouver General Hospital
Fundersnot available
KeywordsMedicineScadInternal medicineMyocardial infarctionCardiologyMaceCoronary artery diseaseStroke (engine)Acute coronary syndromePercutaneous coronary intervention

Abstract

fetched live from OpenAlex

Abstract Background Spontaneous coronary artery dissection (SCAD) is an increasingly recognised cause of non-atherosclerotic myocardial infarction (MI). Systemic inflammatory diseases are commonly associated with SCAD patients, but the link between inflammatory diseases and SCAD remains unclear. Purpose To determine the prevalence of systemic inflammatory disease (SID) and elevated inflammatory markers (EIM) at SCAD presentation. To compare long-term outcomes between SCAD patients with and without SID, and with and without EIM at presentation. Methods We reviewed patients enrolled in the Canadian SCAD Study who had laboratory measurements of inflammatory markers at presentation with SCAD. We compared the baseline demographics, presence of SID, presentation characteristics, and long-term outcomes between patients with and without SID, and between patients presenting with and without EIM at time of SCAD. SID was determined using past medical history and patient self-identification. C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR) were used as inflammatory biomarkers. Major adverse cardiovascular events (MACE) were defined as the composite of all-cause mortality, stroke or transient ischemic attack, MI, hospitalization for heart failure and unplanned revascularization. Results Of 1307 patients with SCAD, 360 had inflammatory markers measured at presentation. Of these 360 patients, 150 (43.1%) had EIM at presentation, and 13 (3.6%) reported a history of SID. Mean age was 52.9±9.8 years for patients with EIM, vs. 50.8±10.9years for patients without EIM (p=0.06). Patients with EIM had significantly higher body mass index compared to those without EIM (35.5% vs 17.6%, p=0.001). Of the patients with reported SID, there was higher prevalence of diabetes and hypertension. There was no significant difference in mean inflammatory marker levels, ESR (13.4±15.6mm/h vs 13.7±13.2mm/h, p=0.965) and CRP (15.6± 23.1mg/L vs 11.9± 26.8mg/L, p=0.644) among SID vs. no SID patients at SCAD presentation. Overall mean follow-up was 3.7±1.9 years. There was no difference in in-hospital MACE and overall MACE between patients with EIM vs. no EIM, and between SID and no SID cohorts. There were also no significant difference in angiographic findings, fibromuscular dysplasia prevalence, proportion treated conservatively vs. with revascularization in these cohorts. Conclusion There was no significant difference between presentation, laboratory values, treatment, or outcomes between SCAD patients with or without SID, and between patients who present with and without EIM. This suggests that both active inflammation and history of inflammatory diseases do not contribute to SCAD or outcomes.Table 1.SCAD cohort demographics & data

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score0.692

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.235
Teacher spread0.224 · 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".

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Citations2
Published2023
Admission routes2
Has abstractyes

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