Development and validation of a risk prediction model for adverse outcomes in patients with suspected coronary artery disease and no significant stenosis on angiography: a retrospective cohort study

Objectives
To develop and validate a risk prediction model for adverse outcomes in patients with angina with non-obstructive coronary arteries (ANOCA) confirmed by invasive coronary angiography.

Design
Retrospective cohort study.

Setting
A tertiary cardiovascular care centre in China.

Participants
From 17 816 consecutive patients undergoing coronary angiography for suspected coronary artery disease, 5934 met ANOCA criteria after rigorous exclusion: (1) significant stenosis (≥50% luminal narrowing), (2) established coronary artery disease history, (3) incomplete baseline/follow-up data, (4) non-cardiovascular life-limiting conditions.

Primary and secondary outcome measures
The primary outcome was a composite of all-cause death, non-fatal myocardial infarction (MI), stroke and repeat percutaneous coronary intervention (PCI) or coronary artery bypass grafting (CABG). The secondary outcome was major adverse cardiovascular events, defined as cardiac-related death, non-fatal MI, non-fatal stroke, repeat PCI and CABG.

Results
The derivation cohort (n=4452) and validation cohort (n=1482) demonstrated comparable baseline characteristics. The nomogram incorporated eight prognosticators: age, haemoglobin, serum urea, serum sodium, alanine aminotransferase/aspartate aminotransferase ratio, N-terminal pro-B-type natriuretic peptide (NT-proBNP), left atrial diameter and left ventricular ejection fraction. The prediction model showed robust discrimination for primary endpoint, achieving area under the curve (AUC) values of 0.82 (1 year), 0.90 (2 years) and 0.89 (3 years) in the derivation cohort, with corresponding validation cohort AUCs of 0.75, 0.77 and 0.78. Calibration plots revealed close alignment between predicted and actual event-free survival probabilities in both cohorts. Risk stratification identified two distinct prognostic groups with significant survival differences (log-rank p

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Intensive Lowering of LDL Cholesterol Levels With Evolocumab in Autoimmune or Inflammatory Diseases: An Analysis of the FOURIER Trial

Circulation, Ahead of Print. BACKGROUND:Patients with an autoimmune or inflammatory disease (AIID) are at increased cardiovascular risk and may benefit more from statin therapy. In the FOURIER trial (Further Cardiovascular Outcomes Research with PCSK9 Inhibition in Subjects with Elevated Risk), the PCSK9 (proprotein convertase subtilisin/kexin type 9) inhibitor evolocumab lowered low-density lipoprotein cholesterol levels, but not hsCRP (high-sensitivity C-reactive protein) levels, and reduced the risk of cardiovascular events.METHODS:FOURIER was a randomized trial of evolocumab versus placebo in 27 564 patients with stable atherosclerosis who were taking statins. This analysis focused on the effect of evolocumab in patients with or without an AIID, defined as any autoimmune or chronic inflammatory condition. The primary end point was a composite of cardiovascular death, myocardial infarction, stroke, unstable angina, or coronary revascularization.RESULTS:At baseline, 889 patients (3.2%) had an AIID, most commonly rheumatoid arthritis (33.7%) or psoriasis (15.6%). Median (interquartile range) low-density lipoprotein cholesterol levels were 90.0 mg/dL (79.5–105.5) and 91.5 mg/dL (79.5–108.5) in patients with or without an AIID, respectively (P=0.025), and the placebo-adjusted percent reduction with evolocumab was consistent (60.2% versus 59.0%;P=0.57). Baseline hsCRP was higher in patients with an AIID (median 2.1 versus 1.7 mg/L;P

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