Do Biologics Protect Patients With Psoriasis From Myocardial Infarction? A Retrospective Cohort
Bibliographic record
Abstract
BACKGROUND: Psoriasis is a chronic immune-mediated inflammatory disorder that affects approximately 2% to 3% of the population, which translates to 17 million in North America and Europe and approximately 170 million people worldwide. Although psoriasis can occur at any age, most cases develop before age 40 years. Some larger studies have noted bimodal age at onset with the first peak occurring at approximately age 30 years and the second peak at around 55 to 60 years, but most patients have a younger age of onset (15-30 years). Psoriasis is associated with multiple comorbidities, decreased quality of life, and decreased longevity of life. Two recent systematic reviews and a meta-analysis concluded that psoriasis patients are at increased risk of major adverse cardiovascular events. Multiple studies confirm that many of the comorbidities found in patients with psoriasis are also important risk factors for cardiovascular disease, stroke, diabetes mellitus, hypertension, hyperlipidemia, obesity, and metabolic syndrome. METHODS: We conducted a retrospective cohort study using charts from a dermatology clinic combined with an administrative database of patients with moderate to severe psoriasis in Newfoundland and Labrador, Canada. We examined the role of clinical predictors (age of onset of psoriasis, age, sex, biologic use) in predicting incident myocardial infarction (MI). RESULTS: Logistic regression revealed that age of onset (odds ratio [OR], 8.85; P = .005), advancing age (OR, 1.07; P < .0001), and being male (OR, 3.64; P = .018) were significant risk factors for the development of MI. Neither biologic therapy nor duration of biologic therapy were statistically significant risk factors for the development of MI. Our study found that in patients with psoriasis treated with biologics, there was a nonsignificant trend in reduced MI by 78% (relative risk, 0.18; 95% confidence interval, 0.24-1.34; P = .056). CONCLUSION: Our study demonstrated a trend toward decreased MI in patients with moderate to severe psoriasis on biologics. Patients with an early age of onset of psoriasis (<25 years) were nearly 9 times more likely to have an MI. Clinicians should consider appropriate cardiovascular risk reduction strategies in patients with psoriasis.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".