Characterizing Coronary Heart Disease Risk in Chronic Schizophrenia: High Prevalence of the Metabolic Syndrome
Bibliographic record
Abstract
OBJECTIVE: To determine the prevalence and characteristics of coronary heart disease (CHD) risk factors in patients with chronic schizophrenia or schizoaffective disorder. METHOD: We compared individual CHD risk factors and Framingham risk predictions in a group of 240 patients with a large national sample (Canadian Heart Health Survey) matched for age and sex. In addition, we compared rates of the metabolic syndrome (syndrome X) with recently published rates in the US adult population. RESULTS: Compared with the reference population, Framingham 10-year risk of myocardial infarction was greater in the male patients (t3091 = 4.35, P < 0.001) but not in the female patients. Prevalence rates of the metabolic syndrome in the patients (42.6% of men and 48.5% of women) were approximately 2 times published rates in the US adult population. Further, the syndrome appears to occur at a younger age than in the general population. CONCLUSIONS: These long-term patients have increased CHD risks best captured by the metabolic syndrome conceptualization coupled with a high rate of cigarette smoking. This characterization is consistent with increased cardiovascular morbidity and decreased life expectancy in both men and women. We underscore the importance of both screening for and treating potentially reversible CHD risk factors in schizophrenia patients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".