Adverse effects of corticosteroids on the cardiovascular system.
Bibliographic record
Abstract
OBJECTIVE: To review the potential adverse effects of glucocorticoid therapy on the cardiovascular system and to provide insight into the mechanisms of these effects. DATA SOURCES: Case reports and studies demonstrating adverse effects of glucocorticoid therapy on the cardiovascular system were examined from a MEDLINE search. Animal data and in vitro studies were identified to provide insight on the mechanisms of these effects. DATA SYNTHESIS: Undesirable effects identified were dyslipidemia, hypertension and left ventricular free wall rupture after myocardial infarction. Elevations of total plasma cholesterol, triglycerides, low density lipoprotein cholesterol and high density lipoprotein cholesterol are often reported. The elevation of various lipid subfractions is likely mediated by increased plasma insulin levels, impaired lipid catabolism and increased lipid production in the liver. Hypertension was shown to be more prevalent in patients treated with high doses of glucocorticoid. The mechanisms are complex, but final pathways include increased systemic vascular resistance, increased extracellular volume and increased cardiac contractility. Glucocorticoids were demonstrated to increase the incidence of left ventricular free wall rupture by delaying myocardial scar formation in the postmyocardial infarction period. CONCLUSIONS: The major adverse effects of glucocorticoids on the cardiovascular system include dyslipidemia and hypertension. These effects may predispose treated patients to coronary artery disease if high doses and prolonged courses are used. Accordingly, corticosteroids should be employed judiciously in patients with other risk factors for cardiovascular disease, and attention should be paid to risk modification. Low dose and alternate day therapy may reduce the incidence of complications in corticosteroid therapy. The mechanisms of these adverse effects are complex and have not yet been fully explained.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 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) | 0.005 | 0.001 |
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.
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".