The Unrecognized Burden of Osteoporosis-Related Vertebral Fractures in Patients With Heart Failure
Bibliographic record
Abstract
BACKGROUND: Heart failure (HF) is associated with several factors that contribute to both reduced bone mineral density and increased risk of osteoporosis-related fractures. Our objectives were to describe the prevalence and predictors of the most common osteoporotic fracture, vertebral compression fractures (VCF), in patients with HF. METHODS AND RESULTS: We conducted a cross-sectional study in a random sample of patients attending a tertiary care HF Clinic in Edmonton, Alberta, Canada. We collected sociodemographic, clinical, medication, and chest radiograph information. Primary outcome was board-certified radiologist-documented VCF on chest radiographs. Multivariable logistic regression was used to determine independent correlates of VCF. Overall, 623 patients with HF were included; 32% were over 75 years of age, 31% were women, 65% had ischemic cardiomyopathy, and 38% had atrial fibrillation. Prevalence of VCF was 77 of 623 (12%; 95% confidence interval, 10% to 15%), and 42 of 77 (55%) patients had multiple fractures. Only 15% of those with VCF were treated for osteoporosis. In multivariable analyses adjusted for age, female sex, weight, and medications, the only remaining predictors independently associated with fracture were atrial fibrillation (present in 42 of 77 [55%] of those with VCF versus 197 of 540 [36%] of those without; adjusted odds ratio, 2.1; 95% confidence interval, 1.2 to 3.6; P=0.009) and lipid-lowering drugs (used by 36 of 77 [47%] of those with VCF versus 342 of 540 [63%] of those without; adjusted odds ratio, 0.2; 95% confidence interval, 0.1 to 0.9; P=0.03). CONCLUSIONS: About one-tenth of HF patients had a chest radiograph-documented VCF, and half of those with VCF had multiple fractures; most (85%) were not receiving an osteoporosis-specific therapy. A previously unrecognized risk factor-atrial fibrillation-was found to be independently associated with VCF. Chest radiograph reports may represent an important case-finding tool for osteoporosis-specific VCF, particularly in HF patients with atrial fibrillation.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".