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Development and validation of osteoporosis risk assessment score in patients with heart failure: comparison with the osteoporosis self-assessment tool for Asians.
- Source :
-
European Journal of Cardiovascular Nursing . May2024, Vol. 23 Issue 4, p408-417. 10p. - Publication Year :
- 2024
-
Abstract
- Aims Osteoporosis is prevalent and is associated with poor prognosis in patients with heart failure (HF). However, bone mineral density measurement by a dual-energy X-ray absorptiometry (DEXA) scan is not always available in a daily clinical setting or large-scale population-based studies. Methods and results A single-centre, cross-sectional observational study was conducted with 387 patients [median age: 77 years (interquartile range: 68–83 years); 37% women]. Bone mineral densities were measured by DEXA scans, and osteoporosis was diagnosed as ≤−2.5 standard deviation of the bone mineral densities in healthy young adults. Osteoporosis risk assessment score (ORAS) was developed using significant predictors from a logistic regression model for osteoporosis and was subsequently validated. Osteoporosis was found in 103 (27%) of the 387 HF patients. Multivariate logistic regression analyses yielded the ORAS based on sex, body mass index, handgrip strength, and anti-coagulant therapy utilization. The C -index of ORAS in the developmental set (0.796, 95% confidence interval: 0.747–0.845) was similar to the bootstrap validation of the prediction model (0.784) and tended to be higher than that of the osteoporosis self-assessment tool for Asians (OSTA). A nomogram of ORAS, established on the basis of the final logistic regression model, demonstrated 100% sensitivity at the lowest score (35 points), with an optimal cut-off point of 127 points, yielding 85% sensitivity and 62% specificity. Conclusion Osteoporosis risk assessment score exhibits superior predictive performance to OSTA in predicting osteoporosis in HF patients, establishing itself as a valuable tool for early detection in both daily clinical practice and large-scale population-based studies. [ABSTRACT FROM AUTHOR]
- Subjects :
- *OSTEOPOROSIS diagnosis
*PHOTON absorptiometry
*CROSS-sectional method
*STATISTICAL models
*SELF-evaluation
*BONE density
*RESEARCH funding
*PREDICTION models
*BODY mass index
*RESEARCH methodology evaluation
*SCIENTIFIC observation
*LOGISTIC regression analysis
*HEART failure
*DESCRIPTIVE statistics
*MULTIVARIATE analysis
*MANN Whitney U Test
*CHI-squared test
*EXPERIMENTAL design
*RESEARCH methodology
*OSTEOPOROSIS
*MEDICAL screening
*CONFIDENCE intervals
*DATA analysis software
*SENSITIVITY & specificity (Statistics)
*GRIP strength
Subjects
Details
- Language :
- English
- ISSN :
- 14745151
- Volume :
- 23
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- European Journal of Cardiovascular Nursing
- Publication Type :
- Academic Journal
- Accession number :
- 177720847
- Full Text :
- https://doi.org/10.1093/eurjcn/zvad089