dc.creator | Coco Martín, M. B. | es |
dc.creator | Leal Vega, L. | es |
dc.creator | Blázquez Cabrera, J. A. | es |
dc.creator | Navarro, A. | es |
dc.creator | Moro, M. J. | es |
dc.creator | Arranz García, F. | es |
dc.creator | Montoya García, María José | es |
dc.creator | Pérez Castrillón, J. L. | es |
dc.date.accessioned | 2023-10-26T12:57:12Z | |
dc.date.available | 2023-10-26T12:57:12Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Coco Martín, M.B., Leal Vega, L., Blázquez Cabrera, J.A., Navarro, A., Moro, M.J., Arranz García, F.,...,Pérez Castrillón, J.L. (2022). Comorbidity and osteoporotic fracture: approach through predictive modeling techniques using the OSTEOMED registry. AGING CLINICAL AND EXPERIMENTAL RESEARCH, 34 (9), 1997-2004. https://doi.org/10.1007/s40520-022-02129-5. | |
dc.identifier.issn | 1594-0667 | es |
dc.identifier.uri | https://hdl.handle.net/11441/149925 | |
dc.description.abstract | Purpose To examine the response to anti-osteoporotic treatment, considered as incident fragility fractures after a minimum
follow-up of 1 year, according to sex, age, and number of comorbidities of the patients.
Methods For this retrospective observational study, data from baseline and follow-up visits on the number of comorbidities,
prescribed anti-osteoporotic treatment and vertebral, humerus or hip fractures in 993 patients from the OSTEOMED registry
were analyzed using logistic regression and an artificial network model.
Results Logistic regression showed that the probability of reducing fractures for each anti-osteoporotic treatment consid-
ered was independent of sex, age, and the number of comorbidities, increasing significantly only in males taking vitamin
D (OR = 7.918), patients without comorbidities taking vitamin D (OR = 4.197) and patients with ≥ 3 comorbidities taking
calcium (OR = 9.412). Logistic regression correctly classified 96% of patients (Hosmer–Lemeshow = 0.492) compared with
the artificial neural network model, which correctly classified 95% of patients (AUC = 0.6).
Conclusion In general, sex, age and the number of comorbidities did not influence the likelihood that a given anti-osteoporotic
treatment improved the risk of incident fragility fractures after 1 year, but this appeared to increase when patients had been
treated with risedronate, strontium or teriparatide. The two models used classified patients similarly, but predicted differently
in terms of the probability of improvement, with logistic regression being the better fit. | es |
dc.format | application/pdf | es |
dc.format.extent | 8 p. | es |
dc.language.iso | eng | es |
dc.publisher | Springer Link | es |
dc.relation.ispartof | AGING CLINICAL AND EXPERIMENTAL RESEARCH, 34 (9), 1997-2004. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Osteoporosis | es |
dc.subject | Osteoporotic fractures | es |
dc.subject | Anti-osteoporotic treatment | es |
dc.subject | Comorbidities | es |
dc.subject | Logistic regression | es |
dc.subject | Artificial neural network | es |
dc.title | Comorbidity and osteoporotic fracture: approach through predictive modeling techniques using the OSTEOMED registry | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Medicina | es |
dc.relation.publisherversion | https://link.springer.com/article/10.1007/s40520-022-02129-5 | es |
dc.identifier.doi | 10.1007/s40520-022-02129-5 | es |
dc.journaltitle | AGING CLINICAL AND EXPERIMENTAL RESEARCH | es |
dc.publication.volumen | 34 | es |
dc.publication.issue | 9 | es |
dc.publication.initialPage | 1997 | es |
dc.publication.endPage | 2004 | es |