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New Model for Osteoporosis Risk Screening Using Emergency Department Visits
Background Even though osteoporosis is the most common bone disease in the United States, it is frequently underscreened and underdiagnosed. In this study, we aimed to utilize the Emergency Department to conduct preemptive osteoporosis risk screening and assess the risk associated with gender and ra...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8929475/ https://www.ncbi.nlm.nih.gov/pubmed/35340470 http://dx.doi.org/10.7759/cureus.22237 |
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author | Alabd, Andrew Alabd, Andre Miller, Matthew Walsh, Carrie Silverman, Alex Dabbish, Nooreen Kuoiloi, Chol Miller, Stanton |
author_facet | Alabd, Andrew Alabd, Andre Miller, Matthew Walsh, Carrie Silverman, Alex Dabbish, Nooreen Kuoiloi, Chol Miller, Stanton |
author_sort | Alabd, Andrew |
collection | PubMed |
description | Background Even though osteoporosis is the most common bone disease in the United States, it is frequently underscreened and underdiagnosed. In this study, we aimed to utilize the Emergency Department to conduct preemptive osteoporosis risk screening and assess the risk associated with gender and race based on a statistical analysis of survey responses. Methodology Patients >40 years of age presenting at two Emergency Departments were eligible. Consenting patients were asked questions from a modified One-Minute Osteoporosis Risk Test. Modifiable, fixed, and total (modifiable risks + fixed risks) risk sums were calculated. For the association test, chi-square and Wilcoxon rank-sum tests were used. Four total risk categories were created (0-1, 2-3, 4-5, 6+). Odds of being in a higher risk category were analyzed using univariate ordinal logistic regression. Results The prevalence of both a fixed and modifiable risk was 62.2%. Women were more likely than men to report a risk (81.2% vs. 67.5%; p = 0.0043) and to be in a higher risk category (odds ratio (OR) [95% confidence interval (CI)] = 1.63 [1.09-2.45]; p = 0.018). Evidence strongly indicated an unadjusted association of race and modifiable risk category (p < 0.001), with more than half of African Americans (53.0%) in the highest category compared to 26.0% of whites. The total risk was higher in African Americans than whites (OR [95% CI] = 1.75 [1.15-2.67]; p = 0.010). Conclusions Race and gender were associated with specific risk factors. The Emergency Department proved to be a feasible location for conducting health maintenance screenings and should be considered for patient-specific routine osteoporosis risk screenings. |
format | Online Article Text |
id | pubmed-8929475 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
spelling | pubmed-89294752022-03-24 New Model for Osteoporosis Risk Screening Using Emergency Department Visits Alabd, Andrew Alabd, Andre Miller, Matthew Walsh, Carrie Silverman, Alex Dabbish, Nooreen Kuoiloi, Chol Miller, Stanton Cureus Emergency Medicine Background Even though osteoporosis is the most common bone disease in the United States, it is frequently underscreened and underdiagnosed. In this study, we aimed to utilize the Emergency Department to conduct preemptive osteoporosis risk screening and assess the risk associated with gender and race based on a statistical analysis of survey responses. Methodology Patients >40 years of age presenting at two Emergency Departments were eligible. Consenting patients were asked questions from a modified One-Minute Osteoporosis Risk Test. Modifiable, fixed, and total (modifiable risks + fixed risks) risk sums were calculated. For the association test, chi-square and Wilcoxon rank-sum tests were used. Four total risk categories were created (0-1, 2-3, 4-5, 6+). Odds of being in a higher risk category were analyzed using univariate ordinal logistic regression. Results The prevalence of both a fixed and modifiable risk was 62.2%. Women were more likely than men to report a risk (81.2% vs. 67.5%; p = 0.0043) and to be in a higher risk category (odds ratio (OR) [95% confidence interval (CI)] = 1.63 [1.09-2.45]; p = 0.018). Evidence strongly indicated an unadjusted association of race and modifiable risk category (p < 0.001), with more than half of African Americans (53.0%) in the highest category compared to 26.0% of whites. The total risk was higher in African Americans than whites (OR [95% CI] = 1.75 [1.15-2.67]; p = 0.010). Conclusions Race and gender were associated with specific risk factors. The Emergency Department proved to be a feasible location for conducting health maintenance screenings and should be considered for patient-specific routine osteoporosis risk screenings. Cureus 2022-02-15 /pmc/articles/PMC8929475/ /pubmed/35340470 http://dx.doi.org/10.7759/cureus.22237 Text en Copyright © 2022, Alabd et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Emergency Medicine Alabd, Andrew Alabd, Andre Miller, Matthew Walsh, Carrie Silverman, Alex Dabbish, Nooreen Kuoiloi, Chol Miller, Stanton New Model for Osteoporosis Risk Screening Using Emergency Department Visits |
title | New Model for Osteoporosis Risk Screening Using Emergency Department Visits |
title_full | New Model for Osteoporosis Risk Screening Using Emergency Department Visits |
title_fullStr | New Model for Osteoporosis Risk Screening Using Emergency Department Visits |
title_full_unstemmed | New Model for Osteoporosis Risk Screening Using Emergency Department Visits |
title_short | New Model for Osteoporosis Risk Screening Using Emergency Department Visits |
title_sort | new model for osteoporosis risk screening using emergency department visits |
topic | Emergency Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8929475/ https://www.ncbi.nlm.nih.gov/pubmed/35340470 http://dx.doi.org/10.7759/cureus.22237 |
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