Cargando…

Estimating regional bone mineral density-based T-scores using clinical information; tools validated for postmenopausal women in Sri Lanka

OBJECTIVES: This study aims to develop and validate a country specific osteoporosis risk assessing tool for Sri Lankan postmenopausal women. METHODS: Community-dwelling postmenopausal women were enrolled to development (n = 602) and validation (n = 339) samples. Clinical risk factors (CRFs) of osteo...

Descripción completa

Detalles Bibliográficos
Autores principales: Subasinghe, Hewa Walpola Amila Sewwandi, Lekamwasam, Sarath, Ball, Patrick, Morrissey, Hana, Waidyaratne, Eisha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Osteoporosis 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7573505/
https://www.ncbi.nlm.nih.gov/pubmed/33102805
http://dx.doi.org/10.1016/j.afos.2020.08.004
_version_ 1783597454415888384
author Subasinghe, Hewa Walpola Amila Sewwandi
Lekamwasam, Sarath
Ball, Patrick
Morrissey, Hana
Waidyaratne, Eisha
author_facet Subasinghe, Hewa Walpola Amila Sewwandi
Lekamwasam, Sarath
Ball, Patrick
Morrissey, Hana
Waidyaratne, Eisha
author_sort Subasinghe, Hewa Walpola Amila Sewwandi
collection PubMed
description OBJECTIVES: This study aims to develop and validate a country specific osteoporosis risk assessing tool for Sri Lankan postmenopausal women. METHODS: Community-dwelling postmenopausal women were enrolled to development (n = 602) and validation (n = 339) samples. Clinical risk factors (CRFs) of osteoporosis were assessed. Bone mineral densities (BMD) of femoral neck, total hip and lumbar spine were assessed by dual energy X-ray absorptiometry (DXA) scan. Radial ultrasound (US) bone scan was done. Linear regression analysis was performed in development sample considering regional BMDs as dependent and CRFs as independent variables. Regression equations were developed to estimate regional BMDs using best predictive CRFs. Sensitivity, specificity, positive and negative predictive values (PPV and NPV) were assessed to validate the new tools. RESULTS: Age, body weight and US T-scores showed positive correlations with BMDs of all 3 sites. Two osteoporosis risk assessing tools (OPRATs) were developed as OPRAT-1 and OPRAT-2. Prevalence of osteoporosis, in the validation sample was 74.3%. Sensitivity were high in both tools (OPRAT-1 and OPRAT-2; 83.2% and 82.5%) while specificity were moderate (44.8% for both). PPV of OPRAT-1 and OPRAT-2 were 79.5% and 81.2%. Both tools showed moderate NPV (OPRAT-1 and OPRAT-2; 51% and 47%). CONCLUSIONS: Both OPRAT-1 and OPRAT-2 have high performance in screening postmenopausal women in Sri Lanka for risk of osteoporosis. OPRAT-2 is more convenient and can be used in any healthcare setting with limited resources to identify women who will be benefitted by DXA. OPRAT-1 can be used if the radial US facility is available.
format Online
Article
Text
id pubmed-7573505
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Korean Society of Osteoporosis
record_format MEDLINE/PubMed
spelling pubmed-75735052020-10-23 Estimating regional bone mineral density-based T-scores using clinical information; tools validated for postmenopausal women in Sri Lanka Subasinghe, Hewa Walpola Amila Sewwandi Lekamwasam, Sarath Ball, Patrick Morrissey, Hana Waidyaratne, Eisha Osteoporos Sarcopenia Original Article OBJECTIVES: This study aims to develop and validate a country specific osteoporosis risk assessing tool for Sri Lankan postmenopausal women. METHODS: Community-dwelling postmenopausal women were enrolled to development (n = 602) and validation (n = 339) samples. Clinical risk factors (CRFs) of osteoporosis were assessed. Bone mineral densities (BMD) of femoral neck, total hip and lumbar spine were assessed by dual energy X-ray absorptiometry (DXA) scan. Radial ultrasound (US) bone scan was done. Linear regression analysis was performed in development sample considering regional BMDs as dependent and CRFs as independent variables. Regression equations were developed to estimate regional BMDs using best predictive CRFs. Sensitivity, specificity, positive and negative predictive values (PPV and NPV) were assessed to validate the new tools. RESULTS: Age, body weight and US T-scores showed positive correlations with BMDs of all 3 sites. Two osteoporosis risk assessing tools (OPRATs) were developed as OPRAT-1 and OPRAT-2. Prevalence of osteoporosis, in the validation sample was 74.3%. Sensitivity were high in both tools (OPRAT-1 and OPRAT-2; 83.2% and 82.5%) while specificity were moderate (44.8% for both). PPV of OPRAT-1 and OPRAT-2 were 79.5% and 81.2%. Both tools showed moderate NPV (OPRAT-1 and OPRAT-2; 51% and 47%). CONCLUSIONS: Both OPRAT-1 and OPRAT-2 have high performance in screening postmenopausal women in Sri Lanka for risk of osteoporosis. OPRAT-2 is more convenient and can be used in any healthcare setting with limited resources to identify women who will be benefitted by DXA. OPRAT-1 can be used if the radial US facility is available. Korean Society of Osteoporosis 2020-09 2020-09-16 /pmc/articles/PMC7573505/ /pubmed/33102805 http://dx.doi.org/10.1016/j.afos.2020.08.004 Text en © 2020 The Korean Society of Osteoporosis. Publishing services by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Subasinghe, Hewa Walpola Amila Sewwandi
Lekamwasam, Sarath
Ball, Patrick
Morrissey, Hana
Waidyaratne, Eisha
Estimating regional bone mineral density-based T-scores using clinical information; tools validated for postmenopausal women in Sri Lanka
title Estimating regional bone mineral density-based T-scores using clinical information; tools validated for postmenopausal women in Sri Lanka
title_full Estimating regional bone mineral density-based T-scores using clinical information; tools validated for postmenopausal women in Sri Lanka
title_fullStr Estimating regional bone mineral density-based T-scores using clinical information; tools validated for postmenopausal women in Sri Lanka
title_full_unstemmed Estimating regional bone mineral density-based T-scores using clinical information; tools validated for postmenopausal women in Sri Lanka
title_short Estimating regional bone mineral density-based T-scores using clinical information; tools validated for postmenopausal women in Sri Lanka
title_sort estimating regional bone mineral density-based t-scores using clinical information; tools validated for postmenopausal women in sri lanka
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7573505/
https://www.ncbi.nlm.nih.gov/pubmed/33102805
http://dx.doi.org/10.1016/j.afos.2020.08.004
work_keys_str_mv AT subasinghehewawalpolaamilasewwandi estimatingregionalbonemineraldensitybasedtscoresusingclinicalinformationtoolsvalidatedforpostmenopausalwomeninsrilanka
AT lekamwasamsarath estimatingregionalbonemineraldensitybasedtscoresusingclinicalinformationtoolsvalidatedforpostmenopausalwomeninsrilanka
AT ballpatrick estimatingregionalbonemineraldensitybasedtscoresusingclinicalinformationtoolsvalidatedforpostmenopausalwomeninsrilanka
AT morrisseyhana estimatingregionalbonemineraldensitybasedtscoresusingclinicalinformationtoolsvalidatedforpostmenopausalwomeninsrilanka
AT waidyaratneeisha estimatingregionalbonemineraldensitybasedtscoresusingclinicalinformationtoolsvalidatedforpostmenopausalwomeninsrilanka