AB0297 MULTIVARIATE REGRESSION ANALYSIS OF RISK FACTORS FOR HIGH RADIOFREQUENCY ECHOGRAPHIC MULTISPECTROMETRY (REMS) - BASED FRAGILITY SCORE OF THE LUMBAR SPINE
Background:A previous published prospective study using Radiofrequency echographic multispectrometry (REMS) demonstrated the fragility score (FS) of the lumbar spine as a good indicator for subjects at risk of major osteoporotic fractures (spine, hip, radius, humerus or forearm). The best cut-off va...
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| Published in | Annals of the rheumatic diseases Vol. 83; no. Suppl 1; pp. 1391 - 1392 |
|---|---|
| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Kidlington
BMJ Publishing Group Ltd and European League Against Rheumatism
01.06.2024
Elsevier B.V Elsevier Limited |
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| Online Access | Get full text |
| ISSN | 0003-4967 1468-2060 |
| DOI | 10.1136/annrheumdis-2024-eular.1298 |
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| Abstract | Background:A previous published prospective study using Radiofrequency echographic multispectrometry (REMS) demonstrated the fragility score (FS) of the lumbar spine as a good indicator for subjects at risk of major osteoporotic fractures (spine, hip, radius, humerus or forearm). The best cut-off value of FS = 37.2 was considered in this paper [1].Objectives:The aim of the current study is to investigate the multivariate significant risk factors for FS≥ 37.2.Methods:In our study, REMS assessments of 252 women with mean age 60 years (yrs.) ± 13 yrs. (range 35-81 yrs.) were conducted. We set up two groups according to the FS of the lumbar spine of the subjects: 1st group with FS ≥ 37.2 and 2nd group with FS <37.2. Age, weight, height, body mass index (BMI), menopausal status, history of previous fractures, diagnosis of rheumatoid arthritis (RA), use of corticosteroids (CS), current smoking and alcohol consumption of three or more drinks daily were the risk factors included in the multivariate statistical analysis. We analyzed the significant risk factors for FS ≥ 37.2 with binary logistic regression. The data collection and transfer from the electronic health record was performed with an innovative JAVA tool, developed by Kirilov et al. [2,3].Results:Of total 252 women the mean weight was of 65.6 kg. ± 14.1 kg. (range 41-117 kg.), mean height 158.2 cm. ± 8.5 cm. (range 132-179 cm.) and mean BMI 27.2 kg/cm2 ± 5.5 kg/cm2 (range 14.1-46.6 kg/cm2). 227 women (90.1%) were attributed to postmenopausal. Age (p<0.001), menopause (p=0.006), history of previous fractures (p<0.001), diagnosis of RA (p=0.003) and use of CS (p=0.002) were the multivariate significant risk factors for FS ≥ 37.2. Odds ratio (OR) for the risk factor age was 1.3, so each added year of the women’s age increased the risk for FS ≥ 37.2 by 1.3%. The risk factor menopause showed OR of 7.24, so postmenopausal women had about 7.2 times higher risk of FS ≥ 37.2 compared to women who still have their menstruation. Subjects with previous fractures had 15.3 times higher risk for FS ≥ 37.2 than non-fractured subjects. ORs were 2.16 for RA and 3.24 for the use of CS, so women with RA had 2.2 times higher risk (3.2 times higher if the subject is taking CS) for FS ≥ 37.2 than those without these risk factors.Conclusion:In the following study, we used multivariate regression to analyze which are the specific risk factors to predict high REMS-based FS of the lumbar spine. Old postmenopausal women with previous fractures, diagnosis of RA and use of CS demonstrated the highest risk of FS ≥ 37.2.REFERENCES:[1] Pisani, P., Conversano, F., Muratore, M. et al. Fragility Score: a REMS-based indicator for the prediction of incident fragility fractures at 5 years. Aging Clin Exp Res 35, 763–773 (2023).[2] Kirilov N et al. Entwicklung eines Tools zur Konvertierung von FHIR Questionnaire Resources in CDISC ODM Format GMS Publishing House; 2023. DocAbstr. 66 (Abstr. 66) doi: 10.3205/23gmds105.[3] Kirilov N. Mobile Health Applications For Management Of Musculoskeletal Diseases 2020,Industrial Technologies 7,Vol 1,80-83.Acknowledgements:NIL.Disclosure of Interests:None declared. |
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| AbstractList | Background:A previous published prospective study using Radiofrequency echographic multispectrometry (REMS) demonstrated the fragility score (FS) of the lumbar spine as a good indicator for subjects at risk of major osteoporotic fractures (spine, hip, radius, humerus or forearm). The best cut-off value of FS = 37.2 was considered in this paper [1].Objectives:The aim of the current study is to investigate the multivariate significant risk factors for FS≥ 37.2.Methods:In our study, REMS assessments of 252 women with mean age 60 years (yrs.) ± 13 yrs. (range 35-81 yrs.) were conducted. We set up two groups according to the FS of the lumbar spine of the subjects: 1st group with FS ≥ 37.2 and 2nd group with FS <37.2. Age, weight, height, body mass index (BMI), menopausal status, history of previous fractures, diagnosis of rheumatoid arthritis (RA), use of corticosteroids (CS), current smoking and alcohol consumption of three or more drinks daily were the risk factors included in the multivariate statistical analysis. We analyzed the significant risk factors for FS ≥ 37.2 with binary logistic regression. The data collection and transfer from the electronic health record was performed with an innovative JAVA tool, developed by Kirilov et al. [2,3].Results:Of total 252 women the mean weight was of 65.6 kg. ± 14.1 kg. (range 41-117 kg.), mean height 158.2 cm. ± 8.5 cm. (range 132-179 cm.) and mean BMI 27.2 kg/cm2 ± 5.5 kg/cm2 (range 14.1-46.6 kg/cm2). 227 women (90.1%) were attributed to postmenopausal. Age (p<0.001), menopause (p=0.006), history of previous fractures (p<0.001), diagnosis of RA (p=0.003) and use of CS (p=0.002) were the multivariate significant risk factors for FS ≥ 37.2. Odds ratio (OR) for the risk factor age was 1.3, so each added year of the women’s age increased the risk for FS ≥ 37.2 by 1.3%. The risk factor menopause showed OR of 7.24, so postmenopausal women had about 7.2 times higher risk of FS ≥ 37.2 compared to women who still have their menstruation. Subjects with previous fractures had 15.3 times higher risk for FS ≥ 37.2 than non-fractured subjects. ORs were 2.16 for RA and 3.24 for the use of CS, so women with RA had 2.2 times higher risk (3.2 times higher if the subject is taking CS) for FS ≥ 37.2 than those without these risk factors.Conclusion:In the following study, we used multivariate regression to analyze which are the specific risk factors to predict high REMS-based FS of the lumbar spine. Old postmenopausal women with previous fractures, diagnosis of RA and use of CS demonstrated the highest risk of FS ≥ 37.2.REFERENCES:[1] Pisani, P., Conversano, F., Muratore, M. et al. Fragility Score: a REMS-based indicator for the prediction of incident fragility fractures at 5 years. Aging Clin Exp Res 35, 763–773 (2023).[2] Kirilov N et al. Entwicklung eines Tools zur Konvertierung von FHIR Questionnaire Resources in CDISC ODM Format GMS Publishing House; 2023. DocAbstr. 66 (Abstr. 66) doi: 10.3205/23gmds105.[3] Kirilov N. Mobile Health Applications For Management Of Musculoskeletal Diseases 2020,Industrial Technologies 7,Vol 1,80-83.Acknowledgements:NIL.Disclosure of Interests:None declared. A previous published prospective study using Radiofrequency echographic multispectrometry (REMS) demonstrated the fragility score (FS) of the lumbar spine as a good indicator for subjects at risk of major osteoporotic fractures (spine, hip, radius, humerus or forearm). The best cut-off value of FS = 37.2 was considered in this paper [1]. The aim of the current study is to investigate the multivariate significant risk factors for FS≥ 37.2. In our study, REMS assessments of 252 women with mean age 60 years (yrs.) ± 13 yrs. (range 35-81 yrs.) were conducted. We set up two groups according to the FS of the lumbar spine of the subjects: 1st group with FS ≥ 37.2 and 2nd group with FS <37.2. Age, weight, height, body mass index (BMI), menopausal status, history of previous fractures, diagnosis of rheumatoid arthritis (RA), use of corticosteroids (CS), current smoking and alcohol consumption of three or more drinks daily were the risk factors included in the multivariate statistical analysis. We analyzed the significant risk factors for FS ≥ 37.2 with binary logistic regression. The data collection and transfer from the electronic health record was performed with an innovative JAVA tool, developed by Kirilov et al. [2,3]. Of total 252 women the mean weight was of 65.6 kg. ± 14.1 kg. (range 41-117 kg.), mean height 158.2 cm. ± 8.5 cm. (range 132-179 cm.) and mean BMI 27.2 kg/cm2 ± 5.5 kg/cm2 (range 14.1-46.6 kg/cm2). 227 women (90.1%) were attributed to postmenopausal. Age (p<0.001), menopause (p=0.006), history of previous fractures (p<0.001), diagnosis of RA (p=0.003) and use of CS (p=0.002) were the multivariate significant risk factors for FS ≥ 37.2. Odds ratio (OR) for the risk factor age was 1.3, so each added year of the women’s age increased the risk for FS ≥ 37.2 by 1.3%. The risk factor menopause showed OR of 7.24, so postmenopausal women had about 7.2 times higher risk of FS ≥ 37.2 compared to women who still have their menstruation. Subjects with previous fractures had 15.3 times higher risk for FS ≥ 37.2 than non-fractured subjects. ORs were 2.16 for RA and 3.24 for the use of CS, so women with RA had 2.2 times higher risk (3.2 times higher if the subject is taking CS) for FS ≥ 37.2 than those without these risk factors. In the following study, we used multivariate regression to analyze which are the specific risk factors to predict high REMS-based FS of the lumbar spine. Old postmenopausal women with previous fractures, diagnosis of RA and use of CS demonstrated the highest risk of FS ≥ 37.2. [1] Pisani, P., Conversano, F., Muratore, M. et al. Fragility Score: a REMS-based indicator for the prediction of incident fragility fractures at 5 years. Aging Clin Exp Res 35, 763–773 (2023). [2] Kirilov N et al. Entwicklung eines Tools zur Konvertierung von FHIR Questionnaire Resources in CDISC ODM Format GMS Publishing House; 2023. DocAbstr. 66 (Abstr. 66) doi: 10.3205/23gmds105. [3] Kirilov N. Mobile Health Applications For Management Of Musculoskeletal Diseases 2020,Industrial Technologies 7,Vol 1,80-83. NIL. None declared. |
| Author | Kinov, P. Kovachev, M. Bischoff, F. Vladeva, S. Bischoff, E. |
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| Snippet | Background:A previous published prospective study using Radiofrequency echographic multispectrometry (REMS) demonstrated the fragility score (FS) of the lumbar... A previous published prospective study using Radiofrequency echographic multispectrometry (REMS) demonstrated the fragility score (FS) of the lumbar spine as a... |
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| SubjectTerms | Aging Body mass index Bone Corticosteroids Diagnosis Electronic medical records Fractures Humerus Menopause Menstruation Musculoskeletal diseases Osteoporosis Post-menopause Rheumatoid arthritis Risk factors Scientific Abstracts Spine (lumbar) Statistical analysis Ultrasound Womens health |
| Title | AB0297 MULTIVARIATE REGRESSION ANALYSIS OF RISK FACTORS FOR HIGH RADIOFREQUENCY ECHOGRAPHIC MULTISPECTROMETRY (REMS) - BASED FRAGILITY SCORE OF THE LUMBAR SPINE |
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