Muhammad Muzzammil , Muhammad Owais Minhas , Amna Jamil
{"title":"在低资源环境中开发一种具有成本效益的骨质疏松症风险评分系统:以社区为基础的方法","authors":"Muhammad Muzzammil , Muhammad Owais Minhas , Amna Jamil","doi":"10.1016/j.jcot.2025.103018","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Osteoporotic fractures pose a significant public health burden, particularly in resource-constrained settings where diagnostic tools like DXA scans are unavailable. This study aimed to develop and validate a simple, community-based osteoporosis risk scoring system that incorporates demographic, clinical, and radiographic parameters to identify high-risk individuals for early intervention.</div></div><div><h3>Methods</h3><div>A cross-sectional study was conducted in Karachi, Pakistan, involving 750 participants aged 40 years and above. Data on demographic characteristics, clinical risk factors, and lifestyle habits were collected using a structured questionnaire. Radiographic assessments identified vertebral compression fractures, generalized osteopenia, and trabecular bone loss. Participants were stratified into four risk categories: low, moderate, high, and very high risk. The predictive validity of the scoring system was evaluated using logistic regression and receiver operating characteristic (ROC) curve analysis.</div></div><div><h3>Results</h3><div>The developed tool classified participants into low (38 %), moderate (32 %), high (20 %), and very high (10 %) risk groups. Fracture incidence ranged from 11.29 % in the low-risk group to 28.23 % in the very high-risk group. The scoring system demonstrated strong predictive accuracy, with a sensitivity of 83 %, specificity of 75 %, and an area under the curve (AUC) of 0.82. Odds ratios for fractures progressively increased with higher risk categories, confirming the model's validity.</div></div><div><h3>Conclusion</h3><div>This Muzzammil's osteoporosis risk scoring system is a cost-effective and practical tool for early identification of high-risk individuals in low-resource settings. Its implementation could aid in targeted prevention strategies, reducing osteoporotic fracture incidence and improving public health outcomes. Further validation in diverse populations is recommended to optimize its utility.</div></div>","PeriodicalId":53594,"journal":{"name":"Journal of Clinical Orthopaedics and Trauma","volume":"65 ","pages":"Article 103018"},"PeriodicalIF":0.0000,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of a cost-effective osteoporosis risk scoring system for early detection in low-resource settings: A community-based approach\",\"authors\":\"Muhammad Muzzammil , Muhammad Owais Minhas , Amna Jamil\",\"doi\":\"10.1016/j.jcot.2025.103018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Osteoporotic fractures pose a significant public health burden, particularly in resource-constrained settings where diagnostic tools like DXA scans are unavailable. This study aimed to develop and validate a simple, community-based osteoporosis risk scoring system that incorporates demographic, clinical, and radiographic parameters to identify high-risk individuals for early intervention.</div></div><div><h3>Methods</h3><div>A cross-sectional study was conducted in Karachi, Pakistan, involving 750 participants aged 40 years and above. Data on demographic characteristics, clinical risk factors, and lifestyle habits were collected using a structured questionnaire. Radiographic assessments identified vertebral compression fractures, generalized osteopenia, and trabecular bone loss. Participants were stratified into four risk categories: low, moderate, high, and very high risk. The predictive validity of the scoring system was evaluated using logistic regression and receiver operating characteristic (ROC) curve analysis.</div></div><div><h3>Results</h3><div>The developed tool classified participants into low (38 %), moderate (32 %), high (20 %), and very high (10 %) risk groups. Fracture incidence ranged from 11.29 % in the low-risk group to 28.23 % in the very high-risk group. The scoring system demonstrated strong predictive accuracy, with a sensitivity of 83 %, specificity of 75 %, and an area under the curve (AUC) of 0.82. Odds ratios for fractures progressively increased with higher risk categories, confirming the model's validity.</div></div><div><h3>Conclusion</h3><div>This Muzzammil's osteoporosis risk scoring system is a cost-effective and practical tool for early identification of high-risk individuals in low-resource settings. Its implementation could aid in targeted prevention strategies, reducing osteoporotic fracture incidence and improving public health outcomes. Further validation in diverse populations is recommended to optimize its utility.</div></div>\",\"PeriodicalId\":53594,\"journal\":{\"name\":\"Journal of Clinical Orthopaedics and Trauma\",\"volume\":\"65 \",\"pages\":\"Article 103018\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-04-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Clinical Orthopaedics and Trauma\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0976566225001158\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Clinical Orthopaedics and Trauma","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0976566225001158","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
Development of a cost-effective osteoporosis risk scoring system for early detection in low-resource settings: A community-based approach
Background
Osteoporotic fractures pose a significant public health burden, particularly in resource-constrained settings where diagnostic tools like DXA scans are unavailable. This study aimed to develop and validate a simple, community-based osteoporosis risk scoring system that incorporates demographic, clinical, and radiographic parameters to identify high-risk individuals for early intervention.
Methods
A cross-sectional study was conducted in Karachi, Pakistan, involving 750 participants aged 40 years and above. Data on demographic characteristics, clinical risk factors, and lifestyle habits were collected using a structured questionnaire. Radiographic assessments identified vertebral compression fractures, generalized osteopenia, and trabecular bone loss. Participants were stratified into four risk categories: low, moderate, high, and very high risk. The predictive validity of the scoring system was evaluated using logistic regression and receiver operating characteristic (ROC) curve analysis.
Results
The developed tool classified participants into low (38 %), moderate (32 %), high (20 %), and very high (10 %) risk groups. Fracture incidence ranged from 11.29 % in the low-risk group to 28.23 % in the very high-risk group. The scoring system demonstrated strong predictive accuracy, with a sensitivity of 83 %, specificity of 75 %, and an area under the curve (AUC) of 0.82. Odds ratios for fractures progressively increased with higher risk categories, confirming the model's validity.
Conclusion
This Muzzammil's osteoporosis risk scoring system is a cost-effective and practical tool for early identification of high-risk individuals in low-resource settings. Its implementation could aid in targeted prevention strategies, reducing osteoporotic fracture incidence and improving public health outcomes. Further validation in diverse populations is recommended to optimize its utility.
期刊介绍:
Journal of Clinical Orthopaedics and Trauma (JCOT) aims to provide its readers with the latest clinical and basic research, and informed opinions that shape today''s orthopedic practice, thereby providing an opportunity to practice evidence-based medicine. With contributions from leading clinicians and researchers around the world, we aim to be the premier journal providing an international perspective advancing knowledge of the musculoskeletal system. JCOT publishes content of value to both general orthopedic practitioners and specialists on all aspects of musculoskeletal research, diagnoses, and treatment. We accept following types of articles: • Original articles focusing on current clinical issues. • Review articles with learning value for professionals as well as students. • Research articles providing the latest in basic biological or engineering research on musculoskeletal diseases. • Regular columns by experts discussing issues affecting the field of orthopedics. • "Symposia" devoted to a single topic offering the general reader an overview of a field, but providing the specialist current in-depth information. • Video of any orthopedic surgery which is innovative and adds to present concepts. • Articles emphasizing or demonstrating a new clinical sign in the art of patient examination is also considered for publication. Contributions from anywhere in the world are welcome and considered on their merits.