Journal of orthopaedic surgery and research · 2024
Combining OSTA and BMR to predict osteoporosis in Chinese population.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Zhao Jiaxin, Wang Yulin, Wang Shuo, Guo Qin, Wang Wei, Song Jidong
Аннотация
INTRODUCTION: Osteoporosis is a debilitating bone disease that significantly contributes to disability and a loss of autonomy among older adults. This study aimed to characterize osteoporosis and explore the feasibility of combining OSTA and BMR for osteoporosis prediction.
METHODS: A cross-sectional study involving 1435 participants (1300 women and 135 men) was conducted. Spearman's correlation, simple linear regression analyses, and multiple linear regression models were utilized to investigate the association between OSTA, BMR, and bone mineral density (BMD). Furthermore, the efficacy of integrating OSTA with BMR for osteoporosis screening and prediction was assessed through receiver operating characteristic (ROC) curves.
RESULTS: In the total population, the sensitivity of combination variable W was 58.63%, and the specificity was 70.90%. When OSTA and BMR were employed separately to diagnose osteoporosis, the sensitivity was 47.70% and 55.34%, respectively, while the specificity was 63.80% and 69.80%, respectively.
CONCLUSIONS: The combined utilization of OSTA and BMR formula represents an effective screening method for osteoporosis.
METHODS: A cross-sectional study involving 1435 participants (1300 women and 135 men) was conducted. Spearman's correlation, simple linear regression analyses, and multiple linear regression models were utilized to investigate the association between OSTA, BMR, and bone mineral density (BMD). Furthermore, the efficacy of integrating OSTA with BMR for osteoporosis screening and prediction was assessed through receiver operating characteristic (ROC) curves.
RESULTS: In the total population, the sensitivity of combination variable W was 58.63%, and the specificity was 70.90%. When OSTA and BMR were employed separately to diagnose osteoporosis, the sensitivity was 47.70% and 55.34%, respectively, while the specificity was 63.80% and 69.80%, respectively.
CONCLUSIONS: The combined utilization of OSTA and BMR formula represents an effective screening method for osteoporosis.