Abstract
This study aimed to examine the relationships of osteoporosis with Osteoporosis indices in elderly patients, and investigate the associations of novel inflammatory markers with variations of Osteoporosis indices. Senior citizens were recruited from the National Health and Nutrition Examination Survey (NHANES). Dual-energy X-ray absorptiometry was used to detect bone mineral density tests. Osteoporosis indices and diagnosis of osteoporosis were evaluated using multivariate weighted logistic regression models. Novel inflammatory markers were calculated based on lymphocyte, neutrophil, monocyte, platelet, and albumin counts. The relationships between the Osteoporosis indices and novel inflammatory markers were evaluated with multivariate weighted logistic regression models. Totally 837 elderly patients were enrolled, including 494 men and 343 women, and their weighted average age was 68.28 ± 7.60 years. Our results indicated that the osteoporosis indices were positively correlated with the presence of osteoporosis and that these three indices measured the severity of osteoporosis. After multivariate weighted logistic regression model analysis of the novel inflammatory markers and osteoporosis index, AIRI, SIRI, and SII were significantly correlated with the osteoporosis indices. There may be a close relationship between inflammation and senile osteoporosis. The novel inflammatory markers are convenient and objective for predicting low BMD or osteoporosis risk in older patients. Among these markers, elderly patients with high levels of AISI, SIRI, and SII should focus on the risk of osteoporosis. However, this study has some limitations. It is essential to expand the sample size to a wider population to investigate the relationship between inflammation and osteoporosis.