Association between inflammation-related indicators and vertebral fracture in older adults in the United States: A cross-sectional study based on National Health and Nutrition Examination Survey 2013–2014
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Abstract
Objective
This study was to examine the association between inflammation-related indexes SII (systemic immune-inflammation index), NLR (neutrophil-to-lymphocyte ratio), PPN (product of platelet count and neutrophil count), and PLR (platelet-to-lymphocyte ratio), and the occurrence of vertebral fractures in older Americans.
Methods
Patients ⩾60 years of age from the 2013–2014 NHANES database were selected for this study. Restricted cubic spline models and weighted logistic regression models were used to assess the association between inflammation-related indexes and the occurrence of vertebral fractures in older Americans. The predictive value of the inflammation-related indexes on the occurrence of vertebral fractures was assessed using receiver operating characteristic curves (ROC). To examine the robustness of the main findings, a sensitivity analysis was conducted.
Results
A total of 1281 patients were included in the analysis, of whole 120 suffered vertebral fractures. Fully adjusted logistic regression showed a significant linear relationship between NLR and the occurrence of vertebral fracture in older Americans (p < .05), but no relationship was found between SII, PLR, and the occurrence of vertebral fracture in older Americans. Meanwhile, NLR was slightly better than other indicators in predicting vertebral fracture.
Conclusions
This study found that NLR, as a novel inflammatory marker, can predict the risk of vertebral fracture in older Americans, which is of clinical significance for the prevention and treatment of vertebral fracture in older adults.
期刊介绍:
Immunity, Inflammation and Disease is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research across the broad field of immunology. Immunity, Inflammation and Disease gives rapid consideration to papers in all areas of clinical and basic research. The journal is indexed in Medline and the Science Citation Index Expanded (part of Web of Science), among others. It welcomes original work that enhances the understanding of immunology in areas including:
• cellular and molecular immunology
• clinical immunology
• allergy
• immunochemistry
• immunogenetics
• immune signalling
• immune development
• imaging
• mathematical modelling
• autoimmunity
• transplantation immunology
• cancer immunology