Department of Neurosurgery, University of Health Sciences, Prof. Dr. Cemil Tascioglu City Hospital, Istanbul, Turkey.
Eur Rev Med Pharmacol Sci. 2024 Feb;28(3):959-968. doi: 10.26355/eurrev_202402_35333.
There are many scientific reports on systemic inflammation scores (SIS) associated with decreased bone mineral density in osteoporotic vertebral disease. However, there are no studies on the association of inflammation scores with the risk of collapse in osteoporotic vertebral collapse fractures. The aim of this study was to examine the correlation between the product of platelet and neutrophil counts (PPN), platelet/lymphocyte ratio (PLR), neutrophil/lymphocyte ratio (NLR), and systemic immune inflammation index (SII) derived from complete blood count analysis in cases of osteoporotic vertebral fractures and fracture severity based on vertebral collapse rates.
This study is a retrospective analysis of a cohort of 50 patients aged 50 years or older who presented with osteoporotic vertebral fractures and underwent kyphoplasty at our clinic from 2018 to 2023. The study included both men and women. Computed tomography (CT) and magnetic resonance imaging (MRI) were used to diagnose and differentiate osteoporotic vertebral compression fractures from burst fractures and pathologic fractures. All compression rate measurements were performed with CT. The compression rate of the most affected vertebra (MAV-CR) was calculated. Groups were divided into two categories based on their compression rates: <50% and ≥50%. Initial PPN, PLR, NLR, and SII parameters were used as systemic inflammation scores.
No statistically significant differences were found between MAV-CR groups in PPN, PLR, NLR, and SII parameters (p>0.05). No statistically significant correlation was observed between inflammation scores and MAV-CR groups (p>0.05). In this comparison, no significant difference was observed between the selected CBC parameters and the groups divided according to the compression rate (WBC: p=0.725, PC: p=0.069, NC: p=0.732, LC: p=0.513). ROC analysis was performed to analyze the diagnostic tests (AUC=0.372 for PPN, AUC=0.509 for PLR, AUC=0.525 for NLR, and AUC=0.435 for SII). None of the systemic inflammation scores had any predictive value for osteoporotic vertebral collapse fractures.
Although it has been established in the scientific literature that systemic inflammation scores are associated with osteoporotic vertebral fractures, our analysis indicates no statistically significant correlation between the parameters of PPN, PLR, NLR, and SII and the severity of compression fractures in individuals with osteoporotic vertebral fractures. In this study, using systemic inflammation scores as a predictive test for the severity of osteoporotic vertebral fractures does not seem appropriate.
有许多关于与骨质疏松性椎体疾病骨密度降低相关的全身炎症评分（SIS）的科学报告。然而，目前尚无关于炎症评分与骨质疏松性椎体塌陷骨折塌陷风险之间关系的研究。本研究旨在探讨来自全血细胞分析的血小板和中性粒细胞计数乘积（PPN）、血小板/淋巴细胞比值（PLR）、中性粒细胞/淋巴细胞比值（NLR）和全身免疫炎症指数（SII）与骨质疏松性椎体骨折和基于椎体塌陷率的骨折严重程度之间的相关性。
本研究是对 2018 年至 2023 年在我院就诊的 50 名年龄在 50 岁或以上的骨质疏松性椎体骨折患者进行的队列回顾性分析，男女均有。计算机断层扫描（CT）和磁共振成像（MRI）用于诊断和区分骨质疏松性椎体压缩骨折与爆裂骨折和病理性骨折。所有压缩率测量均采用 CT 进行。计算受影响最严重椎体的压缩率（MAV-CR）。根据其压缩率将组分为<50%和≥50%两类。将初始 PPN、PLR、NLR 和 SII 参数用作全身炎症评分。
在 MAV-CR 组之间，PPN、PLR、NLR 和 SII 参数无统计学差异（p>0.05）。炎症评分与 MAV-CR 组之间未观察到统计学相关性（p>0.05）。在这种比较中，根据压缩率分组的选定 CBC 参数之间没有观察到显著差异（WBC：p=0.725，PC：p=0.069，NC：p=0.732，LC：p=0.513）。进行 ROC 分析以分析诊断测试（PPN 的 AUC=0.372，PLR 的 AUC=0.509，NLR 的 AUC=0.525，SII 的 AUC=0.435）。全身炎症评分均对骨质疏松性椎体塌陷骨折无预测价值。
尽管科学文献已经证实全身炎症评分与骨质疏松性椎体骨折有关，但我们的分析表明，在骨质疏松性椎体骨折患者中，PPN、PLR、NLR 和 SII 参数与压缩骨折严重程度之间无统计学显著相关性。在这项研究中，使用全身炎症评分作为骨质疏松性椎体骨折严重程度的预测试验似乎并不合适。
