Gregori Giulia, Johansson Lisa, Axelsson Kristian F, Jaiswal Raju, Litsne Henrik, Larsson Berit A M, Lorentzon Mattias
Sahlgrenska Osteoporosis Centre, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.
Department of Orthopedics, Sahlgrenska University Hospital, Mölndal, Sweden.
J Cachexia Sarcopenia Muscle. 2024 Aug;15(4):1511-1519. doi: 10.1002/jcsm.13508. Epub 2024 Jun 18.
Physical function is an important risk factor for fracture. Previous studies found that different physical tests (e.g., one-leg standing [OLS] and timed up and go [TUG]) predict fracture risk. This study aimed to determine which physical function test is the most optimal independent predictor of fracture risk, together with clinical risk factors (CRFs) used in fracture risk assessment (FRAX) and bone mineral density (BMD).
In total, 2321 women out of the included 3028 older women, aged 77.7 ± 1.6 (mean ± SD), in the Sahlgrenska University Hospital Prospective Evaluation of Risk of Bone Fractures study had complete data on all physical function tests and were included in the analysis. At baseline, hand grip strength, OLS, TUG, walking speed and chair stand tests were performed. All incident fractures were confirmed by X-ray or review of medical records and subsequently categorized as major osteoporotic fractures (MOFs), hip fractures and any fracture. Multivariate Cox regression (hazard ratios [HRs] and 95% confidence intervals [CIs]) analyses were performed with adjustments for age, body mass index (BMI), FRAX CRFs, femoral neck BMD and all physical function tests as predictors both individually and simultaneously. Receiver operating characteristic (ROC) analyses and Fine and Gray analyses were also performed to investigate associations between physical function and incident fractures.
OLS was the only physical function test to be significantly and independently associated with increased risk of any fracture (HR 1.13 [1.04-1.23]), MOF (HR 1.15 [1.04-1.26]) and hip fracture (HR 1.34 [1.11-1.62]). Adjusting for age, BMI, CRFs and femoral neck BMD did not materially alter these associations. ROC analysis for OLS, together with age, BMI, femoral neck BMD and CRFs, yielded area under the curve values of 0.642, 0.647 and 0.732 for any fracture, MOF and hip fracture, respectively. In analyses considering the competing risk of death, OLS was the only physical function test consistently associated with fracture outcomes (subhazard ratio [SHR] 1.10 [1.01-1.19] for any fracture, SHR 1.11 [1.00-1.22] for MOF and SHR 1.25 [1.03-1.50] for hip fracture). Walking speed was only independently associated with the risk of hip fracture in all Cox regression models and in the Fine and Gray analyses.
Among the five physical function tests, OLS was independently associated with all fracture outcomes, even after considering the competing risk of death, indicating that OLS is the most reliable physical function test for predicting fracture risk in older women.
身体功能是骨折的一个重要风险因素。既往研究发现,不同的身体测试(如单腿站立[OLS]和计时起立行走测试[TUG])可预测骨折风险。本研究旨在确定哪种身体功能测试是骨折风险的最佳独立预测指标,同时确定骨折风险评估(FRAX)中使用的临床风险因素(CRF)和骨密度(BMD)。
在萨尔格伦斯卡大学医院进行的骨质疏松性骨折风险前瞻性评估研究中,纳入的3028名老年女性(年龄77.7±1.6岁[均值±标准差])中有2321名女性具备所有身体功能测试的完整数据,并纳入分析。在基线时,进行了握力、OLS、TUG、步行速度和椅子起立测试。所有新发骨折均经X线或病历复查确认,随后分为主要骨质疏松性骨折(MOF)、髋部骨折和任何骨折。进行多变量Cox回归(风险比[HR]和95%置信区间[CI])分析,分别和同时调整年龄、体重指数(BMI)、FRAX CRF、股骨颈BMD以及所有身体功能测试作为预测指标。还进行了受试者工作特征(ROC)分析和Fine and Gray分析,以研究身体功能与新发骨折之间的关联。
OLS是唯一与任何骨折(HR 1.13[1.04 - 1.23])、MOF(HR 1.15[1.04 - 1.26])和髋部骨折(HR 1.34[1.11 - 1.62])风险增加显著且独立相关的身体功能测试。调整年龄、BMI、CRF和股骨颈BMD后,这些关联没有实质性改变。OLS与年龄、BMI、股骨颈BMD和CRF联合进行的ROC分析得出,任何骨折、MOF和髋部骨折的曲线下面积值分别为0.642、0.647和0.732。在考虑死亡竞争风险的分析中,OLS是唯一始终与骨折结局相关的身体功能测试(任何骨折的亚风险比[SHR]为1.10[1.01 - 1.19],MOF为SHR 1.11[1.00 - 1.22],髋部骨折为SHR 1.25[1.03 - 1.50])。在所有Cox回归模型和Fine and Gray分析中,步行速度仅与髋部骨折风险独立相关。
在这五项身体功能测试中,即使考虑了死亡竞争风险,OLS仍与所有骨折结局独立相关,这表明OLS是预测老年女性骨折风险最可靠的身体功能测试。