Xu Ping, Wang Liping
Department of Osteology, Shaoxing Second Hospital, Shaoxing, Zhejiang, China.
Front Med (Lausanne). 2025 May 27;12:1606744. doi: 10.3389/fmed.2025.1606744. eCollection 2025.
Femoral fractures in hospitalized patients often lead to limited mobility, increasing the risk of complications like deep venous thrombosis (DVT), pressure ulcers, and delirium. These risks are particularly pronounced in elderly patients with multiple comorbidities. Monitoring such patients using reliable indices like the Age-Adjusted Charlson Comorbidity Index (ACCI) can help in early identification and management of these risks. This study investigates the association between ACCI scores and the incidence of in-hospital complications DVT, pressure ulcers, delirium in patients with femoral fractures.
Using the MIMIC-IV 2.2 database, we extracted data for 4,134 patients diagnosed with femoral fractures after applying exclusion criteria such as repeated admissions, age under 18, and significant missing data. ACCI and other demographic and clinical data were used in logistic regression models and restricted cubic spline (RCS) analyses to assess the relationship between ACCI and complication risks.
A nonlinear association between ACCI and complication risk was identified, with significant risk increases beyond an ACCI of 5. Patients were divided into low-ACCI (≤5) and high-ACCI (>5) groups. High-ACCI patients had significantly greater risks of developing DVT (OR = 2.151), pressure ulcers (OR = 2.168), and delirium (OR = 1.791), compared to low-ACCI patients, indicating ACCI's effectiveness in predicting these complications.
ACCI is a valuable tool for predicting the risk of in-hospital complications among femoral fracture patients, facilitating targeted interventions and improved patient management.
住院患者的股骨骨折常导致活动受限,增加深静脉血栓形成(DVT)、压疮和谵妄等并发症的风险。这些风险在患有多种合并症的老年患者中尤为明显。使用年龄调整查尔森合并症指数(ACCI)等可靠指标对这类患者进行监测有助于早期识别和管理这些风险。本研究调查了ACCI评分与股骨骨折患者院内并发症DVT、压疮、谵妄发生率之间的关联。
利用MIMIC-IV 2.2数据库,在应用重复入院、年龄小于18岁和大量缺失数据等排除标准后,提取了4134例诊断为股骨骨折患者的数据。将ACCI以及其他人口统计学和临床数据用于逻辑回归模型和受限立方样条(RCS)分析,以评估ACCI与并发症风险之间的关系。
确定了ACCI与并发症风险之间的非线性关联,ACCI大于5时风险显著增加。患者被分为低ACCI(≤5)组和高ACCI(>5)组。与低ACCI患者相比,高ACCI患者发生DVT(OR = 2.151)、压疮(OR = 2.168)和谵妄(OR = 1.791)的风险显著更高,表明ACCI在预测这些并发症方面的有效性。
ACCI是预测股骨骨折患者院内并发症风险的有价值工具,有助于进行有针对性的干预并改善患者管理。