Predictive effect of age-adjusted Charlson comorbidity index on the risk of falls in elderly patients with femoral neck fractures
10.3760/cma.j.cn115682-20230809-00441
- VernacularTitle:年龄校正Charlson合并症指数在老年股骨颈骨折患者跌倒风险中的预测效果
- Author:
Ziruo ZHANG
1
;
Jing HU
;
Sitong YAN
;
Peipei LI
;
Hong ZHI
;
Yuanyuan FENG
;
Zhouqi JI
Author Information
1. 延安大学医学院，延安 716000
- Keywords:
Aged;
Femoral neck fractures;
Falls;
Age-adjusted Charlson comorbidity index;
Risk prediction
- From:
Chinese Journal of Modern Nursing
2024;30(11):1477-1482
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the predictive value of age-adjusted Charlson comorbidity index (ACCI) on the risk of falls in elderly patients with femoral neck fractures.Methods:This study was a retrospective cohort study. From June 2021 to June 2022, cluster sampling was used to select 1 050 patients with femoral neck fractures at the Honghui Hospital affiliated with Xi'an Jiaotong University as the study subject. This study calculated the total ACCI score based on patient comorbidities, and divided patients into a low-risk fall group ( n=282) and a high-risk fall group ( n=768) based on whether the fall risk factor assessment score was ≥4.This study compared the differences in age, gender, American Society of Anesthesiologists (ASA) grading, ACCI score, white blood cell count, red blood cell count, platelet count, lymphocyte count, serum albumin, hemoglobin, creatinine, and urea nitrogen between the two groups. Independent variables with P<0.05 were included in binary Logistic regression to analyze the factors affecting the risk of falls in patients, and a receiver operating characteristic (ROC) curve was plotted. Results:There were statistically significant differences in age, ASA grading, red blood cell count, lymphocyte count, ACCI score, serum albumin, hemoglobin, creatinine, and urea nitrogen between the two groups of patients ( P<0.05). Logistic regression analysis found that age, ASA score, and ACCI score were independent risk factors for fall risk ( P<0.05), while serum albumin was an independent protective factor for fall risk ( P<0.05). The area under the ROC curve of ACCI for predicting fall risk was 0.892, and a score of 4 in ACCI was the cutoff value for predicting fall risk. Conclusions:ACCI can serve as an auxiliary tool for evaluating and predicting the risk of falls in elderly patients with femoral neck fractures, and can provide reference for clinical screening of high-risk individuals for falls.
