A preoperative risk scoring system for elderly patients with hip fracture
10.3760/cma.j.issn.1671-7600.2019.07.001
- VernacularTitle:老年髋部骨折手术风险评估表的临床应用
- Author:
Mingtai MA
1
;
Hao LU
;
Peixun ZHANG
;
Dianying ZHANG
;
Zhongguo FU
;
Baoguo JIANG
Author Information
1. 北京大学人民医院创伤骨科 100044
- Keywords:
Hip;
Fracture,bone;
Aged;
Comorbidities
- From:
Chinese Journal of Orthopaedic Trauma
2019;21(7):553-557
- CountryChina
- Language:Chinese
-
Abstract:
Objective To verify the effectiveness of a self-designed preoperative risk scoring system for elderly patients with hip fracture.Methods A total of 286 elderly patients with hip fracture were included for this prospective study who had been admitted from February 1,2014 to February 1,2016 to Department of Trauma and Orthopedics,Peking University People's Hospital.They were divided into 5 groups according to their scores by our self-designed preoperative risk scoring system for elderly patients with hip fracture:0 to 10 points,11 to 20 points,21 to 30 points,31 to 40 points and above 41 points.Postoperative complications and deaths were recorded.The correlations between their preoperative scores and postoperative medical complications or death were analyzed to verify the effectiveness of the preoperative risk scoring system for elderly patients with hip fracture.Results The 286 patients scored 24.9 ± 11.0 (from 0 to 69) preoperatively.The femoral neck fractures scored 24.0±11.0 and femoral intertrochanteric fractures 26.3±10.8.The incidence of medical complications was 4.00％ (1/25) in the 0 to 10 points group,4.17％ (3/72) in the 11 to 20 points group,14.66％ (17/116) in the 21 to 30 points group,23.53％ (12/51) in the 31 to 40 points group and 50.00％ (11/22) in the above 41 pints group.Conclusion As the incidence of postoperative medical complications in elderly patients with hip fracture is positively correlated with the scores by our self-designed preoperative risk scoring system for elderly patients with hip fracture,the preoperative risk scoring system can provide an effective prediction of surgical risks.
