摘要
目的分析行全髋关节置换术患者的术前血脂水平与术后引流量之间的关系。方法纳入2013年1月-2017年12月于常州市第一人民医院骨关节科行全髋关节置换术的704例患者,收集患者术前各项血脂水平、术后引流量等临床指标,通过多元线性回归分析术前血脂水平与术后引流量之间的关系。结果全髋关节置换术患者的多元线性回归结果显示,甘油三酯(TG)(B=16.047,P=0.015)与术后引流量呈正相关。股骨头无菌性坏死患者的多元线性回归结果显示,TG(B=75.783,P<0.001)和低密度脂蛋白胆固醇(B=86.952,P=0.023)与术后引流量呈正相关,载脂蛋白B(B=-370.495,P=0.007)与术后引流量呈负相关。结论全髋关节置换术后关注患者的血脂水平,必要时启动降脂治疗,对减少术后出血有一定指导意义。
Objective To analyze the relationship between preoperative blood lipid level and postoperative drainage volume in patients undergoing total hip arthroplasty.Methods A total of 704 patients who underwent total hip arthroplasty in the Department of Orthopedics,the First People's Hospital of Changzhou from January 2013 to December 2017 were included.Clinical indicators such as preoperative blood lipid levels and postoperative drainage were collected.The relationship between preoperative blood lipid levels and postoperative drainage was analyzed by multiple linear regression.Results Multivariate linear regression analysis showed that triglyceride(TG)(B=16.047,P=0.015)was positively correlated with postoperative drainage.The results of multiple linear regression showed that TG(B=75.783,P<0.001)and low density lipoprotein cholesterol(B=86.952,P=0.023)were positively correlated with postoperative drainage,and apolipoprotein B(B=-370.495,P=0.007)was negatively correlated with postoperative drainage.Conclusion Paying attention to the blood lipid level of patients after total hip arthroplasty and initiating lipid-lowering therapy when necessary have certain guiding significance for reducing postoperative bleeding.
作者
滕若凌
赵杰
TENG Ruo-ling;ZHAO Jie(Department of Geriatrics,the First People's Hospital of Changzhou,Changzhou 213004,Jiangsu,China;Department of Orthopedics,Wujin Hospital Affiliated to Jiangsu University/The Wujin Clinical College of Xuzhou Medical University,Changzhou 213164,Jiangsu,China)
出处
《医学信息》
2023年第10期84-87,共4页
Journal of Medical Information
关键词
全髋关节置换术
术后引流量
血脂
股骨头坏死
多元线性回归分析
Total hip arthroplasty
Postoperative drainage
Serum lipid levels
Aseptic necrosis of femoral head
Multiple linear regression analysis