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中华重症医学电子杂志 ›› 2022, Vol. 08 ›› Issue (02) : 116 -120. doi: 10.3877/cma.j.issn.2096-1537.2022.02.006

临床研究

基于Lasso-Cox回归筛选影响心脏瓣膜病患者术后ICU时间的因素
王翠苹1, 唐白云1, 刘云奇2, 张宝1, 管向东1,()   
  1. 1. 510080 广州,中山大学附属第一医院重症医学科
    2. 510080 广州,中山大学附属第一医院心脏外科
  • 收稿日期:2022-01-20 出版日期:2022-07-04
  • 通信作者: 管向东
  • 基金资助:
    广东省医学科学技术研究基金项目(A2019566)

Based on Lasso-Cox regression to analyze influence factors of the staying time in ICU after heart valvular surgery

Cuiping Wang1, Baiyun Tang1, Yunqi Liu2, Bao Zhang1, Xiangdong Guan1,()   

  1. 1. Department of Critical Care Medicine, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, China
    2. Department of Cardiac Surgery, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, China
  • Received:2022-01-20 Published:2022-07-04
  • Corresponding author: Xiangdong Guan
引用本文:

王翠苹, 唐白云, 刘云奇, 张宝, 管向东. 基于Lasso-Cox回归筛选影响心脏瓣膜病患者术后ICU时间的因素[J]. 中华重症医学电子杂志, 2022, 08(02): 116-120.

Cuiping Wang, Baiyun Tang, Yunqi Liu, Bao Zhang, Xiangdong Guan. Based on Lasso-Cox regression to analyze influence factors of the staying time in ICU after heart valvular surgery[J]. Chinese Journal of Critical Care & Intensive Care Medicine(Electronic Edition), 2022, 08(02): 116-120.

目的

采用Lasso-Cox回归法分析影响心脏瓣膜病患者术后ICU时间的因素。

方法

采用回顾性方法连续收集2014年1月至2015年12月930例我院行心脏瓣膜手术患者的临床资料,采用Lasso-Cox回归法筛选因素建立2个模型:Pre模型(纳入术前因素)和Pro模型(纳入术前和术中因素),通过受试者工作特征曲线(ROC)的曲线下面积(AUC)验证纳入不同因素对ICU时间预测的准确性。

结果

患者的ICU中位时间为70.5 h,Pre模型纳入影响心脏瓣膜病患者术后ICU时间的术前因素包括年龄、术前总胆红素、高血压病、术前肌酐清除率,Pro模型纳入影响心脏瓣膜病患者术后ICU时间的术前及术中因素包括年龄、术前总胆红素、高血压病、术前肌酐清除率、术前红细胞计数(RBC)、体外循环时间、主动脉阻断时间、三尖瓣置换术;Pre模型在24、48、72 h转出ICU端点的AUC值分别为0.6144(95%CI:0.5684~0.6611)、0.6543(95%CI:0.6251~0.7056)、0.6657(95%CI:0.6203~0.7056),Pro模型分别为0.7021(95%CI:0.6622~0.7403)、0.7123(95%CI:0.6690~0.7442)、0.7424(95%CI:0.7128~0.7833)。

结论

年龄、术前总胆红素、高血压病、术前肌酐清除率、术前RBC、体外循环时间、主动脉阻断时间、三尖瓣置换术均可影响心脏瓣膜病患者术后ICU时间;联合术前及术中因素能更准确地预测心脏瓣膜病患者术后ICU时间。

Objective

To analyze the factors affecting the ICU staying time after heart valve surgery by Lasso-Cox regression.

Methods

The clinical data of 930 consecutive cases of patients with heart valve surgery between January 2014 and December 2015 in our hospital were collected. Influence actors were filtered by the Lasso-Cox regression and two models were established: the Pre model (using preoperative influence factors) and the Pro model (using preoperative and intraoperative influence factors). The accuracy of the prediction of ICU staying time for both of the Pre and Pro models was assessed and compared by area under curve (AUC) of the receiver operating characteristic curve (ROC).

Results

The median staying time in ICU was 70.5 h. Influence factors of the Pre model were age, preoperative total bilirubin, preoperative hypertension, preoperative creatinine clearance, influence factors of the Pro model were age, preoperative total bilirubin, preoperative hypertension, preoperative creatinine clearance, preoperative red blood cell count, cardiopulmonary bypass time, aortic cross clamp time, tricuspid valve replacement. The AUCs of the Pre model at 24 h, 48 h and 72 h transferring from ICU were 0.6144 (95%CI: 0.5684-0.6611), 0.6543 (95%CI: 0.6251-0.7056), 0.6657 (95%CI: 0.6203-0.7056), the AUCs of the Pro model at 24 h, 48 h and 72 h transferring from ICU were 0.7021 (95% CI: 0.6622-0.7403), 0.7123 (95% CI: 0.6690-0.7442), 0.7424 (95% CI: 0.7128-0.7833).

Conclusions

Influence factors of the ICU staying time after heart valve surgery are age, preoperative total bilirubin, preoperative hypertension, preoperative creatinine clearance, preoperative red blood cell count, cardiopulmonary bypass time, aortic cross clamp time, tricuspid valve replacement. Adding the intraoperative influence factors can increase the accuracy of the prediction of ICU staying time after heart valvular surgery.

表1 930例行心脏瓣膜手术患者的基本资料
资料 结果 资料 结果
基本信息

纤维蛋白原(g/L)

3.08±1.16

年龄(岁,

x¯
±s

47.91±13.83

术前血肌酐(μmol/L)

77.19±27.07

女性[例(%)]

485(52.15)

尿素氮(mmol/L)

6.12±2.50

身高(cm,

x¯
±s

160.73±8.18

尿酸(μmol/L)

374.78±122.51

体质量(kg,

x¯
±s

54.66±10.39

红细胞沉降率(mm/h)

23.49±20.45

体质量指数(kg/m2

x¯
±s

21.08±3.29

术前肌酐清除率(ml/min)

79.62±34.28

体表面积(m2

x¯
±s

1.24±0.67 术前肌酐清除率分布[例(%)]
并发症或合并症[例(%)]

≤50 ml/min

116(12.47)

4周内发生过心力衰竭

601(64.62)

51~70 ml/min

396(42.58)

感染性心内膜炎

88(9.46)

>70 ml/min

418(44.95)

合并2型糖尿病

48(5.16) 术前超声心动图信息(
x¯
±s

合并高血压病

122(13.12)

左心室射血分数(%)

62.71±10.14

合并慢性肺疾病

78(8.39)

左心室舒张末期内径(mm)

54.51±11.10

合并慢性肝病

78(8.39)

肺动脉收缩压(mmHg)

21.86±27.54

术前房颤律

389(41.83) 术中体外循环时间(min,
x¯
±s
117.93±58.20
再次手术[例(%)] 58(6.24) 主动脉阻断时间(min,
x¯
±s
80.23±34.70
术前实验室检验(
x¯
±s
辅助循环时间(min,
x¯
±s
37.70±22.50

白细胞计数(×109/L)

7.04±2.46 手术类型[例(%)]

红细胞计数(×1012/L)

4.68±0.70

主动脉瓣置换术

92(9.89)

血红蛋白浓度(g/L)

133.78±19.63

二尖瓣置换术

177(19.03)

血小板计数(×109/L)

213.26±66.44

二尖瓣成形术

57(6.13)

红细胞分布宽度(%)

14.00±2.00

三尖瓣置换术

33(3.55)

丙氨酸氨基转移酶(U/L)

25.79±33.60

联合瓣膜手术

452(48.60)

白蛋白(g/L)

42.29±18.01

瓣膜手术联合冠状动脉旁路移植术

28(3.01)

术前总胆红素(μmol/L)

15.88±10.39

瓣膜手术联合射频消融术

27(2.91)

部分凝血酶原时间(s)

29.30±5.72

瓣膜手术联合其他手术

64(6.88)
表2 构建模型筛选影响ICU时间的因素
图1 Pre模型时间依赖的ROC曲线
图2 Pro模型时间依赖的ROC曲线
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