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Chinese Journal of Critical Care & Intensive Care Medicine(Electronic Edition) ›› 2022, Vol. 08 ›› Issue (02): 116-120. doi: 10.3877/cma.j.issn.2096-1537.2022.02.006

• Clinical Research • Previous Articles     Next Articles

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 Online:2022-07-04 Published:2022-07-05
  • Contact: Xiangdong Guan

Abstract:

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.

Key words: Intensive care unit staying time, Risk model, Heart valvular surgery

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