Application Value of Rapid Predictive Model for Readmission Risk in Patients after CABG

Authors

  • Tiao Lv, Undergraduate School of Medicine, Wuhan University of Science and Technology, Wuhan, China
  • Yinghong Zhang, MD, PhD School of Medicine, Wuhan University of Science and Technology, Wuhan, China
  • Wen Zhang, MD Department of Cardiology, Wuhan Asian Heart Hospital, Wuhan, China
  • Liu Hu, MD Department of Cardiology, Wuhan Asian Heart Hospital, Wuhan, China
  • Guozhen Liu, Undergraduate School of Medicine, Wuhan University of Science and Technology, Wuhan, China
  • Hong Cheng, MD, PhD School of Medicine, Wuhan University of Science and Technology, Wuhan, China
  • Jing Huang, MD Wuhan Puren Hospital, Wuhan, Hubei, China

DOI:

https://doi.org/10.1532/hsf.3133

Keywords:

Coronary Artery Bypass Grafting, Readmission, Risk Prediction

Abstract

Objective: To explore the value of a rapid risk predictive model for the readmission of patients after CABG in China.

Methods: The rapid predictive model of readmission risk was translated into Chinese, and then validated with data from 758 patients who underwent CABG in Wuhan Asian Heart Hospital from January 2018 to June 2019. The discrimination was tested by area under the ROC curve (AUC), and the calibration was tested by Hosmer-Lemeshow test.

Results: The rapid risk predictive model for readmission showed good discrimination and calibration in Chinese CABG patients (The area under ROC curve c-statistic: 0.704, 95% CI: 0.614-0.794; Hosmer-Lemeshow test: P = .955).

Conclusion: The rapid readmission risk predictive model can be used in Chinese CABG patients soon after admission.

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Published

2020-09-22

How to Cite

Lv, T., Zhang, Y., Zhang, W., Hu, L., Liu, G., Cheng, H., & Huang, J. (2020). Application Value of Rapid Predictive Model for Readmission Risk in Patients after CABG. The Heart Surgery Forum, 23(5), E668-E672. https://doi.org/10.1532/hsf.3133

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Section

Articles