@article{Lv_Zhang_Zhang_Hu_Liu_Cheng_Huang_2020, title={Application Value of Rapid Predictive Model for Readmission Risk in Patients after CABG}, volume={23}, url={https://journal.hsforum.com/index.php/HSF/article/view/3133}, DOI={10.1532/hsf.3133}, abstractNote={<p class="p1"><span class="s1"><strong>Objective:</strong> To explore the value of a rapid risk predictive model for the readmission of patients after CABG in China. </span></p> <p class="p1"><span class="s1"><strong>Methods:</strong> 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. </span></p> <p class="p1"><span class="s1"><strong>Results:</strong> 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: <em>P</em> = .955). </span></p> <p class="p1"><span class="s1"><strong>Conclusion: </strong>The rapid readmission risk predictive model can be used in Chinese CABG patients soon after admission. </span></p>}, number={5}, journal={The Heart Surgery Forum}, author={Lv, Tiao and Zhang, Yinghong and Zhang, Wen and Hu, Liu and Liu, Guozhen and Cheng, Hong and Huang, Jing}, year={2020}, month={Sep.}, pages={E668-E672} }