A five-parameter score for predicting saphenous vein graft degenerative and/or occlusive disease in recurring ischemic symptoms after one year post coronary artery bypass grafting

Author:

Li Xiao-Wei123,Cui Zhuang1,Xiao Jian-Yong2,Gao Ming-Dong2,Zhang Mei4,Zhang Wen-Juan5ORCID,Tian Feng-Shi6,Song Yu7,Liu Ying-Wu8,Yao Zhu-Hua9,Ma Jun1,Liu Yin2,Gao Jing123ORCID

Affiliation:

1. Tianjin Medical University, Tianjin, China

2. Department of Cardiology, 499773Tianjin Chest Hospital, Tianjin, China

3. Cardiovascular Institute, 499773Tianjin Chest Hospital, Tianjin, China

4. Tianjin Logistics University of Chinese People’s Armed Police Forces, Tianjin, China

5. Tianjin Medical University General Hospital, Tianjin, China

6. Tianjin Fourth Center Hospital, Tianjin, China

7. TEDA International Cardiovascular Hospital, Tianjin, China

8. Tian Jin Third Center Hospital, Tianjin, China

9. Tian Jin People’s Hospital, Tianjin, China

Abstract

Background: The recurrence rate of ischemic symptoms after coronary artery bypass grafting (CABG) is increasing in recent years. How to prevent and treat saphenous vein graft disease (SVGD [symptomatic ⩾50% stenosis in at least one Saphenous vein graft]) has been a clinical challenge to date. Different pathogenesis may exist in SVGD of different periods. There are currently few available scores for estimating the risk of SVGD after one year post CABG. Objective: We sought to develop and validate a simple predictive clinical risk score for SVGD with recurring ischemia after one year post CABG. Methods and Results: This was a cross-sectional study and the results were validated using bootstrap resampling on a separate cohort. A nomogram and risk scoring system were developed based on retrospective data from a training cohort of 606 consecutive patients with recurring ischemia >1 year after CABG. Logistic regression model was used to find the predictive factors and to build a nomogram. To assess the generalization, models were validated using bootstrap resampling and an external cross-sectional study of 187 consecutive patients in four other hospitals. In multivariable analysis of the primary cohort, native lesion vessel number, SVG age, recurring ischemia type, very low-density lipoprotein level, and left ventricular end-diastolic diameter were independent predictors. A summary risk score was derived from nomogram, with a cut-off value of 15. In internal and external validation, the C-index was 0.86 and 0.82, indicating good discrimination. The calibration curve for probability of SVGD showed optimal agreement between actual observations and risk score prediction. Conclusion: A simple-to-use risk scoring system based on five easily variables was developed and validated to predict the risk of SVGD among patients who recurring ischemia after one year post CABG. This score may be useful for providing patients with individualized estimates of SVGD risk.

Funder

the Key Project of Scientific and Technological Support Plan of Tianjin in 2020

Publisher

SAGE Publications

Subject

Advanced and Specialized Nursing,Cardiology and Cardiovascular Medicine,Safety Research,Radiology, Nuclear Medicine and imaging,General Medicine

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