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(Chest. 2005;128:42-47.)
© 2005 American College of Chest Physicians

Stress Recovery Index for Risk Stratification of Asymptomatic Patients Following Coronary Bypass Surgery*

Riccardo Bigi, MD; Dario Gregori, MA, PhD; Lauro Cortigiani, MD; Paola Colombo, MD and Cesare Fiorentini, MD

* From the Department of Medical and Surgical Sciences (Dr. Bigi), University School of Medicine and "A. De Gasperis" Foundation, Milan; Department of Public Health and Microbiology (Dr. Gregori), University of Turin, Turin; Cardiovascular Unit (Dr. Cortigiani), Campo di Marte Hospital, Lucca; Cardiothoracic Department (Dr. Colombo), Niguarda Cà Granda Hospital, Milan; and Cardiology (Dr. Fiorentini), Department of Medical and Surgical Sciences, University School of Medicine, "S. Paolo" Hospital, Milan, Italy.

Correspondence to: Riccardo Bigi, MD, Cardiology, Department of Medical and Surgical Sciences, "S. Paolo" Hospital, Via A. di Rudinì 8 - 20142 Milano, Italy; e-mail: Riccardo.Bigi{at}unimi.it

Objective: To prospectively assess the prognostic value of the stress recovery index (SRI) following coronary bypass surgery.

Design and patients: Two hundred seventy-eight patients who had undergone coronary bypass surgery and participated in a secondary prevention program were exercise tested and prospectively followed up for a median of 36 months. Cardiac death, nonfatal infarction, and need for further revascularization were target end points. SRI, defined as the difference in absolute values between the area of heart rate-adjusted ST-segment depression during exercise and recovery, was derived in all. Clinical data, resting ejection fraction, and exercise testing data of patients were entered into a sequential Cox model; SRI was entered last. Model validation was performed by bootstrap adjusted by the degree of optimism in estimates. Survival curves were set up using Kaplan-Meier method and compared by the log-rank test.

Results: SRI was the only significant and independent prognostic indicator (hazard ratio, 0.68; 95% confidence interval, 0.53 to 0.89) and increased the prognostic power of the model on top of clinical and exercise testing variables, as demonstrated by the significant (p = 0.01) increase of the area under the receiver operating characteristic curve of the risk function. Survival analysis showed ascending SRI quartiles to identify a significant (p = 0.001) increase in event-free survival.

Conclusions: SRI is of value in predicting outcome after coronary bypass surgery and provides additional prognostic information over clinical and exercise testing data.

Key Words: bypass surgery • coronary artery disease exercise • ECG • risk stratification • testing






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