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Limitations of a conventional logistic regression model based on left ventricular ejection fraction in predicting
J W Work1, J G Ferguson, G A Diamond
1Division of Cardiology, Cedars-Sinai Medical Center, Los Angeles, California 90048.
Insights
Left ventricular ejection fraction (LVEF) models predict cardiac events but have limitations. Adding exercise LVEF did not improve prediction accuracy for postinfarction patients.
Area of Science:
- Cardiology
- Medical Imaging
- Predictive Analytics
Background:
- Left ventricular ejection fraction (LVEF) is crucial for assessing cardiac function.
- Predicting cardiac events in postinfarction patients remains a clinical challenge.
Purpose of the Study:
- To evaluate the clinical utility of logistic regression models using LVEF for cardiac event prediction.
- To compare the predictive power of resting LVEF versus combined resting and exercise LVEF.
Main Methods:
- Assessed 646 postinfarction patients using radionuclide ventriculography.
- Quantified model discriminant power using receiver-operating characteristic (ROC) curve areas.
- Compared LVEF at rest alone versus LVEF at rest plus peak exercise.
Main Results:
- Resting LVEF significantly predicted cardiac events (ROC area 62%).
- Prediction accuracy was lower for high-risk patients and individual predictions were imprecise.
- Adding exercise LVEF did not significantly improve prediction accuracy (ROC area 68%).
Conclusions:
- Conventional LVEF models offer prognostic information but have significant limitations.
- Current models show poor risk stratification and imprecise individual predictions.
- Exercise LVEF does not enhance the predictive capability of resting LVEF models.
Abstract:
The clinical utility of conventional logistic regression models based on left ventricular ejection fraction (LVEF) for the prediction of cardiac events (death or recurrent infarction) was assessed in 646 postinfarction patients undergoing radionuclide ventriculography at rest and during exercise. The discriminant power of 2 different models (LVEF at rest alone vs LVEF at rest plus LVEF at peak exercise) was quantified in terms of the area under receiver-operating characteristic curves based on knowledge of patient outcome in the year after testing and the logistic probability of that outcome. Although LVEF at rest provided a significant amount of prognostic information (receiver-operating characteristic curve area = 62 +/- 4%, p less than 0.001), several limitations were observed: (1) powerful predictors of risk were uncommon (32% of patients with an LVEF at rest less than 0.20 had a cardiac event, but only 3% of the population had such extreme values); (2) the accuracy of predictions for high risk patients was less than for low risk patients (28 vs 98%, p less than 0.001); (3) addition of exercise LVEF to the model did not improve the accuracy of prediction (receiver-operating characteristic curve area = 68 +/- 4%, p = 0.11); and (4) predictions for individual patients were very imprecise (the 95% confidence interval of percent risk for an LVEF at rest of 0.20 [11 to 36%] overlapped that for an LVEF at rest of 0.60 [0 to 14%]).(ABSTRACT TRUNCATED AT 250 WORDS)