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Factors in cardiac risk stratification of candidates for renal transplant
M S Lewis1, R A Wilson, K Walker
1Division of Cardiology, Department of Medicine, Oregon Health Sciences University, Portland 97201, USA.
Insights
Identifying cardiac risk factors in renal transplant candidates is crucial. Age over 50, diabetes mellitus, and abnormal electrocardiograms (ECG) predict cardiac death, while angina predicts nonfatal events.
Area of Science:
- Nephrology
- Cardiology
- Transplantation Medicine
Background:
- Renal transplant candidates face a significant risk of cardiac events.
- Pre-transplant cardiac risk stratification is essential for patient management.
Purpose of the Study:
- To evaluate the predictive value of specific clinical risk factors for fatal and nonfatal cardiac events in renal transplant candidates.
- To refine risk stratification algorithms for this high-risk population.
Main Methods:
- Prospective evaluation of five clinical risk factors: age (≥50 years), diabetes mellitus, angina, congestive heart failure, and abnormal electrocardiogram (ECG).
- Utilized a two-tiered risk stratification algorithm.
- Employed multiple logistic regression analysis to determine independent predictors.
Main Results:
- Age ≥50 years, diabetes mellitus, and abnormal ECG were independent predictors of cardiac death.
- Angina independently predicted nonfatal cardiac events, including myocardial infarction and unstable angina.
- Congestive heart failure showed a trend towards independent predictive value for cardiac events.
Conclusions:
- Clinical risk factor assessment is valuable for identifying renal transplant candidates at elevated risk for cardiac complications.
- These findings support the use of clinical risk factors in pre-transplant cardiac risk stratification.
Background:
Renal transplant candidates are at high risk of fatal and nonfatal cardiac events.
Methods:
This study evaluated five clinical risk factors--age at least 50 years, insulin-requiring diabetes mellitus, angina, congestive heart failure and an abnormal electrocardiogram (ECG) (excluding left ventricular hypertrophy)--that had been used in the first tier of a two-tiered prospectively applied risk stratification algorithm.
Results:
Using multiple logistic regression analysis, age at least 50 years, abnormal ECG, and diabetes mellitus were independently predictive of cardiac death. Of the two remaining clinical risk factors, the presence of angina had independent predictive value for nonfatal cardiac events (myocardial infarction, coronary angioplasty, bypass surgery, and unstable angina). The independent predictive value of congestive heart failure approached statistical significance.
Conclusion:
Clinical risk-factor analysis is helpful in identifying renal transplant candidates at high risk for fatal or nonfatal cardiac events.