TY - JOUR
T1 - Factors in cardiac risk stratification of candidates for renal transplant
AU - Lewis, Michael S.
AU - Wilson, Richard A.
AU - Walker, Kirk
AU - Stegeman-Olsen, Jenny
AU - Norman, Douglas J.
AU - Barry, John M.
AU - Bennett, William M.
PY - 1999
Y1 - 1999
N2 - 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.
AB - 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.
KW - Angina
KW - Congestive heart failure
KW - Coronary artery disease
KW - Diabetes mellitus
KW - Myocardial infarction
KW - Renal transplant
KW - Thallium scintigraphy
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U2 - 10.1177/204748739900600410
DO - 10.1177/204748739900600410
M3 - Article
C2 - 10501277
AN - SCOPUS:0032827259
SN - 1350-6277
VL - 6
SP - 251
EP - 255
JO - Journal of Cardiovascular Risk
JF - Journal of Cardiovascular Risk
IS - 4
ER -