Research Article

Comparing the Predictive Power of Preoperative Risk Assessment Tools to Best Predict Major Adverse Cardiac Events in Kidney Transplant Patients

Table 1

Demographic data.

503
Age at transplant (median [IQR])52.00 [42.00, 61.00]
Gender = male (%)294 (58.4)
Race (%)
 Black or African American180 (35.8)
 Declined/Other111 (22.1)
 Multiracial133 (26.4)
 White79 (15.7)
Ethnicity (%)
 Declined23 (4.57)
 Hispanic or Latino205 (40.8)
 Not Hispanic or Latino275 (54.7)
SES (median [IQR])−2.48 [−5.56, −0.90]
Donor living or cadaveric = living (%)160 (31.8)
Previous transplant = yes (%)45 (8.9)
BMI (mean (sd))27.14 (5.38)
Diabetes = yes (%)207 (41.2)
Insulin = yes (%)143 (28.4)
Years on dialysis (median [IQR])3.81 [1.03, 7.01]
MI before transplant = yes (%)50 (9.9)
Peripheral arterial disease surg. = yes (%)37 (7.4)
Cancer = yes (%)22 (4.4)
Charlson Score (median [IQR])0.00 [0.00, 2.00]

BMI = body mass index; MI = myocardial infarction; SES = socioeconomic status; SD = standard deviation; IQR = interquartile range.