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. 2015 Mar 27;30(8):1336–1344. doi: 10.1093/ndt/gfv034

Table 3.

Actual events, excess events and excess risk of death

MBD definition N Deaths
Actual Predicted Excess events Excess fraction (%)
Model development sample
 All in Target 5224 1271 1271 0 0
KDOQI PTH Target
 ≥1 Out 20 997 4799 4284 515 (280–771) 10.7 (5.9–13.2)
 ≥2 Out 11 373 2497 2118 379 (228–528) 15.2 (9.2–21.0)
 3 Out 1774 430 330 100 (60–140) 23.2 (14.5–30.7)
 ≥1 High 19 105 4242 3755 487 (259–729) 11.5 (6.2–16.9)
 ≥2 High 9844 2082 1743 339 (200–474) 16.3 (9.7–22.3)
 3 High 1107 281 217 64 (35–94) 22.7 (13.2–30.7)
KDIGO PTH Target
 ≥1 Out 17 169 3901 3453 448 (249–666) 11.5 (6.5–16.8)
 ≥2 Out 6443 1490 1203 287 (185–388) 19.2 (12.7–25.5)
 3 Out 974 236 175 61 (34–89) 25.8 (15.7–34.2)
 ≥1 High 15 094 3296 2879 417 (242–607) 12.6 (7.4–18.3)
 ≥2 High 4890 1084 842 242 (158–327) 22.3 (15.0–29.2)
 3 High 514 126 93 33 (14–52) 25.9 (13.1–36.5)

KDOQI PTH Target with ≥1 Out is the reference definition for comparing all other definitions. The All in Target population was used as the model development sample for the risk estimation. The excess fraction was calculated as the number of excess events divided by the number of actual events. Values in parentheses reflect the middle 95% of the bootstrap distribution.