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. 2021 Oct 9;13:949–958. doi: 10.2147/CLEP.S333624

Table 3.

Accuracy of the Algorithm Using Data from the Danish National Patient Registry to Identify Cases of Recurrent Intracerebral Hemorrhage When Applying a Blanking Period of Varying Lengtha

Algorithm Performance in the Danish National Patient Registryb
Length of Blanking Period Positive Predictive Value % (95% CI) Negative Predictive Value % (95% CI) Sensitivity % (95% CI) Specificity % (95% CI)
0 days 23.0 (19.3–27.1) 99.0 (98.5–99.3) 83.1 (75.5–88.6) 85.6 (84.2–87.0)
7 days 46.1 (39.6–52.7) 99.0 (98.5–99.3) 81.5 (73.7–87.3) 95.1 (94.2–95.9)
30 days 67.4 (59.3–74.5) 98.9 (98.4–99.2) 78.2 (70.2–84.6) 98.0 (97.4–98.5)
60 days 75.4 (66.9–82.3) 98.5 (98.0–99.0) 71.8 (63.3–78.9) 98.8 (98.3–99.2)
90 days 78.7 (70.1–85.4) 98.4 (97.8–98.8) 68.5 (59.9–76.1) 99.0 (98.6–99.4)
120 daysc 80.6 (71.7–87.2) 98.1 (97.5–98.6) 63.7 (55.0–71.6) 99.2 (98.8–99.5)
150 days 82.4 (73.3–88.9) 98.0 (97.4–98.5) 60.5 (51.7–68.6) 99.3 (98.9–99.6)
180 days 83.5 (74.2–89.9) 97.8 (97.2–98.3) 57.3 (48.5–65.6) 99.4 (99.0–99.7)
360 days 85.5 (75.3–91.9) 97.4 (96.6–97.9) 47.6 (39.0–56.3) 99.6 (99.2–99.8)

Notes: aPeriod immediately following the index ICH, during which outcome events are ignored. bInpatient diagnosis, primary coding position. cOptimal algorithm marked in bold.