Table 1 Characteristics of admissions included in the study
From: Does adding risk-trends to survival models improve in-hospital mortality predictions? A cohort study
Characteristic | Derivation | Validation |
|---|---|---|
Patients/Hospitalizations, n* | 77294/106522 | 44300/53265 |
Deaths in-hospital, n (%) | 5407 (5.1) | 2640 (5.0) |
Length of admission in days, median (IQR*) | 5 (2-9) | 5 (2-9) |
Male, n (%) | 55295 (51.9) | 27807 (52.2) |
Age at admission, median (IQR) | 61 (48-75) | 61 (48-74) |
Admission type, n (%) | Â | Â |
   Emergent non-surgical | 49862 (46.8) | 24982 (46.9) |
   Emergent surgical | 22534 (21.2) | 11187 (21.0) |
   Elective non-surgical | 14184 (13.3) | 6970 (13.1) |
   Elective surgical | 19942 (18.7) | 10126 (19.0) |
Elixhauser score, median (IQR) | 0 (0-6) | 0 (0-6) |
LAPS* at admission, median (IQR) | 5 (0-38) | 4 (0-38) |
Hazard of death at admission†, median (IQR) | 0.0008 (0.0002- 0.0040) | 0.0008 (0.0002- 0.0039) |
At least 1 admission to the intensive care unit, n (%) | 5433 (5.1) | 2654 (5.0) |
Change from active care to alternative level of care, n (%) | 4830 (4.5) | 2363 (4.4) |
At least 1 PIMR* procedure, n (%) | 29791 (28.0) | 14923 (28.0) |
PIMR score on day of procedure‡, median (IQR) | 1 (-4 - 2) | 1 (-4 - 2) |