Table 2.

Application of Main 4-Leaf Model and Alternative 6-Leaf Model on Admission and Subsequent Days

4-Leaf Model
Shift	N*	PPS≤20%, drooping present N (%)†	PPS ≤20%, drooping absent N (%)†	PPS 30–60% N (%)†	PPS ≥70% N (%)†	Diagnostic accuracy, %‡
1	351	19 (84)	68 (40)	227 (15)	37 (3)	81
3	322	29 (72)	63 (43)	199 (17)	31 (3)	79
5	282	30 (77)	50 (38)	172 (13)	30 (10)	82
7	243	23 (78)	44 (41)	150 (13)	25 (4)	82
9	202	16 (69)	40 (40)	121 (10)	25 (4)	83
11	161	16 (62)	28 (29)	101 (11)	16 (0)	84

6-Leaf Model
Shift	N*	PPS≤20%, drooping present N (%)†	PPS≤20%, drooping absent, ≥2 late signs N (%)†	PPS ≤20%, drooping absent, 0–1 late signs N (%)†	PPS 30–60%, ≥2 late signs N (%)†	PPS 30–60%, 0–1 late signs N (%)†	PPS ≥70% N (%)†	Diagnostic accuracy, %‡
1	328	19 (84)	21 (62)	41 (32)	34 (26)	176 (14)	37 (3)	82
3	307	29 (72)	17 (65)	42 (36)	32 (22)	156 (15)	31 (3)	80
5	270	30 (77)	16 (62)	30 (27)	27 (26)	137 (10)	30 (10)	83
7	235	23 (78)	16 (69)	25 (28)	26 (31)	119 (8)	26 (4)	85
9	191	16 (69)	10 (80)	25 (28)	18 (39)	97 (4)	25 (4)	86
11	153	16 (62)	7 (43)	20 (25)	11 (45)	83 (6)	16 (0)	84

^*The number of patients varies over time because (1) for each row, we only included patients with complete data for the two variables (PPS and drooping of nasolabial fold), and (2) some patients died or were discharged from the hospital

^†The total number of patients (N) and the proportion of patients who died in 3 days (%) were shown for each leaf in the recursive partitioning model

^‡Accuracy = 1 − misclassification rate = [True positive + True negative]/[True positive + True negative + False positive + False negative] in 2 × 2 diagnostic tables with the predicted outcome (death in 3 days or not) against the gold standard (actual 3-day mortality).[14]

Abbreviations: PPS, palliative performance scale