A machine learning model to predict critical care outcomes in patient with chest pain visiting the emergency department

Table 3 Risk score for critical care outcome among chest pain patients

Risk factors	Scores	Risk factors	Scores
Mode of arrival		Killip
Ambulance use	43	I	0
Transfer from other hospital	32	II	10
Walk in	22	III	19
Intra-hospital transfer	11	IV	29
Others	0
Reperfusion therapy		SCr
PCI	25	< 186	0
CABG	12	186–451	16
None	0	>451	32
CKMB		NT-proBNP
0.37	0	1.00	0
1.00	8	2.72	5
2.72	15	7.39	11
7.39	23	20.09	16
20.09	31	54.60	21
54.60	38	148.41	27
148.41	46	403.43	32
403.43	54	1096.63	37
1096.63	62	2980.96	43
2980.96	69	8103.08	48
8103.08	77	22,026.47	53
22,026.47	85	59,874.14	59
59,874.14	92
162,754.79	100

PCI percutaneous transluminal coronary intervention, CABG coronary artery bypass grafting, SCr serum creatinine, CKMB creatine kinase-MB, NT-proBNP N-terminal pro brain natriuretic peptide

ISSN: 1471-227X