A Nomogram Model for Mortality Risk Prediction in Pulmonary Tuberculosis Patients Subjected to Directly Observed Treatment Shortcourse (DOTS)

Table 2

Variable assignment table of logistic stepwise regression analysis.

Variables	Code	Variable assignment
Dependent variable
Death	Y	0 = no
		1 = yes
Independent variable
Sex	X1	1 = female
		2 = male
Age	X2	—
Ethnicity	X3	1 = predominant group (Han)
		2 = ethnic groups
Case classification	X4	1 = new
		2 = relapse
First sputum bacteria results	X5	0 = negative/not tested
		1 = positive
Patient delay	X6	0 = no
		1 = yes
Diagnosis delay	X7	0 = no
		1 = yes
Pulmonary cavity	X8	0 = no
		1 = yes
HIV status	X9	0 = negative/not tested
		1 = positive
Drug resistance results	X10	0 = nondrug resistance
		1 = drug resistance