Model of Wang and Tu for Predicting Multidrug-Resistant Tuberculosis

Description

Wang and Tu reported a nomogram for predicting multidrug-resistant tuberculosis. This can help to identify a patient who may require careful selection of the antimycobacterial regimen. The authors are from Zhejiang University in China.

Patient selection: tuberculosis

Parameters:

(1) education level

(2) history of hospitalization

(3) number of side effects of treatment

(4) history of previous tuberculosis

(5) spoligotype family (based on the SpolDB4 database)

Parameter	Finding	Points
education level	completed secondary education	0
	did not complete secondary education	30.5
history of hospitalization	no	33.9
	yes	0
number of side effects of treatment	0	53.7
	>= 1	0
history of previous TB	no	61.6
	yes	0
spoligotype family	T	0
	LAM	28.5
	orphan	74.6
	Beijing	76.3
	unknown	77.2
	Haarlem	100
	other Euro-American	94.9

total score =

= SUM(points for all of the parameters)

Interpretation:

• minimum score: 0

• maximum score: 279.7

Score	Probability of Multidrug Resistance
0 to 145.7	(0.00001132 * ((score)^2)) + (0.001848 * (score)) + 0.09696
145.7 to 247.7	(-0.00001381 * ((score)^2)) + (0.008378 * (score)) - 0.3275
> 247.5	> 90%

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Model of Wang and Tu for Predicting Multidrug-Resistant Tuberculosis

Description

Specialty