Skip to main content

Table 1 Empirical sensitivities and specificities of four software for predicting anti-TB drug resistance

From: Genomic prediction of tuberculosis drug-resistance: benchmarking existing databases and prediction algorithms

Drug

Number of samples

Sensitivity

Specificity

TBProfiler

MyKrobe

KVarQ

PhyResSE

TBProfiler

MyKrobe

KVarQ

PhyResSE

INH

4840

0.92 (0.91, 0.93)

0.91 (0.89, 0.92)

0.89 (0.88, 0.90)

0.91 (0.89, 0.92)

0.94 (0.93, 0.95)

0.98 (0.97, 0.98)

0.98 (0.98, 0.99)

0.97 (0.96, 0.98)

RIF

4843

0.91 (0.89, 0.92)

0.92 (0.91, 0.94)

0.92 (0.90, 0.93)

0.94 (0.93, 0.95)

0.95 (0.94, 0.96)

0.97 (0.96, 0.97)

0.97 (0.96, 0.97)

0.96 (0.95, 0.97)

EMB

4585

0.91 (0.89, 0.92)

0.83 (0.81, 0.86)

0.65 (0.62, 0.67)

0.76 (0.73, 0.78)

0.83 (0.81, 0.84)

0.86 (0.85, 0.87)

0.91 (0.90, 0.92)

0.88 (0.87, 0.89)

PZA

5026

0.59 (0.55, 0.63)

0.38 (0.34, 0.42)

0.54 (0.50, 0.58)

0.58 (0.54, 0.61)

0.92 (0.91, 0.93)

0.98 (0.98, 0.99)

0.94 (0.93, 0.94)

0.97 (0.97, 0.98)

STM

4357

0.82 (0.80, 0.84)

0.79 (0.77, 0.81)

0.75 (0.73, 0.77)

0.76 (0.74, 0.78)

0.86 (0.85, 0.87)

0.93 (0.92, 0.94)

0.92 (0.91, 0.93)

0.92 (0.91, 0.93)

AMK

1649

0.90 (0.86, 0.93)

0.75 (0.70, 0.80)

0.75 (0.69, 0.79)

0.79 (0.74, 0.83)

0.75 (0.73, 0.78)

0.99 (0.98, 1.00)

0.99 (0.98, 0.99)

0.99 (0.98, 0.99)

CAP

1830

0.71 (0.66, 0.76)

0.67 (0.62, 0.73)

NA

0.71 (0.65, 0.75)

0.95 (0.93, 0.96)

0.93 (0.92, 0.95)

NA

0.96 (0.94, 0.97)

KAN

1578

0.87 (0.83, 0.90)

0.75 (0.71, 0.80)

0.72 (0.67, 0.76)

0.82 (0.77, 0.86)

0.96 (0.94, 0.97)

0.98 (0.97, 0.99)

0.99 (0.98, 0.99)

0.97 (0.96, 0.98)

CIP

191

0.87 (0.75, 0.94)

0.83 (0.71, 0.92)

0.82 (0.70, 0.90)

0.88 (0.77, 0.95)

0.97 (0.92, 0.99)

0.98 (0.93, 1.00)

0.97 (0.92, 0.99)

0.98 (0.93, 1.00)

MFX

1086

0.68 (0.61, 0.75)

0.61 (0.53, 0.68)

0.58 (0.50, 0.65)

0.67 (0.60, 0.74)

0.93 (0.91, 0.94)

0.95 (0.94, 0.97)

0.93 (0.91, 0.94)

0.95 (0.93, 0.96)

OFX

2424

0.81 (0.78, 0.84)

0.74 (0.71, 0.78)

0.72 (0.68, 0.75)

0.81 (0.77, 0.84)

0.96 (0.95, 0.97)

0.98 (0.97, 0.98)

0.96 (0.95, 0.97)

0.97 (0.97, 0.98)

ETO

835

0.41 (0.35, 0.48)

NA

NA

0.07 (0.04, 0.11)

0.82 (0.79, 0.85)

NA

NA

0.97 (0.95, 0.98)

PTO

540

0.30 (0.24, 0.37)

NA

NA

0.02 (0.01, 0.05)

0.92 (0.89, 0.95)

NA

NA

1.00 (0.98, 1.00)

PAS

469

0.14 (0.08, 0.24)

NA

NA

0.00 (0.00, 0.04)

0.97 (0.95, 0.98)

NA

NA

1.00 (0.99, 1.00)

  1. Numbers in brackets represent the corresponding 95% confidence intervals. An NA is assigned when the software does not predict the resistance profile for the specific drug