Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

< Back to Article

Fig 1.

Flowchart of participant selection for the development of nomogram for prediction of late culture conversion among MDR-TB patients, and reasons for exclusion, North West Ethiopia, September 2010 to July 2020.

More »

Fig 1 Expand

Table 1.

Socio-demographic characteristics of MDR-TB patients in North West Ethiopia, 2010 to 2020 (N = 316).

More »

Table 1 Expand

Fig 2.

Behavioral characteristics of MDR-TB patients in North West Ethiopia, September 2010 to July 2020.

More »

Fig 2 Expand

Table 2.

Clinical characteristics of MDR TB patients in Northwest Ethiopia, 2010 to 2020 (N = 316).

More »

Table 2 Expand

Table 3.

Univariable and multivariable logistic regression analysis using potential predictors of late culture conversion in patients with multidrug-resistant tuberculosis, in North West Ethiopia, 2010–2020 (N = 316).

More »

Table 3 Expand

Fig 3.

Nomogram for the prediction of late culture conversion among MDR-TB patients in North West Ethiopia, September 2010 to July 2020.

More »

Fig 3 Expand

Fig 4.

ROC curve of the risk prediction model for prediction of late culture conversion among MDR-TB patients in North West Ethiopia.

More »

Fig 4 Expand

Fig 5.

Observed versus predicted probabilities of late culture conversion in a sample.

More »

Fig 5 Expand

Table 4.

Risk classification of late culture conversion using a nomogram (n = 316).

More »

Table 4 Expand

Table 5.

Performance of the nomogram at different cut-off points.

More »

Table 5 Expand

Fig 6.

ROC curve of the model after internal validation using the bootstrapping method.

More »

Fig 6 Expand

Fig 7.

Decision curve plot showing the net benefit of the developed model for carrying out an intervention measure in MDR-TB patients at risk of late culture conversion.

More »

Fig 7 Expand