TY - JOUR
T1 - Determination of Phenotypic Resistance Cutoffs from Routine Clinical Data
AU - Pironti, Alejandro
AU - Walter, Hauke
AU - Pfeifer, Nico
AU - Knops, Elena
AU - Lübke, Nadine
AU - Büch, Joachim
AU - Di Giambenedetto, Simona
AU - Kaiser, Rolf
AU - Lengauer, Thomas
PY - 2016
Y1 - 2016
N2 - BACKGROUND:: HIV-1 drug resistance can be measured with phenotypic drug-resistance tests. However, the output of these tests, the resistance factor (RF), requires interpretation with respect to the in-vivo activity of the tested variant. Specifically, the dynamic range of the RF for each drug has to be divided into a suitable number of clinically meaningful intervals. METHODS:: We calculated a susceptible-to-intermediate and an intermediate-to-resistant cutoff per drug for RFs predicted by geno2pheno[resistance]. Probability densities for therapeutic success and failure were estimated from 10,444 treatment episodes. The density estimation procedure corrects for the activity of the backbone drug compounds and for therapy failure without drug resistance. For estimating the probability of therapeutic success given an RF, we fit a sigmoid function. The cutoffs are given by the roots of the third derivative of the sigmoid function. RESULTS:: For performance assessment, we used geno2pheno[resistance] RF predictions and the cutoffs for predicting therapeutic success in two independent sets of therapy episodes. HIVdb was used for performance comparison. On one test set (n=807), our cutoffs and HIVdb performed equally well (ROC-AUC: 0.68). On the other test set (n=917), our cutoffs (ROC-AUC: 0.63) and HIVdb (ROC-AUC: 0.65) performed comparatively well. CONCLUSIONS:: Our method can be used for calculating clinically relevant cutoffs for (predicted) RFs. The method corrects for the activity of the backbone drug compounds and for therapy failure without drug resistance. Our method’s performance is comparable to that of HIVdb. RF cutoffs for the latest version of geno2pheno[resistance] have been estimated with this method.This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
AB - BACKGROUND:: HIV-1 drug resistance can be measured with phenotypic drug-resistance tests. However, the output of these tests, the resistance factor (RF), requires interpretation with respect to the in-vivo activity of the tested variant. Specifically, the dynamic range of the RF for each drug has to be divided into a suitable number of clinically meaningful intervals. METHODS:: We calculated a susceptible-to-intermediate and an intermediate-to-resistant cutoff per drug for RFs predicted by geno2pheno[resistance]. Probability densities for therapeutic success and failure were estimated from 10,444 treatment episodes. The density estimation procedure corrects for the activity of the backbone drug compounds and for therapy failure without drug resistance. For estimating the probability of therapeutic success given an RF, we fit a sigmoid function. The cutoffs are given by the roots of the third derivative of the sigmoid function. RESULTS:: For performance assessment, we used geno2pheno[resistance] RF predictions and the cutoffs for predicting therapeutic success in two independent sets of therapy episodes. HIVdb was used for performance comparison. On one test set (n=807), our cutoffs and HIVdb performed equally well (ROC-AUC: 0.68). On the other test set (n=917), our cutoffs (ROC-AUC: 0.63) and HIVdb (ROC-AUC: 0.65) performed comparatively well. CONCLUSIONS:: Our method can be used for calculating clinically relevant cutoffs for (predicted) RFs. The method corrects for the activity of the backbone drug compounds and for therapy failure without drug resistance. Our method’s performance is comparable to that of HIVdb. RF cutoffs for the latest version of geno2pheno[resistance] have been estimated with this method.This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
KW - Infectious Diseases
KW - Pharmacology (medical)
KW - Infectious Diseases
KW - Pharmacology (medical)
UR - http://hdl.handle.net/10807/94840
UR - http://journals.lww.com/jaids/pages/default.aspx
U2 - 10.1097/QAI.0000000000001198
DO - 10.1097/QAI.0000000000001198
M3 - Article
SN - 1525-4135
VL - 2016
SP - 1-N/A
JO - Journal of Acquired Immune Deficiency Syndromes
JF - Journal of Acquired Immune Deficiency Syndromes
ER -