PMID- 29568609
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20240213
IS  - 2078-6751 (Electronic)
IS  - 1608-9693 (Print)
IS  - 1608-9693 (Linking)
VI  - 17
IP  - 1
DP  - 2016
TI  - Computational models as predictors of HIV treatment outcomes for the Phidisa 
      cohort in South Africa.
PG  - 450
LID - 10.4102/sajhivmed.v17i1.450 [doi]
LID - 450
AB  - BACKGROUND: Selecting the optimal combination of HIV drugs for an individual in 
      resource-limited settings is challenging because of the limited availability of 
      drugs and genotyping. OBJECTIVE: The evaluation as a potential treatment support 
      tool of computational models that predict response to therapy without a genotype, 
      using cases from the Phidisa cohort in South Africa. METHODS: Cases from Phidisa 
      of treatment change following failure were identified that had the following data 
      available: baseline CD4 count and viral load, details of failing and previous 
      antiretroviral drugs, drugs in new regimen and time to follow-up. The HIV 
      Resistance Response Database Initiative's (RDI's) models used these data to 
      predict the probability of a viral load < 50 copies/mL at follow-up. The models 
      were also used to identify effective alternative combinations of three locally 
      available drugs. RESULTS: The models achieved accuracy (area under the 
      receiver-operator characteristic curve) of 0.72 when predicting response to 
      therapy, which is less accurate than for an independent global test set (0.80) 
      but at least comparable to that of genotyping with rules-based interpretation. 
      The models were able to identify alternative locally available three-drug 
      regimens that were predicted to be effective in 69% of all cases and 62% of those 
      whose new treatment failed in the clinic. CONCLUSION: The predictive accuracy of 
      the models for these South African patients together with the results of previous 
      studies suggest that the RDI's models have the potential to optimise treatment 
      selection and reduce virological failure in different patient populations, 
      without the use of a genotype.
FAU - Revell, Andrew
AU  - Revell A
AD  - The HIV Resistance Response Database Initiative (RDI), London, United Kingdom.
FAU - Khabo, Paul
AU  - Khabo P
AD  - Project PHIDISA, South African Military Health Service (SAMHS), Lyttelton, South 
      Africa.
FAU - Ledwaba, Lotty
AU  - Ledwaba L
AD  - Project PHIDISA, South African National Defence Force (SANDF), Lyttelton, South 
      Africa.
FAU - Emery, Sean
AU  - Emery S
AD  - Kirby Institute, University of New South Wales, Sydney, Australia.
FAU - Wang, Dechao
AU  - Wang D
AD  - The HIV Resistance Response Database Initiative (RDI), London, United Kingdom.
FAU - Wood, Robin
AU  - Wood R
AD  - The Desmond Tutu HIV Centre, University of Cape Town, South Africa.
FAU - Morrow, Carl
AU  - Morrow C
AD  - The Desmond Tutu HIV Centre, University of Cape Town, South Africa.
FAU - Tempelman, Hugo
AU  - Tempelman H
AD  - Ndlovu Care Group, Elandsdoorn, South Africa.
FAU - Hamers, Raph L
AU  - Hamers RL
AD  - Academic Medical Center of the University of Amsterdam, Amsterdam, the 
      Netherlands.
FAU - Reiss, Peter
AU  - Reiss P
AD  - Academic Medical Center of the University of Amsterdam, Amsterdam, the 
      Netherlands.
AD  - Stichting HIV Monitoring, Amsterdam, the Netherlands.
FAU - van Sighem, Ard
AU  - van Sighem A
AD  - Stichting HIV Monitoring, Amsterdam, the Netherlands.
FAU - Pozniak, Anton
AU  - Pozniak A
AD  - Chelsea and Westminster Hospital, London, United Kingdom.
FAU - Montaner, Julio
AU  - Montaner J
AD  - BC Centre for Excellence in HIV/AIDS, Vancouver, Canada.
FAU - Lane, H Clifford
AU  - Lane HC
AD  - National Institute of Allergy and Infectious Diseases, Bethesda, United States.
FAU - Larder, Brendan
AU  - Larder B
AD  - The HIV Resistance Response Database Initiative (RDI), London, United Kingdom.
LA  - eng
GR  - HHSN261200800001C/RC/CCR NIH HHS/United States
GR  - HHSN261200800001E/CA/NCI NIH HHS/United States
PT  - Journal Article
DEP - 20160630
PL  - South Africa
TA  - South Afr J HIV Med
JT  - Southern African journal of HIV medicine
JID - 100965417
PMC - PMC5843195
COIS- The authors declare that they have no financial or personal relationships that 
      may have inappropriately influenced them in writing this article.
EDAT- 2016/06/30 00:00
MHDA- 2016/06/30 00:01
PMCR- 2016/06/30
CRDT- 2018/03/24 06:00
PHST- 2015/11/12 00:00 [received]
PHST- 2016/04/22 00:00 [accepted]
PHST- 2018/03/24 06:00 [entrez]
PHST- 2016/06/30 00:00 [pubmed]
PHST- 2016/06/30 00:01 [medline]
PHST- 2016/06/30 00:00 [pmc-release]
AID - HIVMED-17-450 [pii]
AID - 10.4102/sajhivmed.v17i1.450 [doi]
PST - epublish
SO  - South Afr J HIV Med. 2016 Jun 30;17(1):450. doi: 10.4102/sajhivmed.v17i1.450. 
      eCollection 2016.