title: Segmental modeling of changing viral load to assess drug resistance in HIV infection.
abstract: Studies of viral dynamics are important to our understanding of the pathogenesis of HIV-1 infection and in assessment of the potency of antiretroviral therapies. Although many different viral dynamic models and methods for estimating viral dynamic parameters have been proposed and used in various studies, none has been entirely satisfactory. We propose here a segmental model to describe the viral load, and estimate the dynamic parameters by using a mixed-effects model. We address the relation between the baseline viral load and the decay rate of the first phase of viral load decay, and divide patients into three categories on the basis of their changing viral load patterns.
authors: Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY 14642, USA.
authors: H
authors: H
authors: Liang
mesh_terms: D024882:Drug Resistance, Viral / Q000502:physiology*; D015658:HIV Infections / Q000378:metabolism / Q000821:virology*; D006801:Humans; D016014:Linear Models; D008954:Models, Biological; D012367:RNA, Viral / Q000378:metabolism; D019562:Viral Load / Q000706:statistics & numerical data*
chemical_list: D012367:RNA, Viral
references: Math Biosci. 1999 Aug;160(1):63-82
references: 10465932
references: Biometrics. 1990 Sep;46(3):673-87
references: 2242409
references: Lancet. 2001 Nov 24;358(9295):1760-5
references: 11734232
references: Biometrics. 1999 Jun;55(2):410-8
references: 11318194
references: J Infect Dis. 1998 Jul;178(1):70-9
references: 9652425
references: AIDS. 1998 Aug 20;12(12):1483-90
references: 9727569
references: Nature. 1997 May 8;387(6629):188-91
references: 9144290
references: Science. 1996 Mar 15;271(5255):1582-6
references: 8599114
references: J Infect Dis. 1999 Apr;179(4):799-807
references: 10068574
references: Nature. 1995 Jan 12;373(6510):117-22
references: 7529365
references: Nature. 1995 Jan 12;373(6510):123-6
references: 7816094