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AIDS CLINICAL ROUNDS
The UC San Diego AntiViral Research Center sponsors weekly
presentations by infectious disease clinicians, physicians and
researchers. The goal of these presentations is to provide the most
current research, clinical practices and trends in HIV, HBV, HCV, TB
and other infectious diseases of global significance.

The slides from the AIDS Clinical Rounds presentation that you are
about to view are intended for the educational purposes of our
audience. They may not be used for other purposes without the
presenter’s express permission.
Recovering Information from Suppressed Plasma and
                CSF HIV Viral Load

                                 Florin Vaida, PhD

                       Division of Biostatistics and Bioinformatics
                      Department of Family and Preventive Medicine
                        and HIV Neurobehavioral Research Center
                                   <fvaida@ucsd.edu>
                                  AIDS Clinical Rounds


                                  August 17, 2012




Florin Vaida (UCSD)                Censored HIV Viral Load            AIDS Clinical Rounds   1 / 23
HIV Viral Load


   HIV viral load is, together with CD4 T-cell count, the main marker of
   HIV disease
   In treated individuals HIV viral load is “suppressed”
   Suppressed VL = below the limit of detection of the assay
          50 cp/ml for Roche Amplicor)
   HIV VL never goes as low as 0
   The unknown (censored) VL in the 0-50 range contains important
   information for clinical research
          Importance for clinical practice?
   Dealing with censored VL requires more sophisticated statistical
   methods



   Florin Vaida (UCSD)           Censored HIV Viral Load   AIDS Clinical Rounds   2 / 23
CHARTER Study



   CNS HIV Antiretroviral Therapy Effects Research (CHARTER) project
   investigates effects of HIV infection and treatment on the brain
   Multicenter observational study, including San Diego site (HNRC)
   1,500+ subjects
   700+ subjects in longitudinal substudy, with 4,000+ visits
   HIV RNA measured in plasma and in 3,300 CSF samples
   Neurocognitive functioning measured at all visits
   Wide cross-sectional snapshot of HIV+ population, including treated
   and untreated individuals




  Florin Vaida (UCSD)       Censored HIV Viral Load    AIDS Clinical Rounds   3 / 23
Plasma HIV Viral Load in CHARTER


   1316 subjects are either treatment naive or on HAART
   Plasma HIV VL (1296 samples)
             PLASMA      Undetectable               Detectable      Total
            ART Naive     14 (5.5%)                 237 (94%)        251
            On HAART      576 (55%)                 469 (45%)       1045


   CSF HIV VL (1023 samples)
               CSF      Undetectable                Detectable      Total
            ART Naive      51 (25%)                 157 (75%)        208
            On HAART      688 (84%)                 127 (16%)        815




   Florin Vaida (UCSD)    Censored HIV Viral Load                AIDS Clinical Rounds   4 / 23
Plasma HIV Viral Load, ART Naive Subjects


                      ART Naive, Plasma                                                 ART Naive, Plasma




                                                                               6
            50




                                                             Plasma Log10 VL

                                                                               5
Frequency




                                                                               4
            30




                                                                               3
                                                                               2
            0 10




                     ?                                                                  ?

                                                                               1
                      1     2     3   4   5   6   7                                -3       -2   -1     0     1     2   3

                          Plasma Log10 VL                                                    Normal Quantile



            Florin Vaida (UCSD)               Censored HIV Viral Load                            AIDS Clinical Rounds   5 / 23
CSF HIV Viral Load, ART Naive Subjects


                         ART Naive, CSF                                                     ART Naive, CSF
            60




                                                                                5
                                                                                4
                                                                 CSF Log10 VL
Frequency

            40




                                                                                3
                                                                                2
            20




                                                                                1
                          ?                                                                 ?
                                                                                -1 0
            0




                   -1    0        1   2   3   4      5                                 -3   -2   -1     0     1     2   3

                             CSF Log10 VL                                                    Normal Quantile



            Florin Vaida (UCSD)                   Censored HIV Viral Load                        AIDS Clinical Rounds   6 / 23
Plasma HIV Viral Load, Subjects On HAART


                        Plasma VL, HAART                                                 Plasma VL, HAART




                                                                               6
            600




                                                             Plasma Log10 VL

                                                                               4
Frequency

            400




                                                                               2
                         ?                                                                ?
                                                                               0
            200




                                                                               -2
                                                                               -4
            0




                   -4     -2      0   2   4       6                                 -3    -2   -1     0     1     2   3

                          Plasma Log10 VL                                                  Normal Quantile



            Florin Vaida (UCSD)               Censored HIV Viral Load                          AIDS Clinical Rounds   7 / 23
CSF HIV Viral Load, Subjects On HAART


                         CSF VL, HAART                                                       CSF VL, HAART
            600




                                                                             4
                                                              CSF Log10 VL

                                                                             2
Frequency




                                                                                             ?
            400




                         ?
                                                                             0
                                                                             -6 -4 -2
            200
            0




                   -6    -4       -2   0   2   4                                        -3   -2   -1     0     1     2   3

                              CSF Log10 VL                                                    Normal Quantile



            Florin Vaida (UCSD)                Censored HIV Viral Load                            AIDS Clinical Rounds   8 / 23
How To Analyze Viral Load?


   VL (plasma and/or CSF) is a key outcome or predictor in HIV studies
   How to deal with VL in analyses?
   Option 1: VL detectable versus undetectable
          We throw away important information
          Not reasonable for ART naive subjects
   Option 2: Continuous VL (use 50 for undetectable subjects)
          May be OK when comparing two groups (e.g., treatment A vs.
          treatment B)
          Not OK in more complex analyses, e.g. controlling for baseline CD4
          Awkward for subjects on ART
          Biased interpretation for means, differences b/w means




   Florin Vaida (UCSD)         Censored HIV Viral Load     AIDS Clinical Rounds   9 / 23
Statistical Methods for Censored Viral Load




    Option 3: Use more sophisticated statistical methods!
    Two main classes of statistical methods:
      1   Methods for censored data
      2   Imputation methods




   Florin Vaida (UCSD)         Censored HIV Viral Load   AIDS Clinical Rounds   10 / 23
Methods for Censored Viral Load




   Methods for censored data: usually treat VL as a censored response
   Methods are developed in the context of survival analysis
   E.g., if assuming that Log10 VL has a normal distribution, regression
   methods are equivalent to those for log-normal time-to-event
   Accelerated failure times (AFT) models




   Florin Vaida (UCSD)      Censored HIV Viral Load   AIDS Clinical Rounds   11 / 23
CSF VL as a function of CD4 cell counts, ART Naives

   ART naives: 25% undetectable in CSF
   Study association of CSF VL with CD4
   Naive approach (use 50 cp/ml for undetectables):
          Regression equation: Log10 CSF VL = 3.506 - 0.00128 CD4
   Moreover, non-linear association is suggested by plot

                                        5.0
                         Log10 CSF VL

                                        4.0
                                        3.0
                                        2.0




                                              0       500       1000       1500

                                                        CD4 T-cell Count




   Florin Vaida (UCSD)                        Censored HIV Viral Load             AIDS Clinical Rounds   12 / 23
CSF VL as a function of CD4 cell counts, ART Naives
   Log-normal AFT model, i.e. correct for censoring:
          Regression equation: Log10 CSF VL = 3.701 - 0.00198 CD4




                                        5.0
                         Log10 CSF VL

                                        4.0
                                        3.0
                                        2.0




                                              0       500       1000       1500

                                                        CD4 T-cell Count



   100 additional CD4 cells are associated with a CSF VL lower by 0.20
   logs, not 0.12 logs
   Intuitively, the adjusted line is treating the censored CSF VL as if they
   were lower than 50 cp/ml
   Florin Vaida (UCSD)                        Censored HIV Viral Load             AIDS Clinical Rounds   13 / 23
Multiple Imputation
   Impute (generate) censored CSF VL from the interval (0, 50)
   Multiple imputation accounts for uncertainty in censored values
   Best to impute using association with other variables, such as CD4
   Usually assume normal distribution for log10 VL (fully observed)
   Distribution assumption more critical as proportion of censoring
   increases, e.g. for subjects on ART
   Alternative distributions are available, one can do a sensitivity analysis
                                        5
                                        4
                         Log10 CSF VL

                                        3
                                        2




                                                x   xxx x xx xxxxxx xx x xxx
                                                        x x xxx x x x x x
                                                                x xx           x x   x     xx   x
                                                                                                x
                                        1




                                            0            500            1000             1500

                                                             CD4 T-cell Count

   Florin Vaida (UCSD)                              Censored HIV Viral Load                         AIDS Clinical Rounds   14 / 23
Viral Load in Longitudinal Studies



    VL collected over time is common in HIV studies
    Longitudinal studies present additional challenges:
          Modeling the time trajectory
          Dealing adequately with within-subject correlation
          Dealing with dropout
    Mixed-effects models and Generalized estimating equations (GEE) are
    powerful tools for longitudinal data
    Special methods are necessary to adjust for censored VL




   Florin Vaida (UCSD)          Censored HIV Viral Load        AIDS Clinical Rounds   15 / 23
Censored Viral Load in Longitudinal Studies
    One of my research interests: censored data in longitudinal studies
    (mixed effects models)
    Multiple imputation for MEM: Fitzgerald, Vaida, & DeGruttola (Stat
    in Medicine 2002)
    MEM with censored data:
          Vaida, Fitzgerald & DeGruttola (Comp Stat Data Analysis 2007)
          Vaida & Liu (J Comp Graph Stat 2009)
          lmec package in R (Vaida & Liu)  6
                                           5
                         log10 HIV−1 RNA

                                           4
                                           3




                                               N=71 58   57   43   34      24         13
                                           2




                                                0    3   6    9    12 15 18 21 24

                                                    Month of Treatment Interruption
   Florin Vaida (UCSD)                          Censored HIV Viral Load                    AIDS Clinical Rounds   16 / 23
Treatment Interruption of HIV (Saitoh et al., 2008)
Unstructured Rx interruption in 72 adolescents, 4 sites in the US;
observational study




                                  50
                                  40
                                  30
                          CD4 %

                                  20
                                  10
                                  0




                                       0    3   6    9   12 15 18 21 24

                                           Month of Treatment Interruption




    Florin Vaida (UCSD)                     Censored HIV Viral Load          AIDS Clinical Rounds   17 / 23
Treatment Interruption of HIV (Saitoh et al., 2008)

Observed mean CD4% seems to recover after 6 months




                                  50
                                  40
                                  30
                          CD4 %

                                  20
                                  10




                                       N=70 59 57 44 34            24         12
                                  0




                                        0    3   6    9   12 15 18 21 24

                                            Month of Treatment Interruption




    Florin Vaida (UCSD)                      Censored HIV Viral Load               AIDS Clinical Rounds   18 / 23
Treatment Interruption of HIV (Saitoh et al., 2008)
    CD4 % modeled via a mixed effects (random intercept) model:
                                      CD4%ij = µj + bi + eij
    Subject trajectories = parallel curves
    Model accounts for dropout (red), shows continuing CD4% decline:

                                 50
                                 40
                                 30
                         CD4 %

                                 20
                                 10




                                      N=70 59 57 44 34            24         12
                                 0




                                       0    3   6    9   12 15 18 21 24

                                           Month of Treatment Interruption
   Florin Vaida (UCSD)                     Censored HIV Viral Load                AIDS Clinical Rounds   19 / 23
Treatment Interruption of HIV (Saitoh et al., 2008):
Plasma VL
    Mixed-effects (random intercept) profile model for log10 HIV VL,
    account for censoring (black line)


                                           6
                                           5
                         log10 HIV−1 RNA

                                           4
                                           3




                                               N=71 58   57   43   34      24         13
                                           2




                                                0    3   6    9    12 15 18 21 24

                                                    Month of Treatment Interruption



   Florin Vaida (UCSD)                              Censored HIV Viral Load                AIDS Clinical Rounds   20 / 23
Bi-exponential model for Viral Decay in ACTG315 (Vaida,
Fitzgerald, & DeGruttola, 2007)
   Single-arm ART study (ZDV/3TC/RTV) in ART-naive patients
   Bi-exponential model for viral decay:
                         VL(t) = A1 exp(−β1 t) + A2 exp(−β2 t)
   Use a mixed-effects model with random subject effects for β1 , β2
   Account for censoring BLD




   Florin Vaida (UCSD)            Censored HIV Viral Load   AIDS Clinical Rounds   21 / 23
Bi-exponential model for Viral Decay in ACTG315




   Florin Vaida (UCSD)   Censored HIV Viral Load   AIDS Clinical Rounds   22 / 23
Joint modeling of plasma and CSF VL in CHARTER
   MI using joint modeling of CSF and plasma VL
   Use correlation with CD4, duration of infection; ART naive subjects
   Ultimately, use imputed values to study association of VL with
   neurocognitive impairment
   R21 application submitted




   Florin Vaida (UCSD)     Censored HIV Viral Load   AIDS Clinical Rounds   23 / 23

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Recovering Information from Suppressed Plasma and CSF HIV Viral Load Using Multiple Imputation

  • 1. AIDS CLINICAL ROUNDS The UC San Diego AntiViral Research Center sponsors weekly presentations by infectious disease clinicians, physicians and researchers. The goal of these presentations is to provide the most current research, clinical practices and trends in HIV, HBV, HCV, TB and other infectious diseases of global significance. The slides from the AIDS Clinical Rounds presentation that you are about to view are intended for the educational purposes of our audience. They may not be used for other purposes without the presenter’s express permission.
  • 2. Recovering Information from Suppressed Plasma and CSF HIV Viral Load Florin Vaida, PhD Division of Biostatistics and Bioinformatics Department of Family and Preventive Medicine and HIV Neurobehavioral Research Center <fvaida@ucsd.edu> AIDS Clinical Rounds August 17, 2012 Florin Vaida (UCSD) Censored HIV Viral Load AIDS Clinical Rounds 1 / 23
  • 3. HIV Viral Load HIV viral load is, together with CD4 T-cell count, the main marker of HIV disease In treated individuals HIV viral load is “suppressed” Suppressed VL = below the limit of detection of the assay 50 cp/ml for Roche Amplicor) HIV VL never goes as low as 0 The unknown (censored) VL in the 0-50 range contains important information for clinical research Importance for clinical practice? Dealing with censored VL requires more sophisticated statistical methods Florin Vaida (UCSD) Censored HIV Viral Load AIDS Clinical Rounds 2 / 23
  • 4. CHARTER Study CNS HIV Antiretroviral Therapy Effects Research (CHARTER) project investigates effects of HIV infection and treatment on the brain Multicenter observational study, including San Diego site (HNRC) 1,500+ subjects 700+ subjects in longitudinal substudy, with 4,000+ visits HIV RNA measured in plasma and in 3,300 CSF samples Neurocognitive functioning measured at all visits Wide cross-sectional snapshot of HIV+ population, including treated and untreated individuals Florin Vaida (UCSD) Censored HIV Viral Load AIDS Clinical Rounds 3 / 23
  • 5. Plasma HIV Viral Load in CHARTER 1316 subjects are either treatment naive or on HAART Plasma HIV VL (1296 samples) PLASMA Undetectable Detectable Total ART Naive 14 (5.5%) 237 (94%) 251 On HAART 576 (55%) 469 (45%) 1045 CSF HIV VL (1023 samples) CSF Undetectable Detectable Total ART Naive 51 (25%) 157 (75%) 208 On HAART 688 (84%) 127 (16%) 815 Florin Vaida (UCSD) Censored HIV Viral Load AIDS Clinical Rounds 4 / 23
  • 6. Plasma HIV Viral Load, ART Naive Subjects ART Naive, Plasma ART Naive, Plasma 6 50 Plasma Log10 VL 5 Frequency 4 30 3 2 0 10 ? ? 1 1 2 3 4 5 6 7 -3 -2 -1 0 1 2 3 Plasma Log10 VL Normal Quantile Florin Vaida (UCSD) Censored HIV Viral Load AIDS Clinical Rounds 5 / 23
  • 7. CSF HIV Viral Load, ART Naive Subjects ART Naive, CSF ART Naive, CSF 60 5 4 CSF Log10 VL Frequency 40 3 2 20 1 ? ? -1 0 0 -1 0 1 2 3 4 5 -3 -2 -1 0 1 2 3 CSF Log10 VL Normal Quantile Florin Vaida (UCSD) Censored HIV Viral Load AIDS Clinical Rounds 6 / 23
  • 8. Plasma HIV Viral Load, Subjects On HAART Plasma VL, HAART Plasma VL, HAART 6 600 Plasma Log10 VL 4 Frequency 400 2 ? ? 0 200 -2 -4 0 -4 -2 0 2 4 6 -3 -2 -1 0 1 2 3 Plasma Log10 VL Normal Quantile Florin Vaida (UCSD) Censored HIV Viral Load AIDS Clinical Rounds 7 / 23
  • 9. CSF HIV Viral Load, Subjects On HAART CSF VL, HAART CSF VL, HAART 600 4 CSF Log10 VL 2 Frequency ? 400 ? 0 -6 -4 -2 200 0 -6 -4 -2 0 2 4 -3 -2 -1 0 1 2 3 CSF Log10 VL Normal Quantile Florin Vaida (UCSD) Censored HIV Viral Load AIDS Clinical Rounds 8 / 23
  • 10. How To Analyze Viral Load? VL (plasma and/or CSF) is a key outcome or predictor in HIV studies How to deal with VL in analyses? Option 1: VL detectable versus undetectable We throw away important information Not reasonable for ART naive subjects Option 2: Continuous VL (use 50 for undetectable subjects) May be OK when comparing two groups (e.g., treatment A vs. treatment B) Not OK in more complex analyses, e.g. controlling for baseline CD4 Awkward for subjects on ART Biased interpretation for means, differences b/w means Florin Vaida (UCSD) Censored HIV Viral Load AIDS Clinical Rounds 9 / 23
  • 11. Statistical Methods for Censored Viral Load Option 3: Use more sophisticated statistical methods! Two main classes of statistical methods: 1 Methods for censored data 2 Imputation methods Florin Vaida (UCSD) Censored HIV Viral Load AIDS Clinical Rounds 10 / 23
  • 12. Methods for Censored Viral Load Methods for censored data: usually treat VL as a censored response Methods are developed in the context of survival analysis E.g., if assuming that Log10 VL has a normal distribution, regression methods are equivalent to those for log-normal time-to-event Accelerated failure times (AFT) models Florin Vaida (UCSD) Censored HIV Viral Load AIDS Clinical Rounds 11 / 23
  • 13. CSF VL as a function of CD4 cell counts, ART Naives ART naives: 25% undetectable in CSF Study association of CSF VL with CD4 Naive approach (use 50 cp/ml for undetectables): Regression equation: Log10 CSF VL = 3.506 - 0.00128 CD4 Moreover, non-linear association is suggested by plot 5.0 Log10 CSF VL 4.0 3.0 2.0 0 500 1000 1500 CD4 T-cell Count Florin Vaida (UCSD) Censored HIV Viral Load AIDS Clinical Rounds 12 / 23
  • 14. CSF VL as a function of CD4 cell counts, ART Naives Log-normal AFT model, i.e. correct for censoring: Regression equation: Log10 CSF VL = 3.701 - 0.00198 CD4 5.0 Log10 CSF VL 4.0 3.0 2.0 0 500 1000 1500 CD4 T-cell Count 100 additional CD4 cells are associated with a CSF VL lower by 0.20 logs, not 0.12 logs Intuitively, the adjusted line is treating the censored CSF VL as if they were lower than 50 cp/ml Florin Vaida (UCSD) Censored HIV Viral Load AIDS Clinical Rounds 13 / 23
  • 15. Multiple Imputation Impute (generate) censored CSF VL from the interval (0, 50) Multiple imputation accounts for uncertainty in censored values Best to impute using association with other variables, such as CD4 Usually assume normal distribution for log10 VL (fully observed) Distribution assumption more critical as proportion of censoring increases, e.g. for subjects on ART Alternative distributions are available, one can do a sensitivity analysis 5 4 Log10 CSF VL 3 2 x xxx x xx xxxxxx xx x xxx x x xxx x x x x x x xx x x x xx x x 1 0 500 1000 1500 CD4 T-cell Count Florin Vaida (UCSD) Censored HIV Viral Load AIDS Clinical Rounds 14 / 23
  • 16. Viral Load in Longitudinal Studies VL collected over time is common in HIV studies Longitudinal studies present additional challenges: Modeling the time trajectory Dealing adequately with within-subject correlation Dealing with dropout Mixed-effects models and Generalized estimating equations (GEE) are powerful tools for longitudinal data Special methods are necessary to adjust for censored VL Florin Vaida (UCSD) Censored HIV Viral Load AIDS Clinical Rounds 15 / 23
  • 17. Censored Viral Load in Longitudinal Studies One of my research interests: censored data in longitudinal studies (mixed effects models) Multiple imputation for MEM: Fitzgerald, Vaida, & DeGruttola (Stat in Medicine 2002) MEM with censored data: Vaida, Fitzgerald & DeGruttola (Comp Stat Data Analysis 2007) Vaida & Liu (J Comp Graph Stat 2009) lmec package in R (Vaida & Liu) 6 5 log10 HIV−1 RNA 4 3 N=71 58 57 43 34 24 13 2 0 3 6 9 12 15 18 21 24 Month of Treatment Interruption Florin Vaida (UCSD) Censored HIV Viral Load AIDS Clinical Rounds 16 / 23
  • 18. Treatment Interruption of HIV (Saitoh et al., 2008) Unstructured Rx interruption in 72 adolescents, 4 sites in the US; observational study 50 40 30 CD4 % 20 10 0 0 3 6 9 12 15 18 21 24 Month of Treatment Interruption Florin Vaida (UCSD) Censored HIV Viral Load AIDS Clinical Rounds 17 / 23
  • 19. Treatment Interruption of HIV (Saitoh et al., 2008) Observed mean CD4% seems to recover after 6 months 50 40 30 CD4 % 20 10 N=70 59 57 44 34 24 12 0 0 3 6 9 12 15 18 21 24 Month of Treatment Interruption Florin Vaida (UCSD) Censored HIV Viral Load AIDS Clinical Rounds 18 / 23
  • 20. Treatment Interruption of HIV (Saitoh et al., 2008) CD4 % modeled via a mixed effects (random intercept) model: CD4%ij = µj + bi + eij Subject trajectories = parallel curves Model accounts for dropout (red), shows continuing CD4% decline: 50 40 30 CD4 % 20 10 N=70 59 57 44 34 24 12 0 0 3 6 9 12 15 18 21 24 Month of Treatment Interruption Florin Vaida (UCSD) Censored HIV Viral Load AIDS Clinical Rounds 19 / 23
  • 21. Treatment Interruption of HIV (Saitoh et al., 2008): Plasma VL Mixed-effects (random intercept) profile model for log10 HIV VL, account for censoring (black line) 6 5 log10 HIV−1 RNA 4 3 N=71 58 57 43 34 24 13 2 0 3 6 9 12 15 18 21 24 Month of Treatment Interruption Florin Vaida (UCSD) Censored HIV Viral Load AIDS Clinical Rounds 20 / 23
  • 22. Bi-exponential model for Viral Decay in ACTG315 (Vaida, Fitzgerald, & DeGruttola, 2007) Single-arm ART study (ZDV/3TC/RTV) in ART-naive patients Bi-exponential model for viral decay: VL(t) = A1 exp(−β1 t) + A2 exp(−β2 t) Use a mixed-effects model with random subject effects for β1 , β2 Account for censoring BLD Florin Vaida (UCSD) Censored HIV Viral Load AIDS Clinical Rounds 21 / 23
  • 23. Bi-exponential model for Viral Decay in ACTG315 Florin Vaida (UCSD) Censored HIV Viral Load AIDS Clinical Rounds 22 / 23
  • 24. Joint modeling of plasma and CSF VL in CHARTER MI using joint modeling of CSF and plasma VL Use correlation with CD4, duration of infection; ART naive subjects Ultimately, use imputed values to study association of VL with neurocognitive impairment R21 application submitted Florin Vaida (UCSD) Censored HIV Viral Load AIDS Clinical Rounds 23 / 23