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. Author manuscript; available in PMC: 2012 May 1.
Published in final edited form as: J Acquir Immune Defic Syndr. 2012 May 1;60(1):99–110. doi: 10.1097/QAI.0b013e31824aeaaa

Table 3.

Association of Demographic, Behavioral, Virologic, and Clinical Factors with HIV-1 RNA Level (log10 copies/mL) in CVL Among 481 Participants Across 976 Visits.

Univariate modelsb Multivariate model excluding
summary inflammationc
Multivariate model
including summary
inflammationg
Factora Mean SE) β (SE) P β (SE) P β (SE) P
Self-identified ethnicity
      White (non-Hispanic) 2.08 (0.09) Ref - -
      African-American (non-Hispanic) 2.23 (0.05) 0.15 (0.10) 0.15 - -
      Hispanic 2.32 (0.08) 0.24 (0.12) 0.04 - -
      Other 2.08 (0.18) −0.002 (0.20) 0.99 - -
Antiretroviral therapy
      No therapy 2.28 (0.06) Ref Ref Ref
      Monotherapy 2.42 (0.10) 0.13 (0.11) 0.23 0.03 (0.11) 0.78 0.03 (0.11) 0.79
      Combination therapy 2.46 (0.09) 0.18 (0.10) 0.09 0.08 (0.10) 0.43 0.09 (0.09) 0.33
      HAART 1.90 (0.04) −0.38 (0.07) <0.001 −0.17 (0.07) 0.01 −0.19 (0.07) 0.005
Plasma HIV-1 RNA, copies/mL (PVL)
      ≤4,000 1.83 (0.03) Ref Ref Ref
      4,001–9,999 2.09 (0.08) 0.26 (0.09) 0.003 0.27 (0.09) 0.002 0.22 (0.08) 0.01
      10,000–39,999 2.38 (0.08) 0.55 (0.09) <0.001 0.47 (0.09) <0.001 0.47 (0.09) <0.001
      40,000–99,999 2.60 (0.10) 0.77 (0.11) <0.001 0.74 (0.11) <0.001 0.68 (0.11) <0.001
      ≥100,000 3.02 (0.12) 1.19 (0.12) <0.001d 1.09 (0.14) <0.001d 1.09 (0.13) <0.001d
      Per log10 increase 0.55 (0.04) <0.001 0.50 (0.05) <0.001 0.50 (0.05) <0.001
CD4 cell count, cells/mm3
      0–200 2.50 (0.09) 0.52 (0.10) <0.001d - -
      201–350 2.32 (0.07) 0.34 (0.09) <0.001 - -
      351–500 2.11 (0.06) 0.13 (0.07) 0.07 - -
      >500 1.98 (0.05) Ref - -
Hepatitis C status
      AB-negative 2.26 (0.05) Ref - -
      AB-positive RNA-negative 2.06 (0.12) −0.19 (0.13) 0.14 - -
      AB-positive RNA-positive 2.21 (0.07) −0.05 (0.09) 0.54 - -
Vaginal pH
      <4.5 2.13 (0.06) Ref - -
      4.5–5.4 2.18 (0.05) 0.05 (0.07) 0.51 - -
      5.5+ 2.34 (0.06) 0.21 (0.08) 0.01e - -
Squamous metaplasia 2.26 (0.05) 0.10 (0.06) 0.10 - -
Inflammation 2.36 (0.13) 0.16 (0.13) 0.22 - -
Inflammation-associated cellular changes 2.62 (0.17) 0.42 (0.17) 0.01 0.38 (0.17) 0.03
Cervical friability 2.56 (0.10) 0.37 (0.11) 0.001
Cervical ectopy 2.92 (0.21) 0.71 (0.21) 0.001 0.48 (0.18) 0.009
Cervical exudate 2.39 (0.07) 0.20 (0.07) 0.007 0.18 (0.06) 0.005
Cervical lesions 2.58 (0.14) 0.37 (0.15) 0.01 - -
Herpes simplex virus, type 1 2.27 (0.04) 0.21 (0.09) 0.02 - -
BV Gram stain score
      Normal (0–3) 2.12 (0.05) Ref - -
      Intermediate (4–6) 2.30 (0.07) 0.18 (0.08) 0.03 - -
      Consistent (7–10) 2.31 (0.06) 0.19 (0.08) 0.01f - -
Trichomonas vaginalis 2.52 (0.14) 0.33 (0.15) 0.02 0.31 (0.14) 0.03
inflammation Summary Variable (ISV) 2.29 (0.04) 0.29 (0.06) <0.001 0.16 (0.06)h 0.004h

NOTE. Boldface type indicates statistical significance. ART, antiretroviral therapy; BV, bacterial vaginosis; HAART, highly active antiretroviral therapy; Ref, reference; SE, standard error.

a

All factors were evaluated but only those with associations where P<0.10 are included in the table.

b

Linear regression with generalized estimating equations assuming an exhangeable correlation matrix and identity link is used to estimate β-coefficients, standard errors and P values.

c

The multivariate model includes all evaluated factors where P<0.10 in the univariate model (excluding summary inflammation) that remained P<0.10 in the multivariate model. Estimates are displayed for all variables that were included in the model. 857 observations are included in the multivariate model.

d

P-trend<0.001;

e

P-trend<0.01;

f

P-trend<0.05.

g

The multivariate model includes all factors in the table (except those inflammatory variables that are used to define the summary inflammation) where P<0.10 in the univariate model that remained P<0.10 in the multivariate model. Estimates are displayed for all variables that remained in the model. 957 observations are included in the multivariate model.

h

There was significant interaction between ISV and PVL in correlation with CV-VL with correlation coefficient 0.26. Using Generalized Estimating Equation the following equation was derived: Y= 0.7+0.33X1−0.79X2+0.26X1*X2 where Y=log10 CV-VL, X1=log10 HIV RNA, X2=ISV (P=0.006)