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Table 2 Association between various pHR and HR HPV genotypes and CIN 2/+. Odds Ratios (OR) from logistic regression

From: Human papilloma virus correlates of high grade cervical dysplasia in HIV-infected women in Mombasa, Kenya: a cross-sectional analysis

Variables adjusted OR for CIN 2+ (95%CI): model 1 P-value adjusted OR for CIN 2+ (95%CI): model 2 P-value
Age 30 and above 0.9 (0.3–2.3) 0.8   
pHR and HR co-infections prevalence 1.6 (0.6–4.5) 0.4   
CD4 count < 200 2.2 (0.8–5.8) 0.2   
HPV 16 1.3 (0.5–3.6) 0.6 1.2 (0.4–3.5) 0.7
HPV 18 1.2 (0.3–4.2) 0.8 1.1 (0.3–3.9) 0.9
HPV 31 5.0 (1.1–21.6) 0.03 4.9 (1.03–22.5) 0.05
HPV 33 3.0 (0.8–11.5) 0.1 2.9 (0.7–11.1) 0.1
HPV 35 1.6 (0.5–4.4) 0.5 1.4 (0.4–5.0) 0.6
HPV 39 2.6 (0.6–12.3) 0.2 2.4 (0.5–11.6) 0.3
HPV 51 1.7 (0.4–6.4) 0.4 1.6 (0.4–6.1) 0.5
HPV 52 1.6 (0.5–5.1) 0.5 1.3 (0.4–4.7) 0.6
HPV 53 0.6 (0.2–2.0) 0.4 0.5 (0.1–1.7) 0.3
HPV 56 1.6 (0.5–5.6) 0.4 1.4 (0.4–5.2) 0.6
HPV 58 1.0 (0.3–4.0) 1.0 1.0 (0.3–3.5) 1.0
HPV 66 0.2 (0.04–1.0) 0.06 0.2 (0.03–0.9) 0.04
HPV 68 0.5 (0.05–5.4) 0.4 0.2 (0.04–4.5) 0.5
  1. Model 1: adjusted for CD4 count, age
  2. Model 2: adjusted for CD4 count, age, and pHR and HR HPV coinfections
  3. P-value from Likelihood Ratio Test