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Table 1 Factors influencing malaria parasite prevalence and density in a paediatric HIV infected population in Cameroon

From: Malaria infection and anaemia in HIV-infected children in Mutengene, Southwest Cameroon: a cross sectional study

Characteristic/category

Number examined

Number positive (%)

Bivariate analysis

Multivariate analysis

GMPD (range)

Statistic

P-value

OR (95 % CI)

P-value$

OR (95 % CI)

P-value£

Age Group (years)

  < 5

66

16 (24.2)

1.67 (0.62–4.12)

0.455

1.02 (0.28–3.71)

0.976

633.0 (80–24000)

H = 3.406

0.18

 5–10

120

34 (28.3)

1.97 (0.84–4.67)

0.167

3.05 (1.11–8,42)

0.031*

234.0 (40–24000)

  

 11–15

48

8 (16.7)

Reference

   

463.3 (40–16000)

  

Sex

 Males

96

14 (14.6)

Reference

   

549.0 (40–2400)

U = 218.0

0.10

 Females

138

44 (31.9)

2.74 (1.40–5.36)

0.004*

3.08 (1.37–6.93)

0.007*

290.0 (40–24000)

  

Fever

 Yes

14

4 (28.6)

1.23 (0.37–4.08)

0.985

1.38 (0.24–7.88)

0.716

3098.4 (400–24000)

U = 34.00

0.02*

 No

220

54 (24.5)

Reference

   

287.3 (40–2400)

  

CD4 T cell (cells/μl of blood)

  < 200

28

8 (28.6)

1.20 (0.49–2.96)

0.873

1.80 (0.55–5.85)

0.33

82.4 (40–360)

H = 11.598

0.003*

 200–499

44

12 (27.3)

1.07 (0.37–3.06)

0.881

1.20 (0.46–3.13)

0.70

405.2 (80–16000)

  

  ≥ 500

144

36 (25.0)

Reference

   

491.3 (40–24000)

  

Clinical stages

 Stage 1

44

16 (36.4)

4.29 (1.28–14.4)

0,027*

10.38 (2.43–44.46)

0.0016*

191.2 (40–5040)

H = 14.36

0.002*

 Stage 2

62

10 (16.1)

1.44 (0.42–5.00)

0.782

1.46 (0.36–5.87)

0.59

512.2 (40–5400)

  

 Stage 3

82

24 (29.3)

3.10 (0.99–9.77)

0.077

2.62 (0.76–9.09)

0.13

498.4 (80–2400)

  

 Stage 4

34

4 (11.8)

Reference

   

40.0 (40–40)

  

Use of ART

 Yes

182

52 (28.6)

Reference

   

314.8 (40–24000)

U = 136.00

0.62

 No

52

6 (11.5)

3.07 (1.24–7.61)

0.019*

0.194 (0.06–0.62)

0.0001*

635.0 (40–16000)

  
  1. OR Odds Ratio, *Statistically significant, CI Confidence Interval, $:Estimated by Yates adjusted Chi-Square, £:Estimated by Multiple Logistic Regression