Analysis of the Influencing Factors of Immunological Nonresponders in Wuhan, China
Table 4
Univariate and multivariate linear regression analyses between Influencers and CD4+ cell count increase.
Variable
Univariate linear regression
Multivariate linear regression
β (95% CI)
β (95% CI)
Gender
−13.9 (−53.3, 25.6)
0.490
−6.6 (−50.0, 36.8)
0.764
BMI
−4.1 (−8.1, −0.0)
0.048
−4.2 (−8.1, −0.2)
0.038
Age at follow-up
0.1 (−0.7, 0.8)
0.875
−0.1 (−0.9, 0.8)
0.857
Duration from HIV diagnosis to HAART start (months)b
−29.7 (−45.8, −13.6)
0.000
−17.0 (−33.4, −0.5)
0.043
Duration of HAART (months)b
−13.3 (−27.9, 1.3)
0.074
4.9 (−10.9, 20.7)
0.542
Transmission route
2.5 (−15.3, 20.3)
0.783
11.8 (−7.0, 30.6)
0.216
WHO clinical stage
24.2 (10.2, 38.1)
0.001
10.6 (−4.1, 25.2)
0.156
Co-trimoxazolea
−76.0 (−100.6, −51.4)
0.000
−98.5 (−129.3, −67.7)
0.000
HAART optionsa
−7.6 (−20.9, 5.7)
0.259
9.2 (−6.0, 24.3)
0.234
HAART replacement
−15.1 (−41.2, 11.0)
0.255
−19.8 (−46.5, 7.0)
0.146
Crb
1.0 (0.2, 1.9)
0.013
0.9 (0.1, 1.7)
0.022
aInfluencers in baseline, bInfluencers in follow-up. The multivariate linear regression model included gender, BMI, age at follow-up, duration from HIV diagnosis to HAART start, duration of HAART, transmission route, WHO clinical stage, co-trimoxazole, HAART options, HAART replacement, cr.
