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. 2024 Aug 26;21:199. doi: 10.1186/s12985-024-02455-2

Table 4.

Factor associated with clustering and high linkages of newly diagnosed HIV-1 patients in Shaoxing from 2019 to 2023

Categories Cluster cases(%) (n = 398) Univariate analysis Multivariate analysis High-risk cases(%) (n = 157) Univariate analysis Multivariate analysis
OR (95% CI) P AOR (95% CI) P OR (95% CI) P AOR (95% CI) P
Age(years)
 < 50 199(50.0) 1.000 1.000 44(28.0) 1.000 1.000
 ≥ 50 199(50.0) 2.386(1.821–3.127) 0.000 1.868(1.329–2.625) 0.000 113(72.0) 4.629(2.991–7.164) 0.000 5.149(2.689–9.859) 0.000
Sex
Male 313(78.6) 1.000 1.000 123(78.3) 1.000
Female 85(21.4) 1.500(1.072–2.099) 0.018 1.282(0.867–1.896) 0.213 34(21.7) 1.030(0.631–1.680) 0.906
Ethnicity
Ethnic Han 398(96.7) 1.000 1.000 154(98.1) 1.000
Others 13(3.3) 0.442(0.232–0.841) 0.013 0.464(0.232–0.925) 0.029 3(1.9) 0.450(0.122–1.661) 0.231
Married status
Single 100(25.1) 1.000 1.000 25(15.9) 1.000 1.000
Married 237(59.5) 1.734(1.284–2.340) 0.000 1.083(0.750–1.563) 0.671 101(64.3) 2.228(1.324–3.750) 0.003 0.573(0.264–1.245) 0.160
Divorced/Widowed 58(14.6) 1.253(0.831–1.891) 0.282 0.803(0.507–1.273) 0.351 30(19.1) 3.214(1.619–6.381) 0.001 1.533(0.646–3.639) 0.333
Unknow 3(0.8) 1.880(0.373–9.486) 0.445 1.095(0.176–6.830) 0.922 1(0.6) 1.500(0.130–17.257) 0.745 0.076(0.004–1.288) 0.074
Education
Junior college or above 51(12.8) 1.000 1.000 11(7.0) 1.000 1.000
High or technical secondary school 82(20.6) 0.152(1.004–2.399) 0.048 1.439(0.914–2.265) 0.117 24(15.3) 1.505(0.663–3.415) 0.328 1.407(0.547–3.617) 0.478
Junior middle school 138(34.7) 1.712(1.149–2.552) 0.008 1.281(0.829–1.981) 0.265 57(36.3) 2.559(1.211–5.408) 0.014 1.510(0.611–3.733) 0.372
Primary school/illiterate 127(31.9) 2.145(1.422–3.238) 0.000 1.331(0.819–2.164) 0.249 65(41.4) 3.812(1.796–8.091) 0.000 1.528(0.604–3.866) 0.371
Household registered
Other provinces 32(8.0) 1.000 1.000 15(9.6) 1.000 0.231
Other cities in Zhejiang 15(3.8) 0.811(0.389–1.691) 0.576 0.702(0.325–1.517) 0.368 3(1.9) 0.283(0.067–1.200) 0.087
Shaoxing city 351(88.2) 1.618(1.034–2.529) 0.035 1.481(0.923–2.376) 0.103 139(88.5) 0.746(0.359–1.537) 0.423
Subtype
CRF07_BC 204(51.3) 1.000 1.000 101(64.3) 1.000 1.000
CRF01_AE 89(22.4) 0.578(0.422–0.791) 0.001 0.678(0.487–0.944) 0.021 18(11.5) 0.259(0.144–0.464) 0.000 0.303(0.148–0.622) 0.001
Other 105(26.4) 1.201(0.865–1.667) 0.274 1.185(0.829–1.683) 0.353 38(24.2) 0.578(0.357–0.938) 0.026 0.410(0.214–0.786) 0.007
Sexual contact
Heterosexual 270(67.8) 1.000 1.000 125(79.6) 1.000 1.000
Homosexual 121(30.4) 0.634(0.481–0.836) 0.001 1.053(0.744–1.489) 0.771 25(15.9) 0.302(0.183–0.498) 0.000 0.494(0.244–0.999) 0.050
Unknow 7(1.8) 0.724(0.277–1.893) 0.510 0.632(0.222–1.799) 0.390 7(4.5) /
PDR
No 313(78.6) 1.000 1.000 95(60.5) 1.000 1.000
Yes 85(21.4) 2.577(1.771–3.750) 0.000 2.219(1.491–3.301) 0.000 62(39.5) 6.186(3.620–10.570) 0.000 3.899(1.971–7.711) 0.000
Current place of residence
Yuecheng 127(31.9) 1.000 67(42.7) 1.000 1.000
Keqiao 113(28.4) 1.521(0.767–3.018) 0.230 48(30.6) 0.661(0.397–1.102) 0.112 1.232(0.654–2.320) 0.519
Zhuji 84(21.1) 1.169(0.589–2.317) 0.656 25(15.9) 0.379(0.212–0.680) 0.001 0.822(0.401–1.686) 0.593
Shangyu 22(5.5) 0.833(0.417–1.664) 0.604 3(1.9) 0.141(0.040–0.502) 0.002 0.469(0.112–1.967) 0.301
Shengzhou 36(9.0) 0.518(0.232–1.157) 0.109 13(8.3) 0.506(0.236–1.087) 0.081 1.528(0.599–3.900) 0.375
Xingchang 16(4.0) 1.101(0.509–2.382) 0.807 1(0.6) 0.060(0.008–0.466) 0.007 0.121(0.014–1.073) 0.058

Others genotypes were CRF08_BC, CRF85_BC,CRF55_01B,B,C,CRF87_cpx,CRF57_BC,02_AG、URF(B/C)、URF(CRF01_AE/_B) and URF(CRF01_AE/CRF07_BC); PDR: pretreatment drug resistance; OR: odds ratio;AOR: adjusted odds ratio; red data represent P ≤ 0.05