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Table 4 Factor associated with clustering and high linkages of newly diagnosed HIV-1 patients in Shaoxing from 2019 to 2023

From: Molecular transmission network analysis reveals the challenge of HIV-1 in ageing patients in China: elderly people play a crucial role in the transmission of subtypes and high pretreatment drug resistance in developed Eastern China, 2019–2023

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

  1. 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