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. 2018 May 1;8:6799. doi: 10.1038/s41598-018-25004-8

Table 1.

Population Characteristics.

Study Sample 1999–2016 Non-clustering Clustering within the transmission network Odds Ratio (95% confidence interval) P value if <0.05
N (%) 2,774 (100%) 2,179 (78.6%) 595 (21.4%)
Age (years)
Median (IQR) 40 (33–48) 40 (34–49) 36 (30–45) <0.001
Sex
Male 80.1% (n = 2,222) 77.1% (n = 1,681) 90.9% (n = 541) 1
Female 19.6% (n = 545) 22.5% (n = 492) 8.9% (n = 53) 0.33 (0.25–0.45) <0.001
Other/NA 0.3% (n = 7) 0.2% (n = 6) 0.2% (n = 1) 0.51 (0.06–4.31)
Region of Origin
Germany 69.5% (n = 1,928) 66% (n = 1,439) 82.2% (n = 489) 1
Eastern Europe 5.6% (n = 154) 6.2% (n = 136) 3% (n = 18) 0.39 (0.24–0.64) <0.001
Western Europe 3% (n = 82) 3.1% (n = 68) 2.4% (n = 14) 0.61 (0.34–1.09)
Africa 13.2% (n = 366) 16.1% (n = 351) 2.5% (n = 15) 0.13 (0.08–0.21) <0.001
South-East Asia 2.2% (n = 61) 2.2% (n = 47) 2.4% (n = 14) 0.87 (0.48–1.6)
Middle-East 2.8% (n = 79) 2.5% (n = 54) 4.2% (n = 25) 1.36 (0.84–2.21)
North America 0.3% (n = 7) 0.3% (n = 7) 0% 0.20 (0.01–3.44) <0.001
Central-South America 1.4% (n = 39) 1.4% (n = 30) 1.5% (n = 9) 0.88 (0.41–1.87)
NA 2.1% (n = 58) 2.2% (n = 47) 1.8% (n = 11) 0.69 (0.35–1.34)
Risk Factor
MSM 52.1% (n = 1,448) 48.3% (n = 1,053) 66.3% (n = 395) 1
HTS 22.4% (n = 622) 23.3% (n = 509) 18.9% (n = 113) 0.59 (0.47–0.90) <0.001
IDU 4.9% (n = 137) 5% (n = 111) 4.3% (n = 26) 0.62 (0.40–0.97) <0.001
Endemic (i.e. Origin from Country with HIV prevalence >1%) 10.5% (n = 292) 13% (n = 285) 1.1% (n = 7) 0.06 (0.03–0.14) <0.001
Others/unknown 9.8% (n = 275) 10.1% (n = 221) 9.1% (n = 54) 0.65 (0.47–0.90) 0.008
HIV Subtype
B 73.6% (n = 2,042) 69.2% (n = 1,510) 89.4% (n = 532) 1
Non-B 26.3% (n = 732) 30.7% (n = 669) 10.5% (n = 63) 0.27 (0.20–0.90) <0.001
Sampling Date
Median (IQR) 2010 (2007–2013) 2010 (2006–2013) 2011 (2009–2014) <0.001
Cohort
Bonn 9.3% (n = 259) 7.1% (n = 155) 17.4% (n = 104) 1
Cologne 54.3% (n = 1,507) 52.7% (n = 1,150) 60% (n = 357) 0.46 (0.35–0.61) <0.001
Hannover 12% (n = 334) 13% (n = 284) 8.4% (n = 50) 0.26 (0.18–0.39) <0.001
Munich LMU 23.1% (n = 641) 25.9% (n = 566) 12.6% (n = 75) 0.20 (0.14–0.28) <0.001
Munich TUM 1.1% (n = 33) 1.1% (n = 24) 1.5% (n = 9) 0.67 (0.29–1.53)

Baseline Demographic, Risk and Viral Characteristics in Clustering versus non-Clustering participants.

Abbreviations: HTS, heterosexual sex; IDU, injection drug use; MSM, men who have sex with men; NA, not available.