南方医科大学学报 ›› 2026, Vol. 46 ›› Issue (6): 1395-1406.doi: 10.12122/j.issn.1673-4254.2026.06.19
• • 上一篇
黄伟平1(
), 颜欢畅2(), 李顺铭3, 吴昊3, 蔡衍珊3, 韩志刚3(), 唐时幸1,4()
收稿日期:2025-12-19
出版日期:2026-06-20
发布日期:2026-06-24
通讯作者:
韩志刚,唐时幸
E-mail:1092064569@qq.com;yanhch7@mail.sysu.edu.cn;zhiganghan616@163.com;tamgshixing@smu.edu.cn
作者简介:黄伟平，在读硕士研究生，E-mail: 1092064569@qq.com基金资助:
Weiping HUANG1(), Huanchang YAN2(), Shunming LI3, Hao WU3, Yanshan CAI3, Zhigang HAN3(), Shixing TANG1,4()
Received:2025-12-19
Online:2026-06-20
Published:2026-06-24
Contact:
Zhigang HAN, Shixing TANG
E-mail:1092064569@qq.com;yanhch7@mail.sysu.edu.cn;zhiganghan616@163.com;tamgshixing@smu.edu.cn
Supported by:摘要：
目的 探讨广州市HIV-1基因型和人口流动性对HIV-1传播的影响，为精准防控提供科学依据。 方法 针对2008~2020年在广州新确诊的HIV-1感染者（PLWH），收集人口学信息，并根据感染者的户籍地和确诊后1年内住址变更信息，将其分为广州籍非流动（广州户籍、1年内住址无变化）、广州籍流动（广州户籍、1年内住址有变化）以及非广州籍非流动（非广州户籍、1年内住址无变化）和非广州籍流动（非广州户籍、1年内住址有变化）人口。同时收集PLWH HIV-1 pol基因序列并分型，采用HIV-TRACE方法构建分子传播网络，以传播网络的度值识别高风险传播者，并采用多分类Logistic回归模型识别感染者特征和HIV-1传播的危险因素。 结果 本研究共纳入6783名PLWH，广州籍非流动、广州籍流动、非广州籍非流动和非广州籍流动人口分别占24.0%、0.90%、56.4%和18.6%。主要流行的HIV-1基因型包括CRF07_BC（39.6%）、CRF01_AE（33.0%）、CRF55_01B（11.9%）、B亚型（4.7%）、CRF08_BC（3.0%）和CRF59_01B（2.3%）。分子传播网络分析发现，43.3%（2934/6783）的PLWH构成596个分子传播簇。与HIV-1 B亚型相比，CRF01_AE（aOR=1.384，95% CI：1.072~1.798）、CRF07_BC（aOR=2.462，95% CI：1.911~3.192）、CRF55_01B（aOR=3.209，95% CI：2.424~4.271）和CRF59_01B（aOR=2.149，95% CI：1.437~3.219）的PLWH更可能传播。人口流动性与HIV-1传播风险无统计学差异，广州籍居民更可能参与CRF08_BC传播（aOR=4.241，95% CI：1.494~12.790），而非广州籍的流动人口传播CRF01_AE（aOR=0.740，95% CI：0.576~0.946）和B亚型（aOR=0.429，95% CI：0.182~0.922）的风险较低。高风险传播者的特征包括广州籍居民（aOR=1.390，95% CI：1.141~1.695）、男性（aOR=4.449，95% CI：2.402~8.242）、男男性行为史（MSM，aOR=1.783，95% CI：1.414~2.248）、感染CRF07_BC（aOR=3.062，95% CI：1.963~4.777）或CRF55_01B（aOR=5.031，95% CI：3.159~8.014）者。 结论 尽管广州PLWH中广州籍居民仅占24.9%，但广州籍居民在HIV-1传播网络中表现较高的传播风险。此外，HIV-1基因型和MSM也是影响HIV-1传播的重要因素。分子传播网络分析可帮助识别HIV-1传播的关键人群，并揭示危险因素，是精准防控和控制HIV-1感染的重要工具。
黄伟平, 颜欢畅, 李顺铭, 吴昊, 蔡衍珊, 韩志刚, 唐时幸. HIV-1基因型和人口流动性对广州HIV-1传播的影响：基于分子传播网络分析[J]. 南方医科大学学报, 2026, 46(6): 1395-1406.
Weiping HUANG, Huanchang YAN, Shunming LI, Hao WU, Yanshan CAI, Zhigang HAN, Shixing TANG. Impact of HIV-1 genotypes and population mobility on HIV-1 transmission in Guangzhou: a molecular transmission network analysis[J]. Journal of Southern Medical University, 2026, 46(6): 1395-1406.
图1 纳入与排除的研究流程图
Fig.1 Study flowchart with the inclusion and exclusion criteria.
| Characteristics | Overall (n=6783) | CRF07_BC(n=2683) | CRF01_AE(n=2235) | CRF55_01B (n=805) | Subtype B (n=319) | CRF08_BC (n=201) | CRF59_01B (n=157) | Other genotypes (n=383) | χ2 | P |
|---|---|---|---|---|---|---|---|---|---|---|
| Mobility group | 65.93 | <0.001 | ||||||||
Non-Guangzhou residents, non-migrants | 3827 (56.4) | 1530 (57.0) | 1249 (55.9) | 481 (59.8) | 169 (53.0) | 80 (39.8) | 97 (61.8) | 221 (57.7) | ||
Non-Guangzhou residents, migrants | 1262 (18.6) | 461 (17.2) | 441 (19.7) | 140 (17.4) | 51 (16.0) | 69 (34.3) | 25 (15.9) | 75 (19.6) | ||
| Guangzhou residents | 1630 (24.0) | 658 (24.5) | 528 (23.6) | 183 (22.7) | 95 (29.8) | 48 (23.9) | 34 (21.7) | 84 (21.9) | ||
Guangzhou residents, migrants | 64 (0.9) | 34 (1.3) | 17 (0.8) | 1 (0.1) | 4 (1.3) | 4 (2.0) | 1 (0.6) | 3 (0.8) | ||
| Age group (year) | 231.25 | <0.001 | ||||||||
| 18-29 | 2987 (44.0) | 1249 (46.6) | 1023 (45.8) | 314 (39.0) | 142 (44.5) | 30 (14.9) | 59 (37.6) | 170 (44.4) | ||
| 30-39 | 1810 (26.7) | 711 (26.5) | 594 (26.6) | 231 (28.7) | 77 (24.1) | 48 (23.9) | 40 (25.5) | 109 (28.5) | ||
| 40-49 | 1124 (16.6) | 422 (15.7) | 332 (14.9) | 180 (22.4) | 38 (11.9) | 54 (26.9) | 36 (22.9) | 62 (16.2) | ||
| 50-59 | 539 (7.9) | 205 (7.6) | 163 (7.3) | 62 (7.7) | 29 (9.1) | 34 (16.9) | 16 (10.2) | 30 (7.8) | ||
| ≥60 | 323 (4.8) | 96 (3.6) | 123 (5.5) | 18 (2.2) | 33 (10.3) | 35 (17.4) | 6 (3.8) | 12 (3.1) | ||
| Gender | 137.51 | <0.001 | ||||||||
| Female | 547 (8.1) | 201 (7.5) | 211 (9.4) | 17 (2.1) | 22 (6.9) | 52 (25.9) | 6 (3.8) | 38 (9.9) | ||
| Male | 6236 (91.9) | 2482 (92.5) | 2024 (90.6) | 788 (97.9) | 297 (93.1) | 149 (74.1) | 151 (96.2) | 345 (90.1) | ||
| Marital status | 121.41 | <0.001 | ||||||||
| Unmarried | 4193 (61.8) | 1751 (65.3) | 1388 (62.1) | 462 (57.4) | 199 (62.4) | 58 (28.9) | 86 (54.8) | 249 (65.0) | ||
| Married or cohabiting | 2014 (29.7) | 713 (26.6) | 670 (30.0) | 262 (32.5) | 96 (30.1) | 115 (57.2) | 54 (34.4) | 104 (27.2) | ||
| Divorced or separated | 576 (8.5) | 219 (8.2) | 177 (7.9) | 81 (10.1) | 24 (7.5) | 28 (13.9) | 17 (10.8) | 30 (7.8) | ||
| Education level | 239.31 | <0.001 | ||||||||
| Primary school or less | 687 (10.1) | 233 (8.7) | 234 (10.5) | 63 (7.8) | 38 (11.9) | 73 (36.3) | 14 (8.9) | 32 (8.4) | ||
| Junior or senior high school | 3512 (51.8) | 1371 (51.1) | 1114 (49.8) | 463 (57.5) | 161 (50.5) | 123 (61.2) | 93 (59.2) | 187 (48.8) | ||
| College or above | 2584 (38.1) | 1079 (40.2) | 887 (39.7) | 279 (34.7) | 120 (37.6) | 5 (2.5) | 50 (31.8) | 164 (42.8) | ||
| Infection route | 546.32 | <0.001 | ||||||||
| HET | 2180 (32.1) | 718 (26.8) | 819 (36.6) | 195 (24.2) | 125 (39.2) | 151 (75.1) | 42 (26.8) | 130 (33.9) | ||
| IDU | 251 (3.7) | 145 (5.4) | 45 (2.0) | 4 (0.5) | 4 (1.3) | 42 (20.9) | 3 (1.9) | 8 (2.1) | ||
| MSM | 4352 (64.2) | 1820 (67.8) | 1371 (61.3) | 606 (75.3) | 190 (59.6) | 8 (4.0) | 112 (71.3) | 245 (64.0) | ||
| Diagnosis year | 73.68 | <0.001 | ||||||||
| 2008-2012 | 1035 (15.3) | 367 (13.7) | 406 (18.2) | 119 (14.8) | 72 (22.6) | 24 (11.9) | 9 (5.7) | 38 (9.9) | ||
| 2013-2016 | 2080 (30.7) | 806 (30.0) | 663 (29.7) | 286 (35.5) | 95 (29.8) | 49 (24.4) | 61 (38.9) | 120 (31.3) | ||
| 2017-2020 | 3668 (54.1) | 1510 (56.3) | 1166 (52.2) | 400 (49.7) | 152 (47.6) | 128 (63.7) | 87 (55.4) | 225 (58.7) | ||
| HIV status at diagnosis | 177.60 | <0.001 | ||||||||
| HIV infection | 4263 (62.8) | 1917 (71.4) | 1219 (54.5) | 465 (57.8) | 181 (56.7) | 115 (57.2) | 96 (61.1) | 270 (70.5) | ||
| AIDS | 2520 (37.2) | 766 (28.6) | 1016 (45.5) | 340 (42.2) | 138 (43.3) | 86 (42.8) | 61 (38.9) | 113 (29.5) |
表1 2008-2020年广州不同HIV-1基因型感染者的人口统计学、社会行为学和临床特征
Tab.1 Demographic, social-behavioral, and clinical characteristics of the PLWH in Guangzhou (2008-2020)
| Characteristics | Overall (n=6783) | CRF07_BC(n=2683) | CRF01_AE(n=2235) | CRF55_01B (n=805) | Subtype B (n=319) | CRF08_BC (n=201) | CRF59_01B (n=157) | Other genotypes (n=383) | χ2 | P |
|---|---|---|---|---|---|---|---|---|---|---|
| Mobility group | 65.93 | <0.001 | ||||||||
Non-Guangzhou residents, non-migrants | 3827 (56.4) | 1530 (57.0) | 1249 (55.9) | 481 (59.8) | 169 (53.0) | 80 (39.8) | 97 (61.8) | 221 (57.7) | ||
Non-Guangzhou residents, migrants | 1262 (18.6) | 461 (17.2) | 441 (19.7) | 140 (17.4) | 51 (16.0) | 69 (34.3) | 25 (15.9) | 75 (19.6) | ||
| Guangzhou residents | 1630 (24.0) | 658 (24.5) | 528 (23.6) | 183 (22.7) | 95 (29.8) | 48 (23.9) | 34 (21.7) | 84 (21.9) | ||
Guangzhou residents, migrants | 64 (0.9) | 34 (1.3) | 17 (0.8) | 1 (0.1) | 4 (1.3) | 4 (2.0) | 1 (0.6) | 3 (0.8) | ||
| Age group (year) | 231.25 | <0.001 | ||||||||
| 18-29 | 2987 (44.0) | 1249 (46.6) | 1023 (45.8) | 314 (39.0) | 142 (44.5) | 30 (14.9) | 59 (37.6) | 170 (44.4) | ||
| 30-39 | 1810 (26.7) | 711 (26.5) | 594 (26.6) | 231 (28.7) | 77 (24.1) | 48 (23.9) | 40 (25.5) | 109 (28.5) | ||
| 40-49 | 1124 (16.6) | 422 (15.7) | 332 (14.9) | 180 (22.4) | 38 (11.9) | 54 (26.9) | 36 (22.9) | 62 (16.2) | ||
| 50-59 | 539 (7.9) | 205 (7.6) | 163 (7.3) | 62 (7.7) | 29 (9.1) | 34 (16.9) | 16 (10.2) | 30 (7.8) | ||
| ≥60 | 323 (4.8) | 96 (3.6) | 123 (5.5) | 18 (2.2) | 33 (10.3) | 35 (17.4) | 6 (3.8) | 12 (3.1) | ||
| Gender | 137.51 | <0.001 | ||||||||
| Female | 547 (8.1) | 201 (7.5) | 211 (9.4) | 17 (2.1) | 22 (6.9) | 52 (25.9) | 6 (3.8) | 38 (9.9) | ||
| Male | 6236 (91.9) | 2482 (92.5) | 2024 (90.6) | 788 (97.9) | 297 (93.1) | 149 (74.1) | 151 (96.2) | 345 (90.1) | ||
| Marital status | 121.41 | <0.001 | ||||||||
| Unmarried | 4193 (61.8) | 1751 (65.3) | 1388 (62.1) | 462 (57.4) | 199 (62.4) | 58 (28.9) | 86 (54.8) | 249 (65.0) | ||
| Married or cohabiting | 2014 (29.7) | 713 (26.6) | 670 (30.0) | 262 (32.5) | 96 (30.1) | 115 (57.2) | 54 (34.4) | 104 (27.2) | ||
| Divorced or separated | 576 (8.5) | 219 (8.2) | 177 (7.9) | 81 (10.1) | 24 (7.5) | 28 (13.9) | 17 (10.8) | 30 (7.8) | ||
| Education level | 239.31 | <0.001 | ||||||||
| Primary school or less | 687 (10.1) | 233 (8.7) | 234 (10.5) | 63 (7.8) | 38 (11.9) | 73 (36.3) | 14 (8.9) | 32 (8.4) | ||
| Junior or senior high school | 3512 (51.8) | 1371 (51.1) | 1114 (49.8) | 463 (57.5) | 161 (50.5) | 123 (61.2) | 93 (59.2) | 187 (48.8) | ||
| College or above | 2584 (38.1) | 1079 (40.2) | 887 (39.7) | 279 (34.7) | 120 (37.6) | 5 (2.5) | 50 (31.8) | 164 (42.8) | ||
| Infection route | 546.32 | <0.001 | ||||||||
| HET | 2180 (32.1) | 718 (26.8) | 819 (36.6) | 195 (24.2) | 125 (39.2) | 151 (75.1) | 42 (26.8) | 130 (33.9) | ||
| IDU | 251 (3.7) | 145 (5.4) | 45 (2.0) | 4 (0.5) | 4 (1.3) | 42 (20.9) | 3 (1.9) | 8 (2.1) | ||
| MSM | 4352 (64.2) | 1820 (67.8) | 1371 (61.3) | 606 (75.3) | 190 (59.6) | 8 (4.0) | 112 (71.3) | 245 (64.0) | ||
| Diagnosis year | 73.68 | <0.001 | ||||||||
| 2008-2012 | 1035 (15.3) | 367 (13.7) | 406 (18.2) | 119 (14.8) | 72 (22.6) | 24 (11.9) | 9 (5.7) | 38 (9.9) | ||
| 2013-2016 | 2080 (30.7) | 806 (30.0) | 663 (29.7) | 286 (35.5) | 95 (29.8) | 49 (24.4) | 61 (38.9) | 120 (31.3) | ||
| 2017-2020 | 3668 (54.1) | 1510 (56.3) | 1166 (52.2) | 400 (49.7) | 152 (47.6) | 128 (63.7) | 87 (55.4) | 225 (58.7) | ||
| HIV status at diagnosis | 177.60 | <0.001 | ||||||||
| HIV infection | 4263 (62.8) | 1917 (71.4) | 1219 (54.5) | 465 (57.8) | 181 (56.7) | 115 (57.2) | 96 (61.1) | 270 (70.5) | ||
| AIDS | 2520 (37.2) | 766 (28.6) | 1016 (45.5) | 340 (42.2) | 138 (43.3) | 86 (42.8) | 61 (38.9) | 113 (29.5) |
图2 广州的HIV-1分子传播网络
Fig.2 HIV-1 molecular transmission network in Guangzhou. Each node represents a person living with HIV and is colored according to household registration and mobility status. Edges indicate pairwise genetic distances of ≤0.8%. Node shapes indicate the primary route of HIV-1 transmission: men who have sex with men (MSM, circles), heterosexual contact (HET, squares), and injection drug use (IDU, triangles).
图3 广州HIV-1分子传播网络构建的最佳基因距离阈值
Fig.3 The optimal genetic distance threshold for the HIV-1 molecular transmission network in Guangzhou. The optimal GD threshold was determined as 0.8%, which identified the maximum number of clusters in the molecular transmission network.
| Characteristics | Clustered | Unclustered | Adjusted OR (95% CI) | P |
|---|---|---|---|---|
| (n=2934) | (n=3849) | |||
| Mobility Group | ||||
| Non-Guangzhou residents, non-migrants | 1727 (58.9) | 2100 (54.6) | Ref | |
| Non-Guangzhou residents, migrants | 440 (15.0) | 822 (21.4) | 0.780 (0.677-0.897) | 0.001 |
| Guangzhou residents | 737 (25.1) | 893 (23.2) | 1.698 (0.985-2.925) | 0.056 |
| Guangzhou residents, migrants | 30 (1.0) | 34 (0.9) | 1.100 (0.967-1.251) | 0.147 |
| Age group (year) | ||||
| 18-29 | 1417 (48.3) | 1570 (40.8) | Ref | |
| 30-39 | 775 (26.4) | 1035 (26.9) | 0.926 (0.812-1.056) | 0.252 |
| 40-49 | 420 (14.3) | 704 (18.3) | 0.896 (0.744-1.077) | 0.243 |
| 50-59 | 178 (6.1) | 361 (9.4) | 0.930 (0.726-1.188) | 0.562 |
| ≥60 | 144 (4.9) | 179 (4.7) | 1.782 (1.315-2.414) | <0.001 |
| Gender | ||||
| Female | 107 (3.6) | 440 (11.4) | Ref | |
| Male | 2827 (96.4) | 3409 (88.6) | 2.277 (1.794-2.912) | <0.001 |
| Marital status | ||||
| Unmarried | 1966 (67.0) | 2227 (57.9) | Ref | |
| Married or cohabiting | 758 (25.8) | 1256 (32.6) | 0.883 (0.754-1.034) | 0.122 |
| Divorced or separated | 210 (7.2) | 366 (9.5) | 0.814 (0.652-1.013) | 0.066 |
| Education level | ||||
| Primary school or less | 229 (7.8) | 458 (11.9) | Ref | |
| Junior or senior high school | 1446 (49.3) | 2066 (53.7) | 1.010 (0.829-1.232) | 0.923 |
| College or above | 1259 (42.9) | 1325 (34.4) | 1.028 (0.824-1.282) | 0.809 |
| Infection route | ||||
| HET | 731 (24.9) | 1449 (37.6) | Ref | |
| IDU | 41 (1.4) | 210 (5.5) | 0.297 (0.204-0.424) | <0.001 |
| MSM | 2162 (73.7) | 2190 (56.9) | 1.399 (1.223-1.602) | <0.001 |
| Diagnosis year | ||||
| 2008-2012 | 487 (16.6) | 548 (14.2) | Ref | |
| 2013-2016 | 1007 (34.3) | 1073 (27.9) | 0.823 (0.700-0.966) | 0.018 |
| 2017-2020 | 1440 (49.1) | 2228 (57.9) | 0.608 (0.523-0.707) | <0.001 |
| HIV status at diagnosis | ||||
| HIV infection | 1940 (66.1) | 2323 (60.4) | Ref | |
| AIDS | 994 (33.9) | 1526 (39.6) | 0.920 (0.825-1.027) | 0.138 |
| HIV-1 genotype | ||||
| Subtype B | 99 (3.4) | 220 (5.7) | Ref | |
| CRF01_AE | 803 (27.5) | 1432 (37.1) | 1.384 (1.072-1.798) | 0.014 |
| CRF07_BC | 1319 (44.9) | 1364 (35.5) | 2.462 (1.911-3.192) | <0.001 |
| CRF55_01B | 464 (15.8) | 341 (8.8) | 3.209 (2.424-4.271) | <0.001 |
| CRF08_BC | 43 (1.5) | 158 (4.1) | 1.190 (0.768-1.827) | 0.430 |
| CRF59_01B | 73 (2.5) | 84 (2.2) | 2.149 (1.437-3.219) | <0.001 |
| Other genotypes | 133 (4.5) | 250 (6.5) | 1.347 (0.973-1.868) | 0.073 |
表2 广州HIV-1传播网络成簇相关因素分析
Tab.2 Analysis of factors associated with clustering in the transmission network in Guangzhou
| Characteristics | Clustered | Unclustered | Adjusted OR (95% CI) | P |
|---|---|---|---|---|
| (n=2934) | (n=3849) | |||
| Mobility Group | ||||
| Non-Guangzhou residents, non-migrants | 1727 (58.9) | 2100 (54.6) | Ref | |
| Non-Guangzhou residents, migrants | 440 (15.0) | 822 (21.4) | 0.780 (0.677-0.897) | 0.001 |
| Guangzhou residents | 737 (25.1) | 893 (23.2) | 1.698 (0.985-2.925) | 0.056 |
| Guangzhou residents, migrants | 30 (1.0) | 34 (0.9) | 1.100 (0.967-1.251) | 0.147 |
| Age group (year) | ||||
| 18-29 | 1417 (48.3) | 1570 (40.8) | Ref | |
| 30-39 | 775 (26.4) | 1035 (26.9) | 0.926 (0.812-1.056) | 0.252 |
| 40-49 | 420 (14.3) | 704 (18.3) | 0.896 (0.744-1.077) | 0.243 |
| 50-59 | 178 (6.1) | 361 (9.4) | 0.930 (0.726-1.188) | 0.562 |
| ≥60 | 144 (4.9) | 179 (4.7) | 1.782 (1.315-2.414) | <0.001 |
| Gender | ||||
| Female | 107 (3.6) | 440 (11.4) | Ref | |
| Male | 2827 (96.4) | 3409 (88.6) | 2.277 (1.794-2.912) | <0.001 |
| Marital status | ||||
| Unmarried | 1966 (67.0) | 2227 (57.9) | Ref | |
| Married or cohabiting | 758 (25.8) | 1256 (32.6) | 0.883 (0.754-1.034) | 0.122 |
| Divorced or separated | 210 (7.2) | 366 (9.5) | 0.814 (0.652-1.013) | 0.066 |
| Education level | ||||
| Primary school or less | 229 (7.8) | 458 (11.9) | Ref | |
| Junior or senior high school | 1446 (49.3) | 2066 (53.7) | 1.010 (0.829-1.232) | 0.923 |
| College or above | 1259 (42.9) | 1325 (34.4) | 1.028 (0.824-1.282) | 0.809 |
| Infection route | ||||
| HET | 731 (24.9) | 1449 (37.6) | Ref | |
| IDU | 41 (1.4) | 210 (5.5) | 0.297 (0.204-0.424) | <0.001 |
| MSM | 2162 (73.7) | 2190 (56.9) | 1.399 (1.223-1.602) | <0.001 |
| Diagnosis year | ||||
| 2008-2012 | 487 (16.6) | 548 (14.2) | Ref | |
| 2013-2016 | 1007 (34.3) | 1073 (27.9) | 0.823 (0.700-0.966) | 0.018 |
| 2017-2020 | 1440 (49.1) | 2228 (57.9) | 0.608 (0.523-0.707) | <0.001 |
| HIV status at diagnosis | ||||
| HIV infection | 1940 (66.1) | 2323 (60.4) | Ref | |
| AIDS | 994 (33.9) | 1526 (39.6) | 0.920 (0.825-1.027) | 0.138 |
| HIV-1 genotype | ||||
| Subtype B | 99 (3.4) | 220 (5.7) | Ref | |
| CRF01_AE | 803 (27.5) | 1432 (37.1) | 1.384 (1.072-1.798) | 0.014 |
| CRF07_BC | 1319 (44.9) | 1364 (35.5) | 2.462 (1.911-3.192) | <0.001 |
| CRF55_01B | 464 (15.8) | 341 (8.8) | 3.209 (2.424-4.271) | <0.001 |
| CRF08_BC | 43 (1.5) | 158 (4.1) | 1.190 (0.768-1.827) | 0.430 |
| CRF59_01B | 73 (2.5) | 84 (2.2) | 2.149 (1.437-3.219) | <0.001 |
| Other genotypes | 133 (4.5) | 250 (6.5) | 1.347 (0.973-1.868) | 0.073 |
图4 不同HIV-1基因型感染者成簇相关因素
Fig.4 Factors associated with clustering among the PLWH. The adjusted odds ratios (aOR) were estimated using multivariate logistic regression models with the outcome being either clustered in the network or not. The red dashed line indicates aOR=1.
| Characteristics | CRF01_AE | CRF07_BC | CRF55_01B | Subtype B | CRF08_BC | CRF59_01B | Other genotypes | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
AOR (95% CI) | P | AOR (95% CI) | P | AOR (95% CI) | P | AOR (95% CI) | P | AOR (95% CI) | P | AOR (95% CI) | P | AOR (95% CI) | P | |
| Mobility group | ||||||||||||||
Non-Guangzhou residents, non-migrants | Ref | Ref | - | - | Ref | Ref | - | - | - | - | ||||
Non-Guangzhou residents, migrants | 0.740 (0.576-0.946) | 0.017 | 0.829 (0.662-1.037) | 0.101 | - | - | 0.429 (0.182-0.922) | 0.039 | 0.344 (0.108-1.000) | 0.057 | - | - | - | - |
| Guangzhou residents | 1.187 (0.949-1.484) | 0.132 | 0.983 (0.801-1.207) | 0.872 | - | - | 1.412 (0.825-2.409) | 0.206 | 4.241 (1.494-12.790) | 0.008 | - | - | - | - |
| Age group (year) | ||||||||||||||
| 18-29 | Ref | Ref | - | - | - | - | Ref | - | - | Ref | ||||
| 30-39 | 0.801 (0.636-1.007) | 0.058 | 1.010 (0.822-1.241) | 0.928 | - | - | - | - | 1.439 (0.317-7.053) | 0.640 | - | - | 1.028 (0.589-1.793) | 0.921 |
| 40-49 | 0.741 (0.528-1.037) | 0.082 | 0.996 (0.741-1.339) | 0.977 | - | - | - | - | 0.930 (0.217-4.189) | 0.922 | - | - | 1.005 (0.408-2.445) | 0.991 |
| 50-59 | 0.680 (0.424-1.076) | 0.104 | 1.002 (0.672-1.491) | 0.991 | - | - | - | - | 3.161 (0.734-15.631) | 0.135 | - | - | 0.664 (0.182-2.169) | 0.512 |
| ≥60 | 1.457 (0.873-2.423) | 0.148 | 1.787 (1.052-3.038) | 0.032 | - | - | - | - | 4.533 (1.072-22.197) | 0.048 | - | - | 2.795 (0.561-12.835) | 0.191 |
| Gender | ||||||||||||||
| Female | Ref | Ref | - | - | - | - | - | - | - | Ref | ||||
| Male | 2.493 (1.645-3.881) | <0.001 | 2.160 (1.480-3.201) | <0.001 | - | - | - | - | - | - | - | 1.459 (0.504-4.887) | 0.507 | |
| Marital status | ||||||||||||||
| Unmarried | Ref | Ref | - | - | - | - | - | - | - | Ref | ||||
| Married or cohabiting | 0.969 (0.728-1.291) | 0.832 | 0.788 (0.614-1.012) | 0.062 | - | - | - | - | - | - | - | 0.469 (0.206-1.035) | 0.065 | |
| Divorced or separated | 0.628 (0.405-0.958) | 0.034 | 0.828 (0.583-1.175) | 0.292 | - | - | - | - | - | - | - | 0.513 (0.159-1.517) | 0.241 | |
| Education level | ||||||||||||||
| Primary school or lower | Ref | Ref | - | - | - | - | - | - | - | Ref | ||||
Junior or senior high school | 0.942 (0.657-1.360) | 0.745 | 1.433 (1.030-2.006) | 0.034 | - | - | - | - | - | - | - | 0.672 (0.256-1.866) | 0.428 | |
| College or above | 0.866 (0.581-1.297) | 0.481 | 1.461 (1.017-2.108) | 0.041 | - | - | - | - | - | - | - | 0.936 (0.334-2.744) | 0.901 | |
| Infection route | ||||||||||||||
| HET | Ref | Ref | - | - | - | - | Ref | - | - | Ref | ||||
| IDU | 0.414 (0.153-0.942) | 0.053 | 0.244 (0.144-0.399) | <0.001 | - | - | - | - | 0.150 (0.008-0.809) | 0.075 | - | - | 0.488 (0.024-3.381) | 0.532 |
| MSM | 1.542 (1.214-1.962) | <0.001 | 1.398 (1.128-1.732) | 0.002 | - | - | - | - | 4.873 (0.806-26.447) | 0.068 | - | - | 1.332 (0.717-2.510) | 0.368 |
| Diagnosis year | ||||||||||||||
| 2008-2012 | - | - | Ref | Ref | Ref | - | - | Ref | Ref | |||||
| 2013-2016 | - | - | 0.768 (0.585-1.006) | 0.056 | 0.237 (0.131-0.408) | <0.001 | 1.159 (0.564-2.421) | 0.690 | - | - | 0.360 (0.051-1.634) | 0.225 | 6.335 (2.015-28.125) | 0.005 |
| 2017-2020 | - | - | 0.484 (0.375-0.622) | <0.001 | 0.161 (0.090-0.272) | <0.001 | 2.102 (1.117-4.099) | 0.024 | - | - | 0.161 (0.023-0.714) | 0.028 | 4.486 (1.477-19.516) | 0.018 |
| HIV status at diagnosis | ||||||||||||||
| HIV infection | Ref | Ref | - | - | - | - | Ref | - | - | Ref | ||||
| AIDS | 0.867 (0.721-1.042) | 0.128 | 0.977 (0.812-1.176) | 0.806 | - | - | - | - | 0.182 (0.062-0.471) | 0.001 | - | - | 0.849 (0.498-1.433) | 0.543 |
表3 不同HIV-1基因型感染者成簇影响因素的多因素分析
Tab.3 Multivariable analysis of factors associated with clustering by HIV-1 genotypes among the PLWH in Guangzhou
| Characteristics | CRF01_AE | CRF07_BC | CRF55_01B | Subtype B | CRF08_BC | CRF59_01B | Other genotypes | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
AOR (95% CI) | P | AOR (95% CI) | P | AOR (95% CI) | P | AOR (95% CI) | P | AOR (95% CI) | P | AOR (95% CI) | P | AOR (95% CI) | P | |
| Mobility group | ||||||||||||||
Non-Guangzhou residents, non-migrants | Ref | Ref | - | - | Ref | Ref | - | - | - | - | ||||
Non-Guangzhou residents, migrants | 0.740 (0.576-0.946) | 0.017 | 0.829 (0.662-1.037) | 0.101 | - | - | 0.429 (0.182-0.922) | 0.039 | 0.344 (0.108-1.000) | 0.057 | - | - | - | - |
| Guangzhou residents | 1.187 (0.949-1.484) | 0.132 | 0.983 (0.801-1.207) | 0.872 | - | - | 1.412 (0.825-2.409) | 0.206 | 4.241 (1.494-12.790) | 0.008 | - | - | - | - |
| Age group (year) | ||||||||||||||
| 18-29 | Ref | Ref | - | - | - | - | Ref | - | - | Ref | ||||
| 30-39 | 0.801 (0.636-1.007) | 0.058 | 1.010 (0.822-1.241) | 0.928 | - | - | - | - | 1.439 (0.317-7.053) | 0.640 | - | - | 1.028 (0.589-1.793) | 0.921 |
| 40-49 | 0.741 (0.528-1.037) | 0.082 | 0.996 (0.741-1.339) | 0.977 | - | - | - | - | 0.930 (0.217-4.189) | 0.922 | - | - | 1.005 (0.408-2.445) | 0.991 |
| 50-59 | 0.680 (0.424-1.076) | 0.104 | 1.002 (0.672-1.491) | 0.991 | - | - | - | - | 3.161 (0.734-15.631) | 0.135 | - | - | 0.664 (0.182-2.169) | 0.512 |
| ≥60 | 1.457 (0.873-2.423) | 0.148 | 1.787 (1.052-3.038) | 0.032 | - | - | - | - | 4.533 (1.072-22.197) | 0.048 | - | - | 2.795 (0.561-12.835) | 0.191 |
| Gender | ||||||||||||||
| Female | Ref | Ref | - | - | - | - | - | - | - | Ref | ||||
| Male | 2.493 (1.645-3.881) | <0.001 | 2.160 (1.480-3.201) | <0.001 | - | - | - | - | - | - | - | 1.459 (0.504-4.887) | 0.507 | |
| Marital status | ||||||||||||||
| Unmarried | Ref | Ref | - | - | - | - | - | - | - | Ref | ||||
| Married or cohabiting | 0.969 (0.728-1.291) | 0.832 | 0.788 (0.614-1.012) | 0.062 | - | - | - | - | - | - | - | 0.469 (0.206-1.035) | 0.065 | |
| Divorced or separated | 0.628 (0.405-0.958) | 0.034 | 0.828 (0.583-1.175) | 0.292 | - | - | - | - | - | - | - | 0.513 (0.159-1.517) | 0.241 | |
| Education level | ||||||||||||||
| Primary school or lower | Ref | Ref | - | - | - | - | - | - | - | Ref | ||||
Junior or senior high school | 0.942 (0.657-1.360) | 0.745 | 1.433 (1.030-2.006) | 0.034 | - | - | - | - | - | - | - | 0.672 (0.256-1.866) | 0.428 | |
| College or above | 0.866 (0.581-1.297) | 0.481 | 1.461 (1.017-2.108) | 0.041 | - | - | - | - | - | - | - | 0.936 (0.334-2.744) | 0.901 | |
| Infection route | ||||||||||||||
| HET | Ref | Ref | - | - | - | - | Ref | - | - | Ref | ||||
| IDU | 0.414 (0.153-0.942) | 0.053 | 0.244 (0.144-0.399) | <0.001 | - | - | - | - | 0.150 (0.008-0.809) | 0.075 | - | - | 0.488 (0.024-3.381) | 0.532 |
| MSM | 1.542 (1.214-1.962) | <0.001 | 1.398 (1.128-1.732) | 0.002 | - | - | - | - | 4.873 (0.806-26.447) | 0.068 | - | - | 1.332 (0.717-2.510) | 0.368 |
| Diagnosis year | ||||||||||||||
| 2008-2012 | - | - | Ref | Ref | Ref | - | - | Ref | Ref | |||||
| 2013-2016 | - | - | 0.768 (0.585-1.006) | 0.056 | 0.237 (0.131-0.408) | <0.001 | 1.159 (0.564-2.421) | 0.690 | - | - | 0.360 (0.051-1.634) | 0.225 | 6.335 (2.015-28.125) | 0.005 |
| 2017-2020 | - | - | 0.484 (0.375-0.622) | <0.001 | 0.161 (0.090-0.272) | <0.001 | 2.102 (1.117-4.099) | 0.024 | - | - | 0.161 (0.023-0.714) | 0.028 | 4.486 (1.477-19.516) | 0.018 |
| HIV status at diagnosis | ||||||||||||||
| HIV infection | Ref | Ref | - | - | - | - | Ref | - | - | Ref | ||||
| AIDS | 0.867 (0.721-1.042) | 0.128 | 0.977 (0.812-1.176) | 0.806 | - | - | - | - | 0.182 (0.062-0.471) | 0.001 | - | - | 0.849 (0.498-1.433) | 0.543 |
| Characteristics | Low degree (n=4878) | Medium degree (n=1131) | High degree (n=774) | χ2 | P |
|---|---|---|---|---|---|
| Mobility group | 41.719 | <0.001 | |||
| Non-Guangzhou residents, non-migrants | 2708 (55.5) | 669 (59.2) | 450 (58.1) | ||
| Non-Guangzhou residents, migrants | 995 (20.4) | 165 (14.6) | 102 (13.2) | ||
| Guangzhou residents | 1127 (23.1) | 290 (25.6) | 213 (27.5) | ||
| Guangzhou residents, migrants | 48 (1.0) | 7 (0.6) | 9 (1.2) | ||
| Age group (year) | 62.66 | <0.001 | |||
| 18-29 | 2045 (41.9) | 530 (46.9) | 412 (53.2) | ||
| 30-39 | 1286 (26.4) | 323 (28.6) | 201 (26.0) | ||
| 40-49 | 870 (17.8) | 157 (13.9) | 97 (12.5) | ||
| 50-59 | 428 (8.8) | 75 (6.6) | 36 (4.7) | ||
| ≥60 | 249 (5.1) | 46 (4.1) | 28 (3.6) | ||
| Gender | 125.519 | <0.001 | |||
| Female | 506 (10.4) | 29 (2.6) | 12 (1.6) | ||
| Male | 4372 (89.6) | 1102 (97.4) | 762 (98.4) | ||
| Marital status | 56.437 | <0.001 | |||
| Unmarried | 2886 (59.2) | 772 (68.3) | 535 (69.1) | ||
| Married or cohabiting | 1545 (31.7) | 293 (25.9) | 176 (22.7) | ||
| Divorced or separated | 447 (9.2) | 66 (5.8) | 63 (8.1) | ||
| Education level | 45.599 | <0.001 | |||
| Primary school or lower | 549 (11.3) | 84 (7.4) | 54 (7.0) | ||
| Junior or senior high school | 2574 (52.8) | 555 (49.1) | 383 (49.5) | ||
| College or above | 1755 (36.0) | 492 (43.5) | 337 (43.5) | ||
| Infection route | 229.675 | <0.001 | |||
| HET | 1776 (36.4) | 264 (23.3) | 140 (18.1) | ||
| IDU | 230 (4.7) | 16 (1.4) | 5 (0.6) | ||
| MSM | 2872 (58.9) | 851 (75.2) | 629 (81.3) | ||
| Diagnosis year | 166.88 | <0.001 | |||
| 2008-2012 | 670 (13.7) | 158 (14.0) | 207 (26.7) | ||
| 2013-2016 | 1395 (28.6) | 389 (34.4) | 296 (38.2) | ||
| 2017-2020 | 2813 (57.7) | 584 (51.6) | 271 (35.0) | ||
| HIV status at diagnosis | 14.673 | 0.001 | |||
| HIV infection | 3003 (61.6) | 764 (67.6) | 496 (64.1) | ||
| AIDS | 1875 (38.4) | 367 (32.4) | 278 (35.9) | ||
| HIV-1 genotype | 285.255 | <0.001 | |||
| Subtype B | 267 (5.5) | 28 (2.5) | 24 (3.1) | ||
| CRF01_AE | 1753 (35.9) | 316 (27.9) | 166 (21.4) | ||
| CRF07_BC | 1791 (36.7) | 515 (45.5) | 377 (48.7) | ||
| CRF55_01B | 466 (9.6) | 158 (14.0) | 181 (23.4) | ||
| CRF08_BC | 175 (3.6) | 25 (2.2) | 1 (0.1) | ||
| CRF59_01B | 115 (2.4) | 27 (2.4) | 15 (1.9) | ||
| Other genotypes | 311 (6.4) | 62 (5.5) | 10 (1.3) |
表4 HIV-1传播网络节点度值组的特征分布
Tab.4 Characteristics of the groups with low (<2), medium (2-6) and high (≥6) degrees in HIV-1 transmission network
| Characteristics | Low degree (n=4878) | Medium degree (n=1131) | High degree (n=774) | χ2 | P |
|---|---|---|---|---|---|
| Mobility group | 41.719 | <0.001 | |||
| Non-Guangzhou residents, non-migrants | 2708 (55.5) | 669 (59.2) | 450 (58.1) | ||
| Non-Guangzhou residents, migrants | 995 (20.4) | 165 (14.6) | 102 (13.2) | ||
| Guangzhou residents | 1127 (23.1) | 290 (25.6) | 213 (27.5) | ||
| Guangzhou residents, migrants | 48 (1.0) | 7 (0.6) | 9 (1.2) | ||
| Age group (year) | 62.66 | <0.001 | |||
| 18-29 | 2045 (41.9) | 530 (46.9) | 412 (53.2) | ||
| 30-39 | 1286 (26.4) | 323 (28.6) | 201 (26.0) | ||
| 40-49 | 870 (17.8) | 157 (13.9) | 97 (12.5) | ||
| 50-59 | 428 (8.8) | 75 (6.6) | 36 (4.7) | ||
| ≥60 | 249 (5.1) | 46 (4.1) | 28 (3.6) | ||
| Gender | 125.519 | <0.001 | |||
| Female | 506 (10.4) | 29 (2.6) | 12 (1.6) | ||
| Male | 4372 (89.6) | 1102 (97.4) | 762 (98.4) | ||
| Marital status | 56.437 | <0.001 | |||
| Unmarried | 2886 (59.2) | 772 (68.3) | 535 (69.1) | ||
| Married or cohabiting | 1545 (31.7) | 293 (25.9) | 176 (22.7) | ||
| Divorced or separated | 447 (9.2) | 66 (5.8) | 63 (8.1) | ||
| Education level | 45.599 | <0.001 | |||
| Primary school or lower | 549 (11.3) | 84 (7.4) | 54 (7.0) | ||
| Junior or senior high school | 2574 (52.8) | 555 (49.1) | 383 (49.5) | ||
| College or above | 1755 (36.0) | 492 (43.5) | 337 (43.5) | ||
| Infection route | 229.675 | <0.001 | |||
| HET | 1776 (36.4) | 264 (23.3) | 140 (18.1) | ||
| IDU | 230 (4.7) | 16 (1.4) | 5 (0.6) | ||
| MSM | 2872 (58.9) | 851 (75.2) | 629 (81.3) | ||
| Diagnosis year | 166.88 | <0.001 | |||
| 2008-2012 | 670 (13.7) | 158 (14.0) | 207 (26.7) | ||
| 2013-2016 | 1395 (28.6) | 389 (34.4) | 296 (38.2) | ||
| 2017-2020 | 2813 (57.7) | 584 (51.6) | 271 (35.0) | ||
| HIV status at diagnosis | 14.673 | 0.001 | |||
| HIV infection | 3003 (61.6) | 764 (67.6) | 496 (64.1) | ||
| AIDS | 1875 (38.4) | 367 (32.4) | 278 (35.9) | ||
| HIV-1 genotype | 285.255 | <0.001 | |||
| Subtype B | 267 (5.5) | 28 (2.5) | 24 (3.1) | ||
| CRF01_AE | 1753 (35.9) | 316 (27.9) | 166 (21.4) | ||
| CRF07_BC | 1791 (36.7) | 515 (45.5) | 377 (48.7) | ||
| CRF55_01B | 466 (9.6) | 158 (14.0) | 181 (23.4) | ||
| CRF08_BC | 175 (3.6) | 25 (2.2) | 1 (0.1) | ||
| CRF59_01B | 115 (2.4) | 27 (2.4) | 15 (1.9) | ||
| Other genotypes | 311 (6.4) | 62 (5.5) | 10 (1.3) |
| Characteristics | Medium degree | High degree | ||
|---|---|---|---|---|
| Adjusted OR (95% CI) | P | Adjusted OR (95% CI) | P | |
| Mobility group | ||||
| Non-Guangzhou residents, non-migrants | Ref | Ref | ||
| Non-Guangzhou residents, migrants | 0.784 (0.646-0.950) | 0.013 | 0.760 (0.598-0.967) | 0.026 |
| Guangzhou residents | 1.181 (1.000-1.395) | 0.050 | 1.390 (1.141-1.695) | 0.001 |
| Guangzhou residents, migrants | 0.865 (0.380-1.967) | 0.729 | 1.947 (0.884-4.289) | 0.098 |
| Age group (year) | ||||
| 18-29 | Ref | Ref | ||
| 30-39 | 1.087 (0.918-1.287) | 0.334 | 0.760 (0.617-0.937) | 0.010 |
| 40-49 | 0.933 (0.729-1.195) | 0.583 | 0.605 (0.445-0.824) | 0.001 |
| 50-59 | 1.113 (0.802-1.545) | 0.523 | 0.623 (0.402-0.964) | 0.033 |
| ≥60 | 1.282 (0.843-1.948) | 0.245 | 0.985 (0.582-1.669) | 0.957 |
| Gender | ||||
| Female | Ref | Ref | ||
| Male | 3.073 (2.048-4.610) | <0.001 | 4.449 (2.402-8.242) | <0.001 |
| Marital status | ||||
| Unmarried | Ref | Ref | ||
| Married or cohabiting | 0.908 (0.737-1.118) | 0.362 | 0.954 (0.737-1.235) | 0.719 |
| Divorced or separated | 0.686 (0.502-0.937) | 0.018 | 1.239 (0.875-1.755) | 0.226 |
| Education level | ||||
| Primary school or less | Ref | Ref | ||
| Junior or senior high school | 0.969 (0.737-1.276) | 0.825 | 0.778 (0.552-1.097) | 0.153 |
| College or above | 0.939 (0.695-1.270) | 0.684 | 0.695 (0.479-1.007) | 0.055 |
| Infection route | ||||
| HET | Ref | Ref | ||
| IDU | 0.347 (0.202-0.598) | <0.001 | 0.161 (0.064-0.408) | <0.001 |
| MSM | 1.482 (1.234-1.779) | <0.001 | 1.783 (1.414-2.248) | <0.001 |
| Diagnosis year | ||||
| 2008-2012 | Ref | Ref | ||
| 2013-2016 | 0.904 (0.728-1.122) | 0.360 | 0.516 (0.415-0.642) | <0.001 |
| 2017-2020 | 0.731 (0.595-0.898) | 0.003 | 0.261 (0.210-0.325) | <0.001 |
| HIV status at diagnosis | ||||
| HIV infection | Ref | Ref | ||
| AIDS | 0.914 (0.790-1.058) | 0.230 | 1.049 (0.881-1.248) | 0.593 |
| HIV-1 genotype | ||||
| Subtype B | Ref | Ref | ||
| CRF01_AE | 1.855 (1.230-2.797) | 0.003 | 1.252 (0.793-1.977) | 0.335 |
| CRF07_BC | 2.974 (1.981-4.466) | <0.001 | 3.062 (1.963-4.777) | <0.001 |
| CRF55_01B | 3.248 (2.103-5.015) | <0.001 | 5.031 (3.159-8.014) | <0.001 |
| CRF08_BC | 2.731 (1.508-4.946) | <0.001 | 0.195 (0.026-1.473) | 0.113 |
| CRF59_01B | 2.318 (1.299-4.136) | 0.004 | 1.903 (0.947-3.820) | 0.071 |
| Other genotypes | 2.037 (1.259-3.296) | 0.004 | 0.476 (0.221-1.024) | 0.058 |
表5 HIV-1分子传播网络的度值相关因素
Tab.5 Factors associated with high degree in HIV-1 molecular transmission network using multivariate logistic regression models
| Characteristics | Medium degree | High degree | ||
|---|---|---|---|---|
| Adjusted OR (95% CI) | P | Adjusted OR (95% CI) | P | |
| Mobility group | ||||
| Non-Guangzhou residents, non-migrants | Ref | Ref | ||
| Non-Guangzhou residents, migrants | 0.784 (0.646-0.950) | 0.013 | 0.760 (0.598-0.967) | 0.026 |
| Guangzhou residents | 1.181 (1.000-1.395) | 0.050 | 1.390 (1.141-1.695) | 0.001 |
| Guangzhou residents, migrants | 0.865 (0.380-1.967) | 0.729 | 1.947 (0.884-4.289) | 0.098 |
| Age group (year) | ||||
| 18-29 | Ref | Ref | ||
| 30-39 | 1.087 (0.918-1.287) | 0.334 | 0.760 (0.617-0.937) | 0.010 |
| 40-49 | 0.933 (0.729-1.195) | 0.583 | 0.605 (0.445-0.824) | 0.001 |
| 50-59 | 1.113 (0.802-1.545) | 0.523 | 0.623 (0.402-0.964) | 0.033 |
| ≥60 | 1.282 (0.843-1.948) | 0.245 | 0.985 (0.582-1.669) | 0.957 |
| Gender | ||||
| Female | Ref | Ref | ||
| Male | 3.073 (2.048-4.610) | <0.001 | 4.449 (2.402-8.242) | <0.001 |
| Marital status | ||||
| Unmarried | Ref | Ref | ||
| Married or cohabiting | 0.908 (0.737-1.118) | 0.362 | 0.954 (0.737-1.235) | 0.719 |
| Divorced or separated | 0.686 (0.502-0.937) | 0.018 | 1.239 (0.875-1.755) | 0.226 |
| Education level | ||||
| Primary school or less | Ref | Ref | ||
| Junior or senior high school | 0.969 (0.737-1.276) | 0.825 | 0.778 (0.552-1.097) | 0.153 |
| College or above | 0.939 (0.695-1.270) | 0.684 | 0.695 (0.479-1.007) | 0.055 |
| Infection route | ||||
| HET | Ref | Ref | ||
| IDU | 0.347 (0.202-0.598) | <0.001 | 0.161 (0.064-0.408) | <0.001 |
| MSM | 1.482 (1.234-1.779) | <0.001 | 1.783 (1.414-2.248) | <0.001 |
| Diagnosis year | ||||
| 2008-2012 | Ref | Ref | ||
| 2013-2016 | 0.904 (0.728-1.122) | 0.360 | 0.516 (0.415-0.642) | <0.001 |
| 2017-2020 | 0.731 (0.595-0.898) | 0.003 | 0.261 (0.210-0.325) | <0.001 |
| HIV status at diagnosis | ||||
| HIV infection | Ref | Ref | ||
| AIDS | 0.914 (0.790-1.058) | 0.230 | 1.049 (0.881-1.248) | 0.593 |
| HIV-1 genotype | ||||
| Subtype B | Ref | Ref | ||
| CRF01_AE | 1.855 (1.230-2.797) | 0.003 | 1.252 (0.793-1.977) | 0.335 |
| CRF07_BC | 2.974 (1.981-4.466) | <0.001 | 3.062 (1.963-4.777) | <0.001 |
| CRF55_01B | 3.248 (2.103-5.015) | <0.001 | 5.031 (3.159-8.014) | <0.001 |
| CRF08_BC | 2.731 (1.508-4.946) | <0.001 | 0.195 (0.026-1.473) | 0.113 |
| CRF59_01B | 2.318 (1.299-4.136) | 0.004 | 1.903 (0.947-3.820) | 0.071 |
| Other genotypes | 2.037 (1.259-3.296) | 0.004 | 0.476 (0.221-1.024) | 0.058 |
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