| Literature DB >> 27761466 |
Weibin Cheng1, Weiming Tang2, Zhigang Han1, Thitikarn May Tangthanasup2, Fei Zhong1, Faju Qin1, Huifang Xu1.
Abstract
Background. The prevalence, trends, and the role of different HIV testing strategies in late presentation of HIV infection in China were unknown. Methods. Data of newly reported HIV cases in Guangzhou between 2008 and 2013 was analyzed to examine the prevalence, trends, and characteristics of late presentation of HIV infection by three types of HIV testing strategies. Results. Overall, 53.2% (1412/2653) and 27.3% (724/2653) met the criteria of late presentation and presentation with advanced HIV disease. The overall trend of late presentation of HIV infection within the study period was declining. Late presentation was 62.9% in 2008 and dropped to 43.3% in 2013 (P < 0.001); presentation with advanced HIV disease was 40.3% in 2008 and dropped to 15.2% in 2013 (P < 0.001). Of the three testing strategies, PITC presented higher odds of both late presentation [AOR (95% CI): PITC versus VCT: 1.37 (1.09, 1.73); PITC versus MHT: 3.09 (2.16, 4.42)] and presentation with advanced HIV disease [AOR (95% CI): PITC versus VCT: 1.65 (1.29, 2.11); PITC versus MHT: 13.14 (8.47, 20.39)]. Conclusions. Although the late presentation of HIV infection was declining, it was still high in Guangzhou. The worse situation among PITC cases urges the policy adjustment in medical settings to increase early HIV diagnosis.Entities:
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Year: 2016 PMID: 27761466 PMCID: PMC5059519 DOI: 10.1155/2016/1631878
Source DB: PubMed Journal: Biomed Res Int Impact factor: 3.411
Characteristics and proportion of late presentation of HIV infection among newly diagnosed positives by three types of HIV testing strategies between 2008 and 2013 in Guangzhou, China.
| Variable | Total ( | VCT ( | PITC ( | MHT ( |
|
|---|---|---|---|---|---|
|
| |||||
| Year | |||||
| 2008 | 313 (11.8) | 156 (12.2) | 101 (12.1) | 56 (10.3) | <0.001 |
| 2009 | 244 (9.2) | 79 (6.2) | 75 (9.0) | 90 (16.5) | |
| 2010 | 381 (14.4) | 95 (7.5) | 194 (23.3) | 92 (16.8) | |
| 2011 | 474 (17.8) | 206 (16.1) | 160 (19.2) | 108 (19.8) | |
| 2012 | 689 (26.0) | 382 (30.0) | 179 (21.5) | 128 (23.4) | |
| 2013 | 552 (20.8) | 357 (28.0) | 123 (14.9) | 72 (13.2) | |
| Age (years) | |||||
| <20 | 75 (2.8) | 41 (3.2) | 28 (3.4) | 6 (1.1) | <0.001 |
| 20~ | 860 (32.4) | 535 (42.0) | 175 (21.0) | 150 (27.5) | |
| 30~ | 981 (37.0) | 438 (34.4) | 279 (33.5) | 264 (48.4) | |
| 40~ | 490 (18.5) | 180 (14.1) | 207 (24.9) | 103 (18.9) | |
| ≥50 | 247 (9.3) | 81 (6.4) | 143 (17.2) | 23 (4.2) | |
| Sex | |||||
| Male | 2264 (85.3) | 1131 (88.7) | 612 (73.6) | 521 (95.4) | <0.001 |
| Female | 389 (14.7) | 144 (11.3) | 220 (26.4) | 25 (4.6) | |
| Marital status | |||||
| Single | 1355 (51.1) | 750 (58.8) | 228 (27.4) | 377 (69.0) | <0.001 |
| Married | 1015 (38.4) | 396 (31.1) | 501 (60.2) | 118 (21.6) | |
| Divorced or widowed | 244 (9.2) | 117 (9.2) | 91 (10.9) | 36 (6.6) | |
| Unknown | 39 (1.5) | 12 (0.9) | 12 (1.4) | 15 (2.7) | |
| Educational attainment | |||||
| Primary school/lower | 526 (19.8) | 113 (8.9) | 165 (19.8) | 248 (45.4) | <0.001 |
| Secondary school | 1534 (57.8) | 677 (53.1) | 562 (67.5) | 295 (54.0) | |
| College/above | 593 (22.4) | 485 (38.0) | 105 (12.6) | 3 (0.5) | |
| Route of HIV infection | |||||
| Male-to-male sexual contact | 917 (34.6) | 837 (65.6) | 77 (9.3) | 3 (0.5) | <0.001 |
| Injecting drug use | 654 (24.7) | 85 (6.7) | 99 (11.9) | 470 (86.1) | |
| Heterosexual contact | 967 (36.4) | 326 (25.6) | 581 (69.8) | 60 (11.0) | |
| Others | 115 (4.3) | 27 (2.1) | 75 (9.0) | 13 (2.4) | |
| Place of living | |||||
| Urban | 1384 (52.2) | 827 (64.9) | 316 (38.0) | 241 (44.1) | <0.001 |
| Rural | 480 (18.1) | 205 (17.1) | 133 (4.4) | 133 (24.2) | |
| Outside of Guangzhou | 789 (29.7) | 374 (45.0) | 172 (31.5) | 172 (31.5) | |
| Late presentation | |||||
| Yes | 1412 (53.2) | 659 (51.7) | 590 (70.9) | 206 (37.7) | <0.001 |
| No | 1241 (46.8) | 616 (48.3) | 242 (29.1) | 340 (62.3) | |
| Presentation with advanced HIV disease | |||||
| Yes | 724 (27.3) | 254 (19.9) | 416 (50.0) | 54 (9.9) | <0.001 |
| No | 1929 (72.7) | 1021 (80.1) | 416 (50.0) | 492 (90.1) | |
VCT: HIV voluntary counseling and testing; PITC: provider-initiated testing and counseling; MHT: mandatory HIV testing.
Changes in late presentation of HIV infection over time by three types of testing strategies in Guangzhou, 2008–2013.
| 2008 ( | 2009 ( | 2010 ( | 2011 ( | 2012 ( | 2013 ( |
| |
|---|---|---|---|---|---|---|---|
| Late presentation, | |||||||
| Total | 197 (62.9) | 121 (49.6) | 259 (68.0) | 260 (54.9) | 336 (48.8) | 239 (43.3) | <0.001 |
| Testing strategy | |||||||
| VCT | 102 (65.4) | 37 (46.8) | 55 (57.9) | 114 (55.3) | 172 (45.0) | 136 (38.1) | <0.001 |
| PITC | 78 (77.2) | 43 (57.3) | 161 (83.0) | 106 (66.3) | 120 (67.0) | 82 (66.7) | 0.052 |
| MHT | 17 (30.4) | 41 (45.6) | 43 (46.7) | 40 (37.0) | 44 (34.4) | 21 (29.2) | 0.131 |
|
| |||||||
| Presentation with advanced HIV disease, | |||||||
| Total | 126 (40.3) | 45 (18.4) | 166 (43.6) | 137 (28.9) | 166 (24.1) | 84 (15.2) | <0.001 |
| Testing strategy | |||||||
| VCT | 63 (40.4) | 11 (13.9) | 26 (27.4) | 49 (23.8) | 63 (16.5) | 42 (11.8) | <0.001 |
| PITC | 59 (58.4) | 24 (32.0) | 126 (64.9) | 77 (48.1) | 91 (50.8) | 39 (31.7) | 0.002 |
| MHT | 4 (7.1) | 10 (11.1) | 14 (15.2) | 11 (10.2) | 12 (9.4) | 3 (4.2) | 0.294 |
VCT: HIV voluntary counseling and testing; PITC: provider-initiated testing and counseling; MHT: mandatory HIV testing.
Comparison of different testing strategies on late presentation of HIV infection by multivariate logistic regression+.
| Late presentation |
| Presentation with advanced HIV disease |
| |
|---|---|---|---|---|
| VCT | Ref. | Ref. | ||
| PITC | 1.37 (1.09,1.73) | 0.008 | 1.65 (1.29, 2.11) | <0.001 |
| MHT | 0.32 (0.23, 0.46) | <0.001 | 0.13 (0.08, 0.20) | <0.001 |
|
| ||||
| PITC versus MHT | 3.09 (2.16, 4.42) | <0.001 | 13.14 (8.47, 20.39) | <0.001 |
AOR: adjusted odds ratio; CI: confidence intervals.
VCT: HIV voluntary counseling and testing; PITC: provider-initiated testing and counseling; MHT: mandatory HIV testing.
+Models were adjusted for year, age, sex, marital status, educational attainment, route of HIV infection, and place of living.