| Literature DB >> 31712340 |
Cheng Wang1,2, Weiming Tang2,3, Peizhen Zhao1,2, Joseph Tucker3, Lei Chen1,2, M Kumi Smith4, Ngai Sze Wong5, Willa Dong6, Bin Yang1,2, Heping Zheng7,2.
Abstract
OBJECTIVES: An increased trend in the number of reported gonorrhoea cases has been observed between 2014 and 2017 in China. This study aims to describe the reported epidemic of gonorrhoea and potential driving forces in Guangdong Province, China.Entities:
Keywords: driving forces; gonorrhea; surveillance
Year: 2019 PMID: 31712340 PMCID: PMC6858213 DOI: 10.1136/bmjopen-2019-031578
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1Reported incidence of gonorrhoea from 2004 to 2017 based on the sexually transmitted infections case report system.
Screening amount and positive gonorrhoea cases detected in the 40 hospitals, 10 cities from 2014 to 2017, a retrospective study
| Test method | 2014 | 2015 | 2016 | 2017 | χ2 (p) |
| Smear* | |||||
| No. of tests (%) | 88 879 (57.1) | 76 202 (44.4) | 74 784 (40.8) | 97 774 (46.5) | 3607.0 (<0.001) |
| No. of positive cases (%) | 2389 (48.0) | 2546 (46.1) | 3185 (42.4) | 5005 (44.6) | 824.2 (<0.001) |
| Culture* | |||||
| No. of tests (%) | 42 172 (27.1) | 67 137 (39.2) | 72 031 (39.3) | 61 675 (29.3) | 22.5 (<0.001) |
| No. of positive cases (%) | 1948 (39.2) | 2339 (42.3) | 3262 (43.5) | 4267 (38.0) | 470.5 (<0.001) |
| PCR* | |||||
| No. of tests (%) | 10 792 (6.9) | 12 568 (7.3) | 18 235 (9.9) | 29 543 (14.1) | 6203.5 (<0.001) |
| No. of positive cases (%) | 564 (11.3) | 573 (10.4) | 818 (10.9) | 1445 (12.9) | 0.3 (0.57) |
| Immunofluorescence* | |||||
| No. of tests (%) | 13 904 (8.9) | 15 549 (9.1) | 18 384 (10.0) | 21 246 (10.1) | 270.2 (<0.001) |
| No. of positive cases (%) | 74 (1.5) | 70 (1.3) | 239 (3.2) | 503 (4.5) | 299.2 (<0.001) |
| Total* | |||||
| No. of tests (%, increased rate compared with 2014) | 155 747 | 171 456 (10.1) | 183 434 (17.8) | 210 238 (35.0) | 4525.4 (<0.001) |
| No. of positive cases | 4975 | 5528 | 7504 | 11 220 | 1318.1 (<0.001) |
| No. of reported cases (%, increased rate compared with 2014)† | 3600 | 3910 (8.6) | 5627 (56.3) | 8040 (123.3) | 4133.8 (<0.001) |
*These data for the 10 cities were obtained from the retrospective study.
†These data for the 10 cities were from STI CRS.
Figure 2The yearly increased rate of screening coverage from the retrospective study and the number of reported cases from the sexually transmitted infections case report system based on 2014 in the 40 hospitals, 10 cities.
Sexual risk behaviour among male attending sexually transmitted infections (STI) clinics between 2015 and 2017
| 2015 (n=1749) | 2016 (n=1718) | 2017 (n=1973) | χ2 (p) | ||||
| N | % | N | % | N | % | ||
| Age | 1.31 (0.25) | ||||||
| 11–20 | 99 | 5.7 | 50 | 2.9 | 85 | 4.3 | |
| 21–30 | 453 | 25.9 | 406 | 23.6 | 495 | 25.1 | |
| 31–40 | 444 | 25.4 | 431 | 25.1 | 543 | 27.5 | |
| 41–50 | 392 | 22.4 | 442 | 25.7 | 417 | 21.1 | |
| 51–60 | 195 | 11.1 | 215 | 12.5 | 231 | 11.7 | |
| >60 | 166 | 9.5 | 174 | 10.1 | 202 | 10.2 | |
| Marital status | 1.10 (0.29) | ||||||
| Never married | 386 | 22.1 | 405 | 23.6 | 405 | 20.5 | |
| Married/engaged | 1332 | 76.1 | 1266 | 73.7 | 1534 | 77.8 | |
| Separated/divorced/widowed | 31 | 1.8 | 47 | 2.7 | 34 | 1.7 | |
| Residency | 21.3 (<0.001) | ||||||
| Guangdong | 1614 | 92.3 | 1482 | 86.3 | 1723 | 87.3 | |
| Out of Guangdong | 135 | 7.7 | 236 | 13.7 | 250 | 12.7 | |
| Had sex with female sex workers in the past 3 months | 13.99 (0.002) | ||||||
| Yes | 432 | 26.2 | 512 | 30.9 | 633 | 32.1 | |
| No | 1214 | 73.8 | 1147 | 69.1 | 1336 | 67.9 | |
| Had sex with casual partners in the past 3 months | 24.86 (<0.001) | ||||||
| Yes | 288 | 17.5 | 460 | 27.3 | 490 | 24.9 | |
| No | 1357 | 82.5 | 1223 | 72.7 | 1478 | 75.1 | |
| Recreational drug use | 3.13 (0.08) | ||||||
| Yes | 9 | 0.5 | 3 | 0.2 | 4 | 0.2 | |
| No | 1684 | 99.5 | 1702 | 99.8 | 1969 | 99.8 | |
| Had anal intercourse with male partners | 1.43 (0.23) | ||||||
| Yes | 52 | 3.1 | 47 | 2.8 | 48 | 2.4 | |
| No | 1633 | 96.9 | 1657 | 97.2 | 1920 | 97.6 | |
| Gonorrhoea | 2.18 (0.14) | ||||||
| Yes | 48 | 2.7 | 59 | 3.5 | 70 | 3.6 | |
| No | 1701 | 97.3 | 1640 | 96.5 | 1863 | 96.4 | |
| Syphilis | 1.05 (0.31) | ||||||
| Yes | 60 | 3.5 | 54 | 3.9 | 73 | 4.1 | |
| No | 1677 | 96.5 | 1326 | 96.1 | 1699 | 95.9 | |
| Chlamydia | 1.24 (0.27) | ||||||
| Yes | 106 | 6.1 | 147 | 8.7 | 137 | 7.1 | |
| No | 1641 | 93.9 | 1552 | 91.3 | 1796 | 92.9 | |
Factors associated with gonorrhoea infection among males attending clinics between 2015 and 2017
| Characteristics | n (%) | Crude model | Adjusted model† |
| OR (95% CI) | OR (95% CI) | ||
| Had sex with female sex workers in the past 3 months | |||
| Yes | 1585 (30.2) | 2.59 (1.92 to 3.50)* | 2.55 (1.89 to 3.45)* |
| No | 3661 (69.8) | Ref. | Ref. |
| Had sex with casual partners in the past 3 months | |||
| Yes | 1216 (23.2) | 1.59 (1.16 to 2.21)* | 1.49 (1.08 to 2.07)* |
| No | 4022 (76.8) | Ref | Ref. |
| Recreational drug use | |||
| Yes | 16 (0.3) | 1.94 (0.26 to 14.76) | 1.73 (0.23 to 13.26) |
| No | 5296 (99.7) | Ref. | Ref. |
| Had anal intercourse with male partners | |||
| Yes | 147 (2.8) | 1.24 (0.46 to 3.39) | 1.44 (0.52 to 3.98) |
| No | 5151 (97.2) | Ref. | Ref. |
*P<0.01.
†Adjusted model was adjusted for age (continuous), marital status and residency.