| Literature DB >> 35658597 |
Muhammad Morshed1,2, Min-Kuang Lee1, Jonathan Laley1, Darrel Cook3, Annie Mak1, Navdeep Chahil1, Venessa Ryan3, Carolyn Montgomery3, Sylvia Makaroff3, Sarah Malleson3, Barbra Arnold3, Troy Grennan3,4, Jason Wong3, Mel Krajden1,2.
Abstract
British Columbia (BC) implemented the syphilis reverse screening algorithm and Treponema pallidum PCR testing in 2014. We summarize the performance characteristics of the algorithm, together with PCR direct detection, and report on syphilis cases identified from 2015 to 2020. Prior to 2015, samples for syphilis diagnosis were first screened by rapid plasma reagin (RPR). As of 2015, sera were screened by the Siemens Advia Centaur syphilis assay (enzyme immunoassay [EIA]). Positive and equivocal samples were reflex tested by a T. pallidum passive particle agglutination assay (TPPA) and RPR. We used T. pallidum DNA PCR on clinical samples and restriction fragment length polymorphism analysis to identify azithromycin resistance mutations. Case/epidemiological data were obtained from the BC surveillance system. Of 1,631,519 samples screened by the EIA, 72,492 (4.4%) were positive and 187 (<0.1%) were equivocal. Of EIA-positive/equivocal samples, 10.6% were false positive, and false positivity was higher at lower EIA indices. The reverse algorithm detected 4,693 late latent syphilis cases that likely would have been missed by RPR screening. PCR had a very high sensitivity of 100% versus 52.9% and 52.4% for dark-field (DF) and immunofluorescence (IF) microscopy, respectively. The azithromycin resistance mutation A2058G was identified in 96% of PCR-positive samples, and A2059G was identified in 4%. Annually, there were 944 to 1,467 syphilis cases, with 62% in men who reported male sexual partners. The reverse algorithm had a low false-positive rate and very few equivocal screening results but did identify previously undiagnosed late latent syphilis cases. PCR was more sensitive than both DF and IF microscopy for direct diagnosis and enabled monitoring for azithromycin resistance. IMPORTANCE In this study, we summarize the performance characteristics of the algorithm, together with PCR direct detection and epidemiological analysis, and report on syphilis cases identified from 2015 to 2020. This allowed us to paint a complete picture of the outcome of the utilization of the reverse algorithm for diagnosing syphilis cases. The study clearly showed that the reverse algorithm had a low false-positive rate and very few equivocal screening results but did identify previously undiagnosed late latent syphilis cases. PCR was more sensitive than both DF and IF microscopy for direct diagnosis and enabled monitoring for azithromycin resistance.Entities:
Keywords: PCR; reverse algorithm; screening; syphilis
Mesh:
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Year: 2022 PMID: 35658597 PMCID: PMC9241594 DOI: 10.1128/spectrum.00686-22
Source DB: PubMed Journal: Microbiol Spectr ISSN: 2165-0497
British Columbia syphilis reverse algorithm screening and confirmation test results, 2015 to 2020
| Yr | No. of | No. of | No. of | Total no. (%) of | Samples tested by TPPA | Samples tested by RPR | ||||
|---|---|---|---|---|---|---|---|---|---|---|
| No. | No. | Total no. (%) | No. (%) | No. (%) | No. (%) | |||||
| 2015 | 235,420 | 9,377 | 52 | 9,429 (4.0) | 1,598 | 6,609 | 8,207 (87.0) | 1,222 (13.0) | 4,361 (46.3) | 5,068 (53.7) |
| 2016 | 254,589 | 10,471 | 28 | 10,499 (4.1) | 1,429 | 7,748 | 9,177 (87.4) | 1,322 (12.6) | 4,263 (40.6) | 6,236 (59.4) |
| 2017 | 264,696 | 11,054 | 31 | 11,085 (4.2) | 1,522 | 8,422 | 9,944 (89.7) | 1,141 (10.3) | 4,224 (38.1) | 6,861 (61.9) |
| 2018 | 284,023 | 12,989 | 29 | 13,018 (4.6) | 1,766 | 9,819 | 11,585 (89.0) | 1,433 (11.0) | 4,593 (35.3) | 8,425 (64.7) |
| 2019 | 312,870 | 15,463 | 29 | 15,492 (5.0) | 2,055 | 11,920 | 13,975 (90.2) | 1,517 (9.8) | 5,596 (36.1) | 9,896 (63.9) |
| 2020 | 279,931 | 13,138 | 18 | 13,156 (4.7) | 1,713 | 10,136 | 11,849 (90.1) | 1,307 (9.9) | 4,525 (34.4) | 8,631 (65.6) |
| Total | 1,631,529 | 72,492 | 187 | 72,679 (4.5) | 10,083 | 54,654 | 64,737 (89.1) | 7,942 (10.9) | 27,562 (37.9) | 45,117 (62.1) |
Samples testing positive for the first time were considered active cases; if the RPR titer was ≥4-fold higher than that of the previously RPR-tested sample, the case was also considered active. TPPA-positive, RPR-negative cases were considered latent.
Patients who tested TPPA positive on a previous sample were not retested.
EIA, enzyme immunoassay screen test; TPPA, treponemal passive particle agglutination assay; RPR, rapid plasma reagin test.
FIG 1Syphilis serology reverse screening algorithm, BCCDC Public Health Laboratory, 2015 to 2020. *, these latent infections would likely have been undetected and not treated when using rapid plasma reagin (RPR) as a screen test; **, the RPR titer is ≥4-fold higher than that of a previous specimen. EIA, enzyme immunoassay screen test; TPPA, treponemal passive particle agglutination assay.
FIG 2TPPA and RPR results stratified by syphilis EIA signal index, 2015 to 2020. Note that false-positive result classification is based on interpretation for an individual sample; some of these may represent early infection or treated cases from the remote past.
Performance characteristics of syphilis direct detection tests, 2015 to 2020 (n = 814)
| Test | Total no. of | No. of | No. of | Sensitivity (%) | Specificity (%) | Positive | Negative | False-positive | False-negative |
|---|---|---|---|---|---|---|---|---|---|
| DF | 40 | 9 | 31 | 52.9 (28.5, 76.1) | 100 (82.2, 100) | 100 (62.9, 100) | 74.2 (55.1, 87.5) | 0 | 47.1 |
| IF | 790 | 104 | 686 | 52.4 (45.0, 59.6) | 99.2 (98.0, 99.7) | 95.2 (88.6, 98.2) | 86.9 (84.1, 89.3) | 0.8 | 47.6 |
| PCR | 809 | 190 | 619 | 99.5 (96.7, 100) | 100 (99.2, 100) | 100 (97.5, 100) | 99.8 (99.0, 100) | 0 | 0.5 |
DF, dark-field microscopy; IF, immunofluorescence microscopy.
British Columbia Treponema pallidum azithromycin resistance detection, 2015 to 2020
| Yr | No. of samples | No. (%) of | No. (%) of | No. (%) of | No. (%) of samples with no mutation |
|---|---|---|---|---|---|
| 2015 | 16 | 15 (93.8) | 15 (100) | 0 | 1 (6.3) |
| 2016 | 18 | 17 (94.4) | 17 (100) | 0 | 1 (5.6) |
| 2017 | 15 | 15 (100) | 15 (100) | 0 | 0 |
| 2018 | 16 | 16 (100) | 16 (100) | 0 | 0 |
| 2019 | 75 | 72 (96.0) | 68 (94.4) | 4 (5.6) | 3 (4.0) |
| 2020 | 51 | 51 (100) | 48 (94.1) | 3 (5.9) | 0 |
| Total | 220 | 215 (97.7) | 206 (95.8) | 9 (4.2) | 5 (2.3) |
British Columbia confirmed syphilis cases by stage of infection, 2015 to 2020
| Yr | No. (%) of cases by stage of infection | Annual total no. of cases | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Infectious | Noninfectious | Congenital | |||||||
| Primary | Secondary | Early latent | Probable | Late latent | Tertiary | Early | Late | ||
| 2015 | 151 (13.2) | 121 (10.6) | 335 (29.4) | 153 (13.4) | 381 (33.4) | 0 | 0 | 0 | 1,141 |
| 2016 | 128 (12.8) | 152 (15.2) | 310 (31.0) | 169 (16.9) | 240 (24.0) | 1 (0.1) | 0 | 0 | 1,000 |
| 2017 | 117 (12.4) | 111 (11.8) | 286 (30.3) | 176 (18.6) | 254 (27.0) | 0 | 0 | 0 | 944 |
| 2018 | 173 (14.3) | 157 (13.0) | 428 (35.5) | 162 (13.4) | 287 (23.8) | 0 | 0 | 0 | 1,207 |
| 2019 | 192 (13.1) | 210 (14.3) | 484 (33.0) | 180 (12.3) | 395 (26.9) | 1 (0.1) | 3 (0.2) | 2 (0.1) | 1,467 |
| 2020 | 136 (11.2) | 223 (18.4) | 396 (32.6) | 157 (12.9) | 297 (24.5) | 2 (0.2) | 2 (0.2) | 0 | 1,213 |
| Total | 897 (12.9) | 974 (14.0) | 2,239 (32.1) | 997 (14.3) | 1,854 (26.6) | 4 (0.1) | 5 (0.1) | 2 (0.0) | 6,972 |
Note that BC syphilis case definitions are available at http://www.bccdc.ca/health-professionals/clinical-resources/case-definitions/syphilis.
British Columbia confirmed syphilis cases by reported sexual orientation, 2015 to 2020
| Yr | Gender | No. (%) of cases by sexual orientation | Total no. of | Annual total no. of cases | ||||
|---|---|---|---|---|---|---|---|---|
| Bisexual | Heterosexual | Homosexual | Partner is | Unknown/missing | ||||
| 2015 | Male | 46 (4.6) | 135 (13.4) | 631 (62.8) | 192 (19.1) | 1,004 (88.0) | 1,141 | |
| Female | 57 (42.2) | 78 (57.8) | 135 (11.8) | |||||
| Transgender | 1 (50.0) | 1 (50.0) | 2 (0.2) | |||||
| 2016 | Male | 39 (4.4) | 110 (12.4) | 572 (64.7) | 163 (18.4) | 884 (88.5) | 999 | |
| Female | 47 (41.2) | 67 (58.8) | 114 (11.4) | |||||
| Transgender | 1 (100) | 1 (0.1) | ||||||
| 2017 | Male | 39 (4.9) | 90 (11.2) | 512 (63.8) | 161 (20.1) | 802 (85.0) | 943 | |
| Female | 1 (0.7) | 53 (38.7) | 83 (60.6) | 137 (14.5) | ||||
| Transgender | 1 (25.0) | 2 (50.0) | 1 (25.0) | 4 (0.4) | ||||
| 2018 | Male | 36 (3.5) | 92 (8.9) | 659 (63.4) | 4 (0.4) | 248 (23.9) | 1,039 (86.8) | 1,197 |
| Female | 1 (0.7) | 58 (39.7) | 87 (59.6) | 146 (12.2) | ||||
| Transgender | 1 (8.3) | 11 (91.7) | 12 (1.0) | |||||
| 2019 | Male | 63 (5.1) | 150 (12.0) | 770 (61.8) | 4 (0.3) | 259 (20.8) | 1,246 (85.6) | 1,456 |
| Female | 1 (0.5) | 109 (52.9) | 96 (46.6) | 206 (14.1) | ||||
| Transgender | 4 (100) | 4 (0.3) | ||||||
| 2020 | Male | 41 (4.2) | 193 (19.6) | 543 (55.2) | 2 (0.2) | 204 (20.8) | 983 (81.2) | 1,211 |
| Female | 4 (1.8) | 136 (60.4) | 85 (37.8) | 225 (18.6) | ||||
| Transgender | 3 (100) | 3 (0.2) | ||||||
| Total | Male | 264 (4.4) | 770 (12.9) | 3,687 (61.9) | 10 (0.2) | 1,227 (20.6) | 5,958 (85.8) | 6,947 |
| Female | 7 (0.7) | 460 (47.8) | 496 (51.5) | 963 (13.9) | ||||
| Transgender | 1 (3.8) | 1 (3.8) | 4 (15.4) | 20 (76.9) | 26 (0.4) | |||
Note that cases where gender was unspecified (n = 25) are not included in this table.
Collection of “transgender” as a gender of the sexual partner commenced in 2018.