| Literature DB >> 30002329 |
Ranmini Kularatne1,2, Venessa Maseko3, Lindy Gumede4, Tendesayi Kufa5,6.
Abstract
BACKGROUND: In South Africa, sexually transmitted infections (STIs) are managed through a syndromic approach at primary healthcare centres (PHCs). Neisseria gonorrhoeae is the predominant cause of male urethritis syndrome. We describe antimicrobial resistance patterns and trends in Neisseria gonorrhoeae during a ten-year surveillance period at a large PHC in Johannesburg.Entities:
Keywords: Neisseria gonorrhoeae; antimicrobial resistance
Year: 2018 PMID: 30002329 PMCID: PMC6165174 DOI: 10.3390/antibiotics7030058
Source DB: PubMed Journal: Antibiotics (Basel) ISSN: 2079-6382
Demographic and clinical characteristics of participants with gonorrhoea, Johannesburg, 2008–2017.
| Characteristic | Males (2254) | Females (191) | All (2445) |
|---|---|---|---|
| Age in years (median, IQR) * | 28 (24–32) | 24 (23–30) | 27 (24–32) |
| Ethnic group (black African) β (%) | 1921 (99.7) | 164 (100) | 2085 (99.7) |
| History of STI syndrome in past 12 months (%) | 580 (25.8) | 63 (31.3) | 643 (26.3) |
| Heterosexual orientation α (%) | 1907 (99.8) | 161 (99.4) | 2068 (99.8) |
| HIV positivity µ (%) | 655 (32.5) | 104 (52.0) | 759 (34.3) |
| Year of enrolment (%) | |||
| 2008 | 309 (13.7) | 29 (15.2) | 338 (13.8) |
| 2009 | 305 (13.5) | 19 (10.0) | 324 (13.2) |
| 2010 | 287 (12.7) | 29 (15.2) | 316 (12.9) |
| 2011 | 260 (11.5) | 38 (19.9) | 298 (12.2) |
| 2012 | 273 (12.1) | 21 (11.0) | 294 (12.0) |
| 2013 | 221 (9.8) | 28 (14.7) | 249 (10.2) |
| 2014 | 208 (9.2) | 27 (14.1) | 235 (9.6) |
| 2015 | 137 (6.1) | 0 (0.0) | 137 (5.6) |
| 2016 | 128 (5.6) | 0 (0.0) | 128 (5.7) |
| 2017 | 128 (5.7) | 0 (0.0) | 128 (5.7) |
* Available for 2418 (2229 males and 189 females), β available for 2091 participants (1929 males and 162 females), α available for 2073 participants (1913 males and 160 females), µ available for 2213 participants (2023 males and 190 females). STI: sexually transmitted infection; IQR *: interquartile range.
Number of Neisseria gonorrhoeae isolates tested for susceptibility to various antimicrobials by calendar year, Johannesburg, 2008–2017.
| Antimicrobials and AST Method | ||
|---|---|---|
| Year | Cefixime (CXM), ceftriaxone (CTR), ciprofloxacin (CIP) E-test MIC | Azithromycin (AZM), penicillin (PEN), tetracycline (TET), spectinomycin (SPC) Agar dilution MIC |
| 2008 | 338 (CTR and CIP only) | 233 |
| 2009 | 324 | 0 |
| 2010 | 316 | 0 |
| 2011 | 298 | 70 |
| 2012 | 294 | 31 |
| 2013 | 249 | 77 |
| 2014 | 235 | 93 |
| 2015 | 136 | 125 |
| 2016 | 128 | 113 (CIP included) |
| 2017 | 128 (CXM and CTR only) | 122 (AZM and SPC only) |
MIC = minimum inhibitory concentration; AST: antimicrobial susceptibility testing.
Figure 1Prevalence of resistance by calendar year for (a) penicillin, (b) tetracycline, and (c) ciprofloxacin in Neisseria gonorrhoeae, Johannesburg, 2008–2016. Minimum inhibitory concentration (MIC) breakpoint criteria (µg/mL) as per Clinical Laboratory Standards Institute (CLSI) 2018; 28th Edition.
Cefixime MIC trend analysis, Johannesburg, 2008–2017.
| Year | No. of Isolates | MIC50 | MIC90 | Maximum MIC | % with MIC = 0.125 | *% with MIC = 0.25 | % with MIC >/= 0.5 |
|---|---|---|---|---|---|---|---|
| 2009 | 324 | <0.016 | 0.016 | 0.064 | 0 | 0 | 0 |
| 2010 | 316 | <0.016 | <0.016 | 0.016 | 0 | 0 | 0 |
| 2011 | 297 | <0.016 | <0.016 | 0.016 | 0 | 0 | 0 |
| 2012 | 294 | <0.016 | <0.016 | 0.016 | 0 | 0 | 0 |
| 2013 | 249 | 0.016 | 0.016 | 0.25 | 0 | 0.4 ( | 0 |
| 2014 | 235 | <0.016 | 0.016 | 0.047 | 0 | 0 | 0 |
| 2015 | 137 | 0.016 | 0.032 | 0.064 | 0 | 0 | 0 |
| 2016 | 128 | <0.016 | 0.016 | 0.016 | 0 | 0 | |
| 2017 | 128 | <0.016 | 0.016 | 0.125 | 0.8 ( | 0 | 0 |
MIC = minimum inhibitory concentration (µg/mL). Resistance defined as MIC ≥ 0.25 μg/mL (European Committee on Antimicrobial Susceptibility Testing (EUCAST) 2018; version 8.0). p-value for equality of medians across years < 0.001; p-value for trend < 0.001.
Ceftriaxone MIC trend analysis, Johannesburg, 2008–2017.
| Year | No. of Isolates | MIC50 | MIC90 | Maximum MIC | % with MIC = 0.125 | % with MIC = 0.25 | % with MIC >/= 0.5 |
|---|---|---|---|---|---|---|---|
| 2008 | 338 | 0.002 | 0.004 | 0.008 | 0 | 0 | 0 |
| 2009 | 324 | 0.003 | 0.006 | 0.38 | 0 | 0.3 ( | 0.3 ( |
| 2010 | 316 | 0.002 | 0.006 | 0.032 | 0 | 0 | 0 |
| 2011 | 298 | 0.003 | 0.004 | 0.012 | 0 | 0 | 0 |
| 2012 | 294 | 0.003 | 0.004 | 0.012 | 0 | 0 | 0 |
| 2013 | 228 | 0.003 | 0.006 | 0.064 | 0 | 0 | 0 |
| 2014 | 235 | 0.004 | 0.008 | 0.047 | 0 | 0 | 0 |
| 2015 | 136 | 0.003 | 0.006 | 0.012 | 0 | 0 | 0 |
| 2016 | 135 | 0.004 | 0.008 | 0.032 | 0 | 0 | 0 |
| 2017 | 128 | 0.003 | 0.008 | 0.032 | 0 | 0 | 0 |
MIC = minimum inhibitory concentration (µg/mL). Resistance defined as MIC ≥ 0.25 μg/mL (EUCAST 2018; version 8.0). p-value for equality of medians across years < 0.001; p-value for trend = 0.001.
Azithromycin MIC trend analysis, Johannesburg, 2008–2017.
| Year | No. of Isolates | MIC50 | MIC90 | Maximum MIC | % Susceptible MIC </= 0.25 | % Intermediately-Resistant MIC = 0.5 | % Resistant MIC > 0.5 |
|---|---|---|---|---|---|---|---|
| 2008 | 233 | 0.128 | 0.5 | 1 | 86.3 | 9.4 | 4.3 |
| 2011 | 70 | 0.128 | 0.25 | 0.5 | 94.3 | 5.7 | 0 |
| 2012 | 31 | 0.128 | 0.25 | 0.5 | 93.6 | 6.4 | 0 |
| 2013 | 77 | 0.25 | 0.25 | 0.5 | 90.9 | 9.1 | 0 |
| 2014 | 93 | 0.064 | 0.25 | 0.5 | 97.9 | 2.1 | 0 |
| 2015 | 125 | 0.128 | 0.25 | 0.5 | 97.6 | 2.4 | 0 |
| 2016 | 113 | 0.128 | 0.25 | 0.25 | 100 | 0 | 0 |
| 2017 | 122 | 0.064 | 0.25 | 0.5 | 97.5 | 2.5 | 0 |
MIC breakpoint criteria (µg/mL) as per EUCAST 2018; version 8.0. p-value for equality of medians across years < 0.001; p-value for trend = 0.007; x2 for trend in AZM sensitivity < 0.001.
Spectinomycin MIC trend analysis, Johannesburg, 2008–2017.
| Year | Number Tested | MIC50 | MIC90 | Maximum MIC | % Susceptible (MIC | % Intermediately-Resistant (MIC = 64) | % Resistant (MIC ≥ 128) |
|---|---|---|---|---|---|---|---|
| 2008 | 233 | 16 | 32 | 64 | 99.6 | 0.4 | 0 |
| 2011 | 70 | 16 | 32 | 64 | 98.6 | 1.4 | 0 |
| 2012 | 31 | 16 | 32 | 32 | 100 | 0 | 0 |
| 2013 | 77 | 16 | 32 | 32 | 100 | 0 | 0 |
| 2014 | 93 | 16 | 16 | 32 | 100 | 0 | 0 |
| 2015 | 125 | 32 | 32 | 32 | 100 | 0 | 0 |
| 2016 | 113 | 16 | 16 | 32 | 100 | 0 | 0 |
| 2017 | 122 | 16 | 16 | 32 | 100 | 0 | 0 |
MIC breakpoint criteria (µg/mL) as per CLSI 2018; 28th Edition. p-value for equality of medians across years < 0.001; p-value for trend < 0.001.