| Literature DB >> 33153450 |
Paul C Adamson1, Hung Van Le2,3, Hai Ha Long Le2,3, Giang Minh Le3, Trung Vu Nguyen3,4, Jeffrey D Klausner5,6.
Abstract
BACKGROUND: Antimicrobial resistance (AMR) in Neisseria gonorrhoeae is an emerging global health threat. Surveillance of AMR in N. gonorrhoeae in the Western Pacific Region is important, as resistant strains have typically emerged from this region. There are sparse data regarding antibiotic susceptibility of N. gonorrhoeae from Vietnam. This study aimed to provide updated data on antibiotic susceptibilities in N. gonorrhoeae isolates from Hanoi, Vietnam.Entities:
Keywords: Anti-bacterial agents; Azithromycin; Ceftriaxone; Drug resistance, bacterial; Gonorrhea; Neisseria gonorrhoeae
Mesh:
Substances:
Year: 2020 PMID: 33153450 PMCID: PMC7643326 DOI: 10.1186/s12879-020-05532-3
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Antibiotic susceptibility data from 409 clinical isolates of Neisseria gonorrhoeae from Hanoi, Vietnam in 2017–2019. Mean zone diameters of inhibition and interpretive categories are presented for each antibiotic
( | ( | ( | ||
| 22.0 (11.9) | 20.9 (10.2) | 20.3 (10.5) | 0.16 | |
| 22.8 (9.6) | 21.7 (9.0) | 24.6 (8.2) | < 0.01 | |
| 10 (6–10) | 6 (6–16) | 11 (6–17) | 0.17 | |
| 30.3 (3.3) | 26.5 (3.3) | 27.1 (3.7) | < 0.01 | |
| 34.6 (4.4) | 31.6 (3.8) | 32.7 (4.0) | < 0.01 | |
| 43.0 (4.1) | 40.5 (3.6) | 41.1 (3.8) | < 0.01 | |
| 37.5 (5.0) | 35.5 (4.3) | 36.3 (4.1) | < 0.01 | |
| 0.01 | ||||
| Susceptible | 0 (0%) | 0 (0%) | 0 (0%) | |
| Intermediate | 59 (52.7%) | 50 (37.0%) | 56 (34.6%) | |
| Resistant | 53 (47.3%) | 85 (63.0%) | 106 (65.4%) | |
| 0.02 | ||||
| Susceptible | 0 (0%) | 1 (0.7%) | 2 (1.2%) | |
| Intermediate | 21 (18.8%) | 12 (8.9%) | 36 (22.2%) | |
| Resistant | 91 (81.3%) | 122 (90.4%) | 124 (76.5%) | |
| 0.24 | ||||
| Susceptible | 0 (0%) | 0 (0%) | 2 (1.2%) | |
| Intermediate | 0 (0%) | 1 (0.7%) | 3 (1.9%) | |
| Resistant | 111 (100%) | 134 (99.3%) | 157 (96.9%) | |
| – | ||||
| Susceptible | 112 (100%) | 135 (100%) | 162 (100%) | |
| Intermediate | 0 (0%) | 0 (0%) | 0 (0%) | |
| Resistant | 0 (0%) | 0 (0%) | 0 (0%) | |
| < 0.01 | ||||
| Non-resistant | 94 (84.7%) | 72 (53.3%) | 119 (73.9%) | |
| Resistant | 17 (15.3%) | 63 (46.7%) | 42 (26.1%) | |
| 0.31 | ||||
| Susceptible | 110 (98.2%) | 125 (94.7%) | 158 (97.5%) | |
| Non-susceptible | 2 (1.8%) | 7 (5.7%) | 4 (2.5%) | |
| 0.78 | ||||
| Susceptible | 112 (100%) | 133 (99.3%) | 160 (98.8%) | |
| Non-susceptible | 0 (0%) | 1 (0.7%) | 2 (1.2%) | |
*p value from Kruskal-Wallis test for means and Chi-square or Fisher’s Exact tests for susceptibility categories
aMedian (Interquartile range)
b Interpretive categories (except for azithromycin) were defined according to the Clinical and Laboratory Standards Institute (CLSI) protocol [14]. For azithromycin, interpretive criteria were defined according to the Centers for Disease Control Neisseria Reference Laboratory [15]
Unadjusted and adjusted linear regression models to predict zone diameters of inhibition by year for ceftriaxone, cefixime, and azithromycin. The coefficient (β) is the slope of the regression line in mm
| Antibiotic | Variable | Unadjusted | Adjusted | ||
|---|---|---|---|---|---|
| β (95% CI) | β (95% CI) | ||||
| Year | - 0.50 (−1.04, 0.04) | 0.069 | −0.49 (−1.04, 0.05) | 0.074 | |
| Age | 0.02 (−0.04, 0.08) | 0.467 | 0.02 (−0.03, 0.08) | 0.446 | |
| Sex | 0.34 (−1.02, 1.70) | 0.624 | 0.25 (− 1.11, 1.62) | 0.717 | |
| Year | −0.83 (− 1.30, − 0.36) | 0.001 | − 0.83 (−91.30, − 0.35) | 0.001 | |
| Age | 0.003 (− 0.05, 0.04) | 0.90 | −0.002 (− 0.05, 0.05) | 0.93 | |
| Sex | 0.22 (−0.97, 1.41) | 0.72 | 0.04 (−1.14, 1.22) | 0.95 | |
| Year | −0.83 (−1.33, − 0.33) | 0.001 | −0.81 (− 1.31, − 0.31) | 0.002 | |
| Age | 0.12 (− 0.04, 0.06) | 0.66 | 0.14 (− 0.04, 0.06) | 0.59 | |
| Sex | 0.81 (−0.44, 2.06) | 0.20 | 0.65 (−0.59, 1.90) | 0.30 | |
Fig. 1Scatter plot of disk diffusion data for N. gonorrhoeae isolates in Vietnam from 2017 to 2019. Zone diameters of inhibition in mm are shown, along with the fitted slope line and corresponding 95% confidence intervals (shaded gray), from the linear regression model. Panel a displays data for ceftriaxone and Panel b shows data for azithromycin