| Literature DB >> 25942450 |
Jyh-Ming Liou1, Chi-Yang Chang2, Mei-Jyh Chen1, Chieh-Chang Chen1, Yu-Jen Fang3, Ji-Yuh Lee3, Jeng-Yih Wu4, Jiing-Chyuan Luo5, Tai-Cherng Liou6, Wen-Hsiung Chang6, Cheng-Hao Tseng2, Chun-Ying Wu7, Tsung-Hua Yang3, Chun-Chao Chang8, Hsiu-Po Wang1, Bor-Shyang Sheu9, Jaw-Town Lin10, Ming-Jong Bair11, Ming-Shiang Wu1.
Abstract
OBJECTIVE: The Taiwan Government issued a policy to restrict antimicrobial usage since 2001. We aimed to assess the changes in the antibiotic consumption and the primary resistance of H. pylori after this policy and the impact of virulence factors on resistance.Entities:
Mesh:
Substances:
Year: 2015 PMID: 25942450 PMCID: PMC4420283 DOI: 10.1371/journal.pone.0124199
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Prevalence of primary and secondary antibiotic resistance of Helicobacter pylori in Taiwan.
| Primary Treatment-naive | Secondary Failed once | Secondary Failed at least twice | p-value | |
|---|---|---|---|---|
|
| 51.6% (720/1395) | 47.4% (101/192) | 34.2% (54/158) | <0.001 |
|
| 51.8 (13.7) | 52.3 (12.3) | 52.6 (10.4) | 0.852 |
|
| 11.2% (154/1378) | 61.2% (115/188) | 95.5% (149/156) | <0.001 |
|
| 8.8% (122/1384) | 14.4% (27/188) | 60.3% (94/156) | <0.001 |
|
| 25.7% (355/1380) | 33.5% (63/188) | 64.7% (101/156) | <0.001 |
|
| 2.3% (32/1381) | 3.7% (7/188) | 8.3% (13/156) | <0.001 |
|
| 2.7% (37/1353) | 1.6% (3/188) | 6.5% (10/155) | 0.018 |
|
| 2.2% (13/589) | 2.8% (3/108) | 1.0% (1/102) | 0.643 |
|
| 14.3% (168/1177) | 10.9% (15/138) | 15% (21/140) | 0.519 |
|
| 4.3% (60/1383) | 22.3% (42/188) | 62.2% (97/156) | <0.001 |
|
| 1.9% (26/1381) | 7.4% (14/188) | 49.3% (77/156) | <0.001 |
SD: standard deviation.
Primary antibiotic resistance of Helicobacter pylori—subgroup analysis.
| CLA | LEV | MET | AMO | TET | |
|---|---|---|---|---|---|
|
| |||||
| 2000–2007 | 10.1% (31/306) | 4.9% (15/306) | 22.6% (69/305) | 1.3% (4/305) | 5.0% (15/298) |
| 2008–2010 | 10.8% (78/721) | 8.3% (60/726) | 27.9% (202/723) | 3.2% (23/724) | 2.3% (16/703) |
| 2011–2012 | 12.8% (45/351) | 13.4% (47/352) | 23.9% (84/352) | 1.4% (5/352) | 1.7% (6/352) |
| p-values | 0.500 |
| 0.133 | 0.083 |
|
|
| |||||
| Male | 9.5% (67/702) | 9.5% (67/705) | 18.8% (132/703) | 1.8% (13/704) | 3.8% (26/689) |
| Female | 13% (87/669) | 8.2% (55/672) | 33.1% (222/670) | 2.8% (19/670) | 1.7% (11/657) |
| p-values | 0.043 | 0.389 |
| 0.224 |
|
|
| |||||
| Northern | 10.6% (69/653) | 7.0% (46/655) | 25.2% (165/654) | 2.6% (17/653) | 2.5% (16/640) |
| Middle | 14.7% (47/319) | 11.6% (37/320) | 25.9% (83/320) | 2.8% (9/320) | 1.9% (6/320) |
| Southern | 11.2% (32/286) | 12.1% (35/289) | 31.1% (89/286) | 1.7% (5/288) | 4.8% (13/273) |
| Eastern | 5.0% (6/120) | 3.3% (4/120) | 15.0% (18/120) | 0.8% (1/120) | 1.7% (2/120) |
| p-values |
|
|
| 0.536 | 0.124 |
|
| |||||
| Negative | 9.5% (19/201) | 9.4% (19/202) | 30.2% (61/202) | 1.5% (3/202) | 0.5% (1/192) |
| Positive | 11.5% (135/1175) | 8.7% (103/1180) | 25.0% (294/1176) | 2.5% (29/1177) | 3.1% (36/1159) |
| p-values | 0.397 | 0.754 | 0.119 | 0.611 | 0.042 |
|
| |||||
| s1m1 | 10.9% (63/578) | 7.6% (44/581) | 26.9% (155/577) | 2.4% (14/579) | 4.3% (24/564) |
| s1m2 | 11.8% (76/643) | 9.6% (62/646) | 25.1% (162/646) | 2.0% (13/645) | 1.7% (11/634) |
| s2m1 | 0% (0/3) | 0% (0/3) | 66.7% (2/3) | 0% (0/3) | 0% (0/3) |
| s2m2 | 0% (0/5) | 20% (1/5) | 0% (0/5) | 0% (0/5) | 0% (0/5) |
| p-values | 0.733 | 0.443 | 0.183 | 0.938 | 0.073 |
CLA: clarithromycin; LEV: levofloxacin; MET: metronidazole; AMO: amoxicillin; TET: tetracycline; GU: gastric ulcer; DU: duodenal ulcer; CagA: cytotoxin-associated gene A; VacA: Vacuolating cytotoxin A.
Multivariate logistic analysis of risk factors for antimicrobial resistance.
| Odd Ratios (95% confidence interval) | |||||
|---|---|---|---|---|---|
| CLA | LEV | MET | AMO | TET | |
| Primary resistance | |||||
|
| |||||
| ≥50 vs. <50 | 1.01 (0.71–1.44) |
| 0.74 (0.58–0.95) | 1.89 (0.86–4.12) | 1.31 (0.64–2.7) |
|
| |||||
| 2008–2012 vs. 2000–2007 | 1.40 (0.84–2.33) | 1.45 (0.77–2.74) | 0.99 (0.69–1.43) | 1.68 (0.5–5.6) | 0.5 (0.22–1.15) |
|
| |||||
| Female vs. males | 1.47 (1.04–2.08) | 0.83 (0.57–1.22) |
| 1.55 (0.76–3.16) | 0.46 (0.22–0.95) |
|
| |||||
| Gastric cancer vs. others | 3.9 (2.24–6.8) | 0.45 (0.16–1.31) | 1.11 (0.66–1.86) | 1.01 (0.22–4.79) | 3.34 (1.35–8.26) |
|
| |||||
| Eastern vs. others | 0.58 (0.23–1.44) | 0.52 (0.17–1.58) |
| 0.56 (0.06–5.0) | 0.48 (0.1–2.22) |
CLA: clarithromycin; LEV: levofloxacin; MET: metronidazole; AMO: amoxicillin; TET: tetracycline.
Fig 1The time trend of outpatient antibiotic consumption and primary resistance of Helicobacter pylori in Taiwan.
We showed trends of reduced consumption of macrolides, nitroimidazole, amoxicillin, and tetracycline after the national policy to restrict antimicrobial usage. The primary resistance of clarithromycin, metronidazole, amoxicillin, and tetracycline remained low and the trends were stable during 2001–2011. In contrast, we observed a trend of increased consumption of fluoroquinolones and a trend of rising primary levofloxacin resistance despite the national policy to restrict antimicrobial usage. *The antibiotic resistance of strains collected before 2001 had been published and were not included in the present study to avoid duplication [13–15]. The antibiotic resistances before 2001 were presented in dotted lines in Fig 1 to better demonstrate the trends of resistance before and after the policy to restrict antimicrobial usage [13–15].
Fig 2The prevalence of primary clarithromycin and metronidazole resistance of Helicobacter pylori in Asia-Pacific regions.
Fig 2A showed that the prevalence of primary clarithromycin and metronidazole resistance remained low in Taiwan, as compared to many other countries in Asia-Pacific regions ([18–25] and S2 Table). Fig 2B showed the trend of clarithromycin resistance in Asia-Pacific regions [12, 18–21].