Seasonality of antimicrobial resistance rates in respiratory bacteria: A systematic review and meta-analysis
Antimicrobial resistance (AMR) rates may display seasonal variation. However, it is not clear whether this seasonality is influenced by the seasonal variation of infectious diseases, geographical region or differences in antibiotic prescription patterns. Therefore, we assessed the seasonality of AMR...
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| Vydáno v: | PloS one Ročník 14; číslo 8; s. e0221133 |
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Public Library of Science
15.08.2019
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| Abstract | Antimicrobial resistance (AMR) rates may display seasonal variation. However, it is not clear whether this seasonality is influenced by the seasonal variation of infectious diseases, geographical region or differences in antibiotic prescription patterns. Therefore, we assessed the seasonality of AMR rates in respiratory bacteria.
Seven electronic databases (Embase.com, Medline Ovid, Cochrane CENTRAL, Web of Science, Core Collection, Biosis Ovid, and Google Scholar), were searched for relevant studies from inception to Jun 25th, 2019. Studies describing resistance rates of Streptococcus pneumoniae and Haemophilus influenzae were included in this review. By using random-effects meta-analysis, pooled odd ratios of seasonal AMR rates were calculated using winter as the reference group. Pooled odd ratios were obtained by antibiotic class and geographical region.
We included 13 studies, of which 7 were meta-analyzed. Few studies were done in H. influenzae, thus this was not quantitively analyzed. AMR rates of S. pneumoniae to penicillins were lower in other seasons than in winter with pooled OR = 0.71; 95% CI = 0.65-0.77; I2 = 0.0%, and to all antibiotics with pooled OR = 0.68; 95% CI = 0.60-0.76; I2 = 14.4%. Irrespective of geographical region, the seasonality of AMR rates in S. pneumoniae remained the same.
The seasonality of AMR rates could result from the seasonality of infectious diseases and its accompanied antibiotic use. |
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| AbstractList | Antimicrobial resistance (AMR) rates may display seasonal variation. However, it is not clear whether this seasonality is influenced by the seasonal variation of infectious diseases, geographical region or differences in antibiotic prescription patterns. Therefore, we assessed the seasonality of AMR rates in respiratory bacteria. Seven electronic databases (Embase.com, Medline Ovid, Cochrane CENTRAL, Web of Science, Core Collection, Biosis Ovid, and Google Scholar), were searched for relevant studies from inception to Jun 25.sup.th, 2019. Studies describing resistance rates of Streptococcus pneumoniae and Haemophilus influenzae were included in this review. By using random-effects meta-analysis, pooled odd ratios of seasonal AMR rates were calculated using winter as the reference group. Pooled odd ratios were obtained by antibiotic class and geographical region. We included 13 studies, of which 7 were meta-analyzed. Few studies were done in H. influenzae, thus this was not quantitively analyzed. AMR rates of S. pneumoniae to penicillins were lower in other seasons than in winter with pooled OR = 0.71; 95% CI = 0.65-0.77; I.sup.2 = 0.0%, and to all antibiotics with pooled OR = 0.68; 95% CI = 0.60-0.76; I.sup.2 = 14.4%. Irrespective of geographical region, the seasonality of AMR rates in S. pneumoniae remained the same. The seasonality of AMR rates could result from the seasonality of infectious diseases and its accompanied antibiotic use. BackgroundAntimicrobial resistance (AMR) rates may display seasonal variation. However, it is not clear whether this seasonality is influenced by the seasonal variation of infectious diseases, geographical region or differences in antibiotic prescription patterns. Therefore, we assessed the seasonality of AMR rates in respiratory bacteria.MethodsSeven electronic databases (Embase.com, Medline Ovid, Cochrane CENTRAL, Web of Science, Core Collection, Biosis Ovid, and Google Scholar), were searched for relevant studies from inception to Jun 25th, 2019. Studies describing resistance rates of Streptococcus pneumoniae and Haemophilus influenzae were included in this review. By using random-effects meta-analysis, pooled odd ratios of seasonal AMR rates were calculated using winter as the reference group. Pooled odd ratios were obtained by antibiotic class and geographical region.ResultsWe included 13 studies, of which 7 were meta-analyzed. Few studies were done in H. influenzae, thus this was not quantitively analyzed. AMR rates of S. pneumoniae to penicillins were lower in other seasons than in winter with pooled OR = 0.71; 95% CI = 0.65-0.77; I2 = 0.0%, and to all antibiotics with pooled OR = 0.68; 95% CI = 0.60-0.76; I2 = 14.4%. Irrespective of geographical region, the seasonality of AMR rates in S. pneumoniae remained the same.ConclusionThe seasonality of AMR rates could result from the seasonality of infectious diseases and its accompanied antibiotic use. Antimicrobial resistance (AMR) rates may display seasonal variation. However, it is not clear whether this seasonality is influenced by the seasonal variation of infectious diseases, geographical region or differences in antibiotic prescription patterns. Therefore, we assessed the seasonality of AMR rates in respiratory bacteria.BACKGROUNDAntimicrobial resistance (AMR) rates may display seasonal variation. However, it is not clear whether this seasonality is influenced by the seasonal variation of infectious diseases, geographical region or differences in antibiotic prescription patterns. Therefore, we assessed the seasonality of AMR rates in respiratory bacteria.Seven electronic databases (Embase.com, Medline Ovid, Cochrane CENTRAL, Web of Science, Core Collection, Biosis Ovid, and Google Scholar), were searched for relevant studies from inception to Jun 25th, 2019. Studies describing resistance rates of Streptococcus pneumoniae and Haemophilus influenzae were included in this review. By using random-effects meta-analysis, pooled odd ratios of seasonal AMR rates were calculated using winter as the reference group. Pooled odd ratios were obtained by antibiotic class and geographical region.METHODSSeven electronic databases (Embase.com, Medline Ovid, Cochrane CENTRAL, Web of Science, Core Collection, Biosis Ovid, and Google Scholar), were searched for relevant studies from inception to Jun 25th, 2019. Studies describing resistance rates of Streptococcus pneumoniae and Haemophilus influenzae were included in this review. By using random-effects meta-analysis, pooled odd ratios of seasonal AMR rates were calculated using winter as the reference group. Pooled odd ratios were obtained by antibiotic class and geographical region.We included 13 studies, of which 7 were meta-analyzed. Few studies were done in H. influenzae, thus this was not quantitively analyzed. AMR rates of S. pneumoniae to penicillins were lower in other seasons than in winter with pooled OR = 0.71; 95% CI = 0.65-0.77; I2 = 0.0%, and to all antibiotics with pooled OR = 0.68; 95% CI = 0.60-0.76; I2 = 14.4%. Irrespective of geographical region, the seasonality of AMR rates in S. pneumoniae remained the same.RESULTSWe included 13 studies, of which 7 were meta-analyzed. Few studies were done in H. influenzae, thus this was not quantitively analyzed. AMR rates of S. pneumoniae to penicillins were lower in other seasons than in winter with pooled OR = 0.71; 95% CI = 0.65-0.77; I2 = 0.0%, and to all antibiotics with pooled OR = 0.68; 95% CI = 0.60-0.76; I2 = 14.4%. Irrespective of geographical region, the seasonality of AMR rates in S. pneumoniae remained the same.The seasonality of AMR rates could result from the seasonality of infectious diseases and its accompanied antibiotic use.CONCLUSIONThe seasonality of AMR rates could result from the seasonality of infectious diseases and its accompanied antibiotic use. Background Antimicrobial resistance (AMR) rates may display seasonal variation. However, it is not clear whether this seasonality is influenced by the seasonal variation of infectious diseases, geographical region or differences in antibiotic prescription patterns. Therefore, we assessed the seasonality of AMR rates in respiratory bacteria. Methods Seven electronic databases (Embase.com, Medline Ovid, Cochrane CENTRAL, Web of Science, Core Collection, Biosis Ovid, and Google Scholar), were searched for relevant studies from inception to Jun 25th, 2019. Studies describing resistance rates of Streptococcus pneumoniae and Haemophilus influenzae were included in this review. By using random-effects meta-analysis, pooled odd ratios of seasonal AMR rates were calculated using winter as the reference group. Pooled odd ratios were obtained by antibiotic class and geographical region. Results We included 13 studies, of which 7 were meta-analyzed. Few studies were done in H. influenzae, thus this was not quantitively analyzed. AMR rates of S. pneumoniae to penicillins were lower in other seasons than in winter with pooled OR = 0.71; 95% CI = 0.65–0.77; I2 = 0.0%, and to all antibiotics with pooled OR = 0.68; 95% CI = 0.60–0.76; I2 = 14.4%. Irrespective of geographical region, the seasonality of AMR rates in S. pneumoniae remained the same. Conclusion The seasonality of AMR rates could result from the seasonality of infectious diseases and its accompanied antibiotic use. Background Antimicrobial resistance (AMR) rates may display seasonal variation. However, it is not clear whether this seasonality is influenced by the seasonal variation of infectious diseases, geographical region or differences in antibiotic prescription patterns. Therefore, we assessed the seasonality of AMR rates in respiratory bacteria. Methods Seven electronic databases (Embase.com, Medline Ovid, Cochrane CENTRAL, Web of Science, Core Collection, Biosis Ovid, and Google Scholar), were searched for relevant studies from inception to Jun 25th, 2019. Studies describing resistance rates of Streptococcus pneumoniae and Haemophilus influenzae were included in this review. By using random-effects meta-analysis, pooled odd ratios of seasonal AMR rates were calculated using winter as the reference group. Pooled odd ratios were obtained by antibiotic class and geographical region. Results We included 13 studies, of which 7 were meta-analyzed. Few studies were done in H. influenzae, thus this was not quantitively analyzed. AMR rates of S. pneumoniae to penicillins were lower in other seasons than in winter with pooled OR = 0.71; 95% CI = 0.65–0.77; I2 = 0.0%, and to all antibiotics with pooled OR = 0.68; 95% CI = 0.60–0.76; I2 = 14.4%. Irrespective of geographical region, the seasonality of AMR rates in S. pneumoniae remained the same. Conclusion The seasonality of AMR rates could result from the seasonality of infectious diseases and its accompanied antibiotic use. Antimicrobial resistance (AMR) rates may display seasonal variation. However, it is not clear whether this seasonality is influenced by the seasonal variation of infectious diseases, geographical region or differences in antibiotic prescription patterns. Therefore, we assessed the seasonality of AMR rates in respiratory bacteria. Seven electronic databases (Embase.com, Medline Ovid, Cochrane CENTRAL, Web of Science, Core Collection, Biosis Ovid, and Google Scholar), were searched for relevant studies from inception to Jun 25th, 2019. Studies describing resistance rates of Streptococcus pneumoniae and Haemophilus influenzae were included in this review. By using random-effects meta-analysis, pooled odd ratios of seasonal AMR rates were calculated using winter as the reference group. Pooled odd ratios were obtained by antibiotic class and geographical region. We included 13 studies, of which 7 were meta-analyzed. Few studies were done in H. influenzae, thus this was not quantitively analyzed. AMR rates of S. pneumoniae to penicillins were lower in other seasons than in winter with pooled OR = 0.71; 95% CI = 0.65-0.77; I2 = 0.0%, and to all antibiotics with pooled OR = 0.68; 95% CI = 0.60-0.76; I2 = 14.4%. Irrespective of geographical region, the seasonality of AMR rates in S. pneumoniae remained the same. The seasonality of AMR rates could result from the seasonality of infectious diseases and its accompanied antibiotic use. Background Antimicrobial resistance (AMR) rates may display seasonal variation. However, it is not clear whether this seasonality is influenced by the seasonal variation of infectious diseases, geographical region or differences in antibiotic prescription patterns. Therefore, we assessed the seasonality of AMR rates in respiratory bacteria. Methods Seven electronic databases (Embase.com, Medline Ovid, Cochrane CENTRAL, Web of Science, Core Collection, Biosis Ovid, and Google Scholar), were searched for relevant studies from inception to Jun 25.sup.th, 2019. Studies describing resistance rates of Streptococcus pneumoniae and Haemophilus influenzae were included in this review. By using random-effects meta-analysis, pooled odd ratios of seasonal AMR rates were calculated using winter as the reference group. Pooled odd ratios were obtained by antibiotic class and geographical region. Results We included 13 studies, of which 7 were meta-analyzed. Few studies were done in H. influenzae, thus this was not quantitively analyzed. AMR rates of S. pneumoniae to penicillins were lower in other seasons than in winter with pooled OR = 0.71; 95% CI = 0.65-0.77; I.sup.2 = 0.0%, and to all antibiotics with pooled OR = 0.68; 95% CI = 0.60-0.76; I.sup.2 = 14.4%. Irrespective of geographical region, the seasonality of AMR rates in S. pneumoniae remained the same. Conclusion The seasonality of AMR rates could result from the seasonality of infectious diseases and its accompanied antibiotic use. |
| Audience | Academic |
| Author | Bramer, Wichor M. Franco, Oscar H. Cepeda, Magda Schoufour, Josje Verbon, Annelies Martinez, Evelyn Pamela Glisic, Marija Jovanoska, Marija |
| AuthorAffiliation | 7 Institute of Social and Preventive Medicine, Faculty of Medicine, University of Bern, Bern, Switzerland 5 Medical Library, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands 6 Leibniz Institute for Prevention Research and Epidemiology—BIPS, Bremen, Germany Rabin Medical Center, Beilinson Hospital, ISRAEL 1 Facultad de Medicina Veterinaria y Zootecnia, Universidad Central del Ecuador, Quito, Ecuador 2 Department of Microbiology and Infectious Diseases, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands 4 Medical Faculty, Saints Cyril and Methodius University of Skopje, Skopje, Macedonia 3 Department of Epidemiology, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands |
| AuthorAffiliation_xml | – name: 1 Facultad de Medicina Veterinaria y Zootecnia, Universidad Central del Ecuador, Quito, Ecuador – name: 7 Institute of Social and Preventive Medicine, Faculty of Medicine, University of Bern, Bern, Switzerland – name: Rabin Medical Center, Beilinson Hospital, ISRAEL – name: 6 Leibniz Institute for Prevention Research and Epidemiology—BIPS, Bremen, Germany – name: 3 Department of Epidemiology, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands – name: 2 Department of Microbiology and Infectious Diseases, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands – name: 4 Medical Faculty, Saints Cyril and Methodius University of Skopje, Skopje, Macedonia – name: 5 Medical Library, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands |
| Author_xml | – sequence: 1 givenname: Evelyn Pamela orcidid: 0000-0003-2668-4845 surname: Martinez fullname: Martinez, Evelyn Pamela – sequence: 2 givenname: Magda surname: Cepeda fullname: Cepeda, Magda – sequence: 3 givenname: Marija surname: Jovanoska fullname: Jovanoska, Marija – sequence: 4 givenname: Wichor M. surname: Bramer fullname: Bramer, Wichor M. – sequence: 5 givenname: Josje surname: Schoufour fullname: Schoufour, Josje – sequence: 6 givenname: Marija surname: Glisic fullname: Glisic, Marija – sequence: 7 givenname: Annelies surname: Verbon fullname: Verbon, Annelies – sequence: 8 givenname: Oscar H. orcidid: 0000-0002-4606-4929 surname: Franco fullname: Franco, Oscar H. |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31415656$$D View this record in MEDLINE/PubMed |
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| CitedBy_id | crossref_primary_10_2147_IDR_S294989 crossref_primary_10_1007_s10653_021_00950_x crossref_primary_10_1186_s12879_023_08930_5 crossref_primary_10_1016_j_ibiod_2025_106166 crossref_primary_10_1016_j_scitotenv_2021_147269 crossref_primary_10_1016_j_prevetmed_2023_106006 crossref_primary_10_3390_ijerph22030351 crossref_primary_10_1016_j_ajic_2020_11_024 crossref_primary_10_1016_j_ijfoodmicro_2021_109516 crossref_primary_10_1093_ofid_ofac039 crossref_primary_10_3390_ani15071043 crossref_primary_10_1038_s41545_024_00349_y crossref_primary_10_1186_s12879_025_11467_4 crossref_primary_10_1186_s12879_025_11171_3 crossref_primary_10_1080_14740338_2021_1928633 crossref_primary_10_3390_antibiotics13010050 crossref_primary_10_3389_fmicb_2025_1530414 crossref_primary_10_1111_zph_12920 crossref_primary_10_1186_s12879_022_07167_y crossref_primary_10_1186_s12866_024_03271_y crossref_primary_10_1371_journal_pone_0249823 crossref_primary_10_2166_wh_2024_161 crossref_primary_10_36953_ECJ_29562934 crossref_primary_10_1371_journal_pone_0240655 |
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| ContentType | Journal Article |
| Copyright | COPYRIGHT 2019 Public Library of Science 2019 Martinez et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2019 Martinez et al 2019 Martinez et al |
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| Title | Seasonality of antimicrobial resistance rates in respiratory bacteria: A systematic review and meta-analysis |
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