| Literature DB >> 35185881 |
Fengge Wang1, Donglan Wang1, Yingjie Wang1, Cancan Li1, Yulu Zheng2, Zheng Guo2, Pengcheng Liu1, Yichun Zhang1, Wei Wang1,2, Youxin Wang3, Haifeng Hou1,2.
Abstract
Misunderstanding temporal coincidence of adverse events during mass vaccination and invalid assessment of possible safety concerns have negative effects on immunization programs, leading to low immunization coverage. We conducted this systematic review and meta-analysis to identify the incidence rates of GBS that are temporally associated with viral vaccine administration but might not be attributable to the vaccines. By literature search in Embase and PubMed, we included 48 publications and 2,110,441,600 participants. The pooled incidence rate of GBS was 3.09 per million persons (95% confidence interval [CI]: 2.67 to 3.51) within six weeks of vaccination, equally 2.47 per 100,000 person-year (95%CI: 2.14 to 2.81). Subgroup analyses illustrated that the pooled rates were 2.77 per million persons (95%CI: 2.47 to 3.07) for individuals who received the influenza vaccine and 2.44 per million persons (95%CI: 0.97 to 3.91) for human papillomavirus (HPV) vaccines, respectively. Our findings evidence the GBS-associated safety of virus vaccines. We present a reference for the evaluation of post-vaccination GBS rates in mass immunization campaigns, including the SARS-CoV-2 vaccine.Entities:
Keywords: Guillain-Barré syndrome; mass immunization; meta-analysis; systematic review; vaccine; virus
Mesh:
Substances:
Year: 2022 PMID: 35185881 PMCID: PMC8850251 DOI: 10.3389/fimmu.2022.782198
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 7.561
Figure 1Flow diagram of study selection.
Characteristics of included studies.
| Author | Publication year | Country | Target virus | Vaccine | Type of vaccine | Time of immunization | Follow-up Duration | N. of participants | N. of GBS |
|---|---|---|---|---|---|---|---|---|---|
| Lee ( | 2020 | Korea | IV | TIV | NA | 2014-2016 | 0-90 d | 10,100,000 | 74 |
| Phillips ( | 2020 | Australia | HPV | HPV vaccine | NA | 2007-2017 | NA | 9,400,000 | 5 |
| Mauro ( | 2019 | Brazil | HPV | HPV vaccine | Recombinant vaccine | 2014-2016 | NA | 3,390,376 | 2 |
| Deceuninck ( | 2018 | Canada | HPV | HPV vaccine | NA | 1999-2014 | NA | 559,988 | 4 |
| Miranda ( | 2017 | France | HPV | HPV vaccine | NA | 2008-2012 | ≥1 d | 842,120 | 20 |
| Gee ( | 2017 | U.S. | HPV | HPV vaccine | NA | 2006-2015 | 15 d | 1,708,075 | 1 |
| Sandhu ( | 2017(a) | U.S. | IV | IV vaccine | NA | 2010-2011 | 0-42 d | 14,052,724 | 88 |
| Sandhu | 2017(b) | U.S. | IV | IV vaccine | NA | 2011-2012 | 0-42 d | 15,474,830 | 75 |
| Sandhu | 2017(c) | U.S. | IV | IV vaccine | NA | 2012-2013 | 0-42 d | 16,220,362 | 87 |
| Sandhu | 2017(d) | U.S. | IV | IV vaccine | NA | 2013-2014 | 0-42 d | 16,189,929 | 89 |
| Ghaderi ( | 2016 | Norway | IV | IV vaccine | Inactivated vaccine | 2009 | 0-42 d | 1,896,455 | 8 |
| Tasher ( | 2016 | Israel | Polio | bOPV | NA | 2013-2014 | 23 d, 45 d, 38 d | 943,587 | 3 |
| Mayet ( | 2015 | France | IV | TIV | Inactivated vaccine | 2011-2012 | 4 d | 256,666 | 1 |
| Haber ( | 2014 | U.S. | IV | TIV | Live attenuated vaccine | 2005-2013 | 0-73 d | 14,221,122 | 14 |
| Kawai ( | 2014(a) | U.S. | IV | TIV | Inactivated vaccine | 2012-2013 | 0-42 d | 2,832,064 | 14 |
| Kawai | 2014(b) | U.S. | IV | IV vaccine | Live attenuated vaccine | 2012-2013 | 0-42 d | 187,497 | 1 |
| Baxter ( | 2013 | U.S. | IV | TIV | Inactivated vaccine | 1994-2006 | 0-42 d | 5,251,544 | 18 |
| McCarthy ( | 2013(a) | Canada | IV | IV vaccine | Inactivated and live attenuated | 2009-2010 | 0-84 d | 538,257 | 9 |
| McCarthy | 2013(b) | Canada | IV | TIV | Inactivated vaccine | 2009-2010 | 0-84 d | 998,881 | 18 |
| McCarthy | 2013(c) | Canada | IV | TIV | Inactivated vaccine | 2010-2011 | 0-84 d | 1,158,932 | 28 |
| Polakowski ( | 2013 | U.S. | IV | MIV | Inactivated vaccine | 2009-2010 | ≥1 d | 3,436,452 | 34 |
| Greene ( | 2013 | U.S. | IV | IV vaccine | Inactivated vaccine | 2009-2011 | 0-141 d | 4,066,533 | 72 |
| Choe ( | 2011 | Korea | IV | TIV | Inactivated vaccine | 2003-2010 | 1-105 d | 75,000,000 | 9 |
| De Wals ( | 2012 | Canada | IV | MIV | NA | 2009-2010 | 0-56 d | 4,067,340 | 25 |
| Souayah ( | 2012 | U.S. | HBV | HBV vaccine | NA | 1990-2009 | ≥1 d | 55,588,000 | 189 |
| Souayah ( | 2012(a) | U.S. | IV | MIV | Inactivated vaccine | 2009 | ≥1 d | 99,366,920 | 62 |
| Souayah ( | 2012(b) | U.S. | IV | IV vaccine | NA | 2009 | ≥1 d | 53,708,996 | 57 |
| Yih ( | 2012 | U.S. | IV | MIV | Inactivated vaccine | 2009-2010 | 0-70 d | 2,880,797 | 5 |
| Wise ( | 2012 | U.S. | IV | IV vaccine | NA | 2009-2010 | ≥1 d | 32,000,000 | 411 |
| Choe ( | 2011 | Korea | IV | MIV | NA | 2009-2010 | ≥1 d | 17,570,000 | 22 |
| Liang ( | 2011 | China | IV | IV vaccine | Split-virion vaccine | 2009-2010 | <80 d | 89,600,000 | 8 |
| Mayet ( | 2011 | French | IV | MIV | Inactivated vaccine | 2009-2010 | 22 d | 49,138 | 1 |
| Souayah ( | 2011(a) | U.S. | IV | IV vaccine | NA | 2006-2009 | ≥1 d | 173,000,000 | 166 |
| Souayah | 2011(b) | U.S. | HPV | HPV vaccine | NA | 2006-2009 | ≥1 d | 8,600,000 | 69 |
| Vidal ( | 2011 | Mexico | IV | IV vaccine | NA | 2009-2010 | 0-42 d | 45,490,501 | 14 |
| Banzhoff ( | 2011 | European | IV | MIV | Inactivated vaccine | 2009-2010 | 0-42 d | 11,000,000 | 22 |
| Vellozzi ( | 2010 | U.S. | IV | MIV | NA | 2009-2010 | 0-42 d | 82,400,000 | 99 |
| Burwen ( | 2010 | U.S. | IV | TIV | Inactivated vaccine | 2000-2001 | 0-98 d | 22,200,000 | 238 |
| Vellozzi ( | 2009 | U.S. | IV | TIV | Inactivated vaccine | 1990-2005 | NA | 747,070,979 | 581 |
| Nakayama ( | 2007(a) | Japan | IV | IV vaccine | Inactivated vaccine | 1994-2004 | NA | 38,020,000 | 9 |
| Nakayama | 2007(b) | Japan | Rubella virus | Rubella vaccine | Live attenuated vaccine | 1994-2004 | NA | 4,000,000 | 1 |
| Bino ( | 2003 | European | Measles and rubella viruses | Measles-rubella vaccine | Live attenuated vaccine | 1991-2001 | NA | 867,000 | 1 |
| Patja ( | 2001 | Finland | Measles, mumps and rubella viruses | MMR | NA | 1982-1986 | ≥1 d | 630,000 | 20 |
| Hurwitz ( | 1981 | U.S. | IV | IV vaccine | NA | 1978-1979 | 0-56 d | 12,500,000 | 13 |
| Safranek ( | 1991 | U.S. | IV | IV vaccine | NA | 1976 | 0-42 d | 3,822,370 | 45 |
| Greene ( | 2012(a) | U.S. | IV | IV vaccine | NA | 2009-2010 | 0-127 d | 1,480,135 | 31 |
| Greene | 2012(b) | U.S. | IV | TIV | NA | 2009-2010 | 0-84 d | 1,724,570 | 39 |
| Moro ( | 2020 | U.S. | IV | TIV | Inactivated vaccine | 2011-2019 | ≥1 d | 113,100,000 | 61 |
| Huang ( | 2012 | China | IV | IV vaccine | Inactivated vaccine | 2009-2010 | ≥1 d | 5688517 | 19 |
| Álvarez ( | 2015 | Latin | IV | IV vaccine | NA | 2009-2010 | 0-45 d | 143,835,616 | 105 |
| Arya ( | 2019 | U.S. | IV | IV vaccine | NA | 2015-2016 | 0-42 d | 13,366,005 | 95 |
| Andrews ( | 2017 | U.K. | HPV | HPV vaccine | NA | 2007-2016 | 0-91 d | 10,400,000 | 9 |
| Haber ( | 2016 | U.S. | IV | QIV | Inactivated vaccine | 2013-2015 | 0-24 d | 70,000,000 | 13 |
| Haber ( | 2015 | U.S. | IV | QIV | Live attenuated vaccine | 2013-2014 | 7 d, 9 d | 12,700,000 | 2 |
| Benedetti ( | 2015 | Italy | IV | IV vaccine | NA | 2010-2011 | ≥1 d | 19,846,068 | 365 |
| Moro ( | 2015 | U.S. | IV | TIV | Inactivated vaccine | 2013-2015 | 6 d, 9 d, 22 d | 5,600,000 | 4 |
| Esteghamati ( | 2008 | Iran | Measles, mumps, rubella | MMR | NA | 2002-2004 | ≥1 d | 7,042,254 | 25 |
| Izurieta ( | 2005 | U.S. | IV | TIV | Live attenuated vaccine | 2003-2005 | ≥1 d | 2,500,000 | 2 |
HPV, human papilloma virus; MIV, monovalent influenza vaccine; QIV, quadrivalent influenza vaccine; TIV, trivalent influenza vaccine; IV, influenza virus; MMR, measles-mumps-rubella vaccine; N, number; NA, not available.
Figure 2Pooled background rates of Guillain-Barré syndrome during mass immunization. CI, confidence interval.
Subgroup analysis and trim-fill analysis of GBS incidence (per million persons).
| Subgroup | N of studies | N of participants | Pooled rate and 95% CI |
| Egger’s test ( | Adjusted pooled rate and 95% CI* | |
|---|---|---|---|---|---|---|---|
| Total | 58 | 2,110,441,600 | 5.29 (3.66, 6.93) | 98 | 6.90 (<0.001) | 1.71 (0, 3.96) | |
| Duration of follow-up | Six weeks after vaccination | 32 | 817,821,271 | 3.09 (2.67, 3.51) | 96 | 8.11 (<0.001) | 1.89 (1.48, 2.30) |
| Target virus | |||||||
| HPV | 7 | 34,900,559 | 2.44 (0.97, 3.91) | 92 | 2.55 (0.051) | 2.10 (0.54, 3.66) | |
| IV | 45 | 2,006,470,200 | 2.77 (2.47, 3.07) | 98 | 6.45 (<0.001) | 1.39 (1.07, 1.72) | |
| MR | 2 | 7,909,254 | 2.52 (0.19, 4.85) | 68 | NA | NA | |
| Valence of vaccines | |||||||
| Monovalent | 9 | 252,770,647 | 3.98 (2.65, 5.32) | 98 | 2.24 (0.060) | 3.95 (2.63, 5.28) | |
| Trivalent | 14 | 1,000,233,168 | 1.94 (1.46, 2.41) | 97 | 2.62 (0.022) | 0.98 (0.47, 1.49) | |
| Quadrivalent | 2 | 82,700,000 | 0.18 (0.09, 0.27) | 0 | NA | NA | |
| Type of vaccines | |||||||
| Inactivated vaccine | 20 | 1,209,873,878 | 5.01 (2.29, 7.73) | 97 | 2.96 (0.008) | 1.05 (0, 4.72) | |
| Live-attenuated vaccine | 7 | 116,875,619 | 0.68 (0.17, 1.20) | 86 | 0.36 (0.730) | 0.65 (0.15, 1.14) | |
| Split-virion vaccine | 1 | 89,600,000 | 0.09 (0.03, 0.15) | NA | NA | NA | |
| Recombinant vaccine | 1 | 3,390,376 | 0.59 (0, 1.41) | NA | NA | NA | |
| Adjuvants | |||||||
| AS03 | 3 | 6,012,933 | 5.40 (3.54, 7.26) | 0 | 0.54 (0.687) | 5.37 (3.51, 7.22) | |
| MF59 | 1 | 11,000,000 | 2.00 (1.17, 2.83) | NA | NA | NA | |
| Ethnicity | |||||||
| Caucasian | 51 | 1,870,463,083 | 5.89 (4.05, 7.72) | 97 | 6.19 (<0.001) | 1.90 (0, 4.41) | |
| Asian | 7 | 239,978,517 | 0.61 (0.32, 0.91) | 95 | 3.80 (0.013) | 0.46 (0.11, 0.82) | |
| Age | |||||||
| <18 | 6 | 10,884,949 | 7.26 (3.11, 11.41) | 86 | 2.37 (0.077) | NA | |
| 18~59 | 3 | 279,909,637 | 0.99 (0.24, 1.73) | 80 | 4.77 (0.131) | NA | |
| ≥60 | 5 | 376,783,923 | 6.06 (2.51, 9.61) | 99 | 3.75 (0.033) | 4.33 (1.42, 7.25) | |
| Gender | |||||||
| Men | 3 | 10,541,605 | 6.31 (0.81, 11.82) | 93 | 3.08 (0.200) | NA | |
| Women | 5 | 25,618,567 | 6.41 (2.53, 10.30) | 94 | 3.27 (0.047) | NA | |
*Trim-fill analysis; CI, confidence interval; HPV, Human papilloma virus; IV, Influenza vaccine; bOPV, Bivalent oral polio vaccine; MR, Measles-rubella; MMR, Measles-mumps-rubella; N, number; NA, not applied.
Figure 3Funnel plot for publication bias analysis.