The Characteristics of COVID-19 Vaccine-Associated Uveitis: A Summative Systematic Review
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Protocol and Database Search
2.2. Eligibility Criteria
2.3. Screening and Study Selection
2.4. Data Extraction
2.5. Data Synthesis
3. Results
3.1. Search Results
3.2. Baseline Characteristics of Studies Reporting COVID-19 VAU
3.3. Sociodemographic and Clinical Characteristics of VAU Cases
3.3.1. Age and Gender
3.3.2. Medical History
3.4. Vaccine- and Outcome-Related Characteristics
3.4.1. Type and Dose of COVID-19 Vaccines
3.4.2. Clinical Presentation
3.4.3. The Nature of the Reported VAU and Disease Laterality
3.4.4. Disease Course, Location, Nature, and Underlying Cause of VAU
3.5. Management and Treatment Outcomes
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
Database | No. | Search Query | Results |
---|---|---|---|
PubMed [date of search: 27 July 2022] | |||
#1 | (“COVID-19”[Mesh] OR “SARS-CoV-2”[Mesh] OR 2019-ncov*[tiab] OR 2019ncov*[tiab] OR 2019-novel-cov*[tiab] OR coronavirus-2*[tiab] OR coronavirus-disease-19*[tiab] OR corona-virus-disease-19*[tiab] OR coronavirus-disease-20*[tiab] OR corona-virus-disease-20*[tiab] OR COVID-19*[tiab] OR COVID19*[tiab] OR COVID-20*[tiab] OR COVID20*[tiab] OR ncov-2019*[tiab] OR ncov2019*[tiab] OR new-coronavirus[tiab] OR new-corona-virus[tiab] OR novel-coronavirus[tiab] OR novel-corona-virus[tiab] OR SARS-2*[tiab] OR SARS2*[tiab] OR SARS-CoV-19*[tiab] OR SARS-CoV19*[tiab] OR SARSCoV19*[tiab] OR SARSCoV-19*[tiab] OR SARS-CoV-2*[tiab] OR SARS-CoV2*[tiab] OR SARSCoV2*[tiab] OR SARSCoV-2*[tiab] OR ((“Coronavirus”[mh] OR “Coronavirus Infections”[mh] OR betacoronavirus[tiab] OR beta-coronavirus[tiab] OR beta-corona-virus[tiab] OR corona-virus[tiab] OR coronavirus[tiab] OR SARS*[tiab] OR severe-acute-respiratory*[tiab]) AND (2019[tiab] OR 2020[tiab] OR wuhan*[tiab] OR hubei*[tiab] OR china*[tiab] OR chinese*[tiab] OR outbreak*[tiab] OR epidemic*[tiab] OR pandemic*[tiab]))) AND 2019/12:3000[dp] | 276,477 | |
#2 | Uveiti* OR choroiditis OR iritis OR iridocyclitis OR “Uveitis”[Mesh] OR “Choroiditis”[Mesh] OR “Iritis”[Mesh] OR “Iridocyclitis”[Mesh] | 92,380 | |
#3 | Pfizer-BioNTech OR BTN162b2 OR Sinopharm OR Sinovac OR Moderna OR AstraZeneca OR ChAdOx1 OR AZD1222 OR Janssen OR “Johnson & Johnson” OR Novavax OR CoronaVac OR Covaxin OR Convidecia OR Sputnik OR Zifivax OR Corbevax OR COVIran OR SCB-2019 OR vaccin* OR “COVID-19 Vaccines”[Mesh] | 564,424 | |
#4 | #1 AND #2 AND #3 | 95 | |
Scopus [date of search: 27 July 2022] | |||
#1 | (TITLE-ABS-KEY (COVID-19) OR TITLE-ABS-KEY (SARS-CoV-2) OR TITLE-ABS-KEY (2019-ncov*) OR TITLE-ABS-KEY (2019ncov*) OR TITLE-ABS-KEY (2019-novel-cov*) OR TITLE-ABS-KEY (coronavirus-2*) OR TITLE-ABS-KEY (coronavirus-disease-19*) OR TITLE-ABS-KEY (corona-virus-disease-19*) OR TITLE-ABS-KEY (coronavirus-disease-20*) OR TITLE-ABS-KEY (corona-virus-disease-20*) OR TITLE-ABS-KEY (COVID-19*) OR TITLE-ABS-KEY (COVID19*) OR TITLE-ABS-KEY (COVID-20*) OR TITLE-ABS-KEY (COVID20*) OR TITLE-ABS-KEY (ncov-2019*) OR TITLE-ABS-KEY (ncov2019*) OR TITLE-ABS-KEY (new-coronavirus) OR TITLE-ABS-KEY (new-corona-virus) OR TITLE-ABS-KEY (novel-coronavirus) OR TITLE-ABS-KEY (novel-corona-virus) OR TITLE-ABS-KEY (sars-2*) OR TITLE-ABS-KEY (sars2*) OR TITLE-ABS-KEY (SARS-CoV-19*) OR TITLE-ABS-KEY (SARS-CoV19) OR TITLE-ABS-KEY (SARSCoV19*) OR TITLE-ABS-KEY (SARSCoV-19*) OR TITLE-ABS-KEY (SARS-CoV-2*) OR TITLE-ABS-KEY (SARS-CoV2*) OR TITLE-ABS-KEY (SARSCoV2*) OR TITLE-ABS-KEY (SARSCoV-2*) OR TITLE-ABS-KEY (coronavirus) OR TITLE-ABS-KEY (coronavirus AND infections) OR TITLE-ABS-KEY (betacoronavirus) OR TITLE-ABS-KEY (beta-coronavirus) OR TITLE-ABS-KEY (beta-corona-virus) OR TITLE-ABS-KEY (corona-virus) OR TITLE-ABS-KEY (coronavirus) OR TITLE-ABS-KEY (sars*)) | 414,003 | |
#2 | (TITLE-ABS-KEY (uveiti) OR TITLE-ABS-KEY (choroiditis) OR TITLE-ABS-KEY (iritis) OR TITLE-ABS-KEY (iridocyclitis)) | 43,658 | |
#3 | (TITLE-ABS-KEY (pfizer-biontech) OR TITLE-ABS-KEY (btn162b2) OR TITLE-ABS-KEY (sinopharm) OR TITLE-ABS-KEY (sinovac) OR TITLE-ABS-KEY (moderna) OR TITLE-ABS-KEY (astrazeneca) OR TITLE-ABS-KEY (chadox1) OR TITLE-ABS-KEY (azd1222) OR TITLE-ABS-KEY (janssen) OR TITLE-ABS-KEY (johnson AND & AND johnson) OR TITLE-ABS-KEY (novavax) OR TITLE-ABS-KEY (coronavac) OR TITLE-ABS-KEY (covaxin) OR TITLE-ABS-KEY (convidecia) OR TITLE-ABS-KEY (sputnik) OR TITLE-ABS-KEY (zifivax) OR TITLE-ABS-KEY (corbevax) OR TITLE-ABS-KEY (coviran) OR TITLE-ABS-KEY (scb-2019) OR TITLE-ABS-KEY (vaccin*) OR TITLE-ABS-KEY (COVID-19 AND vaccines)) | 659,050 | |
#4 | #1 AND #2 AND #3 | 92 | |
EMBASE [date of search: 27 July 2022] | |||
#1 | COVID 19’:ti,ab,kw OR ‘SARS CoV 2’:ti,ab,kw OR ‘2019 ncov’:ti,ab,kw OR 2019ncov:ti,ab,kw OR ‘2019 novel cov’:ti,ab,kw OR ‘coronavirus 2’:ti,ab,kw OR ‘coronavirus disease 19*’:ti,ab,kw OR ‘corona virus disease 19*’:ti,ab,kw OR ‘coronavirus disease 20*’:ti,ab,kw OR ‘corona virus disease 20*’:ti,ab,kw OR ‘COVID 19*’:ti,ab,kw OR COVID19*:ti,ab,kw OR ‘COVID 20*’:ti,ab,kw OR COVID20*:ti,ab,kw OR ‘ncov 2019*’:ti,ab,kw OR ncov2019*:ti,ab,kw OR ‘new coronavirus’:ti,ab,kw OR ‘new coronavirus’:ti,ab,kw OR ‘novel coronavirus’:ti,ab,kw OR ‘novel corona virus’:ti,ab,kw OR ‘sars 2*’:ti,ab,kw OR sars2*:ti,ab,kw OR ‘SARS CoV 19*’:ti,ab,kw OR ‘SARS CoV19*’:ti,ab,kw OR SARSCoV19*:ti,ab,kw OR ‘SARSCoV 19*’:ti,ab,kw OR ‘SARS CoV2*’:ti,ab,kw OR SARSCoV2*:ti,ab,kw OR ‘SARSCoV 2*’:ti,ab,kw OR ‘coronavirus infections’:ti,ab,kw OR betacoronavirus:ti,ab,kw OR ‘beta coronavirus’:ti,ab,kw OR ‘beta coronavirus’:ti,ab,kw OR ‘corona virus’:ti,ab,kw OR coronavirus:ti,ab,kw | 302,489 | |
#2 | coronavirus disease 2019’/exp OR ‘severe acute respiratory syndrome coronavirus 2’/exp OR ‘coronavirinae’/exp | 280,492 | |
#3 | #1 OR #2 | 333,874 | |
#4 | pfizer biontech’:ti,ab,kw OR btn162b2:ti,ab,kw OR sinopharm:ti,ab,kw OR sinovac:ti,ab,kw OR moderna:ti,ab,kw OR astrazeneca:ti,ab,kw OR chadox1:ti,ab,kw OR azd1222:ti,ab,kw OR janssen:ti,ab,kw OR ‘johnson & johnson’:ti,ab,kw OR novavax:ti,ab,kw OR coronavac:ti,ab,kw OR covaxin:ti,ab,kw OR convidecia:ti,ab,kw OR sputnik:ti,ab,kw OR zifivax:ti,ab,kw OR corbevax:ti,ab,kw OR coviran:ti,ab,kw OR ‘scb 2019’:ti,ab,kw OR vaccin*:ti,ab,kw OR ‘COVID-19 vaccines’:ti,ab,kw | 492,172 | |
#5 | SARS-CoV-2 vaccine’/exp OR ‘pfizer biontech’/exp OR ‘covilo’/exp OR ‘coronavac’/exp OR ‘elasomeran’/exp OR ‘vaxzevria’/exp OR ‘ad26.cov2.s vaccine’/exp OR ‘nvx-cov2373 vaccine’/exp OR ‘covaxin’/exp OR ‘convidecia’/exp OR ‘zifivax’/exp OR ‘corbevax’/exp OR ‘coviran barekat’/exp | 21,790 | |
#6 | #4 OR #5 | 494,823 | |
#7 | uveiti:ti,ab,kw OR choroiditis:ti,ab,kw OR iridocyclitis:ti,ab,kw OR uveitis:ti,ab,kw | 34,836 | |
#8 | uveitis’/exp OR ‘choroiditis’/exp OR ‘iritis’/exp OR ‘iridocyclitis’/exp | 71,059 | |
#9 | #7 OR #8 | 75,142 | |
#10 | #3 AND #6 AND #9 | 148 | |
Web of Science [date of search: 27 July 2022] | |||
#1 | COVID-19 (All Fields) or SARS-CoV-2 (All Fields) or 2019-ncov* (All Fields) or 2019ncov* (All Fields) or 2019-novel-cov* (All Fields) or coronavirus-2* (All Fields) or coronavirus-disease-19* (All Fields) or corona-virus-disease-19* (All Fields) or oronavirus-disease-20* (All Fields) or corona-virus-disease-20* (All Fields) or COVID-19* (All Fields) or COVID19* (All Fields) or COVID-20* (All Fields) or COVID20* (All Fields) or ncov-2019* (All Fields) or ncov2019* (All Fields) or new-coronavirus (All Fields) or new-corona-virus (All Fields) or novel-coronavirus (All Fields) or novel-corona-virus (All Fields) or sars-2* (All Fields) or sars2* (All Fields) or SARS-CoV-19* (All Fields) or SARS-CoV19* (All Fields) or SARSCoV19* (All Fields) or SARSCoV-19* (All Fields) or SARS-CoV-2* (All Fields) or SARS-CoV2* (All Fields) or SARSCoV2* (All Fields) or SARSCoV-2* (All Fields) or Coronavirus (All Fields) or Coronavirus Infections (All Fields) or betacoronavirus (All Fields) or beta-coronavirus (All Fields) or beta-corona-virus (All Fields) or corona-virus (All Fields) or coronavirus (All Fields) or sars* (All Fields) | 371,351 | |
#2 | PfizerBioNTech (All Fields) or BTN162b2 (All Fields) or Sinopharm (All Fields) or Sinovac (All Fields) or Moderna (All Fields) or AstraZeneca (All Fields) or ChAdOx1 (All Fields) or AZD1222 (All Fields) or Janssen (All Fields) or Johnson Johnson (All Fields) or Novavax (All Fields) or CoronaVac (All Fields) or Covaxin (All Fields) or Convidecia (All Fields) or Sputnik (All Fields) or Zifivax (All Fields) or Corbevax (All Fields) or COVIran (All Fields) or SCB-2019 (All Fields) or vaccin (All Fields) or COVID19 Vaccines (All Fields) | 766,301 | |
#3 | Uveiti (All Fields) or choroiditis (All Fields) or iritis (All Fields) or iridocyclitis (All Fields) | 3452 | |
#4 | #1 AND #2 AND #3 | 3 | |
CENTRAL [date of search: 27 July 2022] | |||
#1 | (COVID-19):ti,ab,kw OR (SARS-CoV-2):ti,ab,kw OR (“coronavirus infection”):ti,ab,kw OR (novel-coronavirus):ti,ab,kw OR (sars-2):ti,ab,kw | 11,673 | |
#2 | (Coronavirus Infections):ti,ab,kw OR (betacoronavirus):ti,ab,kw AND (COVID20):ti,ab,kw AND (new-coronavirus):ti,ab,kw AND (SARSCoV2):ti,ab,kw | 1291 | |
#3 | #1 OR #2 | 11,710 | |
#4 | (“uveitis”):ti,ab,kw OR (choroiditis):ti,ab,kw OR (iritis):ti,ab,kw OR (iridocyclitis):ti,ab,kw | 1596 | |
#5 | (Pfizer-BioNTech):ti,ab,kw OR (BTN162b2):ti,ab,kw OR (Sinopharm):ti,ab,kw OR (Sinovac):ti,ab,kw OR (Moderna):ti,ab,kw | 331 | |
#6 | (AstraZeneca):ti,ab,kw OR (ChAdOx1):ti,ab,kw OR (AZD1222):ti,ab,kw OR (Janssen):ti,ab,kw OR (Johnson & Johnson):ti,ab,kw | 3752 | |
#7 | (Novavax):ti,ab,kw OR (CoronaVac):ti,ab,kw OR (Covaxin):ti,ab,kw OR (Convidecia):ti,ab,kw OR (Sputnik):ti,ab,kw | 104 | |
#8 | (Zifivax):ti,ab,kw OR (Corbevax):ti,ab,kw OR (COVIran):ti,ab,kw OR (SCB-2019):ti,ab,kw OR (COVID-19 Vaccines):ti,ab,kw | 663 | |
#9 | #5 OR #6 OR #7 OR #8 | 4582 | |
#10 | #3 AND #4 AND #9 | 0 | |
Google Scholar [date of search: 26 July 2022] | |||
With all of the words | COVID vaccine | ||
With the exact phrase | |||
With at least one of the words | Uveitis choroiditis iritis iridocyclitis | ||
Total | 200 |
Author (YOP) | N | T | Treatment |
---|---|---|---|
Accorinti (2022) | 1 | 1 | Oral, IV, and periocular corticosteroids |
Achiron (2022) | 1 | 1 | Bulbar triamcinolone (40 mg/mL; 1 mL) + systemic prednisolone (starting from 60 mg and tapering down 10 mg every 2–3 days)/topical prednisolone acetate eye drops (10 mg/mL)/cyclopentolate eye drops/prednisolone eye gel |
Al-Allaf (2022) | 1 | 1 | Triamcinolone drops and Azathioprine (50 mg) |
Alhamazani (2022) | 1 | 1 | Topical prednisolone acetate 1% + cyclopentolate |
Brunet de Courssou (2022) | 1 | 1 | Peribulbar injections of dexamethasone 8 mg + 3 intravenous pulses of methylprednisolone 15 mg/kg/day/ + oral prednisone |
Chen (2022a) | 1 | 1 | Periocular injections of triamcinolone acetonide 40 mg |
De Carvalho (2022) | 1 | 1 | Steroid |
De Domingo (2022) | 1 | 1 | Steroid |
Ishay (2021) | 1 | 1 | Pulse intravenous prednisolone + topical steroid therapy |
Duran (2022) | 1 | 1 | Topical 0.1% dexamethasone 8 × 1, 1% cycloplegic drops 3 × 1 and 0.1% dexamethasone ointment 1 × 1 nightly were started. |
ElSheikh (2021) | 1 | 1 | Topical prednisolone acetate 1% every 2 h and cyclopentolate hydrochloride three times daily. |
Lee (2022) | 1 | 1 | 1g of intravenous methylprednisolone daily for 3 days, followed by oral prednisolone with a tapering dosage |
Gedik (2022) | 1 | 1 | Topical steroid eye drops, cycloplegin eye drops and anti-glaucomata eye drops |
Goyal (2021) | 1 | 1 | oral prednisolone 100 mg daily |
Hébert (2022) | 1 | 1 | Prednisolone 1%, cyclopentolate, timolol, dexamethasone ointment, oral prednisone |
Hwang (2022) | 1 | 1 | Topical dexamethasone, atropine sulfate eye drops, and systemic prednisone |
Jain (2021) | 1 | 1 | Topical steroids and cycloplegics. |
K. Joo (2022) | 1 | 1 | Oral prednisolone |
Kim (2022) | 1 | 1 | Installation of 0.5%loteprednol etabonate + steroid pulse therapy |
Koong (2021) | 1 | 1 | Pulsed intravenous methylprednisolone |
Papasavvas (2021) | 1 | 1 | Capsaicin |
Ding (2022) | 1 | 1 | Steroid |
Lee (2022) | 1 | 1 | Systemic prednisone and mycophenolate mofetil |
Sai (2022) | 1 | 1 | Topical difluprednate four times a day with gradual taper over 6 weeks with continued bimonthly dose of 40 mg adalimumab and weekly dose of 25 mg methotrexate |
Matsuo (2022) | 1 | 1 | 0.1% betamethasone eye drops + oral prednisolone 20 mg daily |
Mishra (2021) | 1 | 1 | Oral corticosteroids Tablets. Prednisolone 40 mg/day and was added then Table Prednisolone was tapered over a period of 6 weeks. |
Mudie (2021) | 1 | 1 | 50 mg/day of oral prednisone and her difluprednate was increased to every 2 h |
Pan (2021) | 1 | 1 | Triamcinolone acetonide (40 mg, periocular injection) and oral prednisone (20 mg once a day). |
Papasavvas (2021) | 1 | 1 | 5 days of oral prednisone (1 mg/kg) and Infliximab was administered following again a loading dose scheme with positive short-term evolution |
Reddy (2021) | 1 | 1 | High-dose oral steroids of 70 mg per day which was tapered gradually. After reactivation: ongoing steroids of 20 mg per day. Her systemic steroid dosage is stepped up with the addition of topical steroids and cycloplegic |
Renisi (2021) | 1 | 1 | Dexamethasone eye drops with a cycloplegic agent (atropine 1%) |
Sangoram (2022) | 1 | 1 | Topical steroids and a cycloplegic agent. |
Santiago (2021) | 1 | 1 | Prednisone and azathioprine |
Saraceno (2021) | 1 | 1 | oral systemic prednisone (1.5 mg/kg/day) |
Singh (2022a) | 1 | 1 | Oral steroids (prednisolone 1 mg/kg/day) with slow tapering over 6 weeks. |
Yalçinkaya (2022) | 1 | 1 | IVIG (2 g/kg) and methylprednisolone (2 mg/kg) |
Yamaguchi (2022) | 1 | 1 | IV methylprednisolone (1000 mg/day) for 3 days followed by oral prednisolone (60 mg/day) |
Shilo (2022) | 1 | 1 | Oral prednisone which was tapered to a lower dose, and azathioprine treatment was initiated for a long-term effect. |
Kakarla (2022) | 1 | 1 | Topical prednisolone |
Numakura (2022) | 1 | 1 | Subcapsular injection of steroids |
Murgova (2022) | 1 | 1 | Steroids, and anti-glaucoma therapy |
Patel (2022) | 3 | 3 | Oral prednisone and topical difluorinated steroid therapy |
Lawson-Tovey (2022) | 2 | 2 | Intravitreal injection dexamethasone |
Arora (2022) | - | 1 | - |
Choi (2022) | 3 | 3 | Steroid and methotrexate |
Ortiz-Egea (2022) | 2 | 2 | Topical acyclovir, oral valaciclovir, cycloplegic, and moxifloxacin |
Nanji (2022) | 1 | 2 | Topical prednisolone acetate 1% and cyclogyl 1% |
Pang (2022) | 1 | 2 | One-time periocular triamcinolone acetonide injection and oral prednisone |
1 | 2 | Topical application of prednisolone acetate and oral prednisone | |
Ren (2022) | 1 | 2 | Systemic corticosteroid administered orally at a dose of 1 mg/kg per day |
1 | 2 | Topical steroid (prednisolone acetate), tropicamide and pirprofen eye drops | |
Cohen (2022) | 1 | 4 | Oral valacyclovir, topical dexamethasone eye |
2 | 4 | Topical dexamethasone and tropicamide | |
1 | 4 | Systemic corticosteroids (prednisone), topical dexamethasone and cycloplegic eye drops (0.5% tropicamide) | |
Aguiar (2022) | 2 | 2 | Dexamethasone, prednisolone ointment and cycloplegic agent (cyclopentolate) |
Ferreira (2022) | 1 | 4 | Systemic corticosteroid/methotrexate |
3 | 4 | Systemic corticosteroid/azathioprine | |
Chen (2022b) | 1 | 5 | Topical and periocular steroid |
2 | 5 | Systemic steroids | |
2 | 5 | Periocular steroids | |
Chew (2022) | 4 | 6 | Steroid |
2 | 6 | Sulfadiazine, Folinic acid, Pyrimethamine, Clindamycin | |
Rallis (2022) | 7 | 7 | Topical ganciclovir, oral acyclovir, and topical steroids |
Li (2022) | - | 9 | - |
Sim (2022) | 11 | 11 | Topical 1% prednisolone acetate eye drops and systemic prednisolone |
Rabinovitch (2021) | - | 21 | - |
Bolletta (2021) | 4 | 13 | Dexamethasone eye drops 2 mg/mL |
1 | 13 | Ganciclovir ophthalmic gel 0.15%, dexamethasone eye drops 2 mg/mL | |
3 | 13 | Sulfadiazine and pyrimethamine tablets, and oral prednisone | |
5 | 13 | Oral prednisone | |
Ferrand (2022) | 14 | 25 | Topical steroid |
12 | 25 | Systemic steroid | |
2 | 25 | Acyclovir | |
1 | 25 | Azathioprine | |
3 | 25 | Methotrexate | |
4 | 25 | Tocilizumab/natalizumab/Ixekizumab | |
1 | 25 | Dimethyl fumarate | |
Ozdede (2022) | - | 5 | - |
Testi (2022) | 37 | 50 | Topical Corticosteroids |
8 | 50 | Systemic Corticosteroids | |
5 | 50 | Antivirals | |
0 | 50 | NSAID | |
4 | 50 | Antibiotics | |
Tomkins-Netzer (2022) | - | 188 | - |
Barda (2021) | - | 26 | - |
Singh (2022b) | - | 1094 | - |
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Author (YOP) | Country | Design | Gender | Age | Type | Dose |
---|---|---|---|---|---|---|
Case Reports | ||||||
Accorinti (2022) [9] | Italy | Case Report | Female | 54 | Pfizer-BioNTech | First |
Achiron (2022) [10] | Finland | Case Report | Male | 17 | Pfizer-BioNTech | - |
Al-Allaf (2022) [11] | Qatar | Case Report | Male | 46 | Pfizer-BioNTech | First |
Alhamazani (2022) [12] | Saudi Arabia | Case Report | Male | 37 | Pfizer-BioNTech | First |
Brunet de Courssou (2022) [16] | France | Case Report | Female | 57 | Pfizer-BioNTech | First |
Chen (2022a) [18] | China | Case Report | Male | 19 | Sinovac | First |
De Carvalho (2022) [22] | Brazil | Case Report | Male | 51 | Oxford/AstraZeneca | First |
De Domingo (2022) [23] | Spain | Case Report | Female | 46 | Pfizer-BioNTech | Second |
Ishay (2021) [32] | Israel | Case Report | Male | 28 | Pfizer-BioNTech | First |
Duran (2022) [25] | Israel | Case Report | Female | 54 | Pfizer-BioNTech | First |
ElSheikh (2021) [26] | Egypt | Case Report | Female | 18 | Sinopharm | First |
Lee (2022) [39] | South Korea | Case Report | Female | 83 | Pfizer-BioNTech | Second |
Gedik (2022) [28] | Turkey | Case Report | Male | 47 | Pfizer-BioNTech | Second |
Goyal (2021) [29] | India | Case Report | Male | 34 | Oxford/AstraZeneca | Second |
Hébert (2022) [30] | Canada | Case Report | Male | 41 | Pfizer-BioNTech | First |
Hwang (2022) [31] | South Korea | Case Report | Female | 21 | Pfizer-BioNTech | Second |
Jain (2021) [33] | India | Case Report | Male | 27 | Oxford/AstraZeneca | First |
Joo (2022) [34] | South Korea | Case Report | Female | 50 | Moderna | First |
Kim (2022) [36] | South Korea | Case Report | Female | 72 | Oxford/AstraZeneca | First |
Koong (2021) [37] | Singapore | Case Report | Male | 54 | Pfizer-BioNTech | First |
Papasavvas (2021) [53] | Switzerland | Case Report | Female | 73 | Moderna | First |
Ding (2022) [24] | China | Case Report | Male | 33 | Sinopharm | First |
Lee (2022) [40] | USA | Case Report | Female | 25 | Moderna | Second |
Mahendradas (2022) [42] | India | Case Report | Female | 19 | Covaxin | Second |
Matsuo (2022) [43] | Japan | Case Report | Male | 34 | Pfizer-BioNTech | Second |
Mishra (2021) [44] | India | Case Report | Male | 71 | Oxford/AstraZeneca | First |
Mudie (2021) [45] | Spain | Case Report | Female | 43 | Pfizer-BioNTech | Second |
Pan (2021) [51] | China | Case Report | Female | 50 | Sinopharm | |
Papasavvas (2021) [53] | Switzerland | Case Report | Female | 43 | Pfizer-BioNTech | Second |
Reddy (2021) [57] | India | Case Report | Female | 30 | Oxford/AstraZeneca | Second |
Renisi (2021) [59] | Italy | Case Report | Male | 23 | Pfizer-BioNTech | Second |
Sangoram (2022) [60] | India | Case Report | Female | 40 | Oxford/AstraZeneca | Second |
Santiago (2021) [61] | Puerto Rico | Case Report | Male | 32 | Pfizer-BioNTech | Second |
Saraceno (2021) [62] | Brazil | Case Report | Female | 62 | Oxford/AstraZeneca | - |
Singh (2022a) [64] | India | Case Report | Male | 29 | Oxford/AstraZeneca | First |
Yalçinkaya (2022) [67] | Turkey | Case Report | Male | 12 | Pfizer-BioNTech | First |
Yamaguchi (2022) [68] | Japan | Case Report | Female | 30 | Pfizer-BioNTech | Second |
Shilo (2022) [70] | Israel | Case Report | Male | 20 | Pfizer-BioNTech | First |
Kakarla (2022) [35] | India | Case Report | Female | 15 | Covaxin | First |
Numakura (2022) [48] | Japan | Case Report | Male | 61 | Pfizer-BioNTech | First |
Murgova (2022) [46] | Bulgaria | Case Report | Female | 89 | Pfizer-BioNTech | Second |
Patel (2022) [54] | USA | Case Report | Male | 79 | Pfizer-BioNTech | Second |
Lawson-Tovey (2022) [38] | Italy | Case Report | Female | - | - | Second |
Case Series | ||||||
Author (YOP) | Country | Cases | Gender | Age | Type | Dose |
Arora (2022) [13] | India | Case 1 | Female | 20 | Oxford/AstraZeneca | First |
Case 2 | Male | 26 | Oxford/AstraZeneca | First | ||
Choi (2022) [20] | Korea | Case 1 | Male | 62 | Oxford/AstraZeneca | First |
Case 2 | Female | 79 | Pfizer-BioNTech | First | ||
Case 3 | Female | 55 | Pfizer-BioNTech | First | ||
Ortiz-Egea (2022) [49] | Spain | Case 1 | Female | 92 | Pfizer-BioNTech | First |
Case 2 | Female | 85 | Pfizer-BioNTech | First | ||
Nanji (2022) [47] | USA | Case 1 | Female | 58 | Moderna | First |
Case 2 | Female | 60 | Moderna | First | ||
Pang (2022) [52] | China | Case 1 | Female | 50 | Sinopharm | First |
Case 2 | Female | 34 | Sinopharm | Second | ||
Ren (2022) [58] | China | Case 1 | Female | 46 | Sinovac | First |
Case 2 | Female | 26 | Sinovac | First | ||
Cohen (2022) [21] | Israel | Case 1 | Female | 81 | Pfizer-BioNTech | Second |
Case 2 | Female | 64 | Pfizer-BioNTech | Second | ||
Case 3 | Male | 74 | Pfizer-BioNTech | Third | ||
Case 4 | Male | 63 | Pfizer-BioNTech | Third | ||
Aguiar (2022) [17] | Portugal | Case 1 | Female | 21 | Pfizer-BioNTech | First |
Case 2 | Male | 70 | Pfizer-BioNTech | Second | ||
De Queiroz Tavares Ferreira (2022) [5] | Brazil | Case 1 | Female | 27 | Oxford/AstraZeneca | First |
Case 2 | Male | 39 | Oxford/AstraZeneca | First | ||
Case 3 | Female | 38 | Pfizer-BioNTech | First | ||
Case 4 | Female | 32 | Sinovac | Second | ||
Chen (2022b) [19] | China | Case 1 | Male | 33 | Sinopharm | First |
Case 2 | Female | 57 | Sinovac | Second | ||
Case 3 | Male | 21 | Sinovac | First | ||
Case 4 | Female | 30 | Sinovac | Second | ||
Case 5 | Female | 28 | Sinopharm | First | ||
Chew (2022) [1] | Singapore | Case 1 | Female | 64 | Pfizer-BioNTech | Second |
Case 2 | Male | 74 | Sinopharm | Second | ||
Case 3 | Female | 31 | Pfizer-BioNTech | Second | ||
Case 4 | Female | 71 | Pfizer-BioNTech | Second | ||
Case 5 | Female | 32 | Pfizer-BioNTech | Second | ||
Case 6 | Female | 28 | Pfizer-BioNTech | Second | ||
Rallis (2022) [56] | UK | Case 1 | Female | 47 | Oxford/AstraZeneca | First |
Case 2 | Female | 48 | Oxford/AstraZeneca | First | ||
Case 3 | Male | 44 | Oxford/AstraZeneca | First | ||
Case 4 | Female | 59 | Oxford/AstraZeneca | First | ||
Case 5 | Male | 65 | Oxford/AstraZeneca | First | ||
Case 6 | Male | 95 | Pfizer-BioNTech | First | ||
Case 7 | Male | 68 | Pfizer-BioNTech | First | ||
Li (2022) [41] | China | Case 1 | Female | 48 | Sinovac | First |
Case 2 | Male | 41 | Sinovac | Third | ||
Case 3 | Male | 8 | Sinovac | First | ||
Case 4 | Female | 52 | Sinovac | Second | ||
Case 5 | Female | 55 | Sinovac | First | ||
Case 6 | Female | 67 | Sinovac | First | ||
Case 7 | Female | 46 | Sinovac | First | ||
Case 8 | Female | 57 | Sinovac | First | ||
Case 9 | Male | 22 | Sinovac | First | ||
Sim (2022) [63] | Korea | Case 1 | Female | 51 | Pfizer-BioNTech | Second |
Case 2 | Female | 21 | Pfizer-BioNTech | Second | ||
Case 3 | Male | 50 | Pfizer-BioNTech | Second | ||
Case 4 | Female | 52 | Pfizer-BioNTech | Third | ||
Case 5 | Male | 32 | Johnson & Johnson | Second | ||
Case 6 | Male | 72 | Oxford/AstraZeneca | Second | ||
Case 7 | Female | 67 | Oxford/AstraZeneca | Third | ||
Case 8 | Male | 54 | Pfizer-BioNTech | Second | ||
Case 9 | Female | 61 | Pfizer-BioNTech | Third | ||
Case 10 | Female | 63 | Pfizer-BioNTech | Second | ||
Case 11 | Female | 47 | Pfizer-BioNTech | Third | ||
Rabinovitch (2021) [55] | Israel | Case 1 | Female | 43 | Pfizer-BioNTech | First |
Case 2 | Male | 34 | Pfizer-BioNTech | First | ||
Case 3 | Female | 34 | Pfizer-BioNTech | First | ||
Case 4 | Male | 78 | Pfizer-BioNTech | Second | ||
Case 5 | Male | 53 | Pfizer-BioNTech | First | ||
Case 6 | Male | 64 | Pfizer-BioNTech | First | ||
Case 7 | Male | 68 | Pfizer-BioNTech | First | ||
Case 8 | Female | 61 | Pfizer-BioNTech | First | ||
Case 9 | Male | 59 | Pfizer-BioNTech | Second | ||
Case 10 | Male | 72 | Pfizer-BioNTech | Second | ||
Case 11 | Male | 51 | Pfizer-BioNTech | Second | ||
Case 12 | Female | 42 | Pfizer-BioNTech | Second | ||
Case 13 | Male | 74 | Pfizer-BioNTech | Second | ||
Case 14 | Male | 39 | Pfizer-BioNTech | Second | ||
Case 15 | Female | 64 | Pfizer-BioNTech | Second | ||
Case 16 | Female | 50 | Pfizer-BioNTech | Second | ||
Case 17 | Female | 23 | Pfizer-BioNTech | Second | ||
Case 18 | Female | 65 | Pfizer-BioNTech | First | ||
Case 19 | Male | 36 | Pfizer-BioNTech | Second | ||
Case 20 | Male | 41 | Pfizer-BioNTech | Second | ||
Case 21 | Female | 28 | Pfizer-BioNTech | Second | ||
Bolletta (2021) [15] | Italy | Case 1 | Male | 79 | Oxford/AstraZeneca | Second |
Case 2 | Female | 65 | Pfizer-BioNTech | Second | ||
Case 3 | Female | 42 | Oxford/AstraZeneca | Second | ||
Case 4 | Female | 52 | Pfizer-BioNTech | Second | ||
Case 5 | Male | 44 | Pfizer-BioNTech | First | ||
Case 6 | Female | 35 | Moderna | Second | ||
Case 7 | Male | 47 | Pfizer-BioNTech | First | ||
Case 8 | Female | 58 | Pfizer-BioNTech | First | ||
Case 9 | Female | 52 | Oxford/AstraZeneca | First | ||
Case 10 | Female | 44 | Pfizer-BioNTech | Second | ||
Case 11 | Female | 58 | Pfizer-BioNTech | Second | ||
Case 12 | Female | 47 | Pfizer-BioNTech | First | ||
Case 13 | Female | 68 | Pfizer-BioNTech | Second | ||
Observational Studies | ||||||
Author (YOP) | Country | Design | Male/Total | Age Mean (SD) | Type [N] | Dose [N] |
Ferrand (2022) [27] | Germany | Retrospective Cohort | 6/25 | 43.2 (13.9) | Pfizer-BioNTech [15]; Oxford/AstraZeneca [6]; Moderna [3]; Covaxin [1] | First [6]; Second [19] |
Ozdede (2022) [50] | Istanbul | Cross-Sectional | -/5 | - | Sinovac [3]; Pfizer-BioNTech [2] | - |
Testi (2022) | UK | Retrospective Cohort | 22/50 | 41.3 (13.9) | Pfizer-BioNTech [24]; Oxford/AstraZeneca [16]; Moderna [8]; Sinopharm [1]; Covaxin [1] | First [28]; Second [22] |
Tomkins-Netzer (2022) [7] | Israel | Retrospective Cohort | - | - | Pfizer-BioNTech [188] | First [100]; Second [88] |
Barda (2021) [14] | Israel | Retrospective Cohort | -/26 | - | Pfizer-BioNTech [26] | - |
Singh (2022b) [71] | USA | Retrospective registry-based | 322/1094 | 46.24 (16.93) | Pfizer-BioNTech [853]; Moderna [220]; Johnson & Johnson [21] | First [452]; Second [373]; Third [97]; Fourth [5] |
Variable | Subgroup | Number | % |
---|---|---|---|
Gender | |||
Male | 406 | 31.06 | |
Female | 901 | 68.93 | |
Age | |||
1–10 | 1 | 0.73 | |
11–20 | 8 | 5.84 | |
21–30 | 20 | 14.6 | |
31–40 | 19 | 13.87 | |
41–50 | 27 | 19.71 | |
51–60 | 23 | 16.79 | |
61–70 | 20 | 14.6 | |
71–80 | 13 | 9.49 | |
81–90 | 4 | 2.92 | |
≥91 | 2 | 1.46 | |
Vaccine Type | |||
Covaxin | 4 | 0.26 | |
Johnson & Johnson | 22 | 1.44 | |
Moderna | 237 | 15.54 | |
Oxford/AstraZeneca | 46 | 3.01 | |
Pfizer-BioNTech | 1188 | 77.9 | |
Sinovac | 11 | 0.72 | |
Sinopharm | 17 | 1.11 | |
Vaccine Dose | |||
First | 654 | 49.35 | |
Second | 562 | 42.41 | |
Third | 104 | 7.84 | |
Fourth | 5 | 0.37 |
Author (YOP) | Medical History | Total | ||
---|---|---|---|---|
Systemic [N] | Ocular [N] | Immunological [N] | ||
Accorinti (2022) | None | - | - | 1 |
Achiron (2022) | - | Uveitis [1]—RVO [1]—Iridis Rubeosis [1] | - | 1 |
Al-Allaf (2022) | HTN | - | - | 1 |
Alhamazani (2022) | - | - | - | 1 |
Brunet de Courssou (2022) | - | - | - | 1 |
Chen (2022a) | None | None | None | 1 |
De Carvalho (2022) | AS | Uveitis [1] | HLA-B27 [1] | 1 |
De Domingo (2022) | - | None | None | 1 |
Ishay (2021) | Bechet’s disease | None | Bechet’s disease [1] | 1 |
Duran (2022) | DM | None | - | 1 |
ElSheikh (2021) | - | None | JIA [1] | 1 |
Lee (2022) | HTN—Lipidemia | None | - | 1 |
Gedik (2022) | - | - | - | 1 |
Goyal (2021) | None | None | None | 1 |
Hébert (2022) | None | None | None | 1 |
Hwang (2022) | None | None | None | 1 |
Jain (2021) | - | Uveitis [1] | JIA [1] | 1 |
K. Joo (2022) | None | Allergic conjunctivitis [1] | None | 1 |
Kim (2022) | - | - | - | 1 |
Koong (2021) | DM—Lipidemia | None | None | 1 |
Papasavvas (2021) | None | Cataract [1] | None | 1 |
Ding (2022) | HTN | None | None | 1 |
Lee (2022) | - | - | None | 1 |
Sai (2022) | - | Uveitis [1] | JIA [1] | 1 |
Matsuo (2022) | - | - | - | 1 |
Mishra (2021) | DM—HTN | - | - | 1 |
Mudie (2021) | - | - | - | 1 |
Pan (2021) | - | - | - | 1 |
Papasavvas (2021) | - | VKH [1] | None | 1 |
Reddy (2021) | - | - | - | 1 |
Renisi (2021) | None | None | None | 1 |
Sangoram (2022) | None | None | None | 1 |
Santiago (2021) | None | None | None | 1 |
Saraceno (2021) | None | None | None | 1 |
Singh (2022a) | None | None | None | 1 |
Yalçinkaya (2022) | None | None | None | 1 |
Yamaguchi (2022) | None | None | None | 1 |
Shilo (2022) | None | None | None | 1 |
Kakarla (2022) | None | None | None | 1 |
Numakura (2022) | None | None | None | 1 |
Murgova (2022) | - | CRVO [1]—Cataract [1]—Glaucoma [1]—Herpetic uveitis [1] | - | 1 |
Patel (2022) | None | Cataract [1]—RD [1]—ERM [1] | None | 1 |
Lawson-Tovey (2022) | - | - | - | 1 |
Arora (2022) | - | Uveitis [2]—SLC [1] | - | 2 |
Choi (2022) | HTN [2]—DM [1]—Asthma [1] | Uveitis [2]—BRVO [1] | HLAB51 [1] | 3 |
Ortiz-Egea (2022) | - | AMD [1] | - | 2 |
Nanji (2022) | - | Uveitis [1]—OU [1] | - | 2 |
Pang (2022) | - | - | - | 2 |
Ren (2022) | - | - | - | 2 |
Cohen (2022) | None | HZO [1]—Uveitis [1] | Psoriasis [1]—RA [1] | 4 |
Aguiar (2022) | Epilepsy [1]—Asthma [1]—DM [1]—HTN [1]—Rhinitis [1] | None | None | 2 |
Ferreira (2022) | COVID-19 [2]—HTN [1] | None | None | 4 |
Chen (2022b) | AS [1] | - | - | 5 |
Chew (2022) | None | Uveitis [3]—Cataract [1]—PACG [1]—HSK [4] | HLAB51 [1] | 6 |
Rallis (2022) | - | - | - | 7 |
Li (2022) | - | - | - | 9 |
Sim (2022) | - | - | - | 11 |
Rabinovitch (2021) | AS [3]—Psoriasis [2]—Crohn’s disease [1]—Spondylarthritis [1] | Uveitis [8]—HZO [1] | - | 21 |
Bolletta (2021) | Spondylarthritis [1]—Psoriatic arthritis [1] | Uveitis [3]—VKH [2]—Toxoplasma Retinochoroiditis [2] | - | 13 |
Ferrand (2022) | - | Uveitis [19]—VKH [1] | HLAB27 [2]—MS [2]—JIA [1] | 25 |
Ozdede (2022) | - | - | Bechet’s syndrome [1] | 5 |
Testi (2022) | - | Uveitis [20]—Glaucomatocyclitic Crisis [3] | 50 | |
Tomkins-Netzer (2022) | - | - | - | 188 |
Barda (2021) | - | - | - | 26 |
Singh (2022b) | COVID-19 [9] | Uveitis [106] | AIDs [14] | 1094 |
Summary of the History of VAU Cases | ||||
Category | Disease | Number | Total | % |
Systemic Diseases | ||||
HTN | 7 | 1178 | 0.59 | |
DM | 5 | 1178 | 0.42 | |
AS | 5 | 1178 | 0.42 | |
Lipidemia | 2 | 1178 | 0.16 | |
Asthma | 2 | 1178 | 0.16 | |
Epilepsy | 1 | 1178 | 0.08 | |
Rhinitis | 1 | 1178 | 0.08 | |
COVID-19 | 11 | 1178 | 0.93 | |
Ocular Diseases | ||||
Uveitis | 170 | 1258 | 13.51 | |
VKH | 4 | 1258 | 0.32 | |
HZO | 2 | 1258 | 0.16 | |
Toxoplasma Retinochoroiditis | 2 | 1258 | 0.16 | |
Glaucoma | 5 | 1258 | 0.39 | |
Cataract | 4 | 1258 | 0.32 | |
HSK | 4 | 1258 | 0.32 | |
SLC | 1 | 1258 | 0.07 | |
BRVO | 1 | 1258 | 0.07 | |
RVO | 1 | 1258 | 0.07 | |
Iridis Rubeosis | 1 | 1258 | 0.07 | |
OU | 1 | 1258 | 0.07 | |
CRVO | 1 | 1258 | 0.07 | |
ERM | 1 | 1258 | 0.07 | |
RD | 1 | 1258 | 0.07 | |
Conjunctivitis | 1 | 1258 | 0.07 | |
AMD | 1 | 1258 | 0.07 | |
Immunological Diseases | ||||
HLA-B27 | 3 | 1170 | 0.26 | |
JIA | 4 | 1170 | 0.34 | |
Psoriasis | 3 | 1170 | 0.26 | |
HLAB51 | 2 | 1170 | 0.17 | |
MS | 2 | 1170 | 0.17 | |
Bechet’s disease | 3 | 1170 | 0.26 | |
AIDs | 14 | 1170 | 1.19 | |
RA | 1 | 1170 | 0.08 | |
Crohn’s disease | 2 | 1170 | 0.17 | |
Spondylarthritis | 1 | 1170 | 0.08 |
Author (YOP) | Eye Symptoms/Signs [N] | Total | |
---|---|---|---|
Accorinti (2022) | Central scotoma [1] | 1 | |
Achiron (2022) | Vision loss [1] | 1 | |
Al-Allaf (2022) | Pain [1]—Erythema [1]—Photophobia [1]—Blurry vision [1] | 1 | |
Alhamazani (2022) | Pain [1]—Photophobia [1]—Redness [1]—Diminished Vision [1] | 1 | |
Brunet de Courssou (2022) | Headache [1]—Blurry vision [1] | 1 | |
Chen (2022a) | Headache [1]—Blurry vision [1]—Fatigue [1] | 1 | |
De Carvalho (2022) | Pain [1]—Redness [1]—Foreign Body Sensation [1] | 1 | |
De Domingo (2022) | Blurry vision [1] | 1 | |
Ishay (2021) | Pain [1]—Redness [1]—Blurry vision [1] | 1 | |
Duran (2022) | Blurry vision [1]—Redness [1]—Headache [1] | 1 | |
ElSheikh (2021) | Blurry vision [1]—Photophobia [1] | 1 | |
Lee (2022) | Vision loss [1] | 1 | |
Gedik (2022) | Pain [1]—Diminished vision [1] | 1 | |
Goyal (2021) | Vision loss [1] | 1 | |
Hébert (2022) | Vision loss [1]—Floaters [1] | 1 | |
Hwang (2022) | Erythema [1] | 1 | |
Jain (2021) | Pain [1]—Redness [1] | 1 | |
K. Joo (2022) | Pain [1]—Blurry vision [1]—Headache [1]—Eyelid swelling [1] | 1 | |
Kim (2022) | Vision loss [1]—Headache [1] | 1 | |
Koong (2021) | Blurry vision [1] | 1 | |
Papasavvas (2021) | Pain [1] | 1 | |
Ding (2022) | Vision loss [1] | 1 | |
Lee (2022) | Pain [1]—Blurry vision [1] | 1 | |
Sai (2022) | Blurry vision [1]—Floaters [1] | 1 | |
Matsuo (2022) | Blurry vision [1] | 1 | |
Mishra (2021) | Pain [1]—Diminished vision [1] | 1 | |
Mudie (2021) | Pain [1]—Photophobia [1]—Redness [1]—Vision loss [1] | 1 | |
Pan (2021) | Vision loss [1] | 1 | |
Papasavvas (2021) | Pain [1]—Diminished vision [1]—Photophobia [1] | 1 | |
Reddy (2021) | Blurry vision [1] | 1 | |
Renisi (2021) | Pain [1]—Redness [1]—Diminished vision [1]—Photophobia [1] | 1 | |
Sangoram (2022) | Blurry vision [1]—Pain [1] | 1 | |
Santiago (2021) | Redness [1] | 1 | |
Saraceno (2021) | Vision loss [1] | 1 | |
Singh (2022a) | Diminished vision [1] | 1 | |
Yalçinkaya (2022) | Redness [1] | 1 | |
Yamaguchi (2022) | Metamorphopsia [1]—Diminished vision [1] | 1 | |
Shilo (2022) | Photophobia [1]—Vision loss [1] | 1 | |
Kakarla (2022) | Blurry vision [1]—Headache [1] | 1 | |
Numakura (2022) | Blurry vision [1] | 1 | |
Murgova (2022) | Metamorphopsia [1] | 1 | |
Patel (2022) | Pain [1]—Blurry vision [1]—Floaters [1] | 1 | |
Lawson-Tovey (2022) | - | 1 | |
Arora (2022) | Diminished vision [1]—Floaters [1] | 2 | |
Choi (2022) | Diminished vision [3] | 3 | |
Ortiz-Egea (2022) | Pain [2]—Redness [1] | 2 | |
Nanji (2022) | Pain [2]—Redness [2] | 2 | |
Pang (2022) | Blurry vision [1] | 2 | |
Ren (2022) | Diminished vision [1]—Blurry vision [1]—Redness [1]—Pain [1] | 2 | |
Cohen (2022) | Pain [1]—Photophobia [1]—Diminished vision [1]—Floaters [1] | 4 | |
Aguiar (2022) | Redness [2]—Photophobia [2]—Pain [1]—Diminished vision [1] | 2 | |
Ferreira (2022) | Vision loss [3]—Headache [4]—Blurry vision [1]—Hyperemia [1] | 4 | |
Chen (2022b) | Blurry vision [5]—Redness [3] | 5 | |
Chew (2022) | Blurry vision [6]—Redness [3]—Pain [1] | 6 | |
Rallis (2022) | Diminished vision [7]—Pain [7] | 7 | |
Li (2022) | - | 9 | |
Sim (2022) | - | 11 | |
Rabinovitch (2021) | Redness [21]—Pain [21]—Blurry vision [21]—Photophobia [21]—Photopsia [2]—Diminished vision [2] | 21 | |
Bolletta (2021) | Blurry vision [12]—Redness [3]—Pain [2]—Photophobia [1] | 13 | |
Ferrand (2022) | - | 25 | |
Ozdede (2022) | - | 5 | |
Testi (2022) | - | 50 | |
Tomkins-Netzer (2022) | - | 188 | |
Barda (2021) | - | 26 | |
Singh (2022b) | Pain [270]—Redness [839]—Diminished vision [262]—Photophobia [95]—Floaters [21]—Lacrimation [22] | 1094 | |
Summary of Symptoms/Signs of VAU | |||
Presentation | Number | Total | % |
Central Scotoma | 1 | 1211 | 0.08 |
Vision Loss | 13 | 1211 | 1.07 |
Pain | 53 | 1211 | 4.37 |
Erythema | 2 | 1211 | 0.16 |
Photophobia | 127 | 1211 | 10.48 |
Blurry vision | 64 | 1211 | 5.28 |
Redness | 884 | 1211 | 72.99 |
Diminished vision | 285 | 1211 | 23.53 |
Headache | 10 | 1211 | 0.82 |
Foreign Body Sensation | 1 | 1211 | 0.08 |
Floaters | 27 | 1211 | 2.22 |
Eyelid swelling | 1 | 1211 | 0.08 |
Photopsia | 2 | 1211 | 0.16 |
Metamorphopsia | 2 | 1211 | 0.16 |
Outcome | Category | Number | Total | % |
---|---|---|---|---|
Type of VAU | ||||
VKH | 16 | 1476 | 1.08 | |
Choroiditis | 9 | 1476 | 0.6 | |
Iridocyclitis | 1 | 1476 | 0.06 | |
Iritis | 2 | 1476 | 0.13 | |
Kerato-uveitis | 1 | 1476 | 0.06 | |
Retinitis | 2 | 1476 | 0.13 | |
Uveitis | 1440 | 1476 | 97.56 | |
Retinochoroiditis | 3 | 1476 | 0.2 | |
Pars planitis | 2 | 1476 | 0.13 | |
Laterality | ||||
Right | 126 | 390 | 32.3 | |
Left | 135 | 390 | 34.61 | |
Unilateral | 303 | 390 | 77.69 | |
Bilateral | 86 | 390 | 22.05 | |
Course | ||||
Acute | 234 | 326 | 71.77 | |
Chronic | 92 | 326 | 28.22 | |
Location | ||||
Anterior | 799 | 1476 | 54.13 | |
Intermediate | 14 | 1476 | 0.94 | |
Posterior | 78 | 1476 | 5.28 | |
Panuveitis | 148 | 1476 | 10.02 | |
Onset | ||||
New-onset | 244 | 349 | 69.92 | |
Reactivation | 105 | 349 | 30.08 | |
Nature | ||||
Autoimmune | 4 | 299 | 1.34 | |
Granulomatous | 6 | 299 | 2.01 | |
Inflammatory [non-infectious] | 264 | 299 | 88.29 | |
Infectious | 25 | 299 | 8.36 | |
Underlying Cause | ||||
Behcet’s disease | 4 | 245 | 1.63 | |
CMV | 1 | 245 | 0.4 | |
HSV-1 | 9 | 245 | 3.67 | |
HZO | 3 | 245 | 1.22 | |
JIA | 4 | 245 | 1.63 | |
MIS-C | 1 | 245 | 0.4 | |
Retinal vasculitis | 1 | 245 | 0.4 | |
Sarcoidosis | 3 | 245 | 1.22 | |
Toxoplasma | 4 | 245 | 1.63 | |
VKH | 18 | 245 | 7.34 | |
VZV | 3 | 245 | 1.22 | |
Psoriasis | 1 | 245 | 0.4 | |
Spondylarthritis | 1 | 245 | 0.4 | |
Idiopathic | 106 | 245 | 43.26 | |
HLA B27 | 12 | 245 | 4.89 | |
Fuchs heterochromic iridocyclitis | 2 | 245 | 0.81 | |
Posner–Schlossman syndrome | 1 | 245 | 0.4 | |
Duration from vaccination to uveitis attack (days) | ||||
Mean—SD | 9.61 | 8.07 | ||
Min—Max | 1 | 42 | ||
Observations | 108 |
Outcome | Category | Number | Total | % | Duration (days) |
---|---|---|---|---|---|
Complications | |||||
CME | 2 | 83 | 2.41 | 60 | |
Choroidal depigmentation | 2 | 83 | 2.41 | 14 | |
Inflammatory glaucoma | 1 | 83 | 1.2 | - | |
Peripheral neovascularization | 1 | 83 | 1.2 | 135 | |
Retinal necrosis | 1 | 83 | 1.2 | - | |
Recurrence of choroidal thickening | 1 | 83 | 1.2 | 21 | |
ME | 2 | 83 | 2.41 | 180 | |
Uveitis exacerbation | 1 | 83 | 1.2 | - | |
Vitritis | 1 | 83 | 1.2 | - | |
Transient IOP elevation | 3 | 83 | 3.61 | - | |
Nummular Corneal Lesions | 3 | 83 | 3.61 | - | |
Treatment Outcome | |||||
Complete Resolution | 174 | 193 | 90.15 | - | |
Partial Improvement | 19 | 193 | 9.85 | - |
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Cherif, Y.Y.S.; Djeffal, C.; Abu Serhan, H.; Elnahhas, A.; Yousef, H.; Katamesh, B.E.; Abdelazeem, B.; Abdelaal, A. The Characteristics of COVID-19 Vaccine-Associated Uveitis: A Summative Systematic Review. Vaccines 2023, 11, 69. https://doi.org/10.3390/vaccines11010069
Cherif YYS, Djeffal C, Abu Serhan H, Elnahhas A, Yousef H, Katamesh BE, Abdelazeem B, Abdelaal A. The Characteristics of COVID-19 Vaccine-Associated Uveitis: A Summative Systematic Review. Vaccines. 2023; 11(1):69. https://doi.org/10.3390/vaccines11010069
Chicago/Turabian StyleCherif, Yasmine Yousra Sadok, Chakib Djeffal, Hashem Abu Serhan, Ahmed Elnahhas, Hebatallah Yousef, Basant E. Katamesh, Basel Abdelazeem, and Abdelaziz Abdelaal. 2023. "The Characteristics of COVID-19 Vaccine-Associated Uveitis: A Summative Systematic Review" Vaccines 11, no. 1: 69. https://doi.org/10.3390/vaccines11010069
APA StyleCherif, Y. Y. S., Djeffal, C., Abu Serhan, H., Elnahhas, A., Yousef, H., Katamesh, B. E., Abdelazeem, B., & Abdelaal, A. (2023). The Characteristics of COVID-19 Vaccine-Associated Uveitis: A Summative Systematic Review. Vaccines, 11(1), 69. https://doi.org/10.3390/vaccines11010069