Open AccessOcular surface manifestations of coronavirus disease 2019 (COVID-19): A systematic review and meta-analysis
Author(s) -
Kanika Aggarwal,
Aniruddha Agarwal,
Nishant Jaiswal,
Neha Dahiya,
Alka Ahuja,
Sarakshi Mahajan,
Louis Tong,
Mona Duggal,
Meenu Singh,
Rupesh Agrawal,
Vishali Gupta
Publication year - 2020
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0241661
Subject(s) - medicine , meta analysis , covid-19 , systematic review , coronavirus , pneumonia , dermatology , ophthalmology , medline , disease , pathology , infectious disease (medical specialty) , political science , law
Purpose This study was performed to determine the occurrence of ocular surface manifestations in patients diagnosed with coronavirus disease 2019 (COVID-19) due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Methods A systematic search of electronic databases i.e. PubMed, Web of Science, CINAHL, OVID and Google scholar was performed using a comprehensive search strategy. The searches were current through 31st May 2020. Pooled data from cross-sectional studies was used for meta-analysis and a narrative synthesis was conducted for studies where a meta-analysis was not feasible. Results A total of 16 studies reporting 2347 confirmed COVID-19 cases were included. Pooled data showed that 11.64% of COVID-19 patients had ocular surface manifestations. Ocular pain (31.2%), discharge (19.2%), redness (10.8%), and follicular conjunctivitis (7.7%) were the main features. 6.9% patients with ocular manifestations had severe pneumonia. Viral RNA was detected from the ocular specimens in 3.5% patients. Conclusion The most common reported ocular presentations of COVID-19 included ocular pain, redness, discharge, and follicular conjunctivitis. A small proportion of patients had viral RNA in their conjunctival/tear samples. The available studies show significant publication bias and heterogeneity. Prospective studies with methodical collection and data reporting are needed for evaluation of ocular involvement in COVID-19.