Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1075
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3195
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
98%
921
2 minutes
20
Purpose: To investigate the short-term impact of exposure to smoke from vegetation burns on ocular surface symptoms and signs.
Methods: Woody bushfuels were burnt in an enclosed room (Flammability Laboratory, University of Tasmania, Australia) to generate particulate matter and monitored in real time (Dust Trak II). Eighteen participants (aged 20-63 years, 8 males and 10 females) fitted with respirators were seated 1.5 m from the burn for 15 minutes. Clinical ocular surface measurements were conducted in the right eye. Tears were collected from the left eye and analyzed for the cytokine interleukin-1β (enzyme-linked immunosorbent assay). Pre- and postexposure differences were analyzed using paired t tests or Wilcoxon signed rank tests. Associations between symptoms and signs were analyzed using Spearman's correlation.
Results: Mean particulate matter with a diameter of 2.5 µm or smaller exposure was 1903 µg/m3. After smoke exposure, an increase in symptoms (median change, 2; interquartile range [IQR], 1-6; P = 0.001), ocular surface staining (median change, 1; IQR, 0-1; P = 0.007), limbal redness (mean change, 0.28 ± 0.36; P = 0.02), palpebral conjunctival redness (mean change, 0.35 ± 0.36; P = 0.009), palpebral conjunctival roughness (mean change, 0.3 ± 0.4; P = 0.046), and decrease in tear breakup time (mean change. 1.4 ± 2.6 seconds; P = 0.03) occurred. The change in bulbar conjunctival redness correlated with the change in dryness symptoms (r = 0.70; P = 0.001). The interleukin-1β concentration increased in the majority of participants post exposure (median change, 6.6 pg/mL; IQR, 2.2-21.1 pg/mL; P = 0.01).
Conclusions: This study demonstrated that short-term wildfire smoke directly and adversely affects the ocular surface and induces symptoms.
Translational Relevance: This study used a unique enclosed experimental laboratory to simulate ocular exposure to wildfire smoke and demonstrates the need to elucidate the role of anti-inflammatory therapies in mitigating the impact of smoke on the ocular surface.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1167/tvst.14.9.13 | DOI Listing |