June 2022
Volume 63, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2022
The Impact of COVID-19 on Periocular Non-Melanoma Skin Cancer in the Veteran Population
Author Affiliations & Notes
  • Emmanuel Uchenna Agu
    School of Medicine, University of California San Francisco, San Francisco, California, United States
    Department of Opthalmology, San Francisco VA Health Care System, San Francisco, California, United States
  • Arman Mosenia
    School of Medicine, University of California San Francisco, San Francisco, California, United States
    Department of Opthalmology, University of California San Francisco, San Francisco, California, United States
  • Jacob A Lifton
    Department of Opthalmology, University of California San Francisco, San Francisco, California, United States
    Department of Opthalmology, San Francisco VA Health Care System, San Francisco, California, United States
  • Lawrence Chan
    Department of Opthalmology, University of California San Francisco, San Francisco, California, United States
    Department of Opthalmology, San Francisco VA Health Care System, San Francisco, California, United States
  • Katherine G Ligtenberg
    Department of Opthalmology, University of California San Francisco, San Francisco, California, United States
  • Drew Saylor
    Department of Dermatology, University of California San Francisco, San Francisco, California, United States
    Department of Dermatolgy, San Francisco VA Health Care System, San Francisco, California, United States
  • Reza Vagefi
    Department of Opthalmology, University of California San Francisco, San Francisco, California, United States
    Department of Opthalmology, San Francisco VA Health Care System, San Francisco, California, United States
  • Seanna R Grob
    Department of Opthalmology, University of California San Francisco, San Francisco, California, United States
    Department of Opthalmology, San Francisco VA Health Care System, San Francisco, California, United States
  • Robert Kersten
    Department of Opthalmology, University of California San Francisco, San Francisco, California, United States
  • Melena Ahmad
    Department of Opthalmology, University of California San Francisco, San Francisco, California, United States
    Department of Opthalmology, San Francisco VA Health Care System, San Francisco, California, United States
  • Bryan Winn
    Department of Opthalmology, University of California San Francisco, San Francisco, California, United States
    Department of Opthalmology, San Francisco VA Health Care System, San Francisco, California, United States
  • Footnotes
    Commercial Relationships   Emmanuel Agu None; Arman Mosenia None; Jacob Lifton None; Lawrence Chan None; Katherine Ligtenberg None; Drew Saylor None; Reza Vagefi None; Seanna Grob None; Robert Kersten None; Melena Ahmad None; Bryan Winn None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2022, Vol.63, 3148 – A0043. doi:
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    • Get Citation

      Emmanuel Uchenna Agu, Arman Mosenia, Jacob A Lifton, Lawrence Chan, Katherine G Ligtenberg, Drew Saylor, Reza Vagefi, Seanna R Grob, Robert Kersten, Melena Ahmad, Bryan Winn; The Impact of COVID-19 on Periocular Non-Melanoma Skin Cancer in the Veteran Population. Invest. Ophthalmol. Vis. Sci. 2022;63(7):3148 – A0043.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : Despite an increasing incidence of skin cancer over the last decade, studies have reported a decline in the diagnosis and treatment of skin cancer during the COVID-19 pandemic. We performed a retrospective cohort study using a large population-based cohort from the Veterans Health Administration (VHA) to determine how the pandemic has affected tumor size and morbidity in veterans with periocular non-melanoma skin cancer.

Methods : Electronic health records from all VHA sites were accessed through the VA Informatics and Computing Infrastructure (VINCI). Data were stored in the Observational Medical Outcomes Partnership (OMOP) model and queried via SQL Server. ICD-10 and current procedural terminology codes were used to identify patients who received Mohs surgery for periocular basal cell carcinoma (BCC) or squamous cell carcinoma (SCC) between 08/01/2018 and 09/10/2021. A combination of structured algorithms and manual review were used to extract patient demographics, lesion characteristics, and surgical outcome at three time points, ie. pre-COVID, early, and late COVID. Unpaired t-tests were used to assess statistical significance.

Results : Patient characteristics were similar between pre- and post-COVID cohorts in terms of gender, age, race, and tumor type. The average number of Mohs periocular surgeries performed per week were 23.1% (7.31 vs 5.62) and 13.1% (7.49 vs 6.51) lower in the early and later pandemic, respectively, compared to similar pre-COVID timeframes by month (Figure 1). Mean lesion size (maximum diameter) was 1.35 cm larger post-COVID compared to pre-COVID (95% CI 0.19 2.51, P=0.022); however, the defect size remained similar (Figure 2). Stratifying by tumor type, the same trends were noted in BCC, particularly early in the pandemic. However, mean SCC lesion and defect sizes did not vary over time.

Conclusions : Periocular Mohs surgery rates declined in the COVID pandemic across VHA. Lesions were larger particularly in the earlier phase of the pandemic for BCC. Future analyses using this cohort will attempt to determine if telehealth and travel time were associated with distinct outcomes.

This abstract was presented at the 2022 ARVO Annual Meeting, held in Denver, CO, May 1-4, 2022, and virtually.

 

Figure 1: Average number of periocular Mohs surgeries per week across VHA nationally.

Figure 1: Average number of periocular Mohs surgeries per week across VHA nationally.

 

Figure 2: Mean lesion and defect size in cm for pre-COVID, early and late COVID cohorts. Vertical lines correspond to 95% confidence intervals. *: statistically significant (P<0.05); ns: non-significant

Figure 2: Mean lesion and defect size in cm for pre-COVID, early and late COVID cohorts. Vertical lines correspond to 95% confidence intervals. *: statistically significant (P<0.05); ns: non-significant

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