Investigative Ophthalmology & Visual Science Cover Image for Volume 65, Issue 7
June 2024
Volume 65, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2024
Predictors of Visual Outcomes in Microbial Keratitis
Author Affiliations & Notes
  • Emily Louise Vogt
    University of Michigan W K Kellogg Eye Center, Ann Arbor, Michigan, United States
    University of Michigan Medical School, Ann Arbor, Michigan, United States
  • Leslie M. Niziol
    University of Michigan W K Kellogg Eye Center, Ann Arbor, Michigan, United States
  • N Venkatesh Prajna
    Aravind Eye Care System, Madurai, Tamil Nadu, India
  • Keith D Miller
    University of Michigan Medical School, Ann Arbor, Michigan, United States
  • Mercy Pawar
    University of Michigan W K Kellogg Eye Center, Ann Arbor, Michigan, United States
  • Madeleine C. Lee
    University of Michigan W K Kellogg Eye Center, Ann Arbor, Michigan, United States
  • Tania Padilla Conde
    University of Michigan W K Kellogg Eye Center, Ann Arbor, Michigan, United States
  • Sina Rezaei
    University of Michigan W K Kellogg Eye Center, Ann Arbor, Michigan, United States
  • Prabhleen Kochar
    Aravind Eye Care System, Madurai, Tamil Nadu, India
  • Suvitha Selvaraj
    Aravind Eye Care System, Madurai, Tamil Nadu, India
  • Dhanya Kuppuraj
    Aravind Eye Care System, Madurai, Tamil Nadu, India
  • Nambi Nallasamy
    University of Michigan W K Kellogg Eye Center, Ann Arbor, Michigan, United States
  • Shahzad I Mian
    University of Michigan W K Kellogg Eye Center, Ann Arbor, Michigan, United States
  • Sina Farsiu
    Department of Bioengineering, Duke University, Durham, North Carolina, United States
    Department of Opthalmology, Duke University, Durham, North Carolina, United States
  • Maria A Woodward
    University of Michigan W K Kellogg Eye Center, Ann Arbor, Michigan, United States
    University of Michigan Institute for Healthcare Policy and Innovation, Ann Arbor, Michigan, United States
  • Footnotes
    Commercial Relationships   Emily Vogt None; Leslie Niziol None; N Venkatesh Prajna None; Keith Miller None; Mercy Pawar None; Madeleine Lee None; Tania Padilla Conde None; Sina Rezaei None; Prabhleen Kochar None; Suvitha Selvaraj None; Dhanya Kuppuraj None; Nambi Nallasamy None; Shahzad Mian None; Sina Farsiu None; Maria Woodward None
  • Footnotes
    Support  NIH Grant 5P30EY00700337
Investigative Ophthalmology & Visual Science June 2024, Vol.65, 4920. doi:
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      Emily Louise Vogt, Leslie M. Niziol, N Venkatesh Prajna, Keith D Miller, Mercy Pawar, Madeleine C. Lee, Tania Padilla Conde, Sina Rezaei, Prabhleen Kochar, Suvitha Selvaraj, Dhanya Kuppuraj, Nambi Nallasamy, Shahzad I Mian, Sina Farsiu, Maria A Woodward; Predictors of Visual Outcomes in Microbial Keratitis. Invest. Ophthalmol. Vis. Sci. 2024;65(7):4920.

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

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Abstract

Purpose : Significant variation in microbial keratitis (MK) presentations exists, making it difficult to risk stratify patients for visual outcomes. We performed a multisite prospective cohort study to identify presenting clinical features associated with MK 90-day (90d) visual outcomes.

Methods : We recruited participants at the University of Michigan (UM) and Aravind Eye Care Systems (AECS) in India from July 2020 to April 2023 as part of the Automated Quantitative Ulcer Analysis study. Participants were 15 years or older with MK ≥2mm2 in area without prior incisional corneal surgery, corneal glue or bandage contact lens, or Acanthamoeba infection. Participants completed demographic, health history, and eye symptom surveys at presentation. Visual function and ulcer morphology were taken from technician-performed visual acuity (VA) scales and ophthalmologist clinical exams through 90 days. Our primary outcome was 90d best-corrected VA (90d BCVA) using logMAR. We performed site-stratified descriptive statistics and multivariable linear regression with P<0.05 defined as statistically significant. Model results are reported with estimates and 95% confidence intervals (CI).

Results : 313 participants were enrolled (91 UM, 222 AECS). Average 90d BCVA was significantly worse in UM versus AECS participants (1.19 at UM vs 0.65± at AECS; Snellen equivalent 20/310 ±1.3 lines at UM vs 20/89 ± 0.9 lines at AECS; p<0.0001). At UM, worse presenting VA (estimate=0.05 per 0.01 increase in logMAR; CI 0.03,0.07; p<0.0001) and larger epithelial defect area (estimate=0.02 per 1mm2; CI 0.01,0.03; p=0.0004) predicted worse 90d BCVA, while contact lens use (estimate=-0.65; CI -1.10, -0.20; p=0.0055) and longer stromal infiltrates (estimate=-0.20 per 1mm; CI -0.34,-0.07; p=0.0042) predicted better 90d BCVA . At AECS, worse presenting VA (estimate=0.04 per 0.01 increase in logMAR; CI 0.03,0.06; p<0.0001), diabetes (estimate=0.39; CI 0.07,0.71; p=0.0184), and wider stromal infiltrates (estimate=0.11 per 0.1mm; CI 0.02,0.06; p=0.0131) predicted worse 90d BCVA, while ocular trauma (estimate=-0.39; CI -0.62, -0.16; p=0.0008) predicted better 90d BCVA.

Conclusions : Certain presenting clinical features predict worse MK visual outcomes. Some predictive features differed between study sites, suggesting geographic, risk factor, and population differences. Recognizing key regional risk factors can help clinicians to effectively manage MK patients based on visual prognosis.

This abstract was presented at the 2024 ARVO Annual Meeting, held in Seattle, WA, May 5-9, 2024.

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