Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
124 participants
OBSERVATIONAL
2020-07-23
2024-06-07
Brief Summary
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Detailed Description
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Conditions
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Study Design
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CASE_CONTROL
PROSPECTIVE
Study Groups
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Microbial Keratitis
Presence of a bacteria or fungal keratitis with ≥ 2mm stromal infiltrate
Visual Acuity
Best corrected visual acuity utilizing the Snellen method
Viral or Inflammatory Keratitis
Non-infectious inflammatory, Viral, Acanthamoeba, or other forms of keratitis
Visual Acuity
Best corrected visual acuity utilizing the Snellen method
Interventions
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Visual Acuity
Best corrected visual acuity utilizing the Snellen method
Eligibility Criteria
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Inclusion Criteria
* Controls- Inflammatory, viral, Acanthamoeba, or other keratitis
Exclusion Criteria
* Prior incisional corneal surgery
* No light perception vision
* Corneal perforation or impending perforation
* Inpatient status
* Institutional status
* Cognitively impaired
* Prisoner
15 Years
99 Years
ALL
No
Sponsors
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National Eye Institute (NEI)
NIH
University of Michigan
OTHER
Responsible Party
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Maria Woodward
Assistant Professor
Principal Investigators
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Maria A Woodward, MD, MS
Role: PRINCIPAL_INVESTIGATOR
University of Michigan
Locations
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University of Michigan- Kellogg Eye Center
Ann Arbor, Michigan, United States
Aravind Eye Care System
Madurai, Tamil Nadu, India
Countries
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References
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Patel TP, Prajna NV, Farsiu S, Valikodath NG, Niziol LM, Dudeja L, Kim KH, Woodward MA. Novel Image-Based Analysis for Reduction of Clinician-Dependent Variability in Measurement of the Corneal Ulcer Size. Cornea. 2018 Mar;37(3):331-339. doi: 10.1097/ICO.0000000000001488.
Maganti N, Tan H, Niziol LM, Amin S, Hou A, Singh K, Ballouz D, Woodward MA. Natural Language Processing to Quantify Microbial Keratitis Measurements. Ophthalmology. 2019 Dec;126(12):1722-1724. doi: 10.1016/j.ophtha.2019.06.003. Epub 2019 Jun 11.
Kriegel MF, Huang J, Ashfaq HA, Niziol LM, Preethi M, Tan H, Tuohy MM, Patel TP, Prajna V, Woodward MA. Algorithm Variability in Quantification of Epithelial Defect Size in Microbial Keratitis Images. Cornea. 2020 May;39(5):628-633. doi: 10.1097/ICO.0000000000002258.
Loo J, Kriegel MF, Tuohy MM, Kim KH, Prajna V, Woodward MA, Farsiu S. Open-Source Automatic Segmentation of Ocular Structures and Biomarkers of Microbial Keratitis on Slit-Lamp Photography Images Using Deep Learning. IEEE J Biomed Health Inform. 2021 Jan;25(1):88-99. doi: 10.1109/JBHI.2020.2983549. Epub 2021 Jan 5.
Lu MC, Deng C, Greenwald MF, Farsiu S, Prajna NV, Nallasamy N, Pawar M, Hart JN, Sr S, Kochar P, Selvaraj S, Levine H, Amescua G, Sepulveda-Beltran PA, Niziol LM, Woodward MA; and the AQUA Study Team. Automatic Classification of Slit-Lamp Photographs by Imaging Illumination. Cornea. 2024 Apr 1;43(4):419-424. doi: 10.1097/ICO.0000000000003318. Epub 2023 May 31.
Woodward MA, Vogt EL, Niziol LM, Mian SI, Sugar A, Verkade A, Nallasamy N, Pawar M, Kang L, Miller KD, Winter S, Farsiu S, Prajna NV. Factors Associated with Vision Outcomes in Microbial Keratitis: A Multisite Prospective Cohort Study. Ophthalmology. 2025 Jul;132(7):830-841. doi: 10.1016/j.ophtha.2025.02.004. Epub 2025 Feb 8.
Lee MC, Vogt EL, Hicks PM, Pawar M, Lu MC, Niziol LM, Terek DA, Nallasamy N, Hakim FE, Woodward MA. Social Risk Factors Associated With Microbial Keratitis. Cornea. 2024 Dec 10:10.1097/ICO.0000000000003766. doi: 10.1097/ICO.0000000000003766. Online ahead of print.
Other Identifiers
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HUM00174923
Identifier Type: -
Identifier Source: org_study_id
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