Impression membrane for the diagnosis of microbial keratitis

Stephen Kaye1, Henri Sueke1, Vito Romano2

  • 1St Pauls Eye Unit, Royal Liverpool University Hospital, Liverpool, UK Department of Eye and Vision Science, Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UK.

Abstract

Insights

A corneal impression membrane (CIM) significantly improves microbial isolation rates in suspected microbial keratitis cases compared to traditional blade sampling. This method offers a valuable alternative for diagnosing eye infections.

Area of Science:

  • Ophthalmology
  • Microbiology
  • Medical Diagnostics

Background:

  • Microbial keratitis is a serious eye infection requiring prompt diagnosis.
  • Accurate identification of causative microorganisms is crucial for effective treatment.
  • Current sampling methods may have limitations in microbial yield.

Purpose of the Study:

  • To compare the efficacy of a corneal impression membrane (CIM) versus a surgical blade for isolating bacteria, fungi, and Acanthamoeba in suspected microbial keratitis.
  • To evaluate the diagnostic yield of CIM in microbial keratitis cases.

Main Methods:

  • A comparative study involving consecutive patients with suspected microbial keratitis.
  • Samples were collected using both a surgical blade and a 4-mm polytetrafluoroethylene CIM disc.
  • Microbial isolation rates were compared between the two sampling methods.

Main Results:

  • The corneal impression membrane (CIM) achieved a significantly higher isolation rate (40.8%) compared to the surgical blade (26.9%) (p=0.02).
  • Common isolates included Staphylococcus aureus and coagulase-negative staphylococci.
  • Acanthamoeba spp. were isolated in four cases, with three identified using the CIM.

Conclusions:

  • The corneal impression membrane (CIM) demonstrates superior performance in isolating microorganisms from suspected microbial keratitis.
  • CIM is a promising alternative or adjunct for sample collection in diagnosing microbial keratitis.
  • Improved diagnostic yield with CIM can potentially lead to more timely and appropriate treatment of eye infections.

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