Microbial keratitis in Sydney, Australia: risk factors, patient outcomes, and seasonal variation

Graefes Arch Clin Exp Ophthalmol. 2020 Aug;258(8):1745-1755. doi: 10.1007/s00417-020-04681-0. Epub 2020 May 2.

Abstract

Purpose: To provide recent data on patient demographics, clinical profile and outcomes of patients with microbial keratitis over a 5-year period at the Sydney Eye Hospital, and to identify seasonal variations of the main causative organisms.

Method: A retrospective study of patients with a clinical diagnosis of microbial keratitis and corneal scrape performed between 1 January 2012 and 31 December 2016. Clinical information was gathered from medical records and pathology data.

Results: One thousand fifty-two eyes from 979 patients with a mean age of 54.7 ± 21.5 years (range 18-100 years) were included. The majority of cases were bacterial (65%) followed by polymicrobial (2.4%), fungi (2.3%), and culture-negative (31%). Common risk factors for microbial keratitis were contact lens wear (63%) and previous topical steroid use (24%). Factors significantly associated with poor patient outcomes in the multivariate model were age, visual acuity, and epithelial defect size (p < 0.05). Patients with fungal or polymicrobial keratitis presented with worse clinical features at initial and final presentation (p < 0.05). There was a significant variation in the occurrence of Pseudomonas aeruginosa (p = 0.018) and fungal keratitis (predominately made up of Candida and Fusarium species) (p = 0.056) in the hottest seasons.

Conclusion: Poorer outcomes are more likely to be seen in older patients and those presenting with poor visual acuity and large epithelial defects at the initial presentation.

Keywords: Bacterial keratitis; Cornea; Fungal keratitis; Infection; Keratitis.

MeSH terms

  • Australia / epidemiology
  • Eye Infections, Bacterial / diagnosis
  • Eye Infections, Bacterial / epidemiology*
  • Female
  • Follow-Up Studies
  • Humans
  • Incidence
  • Keratitis / diagnosis
  • Keratitis / epidemiology*
  • Male
  • Middle Aged
  • Prognosis
  • Retrospective Studies
  • Risk Assessment / methods*
  • Risk Factors
  • Seasons