Characteristic clinical features as an aid to the diagnosis of suppurative keratitis caused by filamentous fungi.
OBJECTIVE
To assess whether the presence of characteristic clinical features can be used as a diagnostic aid for suppurative keratitis caused by filamentous fungi.


METHODS
Patients presenting with suppurative keratitis in India underwent detailed clinical examination followed by microbiological investigation of corneal scrapes. A partial diagnostic score based upon the strength of the association, as estimated by the odds ratio, between reported clinical features and laboratory confirmed diagnoses was devised and subsequently tested using a case series from Ghana.


RESULTS
Serrated margins, raised slough, dry texture, satellite lesions and coloration other than yellow occurred more frequently in cases of filamentous fungal keratitis than bacterial keratitis (p<0.05). Hypopyon and fibrinous exudate were observed more frequently in bacterial keratitis (p<0.05). When incorporated into a backwards stepwise logisitic regression model only serrated margins, raised slough, and colour were independently associated with fungal keratitis; these features were used in the scoring system. The probability of fungal infection if one clinical feature was present was 63%, increasing to 83% if all three features were present.


CONCLUSIONS
Microbiological investigations should be performed whenever possible; however, where facilities are not available, a rapid presumptive diagnosis of suppurative keratitis may be possible by scoring clinical features.
Thomas
P A
PA
Department of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
Leck
A K
AK
Myatt
M
M
D003937:Diagnosis, Differential; D004812:Epidemiologic Methods; D015818:Eye Infections, Bacterial / Q000175:diagnosis / Q000473:pathology; D015821:Eye Infections, Fungal / Q000175:diagnosis* / Q000473:pathology; D006801:Humans; D007634:Keratitis / Q000175:diagnosis* / Q000382:microbiology / Q000473:pathology