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Classification Criteria for Cytomegalovirus Retinitis
- Source :
- Am J Ophthalmol
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- PURPOSE: To determine classification criteria for cytomegalovirus (CMV) retinitis. DESIGN: Machine learning of cases with CMV retinitis and 4 other infectious posterior/panuveitides. METHODS: Cases of infectious posterior/panuveitides were collected in an informatics-designed preliminary database, and a final database was constructed of cases achieving supermajority agreement on diagnosis, using formal consensus techniques. Cases were split into a training set and a validation set. Machine learning using multinomial logistic regression was used on the training set to determine a parsimonious set of criteria that minimized the misclassification rate among the infectious posterior/panuveitides. The resulting criteria were evaluated on the validation set. RESULTS: Eight hundred three cases of infectious posterior/panuveitides, including 211 cases of CMV retinitis, were evaluated by machine learning. Key criteria for CMV retinitis included: 1) necrotizing retinitis with indistinct borders due to numerous small satellites; 2) evidence of immune compromise; and either 3) a characteristic clinical appearance or 4) positive polymerase chain assay for CMV from an intraocular specimen. Characteristic appearances for CMV retinitis included: 1) wedge-shaped area of retinitis; 2) hemorrhagic retinitis; or 3) granular retinitis. Overall accuracy for infectious posterior/panuveitides was 92.1% in the training set and 93.3% (95% confidence interval 88.2, 96.3) in the validation set. The misclassification rates for CMV retinitis were 6.9% in the training set and 6.3% in the validation set. CONCLUSIONS: The criteria for CMV retinitis had a low misclassification rate and appeared to perform sufficiently well for use in clinical and translational research.
- Subjects :
- Adult
Male
Pediatrics
medicine.medical_specialty
Cytomegalovirus
Eye Infections, Viral
Article
Machine Learning
03 medical and health sciences
0302 clinical medicine
Text mining
medicine
Humans
030304 developmental biology
Multinomial logistic regression
0303 health sciences
business.industry
Middle Aged
medicine.disease
Ophthalmology
Cytomegalovirus Retinitis
DNA, Viral
030221 ophthalmology & optometry
Female
Cytomegalovirus retinitis
business
Subjects
Details
- ISSN :
- 00029394
- Volume :
- 228
- Database :
- OpenAIRE
- Journal :
- American Journal of Ophthalmology
- Accession number :
- edsair.doi.dedup.....65289d0a674b5c97356c0a47d738da8e
- Full Text :
- https://doi.org/10.1016/j.ajo.2021.03.051