Prediction of long-term prognosis of age-related macular degeneration treated by hemorheologic therapy using baseline laboratory indicators - Experimental-clinical model
Jazyk angličtina Země Spojené státy americké Médium print
Typ dokumentu časopisecké články
PubMed
32675405
DOI
10.3233/ch-209101
PII: CH209101
Knihovny.cz E-zdroje
- Klíčová slova
- Rheohaemapheresis, age-related macular degeneration, prognosis prediction, treatment failure,
- MeSH
- laboratoře MeSH
- lidé středního věku MeSH
- lidé MeSH
- makulární degenerace patologie terapie MeSH
- prognóza MeSH
- reologie krve fyziologie MeSH
- výsledek terapie MeSH
- Check Tag
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
UNLABELLED: BACKGROUND + OBJECTIVE:Age-related macular degeneration (AMD) is the most common cause of practical blindness in people over 60 years of age in industrialised countries. We formulated a hypothesis that a group of initial laboratory parameters would be suitable for prediction of prognosis of AMD, allowing for individual modifications in treatment intensity. PATIENTS AND METHODS: 66 patients with dry form of AMD were treated using rheohaemapheresis with an individual follow-up period of more than 5 years. The patients' initial laboratory data was split in two subgroups based on treatment success and analysed using discriminant analysis (analysis of the linear and quadratic models using the automated and interactive step-wise approach) by means of the Systat 13 software. RESULTS: Prediction of prognosis based on the initial laboratory parameters was correct in 79% of unsuccessfully treated patients, allowing for early detection of high-risk patients. With the use of a quadratic model, the prediction was correct in 100% of unsuccessfully treated patients and in 75% of successfully treated patients. CONCLUSION: Implementation of discriminant analysis is a promising method for prediction of prognosis, especially when the patient is at risk of AMD progression, which allows for early and more intensive monitoring and treatment.
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