FIELD: medicine.
SUBSTANCE: method involves determining patient acetylation phenotype and predicting disease from table data built in advance. The table has morbidity coefficients for predicting diseases under prognosis and mortality rates caused by the diseases in countries conditionally uniform with respect to acetylation phenotype, that is, consisting from rapid or only slow acetylators. Prognosed diseases risks and lethal outcome risks caused by those diseases in given age intervals are determined from the values of the coefficients. The risks are predicted in the cases when said coefficient values corresponding to patient phenotype and sex are greater than the same coefficients of opposite phenotype of the same sex with authenticity level equal to or less than 0.05. Clinical course severity is additionally estimated in said age intervals depending on patient phenotype and acetylation degree.
EFFECT: high accuracy of prognosis.
6 cl, 2 tbl
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Authors
Dates
2007-02-20—Published
2006-01-24—Filed