FIELD: medicine.
SUBSTANCE: method involves determining patient acetylation phenotype and predicting disease from table data built in advance. The table has correlation coefficients between rapid and slow acetylation phenotype reoccurrence frequency in various countries, morbidity coefficients for predicting diseases under prognosis and mortality rates caused by the diseases in various age-specific human life intervals. The risks are predicted in the cases when patient has rapid acetylation phenotype, only if said coefficient values corresponding to patient phenotype and sex are positive, and in slow acetylation phenotype cases when the coefficients are negative. The risks are predicted in the cases when said correlation coefficient values have authenticity level equal to or less than 0.05. Prognosed diseases risks and lethal outcome risks caused by those diseases in given age intervals are determined from the values of the correlation coefficients in the range from -1 to +1. Clinical course severity is additionally estimated for particular patient in said age intervals depending on acetylation degree settled when determining patient phenotype. Acetylation degree is taken into consideration.
EFFECT: high accuracy of prognosis.
6 cl, 2 tbl
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Authors
Dates
2007-02-20—Published
2006-01-24—Filed