| 摘要 |
A method for predicting the course of recurrent depressive disorder provides for detection of clinical- anamnestic and psychodiagnostic signs, comparison with the statistical model of the disease and prediction of its further course. According to the utility model, the additional clinical-anamnestic data are selected including the age of the patient, the initiating factors, the premorbid structure, the age of the origin of the disease, the duration of phase-intermission and phase-remission stages, the number and the duration of the phases and intermissions/remissions, the characteristic features of syndrome dynamics, the temporal features of the course of the disease, plasma blood content of tryptophan, serotonin, and melatonin. According to the data obtained, one of the variants is delineated, namely depressive, anxious-depressive, anxious-hypochondriac, depressive-dysthymic-apathic. The course of the disease is predicted by comparing the term of the course in the individual patient with that within each of the variants. The conclusion on the probability of the acute condition and the advisability of antirecurrent therapy is made. |
