FIELD: medicine.
SUBSTANCE: invention refers to medicine, namely to phthisiology, and can be used for determining the probability of an unfavourable outcome in a patient suffering from tuberculosis associated with HIV infection, when admitted to a hospital of the Federal Penitentiary Service of the Russian Federation. Patient is diagnosed with the following symptoms: dyspnoea (D) complaints, weight loss (L), presence of splenomegaly (S), fever (F), wherein in the presence of a feature, value of 1 is assigned to it, and in the absence of a value, value of 0 is given, followed by calculation using a formula. Each feature is given an experimentally determined weight value in the form of a product of constant coefficient or 1, or 0, depending on presence or absence of the attribute: (1.40486) and if dyspnoea (D) = 1, absent = 0; (1.74790) and in the presence of weight loss (L) = 1, absence = 0; (1.68617) and in the presence of splenomegaly (S) = 1, absence = 0; (1.91843) and in the presence of fever (F) = 1, absence = 0; and is summed with constant equal to (-5.35489) with subsequent calculation by formula
where e is the base of the natural logarithm = 2.71828947, z is the sum of the numerical values of each of the features, z = (-5.3489) + 1.40486 × (D) + 1.74790 × (L) + 1.68617 × (S) + 1.1843 × (F), where "D" - presence of dyspnoea, "L" - presence of weight loss, "S" - presence of splenomegaly, "F" - presence of fever. Derived probability is used to conclude that it is advisable to continue monitoring and treating a patient suffering from tuberculosis associated with HIV infection when admitted to a hospital of the Federal Penitentiary Service of the Russian Federation in the intensive care ward. If probability is 50 % or more, the risk of the unfavourable outcome and the need to hospitalize the patient in the intensive care unit are predicted, if the probability is less than 50 %, the patient is hospitalized in a hospital ward.
EFFECT: method provides detecting a possible adverse outcome of the disease by a limited number of clinical manifestations.
1 cl, 1 dwg, 2 tbl
