METHOD FOR PREDICTION OF PROGRESSION OF CYSTIC FIBROSIS DIAGNOSED BY NEONATAL SCREENING Russian patent published in 2014 - IPC G01N33/48 

Abstract RU 2523888 C1

FIELD: medicine.

SUBSTANCE: invention describes a method for prediction of progression of cystic fibrosis diagnosed by neonatal screening taking into account sex, age; values of haemoglobin, leukocytes, alanine transaminase, aspartate transaminase, C-reactive protein; type of bacterial flora in nasal and pharyngeal smears, sweat chloride test to determine a prognostic coefficient of progression of cystic fibrosis (Kpcf) with using a regression equation: Kpcf=3.21946+0.526873*sex - 0.0488185*age - 0.0125638*haemoglobin+0.0302588*leukocytes - 0.0418016*alanine transaminase+0.00832224*aspartate transaminase+0,0736644*CRP+; 0.238719* nasal flora+0.442044* pharyngeal flora - 0.00669528*sweat chlorides, wherein: sex - 1 for boys, 0 for girls; age - completed months at the moment of examination; haemoglobin is peripheral blood haemoglobin, gram per litre, leukocytes is leukocyte count in cubic millimetre of peripheral blood; alanine transaminase is venous blood alanine transaminase, units per litre; aspartate transaminase is venous blood aspartate transaminase, units per litre; CRP is C-reactive protein, milligram per litre; nasal flora and pharyngeal flora is a type of bacterial flora in nasal smears and pharyngeal smears: 1 streptococcus, 2 Pseudomonas Aureginosa; 3 staphylococcus; 4 fungi; 5 no flora growth found (a smear is sterile); 6 enterococcus; 7 corynebacteria; 8 Neisseria; 9 acinetobacteria; 10 Escherichia coli; 11 Citrobacter; 12 Klebsiella; 13 Stenotrophomonas; 14 Haemophilus influenzae; 15 moraxella; 16 other types of flora; sweat chlorides is sweat chlorides, mmole/l; if the coefficient is less than 2.3, the course of the disease is predicted to be positive; if the coefficient is 2.3 and more, cystic fibrosis is predicted to aggravate.

EFFECT: method enables reducing time consumption, requires no highly experienced doctors to be involved; it has the high accuracy and specificity.

1 tbl, 2 ex

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RU 2 523 888 C1

Authors

Ledneva Vera Sergeevna

Ulyanova Lyudmila Vladimirovna

Neretina Alla Fedorovna

Dates

2014-07-27Published

2013-01-31Filed