METHOD FOR PREDICTING THE DEVELOPMENT OF A HIGH DEGREE OF SEVERITY OF THE INFLAMMATORY PROCESS IN CHILDREN WITH ACUTE PNEUMONIA
Journal: Journal of the Grodno State Medical University (Vol.18, No. 4)Publication Date: 2020-10-02
Authors : I. V. Parfionova; N. A. Maksimovich;
Page : 452-456
Keywords : community-acquired pneumonia; diagnostics; children;
Abstract
Aim of study. To identify a set of independent factors and develop a method for predicting the high degree of severity of the inflammatory process in children with acute community-acquired pneumonia. Material and methods. A cohort of 100 patients was examined, including children with acute pneumonia with (n=70) and without (n=30) endothelial dysfunction. All children underwent a comprehensive study, which included a clinical examination, laboratory studies according to generally accepted methods. The study of the function of external respiration was carried out using the spirograph “Spiro-spectrum”. Determination of the content of nitric oxide in blood serum was performed by spectrophotometric method using cadmium and Griss reagent, circulating endothelial cells by microscopy. Results. A regression model was created that enables to predict the probability of a high degree of inflammatory process in children with segmental and lobar pneumonia (sensitivity 96.4%, specificity 93.3%). Conclusions. The use of the regression equation enabled to develop a method for predicting the probability of a high degree of inflammatory process in children with segmental and lobar pneumonia that have signs of endothelial dysfunction, and as a result – to choose the optimal management strategy for such patients.
Other Latest Articles
- POSSIBILITIES OF MULTISPIRAL COMPUTED TOMOGRAPHY IN ASSESSING THE STATE OF A PSEUDOCAPSULE OF A KIDNEY TUMOR AND IN CHOOSING THE METHOD OF ORGAN-PRESERVING SURGERY IN CLINICALLY LOCALIZED RENAL CELL CARCINOM
- Design of Smart Multipurpose Agricultural Equipment
- Control Of Calcium Carbonate Scale Formed on a Pipe with Inducing Magnetic Field and Tartaric Acid in Flowing Water
- Artificial Intelligence Implemented in Gesture Recognitions of The Upper Limb
- Risk Management Via Measuring Impacts of External Financing on The Risk Level of Viet Nam Natural Gas and Oil Industry
Last modified: 2020-10-06 19:21:16