Optimization of diagnosis of SARS-CoV-2 infection using polymerase chain reaction in a large multi-specialty hospital

Abstract

Аbstract. We consider the possibility of optimizing the diagnosis of infection caused by SARS-CoV-2 using polymerase chain reaction in a multi-specialty hospital, repurposed for the treatment of COVID-19 patients, using the example Of the military medical Academy named after S.M. Kirov. The analysis of scientific publications selected in accordance with the purpose of the study, analyzed data from 218 samples of polymerase chain reaction in patients with COVID-19, who were in the clinics Of the military medical Academy named after Sm. Time intervals were established depending on the clinical forms and severity of the infectious process, in which the probability of a positive and negative result of a polymerase chain reaction to SARS-CoV-2 RNA was maximum and minimum. It was shown that during the examination and treatment, molecular biological diagnostics were performed excessively (4 times in more than 50% of patients) and in 97,3% of patients unreasonably early (8,5±0,4 days). At the same time, the highest frequency of negative results of polymerase chain reaction to SARS-CoV-2 RNA was observed in the period from 9 to 10 and from 12 to 14 days, while it depended on the clinical form and severity of the infectious process. In this regard, the volume diagnosis using polymerase chain reaction should be reduced and to conduct research when entering the hospital, on the 9th-10th day (in patients inapparently forms and acute respiratory diseases, lung flow) and 12-14 days before discharge in patients with moderate and severe course of the infectious process.

About the authors

K. V. Zhdanov

Military Medical Academy. S. M. Kirov

Author for correspondence.
Email: vmeda-nio@mil.ru
Russian Federation, Saint Petersburg

K. V. Kozlov

Military Medical Academy. S. M. Kirov

Email: vmeda-nio@mil.ru
Russian Federation, Saint Petersburg

Yu. I. Bulankov

Military Medical Academy. S. M. Kirov

Email: vmeda-nio@mil.ru
Russian Federation, Saint Petersburg

S. M. Zakharenko

Military Medical Academy. S. M. Kirov

Email: vmeda-nio@mil.ru
Russian Federation, Saint Petersburg

I. M. Uliukin

Military Medical Academy. S. M. Kirov

Email: vmeda-nio@mil.ru
Russian Federation, Saint Petersburg

G. G Zagorodnikov

Military Medical Academy. S. M. Kirov

Email: vmeda-nio@mil.ru
Russian Federation, Saint Petersburg

S. G. Grigoriev

Military Medical Academy. S. M. Kirov

Email: vmeda-nio@mil.ru
Russian Federation, Saint Petersburg

E. S. Orlova

Military Medical Academy. S. M. Kirov

Email: vmeda-nio@mil.ru
Russian Federation, Saint Petersburg

A. A Shuklina

Military Medical Academy. S. M. Kirov

Email: vmeda-nio@mil.ru
Russian Federation, Saint Petersburg

A. M. Ivanov

Military Medical Academy. S. M. Kirov

Email: vmeda-nio@mil.ru
Russian Federation, Saint Petersburg

O. V. Maltsev

Military Medical Academy. S. M. Kirov

Email: vmeda-nio@mil.ru
Russian Federation, Saint Petersburg

V. S. Sukachev

Military Medical Academy. S. M. Kirov

Email: vmeda-nio@mil.ru
Russian Federation, Saint Petersburg

K. V. Kasyanenko

Military Medical Academy. S. M. Kirov

Email: vmeda-nio@mil.ru
Russian Federation, Saint Petersburg

N. E. Grinchenko

Military Medical Academy. S. M. Kirov

Email: vmeda-nio@mil.ru
Russian Federation, Saint Petersburg

References

Supplementary files

Supplementary Files
Action
1. JATS XML
2. Fig. The frequency of the probability of positive and negative results of discharge from the mucous membrane of the upper respiratory tract in PCR on RNA SARS-CoV-2, depending on the timing of their receipt

Download (680KB)

Copyright (c) 2020 Zhdanov K.V., Kozlov K.V., Bulankov Y.I., Zakharenko S.M., Uliukin I.M., Zagorodnikov G.G., Grigoriev S.G., Orlova E.S., Shuklina A.A., Ivanov A.M., Maltsev O.V., Sukachev V.S., Kasyanenko K.V., Grinchenko N.E.

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies