Early determination of bacteriological status of biological fluid samples as effective method of diagnosing infectious complications in patients of transplant clinic-Reference-Cited by-同舟云学术

Early determination of bacteriological status of biological fluid samples as effective method of diagnosing infectious complications in patients of transplant clinic

Published:2020-01-23 Issue:32 Volume:3 Page:11-14
ISSN:2078-5631
Container-title:Medical alphabet
language:
Short-container-title:Medicinskij alfavit

Author:

Miloserdov I. A.¹,Drabkina I. V.¹,Saydulaev D. A.¹,Kurbangulov I. R.¹,Sharapchenko S. O.¹,Kormilitsina V. G.¹,Safonova T. B.²,Petrukhina M. I.²,Gabrielyan N. I.¹

Affiliation:

1. Federal Research Centre for Transplantology and Artificial Organs n. a. academician V. I. Shumakov

2. Russian Medical Academy for Continuing Professional Education

Abstract

The concept of quality assurance in the health care system is popular for medical institutions all over the world. The problem of global multidrug resistance of pathogenic and opportunistic flora causes an urgent need for new approaches and methods of renal failure (particularly bacteriuria) rapid diagnosis.Objectives. Evaluate the benefits of laser light-scattering method in early diagnosis of renal failure and infectious complications after kidney transplantation.Methods. 220 urine samples from 129 patients were examined. Each sample was evaluated by traditional method and an automated laser light-scattering system simultaneously.Results. The automated method allowed to get the result in an average of 2 hours and give a result of bacteriuria availability with indicating the class of the pathogen by Gram. Discrepancy between the results of classical and automated methods was observed in 6.8 % of all samples, which is the standard for similar clinical trials.Conclusions. Laser light-scattering method has clear advantages over traditional methods. Diagnosis of urinary tract infections in kidney recipients in a shorter time (3.5 hours) is especially important. The economic benefit of automated process allows to reduce the costs of the hospital for bacteriological studies by 1.5 times.

Publisher

Alfmed LLC

Subject

Materials Chemistry,Economics and Econometrics,Media Technology,Forestry

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