Preview

Medical alphabet

Advanced search
Open Access Open Access  Restricted Access Subscription or Fee Access

Interpretation of results of automated analysis of pleural effusion (clinical cases)

https://doi.org/10.33667/2078-5631-2023-23-40-45

Abstract

   Automated analysis of effusion fluids, providing a large amount of objective information about a biological sample, has significantly expanded the diagnostic capabilities of the cytological service. At the same time, there are currently no unified algorithms for interpreting the obtained data.

   The aim of the work was to develop, based on the results of automated analysis of pleural fluids, alternative predictions of the genesis of the effusion (benign / malignant).

   The study was carried out on the basis of the Clinical Regional Hospital No. 2 in Krasnodar (Russia). The results of automated analysis of biological fluids obtained using the Sysmex XN analyzer were compared with the data of cytological, laboratory and instrumental studies. The article presents some of our own developments that can serve as indicative criteria for interpreting the results of automated analysis of biological fluids. It has been established that in terms of differential diagnosis of the genesis of effusion, the indicators of total cytosis (TC-BF) and the absolute content of highly fluorescent mononuclear cells (HF-BF#) are the most informative. Accounting for clinical data, results of laboratory and instrumental studies increases the informative value of automated analysis of biological fluids.

About the Authors

I. B. Baranovskaya
Regional Clinical Hospital No. 2
Russian Federation

Irina B. Baranovskaya,  PhD Bio, biologist

Krasnodar



K. A. Kotivets
Regional Clinical Hospital No. 2
Russian Federation

Kristina A. Kotivets, clinical laboratory diagnostics doctor

Krasnodar



I. P. Sysoeva
Regional Clinical Hospital No. 2
Russian Federation

Irina P. Sysoeva, biologist, head of laboratory

clinical diagnostic laboratory

Krasnodar



References

1. Ai T., Tabe Y., Takemura H. et al. Novel flowcytometry-based approach of malignant cell detection in body fluids using an automated hematology analyzer. PLoS One. 2018; (9): e0190886. DOI: 10.1371/journal.pone.0190886.

2. Rastogi L., Dass J., Arya V. et al. Evaluation of high-fluorescence body fluid (HF-BF) parameter as a screening tool of malignancy in body fluids. Indian J Pathol Microbiol. 2019; 62 (4): 572–577. DOI: 10.4103/ijpm.ijpm_802_18. PMID: 31611442

3. Favresse J., Boland L., Schellen M. et al. Two-site evaluation of a new workflow for the detection of malignant cells on the Sysmex XN-1000 body fluid analyzer. J Lab Hematol. 2020; 42 (5): 544–551. DOI: 10.1111/ijlh.13187.

4. Krenke R., Nasilowski J., Korczynski P. et al. Incidence and aetiology of eosinophilic pleural effusion. Eur Respir J. 2009 (34): 1111–7. DOI: 10.1183/09031936.00197708.

5. Baranovskaya I. B., Sysoeva I. P. Diagnostic capabilities of automated analysis of effusion fluids in the screening of atypical cells. Handbook of the head of the СDL. 2018; (9): 25–31.


Review

For citations:


Baranovskaya I.B., Kotivets K.A., Sysoeva I.P. Interpretation of results of automated analysis of pleural effusion (clinical cases). Modern Laboratory (2). 2023;(23):40-45. (In Russ.) https://doi.org/10.33667/2078-5631-2023-23-40-45

Views: 262


ISSN 2078-5631 (Print)
ISSN 2949-2807 (Online)