140
Views
0
CrossRef citations to date
0
Altmetric
Research Articles

Measurement of lactate in pleural fluid rapidly identify infection and guide therapy

, , , &
Pages 396-404 | Received 06 Sep 2022, Accepted 12 Mar 2023, Published online: 06 Apr 2023
 

Abstract

Background

Measurements of pleural fluid biomarkers for rapid identification of complicated parapneumonic effusion (CPPE) are crucial for optimal management. Previous studies for biomarker evaluation were however based on pleura culture, not modern DNA technique. Lactate has not been thoroughly studied earlier as a potential biomarker in this regard.

Objectives

To evaluate whether the routine biomarkers pH, glucose, lactate dehydrogenase (LDH) measured in pleural fluid in a microbiological well characterised cohort could differentiate simple parapneumonic effusion (SPPE) from CPPE and if pleural fluid lactate could be of additional use in this discrimination.

Methods

Pleural fluid prospectively collected from adult patients (n = 112) with PPE admitted to the Departments of Infectious Diseases (DIDs) at four Stockholm County hospitals were characterised microbiologically with bacterial culture and 16S rDNA sequencing, and biochemically with pH, glucose, LDH and lactate.

Results

Forty and seventy two patients were categorised as SPPE/CPPE. The median values between SPPE/CPPE differed significantly for all biomarkers with varying overlap. Receiver operating characteristics (ROC) curves showed the area under the curve (AUC) for pH 0.905 (CI 0.847–0.963), glucose 0.861 (CI 0.79–0.932), LDH 0.917 (CI 0.860–0.974) and lactate 0.927 (CI 0.877–0.977), corresponding to best cut-off levels and sensitivity/specificity for pH of 7.255, 0.819/0.9, glucose 5.35 mmol/L, 0.847/0.775, LDH 9.8 µcat/L, 0.905/0.825 and lactate 4.9 mmol/L, 0.875/0.85.

Conclusions

To distinguish between SPPE/CPPE, pH and LDH performed well, but optimal cut-off values differed from earlier established recommendations. Pleura lactate had the largest AUC of the investigated biomarkers and may be used in the analyses of PPE-staging.

Acknowledgements

The authors thank the staff at Danderyd Hospital and Södersjukhuset for sample collection of the patients with PPE admitted to their units.

Author contributions

Niclas Johansson contributed with data collection, data analyses and manuscript preparation, Karin Andersson Ydsten contributed with data collection, data analyses and manuscript preparation. Carolina Backman-Johansson contributed with data analyses and manuscript preparation. Martin Vondracek contributed with data collection and analyses, Jonas Hedlund contributed with data collection, data analyses and manuscript preparation.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by ALF Grants, Stockholm County [grant number 20110088].

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.