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Clinical identification of malignant pleural effusions

Authors :
Jianlong Jia
Antonia Marazioti
Apostolos Voulgaridis
Ioannis Psallidas
Anne-Sophie Lamort
Marianthi Iliopoulou
Anthi C. Krontira
Ioannis Lilis
Rachelle Asciak
Nikolaos I. Kanellakis
Najib M. Rahman
Kyriakos Karkoulias
Konstantinos Spiropoulos
Ruonan Liu
Jan-Christian Kaiser
Georgios T. Stathopoulos
Source :
Translational Oncology, Vol 39, Iss , Pp 101800- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

Introduction: Pleural effusions frequently signal disseminated cancer. Diagnostic markers of pleural malignancy at presentation that would assess cancer risk and would streamline diagnostic decisions remain unidentified. Methods: A consecutive cohort of 323 patients with pleural effusion (PE) from different etiologies were recruited between 2013 and 2017 and was retrospectively analyzed. Data included history, chest X-ray, and blood/pleural fluid cell counts and biochemistry. Group comparison, receiver-operator characteristics, unsupervised hierarchical clustering, binary logistic regression, and random forests were used to develop the malignant pleural effusion detection (MAPED) score. MAPED was validated in an independent retrospective UK cohort (n = 238). Results: Five variables showed significant diagnostic power and were incorporated into the 5-point MAPED score. Age > 55 years, effusion size > 50% of the most affected lung field, pleural neutrophil count 〈 2,500/mm3, effusion protein 〉 3.5 g/dL, and effusion lactate dehydrogenase > 250 U/L, each scoring one point, predicted underlying cancer with the area under curve(AUC) = 0.819 (P < 10−15) in the derivation cohort. The integrated discrimination improvement of MAPED scores showed an increase compared to cytology (p

Details

Language :
English
ISSN :
19365233
Volume :
39
Issue :
101800-
Database :
Directory of Open Access Journals
Journal :
Translational Oncology
Publication Type :
Academic Journal
Accession number :
edsdoj.8ac2e971c864332b05a9e56510b480a
Document Type :
article
Full Text :
https://doi.org/10.1016/j.tranon.2023.101800