Predicting Malignant and Paramalignant Pleural Effusions by Combining Clinical, Radiological and Pleural Fluid Analytical Parameters

Fecha de publicación:

Autores de IIS La Fe

Participantes ajenos a IIS La Fe

  • Herrera Lara S
  • Fernandez-Fabrellas, E
  • Juan Samper G
  • Marco Buades J
  • Pinilla Moreno A
  • Morales Suárez-Varela M

Grupos

Abstract

Background The usefulness of clinical, radiological and pleural fluid analytical parameters for diagnosing malignant and paramalignant pleural effusion is not clearly stated. Hence this study aimed to identify possible predictor variables of diagnosing malignancy in pleural effusion of unknown aetiology. Methods Clinical, radiological and pleural fluid analytical parameters were obtained from consecutive patients who had suffered pleural effusion of unknown aetiology. They were classified into three groups according to their final diagnosis: malignant, paramalignant and benign pleural effusion. The CHAID (Chi-square automatic interaction detector) methodology was used to estimate the implication of the clinical, radiological and analytical variables in daily practice through decision trees. Results Of 71 patients, malignant (n = 31), paramalignant (n = 15) and benign (n = 25), smoking habit, dyspnoea, weight loss, radiological characteristics (mass, node, adenopathies and pleural thickening) and pleural fluid analytical parameters (pH and glucose) distinguished malignant and paramalignant pleural effusions (all with a p < 0.05). Decision tree 1 classified 77.8% of malignant and paramalignant pleural effusions in step 2. Decision tree 2 classified 83.3% of malignant pleural effusions in step 2, 73.3% of paramalignant pleural effusions and 91.7% of benign ones. Conclusions The data herein suggest that the identified predictor values applied to tree diagrams, which required no extraordinary measures, have a higher rate of correct identification of malignant, paramalignant and benign effusions when compared to techniques available today and proved most useful for usual clinical practice. Future studies are still needed to further improve the classification of patients.

Datos de la publicación

ISSN/ISSNe:
0341-2040, 1432-1750

LUNG  SPRINGER

Tipo:
Article
Páginas:
653-660
PubMed:
28656381
Factor de Impacto:
0,790 SCImago
Cuartil:
Q2 SCImago

Citas Recibidas en Web of Science: 31

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Keywords

  • Cancer; Diagnosis; Effusion; Pleural effusion; Malignant

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