From Presentation to Diagnosis: Patterns and Etiologies of Pleural Effusion - A Retrospective Study at Mansoura University

Recent evidence emphasizes that differentiation based on biochemical and radiological characteristics significantly influences clinical decision-making. Exudative effusions usually reflect pleural inflammation or injury and often require further diagnostic procedures, such as cytological examination or thoracoscopy, to determine specific causes including malignancy or tuberculosis. In contrast, transudative effusions are typically associated with systemic disorders and are generally managed by treating the underlying condition.

Although Light's criteria continue to serve as the standard diagnostic tool, ongoing research seeks to refine diagnostic thresholds and explore adjunctive biochemical markers and imaging modalities to improve sensitivity and specificity in distinguishing effusion types and identifying underlying etiologies.

Several international studies have described the epidemiology and causes of pleural effusion across different populations; however, data from Egypt remain limited, particularly from tertiary care centers such as Mansoura University Hospitals. Understanding the patterns and etiologies of pleural effusion within a specific population-especially in regions with distinct epidemiological characteristics-is essential from both scientific and clinical perspectives.

Accurate categorization into transudative and exudative effusions using biochemical and imaging criteria allows clinicians to tailor the diagnostic approach appropriately. While transudative effusions often require conservative management targeting the primary systemic condition, exudative effusions frequently necessitate more invasive investigations, including pleural biopsy, thoracoscopy, or advanced imaging techniques to establish a definitive diagnosis.

Such stratification helps minimize unnecessary invasive procedures, reduce diagnostic delays, and optimize healthcare resource utilization-particularly in settings with limited access to advanced interventional diagnostics. Furthermore, local data regarding prevalence and clinical presentation provide valuable insights into regional disease burdens, such as higher rates of tuberculosis or malignancy, thereby supporting more effective healthcare planning and targeted management protocols.