Comparative Diagnostic Accuracy of Pleural Effusion Classification Methods in Cats: An Analysis of Naturally Occurring Cases.

Abstract

BACKGROUND: Pleural effusion (PE) in cats can result from transudative or exudative processes. Transudates are caused by decreased colloid osmotic pressure (&#x2193;COP) or elevated hydrostatic pressure (&#x2191;HP) gradient, while exudates arise from increased pleural capillary permeability. Diagnostic classification approaches traditionally rely on pleural effusion total protein (TP) and total nucleated cell counts (TNCC). In contrast, Light's criteria employing pleural effusion lactate dehydrogenase (LDH), LDHdivided by serum LDH (LDH), and pleural effusion to serum protein ratio (TP) are more accurate than classification based on TP/TNCCin humans and show promise in cats. OBJECTIVES: To assess the diagnostic accuracy of TNCC, LDH, LDH, TP, and TPin classifying feline PEs in &#x2191;HP-transudates, &#x2193;COP-transudates, or exudates and to compare simplified Light's criteria (which relies solely on LDH) with Light's criteria and existing veterinary classification schemes based on TPand TNCC(named Vet-A and Vet-B). METHODS: Cross-sectional study including 83 client-owned cats with PE. RESULTS: There were 55 exudates, 28 &#x2191;HP-transudates, and 0 &#x2193;COP-transudates. All the variables analyzed were significantly different between exudates and transudates. Simplified Light's criteria correctly classified 50/55 exudates and 26/28 &#x2191;HP-transudates (sensitivity&#x2009;=&#x2009;91%, specificity&#x2009;=&#x2009;93%, accuracy&#x2009;=&#x2009;92%). Light's criteria correctly identified 55/55 exudates but misclassified 15/28 &#x2191;HP-transudates as exudates (accuracy&#x2009;=&#x2009;82%). Traditional veterinary schemes showed lower accuracies: Vet-A (57%) and Vet-B (74%). Simplified Light's criteria outperformed Vet-A (p&#x2009;<&#x2009;0.001) and Vet-B (p&#x2009;=&#x2009;0.007) and trended higher than Light's criteria (p&#x2009;=&#x2009;0.096). CONCLUSIONS: Simplified Light's criteria demonstrate excellent diagnostic accuracy, outperforming traditional veterinary classification schemes.