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Evaluation of the SSIMPLE method shows high sensitivity and specificity for airway eosinophilia, indicating potential clinical utility.
Background Sputum cytology utilizing routine dithiothreitol (DTT) processing is a well-established method to assess airway eosinophilia. However, the multi-step nature of this protocol requires substantial resources, thereby limiting its broader clinical applicability. To address this, we evaluated formalin-fixed, paraffin-embedded (FFPE) sputum plugs as a simplified method for measuring airway eosinophilia. Methods Excess sputum plugs from 113 patients with complex airway disease and 16 asthma patients on corticosteroid or monoclonal antibodies were fixed in 10% formalin and embedded in paraffin (SSIMPLE method). FFPE blocks were sectioned, stained with hematoxylin and eosin, and assessed by four blinded observers, who performed a differential cell count on 400 total non-squamous cells. Eosinophil proportions were then compared between matched FFPE and DTT-processed sputum slides. Airway eosinophilia was defined as ≥2.2% sputum eosinophils in DTT-processed samples. Results Of the 113 FFPE slides, 96% were adequate for cellular analysis, with 90% having matched DTT-processed sputum slides. The SSIMPLE method demonstrated excellent inter-observer reproducibility (consistency: 0.975; agreement: 0.976). Eosinophil proportions obtained from SSIMPLE and DTT processing were significantly correlated (ρ=0.9, p<0.0001) and showed agreement (Bland-Altman, −0.38±9.51). A cut-off of 2.6% detected airway eosinophilia with high sensitivity (85.4%) and specificity (93.0%) using the SSIMPLE method, showing strong agreement with the routine DTT method, as indicated by an area under the curve of 0.957. Additionally, the method effectively assessed treatment responsiveness to monoclonal antibody therapy. Conclusion The SSIMPLE method is a reliable, non-inferior approach to DTT processing for detecting airway eosinophilia in complex airway diseases; with high reproducibility and strong concordance in monitoring treatment responsiveness.
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Patel et al. (2025) studied this question.
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