AI Article Synopsis

  • - This study investigates how different inflammatory types of chronic rhinosinusitis (CRS) are linked to clinical symptoms and examines the use of specific biomarkers (MPO and ECP) in diagnosing these types.
  • - Researchers collected data on symptoms and nasal secretions from CRS patients, finding distinct clinical scores between endotypes. They also measured levels of immune cells and biomarkers in both tissues and secretions.
  • - Results indicate that certain biomarker levels can effectively differentiate between CRS endotypes, with MPO and ECP being valuable for diagnosis, suggesting a clear connection between clinical presentation and inflammatory endotypes.

Article Abstract

Objectives: To explore associations between inflammatory endotypes and clinical presentations in CRS. To investigate the value of secretions myeloperoxidase (MPO) and eosinophilic cationic protein (ECP) detections in the diagnosis of endotypes of chronic rhinosinusitis (CRS), so as to provide guidance for the clinical application of MPO and ECP detection in secretions.

Methods: We collected clinical symptom scores from patients with CRS and examined the differences between endotypes in clinical features. Patients' nasal secretions and polyps (or middle turbinate for control) were collected and their NEU number, EOS%, MPO and ECP levels were measured. Correlation analysis was performed for these biomarkers in secretions and tissues, respectively. Receiver operating characteristic curves were used to assess the predictive potential of the biomarkers mentioned above in nasal secretions.

Results: Patients with Eos+Neu+ and Eos+Neu-CRS scored highest in most clinical symptom scores, while Eos-Neu+ and Eos-Neu-CRS scored lowest. Correlation analysis showed that tissues NEU number was correlated with NEU number and MPO level in nasal secretions (R = 0.4088; 0.6613); tissues EOS % was correlated with EOS% and ECP level in nasal secretions (R = 0.2344; 0.5774). To diagnose Neu+CRS, the highest area under the curve (AUC) (0.8961) was determined for MPO in secretions; the highest AUC (0.7400) was determined for NEU number in secretions. To diagnose Eos+Neu-CRS from Eos-Neu-CRS in Neu-CRS, the highest AUC (0.8801) was determined for ECP in secretions.

Conclusions: Clinical presentations are directly associated with CRS endotypes. Measurement of MPO and ECP in nasal secretions is useful for the endotypes diagnosis of CRS.

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Source
http://dx.doi.org/10.1007/s00405-023-07903-3DOI Listing

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