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The Sinonasal Outcome Test (SNOT-22) Is a Poor Diagnostic Tool for Chronic Rhinosinusitis
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Background: The SNOT-22 is a validated and widely used outcomes tool in chronic rhinosinusitis (CRS). We hypothesized that SNOT-22 scores and response patterns could be used as a diagnostic tool to differentiate between patients with CRS and those who present with CRS-like symptoms but prove not to have CRS. Methodology/Principal: SNOT-22 measurements were collected from 311 patients who presented with a chief complaint of sinusitis to a tertiary rhinology practice. Following a full diagnostic evaluation, patients were diagnosed with CRS or determined to have non-CRS diagnoses. A response pattern “heatmap” of the SNOT-22 scores for each group was compared. An optimal cutoff point for total SNOT-22 score in predicting CRS was sought using a receiver operating characteristic (ROC) curve. Results: A total of 109 patients were diagnosed with CRS and 202 patients were assigned to non-CRS. The non-CRS SNOT-22 total score histogram had lower overall scores compared to the CRS group, although there was substantial overlap. The CRS SNOT-22 heatmaps had a distinctive pattern compared to the non-CRS group. As individual measures, 3 of the 4 cardinal symptoms of CRS (nasal congestion, loss of smell, and rhinorrhea) were found to be significantly different between the 2 groups ( P < .002). However, the ROC analysis showed the total SNOT-22 score to be a poor instrument to differentiate CRS from non-CRS patients. Conclusions: Our results cause us to reject our hypothesis and conclude that, while an effective outcomes tool, the SNOT-22 (using total score and response pattern) is a poor differentiator between CRS and non-CRS patients.
Title: The Sinonasal Outcome Test (SNOT-22) Is a Poor Diagnostic Tool for Chronic Rhinosinusitis
Description:
Background: The SNOT-22 is a validated and widely used outcomes tool in chronic rhinosinusitis (CRS).
We hypothesized that SNOT-22 scores and response patterns could be used as a diagnostic tool to differentiate between patients with CRS and those who present with CRS-like symptoms but prove not to have CRS.
Methodology/Principal: SNOT-22 measurements were collected from 311 patients who presented with a chief complaint of sinusitis to a tertiary rhinology practice.
Following a full diagnostic evaluation, patients were diagnosed with CRS or determined to have non-CRS diagnoses.
A response pattern “heatmap” of the SNOT-22 scores for each group was compared.
An optimal cutoff point for total SNOT-22 score in predicting CRS was sought using a receiver operating characteristic (ROC) curve.
Results: A total of 109 patients were diagnosed with CRS and 202 patients were assigned to non-CRS.
The non-CRS SNOT-22 total score histogram had lower overall scores compared to the CRS group, although there was substantial overlap.
The CRS SNOT-22 heatmaps had a distinctive pattern compared to the non-CRS group.
As individual measures, 3 of the 4 cardinal symptoms of CRS (nasal congestion, loss of smell, and rhinorrhea) were found to be significantly different between the 2 groups ( P < .
002).
However, the ROC analysis showed the total SNOT-22 score to be a poor instrument to differentiate CRS from non-CRS patients.
Conclusions: Our results cause us to reject our hypothesis and conclude that, while an effective outcomes tool, the SNOT-22 (using total score and response pattern) is a poor differentiator between CRS and non-CRS patients.
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