Correlations between Peak Nasal Inspiratory Flow, Acoustic Rhinometry, 4-Phase Rhinomanometry and Reported Nasal Symptoms
Background: Rhinomanometry, acoustic rhinometry (AR) and peak nasal inspiratory flow (PNIF) are popular methods for nasal patency evaluation. The aim of the present study was to compare these three methods with the reported nasal symptoms to determine the best diagnostic tool to assess nasal obstruc...
Ausführliche Beschreibung
Autor*in: |
Giancarlo Ottaviano [verfasserIn] Alfonso Luca Pendolino [verfasserIn] Bruno Scarpa [verfasserIn] Miriam Torsello [verfasserIn] Daniele Sartori [verfasserIn] Enrico Savietto [verfasserIn] Elena Cantone [verfasserIn] Piero Nicolai [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2022 |
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Schlagwörter: |
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Übergeordnetes Werk: |
In: Journal of Personalized Medicine - MDPI AG, 2012, 12(2022), 9, p 1513 |
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Übergeordnetes Werk: |
volume:12 ; year:2022 ; number:9, p 1513 |
Links: |
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DOI / URN: |
10.3390/jpm12091513 |
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Katalog-ID: |
DOAJ005631610 |
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520 | |a Background: Rhinomanometry, acoustic rhinometry (AR) and peak nasal inspiratory flow (PNIF) are popular methods for nasal patency evaluation. The aim of the present study was to compare these three methods with the reported nasal symptoms to determine the best diagnostic tool to assess nasal obstruction. Methods: 101 subjects were evaluated using PNIF, 4-phase rhinomanometry (4PR), AR, Visual Analogue Scale for nasal obstruction (VAS-NO) and Sino-Nasal Outcome Test (SNOT-22). Correlations among PNIF, 4PR, AR, VAS-NO and SNOT-22 were obtained. Results: VAS-NO and SNOT-22 were moderately correlated with each other (r = 0.54, <i<p</i< < 0.001). 4PR was moderately correlated with PNIF (r = –0.31, <i<p</i< = 0.0016) and AR (r = –0.5, <i<p</i< < 0.001). VAS-NO was mildly correlated with PNIF (r = –0.29, <i<p</i< = 0.0034). SNOT-22 was moderately correlated with PNIF (r = –0.31, <i<p</i< = 0.0017). After dividing the population into symptomatic and asymptomatic subjects, based on their VAS-NO score, the former showed significantly lower PNIF values (<i<p</i< = 0.009) and higher 4PR values (<i<p</i< = 0.013) compared to the latter ones. Conclusion: PNIF and 4PR showed a significant moderate correlation with each other, but PNIF showed a significant correlation (weak-moderate) with the reported nasal symptom scores. | ||
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10.3390/jpm12091513 doi (DE-627)DOAJ005631610 (DE-599)DOAJb170b272b2a34511bc23cffd48d612ae DE-627 ger DE-627 rakwb eng Giancarlo Ottaviano verfasserin aut Correlations between Peak Nasal Inspiratory Flow, Acoustic Rhinometry, 4-Phase Rhinomanometry and Reported Nasal Symptoms 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Rhinomanometry, acoustic rhinometry (AR) and peak nasal inspiratory flow (PNIF) are popular methods for nasal patency evaluation. The aim of the present study was to compare these three methods with the reported nasal symptoms to determine the best diagnostic tool to assess nasal obstruction. Methods: 101 subjects were evaluated using PNIF, 4-phase rhinomanometry (4PR), AR, Visual Analogue Scale for nasal obstruction (VAS-NO) and Sino-Nasal Outcome Test (SNOT-22). Correlations among PNIF, 4PR, AR, VAS-NO and SNOT-22 were obtained. Results: VAS-NO and SNOT-22 were moderately correlated with each other (r = 0.54, <i<p</i< < 0.001). 4PR was moderately correlated with PNIF (r = –0.31, <i<p</i< = 0.0016) and AR (r = –0.5, <i<p</i< < 0.001). VAS-NO was mildly correlated with PNIF (r = –0.29, <i<p</i< = 0.0034). SNOT-22 was moderately correlated with PNIF (r = –0.31, <i<p</i< = 0.0017). After dividing the population into symptomatic and asymptomatic subjects, based on their VAS-NO score, the former showed significantly lower PNIF values (<i<p</i< = 0.009) and higher 4PR values (<i<p</i< = 0.013) compared to the latter ones. Conclusion: PNIF and 4PR showed a significant moderate correlation with each other, but PNIF showed a significant correlation (weak-moderate) with the reported nasal symptom scores. PNIF 4-phase rhinomanometry acoustic rhinometry VAS SNOT-22 nasal obstruction Medicine R Alfonso Luca Pendolino verfasserin aut Bruno Scarpa verfasserin aut Miriam Torsello verfasserin aut Daniele Sartori verfasserin aut Enrico Savietto verfasserin aut Elena Cantone verfasserin aut Piero Nicolai verfasserin aut In Journal of Personalized Medicine MDPI AG, 2012 12(2022), 9, p 1513 (DE-627)71862713X (DE-600)2662248-8 20754426 nnns volume:12 year:2022 number:9, p 1513 https://doi.org/10.3390/jpm12091513 kostenfrei https://doaj.org/article/b170b272b2a34511bc23cffd48d612ae kostenfrei https://www.mdpi.com/2075-4426/12/9/1513 kostenfrei https://doaj.org/toc/2075-4426 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2022 9, p 1513 |
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10.3390/jpm12091513 doi (DE-627)DOAJ005631610 (DE-599)DOAJb170b272b2a34511bc23cffd48d612ae DE-627 ger DE-627 rakwb eng Giancarlo Ottaviano verfasserin aut Correlations between Peak Nasal Inspiratory Flow, Acoustic Rhinometry, 4-Phase Rhinomanometry and Reported Nasal Symptoms 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Rhinomanometry, acoustic rhinometry (AR) and peak nasal inspiratory flow (PNIF) are popular methods for nasal patency evaluation. The aim of the present study was to compare these three methods with the reported nasal symptoms to determine the best diagnostic tool to assess nasal obstruction. Methods: 101 subjects were evaluated using PNIF, 4-phase rhinomanometry (4PR), AR, Visual Analogue Scale for nasal obstruction (VAS-NO) and Sino-Nasal Outcome Test (SNOT-22). Correlations among PNIF, 4PR, AR, VAS-NO and SNOT-22 were obtained. Results: VAS-NO and SNOT-22 were moderately correlated with each other (r = 0.54, <i<p</i< < 0.001). 4PR was moderately correlated with PNIF (r = –0.31, <i<p</i< = 0.0016) and AR (r = –0.5, <i<p</i< < 0.001). VAS-NO was mildly correlated with PNIF (r = –0.29, <i<p</i< = 0.0034). SNOT-22 was moderately correlated with PNIF (r = –0.31, <i<p</i< = 0.0017). After dividing the population into symptomatic and asymptomatic subjects, based on their VAS-NO score, the former showed significantly lower PNIF values (<i<p</i< = 0.009) and higher 4PR values (<i<p</i< = 0.013) compared to the latter ones. Conclusion: PNIF and 4PR showed a significant moderate correlation with each other, but PNIF showed a significant correlation (weak-moderate) with the reported nasal symptom scores. PNIF 4-phase rhinomanometry acoustic rhinometry VAS SNOT-22 nasal obstruction Medicine R Alfonso Luca Pendolino verfasserin aut Bruno Scarpa verfasserin aut Miriam Torsello verfasserin aut Daniele Sartori verfasserin aut Enrico Savietto verfasserin aut Elena Cantone verfasserin aut Piero Nicolai verfasserin aut In Journal of Personalized Medicine MDPI AG, 2012 12(2022), 9, p 1513 (DE-627)71862713X (DE-600)2662248-8 20754426 nnns volume:12 year:2022 number:9, p 1513 https://doi.org/10.3390/jpm12091513 kostenfrei https://doaj.org/article/b170b272b2a34511bc23cffd48d612ae kostenfrei https://www.mdpi.com/2075-4426/12/9/1513 kostenfrei https://doaj.org/toc/2075-4426 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2022 9, p 1513 |
allfields_unstemmed |
10.3390/jpm12091513 doi (DE-627)DOAJ005631610 (DE-599)DOAJb170b272b2a34511bc23cffd48d612ae DE-627 ger DE-627 rakwb eng Giancarlo Ottaviano verfasserin aut Correlations between Peak Nasal Inspiratory Flow, Acoustic Rhinometry, 4-Phase Rhinomanometry and Reported Nasal Symptoms 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Rhinomanometry, acoustic rhinometry (AR) and peak nasal inspiratory flow (PNIF) are popular methods for nasal patency evaluation. The aim of the present study was to compare these three methods with the reported nasal symptoms to determine the best diagnostic tool to assess nasal obstruction. Methods: 101 subjects were evaluated using PNIF, 4-phase rhinomanometry (4PR), AR, Visual Analogue Scale for nasal obstruction (VAS-NO) and Sino-Nasal Outcome Test (SNOT-22). Correlations among PNIF, 4PR, AR, VAS-NO and SNOT-22 were obtained. Results: VAS-NO and SNOT-22 were moderately correlated with each other (r = 0.54, <i<p</i< < 0.001). 4PR was moderately correlated with PNIF (r = –0.31, <i<p</i< = 0.0016) and AR (r = –0.5, <i<p</i< < 0.001). VAS-NO was mildly correlated with PNIF (r = –0.29, <i<p</i< = 0.0034). SNOT-22 was moderately correlated with PNIF (r = –0.31, <i<p</i< = 0.0017). After dividing the population into symptomatic and asymptomatic subjects, based on their VAS-NO score, the former showed significantly lower PNIF values (<i<p</i< = 0.009) and higher 4PR values (<i<p</i< = 0.013) compared to the latter ones. Conclusion: PNIF and 4PR showed a significant moderate correlation with each other, but PNIF showed a significant correlation (weak-moderate) with the reported nasal symptom scores. PNIF 4-phase rhinomanometry acoustic rhinometry VAS SNOT-22 nasal obstruction Medicine R Alfonso Luca Pendolino verfasserin aut Bruno Scarpa verfasserin aut Miriam Torsello verfasserin aut Daniele Sartori verfasserin aut Enrico Savietto verfasserin aut Elena Cantone verfasserin aut Piero Nicolai verfasserin aut In Journal of Personalized Medicine MDPI AG, 2012 12(2022), 9, p 1513 (DE-627)71862713X (DE-600)2662248-8 20754426 nnns volume:12 year:2022 number:9, p 1513 https://doi.org/10.3390/jpm12091513 kostenfrei https://doaj.org/article/b170b272b2a34511bc23cffd48d612ae kostenfrei https://www.mdpi.com/2075-4426/12/9/1513 kostenfrei https://doaj.org/toc/2075-4426 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2022 9, p 1513 |
allfieldsGer |
10.3390/jpm12091513 doi (DE-627)DOAJ005631610 (DE-599)DOAJb170b272b2a34511bc23cffd48d612ae DE-627 ger DE-627 rakwb eng Giancarlo Ottaviano verfasserin aut Correlations between Peak Nasal Inspiratory Flow, Acoustic Rhinometry, 4-Phase Rhinomanometry and Reported Nasal Symptoms 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Rhinomanometry, acoustic rhinometry (AR) and peak nasal inspiratory flow (PNIF) are popular methods for nasal patency evaluation. The aim of the present study was to compare these three methods with the reported nasal symptoms to determine the best diagnostic tool to assess nasal obstruction. Methods: 101 subjects were evaluated using PNIF, 4-phase rhinomanometry (4PR), AR, Visual Analogue Scale for nasal obstruction (VAS-NO) and Sino-Nasal Outcome Test (SNOT-22). Correlations among PNIF, 4PR, AR, VAS-NO and SNOT-22 were obtained. Results: VAS-NO and SNOT-22 were moderately correlated with each other (r = 0.54, <i<p</i< < 0.001). 4PR was moderately correlated with PNIF (r = –0.31, <i<p</i< = 0.0016) and AR (r = –0.5, <i<p</i< < 0.001). VAS-NO was mildly correlated with PNIF (r = –0.29, <i<p</i< = 0.0034). SNOT-22 was moderately correlated with PNIF (r = –0.31, <i<p</i< = 0.0017). After dividing the population into symptomatic and asymptomatic subjects, based on their VAS-NO score, the former showed significantly lower PNIF values (<i<p</i< = 0.009) and higher 4PR values (<i<p</i< = 0.013) compared to the latter ones. Conclusion: PNIF and 4PR showed a significant moderate correlation with each other, but PNIF showed a significant correlation (weak-moderate) with the reported nasal symptom scores. PNIF 4-phase rhinomanometry acoustic rhinometry VAS SNOT-22 nasal obstruction Medicine R Alfonso Luca Pendolino verfasserin aut Bruno Scarpa verfasserin aut Miriam Torsello verfasserin aut Daniele Sartori verfasserin aut Enrico Savietto verfasserin aut Elena Cantone verfasserin aut Piero Nicolai verfasserin aut In Journal of Personalized Medicine MDPI AG, 2012 12(2022), 9, p 1513 (DE-627)71862713X (DE-600)2662248-8 20754426 nnns volume:12 year:2022 number:9, p 1513 https://doi.org/10.3390/jpm12091513 kostenfrei https://doaj.org/article/b170b272b2a34511bc23cffd48d612ae kostenfrei https://www.mdpi.com/2075-4426/12/9/1513 kostenfrei https://doaj.org/toc/2075-4426 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2022 9, p 1513 |
allfieldsSound |
10.3390/jpm12091513 doi (DE-627)DOAJ005631610 (DE-599)DOAJb170b272b2a34511bc23cffd48d612ae DE-627 ger DE-627 rakwb eng Giancarlo Ottaviano verfasserin aut Correlations between Peak Nasal Inspiratory Flow, Acoustic Rhinometry, 4-Phase Rhinomanometry and Reported Nasal Symptoms 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Rhinomanometry, acoustic rhinometry (AR) and peak nasal inspiratory flow (PNIF) are popular methods for nasal patency evaluation. The aim of the present study was to compare these three methods with the reported nasal symptoms to determine the best diagnostic tool to assess nasal obstruction. Methods: 101 subjects were evaluated using PNIF, 4-phase rhinomanometry (4PR), AR, Visual Analogue Scale for nasal obstruction (VAS-NO) and Sino-Nasal Outcome Test (SNOT-22). Correlations among PNIF, 4PR, AR, VAS-NO and SNOT-22 were obtained. Results: VAS-NO and SNOT-22 were moderately correlated with each other (r = 0.54, <i<p</i< < 0.001). 4PR was moderately correlated with PNIF (r = –0.31, <i<p</i< = 0.0016) and AR (r = –0.5, <i<p</i< < 0.001). VAS-NO was mildly correlated with PNIF (r = –0.29, <i<p</i< = 0.0034). SNOT-22 was moderately correlated with PNIF (r = –0.31, <i<p</i< = 0.0017). After dividing the population into symptomatic and asymptomatic subjects, based on their VAS-NO score, the former showed significantly lower PNIF values (<i<p</i< = 0.009) and higher 4PR values (<i<p</i< = 0.013) compared to the latter ones. Conclusion: PNIF and 4PR showed a significant moderate correlation with each other, but PNIF showed a significant correlation (weak-moderate) with the reported nasal symptom scores. PNIF 4-phase rhinomanometry acoustic rhinometry VAS SNOT-22 nasal obstruction Medicine R Alfonso Luca Pendolino verfasserin aut Bruno Scarpa verfasserin aut Miriam Torsello verfasserin aut Daniele Sartori verfasserin aut Enrico Savietto verfasserin aut Elena Cantone verfasserin aut Piero Nicolai verfasserin aut In Journal of Personalized Medicine MDPI AG, 2012 12(2022), 9, p 1513 (DE-627)71862713X (DE-600)2662248-8 20754426 nnns volume:12 year:2022 number:9, p 1513 https://doi.org/10.3390/jpm12091513 kostenfrei https://doaj.org/article/b170b272b2a34511bc23cffd48d612ae kostenfrei https://www.mdpi.com/2075-4426/12/9/1513 kostenfrei https://doaj.org/toc/2075-4426 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2022 9, p 1513 |
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Giancarlo Ottaviano @@aut@@ Alfonso Luca Pendolino @@aut@@ Bruno Scarpa @@aut@@ Miriam Torsello @@aut@@ Daniele Sartori @@aut@@ Enrico Savietto @@aut@@ Elena Cantone @@aut@@ Piero Nicolai @@aut@@ |
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Giancarlo Ottaviano misc PNIF misc 4-phase rhinomanometry misc acoustic rhinometry misc VAS misc SNOT-22 misc nasal obstruction misc Medicine misc R Correlations between Peak Nasal Inspiratory Flow, Acoustic Rhinometry, 4-Phase Rhinomanometry and Reported Nasal Symptoms |
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Correlations between Peak Nasal Inspiratory Flow, Acoustic Rhinometry, 4-Phase Rhinomanometry and Reported Nasal Symptoms PNIF 4-phase rhinomanometry acoustic rhinometry VAS SNOT-22 nasal obstruction |
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Correlations between Peak Nasal Inspiratory Flow, Acoustic Rhinometry, 4-Phase Rhinomanometry and Reported Nasal Symptoms |
abstract |
Background: Rhinomanometry, acoustic rhinometry (AR) and peak nasal inspiratory flow (PNIF) are popular methods for nasal patency evaluation. The aim of the present study was to compare these three methods with the reported nasal symptoms to determine the best diagnostic tool to assess nasal obstruction. Methods: 101 subjects were evaluated using PNIF, 4-phase rhinomanometry (4PR), AR, Visual Analogue Scale for nasal obstruction (VAS-NO) and Sino-Nasal Outcome Test (SNOT-22). Correlations among PNIF, 4PR, AR, VAS-NO and SNOT-22 were obtained. Results: VAS-NO and SNOT-22 were moderately correlated with each other (r = 0.54, <i<p</i< < 0.001). 4PR was moderately correlated with PNIF (r = –0.31, <i<p</i< = 0.0016) and AR (r = –0.5, <i<p</i< < 0.001). VAS-NO was mildly correlated with PNIF (r = –0.29, <i<p</i< = 0.0034). SNOT-22 was moderately correlated with PNIF (r = –0.31, <i<p</i< = 0.0017). After dividing the population into symptomatic and asymptomatic subjects, based on their VAS-NO score, the former showed significantly lower PNIF values (<i<p</i< = 0.009) and higher 4PR values (<i<p</i< = 0.013) compared to the latter ones. Conclusion: PNIF and 4PR showed a significant moderate correlation with each other, but PNIF showed a significant correlation (weak-moderate) with the reported nasal symptom scores. |
abstractGer |
Background: Rhinomanometry, acoustic rhinometry (AR) and peak nasal inspiratory flow (PNIF) are popular methods for nasal patency evaluation. The aim of the present study was to compare these three methods with the reported nasal symptoms to determine the best diagnostic tool to assess nasal obstruction. Methods: 101 subjects were evaluated using PNIF, 4-phase rhinomanometry (4PR), AR, Visual Analogue Scale for nasal obstruction (VAS-NO) and Sino-Nasal Outcome Test (SNOT-22). Correlations among PNIF, 4PR, AR, VAS-NO and SNOT-22 were obtained. Results: VAS-NO and SNOT-22 were moderately correlated with each other (r = 0.54, <i<p</i< < 0.001). 4PR was moderately correlated with PNIF (r = –0.31, <i<p</i< = 0.0016) and AR (r = –0.5, <i<p</i< < 0.001). VAS-NO was mildly correlated with PNIF (r = –0.29, <i<p</i< = 0.0034). SNOT-22 was moderately correlated with PNIF (r = –0.31, <i<p</i< = 0.0017). After dividing the population into symptomatic and asymptomatic subjects, based on their VAS-NO score, the former showed significantly lower PNIF values (<i<p</i< = 0.009) and higher 4PR values (<i<p</i< = 0.013) compared to the latter ones. Conclusion: PNIF and 4PR showed a significant moderate correlation with each other, but PNIF showed a significant correlation (weak-moderate) with the reported nasal symptom scores. |
abstract_unstemmed |
Background: Rhinomanometry, acoustic rhinometry (AR) and peak nasal inspiratory flow (PNIF) are popular methods for nasal patency evaluation. The aim of the present study was to compare these three methods with the reported nasal symptoms to determine the best diagnostic tool to assess nasal obstruction. Methods: 101 subjects were evaluated using PNIF, 4-phase rhinomanometry (4PR), AR, Visual Analogue Scale for nasal obstruction (VAS-NO) and Sino-Nasal Outcome Test (SNOT-22). Correlations among PNIF, 4PR, AR, VAS-NO and SNOT-22 were obtained. Results: VAS-NO and SNOT-22 were moderately correlated with each other (r = 0.54, <i<p</i< < 0.001). 4PR was moderately correlated with PNIF (r = –0.31, <i<p</i< = 0.0016) and AR (r = –0.5, <i<p</i< < 0.001). VAS-NO was mildly correlated with PNIF (r = –0.29, <i<p</i< = 0.0034). SNOT-22 was moderately correlated with PNIF (r = –0.31, <i<p</i< = 0.0017). After dividing the population into symptomatic and asymptomatic subjects, based on their VAS-NO score, the former showed significantly lower PNIF values (<i<p</i< = 0.009) and higher 4PR values (<i<p</i< = 0.013) compared to the latter ones. Conclusion: PNIF and 4PR showed a significant moderate correlation with each other, but PNIF showed a significant correlation (weak-moderate) with the reported nasal symptom scores. |
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The aim of the present study was to compare these three methods with the reported nasal symptoms to determine the best diagnostic tool to assess nasal obstruction. Methods: 101 subjects were evaluated using PNIF, 4-phase rhinomanometry (4PR), AR, Visual Analogue Scale for nasal obstruction (VAS-NO) and Sino-Nasal Outcome Test (SNOT-22). Correlations among PNIF, 4PR, AR, VAS-NO and SNOT-22 were obtained. Results: VAS-NO and SNOT-22 were moderately correlated with each other (r = 0.54, <i<p</i< < 0.001). 4PR was moderately correlated with PNIF (r = –0.31, <i<p</i< = 0.0016) and AR (r = –0.5, <i<p</i< < 0.001). VAS-NO was mildly correlated with PNIF (r = –0.29, <i<p</i< = 0.0034). SNOT-22 was moderately correlated with PNIF (r = –0.31, <i<p</i< = 0.0017). After dividing the population into symptomatic and asymptomatic subjects, based on their VAS-NO score, the former showed significantly lower PNIF values (<i<p</i< = 0.009) and higher 4PR values (<i<p</i< = 0.013) compared to the latter ones. 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