Model analysis of multiple breath nitrogen washout data : robustness to variations in breathing pattern
© 2022. The Author(s), under exclusive licence to Springer Nature B.V..
We recently developed a model-based method for analyzing multiple breath nitrogen washout data that does not require identification of Phase-III. In the present study, we assessed the effect of irregular breathing patterns on the intra-subject variabilities of the model parameters. Nitrogen fraction at the mouth was measured in 18 healthy and 20 asthmatic subjects during triplicate performances of multiple breath nitrogen washout, during controlled (target tidal volume 1 L at 8-12 breaths per minute) and free (unrestricted) breathing. The parameters Scond, Sacin and functional residual capacity (FRC) were obtained by conventional analysis of the slope of Phase-III. Fitting the model to the washout data provided functional residual capacity (FRCM), dead space volume (VD), the coefficient of variation of regional specific ventilation ([Formula: see text]), and the model equivalent of Sacin (Sacin-M). Intra-participant coefficients of variation for the model parameters for both health and asthma were FRCM < 5.2%, VD < 5.4%, [Formula: see text] < 9.0%, and Sacin-M < 45.6% for controlled breathing, and FRCM < 4.6%, VD < 5.3%, [Formula: see text] < 13.2%, and Sacin-M < 103.2% for free breathing. The coefficients of variation limits for conventional parameters were FRC < 6.1%, with Scond < 73.6% and Sacin < 49.2% for controlled breathing and Scond < 35.0% and Sacin < 74.4% for free breathing. The model-fitting approach to multiple breath nitrogen washout analysis provides a measure of regional ventilation heterogeneity in [Formula: see text] that is less affected by irregularities in the breathing pattern than its corresponding Phase-III slope analysis parameter Scond.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2023 |
|---|---|
| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:37 |
|---|---|
| Enthalten in: |
Journal of clinical monitoring and computing - 37(2023), 2 vom: 23. Apr., Seite 409-420 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Bates, Jason H T [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
Controlled breathing |
|---|
| Anmerkungen: |
Date Completed 04.04.2023 Date Revised 10.04.2023 published: Print-Electronic Citation Status MEDLINE |
|---|
| doi: |
10.1007/s10877-022-00915-0 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM346659337 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM346659337 | ||
| 003 | DE-627 | ||
| 005 | 20231226031959.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231226s2023 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1007/s10877-022-00915-0 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1155.xml |
| 035 | |a (DE-627)NLM346659337 | ||
| 035 | |a (NLM)36149575 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Bates, Jason H T |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Model analysis of multiple breath nitrogen washout data |b robustness to variations in breathing pattern |
| 264 | 1 | |c 2023 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 04.04.2023 | ||
| 500 | |a Date Revised 10.04.2023 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2022. The Author(s), under exclusive licence to Springer Nature B.V. | ||
| 520 | |a We recently developed a model-based method for analyzing multiple breath nitrogen washout data that does not require identification of Phase-III. In the present study, we assessed the effect of irregular breathing patterns on the intra-subject variabilities of the model parameters. Nitrogen fraction at the mouth was measured in 18 healthy and 20 asthmatic subjects during triplicate performances of multiple breath nitrogen washout, during controlled (target tidal volume 1 L at 8-12 breaths per minute) and free (unrestricted) breathing. The parameters Scond, Sacin and functional residual capacity (FRC) were obtained by conventional analysis of the slope of Phase-III. Fitting the model to the washout data provided functional residual capacity (FRCM), dead space volume (VD), the coefficient of variation of regional specific ventilation ([Formula: see text]), and the model equivalent of Sacin (Sacin-M). Intra-participant coefficients of variation for the model parameters for both health and asthma were FRCM < 5.2%, VD < 5.4%, [Formula: see text] < 9.0%, and Sacin-M < 45.6% for controlled breathing, and FRCM < 4.6%, VD < 5.3%, [Formula: see text] < 13.2%, and Sacin-M < 103.2% for free breathing. The coefficients of variation limits for conventional parameters were FRC < 6.1%, with Scond < 73.6% and Sacin < 49.2% for controlled breathing and Scond < 35.0% and Sacin < 74.4% for free breathing. The model-fitting approach to multiple breath nitrogen washout analysis provides a measure of regional ventilation heterogeneity in [Formula: see text] that is less affected by irregularities in the breathing pattern than its corresponding Phase-III slope analysis parameter Scond | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, N.I.H., Extramural | |
| 650 | 4 | |a Controlled breathing | |
| 650 | 4 | |a Dead space volume | |
| 650 | 4 | |a Functional residual capacity | |
| 650 | 4 | |a Phase-III | |
| 650 | 4 | |a Spontaneous breathing | |
| 650 | 4 | |a Ventilation heterogeneity | |
| 650 | 7 | |a Nitrogen |2 NLM | |
| 650 | 7 | |a N762921K75 |2 NLM | |
| 700 | 1 | |a Milne, Stephen |e verfasserin |4 aut | |
| 700 | 1 | |a Handley, Blake M |e verfasserin |4 aut | |
| 700 | 1 | |a Rutting, Sandra |e verfasserin |4 aut | |
| 700 | 1 | |a Chapman, David G |e verfasserin |4 aut | |
| 700 | 1 | |a King, Gregory G |e verfasserin |4 aut | |
| 700 | 1 | |a Farah, Claude S |e verfasserin |4 aut | |
| 700 | 1 | |a Robinson, Paul D |e verfasserin |4 aut | |
| 700 | 1 | |a Thamrin, Cindy |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Journal of clinical monitoring and computing |d 1998 |g 37(2023), 2 vom: 23. Apr., Seite 409-420 |w (DE-627)NLM095818405 |x 1573-2614 |7 nnns |
| 773 | 1 | 8 | |g volume:37 |g year:2023 |g number:2 |g day:23 |g month:04 |g pages:409-420 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1007/s10877-022-00915-0 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 37 |j 2023 |e 2 |b 23 |c 04 |h 409-420 | ||