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Validation of the flow index to detect low inspiratory effort during pressure support ventilation
BACKGROUND: Bedside assessment of low levels of inspiratory effort, which are probably insufficient to prevent muscle atrophy, is challenging. The flow index, which is derived from the analysis of the inspiratory portion of the flow–time waveform, has been recently introduced as a non-invasive param...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9510081/ https://www.ncbi.nlm.nih.gov/pubmed/36161543 http://dx.doi.org/10.1186/s13613-022-01063-z |
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author | Miao, Ming-Yue Chen, Wei Zhou, Yi-Min Gao, Ran Song, De-Jing Wang, Shu-Peng Yang, Yan-Lin Zhang, Linlin Zhou, Jian-Xin |
author_facet | Miao, Ming-Yue Chen, Wei Zhou, Yi-Min Gao, Ran Song, De-Jing Wang, Shu-Peng Yang, Yan-Lin Zhang, Linlin Zhou, Jian-Xin |
author_sort | Miao, Ming-Yue |
collection | PubMed |
description | BACKGROUND: Bedside assessment of low levels of inspiratory effort, which are probably insufficient to prevent muscle atrophy, is challenging. The flow index, which is derived from the analysis of the inspiratory portion of the flow–time waveform, has been recently introduced as a non-invasive parameter to evaluate the inspiratory effort. The primary objective of the present study was to provide an external validation of the flow index to detect low inspiratory effort. METHODS: Datasets containing flow, airway pressure, and esophageal pressure (P(es))–time waveforms were obtained from a previously published study in 100 acute brain-injured patients undergoing pressure support ventilation. Waveforms data were analyzed offline. A low inspiratory effort was defined by one of the following criteria, work of breathing (WOB) less than 0.3 J/L, P(es)–time product (PTP(es)) per minute less than 50 cmH(2)O•s/min, or inspiratory muscle pressure (P(mus)) less than 5 cmH(2)O, adding “or occurrence of ineffective effort more than 10%” for all criteria. The flow index was calculated according to previously reported method. The association of flow index with P(es)-derived parameters of effort was investigated. The diagnostic accuracy of the flow index to detect low effort was analyzed. RESULTS: Moderate correlations were found between flow index and WOB, P(mus), and PTP(es) per breath and per minute (Pearson’s correlation coefficients ranged from 0.546 to 0.634, P < 0.001). The incidence of low inspiratory effort was 62%, 51%, and 55% using the definition of WOB, PTP(es) per minute, and P(mus), respectively. The area under the receiver operating characteristic curve for flow index to diagnose low effort was 0.88, 0.81, and 0.88, for the three respective definition. By using the cutoff value of flow index less than 2.1, the diagnostic performance for the three definitions showed sensitivity of 0.95–0.96, specificity of 0.57–0.71, positive predictive value of 0.70–0.84, and negative predictive value of 0.90–0.93. CONCLUSIONS: The flow index is associated with P(es)-based inspiratory effort measurements. Flow index can be used as a valid instrument to screen low inspiratory effort with a high probability to exclude cases without the condition. |
format | Online Article Text |
id | pubmed-9510081 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-95100812022-09-27 Validation of the flow index to detect low inspiratory effort during pressure support ventilation Miao, Ming-Yue Chen, Wei Zhou, Yi-Min Gao, Ran Song, De-Jing Wang, Shu-Peng Yang, Yan-Lin Zhang, Linlin Zhou, Jian-Xin Ann Intensive Care Research BACKGROUND: Bedside assessment of low levels of inspiratory effort, which are probably insufficient to prevent muscle atrophy, is challenging. The flow index, which is derived from the analysis of the inspiratory portion of the flow–time waveform, has been recently introduced as a non-invasive parameter to evaluate the inspiratory effort. The primary objective of the present study was to provide an external validation of the flow index to detect low inspiratory effort. METHODS: Datasets containing flow, airway pressure, and esophageal pressure (P(es))–time waveforms were obtained from a previously published study in 100 acute brain-injured patients undergoing pressure support ventilation. Waveforms data were analyzed offline. A low inspiratory effort was defined by one of the following criteria, work of breathing (WOB) less than 0.3 J/L, P(es)–time product (PTP(es)) per minute less than 50 cmH(2)O•s/min, or inspiratory muscle pressure (P(mus)) less than 5 cmH(2)O, adding “or occurrence of ineffective effort more than 10%” for all criteria. The flow index was calculated according to previously reported method. The association of flow index with P(es)-derived parameters of effort was investigated. The diagnostic accuracy of the flow index to detect low effort was analyzed. RESULTS: Moderate correlations were found between flow index and WOB, P(mus), and PTP(es) per breath and per minute (Pearson’s correlation coefficients ranged from 0.546 to 0.634, P < 0.001). The incidence of low inspiratory effort was 62%, 51%, and 55% using the definition of WOB, PTP(es) per minute, and P(mus), respectively. The area under the receiver operating characteristic curve for flow index to diagnose low effort was 0.88, 0.81, and 0.88, for the three respective definition. By using the cutoff value of flow index less than 2.1, the diagnostic performance for the three definitions showed sensitivity of 0.95–0.96, specificity of 0.57–0.71, positive predictive value of 0.70–0.84, and negative predictive value of 0.90–0.93. CONCLUSIONS: The flow index is associated with P(es)-based inspiratory effort measurements. Flow index can be used as a valid instrument to screen low inspiratory effort with a high probability to exclude cases without the condition. Springer International Publishing 2022-09-26 /pmc/articles/PMC9510081/ /pubmed/36161543 http://dx.doi.org/10.1186/s13613-022-01063-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Miao, Ming-Yue Chen, Wei Zhou, Yi-Min Gao, Ran Song, De-Jing Wang, Shu-Peng Yang, Yan-Lin Zhang, Linlin Zhou, Jian-Xin Validation of the flow index to detect low inspiratory effort during pressure support ventilation |
title | Validation of the flow index to detect low inspiratory effort during pressure support ventilation |
title_full | Validation of the flow index to detect low inspiratory effort during pressure support ventilation |
title_fullStr | Validation of the flow index to detect low inspiratory effort during pressure support ventilation |
title_full_unstemmed | Validation of the flow index to detect low inspiratory effort during pressure support ventilation |
title_short | Validation of the flow index to detect low inspiratory effort during pressure support ventilation |
title_sort | validation of the flow index to detect low inspiratory effort during pressure support ventilation |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9510081/ https://www.ncbi.nlm.nih.gov/pubmed/36161543 http://dx.doi.org/10.1186/s13613-022-01063-z |
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