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Integrated pulmonary index can predict respiratory compromise in high‐risk patients in the post‐anesthesia care unit: a prospective, observational study

BACKGROUND: Respiratory compromise (RC) including hypoxia and hypoventilation is likely to be missed in the postoperative period. Integrated pulmonary index (IPI) is a comprehensive respiratory parameter evaluating ventilation and oxygenation. It is calculated from four parameters: end-tidal carbon...

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Autores principales: Kuroe, Yasutoshi, Mihara, Yuko, Okahara, Shuji, Ishii, Kenzo, Kanazawa, Tomoyuki, Morimatsu, Hiroshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8059175/
https://www.ncbi.nlm.nih.gov/pubmed/33882856
http://dx.doi.org/10.1186/s12871-021-01338-1
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author Kuroe, Yasutoshi
Mihara, Yuko
Okahara, Shuji
Ishii, Kenzo
Kanazawa, Tomoyuki
Morimatsu, Hiroshi
author_facet Kuroe, Yasutoshi
Mihara, Yuko
Okahara, Shuji
Ishii, Kenzo
Kanazawa, Tomoyuki
Morimatsu, Hiroshi
author_sort Kuroe, Yasutoshi
collection PubMed
description BACKGROUND: Respiratory compromise (RC) including hypoxia and hypoventilation is likely to be missed in the postoperative period. Integrated pulmonary index (IPI) is a comprehensive respiratory parameter evaluating ventilation and oxygenation. It is calculated from four parameters: end-tidal carbon dioxide, respiratory rate, oxygen saturation measured by pulse oximetry (SpO(2)), and pulse rate. We hypothesized that IPI monitoring can help predict the occurrence of RC in patients at high-risk of hypoventilation in post-anesthesia care units (PACUs). METHODS: This prospective observational study was conducted in two centers and included older adults (≥ 75-year-old) or obese (body mass index ≥ 28) patients who were at high-risk of hypoventilation. Monitoring was started on admission to the PACU after elective surgery under general anesthesia. We investigated the onset of RC defined as respiratory events with prolonged stay in the PACU or transfer to the intensive care units; airway narrowing, hypoxemia, hypercapnia, wheezing, apnea, and any other events that were judged to require interventions. We evaluated the relationship between several initial parameters in the PACU and the occurrence of RC. Additionally, we analyzed the relationship between IPI fluctuation during PACU stay and the occurrences of RC using individual standard deviations of the IPI every five minutes (IPI-SDs). RESULTS: In total, 288 patients were included (199 elderly, 66 obese, and 23 elderly and obese). Among them, 18 patients (6.3 %) developed RC. The initial IPI and SpO(2) values in the PACU in the RC group were significantly lower than those in the non-RC group (6.7 ± 2.5 vs. 9.0 ± 1.3, p < 0.001 and 95.9 ± 4.2 % vs. 98.3 ± 1.9 %, p = 0.040, respectively). We used the area under the receiver operating characteristic curves (AUC) to evaluate their ability to predict RC. The AUCs of the IPI and SpO(2) were 0.80 (0.69–0.91) and 0.64 (0.48–0.80), respectively. The IPI-SD, evaluating fluctuation, was significantly greater in the RC group than in the non-RC group (1.47 ± 0.74 vs. 0.93 ± 0.74, p = 0.002). CONCLUSIONS: Our study showed that low value of the initial IPI and the fluctuating IPI after admission to the PACU predict the occurrence of RC. The IPI might be useful for respiratory monitoring in PACUs and ICUs after general anesthesia.
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spelling pubmed-80591752021-04-21 Integrated pulmonary index can predict respiratory compromise in high‐risk patients in the post‐anesthesia care unit: a prospective, observational study Kuroe, Yasutoshi Mihara, Yuko Okahara, Shuji Ishii, Kenzo Kanazawa, Tomoyuki Morimatsu, Hiroshi BMC Anesthesiol Research Article BACKGROUND: Respiratory compromise (RC) including hypoxia and hypoventilation is likely to be missed in the postoperative period. Integrated pulmonary index (IPI) is a comprehensive respiratory parameter evaluating ventilation and oxygenation. It is calculated from four parameters: end-tidal carbon dioxide, respiratory rate, oxygen saturation measured by pulse oximetry (SpO(2)), and pulse rate. We hypothesized that IPI monitoring can help predict the occurrence of RC in patients at high-risk of hypoventilation in post-anesthesia care units (PACUs). METHODS: This prospective observational study was conducted in two centers and included older adults (≥ 75-year-old) or obese (body mass index ≥ 28) patients who were at high-risk of hypoventilation. Monitoring was started on admission to the PACU after elective surgery under general anesthesia. We investigated the onset of RC defined as respiratory events with prolonged stay in the PACU or transfer to the intensive care units; airway narrowing, hypoxemia, hypercapnia, wheezing, apnea, and any other events that were judged to require interventions. We evaluated the relationship between several initial parameters in the PACU and the occurrence of RC. Additionally, we analyzed the relationship between IPI fluctuation during PACU stay and the occurrences of RC using individual standard deviations of the IPI every five minutes (IPI-SDs). RESULTS: In total, 288 patients were included (199 elderly, 66 obese, and 23 elderly and obese). Among them, 18 patients (6.3 %) developed RC. The initial IPI and SpO(2) values in the PACU in the RC group were significantly lower than those in the non-RC group (6.7 ± 2.5 vs. 9.0 ± 1.3, p < 0.001 and 95.9 ± 4.2 % vs. 98.3 ± 1.9 %, p = 0.040, respectively). We used the area under the receiver operating characteristic curves (AUC) to evaluate their ability to predict RC. The AUCs of the IPI and SpO(2) were 0.80 (0.69–0.91) and 0.64 (0.48–0.80), respectively. The IPI-SD, evaluating fluctuation, was significantly greater in the RC group than in the non-RC group (1.47 ± 0.74 vs. 0.93 ± 0.74, p = 0.002). CONCLUSIONS: Our study showed that low value of the initial IPI and the fluctuating IPI after admission to the PACU predict the occurrence of RC. The IPI might be useful for respiratory monitoring in PACUs and ICUs after general anesthesia. BioMed Central 2021-04-21 /pmc/articles/PMC8059175/ /pubmed/33882856 http://dx.doi.org/10.1186/s12871-021-01338-1 Text en © The Author(s) 2021 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Kuroe, Yasutoshi
Mihara, Yuko
Okahara, Shuji
Ishii, Kenzo
Kanazawa, Tomoyuki
Morimatsu, Hiroshi
Integrated pulmonary index can predict respiratory compromise in high‐risk patients in the post‐anesthesia care unit: a prospective, observational study
title Integrated pulmonary index can predict respiratory compromise in high‐risk patients in the post‐anesthesia care unit: a prospective, observational study
title_full Integrated pulmonary index can predict respiratory compromise in high‐risk patients in the post‐anesthesia care unit: a prospective, observational study
title_fullStr Integrated pulmonary index can predict respiratory compromise in high‐risk patients in the post‐anesthesia care unit: a prospective, observational study
title_full_unstemmed Integrated pulmonary index can predict respiratory compromise in high‐risk patients in the post‐anesthesia care unit: a prospective, observational study
title_short Integrated pulmonary index can predict respiratory compromise in high‐risk patients in the post‐anesthesia care unit: a prospective, observational study
title_sort integrated pulmonary index can predict respiratory compromise in high‐risk patients in the post‐anesthesia care unit: a prospective, observational study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8059175/
https://www.ncbi.nlm.nih.gov/pubmed/33882856
http://dx.doi.org/10.1186/s12871-021-01338-1
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