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Comparison of the pulmonary dead-space fraction derived from ventilator volumetric capnography and a validated equation in the survival prediction of patients with acute respiratory distress syndrome

PURPOSE: This prospective observational study aims to evaluate the accuracy of dead-space fraction derived from the ventilator volumetric capnography (volumetric CO(2)) or a prediction equation to predict the survival of mechanically ventilated patients with acute respiratory distress syndrome (ARDS...

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Autores principales: Zhang, Yu-Jiao, Gao, Xin-Jing, Li, Zhi-Bo, Wang, Zhi-Yong, Feng, Quan-Sheng, Yin, Cheng-Fen, Lu, Xing, Xu, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4908214/
https://www.ncbi.nlm.nih.gov/pubmed/27321293
http://dx.doi.org/10.1016/j.cjtee.2016.04.002
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author Zhang, Yu-Jiao
Gao, Xin-Jing
Li, Zhi-Bo
Wang, Zhi-Yong
Feng, Quan-Sheng
Yin, Cheng-Fen
Lu, Xing
Xu, Lei
author_facet Zhang, Yu-Jiao
Gao, Xin-Jing
Li, Zhi-Bo
Wang, Zhi-Yong
Feng, Quan-Sheng
Yin, Cheng-Fen
Lu, Xing
Xu, Lei
author_sort Zhang, Yu-Jiao
collection PubMed
description PURPOSE: This prospective observational study aims to evaluate the accuracy of dead-space fraction derived from the ventilator volumetric capnography (volumetric CO(2)) or a prediction equation to predict the survival of mechanically ventilated patients with acute respiratory distress syndrome (ARDS). METHODS: Consecutive VD/VT measurements were obtained based upon a prediction equation validated by Frankenfield et al for dead-space ventilation fraction: VD/VT = 0.320 + 0.0106 (PaCO(2)-ETCO(2)) + 0.003 (RR) + 0.0015 (age) in adult patients who had infection-related severe pneumonia and were confirmed as having ARDS. Here PaCO(2) is the arterial partial pressure of carbon dioxide in mmHg; ETCO(2), the end-tidal carbon dioxide measurement in mmHg; RR, respiratory rate per minute; and age in years. Once the patient had intubation, positive end expiratory pressure was adjusted and after P(high) reached a steady state, VD/VT was measured and recorded as the data for the first day. VD/VT measurement was repeated on days 2, 3, 4, 5 and 6. Meanwhile we collected dead-space fraction directly from the ventilator volumetric CO(2) and recorded it as Vd/Vt. We analyzed the changes in VD/VT and Vd/Vt over the 6-day period to determine their accuracy in predicting the survival of ARDS patients. RESULTS: Overall, 46 patients with ARDS met the inclusion criteria and 24 of them died. During the first 6 days of intubation, VD/VT was significantly higher in nonsurvivors on day 4 (0.70 ± 0.01 vs 0.57 ± 0.01), day 5 (0.73 ± 0.01 vs. 0.54 ± 0.01), and day 6 (0.73 ± 0.02 vs. 0.54 ± 0.01) (all p = 0.000). Vd/Vt showed no significant difference on days 1–4 but it was much higher in nonsurvivors on day 5 (0.45 ± 0.04 vs. 0.41 ± 0.06) and day 6 (0.47 ± 0.05 vs. 0.40 ± 0.03) (both p = 0.008). VD/VT on the fourth day was more accurate to predict survival than Vd/Vt. The area under the receiver-operating characteristic curve for VD/VT and Vd/Vt in evaluating ARDS patients survival was day 4 (0.974 ± 0.093 vs. 0.701 ± 0.023, p = 0.0024) with the 95% confidence interval being 0.857–0.999 vs. 0.525–0.841. CONCLUSION: Compared with Vd/Vt derived from ventilator volumetric CO(2), VD/VT on day 4 calculated by Frankenfield et al's equation can more accurately predict the survival of ARDS patients.
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spelling pubmed-49082142016-06-23 Comparison of the pulmonary dead-space fraction derived from ventilator volumetric capnography and a validated equation in the survival prediction of patients with acute respiratory distress syndrome Zhang, Yu-Jiao Gao, Xin-Jing Li, Zhi-Bo Wang, Zhi-Yong Feng, Quan-Sheng Yin, Cheng-Fen Lu, Xing Xu, Lei Chin J Traumatol Original Article PURPOSE: This prospective observational study aims to evaluate the accuracy of dead-space fraction derived from the ventilator volumetric capnography (volumetric CO(2)) or a prediction equation to predict the survival of mechanically ventilated patients with acute respiratory distress syndrome (ARDS). METHODS: Consecutive VD/VT measurements were obtained based upon a prediction equation validated by Frankenfield et al for dead-space ventilation fraction: VD/VT = 0.320 + 0.0106 (PaCO(2)-ETCO(2)) + 0.003 (RR) + 0.0015 (age) in adult patients who had infection-related severe pneumonia and were confirmed as having ARDS. Here PaCO(2) is the arterial partial pressure of carbon dioxide in mmHg; ETCO(2), the end-tidal carbon dioxide measurement in mmHg; RR, respiratory rate per minute; and age in years. Once the patient had intubation, positive end expiratory pressure was adjusted and after P(high) reached a steady state, VD/VT was measured and recorded as the data for the first day. VD/VT measurement was repeated on days 2, 3, 4, 5 and 6. Meanwhile we collected dead-space fraction directly from the ventilator volumetric CO(2) and recorded it as Vd/Vt. We analyzed the changes in VD/VT and Vd/Vt over the 6-day period to determine their accuracy in predicting the survival of ARDS patients. RESULTS: Overall, 46 patients with ARDS met the inclusion criteria and 24 of them died. During the first 6 days of intubation, VD/VT was significantly higher in nonsurvivors on day 4 (0.70 ± 0.01 vs 0.57 ± 0.01), day 5 (0.73 ± 0.01 vs. 0.54 ± 0.01), and day 6 (0.73 ± 0.02 vs. 0.54 ± 0.01) (all p = 0.000). Vd/Vt showed no significant difference on days 1–4 but it was much higher in nonsurvivors on day 5 (0.45 ± 0.04 vs. 0.41 ± 0.06) and day 6 (0.47 ± 0.05 vs. 0.40 ± 0.03) (both p = 0.008). VD/VT on the fourth day was more accurate to predict survival than Vd/Vt. The area under the receiver-operating characteristic curve for VD/VT and Vd/Vt in evaluating ARDS patients survival was day 4 (0.974 ± 0.093 vs. 0.701 ± 0.023, p = 0.0024) with the 95% confidence interval being 0.857–0.999 vs. 0.525–0.841. CONCLUSION: Compared with Vd/Vt derived from ventilator volumetric CO(2), VD/VT on day 4 calculated by Frankenfield et al's equation can more accurately predict the survival of ARDS patients. Elsevier 2016-06 2016-04-21 /pmc/articles/PMC4908214/ /pubmed/27321293 http://dx.doi.org/10.1016/j.cjtee.2016.04.002 Text en © 2016 Daping Hospital and the Research Institute of Surgery of the Third Military Medical University. Production and hosting by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Zhang, Yu-Jiao
Gao, Xin-Jing
Li, Zhi-Bo
Wang, Zhi-Yong
Feng, Quan-Sheng
Yin, Cheng-Fen
Lu, Xing
Xu, Lei
Comparison of the pulmonary dead-space fraction derived from ventilator volumetric capnography and a validated equation in the survival prediction of patients with acute respiratory distress syndrome
title Comparison of the pulmonary dead-space fraction derived from ventilator volumetric capnography and a validated equation in the survival prediction of patients with acute respiratory distress syndrome
title_full Comparison of the pulmonary dead-space fraction derived from ventilator volumetric capnography and a validated equation in the survival prediction of patients with acute respiratory distress syndrome
title_fullStr Comparison of the pulmonary dead-space fraction derived from ventilator volumetric capnography and a validated equation in the survival prediction of patients with acute respiratory distress syndrome
title_full_unstemmed Comparison of the pulmonary dead-space fraction derived from ventilator volumetric capnography and a validated equation in the survival prediction of patients with acute respiratory distress syndrome
title_short Comparison of the pulmonary dead-space fraction derived from ventilator volumetric capnography and a validated equation in the survival prediction of patients with acute respiratory distress syndrome
title_sort comparison of the pulmonary dead-space fraction derived from ventilator volumetric capnography and a validated equation in the survival prediction of patients with acute respiratory distress syndrome
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4908214/
https://www.ncbi.nlm.nih.gov/pubmed/27321293
http://dx.doi.org/10.1016/j.cjtee.2016.04.002
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