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Evaluation of fluid responsiveness with dynamic superior vena cava collapsibility index in mechanically ventilated patients

BACKGROUND: This study aimed to evaluate the predictive accuracy of the superior vena cava collapsibility index measured by transesophageal echocardiography and compare the index with stroke volume variation measured by FloTrac™/Vigileo™ in mechanically ventilated patients. METHODS: In the prospecti...

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Autores principales: Li, Yaru, Jiang, Luyang, Wang, Lu, Dou, Dou, Feng, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10084688/
https://www.ncbi.nlm.nih.gov/pubmed/37038231
http://dx.doi.org/10.1186/s13741-023-00298-z
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author Li, Yaru
Jiang, Luyang
Wang, Lu
Dou, Dou
Feng, Yi
author_facet Li, Yaru
Jiang, Luyang
Wang, Lu
Dou, Dou
Feng, Yi
author_sort Li, Yaru
collection PubMed
description BACKGROUND: This study aimed to evaluate the predictive accuracy of the superior vena cava collapsibility index measured by transesophageal echocardiography and compare the index with stroke volume variation measured by FloTrac™/Vigileo™ in mechanically ventilated patients. METHODS: In the prospective study, a total of 60 patients were enrolled for elective general surgery under mechanical ventilation, where all patients received 10 ml/kg of Ringer’s lactate. Five kinds of related data were recorded before and after the fluid challenge, including the superior vena cava collapsibility index (SVC-CI), the ratio of E/e’, cardiac index (CI), stroke volume variation (SVV), and central venous pressure (CVP). Based on the collected data after the fluid challenge, we classified the patients as responders (FR group) if their CI increased by at least 15% and the rest were non-responders (NR). RESULTS: Twenty-five of 52 (48%) of the patients were responders, and 27 were non-responders (52%). The SVC-CI was higher in the responders (41.90 ± 11.48 vs 28.92 ± 9.05%, P < 0.01). SVC-CI was significantly correlated with △CI (FloTrac) (r = 0.568, P < 0.01). The area under the ROC curve (AUROC) of SVC-CI was 0.838 (95% CI 0.728 ~ 0.947, P < 0.01) with the optimal cutoff value of 39.4% (sensitivity 64%, specificity 92.6%). And there was no significant difference in E/e’ between the two groups (P > 0.05). The best cutoff value for SVV was 12.5% (sensitivity 40%, specificity 89%) with the AUROC of 0.68 (95% CI 0.53 ~ 0.826, P < 0.05). CONCLUSIONS: The SVC-CI and SVV can predict fluid responsiveness effectively in mechanically ventilated patients. And SVC-CI is superior in predicting fluid responsiveness compared with SVV. The E/e’ ratio and CVP cannot predict FR effectively. TRIAL REGISTRATION: Chinese clinical trial registry (ChiCTR2000034940).
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spelling pubmed-100846882023-04-11 Evaluation of fluid responsiveness with dynamic superior vena cava collapsibility index in mechanically ventilated patients Li, Yaru Jiang, Luyang Wang, Lu Dou, Dou Feng, Yi Perioper Med (Lond) Research BACKGROUND: This study aimed to evaluate the predictive accuracy of the superior vena cava collapsibility index measured by transesophageal echocardiography and compare the index with stroke volume variation measured by FloTrac™/Vigileo™ in mechanically ventilated patients. METHODS: In the prospective study, a total of 60 patients were enrolled for elective general surgery under mechanical ventilation, where all patients received 10 ml/kg of Ringer’s lactate. Five kinds of related data were recorded before and after the fluid challenge, including the superior vena cava collapsibility index (SVC-CI), the ratio of E/e’, cardiac index (CI), stroke volume variation (SVV), and central venous pressure (CVP). Based on the collected data after the fluid challenge, we classified the patients as responders (FR group) if their CI increased by at least 15% and the rest were non-responders (NR). RESULTS: Twenty-five of 52 (48%) of the patients were responders, and 27 were non-responders (52%). The SVC-CI was higher in the responders (41.90 ± 11.48 vs 28.92 ± 9.05%, P < 0.01). SVC-CI was significantly correlated with △CI (FloTrac) (r = 0.568, P < 0.01). The area under the ROC curve (AUROC) of SVC-CI was 0.838 (95% CI 0.728 ~ 0.947, P < 0.01) with the optimal cutoff value of 39.4% (sensitivity 64%, specificity 92.6%). And there was no significant difference in E/e’ between the two groups (P > 0.05). The best cutoff value for SVV was 12.5% (sensitivity 40%, specificity 89%) with the AUROC of 0.68 (95% CI 0.53 ~ 0.826, P < 0.05). CONCLUSIONS: The SVC-CI and SVV can predict fluid responsiveness effectively in mechanically ventilated patients. And SVC-CI is superior in predicting fluid responsiveness compared with SVV. The E/e’ ratio and CVP cannot predict FR effectively. TRIAL REGISTRATION: Chinese clinical trial registry (ChiCTR2000034940). BioMed Central 2023-04-10 /pmc/articles/PMC10084688/ /pubmed/37038231 http://dx.doi.org/10.1186/s13741-023-00298-z Text en © The Author(s) 2023 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
Li, Yaru
Jiang, Luyang
Wang, Lu
Dou, Dou
Feng, Yi
Evaluation of fluid responsiveness with dynamic superior vena cava collapsibility index in mechanically ventilated patients
title Evaluation of fluid responsiveness with dynamic superior vena cava collapsibility index in mechanically ventilated patients
title_full Evaluation of fluid responsiveness with dynamic superior vena cava collapsibility index in mechanically ventilated patients
title_fullStr Evaluation of fluid responsiveness with dynamic superior vena cava collapsibility index in mechanically ventilated patients
title_full_unstemmed Evaluation of fluid responsiveness with dynamic superior vena cava collapsibility index in mechanically ventilated patients
title_short Evaluation of fluid responsiveness with dynamic superior vena cava collapsibility index in mechanically ventilated patients
title_sort evaluation of fluid responsiveness with dynamic superior vena cava collapsibility index in mechanically ventilated patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10084688/
https://www.ncbi.nlm.nih.gov/pubmed/37038231
http://dx.doi.org/10.1186/s13741-023-00298-z
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