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Stroke volume variation for predicting responsiveness to fluid therapy in patients undergoing cardiac and thoracic surgery: a systematic review and meta-analysis
OBJECTIVE: To evaluate the reliability of stroke volume variation (SVV) for predicting responsiveness to fluid therapy in patients undergoing cardiac and thoracic surgery. DESIGN: Systematic review and meta-analysis. DATA SOURCES: PubMed, EMBASE, Cochrane Library, Web of Science up to 9 August 2020....
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9119189/ https://www.ncbi.nlm.nih.gov/pubmed/35584881 http://dx.doi.org/10.1136/bmjopen-2021-051112 |
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author | Huan, Sheng Dai, Jin Song, Shilian Zhu, Guining Ji, Yihao Yin, Guoping |
author_facet | Huan, Sheng Dai, Jin Song, Shilian Zhu, Guining Ji, Yihao Yin, Guoping |
author_sort | Huan, Sheng |
collection | PubMed |
description | OBJECTIVE: To evaluate the reliability of stroke volume variation (SVV) for predicting responsiveness to fluid therapy in patients undergoing cardiac and thoracic surgery. DESIGN: Systematic review and meta-analysis. DATA SOURCES: PubMed, EMBASE, Cochrane Library, Web of Science up to 9 August 2020. METHODS: Quality of included studies were assessed with the Quality Assessment of Diagnostic Accuracy Studies-2 tool. We conducted subgroup analysis according to different anaesthesia and surgical methods with Stata V.14.0, Review Manager V.5.3 and R V.3.6.3. We used random-effects model to pool sensitivity, specificity and diagnostic odds ratio with 95% CI. The area under the curve (AUC) of receiver operating characteristic was calculated. RESULTS: Among the 20 relevant studies, 7 were conducted during thoracic surgery, 8 were conducted during cardiac surgery and the remaining 5 were conducted in intensive critical unit (ICU) after cardiac surgery. Data from 854 patients accepting mechanical ventilation were included in our systematic review. The pooled sensitivity and specificity were 0.73 (95% CI: 0.59 to 0.83) and 0.62 (95% CI: 0.46 to 0.76) in the thoracic surgery group, 0.71 (95% CI: 0.65 to 0.77) and 0.76 (95% CI: 0.69 to 0.82) in the cardiac surgery group, 0.85 (95% CI: 0.60 to 0.96) and 0.85 (95% CI: 0.74 to 0.92) in cardiac ICU group. The AUC was 0.73 (95% CI: 0.69 to 0.77), 0.80 (95% CI: 0.77 to 0.83) and 0.88 (95% CI: 0.86 to 0.92), respectively. Results of subgroup of FloTrac/Vigileo system (AUC=0.80, Youden index=0.38) and large tidal volume (AUC=0.81, Youden index=0.48) in thoracic surgery, colloid (AUC=0.85, Youden index=0.55) and postoperation (AUC=0.85, Youden index=0.63) in cardiac surgery, passive leg raising (AUC=0.90, Youden index=0.72) in cardiac ICU were reliable. CONCLUSION: SVV had good predictive performance in cardiac surgery or ICU after cardiac surgery and had moderate predictive performance in thoracic surgery. Nevertheless, technical and clinical variables may affect the predictive value potentially. |
format | Online Article Text |
id | pubmed-9119189 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-91191892022-06-04 Stroke volume variation for predicting responsiveness to fluid therapy in patients undergoing cardiac and thoracic surgery: a systematic review and meta-analysis Huan, Sheng Dai, Jin Song, Shilian Zhu, Guining Ji, Yihao Yin, Guoping BMJ Open Anaesthesia OBJECTIVE: To evaluate the reliability of stroke volume variation (SVV) for predicting responsiveness to fluid therapy in patients undergoing cardiac and thoracic surgery. DESIGN: Systematic review and meta-analysis. DATA SOURCES: PubMed, EMBASE, Cochrane Library, Web of Science up to 9 August 2020. METHODS: Quality of included studies were assessed with the Quality Assessment of Diagnostic Accuracy Studies-2 tool. We conducted subgroup analysis according to different anaesthesia and surgical methods with Stata V.14.0, Review Manager V.5.3 and R V.3.6.3. We used random-effects model to pool sensitivity, specificity and diagnostic odds ratio with 95% CI. The area under the curve (AUC) of receiver operating characteristic was calculated. RESULTS: Among the 20 relevant studies, 7 were conducted during thoracic surgery, 8 were conducted during cardiac surgery and the remaining 5 were conducted in intensive critical unit (ICU) after cardiac surgery. Data from 854 patients accepting mechanical ventilation were included in our systematic review. The pooled sensitivity and specificity were 0.73 (95% CI: 0.59 to 0.83) and 0.62 (95% CI: 0.46 to 0.76) in the thoracic surgery group, 0.71 (95% CI: 0.65 to 0.77) and 0.76 (95% CI: 0.69 to 0.82) in the cardiac surgery group, 0.85 (95% CI: 0.60 to 0.96) and 0.85 (95% CI: 0.74 to 0.92) in cardiac ICU group. The AUC was 0.73 (95% CI: 0.69 to 0.77), 0.80 (95% CI: 0.77 to 0.83) and 0.88 (95% CI: 0.86 to 0.92), respectively. Results of subgroup of FloTrac/Vigileo system (AUC=0.80, Youden index=0.38) and large tidal volume (AUC=0.81, Youden index=0.48) in thoracic surgery, colloid (AUC=0.85, Youden index=0.55) and postoperation (AUC=0.85, Youden index=0.63) in cardiac surgery, passive leg raising (AUC=0.90, Youden index=0.72) in cardiac ICU were reliable. CONCLUSION: SVV had good predictive performance in cardiac surgery or ICU after cardiac surgery and had moderate predictive performance in thoracic surgery. Nevertheless, technical and clinical variables may affect the predictive value potentially. BMJ Publishing Group 2022-05-17 /pmc/articles/PMC9119189/ /pubmed/35584881 http://dx.doi.org/10.1136/bmjopen-2021-051112 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Anaesthesia Huan, Sheng Dai, Jin Song, Shilian Zhu, Guining Ji, Yihao Yin, Guoping Stroke volume variation for predicting responsiveness to fluid therapy in patients undergoing cardiac and thoracic surgery: a systematic review and meta-analysis |
title | Stroke volume variation for predicting responsiveness to fluid therapy in patients undergoing cardiac and thoracic surgery: a systematic review and meta-analysis |
title_full | Stroke volume variation for predicting responsiveness to fluid therapy in patients undergoing cardiac and thoracic surgery: a systematic review and meta-analysis |
title_fullStr | Stroke volume variation for predicting responsiveness to fluid therapy in patients undergoing cardiac and thoracic surgery: a systematic review and meta-analysis |
title_full_unstemmed | Stroke volume variation for predicting responsiveness to fluid therapy in patients undergoing cardiac and thoracic surgery: a systematic review and meta-analysis |
title_short | Stroke volume variation for predicting responsiveness to fluid therapy in patients undergoing cardiac and thoracic surgery: a systematic review and meta-analysis |
title_sort | stroke volume variation for predicting responsiveness to fluid therapy in patients undergoing cardiac and thoracic surgery: a systematic review and meta-analysis |
topic | Anaesthesia |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9119189/ https://www.ncbi.nlm.nih.gov/pubmed/35584881 http://dx.doi.org/10.1136/bmjopen-2021-051112 |
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