caa a22 4500 44537330X CHVBK 20180317142954.0 cr unu---uuuuu 170323e20111201xx s 000 0 eng 10.1007/s00540-011-1217-1 doi (NATIONALLICENCE)springer-10.1007/s00540-011-1217-1 Accuracy of stroke volume variation in predicting fluid responsiveness: a systematic review and meta-analysis [Elektronische Daten] [Zhongheng Zhang, Baolong Lu, Xiaoyan Sheng, Ni Jin] Purpose: Stroke volume variation (SVV) appears to be a good predictor of fluid responsiveness in critically ill patients. However, a wide range of its predictive values has been reported in recent years. We therefore undertook a systematic review and meta-analysis of clinical trials that investigated the diagnostic value of SVV in predicting fluid responsiveness. Methods: Clinical investigations were identified from several sources, including MEDLINE, EMBASE, WANFANG, and CENTRAL. Original articles investigating the diagnostic value of SVV in predicting fluid responsiveness were considered to be eligible. Participants included critically ill patients in the intensive care unit (ICU) or operating room (OR) who require hemodynamic monitoring. Results: A total of 568 patients from 23 studies were included in our final analysis. Baseline SVV was correlated to fluid responsiveness with a pooled correlation coefficient of 0.718. Across all settings, we found a diagnostic odds ratio of 18.4 for SVV to predict fluid responsiveness at a sensitivity of 0.81 and specificity of 0.80. The SVV was of diagnostic value for fluid responsiveness in OR or ICU patients monitored with the PiCCO or the FloTrac/Vigileo system, and in patients ventilated with tidal volume greater than 8ml/kg. Conclusions: SVV is of diagnostic value in predicting fluid responsiveness in various settings. Japanese Society of Anesthesiologists, 2011 Meta-analysis nationallicence Stroke volume variation nationallicence Fluid responsiveness nationallicence Zhang Zhongheng Department of Critical Care Medicine, Jinhua Central Hospital, 351# Mingyue Road, 321000, Jinhua, Zhejiang, People's Republic of China aut Lu Baolong Department of Critical Care Medicine, Jinhua Central Hospital, 351# Mingyue Road, 321000, Jinhua, Zhejiang, People's Republic of China aut Sheng Xiaoyan Department of Critical Care Medicine, Jinhua Central Hospital, 351# Mingyue Road, 321000, Jinhua, Zhejiang, People's Republic of China aut Jin Ni Department of Critical Care Medicine, Jinhua Central Hospital, 351# Mingyue Road, 321000, Jinhua, Zhejiang, People's Republic of China aut Journal of Anesthesia Springer Japan 25/6(2011-12-01), 904-916 0913-8668 25:6<904 2011 25 540 https://doi.org/10.1007/s00540-011-1217-1 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00540-011-1217-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Zhang Zhongheng Department of Critical Care Medicine, Jinhua Central Hospital, 351# Mingyue Road, 321000, Jinhua, Zhejiang, People's Republic of China aut NATIONALLICENCE 700 1- Lu Baolong Department of Critical Care Medicine, Jinhua Central Hospital, 351# Mingyue Road, 321000, Jinhua, Zhejiang, People's Republic of China aut NATIONALLICENCE 700 1- Sheng Xiaoyan Department of Critical Care Medicine, Jinhua Central Hospital, 351# Mingyue Road, 321000, Jinhua, Zhejiang, People's Republic of China aut NATIONALLICENCE 700 1- Jin Ni Department of Critical Care Medicine, Jinhua Central Hospital, 351# Mingyue Road, 321000, Jinhua, Zhejiang, People's Republic of China aut NATIONALLICENCE 773 0- Journal of Anesthesia Springer Japan 25/6(2011-12-01), 904-916 0913-8668 25:6<904 2011 25 540 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer