title: Accuracy of stroke volume variation in predicting fluid responsiveness: a systematic review and meta-analysis.
abstract: OBJECTIVE
  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 8 ml/kg.
  
  
  CONCLUSIONS
  SVV is of diagnostic value in predicting fluid responsiveness in various settings.
authors: Department of Critical Care Medicine, Jinhua Central Hospital, 351# Mingyue Road, Jinhua, 321000, Zhejiang, People's Republic of China. zh_zhang1984@hotmail.com
authors: Zhongheng
authors: Z
authors: Zhang
authors: Baolong
authors: B
authors: Lu
authors: Xiaoyan
authors: X
authors: Sheng
authors: Ni
authors: N
authors: Jin
mesh_terms: D016638:Critical Illness / Q000628:therapy*; D005440:Fluid Therapy / Q000379:methods*; D006439:Hemodynamics / Q000502:physiology; D006801:Humans; D007362:Intensive Care Units; D011237:Predictive Value of Tests; D013318:Stroke Volume / Q000502:physiology*; D013990:Tidal Volume / Q000502:physiology*