title: Does pulse pressure variation predict fluid responsiveness in critically ill patients? A systematic review and meta-analysis.
abstract: BACKGROUND
  Fluid resuscitation is crucial in managing hemodynamically unstable patients. The last decade witnessed the use of pulse pressure variation (PPV) to predict fluid responsiveness. However, as far as we know, no systematic review and meta-analysis has been carried out to evaluate the value of PPV in predicting fluid responsiveness specifically upon patients admitted into intensive care units.
  
  
  METHODS
  We searched MEDLINE and EMBASE and included clinical trials that evaluated the association between PPV and fluid responsiveness after fluid challenge in mechanically ventilated patients in intensive care units. Data were synthesized using an exact binomial rendition of the bivariate mixed-effects regression model modified for synthesis of diagnostic test data.
  
  
  RESULTS
  Twenty-two studies with 807 mechanically ventilated patients with tidal volume more than 8 ml/kg and without spontaneous breathing and cardiac arrhythmia were included, and 465 were responders (58%). The pooled sensitivity was 0.88 (95% confidence interval (CI) 0.81 to 0.92) and pooled specificity was 0.89 (95% CI 0.84 to 0.92). A summary receiver operating characteristic curve yielded an area under the curve of 0.94 (95% CI 0.91 to 0.95). A significant threshold effect was identified.
  
  
  CONCLUSIONS
  PPV predicts fluid responsiveness accurately in mechanically ventilated patients with relative large tidal volume and without spontaneous breathing and cardiac arrhythmia.
authors.affiliation: Medical ICU, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, 1 Shuai Fu Yuan, Beijing, 100730, PR China. want.tofly@aliyun.com.
authors.forename: Xiaobo
authors.initials: X
authors.lastname: Yang
authors.affiliation: Medical ICU, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, 1 Shuai Fu Yuan, Beijing, 100730, PR China. dubin98@gmail.com.
authors.forename: Bin
authors.initials: B
authors.lastname: Du
mesh_terms: D001794:Blood Pressure / Q000502:physiology*; D002986:Clinical Trials as Topic / Q000379:methods / Q000639:trends; D016638:Critical Illness / Q000628:therapy*; D005440:Fluid Therapy / Q000379:methods / Q000639:trends*; D006439:Hemodynamics / Q000502:physiology; D006801:Humans; D007362:Intensive Care Units / Q000639:trends; D013990:Tidal Volume / Q000502:physiology