Literature DB >> 22735299

Prediction of fluid responsiveness by a continuous non-invasive assessment of arterial pressure in critically ill patients: comparison with four other dynamic indices.

X Monnet1, M Dres, A Ferré, G Le Teuff, M Jozwiak, A Bleibtreu, M-C Le Deley, D Chemla, C Richard, J-L Teboul.   

Abstract

BACKGROUND: We evaluated the ability of an infrared photoplethysmography arterial waveform (continuous non-invasive arterial pressure, CNAP) to estimate arterial pulse pressure variation (PPV). We compared the ability of non-invasive PPV to predict fluid responsiveness with invasive PPV, respiratory variation of pulse contour-derived stroke volume, and changes in cardiac index induced by passive leg raising (PLR) and end-expiratory occlusion (EEO) tests.
METHODS: We measured the responses of cardiac index (PiCCO) to 500 ml of saline in 47 critically ill patients with haemodynamic failure. Before fluid administration, we recorded non-invasive and invasive PPVs, stroke volume variation, and changes in cardiac index induced by PLR and by 15 s EEO. Logistic regressions were performed to investigate the advantage of combining invasive PPV, stroke volume variation, PLR, and EEO when predicting fluid responsiveness.
RESULTS: In eight patients, CNAP could not record arterial pressure. In the 39 remaining patients, fluid increased cardiac index by ≥15% in 17 'responders'. Considering the 195 pairs of measurements, the bias (sd) between invasive and non-invasive PPVs was -0.6 (2.3)%. The areas under the receiver operating characteristic (ROC) curves for predicting fluid responsiveness were 0.89 (95% confidence interval, 0.78-1.01) for non-invasive PPV compared with 0.89 (0.77-1.01), 0.84 (0.70-0.96), 0.95 (0.88-1.03), and 0.97 (0.91-1.03) for invasive pulse pressure, stroke volume variations, PLR, and EEO tests (no significant difference). Combining multiple tests did not significantly improve the area under the ROC curves.
CONCLUSIONS: Non-invasive assessment of PPV seems valuable in predicting fluid responsiveness.

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Year:  2012        PMID: 22735299     DOI: 10.1093/bja/aes182

Source DB:  PubMed          Journal:  Br J Anaesth        ISSN: 0007-0912            Impact factor:   9.166


  43 in total

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Authors:  Amro Faez Abdelgawad; Qin-Fang Shi; Mohamed Abo Halawa; Zhi-Lin Wu; Zhou-Yang Wu; Xiang-Dong Chen; Shang-Long Yao
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2015-06-14

2.  Passive leg raising performed before a spontaneous breathing trial predicts weaning-induced cardiac dysfunction.

Authors:  Martin Dres; Jean-Louis Teboul; Nadia Anguel; Laurent Guerin; Christian Richard; Xavier Monnet
Journal:  Intensive Care Med       Date:  2015-01-24       Impact factor: 17.440

Review 3.  [Meta-analyses on measurement precision of non-invasive hemodynamic monitoring technologies in adults].

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Journal:  Front Med       Date:  2013-01-23       Impact factor: 4.592

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6.  Respiratory variation in peak aortic velocity accurately predicts fluid responsiveness in children undergoing neurosurgery under general anesthesia.

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7.  Prediction of Fluid Responsiveness Using Pulse Pressure Variation in Infants Undergoing Ventricular Septal Defect Repair with Median Sternotomy or Minimally Invasive Right Thoracotomy.

Authors:  Ding Han; Ya-Guang Liu; Yi Luo; Jia Li; Chuan Ou-Yang
Journal:  Pediatr Cardiol       Date:  2016-11-11       Impact factor: 1.655

Review 8.  Noninvasive Monitoring and Potential for Patient Outcome.

Authors:  Susana Vacas; Maxime Cannesson
Journal:  J Cardiothorac Vasc Anesth       Date:  2019-08       Impact factor: 2.628

9.  Monitoring of pulse pressure variation using a new smartphone application (Capstesia) versus stroke volume variation using an uncalibrated pulse wave analysis monitor: a clinical decision making study during major abdominal surgery.

Authors:  Alexandre Joosten; Alexandra Jacobs; Olivier Desebbe; Jean-Louis Vincent; Saxena Sarah; Joseph Rinehart; Luc Van Obbergh; Alexander Hapfelmeier; Bernd Saugel
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Review 10.  Prediction of fluid responsiveness in ventilated patients.

Authors:  Mathieu Jozwiak; Xavier Monnet; Jean-Louis Teboul
Journal:  Ann Transl Med       Date:  2018-09
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