Literature DB >> 18628220

Does central venous pressure predict fluid responsiveness? A systematic review of the literature and the tale of seven mares.

Paul E Marik1, Michael Baram, Bobbak Vahid.   

Abstract

BACKGROUND: Central venous pressure (CVP) is used almost universally to guide fluid therapy in hospitalized patients. Both historical and recent data suggest that this approach may be flawed.
OBJECTIVE: A systematic review of the literature to determine the following: (1) the relationship between CVP and blood volume, (2) the ability of CVP to predict fluid responsiveness, and (3) the ability of the change in CVP (DeltaCVP) to predict fluid responsiveness. DATA SOURCES: MEDLINE, Embase, Cochrane Register of Controlled Trials, and citation review of relevant primary and review articles. STUDY SELECTION: Reported clinical trials that evaluated either the relationship between CVP and blood volume or reported the associated between CVP/DeltaCVP and the change in stroke volume/cardiac index following a fluid challenge. From 213 articles screened, 24 studies met our inclusion criteria and were included for data extraction. The studies included human adult subjects, healthy control subjects, and ICU and operating room patients. DATA EXTRACTION: Data were abstracted on study design, study size, study setting, patient population, correlation coefficient between CVP and blood volume, correlation coefficient (or receive operator characteristic [ROC]) between CVP/DeltaCVP and change in stroke index/cardiac index, percentage of patients who responded to a fluid challenge, and baseline CVP of the fluid responders and nonresponders. Metaanalytic techniques were used to pool data. DATA SYNTHESIS: The 24 studies included 803 patients; 5 studies compared CVP with measured circulating blood volume, while 19 studies determined the relationship between CVP/DeltaCVP and change in cardiac performance following a fluid challenge. The pooled correlation coefficient between CVP and measured blood volume was 0.16 (95% confidence interval [CI], 0.03 to 0.28). Overall, 56+/-16% of the patients included in this review responded to a fluid challenge. The pooled correlation coefficient between baseline CVP and change in stroke index/cardiac index was 0.18 (95% CI, 0.08 to 0.28). The pooled area under the ROC curve was 0.56 (95% CI, 0.51 to 0.61). The pooled correlation between DeltaCVP and change in stroke index/cardiac index was 0.11 (95% CI, 0.015 to 0.21). Baseline CVP was 8.7+/-2.32 mm Hg [mean+/-SD] in the responders as compared to 9.7+/-2.2 mm Hg in nonresponders (not significant).
CONCLUSIONS: This systematic review demonstrated a very poor relationship between CVP and blood volume as well as the inability of CVP/DeltaCVP to predict the hemodynamic response to a fluid challenge. CVP should not be used to make clinical decisions regarding fluid management.

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Year:  2008        PMID: 18628220     DOI: 10.1378/chest.07-2331

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  307 in total

1.  Reliability of Continuous Non-Invasive Assessment of Hemoglobin and Fluid Responsiveness: Impact of Obesity and Abdominal Insufflation Pressures.

Authors:  Mia DeBarros; Marlin W Causey; Patrick Chesley; Matthew Martin
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2.  Peripherally inserted central catheters are equivalent to centrally inserted catheters in intensive care unit patients for central venous pressure monitoring.

Authors:  Heath E Latham; Scott T Rawson; Timothy T Dwyer; Chirag C Patel; Jo A Wick; Steven Q Simpson
Journal:  J Clin Monit Comput       Date:  2012-04       Impact factor: 2.502

3.  Using non invasive dynamic parameters of fluid responsiveness in children: there is still much to learn.

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Journal:  J Clin Monit Comput       Date:  2012-03-20       Impact factor: 2.502

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Authors:  Claudio Sandroni; Fabio Cavallaro; Cristina Marano; Chiara Falcone; Paolo De Santis; Massimo Antonelli
Journal:  Intensive Care Med       Date:  2012-06-26       Impact factor: 17.440

5.  Inferior vena cava distensibility in patients with SAH, new technology and numbers, better care?

Authors:  Clemens M Schirmer
Journal:  Neurocrit Care       Date:  2010-08       Impact factor: 3.210

Review 6.  Pulse pressure variation: where are we today?

Authors:  Maxime Cannesson; Mateo Aboy; Christoph K Hofer; Mohamed Rehman
Journal:  J Clin Monit Comput       Date:  2011-02       Impact factor: 2.502

7.  Validity of Pulse Pressure Variation (PPV) Compared with Stroke Volume Variation (SVV) in Predicting Fluid Responsiveness.

Authors:  Abhishek Rathore; Shalendra Singh; Ritesh Lamsal; Priya Taank; Debashish Paul
Journal:  Turk J Anaesthesiol Reanim       Date:  2017-08-01

8.  Applying dynamic parameters to predict hemodynamic response to volume expansion in spontaneously breathing patients with septic shock.

Authors:  Michael J Lanspa; Colin K Grissom; Eliotte L Hirshberg; Jason P Jones; Samuel M Brown
Journal:  Shock       Date:  2013-02       Impact factor: 3.454

Review 9.  Fluid management for the prevention and attenuation of acute kidney injury.

Authors:  John R Prowle; Christopher J Kirwan; Rinaldo Bellomo
Journal:  Nat Rev Nephrol       Date:  2013-11-12       Impact factor: 28.314

Review 10.  Organ dysfunction, injury and failure in acute heart failure: from pathophysiology to diagnosis and management. A review on behalf of the Acute Heart Failure Committee of the Heart Failure Association (HFA) of the European Society of Cardiology (ESC).

Authors:  Veli-Pekka Harjola; Wilfried Mullens; Marek Banaszewski; Johann Bauersachs; Hans-Peter Brunner-La Rocca; Ovidiu Chioncel; Sean P Collins; Wolfram Doehner; Gerasimos S Filippatos; Andreas J Flammer; Valentin Fuhrmann; Mitja Lainscak; Johan Lassus; Matthieu Legrand; Josep Masip; Christian Mueller; Zoltán Papp; John Parissis; Elke Platz; Alain Rudiger; Frank Ruschitzka; Andreas Schäfer; Petar M Seferovic; Hadi Skouri; Mehmet Birhan Yilmaz; Alexandre Mebazaa
Journal:  Eur J Heart Fail       Date:  2017-05-30       Impact factor: 15.534

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