Literature DB >> 15928472

Assessment of indices of preload and volume responsiveness.

Michael R Pinsky1, Jean-Louise Teboul.   

Abstract

PURPOSE OF REVIEW: To summarize the relevant peer-reviewed publications over the past year that addressed issues of when to give (or not give) fluid to the critically ill patient. RECENT
FINDINGS: Clinical data from several studies underscore the inability of measures of ventricular filling to assess either preload or preload responsiveness. Whereas less invasive monitoring techniques than pulmonary arterial catheterization demonstrate better discrimination with estimates of both preload and preload responsiveness. Measuring dynamic changes in stroke volume, descending aortic flow, and both superior and inferior vena caval diameters during ventilation provides good predictive value in defining preload responsiveness. One study demonstrated that resuscitation protocols keyed to esophageal flow measures improved outcome in postoperative cardiac surgery patients.
SUMMARY: Preload is not preload responsiveness. Functional measures of preload responsiveness exist and are superior to traditional measures of filling pressures in driving resuscitation in critically ill patients.

Entities:  

Mesh:

Year:  2005        PMID: 15928472     DOI: 10.1097/01.ccx.0000158848.56107.b1

Source DB:  PubMed          Journal:  Curr Opin Crit Care        ISSN: 1070-5295            Impact factor:   3.687


  25 in total

Review 1.  Pharmacological optimization of tissue perfusion.

Authors:  N Mongardon; A Dyson; M Singer
Journal:  Br J Anaesth       Date:  2009-05-21       Impact factor: 9.166

2.  Systolic pressure variation and pulse pressure variation during modifications of arterial pressure.

Authors:  Jens C Kubitz; Stefanie Forkl; Thorsten Annecke; Nils Kronas; Alwin E Goetz; Daniel A Reuter
Journal:  Intensive Care Med       Date:  2008-04-22       Impact factor: 17.440

3.  Effective evaluation of arterial pulse waveform analysis by two-dimensional stroke volume variation-stroke volume index plots.

Authors:  Teiji Sawa; Mao Kinoshita; Atsushi Kainuma; Koichi Akiyama; Yoshifumi Naito; Hideya Kato; Fumimasa Amaya; Keiji Shigemi
Journal:  J Clin Monit Comput       Date:  2016-08-04       Impact factor: 2.502

4.  Characteristics of patients with improvement or worsening in renal function during treatment of acute decompensated heart failure.

Authors:  Jeffrey M Testani; Brian D McCauley; Stephen E Kimmel; Richard P Shannon
Journal:  Am J Cardiol       Date:  2010-11-04       Impact factor: 2.778

5.  Stroke volume variation as a guide to fluid administration in morbidly obese patients undergoing laparoscopic bariatric surgery.

Authors:  Anil Kumar Jain; Amitabh Dutta
Journal:  Obes Surg       Date:  2010-03-09       Impact factor: 4.129

6.  Influence of tidal volume for stroke volume variation to predict fluid responsiveness in patients undergoing one-lung ventilation.

Authors:  Koichi Suehiro; Ryu Okutani
Journal:  J Anesth       Date:  2011-07-09       Impact factor: 2.078

Review 7.  The interface between monitoring and physiology at the bedside.

Authors:  Eliezer L Bose; Marilyn Hravnak; Michael R Pinsky
Journal:  Crit Care Clin       Date:  2015-01       Impact factor: 3.598

8.  Evaluation and initial management of acute kidney injury.

Authors:  Jonathan Himmelfarb; Michael Joannidis; Bruce Molitoris; Miet Schietz; Mark D Okusa; David Warnock; Franco Laghi; Stuart L Goldstein; Richard Prielipp; Chirag R Parikh; Neesh Pannu; Suzana M Lobo; Sudhir Shah; Vincent D'Intini; John A Kellum
Journal:  Clin J Am Soc Nephrol       Date:  2008-03-19       Impact factor: 8.237

9.  Passive leg raising.

Authors:  Xavier Monnet; Jean-Louis Teboul
Journal:  Intensive Care Med       Date:  2008-01-23       Impact factor: 17.440

10.  Brachial artery peak velocity variation to predict fluid responsiveness in mechanically ventilated patients.

Authors:  Manuel Ignacio Monge García; Anselmo Gil Cano; Juan Carlos Díaz Monrové
Journal:  Crit Care       Date:  2009-09-03       Impact factor: 9.097

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