Literature DB >> 26190697

Indexation of cardiac output to biometric parameters in critically ill patients: A systematic analysis of a transpulmonary thermodilution-derived database.

Bernd Saugel1, Sebastian Mair2, Simon Q Götz2, Julia Tschirdewahn2, Johanna Frank2, Josef Höllthaler2, Roland M Schmid2, Wolfgang Huber2.   

Abstract

PURPOSE: Cardiac output (CO) (liters per minute) is usually normalized (ie, indexed) to the patient's body surface area (BSA) resulting in the hemodynamic variable cardiac index (CI) (liters per minute per square meter). We aimed (1) to evaluate the impact of different body weight-based CO indexations on the resulting CI values and (2) to identify biometric parameters independently associated with CO in critically ill patients.
MATERIALS AND METHODS: The study is an analysis of a database containing transpulmonary thermodilution-derived hemodynamic variables of 234 medical intensive care unit patients.
RESULTS: Cardiac index indexed to actual BSA was statistically significantly lower compared with CI indexed to predicted BSA in the totality of patients and in the subgroups of patients with body mass index greater than or equal to 25 kg/m(2) but less than 30 kg/m(2) and body mass index greater than or equal to 30 kg/m(2) (with a statistically significant difference in the proportion of low and high CI measurements). Multivariate analysis of the first CO measurement of each patient demonstrated that CO was independently associated with age (P < .001), height (P = .001), and actual body weight (BWact) (P = .030). Multivariate analysis of the mean of the patients' CO measurements confirmed age (P < .001), height (P = .001), and BWact (P < .001) as biometric factors independently associated with CO. Age was identified as the most important factor with each year of age decreasing CO by 66 mL/min (95% confidence interval, 47-86 mL/min).
CONCLUSIONS: The indexation of CO to BSA is highly dependent on the body weight estimation formula used to calculate BSA. Cardiac output is independently associated with the biometric factors age, height, and BWact. These factors might be considered for indexation of CO.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cardiac index; Cardiovascular dynamics; Hemodynamic monitoring; Hemodynamics; Intensive care; Monitoring

Mesh:

Year:  2015        PMID: 26190697     DOI: 10.1016/j.jcrc.2015.06.011

Source DB:  PubMed          Journal:  J Crit Care        ISSN: 0883-9441            Impact factor:   3.425


  5 in total

1.  A systematic database-derived approach to improve indexation of transpulmonary thermodilution-derived global end-diastolic volume.

Authors:  Wolfgang Huber; Sebastian Mair; Simon Q Götz; Julia Tschirdewahn; Johanna Frank; Josef Höllthaler; Veit Phillip; Roland M Schmid; Bernd Saugel
Journal:  J Clin Monit Comput       Date:  2016-02-01       Impact factor: 2.502

2.  Applicability of stroke volume variation in patients of a general intensive care unit: a longitudinal observational study.

Authors:  Sebastian Mair; Julia Tschirdewahn; Simon Götz; Johanna Frank; Veit Phillip; Benedikt Henschel; Caroline Schultheiss; Ulrich Mayr; Sebastian Noe; Matthias Treiber; Roland M Schmid; Bernd Saugel; Wolfgang Huber
Journal:  J Clin Monit Comput       Date:  2016-11-05       Impact factor: 2.502

Review 3.  Advanced Hemodynamic Management in Patients with Septic Shock.

Authors:  Bernd Saugel; Wolfgang Huber; Axel Nierhaus; Stefan Kluge; Daniel A Reuter; Julia Y Wagner
Journal:  Biomed Res Int       Date:  2016-09-14       Impact factor: 3.411

4.  Estimation of pulse pressure variation and cardiac output in patients having major abdominal surgery: a comparison between a mobile application for snapshot pulse wave analysis and invasive pulse wave analysis.

Authors:  Phillip Hoppe; Fabian Gleibs; Luisa Briesenick; Alexandre Joosten; Bernd Saugel
Journal:  J Clin Monit Comput       Date:  2020-08-04       Impact factor: 2.502

5.  Increased extravascular lung water index (EVLWI) reflects rapid non-cardiogenic oedema and mortality in COVID-19 associated ARDS.

Authors:  Tobias Lahmer; Wolfgang Huber; Sebastian Rasch; Paul Schmidle; Sengül Sancak; Alexander Herner; Christina Huberle; Dominik Schulz; Ulrich Mayr; Jochen Schneider; Christoph D Spinner; Fabian Geisler; Roland M Schmid
Journal:  Sci Rep       Date:  2021-06-01       Impact factor: 4.379

  5 in total

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