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Clinical validation of a new thermodilution system for the assessment of cardiac output and volumetric parameters

Overview of attention for article published in Critical Care, May 2012
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3 X users

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107 Mendeley
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Title
Clinical validation of a new thermodilution system for the assessment of cardiac output and volumetric parameters
Published in
Critical Care, May 2012
DOI 10.1186/cc11366
Pubmed ID
Authors

Nicholas Kiefer, Christoph K Hofer, Gernot Marx, Martin Geisen, Raphaël Giraud, Nils Siegenthaler, Andreas Hoeft, Karim Bendjelid, Steffen Rex

Abstract

ABSTRACT: INTRODUCTION: Transpulmonary thermodilution is used to measure cardiac output (CO), global end-diastolic volume (GEDV) and extravascular lung water (EVLW). A system has been introduced (VolumeView/EV1000™ system, Edwards Lifesciences, Irvine CA, USA) that employs a novel algorithm for the mathematical analysis of the thermodilution curve. Our aim was to evaluate the agreement of this method with the established PiCCO™ method (Pulsion Medical Systems SE, Munich, Germany, clinicaltrials.gov identifier: NCT01405040) METHODS: Seventy-two critically ill patients with clinical indication for advanced hemodynamic monitoring were included in this prospective, multicenter, observational study. During a 72-hour observation period, 443 sets of thermodilution measurements were performed with the new system. These measurements were electronically recorded, converted into an analog resistance signal and then re-analyzed by a PiCCO2™ device (Pulsion Medical Systems SE). RESULTS: For CO, GEDV, and EVLW, the systems showed a high correlation (r2 = 0.981, 0.926 and 0.971, respectively), minimal bias (0.2 L/minute, 29.4 ml and 36.8 ml), and a low percentage error (9.7%, 11.5% and 12.2%). Changes in CO, GEDV and EVLW were tracked with a high concordance between the two systems, with a traditional concordance for CO, GEDV, and EVLW of 98.5%, 95.1%, and 97.7% and a polar plot concordance of 100%, 99.8% and 99.8% for CO, GEDV, and EVLW, respectively. Radial limits of agreement for CO, GEDV and EVLW were 0.31 ml/minute, 81 ml and 40 ml, respectively. The precision of GEDV measurements was significantly better using the VolumeView™ algorithm compared to the PiCCO™ algorithm (0.033 (0.03) versus 0.040 (0.03; median (interquartile range), P = 0.000049). CONCLUSIONS: For CO, GEDV, and EVLW, the agreement of both the individual measurements as well as measurements of change showed the interchangeability of the two methods. For the VolumeView method, the higher precision may indicate a more robust GEDV algorithm. TRIAL REGISTRATION: clinicaltrials.gov NCT01405040.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 2%
Switzerland 1 <1%
France 1 <1%
Italy 1 <1%
United Kingdom 1 <1%
Mexico 1 <1%
Romania 1 <1%
Unknown 99 93%

Demographic breakdown

Readers by professional status Count As %
Other 26 24%
Researcher 16 15%
Student > Ph. D. Student 12 11%
Student > Master 10 9%
Student > Postgraduate 8 7%
Other 16 15%
Unknown 19 18%
Readers by discipline Count As %
Medicine and Dentistry 76 71%
Engineering 4 4%
Agricultural and Biological Sciences 2 2%
Computer Science 1 <1%
Earth and Planetary Sciences 1 <1%
Other 3 3%
Unknown 20 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 June 2012.
All research outputs
#16,048,009
of 25,374,917 outputs
Outputs from Critical Care
#5,211
of 6,554 outputs
Outputs of similar age
#108,698
of 178,898 outputs
Outputs of similar age from Critical Care
#62
of 113 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,554 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 178,898 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 113 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.