2004
DOI: 10.1007/s10286-004-0191-1
|View full text |Cite
|
Sign up to set email alerts
|

Stroke volume monitored by modeling flow from finger arterial pressure waves mirrors blood volume withdrawn by phlebotomy

Abstract: Rate-controlled blood withdrawal was used to reduce cardiac preload and consequently stroke volume in patients with normal cardiac function. Twelve patients with asymptomatic hereditary hemochromatosis, undergoing regular phlebotomy therapy, volunteered for the study. An average volume of 375 ml was withdrawn in an average period of 6.4 min. Finger pressure was continuously measured by a Finometer device which includes the Beatscope software for deriving the stroke volume from the blood pressure waveform. Bloo… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

2
32
0

Year Published

2007
2007
2016
2016

Publication Types

Select...
8
1

Relationship

1
8

Authors

Journals

citations
Cited by 48 publications
(34 citation statements)
references
References 31 publications
2
32
0
Order By: Relevance
“…Cardiac output, stroke volume, and total peripheral resistance were estimated by an analysis of blood pressure waveform (Windkessel model; 10). This model takes into account different parameters, such as weight, height, age, and sex (29).…”
Section: Orthostatic Test and Head-up Tilt Testmentioning
confidence: 99%
“…Cardiac output, stroke volume, and total peripheral resistance were estimated by an analysis of blood pressure waveform (Windkessel model; 10). This model takes into account different parameters, such as weight, height, age, and sex (29).…”
Section: Orthostatic Test and Head-up Tilt Testmentioning
confidence: 99%
“…However, the validity of absolute ModelFlow estimates are uncertain during initial changes in posture or with ageing (Remmen et al 2002). Therefore, the emphases of these data are on comparative changes because ModelFlow-derived estimates of SV and Á Q track group-averaged changes reliably (Leonetti et al 2004). It should be noted that, as TPR is estimated by the ModelFlow method, it is not possible to completely differentiate the venous from the arterial contribution, and thus effects on preload versus afterload.…”
Section: Limitationsmentioning
confidence: 99%
“…The latter is used in this protocol because it is non-invasive and can assess the onset of presyncope with the same accuracy as catherization 31,34 , without the detrimental impact of invasive monitoring on OT 1 . Using the Modelflow technique changes in stroke volume, cardiac output, and total peripheral resistance can be derived from the finger arterial pressure waveform 35,36 1. Equipment 1.…”
Section: Protocolmentioning
confidence: 99%