Cardiac Output Monitoring: A Contemporary Assessment and Review

Authors, Journal, Affiliations, Type, DOI

Overview

A principle-by-principle review of every commercially relevant way to measure cardiac output, written to let clinicians choose a device on the basis of what it actually measures rather than what it claims. Its central verdict: thermodilution is the most accurate technique against experimental reference standards; Doppler-based methods approach it in accuracy while being less invasive and offering beat-to-beat trending, at the cost of dependence on beam alignment and knowledge of aortic cross-sectional area; bioimpedance is less accurate; and the newer classes — pulse contour, partial rebreathing, pulse wave velocity — rest on far fewer studies, are mostly validated against thermodilution rather than a true reference standard, and in the majority of studies show decreased accuracy. The review is valuable for its equations: it derives each device family from its physical basis, and those derivations are what distinguish the techniques and explain their failure modes. All ten numbered equations are transcribed in full below, together with their original symbol definitions.

Keywords

Cardiac output; echocardiography; goal-directed therapy; hemodynamic monitoring; minimally invasive monitoring; pulmonary artery catheter

The Ten Equations of Cardiac Output Measurement

Every numbered equation in the review, transcribed and reproduced. The source PDF renders these as typeset images rather than selectable text, so each is given both as transcribed text (searchable) and as the original image (visually faithful).

Fick principle — Equation 1

Described by Adolf Eugen Fick (1829–1901) as the relationship between cardiac output, oxygen uptake, and the arteriovenous oxygen content difference. This is the foundation of the oximetric Fick reference method.

CO = V̇o₂ / (Cao₂ − Cvo₂)

Indicator dilution — Equation 2 (Stewart–Hamilton)

Stewart's "indicator-dilution" method relies on injecting an indicator (e.g. dye) and measuring a time–concentration curve. Flow is calculated from derivatives of the Conservation of Indicator Principle, known as the Stewart–Hamilton equations.

m = Q ∫₀^∞ c(t)dt

Thermodilution — Equation 3 (Swan–Ganz)

Fegler adapted Stewart's technique using temperature as the indicator. To apply this in Swan thermodilution the additional factors below must be considered.

CO = V_I(T_B − T_I) K₁ × K₂ / ∫₀^∞ ΔT_B(t)dt

Doppler ultrasound — Equation 4

Relates the frequency change of a returning ultrasound beam to the velocity of a moving reflector, via the speed of sound in tissue and the angle of incidence.

v = cΔf / (2f₀ cos(θ))

CO₂-based Fick — Equation 5

Carbon dioxide can measure CO using a modified version of the Fick equation.

CO = V̇co₂ / (Cpaco₂ − Csaco₂)

Partial rebreathing — Equations 6, 7, 8

The partial rebreathing technique assumes CO does not change between periods of non-rebreathing (minimal dead space) and partial rebreathing (dead space added to the ventilator circuit). CO in both states can be written as two equations:

CO = V̇co₂,non / (Cpaco₂,non − Csaco₂,non)
   = V̇co₂,rebr / (Cpaco₂,rebr − Csaco₂,rebr)

(6)

Combining the two states gives:

CO = (V̇co₂,non − V̇co₂,rebr) / [ (Cpaco₂,non − Csaco₂,non) − (Cpaco₂,rebr − Csaco₂,rebr) ]

(7)

If one assumes Cpaco₂ does not change between the non-rebreathing and partial rebreathing periods, the equation simplifies:

CO = V̇co₂,non − V̇co₂,rebr / (Csaco₂,rebr − Csaco₂,non)

(8)

Pulse contour analysis — Equation 9 (PiCCO stroke volume)

Frank's Windkessel model of blood flow underlies most early attempts to derive CO from the arterial pulse contour; the aorta acts as a capacitor and the systemic arterioles as a resistor (the "two-element Windkessel model"). The PiCCO system treats compliance as a dynamic variable dependent on pressure.

SV = k ∫_end-diastole^end-systole [ P(t)/SVR + C(p) × dP/dt ] dt

(9)

Pulse wave velocity — Equation 10 (Moens–Korteweg)

Describes the velocity of a pulse wave through an elastic tube using the tube's elasticity, wall thickness and diameter, and the density of the fluid within it.

V = k(Eh / ρD)^(1/2)

(10)

Key Takeaways

Methods

Thermodilution

Ultrasound-based techniques

Bioimpedance and bioreactance

Partial rebreathing

Pulse contour analysis

Photoplethysmographic

Pulse wave velocity

Conclusions

Figure 1 — the review's qualitative comparison of commercially available cardiac output monitoring technology, across calibrated and uncalibrated pulse contour, Doppler, bioimpedance, rebreathing and other classes. White = above average, lined = average, black = below average (or insufficient data to assess).

Limitations of the document

Stated and evident in the review itself

Key Concepts Mentioned

Key Entities Mentioned

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