I have read the article by Nyberg et al.1  with interest, and would like to comment on their approach to model fluid volume kinetics.

The two-volume model they used is well known to become unstable if the plasma dilution time curve has a flat appearance postinfusion.2  To prevent this problem, the customary procedure is to equalize the elimination to the urinary excretion. The authors quantified the excreted urine by weighing but did not use this information. Their choice resulted in an unstable model, which is evidenced by a coefficient of variation as large as 123% for the elimination rate constant (ke). Recent articles using the same population kinetic model report a coefficient of variation for ke of only 5% to 15%.3–5 

The key result requires clarification. The study compared the plasma dilution in bled volunteers who did and did not receive isoflurane anesthesia. The Abstract says that the maximum plasma dilution was 35% higher, and that the area under the curve for the plasma dilution was 99% larger, in the group that received isoflurane anesthesia. However, the observed data plotted in figs. 6 and 7, as well as my own simulation based on table 1, show that the plasma dilution was similar between both groups and was even slightly lower among those who received isoflurane.

I still assume that the Abstract is correct because previous studies show that induction of epidural, spinal, or general anesthesia increase the plasma dilution resulting from infused crystalloid fluid. The magnitude of this dilution depends directly on the decrease in arterial pressure.6–8  The reason is retarded distribution.8  No excessive dilution occurs if the pressure is unchanged.6,9  Nyberg et al. established arterial access and measured the pressure, but they did not consider the anesthesia-induced hypotension in their model.

Finally, the mean arterial pressure was the strongest predictor of ke in a population volume kinetic analysis of 78 conscious and anesthetized humans receiving crystalloid fluid,4  as well as in another cohort of anesthetized patients.10  This potential covariate does not seem to have been considered either.

The author declares no competing interests.

1.
Nyberg
J
,
Li
H
,
Wessmark
P
,
Winther
V
,
Prough
DS
,
Kinsky
MP
,
Svensén
CH
:
Population kinetics of 0.9% saline distribution in hemorrhaged awake and isoflurane-anesthetized volunteers.
Anesthesiology
2019
;
131
:
501
11
2.
Hahn
RG
,
Drobin
D
:
Urinary excretion as an input variable in volume kinetic analysis of Ringer’s solution.
Br J Anaesth
1998
;
80
:
183
8
3.
Hahn
RG
:
The elimination half-life of crystalloid fluid is shorter in female than in male volunteers: A retrospective population kinetic analysis.
Biol Sex Diff
2016
;
7
:
54
4.
Hahn
RG
:
Arterial pressure and the elimination of crystalloid fluid: A population-based study.
Anesth Analg
2017
;
124
:
1824
33
5.
Hahn
RG
:
Influences of the red blood cell count on the distribution and elimination of crystalloid fluid.
Medicina
2017
;
53
:
233
41
6.
Hahn
RG
:
Haemoglobin dilution from epidural-induced hypotension with and without fluid loading.
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1992
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4
7.
Drobin
D
,
Hahn
RG
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Time course of increased haemodilution in hypotension induced by extradural anaesthesia.
Br J Anaesth
1996
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77
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223
6
8.
Li
Y
,
Zhu
S
,
Hahn
RG
:
The kinetics of Ringer’s solution in young and elderly patients during induction of general and epidural anesthesia.
Acta Anaesth Scand
2007
;
51
:
880
7
9.
Hahn
RG
,
Lindahl
CC
,
Drobin
D
:
Volume kinetics of acetated Ringer’s solution during experimental spinal anaesthesia.
Acta Anaesthesiol Scand
2011
;
55
:
987
94
10.
Lee
JH
,
Choo
YJ
,
Lee
YH
,
Rhim
JH
,
Lee
SH
,
Choi
BM
,
Oh
ST
,
Choi
KT
,
Noh
GJ
:
Population-based volume kinetics of Ringer’s lactate solution in patients undergoing open gastrectomy.
Acta Pharmacol Sin
2019
;
40
:
710
6