1000
Asia Pacific J Clin Nutr (1995) 4: 125-128
Asia Pacific J Clin Nutr (1995)
4: 125-128

Body composition studies in intensive
care patients: comparison of methods of measuring total body water
L.D. Plank, D.N. Monk, R. Gupta, G. Franch-Arcas,
J. Pang and G.L. Hill
University Department of Surgery,
Auckland Hospital, Auckland, New Zealand.
Changes in total body water (TBW) were monitored
in 12 critically-ill intensive care patients using four independent
methods. Over the 10-day study period TBW measured by tritium
dilution changed from 51.3 ± 2.5 (SEM) kg to 43.6 ± 2.3 kg, an average loss of 7.7 ± 0.8 kg. A six-compartment model of the body incorporating measurements
of protein by in vivo neutron activation analysis and fat
and bone mineral by dual-energy X-ray absorptiometry was used
to determine TBW by difference from body weight. The 10-day change
in TBW measured by this approach was 8.4 ± 0.9 kg which correlated
well with the tritium dilution changes (r=0.84, P<0.01, SEE=1.83
kg). The changes measured by single frequency and multi-frequency
bio- electrical impedance analysis were not significantly different
from the tritium results (9.7 ± 1.3 and 8.2 ± 0.8 kg. respectively) although
the prediction errors were high for both methods (SEE=3.29 and
2.72 kg, respectively) with correlations that were statistically
significant for the single frequency approach but not for the
multi-frequency approach (r=0.71, P<0.01 and r=0.45, ns, respectively).
The high prediction errors render these impedance techniques inappropriate,
at the present time, for monitoring total water changes in individual
intensive care patients.
Introduction
Critical illness is characterized by dramatic changes
in body composition which include marked losses of body protein and
expansion of body water. If these changes are large and prolonged
they are associated with immunosuppression, compromised wound healing,
loss of muscle function and finally, multiple-organ dysfunction or
failure and in some cases, death. Reliable monitoring of the body
composition of these patients offers a tool for testing the efficacy
of new therapies designed to modify the metabolic disturbances suffered
by these patients and thence to enhance their recovery. New developments
in body composition technology have expanded the range of measurements
that can be applied to such patients. For example, dual-energy X-ray
absorptiometry (DEXA) allows both total and regional fat, lean tissue
and bone mineral assessment1 and estimation of total appendicular
muscle mass< 1000 sup>2. Multiple frequency bioimpedance analysis
(MFBIA) is under development to measure the total water compartment
and its distribution across the intra- and extracellular spaces3.
Both MFBIA and single frequency bioimpedance analysis (SFBIA) have
yielded encouraging results when applied to healthy individuals3-5.
In this report we have examined four independent methods of measuring
total body water (TBW) in critically ill patients who have suffered
either major trauma or serious sepsis. Our approach was to compare
an established isotope dilution procedure for total water measurement
with results given by SFBIA, MFBIA, and the combination of DEXA and
in vivo neutron activation analysis (IVNAA).
Methods
Subjects
The study group comprised 12 patients (median age
25 years, range 16 to 53 years, 11 men, 1 woman) admitted to the Department
of Critical Care Medicine, Auckland Hospital, suffering from major
trauma (injury severity score > 16) or septic shock. Table 1 shows
relevant clinical data. The study was approved by the Research Ethics
Committee of the Auckland Hospital, and informed consent was obtained
from the patients' next of kin.
Table 1. Clinical data for 12 intensive care
patients.
Patient |
Sex |
Age (yrs) |
Diagnosis |
CT |
M |
17 |
Head injury. Right extradural
haematoma requiring surgical drainage. |
SA |
M |
20 |
Industrial trauma with
ruptured spleen and left renal contusion. Splenectomy. |
IS |
F |
19 |
Traumatic pancreatitis
requiring distal pancreatectomy and splenectomy. |
RF |
M |
26 |
Meningococcal meningitis
leading to meningococcal septicemia . |
DB |
M |
23 |
Head injury with multiple
frontal lobe contusio 1000 ns. No surgery required. |
DH |
M |
53 |
Head injury with facial
fractures. Fractured ribs. Right lung contusion. |
HJ |
M |
25 |
Intra-abdominal abscess. |
MK |
M |
39 |
Basal skull fracture.
Pneumothorax. Fractures of left humerus and ribs. Bilateral fracture
of clavicles. |
DP |
M |
32 |
Head injury. Right intracerebral
haematoma. |
GP |
M |
53 |
Urolithiasis causing
septic shock. |
KS |
M |
16 |
Trauma-frontal lobe
haematoma. Fractures of left tibia, radius and ulna. |
ST |
M |
25 |
Multiple abscesses.
Laparotomy required. |
Body
composition measurements
Tritium dilution. TBW was determined following
the IV injection of a tracer dose of tritiated water (3.7 MBq) as
described in detail elsewhere6. Blood samples were taken
at 4, 5 and 6 hours after injection and tritium assayed in water extracted
from the serum. TBW is assumed to be the tritiated water space as
given by the mean of the 4-, 5- and 6-hour samples.
In vivo neutron activation analysis. The prompt
gamma IVNAA technique as implemented in this Department for the measurement
of critically-ill patients has been described in detail elsewhere7.
The patient lies supine on a horizontal couch which is driven at a
constant speed between two 238PuBe neutron sources, one
above and one beneath the couch. Collimated beams of fast neutrons
from the sources irradiate the patient. Gamma rays emitted during
the irradiation are counted by four 5 x 6 cm sodium iodide scintillation
counters mounted two on each side of the patient. Net counting rates
due to ne 1000 utron capture gamma rays from nitrogen (10.8 Mev) are
recorded. Total body protein (P) is calculated assuming nitrogen comprises
16% of the protein in the body.
Dual-energy X-ray absorptiometry. DEXA can
be used to partition body mass into three components: total body fat
(F), bone mineral content (B), and fat-free soft tissue (L)1,8.
DEXA measurements were performed using a commercial scanner (model
DPX+, Lunar Radiation Corp, Madison, Wl, USA) and the manufacturer's
whole-body software (version 3.6y).
Single frequency bio-electrical impedance analysis.
A four-terminal impedance analyser was used to measure resistance
and reactance following the manufacturer's instructions (Model BIA-101,
RJL Systems, Detroit, Ml, USA). Gel electrodes were placed on the
hand and foot of the dominant side and measurements were taken with
arms and legs slightly spread. The measured values of resistance and
reactance were entered into the computer program supplied by RJL Systems,
along with the subject's weight, height, age, and sex, to provide
estimates of TBW.
Multiple frequency bio-electrical impedance analysis.
A Xitron-4000B impedance analyser (Xitron Technologies, Inc., San
Diego, CA, USA) was used to measure resistance, reactance, impedance
and phase angle at 48 frequencies between 5 and 500 kHz. A tetrapolar
arrangement of gel electrodes was applied as for the single frequency
measurement. The data collected by an online computer were fitted
to modelling software provided by the manufacturers. The Cole-Cole
electrical circuit model for muscle tissue is used to generate values
for the resistivities of the extra- and intracellular fluid spaces
and the volumes of these spaces are derived from equations developed
by the manufacturers based on the volume theories of Hanai9.
Calculations and statistical analysis. TBW
was calculated from the IVNAA and DEXA results by a difference method
which assumes a six-compartment model for the body, ie:
TBW by difference = weight - P - B - F - G - NB,
(1)
where the small non-bone minerals (NB) and glycogen
(G) compartments are estimated from total protein and total minerals,
respectively, based on the sizes of these compartments in reference
man10. NB is calculated as 5.7% of total protein and G
is estimated as 15% of total minerals (B+NB). Inclusion of these two
components reduces the systematic error that would otherwise arise
in extracting TBW by a difference approach.
Figure 1. Ten day losses in total body water
for each of 12 patients measured by tritium dilution, a compartmental
modelling approach (difference method), single frequency (SFBIA) and
multifrequency (MFBIA) bioimpedance analysis.

Table 2. Body composition changes over 10 days
in 12 intensive care patients.
Components of body composition (kg).
|
Patient |
Weight |
Protein |
Fat |
Bone mineral |
1000
|
Day 0 |
Day 10 |
Day 0 |
Day 10 |
Day 0 |
Day 10 |
Day 0 |
Day 10 |
SA |
85.3 |
74.2 |
12.44 |
12.36 |
6.89 |
5.66 |
4.14 |
3.99 |
DB |
63.2 |
58.2 |
8.42 |
8.04 |
10.06 |
9.16 |
2.75 |
2.70 |
DF |
76.4 |
67.9 |
11.73 |
10.18 |
8.23 |
6.86 |
3.01 |
2.88 |
DH |
90.3 |
76.8 |
13.40 |
10.30 |
10.47 |
10.45 |
4.01 |
3.86 |
HJ |
75.7 |
58.4 |
9.07 |
7.73 |
11.55 |
9.99 |
2.93 |
2.75 |
MK |
90.7 |
75.1 |
12.56 |
10.19 |
17.10 |
16.95 |
3.00 |
3.04 |
DP |
74.9 |
64.7 |
10.08 |
8.77 |
8.94 |
8.64 |
2.95 |
2.81 |
GP |
90.5 |
84.2 |
10.58 |
9.44 |
23.14 |
21.68 |
3.01 |
3.08 |
IS |
57.8 |
51.1 |
7.43 |
6.65 |
13.83 |
14.56 |
2.65 |
2.41 |
KS |
80.9 |
67.0 |
11.74 |
8.97 |
8.19 |
7.61 |
3.29 |
3.31 |
ST |
95.3 |
87.7 |
12.76 |
12.66 |
13.79 |
14.39 |
3.53 |
3.81 |
CT |
74.2 |
67.6 |
10.40 |
9.08 |
8.80 |
8.31 |
4.05 |
3.86 |
Differences |
|
|
|
|
|
|
|
|
Mean |
-10.2 |
-1.35 |
-0.56 |
-0.07 |
SEM |
1.2 |
0.28 |
0.22 |
0.04 |
P |
<0.0001 |
0.0006 |
0.029 |
ns |
t-test for 10 day difference; ns, not significant.
Tritium dilution was compared with the other methods
of TBW estimation by using repeated measures analysis of variance
and regression analyses as indicated. All statistical analyses were
carried out using SAS (Statistical Analysis System)11.
Limits of agreement (mean difference ± 2SD of the differences) between TBW by tritium
dilution and the other methods were calculated using the method of
Bland and Altman12. A significance level of 5% was used.
Protocol
Patients were transported to the body composition
laboratory of the Department of Surgery as soon as they were haemodynamically
stable. An electrically operated hoist incorporating a load cell for
weighing the patient was used to transfer the patient to the scanning
couches for body composition assessment. The measurements were repeated
on each patient 10 days following the initial assessment. Supine height
of each patient was used to determine scanning time for IVNAA. Standing
height was measured following recovery.
Results
The changes in body weight and in body composition
assessed by DEXA and IVNAA for the 12 patients over 10 days are shown
in Table 2. A dramatic fall in body weight was observed (mean loss
10.2 kg, P<0.0001) and all patients lost protein (mean loss 1.4
kg, P<0.001). The individual 10 day changes in TBW as measured
by four independent methods are presented in Figure 1. Table 3 shows
the mean changes in TBW over the 10 days measured by tritium dilution
compared with measurements using the bioimpedance and difference techniques.
The 10 day losses were statistically significant for all four methods
(paired t-tests, P<0.0001). Repeated measures ANOVA indicated no
significant difference between tritium dilution and TBW measured by
any of the other three methods for either day of measurement or for
the 10 day changes. When measurements for both days are combined the
correlations between tritium TBW and the other TBW methods were all
highly significant (P<0.0001) (Table 4). The linear regressions
of each of these three other methods on tritium TBW were not significantly
different from the line of identity although the SEE for the difference
method was approximately half those found for the bioimpedance methods.
When the 10 day changes in TBW by tritium dilution were correlated
with the changes measured by the difference, SFBIA and MFBIA techniques
the respective correlation coefficients were 0.84 (P<0.001), 0.71
(P<0.01), and 0.45 (ns) (Table 5). For all the measurements taken
the difference technique measures on average 1.09 ± 0.35 (SEM) kg more than tritium dilution with limits of agreement ranging
between -4.5 and 2.4 kg (Table 1000 6). Although the bias is not significant
for the SFBIA method (mean difference 0.93 ±
0.69 kg) the limits of agreement range between -7.7 and 5.8 kg. The
MFBIA method underestimates the water space given by tritium dilution
with similarly wide limits of agreement ranging from -4.4 to 9.2 kg.
Table 3. Total body water measurements (kg)
in 12 patients over 10 days by four methods (mean ± SEM).
|
Day 0 |
Day 10 |
10 day loss |
P value* |
Tritium |
51.3± 2.5 |
43.6± 2.3 |
7.7± 0.8 |
<0.0001 |
Difference |
52.8± 2.5 |
44.4± 2.2 |
8.4± 0.9 |
<0.0001 |
SFBIA |
53.3± 2.9 |
43.5± 2.4 |
9.7± 1.3 |
<0.0001 |
MFBIA |
49.2± 2.6 |
41.0± 2.6 |
8.2± 0.8 |
<0.0001 |
ANOVAt |
ns |
ns |
ns |
|
*t-test for 10-day loss. tRepeated measures
ANOVA comparing the four methods of measurements; ns, not significant.
Table 4. Correlations (r) between TBW measured
by tritium dilution and three other methods for measurements on 12
patients on two occasions.
Method |
Slope* |
Intercept* |
SEE(kg) |
CV(%) |
r |
P |
Difference |
1.00 |
1.32 |
1.76 |
3.6 |
0.98 |
<0.0001 |
SFBIA |
1.09 |
-3.13 |
3.37 |
7.0 |
0.95 |
<0.0001 |
MFBIA |
1.02 |
-3.36 |
3.46 |
7.7 |
0.94 |
<0.0001 |
*Slope and intercept for the regression on TBW by
tritium dilution
Table 5. Correlations (r) between 10 day changes
in TBW measured by tritium dilution and three other methods for 12
patients.
Method |
Slope* |
Intercept* |
SEE(kg) |
r |
P |
Difference |
1.02 |
0.51 |
1.83 |
0.84 |
0.0006 |
SFBIA |
1.21 |
0.42 |
3.29 |
0.71 |
0.009 |
MFBIA |
0.49 |
-4.45 |
2.72 |
0.45 |
ns |
*Slope and intercept for the regression on TBW by
tritium dilution.
Table 6. Mean differences (± SEM) and limits of agreement for
comparison of TBW measured by tritium dilution with three other methods
for measurements on 12 patients on two occasions.
Method |
Mean difference (kg)* |
SEM (kg) |
Limits of agreement (kg) |
Difference |
-1.09 |
0.35 |
-4.53 - 2.35 |
SFBIA |
-0 93 |
0.69 |
-7.68 - 5.84 |
MFBIA |
2.40 |
0.69 |
-4.38 -9.18 |
*TBW by tritium dilution minus other method.
Discussion
Tracer dilution methods, using deuterated or tritiated
water, are well established as a means of determining the size of
the total body water compartment in human subjects. These methods
necessitate, however, time-consuming analyses of blood samples and,
in the case of tritium, a radiation dose to the subject. A rapid,
safe, noninvasive and straightforward technique for measuring this,
the largest compartment of the body, would prove to be of considerable
benefit both to the clinician and to the body composition researcher.
BIA is such a technique which has proved reliable for assessment of
TBW in healthy subjects3-5. Its reliability in pathological
conditions, however, is controversial13,14. In the present
study we have compared TBW measurements from two BIA instruments and
a compartmental modelling approach with tritium dilution as an established
reference technique for body water estimation. We have demonstrated
that in a group of patients undergoing large changes in hydration
status BIA can reliably monitor these fluid changes. The residual
variances about the regressions on TBW by dilution and the wide limits
of agreement between the dilution and the BIA techniques suggest that
the BIA methods are inappropriate at the present time for measuring
changes in total water in the individual intensive care patient. The
compartmental modelling approach agrees well with the results of tritium
dilution and confirms, at least for the measurement of changes in
TBW, the accuracy of the latter. For the measurement of absolute size
of the water compartment both approaches are subject to small systematic
errors which, in the case of tritium dilution, derive from the extent
of exchange with non-aqueous hydrogenl5, and in the case
of the difference approach, derive largely from fluctuations in the
glycogen compartment.
AcknowledgmentsThis work was supported by the Health Research Council of New Zealand
and Ross Laboratories, Columbus, OH. We would like to thank the staff
of the Department of Critical Care Medicine in Auckland Hospital without
whose support this study would not have been possible.
References
- Mazess RB, Barden HS, Bisek JP, Hanson J. Dual-energy
X-ray absorptiometry for total-body and regional bone-mineral and
soft-tissue composition. Am J Clin Nutr 1990; 51: 1106- 12.
- Heymsfield SB, Smith R, Aulet M, Bensen B, Lichtman
S, Wang J, Pierson RN. Appendicular skeletal muscle mass: measurement
by dual-photon absorptiometry. Am J Clin Nutr 1989; 52: 214-8.
- Van Loan MD, Mayclin PL. Use of multi-frequency
bioelectrical impedance analysis for the estimation of extracellular
fluid. Eur J Clin Nutr 1992; 46: 117-24.
- Segal KR, Burastero, Chun A, Coronel P, Pierson
RN, Wang J. Estimation of extracellular and total body water by
multiple-frequency bioelectrical-impedance measurement. Am J Clin
Nutr 1991; 54: 26-9.
- Kushner RF, Schoeller DA. Estimation of total body
water by bioelectrical impedance analysis. Am J Clin Nutr 1986;
44: 417-24.
- Streat SJ, Beddoe AH, Hill GL. Measurement a60
of total body water in intensive care patients with fluid overload.
Metabolism 1985; 34: 688-94.
- Mitra S, Plank LD, Hill CL. Calibration of a prompt
gamma in vivo neutron activation facility for direct measurement
of total body protein in intensive care patients. Phys Med Biol
1993; 38: 1971-5.
- Heymsfield SB, Wang J, Heshka S, Kehayias JJ, Pierson
RN. Dual-photon absorptiometry: comparison of bone mineral and soft
tissue mass measurements in vivo with established methods. Am J
Clin Nutr 1989; 49: 1283-89.
- Hanai T. Electrical properties of emulsions. In:
Sherman P, ed. Emulsion Science, London: Academic Press, 1968: 354-477.
- ICRP. Report of the Task Group on Reference Man.
International Commission on Radiologic Protection. Oxford, UK: Pergamon,
1975.
- SAS Institute Inc. SAS/STAT User's Guide, Release
6.03 Edition. Cary, NC: SAS Institute Inc., 1988.
- Bland JM, Altman DG. Statistical methods for assessing
agreement between two methods of clinical measurement. Lancet 1986;
1: 307-10.
- Zillikens MC, van den Berg JWO, Wilson JHP, Swart
GR. Whole-body and segmental bioelectrical-impedance analysis in
patients with cirrhosis of the liver: changes after treatment of
ascites. Am J Clin Nutr 1992; 55: 621-5.
- Meguid MM, Lukaski HC, Tripp MD, Rosenberg JM,
Parker FB. Rapid bedside method to assess changes in postoperative
fluid status with bioelectrical impedance analysis. Surgery 1992;
112: 502-8.
- Streat SJ, Beddoe AH, Hill GL. Measurement of body
fat and hydration of the fat-free body in health and disease. Metabolism
1985; 34: 509-518.

Copyright © 1995 [Asia Pacific Journal of Clinical
Nutrition]. All rights reserved.
Revised:
January 19, 1999
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