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1 Center for Environmental
Medicine and Lung Biology, It has been
speculated that convective ventilatory inhomogeneities are an important
factor influencing aerosol bolus behavior in the compromised
lung. Multiple-breath
133Xe washout
(MBWXe) is a commonly accepted
test of ventilation distribution. By comparing aerosol bolus parameters
to MBWXe in 9 healthy subjects and
14 cystic fibrosis patients with mild-to-moderate airway obstruction,
we have attempted to discern the effect of altered ventilation
distribution on aerosol bolus dispersion and recovery. Aerosol boluses
(150-ml width) were delivered to the volumetric penetrations of 250 and
500 ml. Similar tidal volumes (~1.25 liters) and flow rates (0.4 l/s)
were used for aerosol bolus and
MBWXe maneuvers. Associations
between bolus parameters and ventilation distribution were only
observed in the cystic fibrosis patients. We conclude that aerosol
bolus dispersion and recovery are both influenced by convective
ventilatory inhomogeneities induced by airway obstruction in these patients.
aerosol deposition; lung mechanics; obstructive lung disease
AEROSOL BOLUS DISPERSION (ABD) has been proposed as a
sensitive measure of small airway function (3, 5, 13, 15, 20). This technique consists of inserting a volumetrically
small bolus of aerosol into a subject's tidal volume. As the aerosol travels through the airways of the lung, it becomes mixed with particle-free air, such that, on expiration, aerosol is dispersed over
a larger volume of air than was the inhaled bolus. Relative to healthy
nonsmokers, ABD has been found to be increased in asymptomatic smokers
(3, 5, 15), in patients with cystic fibrosis (CF; Ref. 1), and in
healthy young adults after acute ozone exposure (13). All studies have
found ABD to increase with the volumetric penetration
(Vp) of boluses, i.e., the
volume of clean air inhaled following the center of a bolus (1, 3, 5,
7, 13, 15, 20). In the healthy lung, ABD is thought to be largely due
to convective mixing and nonreversal of axial streaming (7, 20, 26). It
has been speculated, however, that nonuniform distribution of
ventilation due to regional differences in pulmonary resistance and
compliance becomes an increasingly important factor affecting ABD in
compromised lungs (1, 3, 4, 13, 19). Yet no studies have shown a direct
relationship between dispersion and ventilation distribution indexes in
normal subjects or diseased patients.
Regional time constants, regional lung volumes, and
Vp may all play a role in
determining the linear distance inhaled aerosol travels and the
distribution of aerosol among airways at that distance. In a modeling
study, Rosenthal (19) predicted that boluses penetrating a modest depth
(Vp of 400 ml) into the lungs should be more sensitive to nonuniform ventilation between parallel compartments than should deeper boluses, which may preferentially go to
better ventilated compartments, or shallow boluses not penetrating beyond the dead space. At such an intermediate depth, an inhaled bolus
might divide between fast- and slow-ventilated regions so that the
sequential emptying of regions may cause particles, adjacent on
inspiration, to be separated by volume on expiration, thereby increasing ABD. For two compartments of equal volume in parallel, Rosenthal (19) predicted ABD to increase
1) with increasing disparity in
regional time constants and 2) with
the magnitude of time constants when the ratio of time constants is maintained.
Dynamic convective inhomogeneities also influence multiple-breath gas
washouts. The washout of either a single compartment or parallel
compartments with equal time constants should be a monoexponential
function of time when constant flow rates are maintained (10, 18). On
the other hand, disparities in time constants between parallel
compartments may cause a multiexponential washout, the shape of which
depends on the relative size of compartments, the concentration
inhomogeneities between compartments before washout, and the magnitude
of the difference in the time constants (18). Multiple-breath
133Xe washout
(MBWXe) has been utilized as a
means of assessing regional ventilation distribution and whole lung
washout (17, 21, 23-25). Patients with severe obstructive lung
disease not only have slow total washouts but also have markedly
nonuniform washout across the lungs (21).
We hypothesize that the increased ABD observed in CF patients, relative
to normal subjects (1), is partially attributable to altered
ventilation distribution in those patients. To investigate this
hypothesis, we have compared aerosol bolus measurements with measures
of MBWXe in healthy subjects and
CF patients.
Subjects.
Fourteen patients with CF (4 men, 10 women; 20-45 yr of age) and
nine healthy nonsmoking male volunteers (18-40 yr of age) were
recruited to participate in this study. To be recruited for the study,
healthy subjects were required to have a ratio of forced expired volume
in 1 s (FEV1) to forced vital
capacity (FVC) (FEV1/FVC) Aerosol bolus measurements.
Detailed methodology for the bolus technique has been presented
previously (7). Aerosol boluses were inserted into a 1.25-liter tidal
volume, inhaled from functional residual capacity, at the Vp values of 250 ml
(Vp 250) and 500 ml
(Vp 500).
Vp is the volume of air inhaled
following the center, i.e., the volumetric mean, of a bolus. After a
bolus inspiration, subjects exhaled to residual volume. Inspiratory and
expiratory flow rates were kept constant at 0.4 l/s. Inhaled boluses
were targeted to have a volumetric width of 150 ml. Experimentally,
95% of aerosol was confined in 180 ml of the inhaled breath. Boluses
were composed of a 0.5-µm polydisperse (geometric SD = 1.5) aerosol
of triphenyl phosphate (7, 13). All measurements were conducted with
the subject in a seated position. Three to four maneuvers were
conducted at each Vp. Flow and
aerosol concentration from each maneuver were acquired at a 200-Hz
sampling rate and were saved for subsequent data analysis.
![]()
ABSTRACT
Top
Abstract
Introduction
Materials & Methods
Results
Discussion
References
![]()
INTRODUCTION
Top
Abstract
Introduction
Materials & Methods
Results
Discussion
References
![]()
MATERIALS AND METHODS
Top
Abstract
Introduction
Materials & Methods
Results
Discussion
References
70%
and FEV1
90% of predicted,
based on the equations of Knudson et al. (14). Healthy female subjects
were not recruited to minimize the number of women of childbearing age
exposed to radiation in our study. Patients with CF had
mild-to-moderate airway disease with
FEV1 (%predicted) ranging from 49 to 77%. All subjects were free of acute respiratory infection for at
least 2 wk before participation in the study. This study was approved
by the Committee on the Protection of the Rights of Human Subjects,
School of Medicine, University of North Carolina at Chapel Hill. Before
participating in the study, all subjects were informed of
study-associated risks and asked to sign a statement of informed consent.
) is the mean
volume of an expired bolus minus that of the inspired bolus. The second moment is variance. Volume variance was used as an index of ABD and is
the variance of an exhaled bolus minus that of the inhaled bolus. If
the pattern of lung emptying exactly mirrored that of filling and all
particles retraced streamlines, then an exhaled bolus would be exactly
the same as an inhaled bolus, i.e., R would equal 1.0 and both
and ABD would be zero. The indexes of ABD, R, and
from the individual
maneuvers were averaged for comparisons to gas washout tests.
133Xe washout test. MBWXe was conducted with subjects seated in front of a gamma camera (Elscint Apex 415; large field of view). During the washout, subjects breathed a 1.2-liter tidal volume with tidal flows of 0.4 l/s to mimic the breathing pattern used for the bolus maneuver. Subjects rebreathed 133Xe in air until equilibrium was reached, i.e., until a constant count rate was detected by the camera. At equilibrium, acquisition was initiated with a total of 32 images collected: 4 at equilibrium and 28 during a washout period where 133Xe-free air was inhaled and exhaled 133Xe was captured in a charcoal filter. Each image was acquired for 6 s, which was the subject's breathing period.
Whole lung washout was characterized by fitting single- and double-exponential decay curves to each subject's washout, i.e., Xe(t) = e
t
and Xe(t) = Ff
e
ft + Fs
e
st,
respectively, where Xe(t) is
133Xe counts at time
t, normalized to
133Xe counts at
t = 0;
is the whole lung washout
rate (min
1);
f and
s are washout rates
(min
1) for the early
(fast) and late (slow) phase of washout, respectively; and
Ff and
Fs are
coefficients, which sum to one, and represent the relative amount
(fraction) of 133Xe in the early
(fast) and late (slow) phase of the washout, respectively. 133Xe washout curves were
generated by summing the counts in both lungs for each 6-s image,
dividing by the sum of lung counts from the fourth equilibrium image,
and plotting as a function of time after equilibrium.
Double-exponential decay curves were fit to each subject's washout by
using commercially available curve-fitting software (CurveExpert 1.3, Starkville, MS). For each subject, the
, the squared sample
correlation coefficient or goodness of fit (GoF) for the
single-exponential function, and the
Fs for the
double-exponential function were determined for comparison to bolus
parameters. GoF describes how closely a subject's washout follows a
single-compartment washout. GoF has an upper limit of one for a perfect
single-exponential fit and decreases as a washout deviates toward a
multiexponential decay.
A regional analysis of each subject's
133Xe washout was also performed
on the 50% washout image. Before analysis, the 50% washout image was
normalized for lung volume by dividing by the fourth equilibrium image.
Each lung was then divided into thirds by height, establishing a total
of six regions of interest. Two indexes of the regional distribution
were determined. One index was an apex-to-base ratio (A/B), which is
the total counts in the two apical regions divided by the total counts
in the two basal regions. Differences in apical-to-basal ventilation
distribution are reflected by deviations in A/B from one. The second
index was the SD of the counts for all six lung regions at 50%
133Xe washout
(SD50%). A
perfectly even washout of all six regions would result in a
SD50% equal to zero.
SD50% increases with increasing
heterogeneity of the 133Xe washout.
Pulmonary function tests. Forced-expiratory maneuvers were conducted with the subject in a standing position. Three acceptable trials were obtained from each subject. The largest single FEV1 and FVC values, regardless of trial, were used in the calculation of FEV1/FVC and for percent predicted FEV1. Percent predicted FEV1 (14) was determined for comparisons with bolus data.
Full vital capacity, single-breath nitrogen washouts were conducted with the subject in a seated position (8, 9). Trials for which the mean expiratory flow exceeded 0.5 l/s in the first 0.5 liter of expiration were discarded (9). Phase III slope (
N2) was estimated
for each maneuver (11). The
N2 values from acceptable maneuvers were averaged for comparisons with bolus parameters.
Data analysis (comparisons of tests).
The primary focus of this study was to compare ABD with
MBWXe indexes of ventilation
distribution. Pearson correlation coefficients were utilized for
comparisons between ABD for each
Vp and A/B, SD50%,
, GoF, and
Fs. As a
secondary analysis, we also compared R and
with these parameters. Because each
bolus parameter (ABD, R, and,
) was
measured at two depths into the lung, there were 10 comparisons between
each bolus parameter and other indexes. A Bonferroni correction was
applied, and a significance level of 0.005 was adopted. For comparison
with the findings of Anderson et al. (1, 3), correlations were also determined between bolus parameters of R and ABD and both spirometry (%predicted FEV1) and
N2. Statistical
significance for within- and between-group differences were tested by
dependent (paired) and independent two-tailed Student's
t-test, respectively.
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RESULTS |
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Table 1 provides a summary of mean data for the normal and CF groups. Bolus measurements and spirometry were available on all subjects. Nitrogen washout was not conducted in one CF patient because of instrument malfunction. The MBWXe data of one CF patient were inadvertently deleted during analysis so that indexes of A/B and SD50% were not available. Typical aerosol boluses for a normal subject and CF patient are illustrated in Fig. 1. The MBWXe were slower and less monoexponential in patients than in normal subjects (Table 1).
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ABD and R were significantly different between the CF and normal groups
at both Vp levels (Table 1).
Within groups, measurements made at
Vp 250 were significantly
different from those at
Vp 500 for both ABD and R
(P
0.02). As seen in our previous
study (7), ABD and
were correlated in
both groups at Vp 250
(P < 0.005) and
Vp 500
(P < 0.05). No associations were
observed between ABD and R at either
Vp or in either CF patients or
normal subjects.
In the CF patients, but not in the normal subjects, we found
significant correlations between bolus parameters and ventilation indexes obtained by MBWXe (Table
2). The highly significant associations observed in the CF patients between ABD and
, as well as
Fs at Vp 500, are illustrated in
Figs. 2 and 3,
respectively. As shown in Table 2, weak associations (not significant
after Bonferroni correction) were also observed between ventilation
parameters (
and
Fs) and both
ABD at Vp 250 and
at
Vp 500. The associations observed between R and GoF at
Vp 500 are illustrated in
Fig. 4. Neither of the
regional ventilation indexes, A/B and
SD50%, was correlated with bolus
parameters. No significant correlations were observed between bolus
parameters and MBWXe indexes in
the normal subjects.
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Consistent with the results of Anderson et al. (1), significant
correlations between spirometry and ABD were also observed in the CF
patients: FEV1 (%predicted)
correlated with ABD at
Vp 500 (r =
0.63,
P = 0.02) and to a lesser extent at
Vp 250
(r =
0.51, P = 0.06). As in smokers (3), there
were no significant correlations between the single-breath nitrogen
N2 and bolus measurements observed in either normal
subjects or CF patients.
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DISCUSSION |
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We investigated the influence of ventilation distribution on aerosol
bolus measurements in health and disease. ABD, R, and
were compared with
MBWXe in normal subjects and CF
patients. We made comparisons with five indexes of ventilation
distribution from the MBWXe test:
1)
, which is the total washout
rate of the lungs and is decreased by poor ventilation of obstructed
regions; 2)
Fs, which is the
fraction of the lung that was poorly ventilated; 3) GoF, which reflects the degree to
which the lungs work as a single, presumably well-ventilated
compartment and the uniformity of ventilation between compartments;
4) A/B, which indicates uniformity of ventilation between apical and basal regions of the lungs; and
5)
SD50%, which reflects the
heterogeneity of washout rates across six gross regions of the lung.
Comparisons between these indexes and ABD and R suggest that these
bolus parameters are both affected by nonuniform ventilation
distribution induced by airway obstruction.
Associations between bolus measurements and ventilation distribution
were only observed in the CF patients. Spirometric data show that these
patients had significant airway obstruction, relative to normal
subjects, based on decreased
FEV1/FVC and the forced expiratory
flow over the middle half of FVC (Table 1). Patients also exhibited
marked nonuniform ventilation distribution, relative to normal
subjects, as evidenced by slow washouts (increased
) and
multiexponential 133Xe washouts
(decreased GoF and increased
Fs). We have
made no attempt to quantify the degree to which convection vs.
diffusion-dependent inhomogeneities are affecting ventilation
distribution. However, for particles in the size range of the
experimental aerosol and larger, it is well accepted that aerosol
mixing in the lung is predominantly convective (20, 26). Thus the
associations between bolus parameters and the
MBWXe indexes observed in the CF
patients are likely attributable to the influence of convective
inhomogeneities on these measurements.
ABD in the CF patients was found to be associated with measures of
ventilation distribution in a depth-dependent fashion, i.e.,
ventilation distribution had a greater influence on ABD at the deeper
Vp
(Vp 500) into the lung. In
the CF patients at Vp 500,
ABD was correlated with
Fs
(r = 0.89, P < 0.001) and
(r =
0.76,
P < 0.005). The
is decreased by
the poor ventilation of obstructed regions in the CF patients, and the
fraction of the lung that is poorly ventilated is reflected by
Fs. The strong correlations between ABD and both
and
Fs suggest that,
with increasing severity of obstruction, there is an increasing
probability of an inspired bolus being divided between fast and slow
(i.e., obstructed) regions and that differing time constants between these regions will cause sequential emptying, thereby enhancing ABD.
The late expiration of aerosol from the slow regions may also exhibit
itself as a long tail on the exhaled bolus and account for the positive
association observed between
Fs and
(r = 0.56, P < 0.05) in the patients at
Vp 500. At
Vp 500, on the basis of the
correlations with
Fs and
, ABD
is clearly influenced by inhomogeneities in the distribution of
ventilation between compartments as well as the pattern or sequence of
lung filling and emptying.
At the shallower Vp, ABD did not
show the strong associations with ventilation distribution apparent at
Vp 500. At
Vp 250, ABD was only weakly
associated with
Fs
(r = 0.60, P < 0.05) and
(r =
0.58,
P < 0.05). These weaker associations
at Vp 250 suggest that
deeper aerosol bolus inhalations may be important to detect nonuniform
ventilation distribution brought about by airway obstruction. It may be
that Vp 250 was close enough
to the end of inspiration so as to have the inhaled aerosol
preferentially enter slow filling regions. Aerosol inhaled into slow
regions may be exhaled out later than expected because convective
inhomogeneities may alter the sequence of lung emptying from that of
"last in, first out" to "last in, last out" (10, 16). The
CF patients showed peripheral
(50 ± 30 ml) that was significantly greater than the
(22 ± 25 ml) observed in normal
subjects at Vp 250
(P < 0.05). Despite weak
associations with our measures of ventilation distribution, ABD was
still significantly greater in patients than in normal subjects at
Vp 250
(P < 0.05).
The R correlated well with GoF at both Vp 250 (r = 0.73, P = 0.003) and Vp 500 (r = 0.72, P = 0.003). As the lungs shift from a single, presumably well-ventilated system toward a multicompartment system with healthy and obstructed lung regions, R decreases (Fig. 4). Particles that entered poorly ventilated regions will be exhaled slower and later than particles that entered healthy regions, even though the two sets of particles were similarly localized within the inspired bolus. Increased residence time in slow regions and sites of airway obstruction, which may have induced the ventilatory inhomogeneities, could enhance deposition (12). Indeed, an increased regional deposition fraction for poorly ventilated areas has been reported for aerosols in the 0.5- to 1.0-µm size range and has been attributed to increased residence time (23, 25). It has been demonstrated in healthy children with total lung capacity (TLC) ranging from 2.1 to 5.3 liters that, for a given Vp into the lung, deposition of inhaled particles increases with decreasing TLC, whereas ABD is unaffected (22). The enhanced deposition by sedimentation and diffusion is attributed to smaller dimensions associated with smaller TLC. Similar to the effect of TLC on deposition, the preferential ventilation suspected at Vp 250 may produce an increase in deposition by taking aerosol to smaller airway dimensions than would occur with uniform ventilation patterns.
There were no correlations found between ABD or R and regional measures of ventilation distribution, SD50% and A/B, nor were these latter parameters correlated with other indexes of ventilation distribution. Both SD50% and A/B were significantly increased in patients compared with normal subjects, indicating larger interregional disparities in ventilation within the patients. Specifically, A/B and SD50% both increase with decrements in ventilation to the apical regions of the lungs relative to the basal regions. Gross interregional differences in ventilation, i.e., partial obstruction of an entire lung or multiple lobes, should, theoretically, increase ABD, and they have been shown clinically in one patient to do so (4, 19). For CF patients in our study, however, the damage to the lungs was not so distinct between lung lobes [e.g., a unilateral bronchial stenosis (4)] so as to lead to correlations between ABD and the indexes SD50% and A/B.
In conclusion, the results of this study show that aerosol bolus measurements of ABD and R are related to convective inhomogeneity of ventilation in patients with CF. The influence of uneven ventilation on ABD in these patients was greater when boluses were delivered deeper (500 vs. 250 ml) into the lungs. On the other hand, given the lack of correlations between indexes of ventilation distribution and ABD in normal subjects, it appears that convective inhomogeneity of ventilation is not a major mechanism of dispersion in the normal lung.
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ACKNOWLEDGEMENTS |
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The authors recognize the aid of Kathy Hohneker in recruiting CF patients for participation in this study.
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FOOTNOTES |
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This research was funded in part by the US Environmental Protection Agency (EPA) under a cooperative agreement (CR824915) with the Center for Environmental Medicine and Lung Biology, University of North Carolina at Chapel Hill.
Although the research described in this article was supported by the US EPA through Cooperative Agreement CR824915 to the University of North Carolina at Chapel Hill, Center for Environmental Medicine and Lung Biology, it has not been subjected to EPA review. Therefore, it does not necessarily reflect the view of the EPA, and no official endorsement should be inferred. Mention of trade names or commercial products does not constitute endorsement or recommendation for use.
Present address of T. R. Gerrity: US Department of Veterans Affairs, Office of Research and Development (12-G), 810 Vermont Ave., NW, Washington, DC 20420.
Address for reprint requests: J. S. Brown, Center for Environmental Medicine and Lung Biology, Univ. of North Carolina at Chapel Hill, CB# 7310, 104 Mason Farm Rd., Chapel Hill, NC 27599-7310.
Received 30 October 1997; accepted in final form 7 August 1998.
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In: Gas Mixing and Distribution in the Lung, edited by L. A. Engel,
and M. Paiva. New York: Dekker, 1985, vol. 25, p. 63-136.
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