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Blood Volume Analysis Can Distinguish True Anemia from Hemo Blood Volume Analysis Can Distinguish True Anemia from Hemo

Blood Volume Analysis Can Distinguish True Anemia from Hemo - PowerPoint Presentation

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Blood Volume Analysis Can Distinguish True Anemia from Hemo - PPT Presentation

PY Van MD SD Cho MD SJ Underwood MS GJ Hamilton BS LB Ham MD MA Schreiber MD Background Hemorrhage leading cause of preventable death in trauma victims Decreased peripheral hematocrit pHct used as marker for blood loss ID: 321704

blood volume phct analysis volume blood analysis phct ideal tracer rbcv status fluid tbv sample unknown nhct hypervolemic patients

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Slide1

Blood Volume Analysis Can Distinguish True Anemia from Hemodilution in Critically Ill Trauma Patients

PY Van, MD ∙ SD Cho, MD

SJ Underwood, MS

GJ Hamilton, BS ∙ LB Ham, MD ∙ MA Schreiber, MDSlide2

Background

Hemorrhage leading cause of preventable death in trauma victims

Decreased peripheral hematocrit (pHct) used as marker for blood loss

pHct may not represent true red blood cell volume (RBCV)Slide3

BackgroundSlide4

Background

Surrogate measures to deduce volume status

Vital signs and physical exam

Laboratory tests

Invasive monitoring

Experienced clinicians frequently wrong

51% concordance with blood volume analysis

Androne, AS et al. Am J Cardiol 2004Slide5

Blood Volume Analysis

Indicator dilution principle

Known quantity of tracer injected into unknown volume (intravascular space)

After equilibration of tracer, plasma sampled

Concentration of tracer in sample is measured

Unknown volume is inversely proportional to concentration of tracer in the sample volume

Larger the unknown volume, more dilute the tracerSlide6

Concentration of tracer injected

Volume of sample withdrawn

Conc. tracer in sample withdrawn

Unknown volume (plasma volume)

Indicator Dilution Principle

C

1

V

1

C

2

V

2

=Slide7

Blood Volume Analysis

Single injection

radiolabeled

131

I-albumin.

Serial blood samples drawn over 40 minutesAnalysis yields actual and ideal TBV, RBCV, PVSlide8

Blood Volume Analysis

pHct

RBCV

RBCV

=

+

PV

TBV = RBCV + PVSlide9

Blood Volume Analysis

Normalized hematocrit (nHct)

pHct is adjusted for volume derangement:

nHct =

pHct

x

Measured TB

V

Ideal TBVSlide10

Blood Volume Analysis

Ideal volumes determination

Based on math model from Metropolitan Life height and weight tables ( > 100,000 data points)

Blood volume dependent on body composition

Weight and body surface areas alone not adequate

Lean

vs fat tissue proportions

Feldschuh J et al. Circulation. 1977Slide11

Hypothesis

Use of pHct alone in critically ill trauma patients will result in over-diagnosis of anemiaSlide12

Methods

Trauma ICU pts recruited 24hrs post admission

Baseline blood sample

Injection of 1mL 25 µ

Ci

of

131I-albumin12 minute equilibration periodThen 5 serial blood draws, 6 minutes apartSamples processed on BVA-100 Blood Volume Analyzer (Daxor Corporation, NY, NY)Slide13

Methods

Measured volumes compared to ideal -- percent deviation from ideal calculatedSlide14

Methods

Pts stratified into 3 groups based on deviation from ideal total blood volume

Hypovolemic:

> 8% deficit relative to ideal

Normovolemic:

< 8% variation relative to ideal

Hypervolemic:

> 8% excess relative to ideal Slide15

Characteristics

Patients (n =

27)

Male / Female

13 / 14

Age

49.6 ± 3.8

Body

Mass Index29.3 ± 6.2APACHE II17.9 ± 1.5

Injury Severity Score29.8 ± 2.5

All values are mean ± standard deviationSlide16

ResultsSlide17

Volume Status and Fluids

Hypovolemic

(n

= 12)

Normovolemic

(n =19)

Hypervolemic

(n = 33)

Fluid In (mL)17,881(10065, 41396)

30,306(14752, 52026)22,016

(18100,

33397

)

Net Fluid (mL)

13,579

(4702, 18708)

2,799

(1969, 15861)

11,807

(6924, 17373)

All values are medians (interquartile range)

All

p

= NS, Mann-Whitney U test

No significant difference in volume of fluids given or net fluid balance between each volume statusSlide18

Results

No linear correlation between net fluid balance and changes in TBV, RBCV, and PV between each analysis

Moderate linear correlation between pHct and RBCV (R

2

= 0.3)Slide19

Results

No differences in ISS when compared across the volume status groups

No correlation between ISS and rate of albumin transudationSlide20

pHct versus nHct

pHct

nHct

Difference

pHct

< 30

nHct < 30

Overdiagnosis

of anemiaHypovolemic(n=12)

26.120.9*

5.2 ± 3.3

91.7%

(11)

91.7%

(11)

--

Normovolemic

(n=20)

27.1

27.1

0.0

± 1.2

80.0%

(16)

80.0%

(16)--

Hypervolemic(n=33)26.5

32.9*

-6.4 ± 4.4

81.8%

(27)

27.3%

(9)

54.5%

(18)

All

(n=65)

26.6

28.9

-2.3 ± 5.7

83.1%

(54)

55.4%

(36)

27.7%

(18)

Paired t-test

*

p

< 0.05

Chi-squared

p

< 0.05Slide21

Conclusions

Assessing volume status is challenging

No differences in amount of fluids administered to volume status groups

pHct compared to nHct

Overestimates anemia in hypervolemic pts

Underestimates anemia in hypovolemic ptsSlide22

Limitations

Preliminary study -- small number of patients

BVA not a dynamic test – snapshot in time

Assume RBCV constant during testing

Not reasonable if bleeding > 100mL/hr

Availability of tracer and personnel Slide23

Future Directions

Further characterize effects of fluid and blood product administration on volume status

Blood volume analysis upon ICU admission

Establish baseline

Initiate therapies based on blood volumes

Avoid unnecessary CT scans and transfusion when BVA shows low pHct due to

hemodilutionSlide24

Acknowledgements

Martin Schreiber, MD

S David Cho, MD

Samantha Underwood, MS

Richard Loftus, Daxor Corporation

OHSU Nuclear MedicineSlide25
Slide26

Blood Volume Analysis