Evidence map›Paper›PMID 40511638›Full record

ArticleJournal of clinical apheresis2025

Performance of Total Blood Volume Algorithms in Obesity and Severe Obesity.

Caitlin Raymond, Ninet Sinaii, Kamille West-Mitchell

Abstract read
In one paragraph

Article in Journal of clinical apheresis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Caitlin RaymondDepartment of Transfusion Medicine, National Institutes of Health Clinical Center, Bethesda, Maryland, USA.
Ninet SinaiiBiostatistics and Clinical Epidemiology Service, National Institutes of Health Clinical Center, Bethesda, Maryland, USA.
Kamille West-MitchellDepartment of Transfusion Medicine, National Institutes of Health Clinical Center, Bethesda, Maryland, USA.

Funding

Intramural NIH HHS Z99 CL999999NIH Clinical Center Projects Z99 CL999999NIH HHS
6 · The paper itself

Abstract

Amid the ongoing obesity epidemic, the estimation of total blood volume (TBV) in obese people remains hotly contested without common agreement among apheresis practitioners. We compare the results of estimated TBV from different formulas across a spectrum of obese BMIs from a cohort of 155 individual patients. We also plot the difference between the resulting TBVs, assigning a threshold of functional significance of 500 mL, at which the choice of formula might make an impact on patient care. We compare the mean TBV estimated in non-severe versus severe obesity for all the above algorithms and determine the impact of algorithm choice on various apheresis procedures. The choice of algorithm has a significant impact on apheresis procedures; for example, we found differences of up to ~3-4 plasma units for a therapeutic plasma exchange depending on the choice of algorithm applied. We additionally find that algorithm performance varies widely in both men and women, particularly in morbid obesity, and often produces values that fall outside an empirically chosen expected range. We do not find a clinically significant difference in mean estimated TBV between non-severe and severe obesity in any algorithm tested, suggesting that physiological changes in obesity may fail to be captured by these algorithms. We hope these results are useful to other apheresis practitioners and help them make an informed choice of algorithm to estimate TBV in their obese patients. However, our current algorithms for estimating TBV may be flawed, and the field may wish to move toward measurement of TBV using recently available commercial options.

Indexed as

AlgorithmsBlood Component RemovalBlood VolumeObesityObesity, MorbidAdultBody Mass IndexFemaleHumansMaleMiddle Agedalgorithmsapheresisobesityphysiologysevere obesitytotal blood volume

Identifiers

PMID40511638
PMCPMC12163972

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.