Evidence map›Paper›PMID 28681482›Full record

ArticleTransfusion2017

Optimal hematocrit in an artificial microvascular network.

Nathaniel Z Piety, Walter H Reinhart, Julianne Stutz, Sergey S Shevkoplyas

Open access · greenAbstract read
In one paragraph

Article in Transfusion, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% of its field
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. [U-shaped association between hematocrit and resting pulse oxygen saturation in Tibetan plateau population].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. RBC Transfusion Triggers: Is There Anything New?Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2020
    Review
  12. Article
  13. Article
  14. Anaemia and malaria.Malaria journal · 2018
    Review
  15. Article
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

4 authors at 2 institutions in 2 countries.

Nathaniel Z PietyDepartment of Biomedical Engineering, Cullen College of Engineering, University of Houston, Houston, Texas.
Walter H ReinhartKantonsspital Graubünden, Chur, Switzerland.
Julianne StutzDepartment of Biomedical Engineering, Cullen College of Engineering, University of Houston, Houston, Texas.
Sergey S ShevkoplyasDepartment of Biomedical Engineering, Cullen College of Engineering, University of Houston, Houston, Texas.ORCID 0000-0002-8203-8365
University of Houston · USKantonsspital Graubünden · CH

Funding

Eliminating Mediators of Toxicity from Stored BloodR01HL117329 · NHLBI · UNIVERSITY OF HOUSTON · PI SHEVKOPLYAS, SERGEY S · 2012 to 2017
$1.9M
NHLBI NIH HHS R01 HL117329
6 · The paper itself

Abstract

backgroundHigher hematocrit increases the oxygen-carrying capacity of blood but also increases blood viscosity, thus decreasing blood flow through the microvasculature and reducing the oxygen delivery to tissues. Therefore, an optimal value of hematocrit that maximizes tissue oxygenation must exist. STUDY DESIGN AND

methodsWe used viscometry and an artificial microvascular network device to determine the optimal hematocrit in vitro. Suspensions of fresh red blood cells (RBCs) in plasma, normal saline, or a protein-containing buffer and suspensions of stored red blood cells (at Week 6 of standard hypothermic storage) in plasma with hematocrits ranging from 10 to 80% were evaluated.

resultsFor viscometry, optimal hematocrits were 10, 25.2, 31.9, 37.1, and 37.5% for fresh RBCs in plasma at shear rates of 3.2 or less, 11.0, 27.7, 69.5, and 128.5 inverse seconds. For the artificial microvascular network, optimal hematocrits were 51.1, 55.6, 59.2, 60.9, 62.3, and 64.6% for fresh RBCs in plasma and 46.4, 48.1, 54.8, 61.4, 65.7, and 66.5% for stored RBCs in plasma at pressures of 2.5, 5, 10, 20, 40, and 60 cm H

conclusionAlthough exact optimal hematocrit values may depend on specific microvascular architecture, our results suggest that the optimal hematocrit for oxygen delivery in the microvasculature depends on perfusion pressure. Therefore, anemia in chronic disorders may represent a beneficial physiological response to reduced perfusion pressure resulting from decreased heart function and/or vascular stenosis. Our results may help explain why a therapeutically increasing hematocrit in such conditions with RBC transfusion frequently leads to worse clinical outcomes.

Indexed as

HematocritModels, CardiovascularAnemiaBlood PressureBlood ViscosityHumansMicrovesselsOxygenOxygen ConsumptionOxygen

Identifiers

PMID28681482
PMCPMC5583001
OpenAlexW2725008611

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.