Evidence map›Paper›PMID 38515390›Full record

ArticleTransfusion2024

A novel measure to summarize blood transfusion practice during critical illness.

Nicholas A Bosch, Anica C Law, Zhan Shi, S Reza Jafarzadeh, Allan J Walkey

Abstract read
In one paragraph

Article in Transfusion, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Nicholas A BoschSection of Pulmonary, Allergy, Sleep & Critical Care Medicine, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA.ORCID 0000-0001-7161-5254
Anica C LawSection of Pulmonary, Allergy, Sleep & Critical Care Medicine, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA.
Zhan ShiSection of Pulmonary, Allergy, Sleep & Critical Care Medicine, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA.ORCID 0009-0004-5923-3965
S Reza JafarzadehSection of Rheumatology, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA.ORCID 0000-0002-1099-9175
Allan J WalkeyDivision of Health Systems Science, Department of Medicine, UMass Chan Medical School, Worcester, Massachusetts, USA.

Funding

Project-005UL1TR001430 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BAIR-MERRITT, MEGAN H, CENTER, DAVID M. · 2015 to 2024
$52.3M
Institutional Career DevelopmentKL2TR001411 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI MORONE, NATALIA E. · 2015 to 2024
$5.9M
Prolonged mechanical ventilation: patterns of post-acute care and patient outcomesK23HL153482 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI LAW, ANICA C · 2020 to 2024
$891k
NCATS NIH HHS 1KL2TR001411NCATS NIH HHS 1UL1TR001430NCATS NIH HHS KL2 TR001411NCATS NIH HHS UL1 TR001430NHLBI NIH HHS K23 HL153482
6 · The paper itself

Abstract

backgroundLarge-scale observational studies have summarized transfusion practice using traditional measures of central tendency (e.g., the mean hemoglobin concentration at the time of transfusion). However, the mean hemoglobin concentration fails to identify specific hemoglobin concentration thresholds that drive practice. In the following brief report, we propose a novel measure of "practice discontinuity" that identifies specific practice-defining hemoglobin thresholds. STUDY DESIGN AND

methodsWe used the PINC AI Database (2016-2022) to identify adult patients admitted to an intensive care unit with at least one hemoglobin concentration measurement. For each day that hemoglobin was measured, we identified whether the patient received a red blood cell transfusion using hospital charge codes. We defined the "practice discontinuity" measure as the hemoglobin concentration at which there was the largest increase in transfusion use going from a higher to an incrementally lower hemoglobin concentration. We also calculated the mean and median pretransfusion hemoglobin concentrations.

resultsWe identified 1,298,367 patients and 4,905,839 patient-days for inclusion. RBC transfusion occurred in a total of 530,654 (10.8%) patient-days. The overall pre-transfusion mean and median hemoglobin concentrations were 8.4 and 8.0 g/dL, respectively. The practice discontinuity measure identified 7.0 g/dL as the hemoglobin concentration at which transfusion use increased the most, from 46.6% of patient-days at a concentration of 7.0 g/dL to 74.8% of patient-days at a concentration of 6.9 g/dL. DISCUSSION: We propose that future studies of red blood cell transfusion practice consider inclusion of the practice discontinuity measure to more fully summarize clinical practice.

Indexed as

Critical IllnessErythrocyte TransfusionHemoglobinsAdultAgedBlood TransfusionDatabases, FactualFemaleHumansIntensive Care UnitsMaleMiddle AgedHemoglobinsclinical practice patternscritical illnesshemoglobintransfusion

Identifiers

PMID38515390
PMCPMC11088509

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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.