Evidence map›Paper›PMID 35285900›Full record

Observational studyLaboratory medicine2022

Oncology Patients Who Develop Transfusion-Associated Circulatory Overload: An Observational Study.

Marisol Maldonado, Colleen E Villamin, Leah E Murphy, Amitava Dasgupta, Roland L Bassett, Mayrin Correa Medina, Tonita S Bates, Fernando Martinez, Adriana M Knopfelmacher Couchonal, Kimberly Klein and 1 more

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Laboratory medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 30% 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

0 citing papers in PubMed, 7 citations in OpenAlex.

No citing paper in PubMed yet.

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

11 authors at 1 institution in 1 country.

Marisol MaldonadoHemovigilance Unit, Department of Laboratory Medicine, Division of Pathology and Laboratory Medicine; The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0001-5563-8018
Colleen E VillaminHemovigilance Unit, Department of Laboratory Medicine, Division of Pathology and Laboratory Medicine; The University of Texas MD Anderson Cancer Center, Houston, Texas.
Leah E MurphyHemovigilance Unit, Department of Laboratory Medicine, Division of Pathology and Laboratory Medicine; The University of Texas MD Anderson Cancer Center, Houston, Texas.
Amitava DasguptaHemovigilance Unit, Department of Laboratory Medicine, Division of Pathology and Laboratory Medicine; The University of Texas MD Anderson Cancer Center, Houston, Texas.
Roland L BassettHemovigilance Unit, Department of Laboratory Medicine, Division of Pathology and Laboratory Medicine; The University of Texas MD Anderson Cancer Center, Houston, Texas.
Mayrin Correa MedinaHemovigilance Unit, Department of Laboratory Medicine, Division of Pathology and Laboratory Medicine; The University of Texas MD Anderson Cancer Center, Houston, Texas.
Tonita S BatesHemovigilance Unit, Department of Laboratory Medicine, Division of Pathology and Laboratory Medicine; The University of Texas MD Anderson Cancer Center, Houston, Texas.
Fernando MartinezHemovigilance Unit, Department of Laboratory Medicine, Division of Pathology and Laboratory Medicine; The University of Texas MD Anderson Cancer Center, Houston, Texas.
Adriana M Knopfelmacher CouchonalHemovigilance Unit, Department of Laboratory Medicine, Division of Pathology and Laboratory Medicine; The University of Texas MD Anderson Cancer Center, Houston, Texas.
Kimberly KleinHemovigilance Unit, Department of Laboratory Medicine, Division of Pathology and Laboratory Medicine; The University of Texas MD Anderson Cancer Center, Houston, Texas.
James M KelleyHemovigilance Unit, Department of Laboratory Medicine, Division of Pathology and Laboratory Medicine; The University of Texas MD Anderson Cancer Center, Houston, Texas.
The University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672NIH HHS P30 CA016672
6 · The paper itself

Abstract

backgroundTransfusion-associated circulatory overload (TACO) is a largely preventable transfusion complication that results in significant morbidity and mortality. Cancers, related treatments, and comorbidities are among the factors that can predispose patients to TACO, but currently there are limited data on this topic in the literature.

methodsWe collected data retrospectively from the electronic health records of 93 adult patients with cancer who met Centers for Disease Control and Prevention (CDC) criteria for TACO from July 1, 2019, through October 31, 2020. The parameters we studied included demographics, comorbidities, treatment modalities, transfusion practices, and outcomes. We summarized data by means and ranges for continuous variables, and proportions for categorical variables.

resultsDuring the study period, the incidence of TACO among oncology patients was 0.84 per 1000 transfusions (95% CI, 0.68-1.02), representing 6.6% of all reactions. This percentage is high, compared with 1%-6% among other populations. Unique characteristics such as hematology malignancy (75.3%), receipt of cardiotoxic chemotherapy (87.1%), pneumonia (57.0%), preexisting oxygen use (59.1%), dyspnea (62.4%), hypertension (55.9%), renal insufficiency (46.2%), daily use of corticosteroids (43.0%), daily use of diuretics (40.9%), daily use of beta-blockers (36.6%), and elevated NT-proBNP (33.3%) were frequently observed in these group of oncology patients.

conclusionsOur study indicates that oncology patients have unique factors that may lead to diagnosis of TACO. Developing appropriate guidelines that apply to oncology patients, in addition to those set forth by the CDC, should be considered. Implementation by ordering healthcare providers of a tools that can predict TACO can help in early recognition and mitigation of TACO.

Indexed as

NeoplasmsTransfusion ReactionAdultBlood TransfusionHumansIncidenceRetrospective Studiesblood transfusioncardio-toxic chemotherapyoncology patientsoutcomesrisk factorstransfusion-associated circulatory overload

Identifiers

PMID35285900
PMCPMC9251653
OpenAlexW4206149952

What OpenQuestion holds

Textmetadata
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.