Evidence map›Paper›PMID 25371300›Full record

ArticleTransfusion2015

Transfusion-related adverse reactions reported to the National Healthcare Safety Network Hemovigilance Module, United States, 2010 to 2012.

Alexis R Harvey, Sridhar V Basavaraju, Koo-Whang Chung, Matthew J Kuehnert

Open access · greenAbstract read
In one paragraph

Article in Transfusion, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 2 pooled it
6.8field-weighted citation impact, top 2% 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

54 citing papers in PubMed, 2 syntheses or guidelines pooled it, 141 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Review
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  6. Review
  7. Article
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  12. Article
  13. Incomplete tissue product tracing during an investigation of a tissue-derived tuberculosis outbreak.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2024
    Article
  14. Article
  15. Article
  16. Transfusion practices in intensive care units: An Australian and New Zealand point prevalence study.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2023
    Article
  17. Article
  18. Review
  19. Severe Acute Hemolytic Transfusion Reaction Treated with Ruxolitinib and Plasma Exchange.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2021
    Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Alexis R HarveyOffice of Blood, Organ and Other Tissue Safety, Division of Healthcare Quality Promotion, National Center for Emerging, Zoonotic, and Infectious Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia.
Sridhar V BasavarajuOffice of Blood, Organ and Other Tissue Safety, Division of Healthcare Quality Promotion, National Center for Emerging, Zoonotic, and Infectious Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia.
Koo-Whang ChungOffice of Blood, Organ and Other Tissue Safety, Division of Healthcare Quality Promotion, National Center for Emerging, Zoonotic, and Infectious Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia.
Matthew J KuehnertOffice of Blood, Organ and Other Tissue Safety, Division of Healthcare Quality Promotion, National Center for Emerging, Zoonotic, and Infectious Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia.
National Center for Emerging and Zoonotic Infectious Diseases · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundIn 2010, health care facilities in the United States began voluntary enrollment in the National Healthcare Safety Network (NHSN) Hemovigilance Module. Participants report transfusion practices; red blood cell, platelet (PLT), plasma, and cryoprecipitate units transfused; and transfusion-related adverse reactions and process errors to the Centers for Disease Control and Prevention through a secure, Internet-accessible surveillance application available to transfusing facilities. STUDY DESIGN AND

methodsFacilities submitting at least 1 month of transfused components data and adverse reactions from January 1, 2010, to December 31, 2012, were included in this analysis. Adverse reaction rates for transfused components, stratified by component type and collection and modification methods, were calculated.

resultsIn 2010 to 2012, a total of 77 facilities reported 5136 adverse reactions among 2,144,723 components transfused (239.5/100,000). Allergic (46.8%) and febrile nonhemolytic (36.1%) reactions were most frequent; 7.2% of all reactions were severe or life-threatening and 0.1% were fatal. PLT transfusions (421.7/100,000) had the highest adverse reaction rate.

conclusionAdverse transfusion reaction rates from the NHSN Hemovigilance Module in the United States are comparable to early hemovigilance reporting from other countries. Although severe reactions are infrequent, the numbers of transfusion reactions in US hospitals suggest that interventions to prevent these reactions are important for patient safety. Further investigation is needed to understand the apparent increased risk of reactions from apheresis-derived blood components. Comprehensive evaluation, including data validation, is important to continued refinement of the module.

Indexed as

Blood SafetyTransfusion ReactionAcute Lung InjuryBlood Component TransfusionBlood TransfusionCenters for Disease Control and Prevention, U.S.Communicable DiseasesData CollectionHumansLeukocyte Reduction ProceduresRetrospective StudiesUnited States

Identifiers

PMID25371300
PMCPMC7879051
OpenAlexW1694352266

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.