Literature DB >> 33309539

Blood transfusion trends by disease category in the United States, 2000 to 2014.

Nicholas Roberts1, Spencer L James2, Meghan Delaney3, Christina Fitzmaurice4.   

Abstract

BACKGROUND: Better understanding of blood usage rates could identify trends in transfusion practices over time and inform more efficient management.
METHODS: Inpatient admissions from the Healthcare Cost and Utilization Project National Inpatient Sample and State Inpatient Databases were analyzed for packed red blood cell (PRBC), plasma, platelet, and whole blood (WB) transfusions. The transfusion rates per admission and per prevalent case were calculated. Prevalence estimates were from the Global Burden of Disease 2017 study (GBD).
RESULTS: From 2000 to 2014, blood usage rates for most causes peaked around 2010. Across all causes, PRBC were the most commonly transfused component, followed by plasma, platelets, and WB. However, the relative use of each type varied by cause. Nutritional deficiencies (1.75 blood product units across all components per admission; 95 % uncertainty interval (UI) 1.62-1.87), neoplasms (0.95; 0.87-1.04), and injuries (0.92; 0.86 - 0.98) had the greatest blood use per admission. Cardiovascular diseases (96.9 units per 1000 prevalent cases; 89.3-105.0) and neoplasms (92.7 units per 1000 prevalent cases; 84.3-101.5) had the greatest blood use per prevalent case. Across all admissions, over three million blood units were saved in 2014 compared to 2011 due to transfusing at a reduced rate.
CONCLUSIONS: Blood transfusion rates decreased from 2011 to 2014 in the United States. This decline occurred in most disease categories, which points towards broad strategies like patient blood management systems and disease specific improvements like changes in surgical techniques being effective.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Anemia; Blood management; Neoplasms; Plasma; Platelets

Mesh:

Year:  2020        PMID: 33309539      PMCID: PMC7987725          DOI: 10.1016/j.transci.2020.103012

Source DB:  PubMed          Journal:  Transfus Apher Sci        ISSN: 1473-0502            Impact factor:   1.764


  36 in total

1.  Association of blood transfusion with increased mortality in myocardial infarction: a meta-analysis and diversity-adjusted study sequential analysis.

Authors:  Saurav Chatterjee; Jørn Wetterslev; Abhishek Sharma; Edgar Lichstein; Debabrata Mukherjee
Journal:  JAMA Intern Med       Date:  2013-01-28       Impact factor: 21.873

2.  Trends in Red Blood Cell, Plasma, and Platelet Transfusions in the United States, 1993-2014.

Authors:  Ruchika Goel; Meera R Chappidi; Eshan U Patel; Paul M Ness; Melissa M Cushing; Steven M Frank; Aaron A R Tobian
Journal:  JAMA       Date:  2018-02-27       Impact factor: 56.272

3.  Efficacy of tranexamic acid in pediatric craniosynostosis surgery: a double-blind, placebo-controlled trial.

Authors:  Susan M Goobie; Petra M Meier; Luis M Pereira; Francis X McGowan; Randy P Prescilla; Laurie A Scharp; Gary F Rogers; Mark R Proctor; John G Meara; Sulpicio G Soriano; David Zurakowski; Navil F Sethna
Journal:  Anesthesiology       Date:  2011-04       Impact factor: 7.892

4.  A multicenter study of plasma use in the United States.

Authors:  Darrell Triulzi; Jerome Gottschall; Edward Murphy; Yanyun Wu; Paul Ness; Daryl Kor; Nareg Roubinian; Debra Fleischmann; Dhuly Chowdhury; Donald Brambilla
Journal:  Transfusion       Date:  2014-12-19       Impact factor: 3.157

5.  Comparison of ICD-9-based, retrospective, and prospective assessments of perioperative complications: assessment of accuracy in reporting.

Authors:  Peter G Campbell; Jennifer Malone; Sanjay Yadla; Rohan Chitale; Rani Nasser; Mitchell G Maltenfort; Alex Vaccaro; John K Ratliff
Journal:  J Neurosurg Spine       Date:  2010-12-10

Review 6.  Red blood cell transfusion: a clinical practice guideline from the AABB*.

Authors:  Jeffrey L Carson; Brenda J Grossman; Steven Kleinman; Alan T Tinmouth; Marisa B Marques; Mark K Fung; John B Holcomb; Orieji Illoh; Lewis J Kaplan; Louis M Katz; Sunil V Rao; John D Roback; Aryeh Shander; Aaron A R Tobian; Robert Weinstein; Lisa Grace Swinton McLaughlin; Benjamin Djulbegovic
Journal:  Ann Intern Med       Date:  2012-07-03       Impact factor: 25.391

7.  Liberal versus restrictive transfusion thresholds for patients with symptomatic coronary artery disease.

Authors:  Jeffrey L Carson; Maria Mori Brooks; J Dawn Abbott; Bernard Chaitman; Sheryl F Kelsey; Darrell J Triulzi; Vankeepuram Srinivas; Mark A Menegus; Oscar C Marroquin; Sunil V Rao; Helaine Noveck; Elizabeth Passano; Regina M Hardison; Thomas Smitherman; Tudor Vagaonescu; Neil J Wimmer; David O Williams
Journal:  Am Heart J       Date:  2013-04-08       Impact factor: 4.749

8.  Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017.

Authors: 
Journal:  Lancet       Date:  2018-11-08       Impact factor: 79.321

Review 9.  Effect of tranexamic acid on surgical bleeding: systematic review and cumulative meta-analysis.

Authors:  Katharine Ker; Phil Edwards; Pablo Perel; Haleema Shakur; Ian Roberts
Journal:  BMJ       Date:  2012-05-17

10.  Effects of the COVID-19 pandemic on supply and use of blood for transfusion.

Authors:  Simon J Stanworth; Helen V New; Torunn O Apelseth; Susan Brunskill; Rebecca Cardigan; Carolyn Doree; Marc Germain; Mindy Goldman; Edwin Massey; Daniele Prati; Nadine Shehata; Cynthia So-Osman; Jecko Thachil
Journal:  Lancet Haematol       Date:  2020-07-03       Impact factor: 18.959

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.