Literature DB >> 34177423

Population-Based Analysis of the Impact of Demographics on the Current and Future Blood Supply in the Saarland.

Hermann Eichler1, Anna Katharina Feyer1, Kerstin Weitmann2, Wolfgang Hoffmann2, Olaf Henseler3, Andreas Opitz4, Alexander Patek5, Detlef Nikolaus Hans6, Linda Schönborn7, Andreas Greinacher7.   

Abstract

BACKGROUND: The federal state of Saarland (SL) is experiencing the fastest demographic change in the western part of Germany. In this study, we analyzed retrospective data on the current and future supply of red blood cell concentrates (RBC) in this region and compared it to the current and future RBC demand in SL hospitals.
METHODS: The projection of the SL blood supply in 2030 was modeled based on SL demographics for age distribution and donation frequency of donors, and the RBC transfusion data for in-house patients. These results were compared to published data on the transfusion demand from the state of Mecklenburg-Western Pomerania (MV).
RESULTS: For the period January 1 to December 31, 2017, a total of 43,205 whole blood donations were collected. The donation frequency in SL never exceeded 80 per 1,000 inhabitants and was well below the numbers in MV. Thirty-one percent of the donors were responsible for 53.5% of the donations, and donors older than 45 years of age contributed highly to the total blood supply. In addition, 40,614 RBC transfusions at 10 SL hospitals were analyzed representing nearly all RBC transfusions for in-house patients in this region. RBC transfusions per 1,000 inhabitants increased with age from 24 (50-54) to 140 (80-84) years. Facing an already existing structural deficit of nearly 8,200 RBC in 2017, the projection predicts a dramatic increase in the regional deficit to >18,300 RBC in 2030.
CONCLUSION: Our results on RBC demand in SL are comparable but not identical to those projected for the region of MV in eastern Germany. Due to the ongoing demographic changes in Germany as a whole, regular regional monitoring of RBC demand and the age structure of blood recipients and donors should be implemented to allow for better strategic planning in blood transfusion services and hospitals.
Copyright © 2020 by S. Karger AG, Basel.

Entities:  

Keywords:  Blood supply; Demographic change; Red blood cell units

Year:  2020        PMID: 34177423      PMCID: PMC8215953          DOI: 10.1159/000512645

Source DB:  PubMed          Journal:  Transfus Med Hemother        ISSN: 1660-3796            Impact factor:   3.747


  25 in total

1.  Blood collection and transfusion in the United States in 2001.

Authors:  Marian T Sullivan; Russell Cotten; Elizabeth J Read; Edward L Wallace
Journal:  Transfusion       Date:  2007-03       Impact factor: 3.157

2.  Blood donors in Iceland: a nationwide population-based study from 2005 to 2013.

Authors:  Vigdís Jóhannsdóttir; Sveinn Gudmundsson; Eðvald Möller; Thor Aspelund; Helga Zoëga
Journal:  Transfusion       Date:  2016-02-25       Impact factor: 3.157

3.  The PROTON study: profiles of blood product transfusion recipients in the Netherlands.

Authors:  B A Borkent-Raven; M P Janssen; C L van der Poel; W P Schaasberg; G J Bonsel; B A van Hout
Journal:  Vox Sang       Date:  2010-02-24       Impact factor: 2.144

4.  Forecasting Ontario's blood supply and demand.

Authors:  Adam Drackley; K Bruce Newbold; Antonio Paez; Nancy Heddle
Journal:  Transfusion       Date:  2011-08-02       Impact factor: 3.157

5.  Predicting future blood supply and demand in Japan with a Markov model: application to the sex- and age-specific probability of blood donation.

Authors:  Tomoyuki Akita; Junko Tanaka; Masayuki Ohisa; Aya Sugiyama; Kazuo Nishida; Shingo Inoue; Takuma Shirasaka
Journal:  Transfusion       Date:  2016-09-05       Impact factor: 3.157

6.  The epidemiology of red cell transfusion.

Authors:  P J Barr; M Donnelly; K Morris; M Parker; C Cardwell; K E M Bailie
Journal:  Vox Sang       Date:  2010-10       Impact factor: 2.144

Review 7.  Blood safety and availability: continuing challenges in China's blood banking system.

Authors:  Ling Shi; Jing-Xing Wang; Lori Stevens; Paul Ness; Hua Shan
Journal:  Transfusion       Date:  2013-05-27       Impact factor: 3.157

8.  Blood donor satisfaction and intention of future donation.

Authors:  Dorothy D Nguyen; Deborah A Devita; Nora V Hirschler; Edward L Murphy
Journal:  Transfusion       Date:  2008-01-08       Impact factor: 3.157

9.  One-year period prevalence of blood transfusion.

Authors:  J T Madsen; M L Kimper-Karl; U Sprogøe; J Georgsen; K Titlestad
Journal:  Transfus Med       Date:  2009-11-11       Impact factor: 2.019

10.  Efficiency and safety of varying the frequency of whole blood donation (INTERVAL): a randomised trial of 45 000 donors.

Authors:  Emanuele Di Angelantonio; Simon G Thompson; Stephen Kaptoge; Carmel Moore; Matthew Walker; Jane Armitage; Willem H Ouwehand; David J Roberts; John Danesh
Journal:  Lancet       Date:  2017-09-21       Impact factor: 79.321

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  1 in total

1.  Prediction of Red Blood Cell Demand for Pediatric Patients Using a Time-Series Model: A Single-Center Study in China.

Authors:  Kai Guo; Shanshan Song; Lijuan Qiu; Xiaohuan Wang; Shuxuan Ma
Journal:  Front Med (Lausanne)       Date:  2022-05-19
  1 in total

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