Joint effects of risk factors on adverse events associated with adult blood donations.

Hsuan-Hui Wang, Po-Ming Chen, Chi-Ling Lin, Rong-Chiou Jau, Sheng-Mou Hsiao, Jiunn-Liang Ko
Author Information
  1. Hsuan-Hui Wang: Institute of Medicine, Chung Shan Medical University, Taichung.
  2. Po-Ming Chen: Institute of Medicine, Chung Shan Medical University, Taichung.
  3. Chi-Ling Lin: Taichung Blood Center, Taiwan Blood Services Foundation.
  4. Rong-Chiou Jau: Taichung Blood Center, Taiwan Blood Services Foundation.
  5. Sheng-Mou Hsiao: Department of Obstetrics and Gynecology, Far Eastern Memorial Hospital, New Taipei.
  6. Jiunn-Liang Ko: Institute of Medicine, Chung Shan Medical University, Taichung.

Abstract

The process for blood donation is considered safe, but some adverse events have been reported. Risk factors for adverse events were assessed in this study.A retrospective case-control study was conducted to investigate the risk factors for adverse events after blood donation between 2010 and 2013. Variables such as gender, age, body mass index (BMI), donation status, donation volume, donation site, pre-donation systolic blood pressure (SBP), and pre-donation diastolic blood pressure were compared between donors with and without adverse events. Multiple logistic regression analysis was performed to assess the joint effects of age, gender, and donation status on adverse events.The incidence of adverse events among adult blood donations was 1287/1,253,678 (0.1%). On multivariate logistic regression analysis, blood donors aged <35 years (odds ratio [OR], 2.99, 95% confidence interval [CI], 2.57-3.48), of female gender (OR, 3.30, 95% CI, 2.62-4.15), and with first-time donor status (OR, 6.40, 95% CI, 5.17-7.93), donation of 500 mL (OR, 2.22, 95% CI, 1.83-2.69), predonation SBP <124 mm Hg (OR, 1.25, 95% CI,1.05-1.48) and BMI <24 kg/m (OR, 1.67, 95% CI, 1.42-1.96) were associated with increased likelihood of adverse event. Further analysis with joint effects method revealed that first-time female donors aged <35 years are associated with the highest odds of adverse events when compared with repeat male donors aged ≧35 years (OR, 100.57, 95% CI, 48.45-208.75).The findings of our study should prove useful in identifying donors at risk and planning appropriate strategies for the prevention of adverse effects.

References

  1. PLoS One. 2017 Jul 21;12(7):e0179831 [PMID: 28732090]
  2. Transfusion. 2016 Jun;56(6 Pt 2):1654-61 [PMID: 26919164]
  3. Transfus Apher Sci. 2013 Oct;49(2):278-84 [PMID: 23820434]
  4. Transfusion. 2012 Feb;52(2):375-80 [PMID: 21848969]
  5. Transfusion. 2013 Feb;53(2):315-21 [PMID: 22670781]
  6. Blood Transfus. 2010 Jan;8(1):49-62 [PMID: 20104279]
  7. Transfusion. 2012 May;52(5):1070-8 [PMID: 22073941]
  8. Physiol Rep. 2015 Nov;3(11): [PMID: 26564059]
  9. PLoS One. 2016 Feb 19;11(2):e0148854 [PMID: 26894814]
  10. Vox Sang. 2016 Oct;111(3):257-265 [PMID: 27232998]
  11. Transfus Apher Sci. 2015 Aug;53(1):76-81 [PMID: 25824704]
  12. Transfus Apher Sci. 2012 Dec;47(3):319-25 [PMID: 22647682]
  13. Vox Sang. 2011 Nov;101(4):303-12 [PMID: 21535440]
  14. Transfusion. 2012 Jan;52(1):118-26 [PMID: 21682732]
  15. Biol Psychol. 2015 Jan;104:28-34 [PMID: 25451384]
  16. Heart Rhythm. 2015 Jun;12(6):e41-63 [PMID: 25980576]
  17. J Anxiety Disord. 2010 Dec;24(8):941-5 [PMID: 20667690]
  18. Transfus Med Hemother. 2010 Jun;37(3):155-159 [PMID: 20737019]
  19. Transfusion. 2016 Oct;56(10):2412-2421 [PMID: 27453037]
  20. Comput Biol Med. 2019 Jan;104:139-148 [PMID: 30472496]
  21. J Anxiety Disord. 2015 Apr;31:43-8 [PMID: 25728015]
  22. Transfus Med. 2019 Apr;29 Suppl 1:13-22 [PMID: 29148259]
  23. Transfusion. 2018 Jan;58(1):113-120 [PMID: 29076173]
  24. Transfusion. 2019 Sep;59(9):2870-2875 [PMID: 31267576]
  25. JAMA. 2008 May 21;299(19):2279-86 [PMID: 18492969]
  26. Transfusion. 2018 Oct;58(10):2352-2359 [PMID: 30222861]
  27. Transfusion. 2012 Dec;52(12):2570-6 [PMID: 22536827]
  28. Transfusion. 2010 Jun;50(6):1265-75 [PMID: 20113451]
  29. Transfusion. 2017 Oct;57(10):2449-2457 [PMID: 28833215]

MeSH Term

Adult
Aged
Blood Component Removal
Blood Donors
Blood Pressure
Body Mass Index
Case-Control Studies
Female
Humans
Incidence
Logistic Models
Male
Middle Aged
Odds Ratio
Retrospective Studies
Risk Factors
Young Adult

Word Cloud

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