Barriers and Challenges to Implementing Whole Blood Transfusion Protocols in Civilian Hospitals: A Systematic Review and Meta-Analysis.
Thamer NouhMishary ShalhoubAhmed AlburakanNawaf AlshahwanLama AlzelfawiEbtesam H AlmajedZeena AlhindawiRawan Bin SalamahWijdan AlMutiriEbtisam AlruwailiAbdulelah AlhawasNourah AlmutairiHassan MashbariPublished in: Journal of clinical medicine (2024)
Background: Whole blood is a product that contains all three blood components (plasma, red blood cells, and platelets). This systemic review and meta-analysis was conducted to identify barriers and obstacles to establishing whole blood transfusion protocols in civilian hospitals. Methods: The study was conducted using PRISMA guidelines with PROSPERO registration No. CRD42024519898. Traumatic patients who needed or received whole blood transfusion were included. A systematic literature review employed a comprehensive search strategy through the PubMed, Google Scholar, Web of Science, ScienceDirect, and ProQuest databases. Meta-analysis was utilized to analyze the outcomes. The risk of bias was assessed using the Newcastle-Ottawa Scale. Results: In total, 310 studies were identified, and 11 studies met the inclusion criteria. The following intervals were used to assess the prevalence of mortality: 6 h 12.15% (0.081, 95% CI [0.023, 0.139]), 24 h 14.08% (0.141, 95% CI [0.111, 0.171]), delayed mortality (28-30 days) 22.89% (0.284, 95% CI [0.207, 0.360]), and in-hospital 18.72%, with relative risk (0.176, 95% CI [0.114,0.238]). Conclusions: Traumatic patients can be effectively resuscitated and stabilized with whole blood transfusion (WBT), but it is essential to provide ongoing critical care, address logistical challenges, and prevent blood product wastage. We recommend utilizing WBT in the early stages of resuscitation for adult civilian trauma patients.
Keyphrases
- red blood cell
- cardiac arrest
- trauma patients
- case control
- systematic review
- spinal cord injury
- end stage renal disease
- healthcare
- risk factors
- cardiovascular events
- newly diagnosed
- chronic kidney disease
- ejection fraction
- meta analyses
- peritoneal dialysis
- type diabetes
- cardiopulmonary resuscitation
- metabolic syndrome
- prognostic factors
- tyrosine kinase
- cardiovascular disease
- big data
- randomized controlled trial
- patient reported outcomes
- skeletal muscle
- deep learning
- drug induced
- electronic health record
- glycemic control