Intervening on the storage time of RBC units and its effects on adverse recipient outcomes using real-world data.
Peter Bruun-RasmussenPer Kragh AndersenKarina BanasikSoren BrunakPär Ingemar JohanssonPublished in: Blood (2022)
Randomized controlled trials (RCTs) have found no evidence that the storage time of transfused red blood cell (RBC) units affects recipient survival. However, inherent difficulties in conducting RBC transfusion RCTs have prompted critique of their design, analyses, and interpretation. Here, we address these issues by emulating hypothetical randomized trials using large real-world data to further clarify the adverse effects of storage time. We estimated the comparative effect of transfusing exclusively older vs fresher RBC units on the primary outcome of death, and the secondary composite end point of thromboembolic events, or death, using inverse probability weighting. Thresholds were defined as 1, 2, 3, and 4 weeks of storage. A large Danish blood transfusion database from the period 2008 to 2018 comprising >900 000 transfusion events defined the observational data. A total of 89 799 patients receiving >340 000 RBC transfusions during 28 days of follow-up met the eligibility criteria. Treatment with RBC units exclusively fresher than 1, 2, 3, and 4 weeks of storage was found to decrease the 28-day recipient mortality with 2.44 percentage points (pp) (0.86 pp, 4.02 pp), 1.93 pp (0.85 pp, 3.02 pp), 1.06 pp (-0.20 pp, 2.33 pp), and -0.26 pp (-1.78 pp, 1.25 pp) compared with transfusing exclusively older RBC units, respectively. The 28-day risk differences for the composite end point were similar. This study suggests that transfusing exclusively older RBC units stored for >1 or 2 weeks increases the 28-day recipient mortality and risk of thromboembolism or death compared with transfusing fresher RBC units.
Keyphrases
- red blood cell
- randomized controlled trial
- clinical trial
- cardiac surgery
- risk factors
- big data
- systematic review
- electronic health record
- machine learning
- cardiovascular events
- cross sectional
- coronary artery disease
- atrial fibrillation
- sickle cell disease
- artificial intelligence
- study protocol
- skeletal muscle
- community dwelling
- preterm birth
- breast cancer risk