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However, overall the most common adverse incidents are caused by errors, resulting in the transfusion of an incorrect component or one that does not meet the specific requirements of the patient (e.g. not irradiated or not appropriately antigen matched).
'Near miss' events are defined as any error, which if undetected, could result in the determination of a wrong blood group or transfusion of an incorrect component, but was recognized before the transfusion took place.
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These include errors in soft-tissue balancing, component malpositioning, and incorrect component sizing [6, 8].
Finally, surgery-related factors represent the most common cause of stiffness; they include errors in soft-tissue balancing, component malpositioning, and incorrect component sizing.
This resulted in 95 assembly corrections, pertaining to re-finishing incorrect component sequences to address deletions and insertions of several kB in length, the removal, addition or exchange of individual components, and the change of component order.
Carrico also conducted simulation studies using LASSO to detect the bad actors and found it tends to identify the correct bad actors but generally identifies incorrect components with high probability.
A curator failed to connect the two facts and assigned an incorrect GO term for cellular component.
This suggests that the limitation of the system probably resides in an incorrect estimation of the resistive component of the cardiovascular system.
However, all the components show an incorrect orientation that leads to a large RMS error of ∼28 Å.
Results showed that omission of one of the random effects leads to an incorrect decomposition of the other components.
The system encourages reporting of near-miss events, where the patient is protected from receiving an unsuitable or incorrect blood component due to a planned or unplanned recovery step.
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