Failure mode and effects analysis of witnessing protocols for ensuring traceability during PGD/PGS cycles

Reprod Biomed Online. 2016 Sep;33(3):360-9. doi: 10.1016/j.rbmo.2016.06.002. Epub 2016 Jun 23.

Abstract

Preimplantation genetic diagnosis and aneuploidy testing (PGD/PGS) use is constantly growing in IVF, and embryo/biopsy traceability during the additional laboratory procedures needed is pivotal. An electronic witnessing system (EWS), which showed a significant value in decreasing mismatch occurrence and increasing detection possibilities during standard care IVF, still does not guarantee the same level of efficiency during PGD/PGS cycles. Specifically, EWS cannot follow single embryos throughout the procedure. This is however critical when an unambiguous diagnosis corresponds to each embryo. Failure Mode and Effects Analysis (FMEA) is a proactive method generally adopted to define tools ensuring safety along a procedure. Due to the implementation of a large quantitative PCR (qPCR)-based blastocyst stage PGD/PGS programme in our centre, and to evaluate the potential procedural risks, a FMEA was performed in September 2014. Forty-four failure modes were identified, among which six were given a moderate risk priority number (>15) (RPN; product of estimated occurrence, severity and detection). Specific corrective measures were then introduced and implemented, and a second evaluation performed six months later. The meticulous and careful application of such measures allowed the risks to be decreased along the whole protocol, by reducing their estimated occurrence and/or increasing detection possibilities.

Keywords: FMEA; PGD; misdiagnosis; mismatch; preimplantation genetic screening (PGS); traceability.

MeSH terms

  • Clinical Protocols
  • Embryo Culture Techniques / standards
  • Fertilization in Vitro
  • Humans
  • Patient Identification Systems
  • Preimplantation Diagnosis / methods
  • Preimplantation Diagnosis / standards*
  • Specimen Handling / methods
  • Specimen Handling / standards*
  • Workflow