Determining Prosthesis-Patient Mismatch after TAVR: Which is the Best Method?Authors: Cesar E. Mendoza, MD1 and Diego Celli, MD2Affiliations: 1Division of Cardiovascular Disease, Jackson Memorial Hospital, Miami, Florida;2Internal Medicine, University of Miami Miller School of Medicine/Jackson Memorial Hospital, Miami, Florida.Affiliation addresses: 11801 NW 9th Ave, Suite #209 33136 Miami, Florida, United States; 21611 NW 12th Ave 33136, Miami, Florida, United States.Corresponding author: Cesar E. Mendoza, MD; cesar.mendoza2@jhsmiami.org; 1611 NW 12th Ave, East Tower 3019, Miami, Florida 33136.Disclosures: Authors have no relationships with the industry. This work is not under consideration in any other journal.Funding: No grants, contracts, and other forms of financial support were used to perform this manuscript.In the last decade, the medical community has witnessed an accelerated development of multiple devices for the transcatheter management of aortic stenosis. Recently, transaortic valve replacement (TAVR) was granted approval for its use in all types of surgical risk patients underscoring its importance in cardiovascular practice. While evidence has shown non-inferiority of TAVR versus surgical aortic valve replacement (SAVR) [1], it still has inherent intra- and post-procedural complications, prosthesis-patient mismatch (PPM) is one of them.Since the seminal work published by Rahimtoola in 1978 [2], several studies have investigated PPM. The incidence of PPM after SAVR ranges from 20% to 50% with severe cases having an occurrence rate from 5% to 25%. [3-5]. Severe PPM has been associated with significantly abnormal prosthetic valve echocardiographic parameters and adverse clinical outcomes including a higher risk of mortality [3,5-7]. Although initial studies showed a lower incidence of PPM after TAVR [8, 9], most recent data surprisingly depict an uptrend incidence of PPM with later-generation TAVR prostheses [10]. Regardless of the true global PPM incidence, the number of cases in the severe category remain within robust margins (5% - 36%). Perhaps, more interestingly, the association of TAVR with adverse outcomes is not firm. Indeed, there are conflicting reports, with some studies showing a weak association [11,12], no association [13, 14, 15], or association in particular group of patients [9].PPM occurs when the effective orifice area (EOA) of a normally functioning prosthesis is too small in relation to the patient’s body size and cardiac output requirements, and this diagnosis must be done after ruling out dysfunction of the prosthesis heart valve. Historically, surgical aortic valve replacement was the method of choice in the management of aortic stenosis; as such, surgeons relied on the manufacturer’s predicted EOA charts to aid in the determination of the minimum valve size for any given valve model. The predicted EOA index (EOAi), which is calculated by dividing the reference value for the prosthesis model and size by the body surface area (BSA) of the patient, has been frequently used to identify PPM in the SAVR studies. Similarly, all contemporary TAVR studies have used the same index for the same purpose; but it nevertheless was measured using Doppler-echocardiography data.In this issue of JOCS, Catalano et al report that the utility of EOAi charts to predict PPM after TAVR for native aortic stenosis may be limited. Indeed, they found in their study that the pre-TAVR prediction of PPM using tables of expected EOA varies significantly from actual PPM measured on intraoperative transesophageal echocardiography using the continuity equation. Although this is a relatively small single-center study, the authors provided information worthy of additional consideration.First, they identified that EOAi charts overestimated the number of patients with PPM for Sapien 3 valves (25.3% predicted versus 13.7% actual) and underestimated the number of patients with PPM for Evolut valves (1.8% predicted versus 11.6% actual), yielding a limited utility for this instrument on pre-operative prediction of PPM in TAVR. Interestingly, a recent publication by Ternacle et al. [16] provides a different perspective on this topic. It reports that the predicted EOAi was found to be useful to reclassify the majority of patients diagnosed with measured PPM following TAVR to no PPM at all. Furthermore, they found that both methods had a different association with hemodynamic outcomes. In this regard, EOAi and mean transprosthetic gradient had a more powerful correlation when using the predicted EOAi versus the measured EOAi. Based on these findings, the Ternacle’s study suggests that the use of measured EOAi grossly overestimates the incidence of PPM. The discrepancy between both studies may be explained by the inherent variability in using different Doppler echocardiography imaging modalities to measure EOA. As Catalano et al rightly pointed out, the prosthesis data acquisition and measurements obtained by intraoperative transesophageal echocardiography in their study may not be comparable with its counterpart transthoracic modality, and this particular difference should be taken into account when interpreting the results above mentioned.Second, it is also clear from Catalano’s study that determining the best method to diagnose PPM following TAVR is paramount, but at the same time troublesome due to several factors. First, the pressure recovery phenomenon, a portion of the transprosthetic pressure gradient lost initially at the vena contracta level that recovers later after the prosthetic valve, is not accounted for by Doppler assessment of the maximum transvalvular flow velocities. This may cause overdiagnosis of PPM after TAVR. Second, measured EOA is influenced by the patient’s hemodynamic condition at the time of the evaluation and by the known technical pitfalls on the acquisition of images and measurement performance. Third, the use of the EOA indexed for body surface area may overestimate the severity of PPM in obese patients (body mass index ≥30 kg/m2).Certainly, Catalano’s study allows for a better discussion on the diagnosis and clinical implications of PPM following TAVR. However, the question of what method is a more accurate parameter to determine PPM remains unanswered. Clearly, further research is needed as TAVR is more frequently performed and new TAVR prostheses become available. Accurate prediction of PPM in this setting will help guide the operator’s decision on proper prosthesis size and type.
