Aortic prosthetic size predictor in aortic valve replacement

Autor: Anh Tuan Vo, Tomomi Nakajima, Trang Thi Thu Nguyen, Nguyen Thoi Hai Nguyen, Nga Bich Le, Tri Huu Cao, Dinh Hoang Nguyen
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Journal of Cardiothoracic Surgery, Vol 16, Iss 1, Pp 1-7 (2021)
Druh dokumentu: article
ISSN: 1749-8090
DOI: 10.1186/s13019-021-01601-z
Popis: Abstract Background Patient-prosthesis mismatch (PPM) is a major concern in aortic valve replacement (AVR) and leads to perioperative morbidity and rehospitalization. Predicting aortic annulus diameter pre-procedurally is crucial to managing patients with high-risk of PPM. Objectives To compare preoperative measurements of aortic annulus from echocardiography and CT scan with surgical sizing and develop an imaging-based algorithm to predict PPM. Methods From January 2017 to December 2020, patients underwent AVR at a teaching hospital were examined. The relationship between imaging measurements with operative values was assesed using scatter plots and Pearson’s correlation coefficient. Univariable linear regression was then used to build the predictive model. Results A total of 144 patients underwent AVR during the study period. Suture types and surgical approaches were not significantly associated with prosthesis size. CT scan-based measurements showed strong correlation with prosthesis size: mean diameter (R = 0.79), perimeter-derived diameter (R = 0.76), and area-derived diameter (R = 0.75). Mechanical valve and tissue valve shared similar correlation coefficients. Prosthesis size predictive models based on CT scan were 12.89 + 0.335 × d for mean diameter, 13.275 + 0.315 × d for perimeter-derived diameter and 13.626 + 0.309 × d for area-derived diameter. Conclusions Preoperative CT scan measurements are a reliable predictor of aortic prosthesis size. Transthoracic echocardiography is a possible alternative, though it is highly performer-dependent and unable to represent the aortic annulus fully. Together, these two imaging modalities can be used to quantitatively anticipate PPM preoperatively.
Databáze: Directory of Open Access Journals
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