TY - JOUR
T1 - A Risk Model for 1-Year Mortality After Transcatheter Aortic Valve Replacement From the J-TVT Registry
AU - Maeda, Koichi
AU - Kumamaru, Hiraku
AU - Kohsaka, Shun
AU - Shimamura, Kazuo
AU - Mizote, Isamu
AU - Yamashita, Kizuku
AU - Kawamura, Ai
AU - Mukai, Takashi
AU - Nakamura, Daisuke
AU - Takeda, Yasuharu
AU - Shimizu, Hideyuki
AU - Sakata, Yasushi
AU - Kuratani, Toru
AU - Miyagawa, Shigeru
AU - Sawa, Yoshiki
N1 - Publisher Copyright:
© 2022 The Authors
PY - 2022/10
Y1 - 2022/10
N2 - Background: Although transcatheter aortic valve replacement (TAVR) has demonstrated favorable outcomes in randomized studies, there remains a sizable group of patients in whom TAVR may be futile. Characterizing the survival rate in a wide array of patients undergoing TAVR can help develop effective strategies for improving the allocation of medial resources. Objectives: The aim of this study was to develop a risk model to estimate 1-year mortality after TAVR from a representative nationwide registry in Japan. Methods: The J-TVT (Japan Transcatheter Valve Therapies) registry contains complete data, including 1-year outcomes, on patients undergoing TAVR in Japan. A total of 17,655 patients underwent TAVR between 2013 and 2018. They were randomly divided into 2 groups in a 7:3 ratio to form a derivation cohort of 12,316 patients and a validation cohort of 5,339 patients. A risk model was constructed for 1-year mortality in the derivation cohort, and its discrimination and calibration were assessed in the validation cohort. Results: The mean age of all registered patients was 84.4 years, and 68.8% were women. The mean body size area was 1.43 m2, and the mean Society of Thoracic Surgeons Predicted Risk of Mortality score was 7.3%. The estimated 1-year survival was 91.8%; 202 and 1,316 deaths were observed at 30 days and 1 year, respectively; The estimated C index for the developed model was 0.733 (95% CI: 0.709-0.757) in the validation cohort, with good calibration. Conclusions: A prediction model for 1-year survival following TAVR derived from a national clinical database performed well and should aid physicians managing TAVR patients.
AB - Background: Although transcatheter aortic valve replacement (TAVR) has demonstrated favorable outcomes in randomized studies, there remains a sizable group of patients in whom TAVR may be futile. Characterizing the survival rate in a wide array of patients undergoing TAVR can help develop effective strategies for improving the allocation of medial resources. Objectives: The aim of this study was to develop a risk model to estimate 1-year mortality after TAVR from a representative nationwide registry in Japan. Methods: The J-TVT (Japan Transcatheter Valve Therapies) registry contains complete data, including 1-year outcomes, on patients undergoing TAVR in Japan. A total of 17,655 patients underwent TAVR between 2013 and 2018. They were randomly divided into 2 groups in a 7:3 ratio to form a derivation cohort of 12,316 patients and a validation cohort of 5,339 patients. A risk model was constructed for 1-year mortality in the derivation cohort, and its discrimination and calibration were assessed in the validation cohort. Results: The mean age of all registered patients was 84.4 years, and 68.8% were women. The mean body size area was 1.43 m2, and the mean Society of Thoracic Surgeons Predicted Risk of Mortality score was 7.3%. The estimated 1-year survival was 91.8%; 202 and 1,316 deaths were observed at 30 days and 1 year, respectively; The estimated C index for the developed model was 0.733 (95% CI: 0.709-0.757) in the validation cohort, with good calibration. Conclusions: A prediction model for 1-year survival following TAVR derived from a national clinical database performed well and should aid physicians managing TAVR patients.
KW - prediction model
KW - registry
KW - transcatheter aortic valve replacement
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U2 - 10.1016/j.jacasi.2022.06.002
DO - 10.1016/j.jacasi.2022.06.002
M3 - Article
AN - SCOPUS:85139650345
SN - 2772-3747
VL - 2
SP - 635
EP - 644
JO - JACC: Asia
JF - JACC: Asia
IS - 5
ER -