TY - JOUR
T1 - Risk stratification model for in-hospital death in patients undergoing percutaneous coronary intervention
T2 - A nationwide retrospective cohort study in Japan
AU - Inohara, Taku
AU - Kohsaka, Shun
AU - Yamaji, Kyohei
AU - Ishii, Hideki
AU - Amano, Tetsuya
AU - Uemura, Shiro
AU - Kadota, Kazushige
AU - Kumamaru, Hiraku
AU - Miyata, Hiroaki
AU - Nakamura, Masato
N1 - Funding Information:
Funding This study was funded by the Grant-in-Aid from Scientific Research from Japan Agency for Medical Research and Development (Grant No. 17ek0210097h000) and the Japan Society for the Promotion of Science (Grant No. 16KK0186 and 16H05215). The J-PCI registry is a registry led and supported by the Japanese Association of Cardiovascular Intervention and Therapeutics.
Publisher Copyright:
© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
PY - 2019/5/1
Y1 - 2019/5/1
N2 - Objectives To provide an accurate adjustment for mortality in a benchmark, developing a risk prediction model from its own dataset is mandatory. We aimed to develop and validate a risk model predicting in-hospital mortality in a broad spectrum of Japanese patients after percutaneous coronary intervention (PCI). Design A retrospective cohort study was conducted. Setting The Japanese-PCI (J-PCI) registry includes a nationally representative retrospective sample of patients who underwent PCI and covers approximately 88% of all PCIs in Japan. Participants Overall, 669 181 patients who underwent PCI between January 2014 and December 2016 in 1018 institutes. Main outcome measures In-hospital death. Results The study population (n=669 181; mean (SD) age, 70.1(11.0) years; women, 24.0%) was divided into two groups: 50% of the sample was used for model derivation (n=334 591), while the remaining 50% was used for model validation (n=334 590). Using the derivation cohort, both a € full' and a € preprocedure' risk models were developed using logistic regression analysis. Using the validation cohort, the developed risk models were internally validated. The in-hospital mortality rate was 0.7%. The preprocedure model included age, sex, clinical presentation, previous PCI, previous coronary artery bypass grafting, hypertension, dyslipidaemia, smoking, renal dysfunction, dialysis, peripheral vascular disease, previous heart failure and cardiogenic shock. Angiographic information, such as the number of diseased vessel and location of the target lesion, was also included in the full model. Both models performed well in the entire validation cohort (C-indexes: 0.929 and 0.926 for full and preprocedure models, respectively) and among prespecified subgroups with good calibration, although both models underestimated the risk of mortality in high-risk patients with the elective procedure. Conclusions These simple models from a nationwide J-PCI registry, which is easily applicable in clinical practice and readily available directly at the patients' presentation, are valid tools for preprocedural risk stratification of patients undergoing PCI in contemporary Japanese practice.
AB - Objectives To provide an accurate adjustment for mortality in a benchmark, developing a risk prediction model from its own dataset is mandatory. We aimed to develop and validate a risk model predicting in-hospital mortality in a broad spectrum of Japanese patients after percutaneous coronary intervention (PCI). Design A retrospective cohort study was conducted. Setting The Japanese-PCI (J-PCI) registry includes a nationally representative retrospective sample of patients who underwent PCI and covers approximately 88% of all PCIs in Japan. Participants Overall, 669 181 patients who underwent PCI between January 2014 and December 2016 in 1018 institutes. Main outcome measures In-hospital death. Results The study population (n=669 181; mean (SD) age, 70.1(11.0) years; women, 24.0%) was divided into two groups: 50% of the sample was used for model derivation (n=334 591), while the remaining 50% was used for model validation (n=334 590). Using the derivation cohort, both a € full' and a € preprocedure' risk models were developed using logistic regression analysis. Using the validation cohort, the developed risk models were internally validated. The in-hospital mortality rate was 0.7%. The preprocedure model included age, sex, clinical presentation, previous PCI, previous coronary artery bypass grafting, hypertension, dyslipidaemia, smoking, renal dysfunction, dialysis, peripheral vascular disease, previous heart failure and cardiogenic shock. Angiographic information, such as the number of diseased vessel and location of the target lesion, was also included in the full model. Both models performed well in the entire validation cohort (C-indexes: 0.929 and 0.926 for full and preprocedure models, respectively) and among prespecified subgroups with good calibration, although both models underestimated the risk of mortality in high-risk patients with the elective procedure. Conclusions These simple models from a nationwide J-PCI registry, which is easily applicable in clinical practice and readily available directly at the patients' presentation, are valid tools for preprocedural risk stratification of patients undergoing PCI in contemporary Japanese practice.
KW - In-hospital mortality
KW - percutaneous coronary intervention
KW - risk model
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U2 - 10.1136/bmjopen-2018-026683
DO - 10.1136/bmjopen-2018-026683
M3 - Article
C2 - 31122979
AN - SCOPUS:85066852125
SN - 2044-6055
VL - 9
JO - BMJ open
JF - BMJ open
IS - 5
M1 - e026683
ER -