biostudies-literatureUnknown27(1)Kondo T<h4>Aims</h4>Impella has become a new option for mechanical circulatory support in patients with cardiogenic shock (CS); however, prognostic models for patients after Impella are lacking. We aimed to identify the factors that predict in-hospital mortality in patients with CS requiring Impella and develop a new risk prediction model.<h4>Methods and results</h4>We utilized the J-PVAD registry, which includes all cases where Impella was implanted in Japan. Two-thirds of the patients in the J-PVAD registry were randomly assigned to the derivation cohort (n = 1701), and the other third was assigned to the validation cohort (n = 850). A backward stepwise logistic regression model was developed to identify factors associated with in-hospital mortality. In the derivation cohort, 956 patients were European journal of heart failure51-59https://www.ebi.ac.uk/biostudies/studies/S-EPMC11798632biostudies-literaturePredicting survival after Impella implantation in patients with cardiogenic shock: The J-PVAD risk score.PMC11798632Imaizumi TMorimoto RKondo TMutsuga MKazama SYoshizumi TMurohara THiraiwa HOkumura TfalsePredicting survival after Impella implantation in patients with cardiogenic shock: The J-PVAD risk score.<h4>Aims</h4>Impella has become a new option for mechanical circulatory support in patients with cardiogenic shock (CS); however, prognostic models for patients after Impella are lacking. We aimed to identify the factors that predict in-hospital mortality in patients with CS requiring Impella and develop a new risk prediction model.<h4>Methods and results</h4>We utilized the J-PVAD registry, which includes all cases where Impella was implanted in Japan. Two-thirds of the patients in the J-PVAD registry were randomly assigned to the derivation cohort (n = 1701), and the other third was assigned to the validation cohort (n = 850). A backward stepwise logistic regression model was developed to identify factors associated with in-hospital mortality. In the derivation cohort, 956 patients were 2025-01-01T00:00:00Z2025 Jan2025-04-04T02:10:20.345Z2025-04-04T02:10:20.345ZS-EPMC117986323930076110.1002/ejhf.3471