{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Topkara VK"],"funding":["NHLBI NIH HHS"],"pagination":["e008711"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8766904"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["15(1)"],"pubmed_abstract":["<h4>Background</h4>Prospective studies demonstrate that aggressive pharmacological therapy combined with pump speed optimization may result in myocardial recovery in larger numbers of patients supported with left ventricular assist device (LVAD). This study sought to determine whether the use of machine learning (ML) based models predict LVAD patients with myocardial recovery resulting in pump explant.<h4>Methods</h4>A total of 20 270 adult patients with a durable continuous-flow LVAD in the INTERMACS registry (Interagency Registry for Mechanically Assisted Circulatory Support) were included in the study. Ninety-eight raw clinical variables were screened using the least absolute shrinkage and selection operator for selection of features associated with LVAD-induced myocardial recovery. ML "],"journal":["Circulation. Heart failure"],"pubmed_title":["Machine Learning-Based Prediction of Myocardial Recovery in Patients With Left Ventricular Assist Device Support."],"pmcid":["PMC8766904"],"funding_grant_id":["K08 HL146964"],"pubmed_authors":["Jain R","Uriel N","Topkara VK","Elias P","Sayer G","Burkhoff D"],"additional_accession":[]},"is_claimable":false,"name":"Machine Learning-Based Prediction of Myocardial Recovery in Patients With Left Ventricular Assist Device Support.","description":"<h4>Background</h4>Prospective studies demonstrate that aggressive pharmacological therapy combined with pump speed optimization may result in myocardial recovery in larger numbers of patients supported with left ventricular assist device (LVAD). This study sought to determine whether the use of machine learning (ML) based models predict LVAD patients with myocardial recovery resulting in pump explant.<h4>Methods</h4>A total of 20 270 adult patients with a durable continuous-flow LVAD in the INTERMACS registry (Interagency Registry for Mechanically Assisted Circulatory Support) were included in the study. Ninety-eight raw clinical variables were screened using the least absolute shrinkage and selection operator for selection of features associated with LVAD-induced myocardial recovery. ML ","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Jan","modification":"2025-04-21T15:19:57.183Z","creation":"2025-04-21T15:19:57.183Z"},"accession":"S-EPMC8766904","cross_references":{"pubmed":["34949101"],"doi":["10.1161/CIRCHEARTFAILURE.121.008711","10.1161/circheartfailure.121.008711"]}}