{"doi":"10.1111/ctr.14190","title":"Karnofsky performance status predicts outcomes in candidates for simultaneous liver‐kidney transplant","abstract":"Karnofsky performance status (KPS), a measure of physical frailty, predicts pre-transplant and post-transplant outcomes in liver transplantation, but has not been assessed in simultaneous liver-kidney transplantation (SLKT). We examined the association between KPS and outcomes in SLKT waitlist registrants and recipients (2005-2018) in the UNOS database. KPS was categorized into A (able to work), B (able to provide self-care), and C (unable to provide self-care). Cox regression and competing risk analysis were used to assess the association between KPS groups and outcomes. A total of 10,785 patients were waitlisted (KPS: 19% A, 46% B, 35% C), and 5,516 underwent SLKT (12% A, 36% B, 52% C). One-year waitlist mortality was 17%, 22%, and 32% for KPS A, B, and C, respectively. In adjusted competing risk regression, KPS C was associated with increased waitlist mortality (SHR 1.15, 95%CI 1.04-1.28). One-year post-transplant survival was 92%, 91%, and 87% for KPS A, B, and C, respectively. In adjusted Cox regression, KPS C was associated with increased post-transplant mortality (HR 1.32, 95%CI 1.08-1.61). It was also associated with increased liver and kidney graft losses and with hospital length of stay. Frailty, as assessed by KPS, is associated with poor outcomes in SLKT pre- and post-transplant.","journal":"Clinical Transplantation","year":2020,"id":68815,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":22,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9623,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":296874,"name":"Francis Pike","orcid":null,"position":1,"is_corresponding":false},{"id":284722,"name":"Marwan Ghabril","orcid":"0000-0002-4784-3246","position":2,"is_corresponding":false},{"id":284727,"name":"Kavish R. Patidar","orcid":"0000-0003-3633-382X","position":3,"is_corresponding":false},{"id":284720,"name":"Archita P. Desai","orcid":"0000-0001-8731-2370","position":4,"is_corresponding":false},{"id":284723,"name":"Lauren Nephew","orcid":"0000-0003-0837-0746","position":5,"is_corresponding":false},{"id":364477,"name":"Melissa Anderson","orcid":"0009-0007-1696-2385","position":6,"is_corresponding":false},{"id":364478,"name":"Chandrashekhar A. Kubal","orcid":"0000-0003-4043-2943","position":7,"is_corresponding":false},{"id":284726,"name":"Naga Chalasani","orcid":"0000-0003-4082-3178","position":8,"is_corresponding":false},{"id":284721,"name":"Eric S. Orman","orcid":"0000-0002-8295-9076","position":9,"is_corresponding":false},{"id":364476,"name":"Hani Shamseddeen","orcid":"0000-0001-6498-3403","position":0,"is_corresponding":true}],"reference_count":32,"raw_metadata":null,"created_at":"2026-07-18T21:41:52.279368Z","pmid":"33320383","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}