{"doi":"10.1111/ctr.14798","title":"Pre‐transplant cognitive screening is a poor predictor of post‐transplant cognitive status","abstract":"INTRODUCTION: Transplant centers hesitate to transplant patients with cognitive impairment. It is unclear if pre-kidney transplant (KT) cognitive screening can predict post-KT cognitive function. METHODS: We evaluated pre- to post-KT cognitive function with the Montreal Cognitive Assessment (MoCA) in a cohort of 108 patients. We used an adjusted logistic regression model to assess pre- to post-KT changes in cognitive status (continuous variable) and a linear mixed model to assess changes in MoCA scores (categorical variable) pre- to post- KT. RESULTS: The average pre- and post-KT MoCA scores were 25.3 ± 3.0 and 26.4 ± 2.8, respectively. Final pre-KT score did not predict post-KT cognitive status (OR = 1.08; 95% CI: .92-1.26; P = .35). 32% of the patients with a final pre-KT score ≥26 had at least one post-KT score < 26. Conversely, 61% of the patients with a final pre-KT score < 26 had at least one post KT score ≥26. In the linear mixed model analysis, the final pre-KT score was associated with a small, clinically insignificant (β = .34; 95% CI: .19-.49; P < .001) effect on the post-KT score. CONCLUSION: A low pre-KT MoCA score is not a strong independent predictor of post-KT cognitive function and should not preclude patients from receiving a KT.","journal":"Clinical Transplantation","year":2022,"id":275585,"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":9,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9612,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":461417,"name":"Robert N. Montgomery","orcid":"0000-0002-1423-0590","position":1,"is_corresponding":false},{"id":945120,"name":"Kate Young","orcid":"0000-0003-2680-013X","position":2,"is_corresponding":false},{"id":733809,"name":"Rishav Mukherjee","orcid":"0000-0001-5883-2908","position":3,"is_corresponding":false},{"id":945656,"name":"Shweta Chakraborty","orcid":null,"position":4,"is_corresponding":false},{"id":945657,"name":"Tashra S. Thomas","orcid":null,"position":5,"is_corresponding":false},{"id":466675,"name":"Diane M. Cibrik","orcid":null,"position":6,"is_corresponding":false},{"id":428326,"name":"David A. Drew","orcid":"0000-0003-0377-723X","position":7,"is_corresponding":false},{"id":261909,"name":"Mark J. Sarnak","orcid":"0000-0003-4927-6609","position":8,"is_corresponding":false},{"id":424353,"name":"Aditi Gupta","orcid":"0000-0002-6286-802X","position":0,"is_corresponding":true}],"reference_count":17,"raw_metadata":null,"created_at":"2026-07-19T00:28:21.971703Z","pmid":"35989467","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":[]}