{"doi":"10.1016/j.xjon.2025.03.021","title":"Biomarkers of postoperative cardiac surgery–associated acute kidney injury: Narrowing the field","abstract":"Background: Cardiac surgery-associated acute kidney injury (CSA-AKI) is commonly observed after cardiac surgery and has been shown to be associated with increased morbidity and mortality. This study was conducted using the Kidney Disease Improving Global Outcomes (KDIGO) criteria to analyze potential perioperative biomarkers of CSA-AKI. Methods: Blood was collected from patients intraoperatively on entry into the pericardium and at 4, 12, 24, and 48 hours postoperatively. Repeated-measures, mixed-model analysis was conducted to determine which cytokines and/or chemokines were associated with postoperative CSA-AKI. LASSO regression and random forest modeling were used for variable selection and incorporation into a multivariable regression model. Results: = .001). Conclusions: Multiple cytokines were significantly elevated between the CSA-AKI group and the CSA-non-AKI group. Myoglobin, haptoglobin, and IL-1RA are potential blood biomarkers for AKI after cardiac surgery. Further research is needed to investigate the roles of these biomarkers and their associations with CSA-AKI.","journal":"JTCVS Open","year":2025,"id":533527,"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":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9354,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":280209,"name":"Joshua Manghelli","orcid":null,"position":1,"is_corresponding":false},{"id":278778,"name":"Ali J. Khiabani","orcid":"0000-0002-7814-1466","position":2,"is_corresponding":false},{"id":230331,"name":"Andrew E. Gelman","orcid":"0000-0002-0711-6343","position":3,"is_corresponding":false},{"id":280212,"name":"Richard B. Schuessler","orcid":null,"position":4,"is_corresponding":false},{"id":278782,"name":"Ralph J. Damiano","orcid":"0000-0002-6361-6107","position":5,"is_corresponding":false},{"id":280213,"name":"Spencer J. Melby","orcid":null,"position":6,"is_corresponding":false},{"id":789937,"name":"Matthew R. Schill","orcid":"0000-0003-2131-9523","position":7,"is_corresponding":false},{"id":715639,"name":"Christian W. Zemlin","orcid":"0000-0001-5834-5544","position":8,"is_corresponding":false},{"id":1415751,"name":"James Edgerton","orcid":null,"position":9,"is_corresponding":false},{"id":715638,"name":"Samuel Perez","orcid":"0000-0003-4151-3091","position":0,"is_corresponding":true}],"reference_count":39,"raw_metadata":null,"created_at":"2026-07-19T02:51:32.301795Z","pmid":"40631034","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":[]}