{"doi":"10.1016/j.jtcvs.2004.05.022","title":"Preoperative prediction of long-term survival after coronary artery bypass grafting in patients with low left ventricular ejection fraction","abstract":"<h4>Objective</h4>We aimed to develop multivariable models of preoperative risk factors that predict long-term survival after coronary artery bypass grafting in patients with ejection fraction 25% or less.<h4>Methods</h4>We retrospectively evaluated 544 consecutive patients with ejection fraction 25% or less who underwent coronary artery bypass grafting from 1992 to 2002 at a single institution. Long-term survival data (mean follow-up 4.1 years) were obtained from the National Death Index. Multivariable Cox regression analysis was performed to construct a predictive score for long-term mortality. A split-sample approach was also used building a model on a training group (n = 360); this model was then tested on a separate validation group (n = 184).<h4>Results</h4>From the entire database, the predictive score was calculated according to the following equation: 0.430(if past congestive heart failure) + 0.049(age in years) + 0.507(if peripheral vascular disease) + 0.580(if emergency operation) + 0.366(if chronic obstructive pulmonary disease). The 5-year survivals of the predictive score quartiles were 82.3%, 78.2%, 65.5%, and 45.5% (P < .0001). The model based on the training group had four independent predictors for long-term mortality (the same as the listed equation except for past congestive heart failure). The 5-year survival rates of the quartiles were 90.1%, 75.4%, 64.3%, and 49.2% in the training group (P < .0001) and 77.4%, 71.2%, 65.8%, and 45.5% in the validation group (P = .0001).<h4>Conclusion</h4>Coronary artery bypass grafting in patients with severe ischemic cardiomyopathy achieves satisfactory midterm and long-term survival in selected patients. This new score, which is based on long-term data from a large number of patients, may aid clinicians in selecting therapeutic interventions for patients with ischemic cardiomyopathy.","journal":"The Journal of Thoracic and Cardiovascular Surgery","year":2005,"id":7644,"datarank":0.5495342469194471,"base_score":3.6635616461296463,"endowment":3.6635616461296463,"self_citation_contribution":0.5495342469194471,"citation_network_contribution":0.0,"self_endowment_contribution":0.5495342469194471,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":38,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.0642,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2005-02-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":20970,"name":"Ioannis K. Toumpoulis","orcid":"0000-0002-1874-1785","position":1,"is_corresponding":false},{"id":55549,"name":"Sandhya K. Balaram","orcid":"0000-0001-6160-9918","position":2,"is_corresponding":false},{"id":55550,"name":"Scott Belsley","orcid":"0000-0003-3369-0637","position":4,"is_corresponding":false},{"id":55551,"name":"Robert C. Ashton","orcid":null,"position":5,"is_corresponding":false},{"id":20974,"name":"Daniel G. Swistel","orcid":"0000-0002-0846-2205","position":6,"is_corresponding":false},{"id":50869,"name":"Constantine E. Anagnostopoulos","orcid":null,"position":7,"is_corresponding":false},{"id":148,"name":"John P. A. Ioannidis","orcid":"0000-0003-3118-6859","position":8,"is_corresponding":false},{"id":20975,"name":"Joseph J. DeRose","orcid":"0000-0002-0490-3958","position":0,"is_corresponding":true}],"reference_count":32,"raw_metadata":null,"created_at":"2026-03-01T18:20:47.508186Z","pmid":null,"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":[]}