{"doi":"10.1038/s41598-021-87409-2","title":"Relationship between 24-h venous blood glucose variation and mortality among patients with acute respiratory failure","abstract":"Evidence indicates that glucose variation (GV) plays an important role in mortality of critically ill patients. We aimed to investigate the relationship between the coefficient of variation of 24-h venous blood glucose (24-hVBGCV) and mortality among patients with acute respiratory failure. The records of 1625 patients in the Multiparameter Intelligent Monitoring in Intensive Care II (MIMIC II) database were extracted. The 24-hVBGCV was calculated as the ratio of the standard deviation (SD) to the mean venous blood glucose level, expressed as a percentage. The outcomes included ICU mortality and in-hospital mortality. Participants were divided into three subgroups based on tertiles of 24-hVBGCV. Multivariable logistic regression models were used to evaluate the relationship between 24-hVBGCV and mortality. Sensitivity analyses were also performed in groups of patients with and without diabetes mellitus. Taking the lowest tertile as a reference, after adjustment for all the covariates, the highest tertile was significantly associated with ICU mortality [odds ratio (OR), 1.353; 95% confidence interval (CI), 1.018-1.797] and in-hospital mortality (OR, 1.319; 95% CI, 1.003-1.735), especially in the population without diabetes. The 24-hVBGCV may be associated with ICU and in-hospital mortality in patients with acute respiratory failure in the ICU, especially in those without diabetes.","journal":"Scientific Reports","year":2021,"id":199930,"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":8,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.8992,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2021-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":696447,"name":"Jingjing Zhang","orcid":"0000-0002-9155-8979","position":1,"is_corresponding":false},{"id":777003,"name":"Jiamei Li","orcid":"0000-0002-4946-2092","position":2,"is_corresponding":false},{"id":777004,"name":"Ya Gao","orcid":"0000-0002-0248-8981","position":3,"is_corresponding":false},{"id":777005,"name":"Ruohan Li","orcid":"0009-0000-6520-6446","position":4,"is_corresponding":false},{"id":777006,"name":"Xuting Jin","orcid":"0000-0002-1798-0880","position":5,"is_corresponding":false},{"id":777007,"name":"Xiaochuang Wang","orcid":"0000-0002-4281-5756","position":6,"is_corresponding":false},{"id":777008,"name":"Ye Huang","orcid":"0000-0002-8691-4924","position":7,"is_corresponding":false},{"id":484817,"name":"Gang Wang","orcid":"0000-0001-6500-5863","position":8,"is_corresponding":false},{"id":640589,"name":"Xiaoling Zhang","orcid":"0000-0001-5789-9676","position":0,"is_corresponding":true}],"reference_count":20,"raw_metadata":null,"created_at":"2026-07-18T23:50:44.479665Z","pmid":"33833344","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":[]}