ArticleHeliyon2024
The value of D-dimer-albumin ratio as a prognostic biomarker in critically ill patients with sepsis: A retrospective single-center study.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Physiological Phenotypes in Comatose ICU Patients: A Retrospective Multidimensional Analysis.Diagnostics (Basel, Switzerland) · 2026Article
- Explainable machine learning with routine biomarkers identifies culture-defined bacteremic urosepsis.Scientific reports · 2026Article
- Admission D-Dimer-to-Albumin Ratio as a Predictor of Poor Prognosis in Patients with Severe Fever with Thrombocytopenia Syndrome: A Retrospective Cohort Study.Infection and drug resistance · 2026Article
- Elevated D-dimer is independently associated with in-hospital mortality in patients withFrontiers in cellular and infection microbiology · 2026Article
- Serial D-dimer measurements dynamically predict disease severity in acute biliary pancreatitis: a prospective observational study.Turkish journal of medical sciences · 2025Observational
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: This study aimed to examine the potential prognostic significance of the D-dimer-albumin ratio (DAR) in critically ill patients with sepsis. Methods: A retrospective cohort study was carried out at the Affiliated Hospital of Jiangsu University, involving 1123 patients diagnosed with sepsis from January 2015 to November 2023. The patients were categorized into four groups (Q1-Q4) based on their DAR levels. The primary outcomes measured were in-hospital mortality and ICU mortality. Survival analysis was conducted using Kaplan-Meier survival curves and the log-rank test. Additionally, Cox proportional hazards regression models were utilized to investigate the relationship between the DAR and all-cause mortality. Results: The study population had a median age of 75 years (interquartile range: 65-84), and the median DAR was 0.15 (interquartile range: 0.08-0.32). The rates of hospital mortality and ICU mortality were 33.7 % and 31.9 % respectively. There was an observed increase in the cumulative incidence of 30-/60-day mortality with higher DAR levels (log-rank test, P < 0.001). After accounting for other variables, the results from multivariable Cox proportional hazards analyses demonstrated that DAR independently predicted hospital death [HR (95%CI): 1.419 (1.205-1.670); P < 0.001] and ICU death [HR (95%CI): 1.437 (1.219-1.693); P < 0.001]. Conclusions: The DAR was found to be an independent predictor of all-cause mortality in critically ill patients with sepsis.
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