ArticleScientific reports2023
C-reactive protein-to-albumin ratio as a biomarker in patients with sepsis: a novel LASSO-COX based prognostic nomogram.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
- Incremental Prognostic Value of the C-Reactive Protein-to-Albumin Ratio Beyond a Parsimonious Clinical Reference Model in Critically Ill Patients with Acute Ischemic Stroke.Diagnostics (Basel, Switzerland) · 2026Article
- Clinical and Inflammatory Determinants of Postoperative Delirium After Hip Fracture Surgery: A Retrospective Cohort Study of 962 Patients.Medicina (Kaunas, Lithuania) · 2026Article
- Prognostic value of C-reactive protein to albumin ratio (CAR) for mortality in older adults with sepsis: Cohort study.Clinical medicine (London, England) · 2026Article
- Stroke-Associated Pneumonia and Impaired Functional Recovery After Stroke: The Role of Nutritional-Inflammatory Factors.Advances in respiratory medicine · 2026Article
- Dynamic inflammation-based prognostication in acute-on-chronic liver failure: The COSSH-CAR model as a step forward in personalized risk stratification.World journal of hepatology · 2026Article
- Retrospective Evaluation of Central Venous Catheter Use for Parenteral Nutrition in Pediatric Intestinal Failure: Infections and Taurolidine Role.Antibiotics (Basel, Switzerland) · 2026Article
- Sepsis as a complex syndrome: Are combined biomarkers the future of diagnosis and prognosis? Clinical perspective.Immunology letters · 2026Review
- A Clinical Prediction Model for Bacterial Coinfection in Children with Respiratory Syncytial Virus Infection: A Development and Validation Study.Diagnostics (Basel, Switzerland) · 2026Article
- Association between C-reactive protein to albumin ratio and major adverse cardiac events in patients with stable coronary artery disease treated by percutaneous coronary intervention.Frontiers in cardiovascular medicine · 2026Article
- The Association Between C-Reactive Protein-to-Albumin Ratio and in-Hospital Mortality in Patients withJournal of inflammation research · 2026Article
- Nomogram to predict severeFrontiers in pediatrics · 2026Article
- Risk Factors for Sepsis in Pediatric All During Induction Chemotherapy-Induced Neutropenia: A Single-Center Retrospective Study.Infection and drug resistance · 2026Article
- C-reactive protein-to-albumin ratio as a novel prognostic biomarker for long-term mortality in pericarditis: a real-world study.BMC cardiovascular disorders · 2025Article
- Predictive Prognosis Value of CRP Measurement and CAR in Dogs Infected with Parvovirus.Veterinary sciences · 2025Article
- Unravelling butyrate metabolism in sepsis: identification of key genes.BMC infectious diseases · 2025Article
- C-reactive protein-to-albumin ratio as a predictor of 28-day mortality in critically ill pediatric patients: a retrospective cohort study.BMC pediatrics · 2025Article
- Investigation of the Prognostic Value of Novel Laboratory Indices in Patients with Sepsis in an Intensive Care Unit: A Retrospective Observational Study.Journal of clinical medicine · 2025Article
- A retrospective analysis of the correlation between the glucose-to-albumin ratio and 28-day mortality in sepsis patients.BMC infectious diseases · 2025Article
- Association between the (neutrophil + monocyte)/albumin ratio and all-cause mortality in sepsis patients: a retrospective cohort study and predictive model establishment according to machine learning.BMC infectious diseases · 2025Article
- Prognostic value of NPR and CLR-based nomogram modeling in elderly patients with Acinetobacter baumannii bloodstream infection.BMC geriatrics · 2025Article
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7 authors.
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Abstract
To develop a C-reactive protein-to-albumin ratio (CAR)-based nomogram for predicting the risk of in-hospital death in sepsis patients. Sepsis patients were selected from the MIMIC-IV database. Independent predictors were determined by multiple Cox analysis and then integrated to predict survival. The performance of the model was evaluated using the concordance index (C-index), receiver operating characteristic curve (ROC) analysis, and calibration curve. The risk stratifications analysis and subgroup analysis of the model in overall survival (OS) were assessed by Kaplan-Meier (K-M) curves. A total of 6414 sepsis patients were included. C-index of the CAR-based model was 0.917 [standard error (SE): 0.112] for the training set and 0.935 (SE: 0.010) for the validation set. The ROC curve analysis showed that the area under the curve (AUC) of the nomogram was 0.881 in the training set and 0.801 in the validation set. And the calibration curve showed that the nomogram performs well in both the training and validation sets. K-M curves indicated that patients with high CAR had significantly higher in-hospital mortality than those with low CAR. The CAR-based model has considerably high accuracy for predicting the OS of sepsis patients.
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