Observational studyClinical and experimental medicine2021
A prediction model of sepsis-associated acute kidney injury based on antithrombin III.
Observational study in Clinical and experimental medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.
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Who cites it
20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.
- Prediction models for sepsis-associated acute kidney injury: a systematic review and meta-analysis.Frontiers in endocrinology · 2026Pooled it
- Characterization of Risk Prediction Models for Acute Kidney Injury: A Systematic Review and Meta-analysis.JAMA network open · 2023Pooled it
- Development and internal validation of a prediction model for early identification of sepsis-associated acute kidney injury based on admission serum biomarkers: a retrospective cohort study.Frontiers in medicine · 2026Article
- Early recognition of sepsis-associated acute kidney injury based on BioBERT-BPNN multimodal clinical data analysis.PloS one · 2026Article
- Identification of Key Genes and Potential Therapeutic Targets in Sepsis-Associated Acute Kidney Injury Using Transformer and Machine Learning Approaches.Bioengineering (Basel, Switzerland) · 2025Article
- Article
- A CD36-based prediction model for sepsis-induced myocardial injury.International journal of cardiology. Heart & vasculature · 2025Article
- Predictive models of sepsis-associated acute kidney injury based on machine learning: a scoping review.Renal failure · 2024Article
- Association between the mean perfusion pressure and the risk of acute kidney injury in critically ill patients with sepsis: a retrospective cohort study.BMC infectious diseases · 2024Article
- Artificial intelligence and machine learning's role in sepsis-associated acute kidney injury.Kidney research and clinical practice · 2024Article
- Mediation effect of antithrombin III between chronic renal insufficiency and chronic coronary artery disease in T2DM patients.Endocrine · 2024Article
- Development of a nomogram model for the early prediction of sepsis-associated acute kidney injury in critically ill patients.Scientific reports · 2023Observational
- Association between hyperuricemia and acute kidney injury in critically ill patients with sepsis.BMC nephrology · 2023Article
- Proteomic-Based Platelet Activation-Associated Protein SELP May Be a Novel Biomarker for Coagulation and Prognostic in Essential Thrombocythemia.Journal of clinical medicine · 2023Article
- Machine learning for the prediction of cognitive impairment in older adults.Frontiers in neuroscience · 2023Article
- COVID-19-associated coagulopathy and acute kidney injury in critically ill patients.Einstein (Sao Paulo, Brazil) · 2023Article
- Development and Validation of a Prognostic Nomogram to Predict 30-Day Mortality Risk in Patients with Sepsis-Induced Cardiorenal Syndrome.Kidney diseases (Basel, Switzerland) · 2022Article
- Value of Central Venous Pressure Monitoring in the Patients with Sepsis-Associated Acute Kidney Injury.Disease markers · 2022Article
- A Prediction Model for Acute Kidney Injury in Adult Patients With Minimal Change Disease.Frontiers in medicine · 2022Article
- Antithrombin and Its Role in Host Defense and Inflammation.International journal of molecular sciences · 2021Review
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The incidence of sepsis-associated acute kidney injury (AKI) is on the rise. Recent studies have found a correlation between antithrombin III and AKI. We established a predictive model for sepsis-associated AKI based on plasma ATIII levels. A prospective study (March 2018-January 2020) was conducted in sepsis patients admitted to the Critical Care Medicine Department at Shanghai General Hospital. ATIII levels were obtained within 48 h after admission to the ICU and before the diagnosis of sepsis-associated AKI was recorded. Renal function was assessed by measuring serum creatinine levels and urine volume. Male sex, other cardiovascular disease, and low ATIII levels were identified as independent risk factors for AKI. Age, immune disease, and low ATIII levels were identified as independent risk factors for death. Plasma ATIII levels in the non-AKI group were higher than those in the AKI group, plasma ATIII levels were higher in the survival group than in the non-survival group, plasma ATIII levels in the non-CRRT group were higher than those in the CRRT group, and plasma ATIII levels in the non-CKD group were higher than those in the CKD group. ATIII was significantly higher in the group with pulmonary infection than in the group without pulmonary infection. ATIII was significantly lower in the celiac infection group than in the nonceliac infection group. There was no statistically significant difference between the ATIII in the gram-positive group and the gram-negative group. ATIII was significantly higher in medical patients than in surgical patients. The predictive model of sepsis-associated AKI established based on ATIII was ln[P/(1 - p)] = -1.211 × sex - 0.017 × ATIII + 0.022 × Cr + 0.004 × BUN - 2.8192. The model goodness-of-fit test (p = 0.000) and the area under the ROC curve of the model (0.9862) suggested that the model has a high degree of discrimination and calibration. ATIII reduction was closely related to the prognosis of patients with sepsis. ATIII reduction was an independent risk factor for sepsis-associated AKI and an independent risk factor for mortality in patients with sepsis. ATIII reduction could predict sepsis-associated AKI. Low ATIII predicted a poor prognosis.
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