ArticleAnnals of intensive care2023
Disseminated intravascular coagulation is strongly associated with severe acute kidney injury in patients with septic shock.
Article in Annals of intensive care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 22 citations in OpenAlex.
- Insights from integrative spatial transcriptomics in sepsis-associated acute kidney injury.Nature reviews. Nephrology · 2026Review
- Disseminated intravascular coagulation in chimeric antigen receptor T-cell therapy: a 6-year nationwide analysis of clinical outcomes and health care resource utilization in patients with hematologic malignancies.Research and practice in thrombosis and haemostasis · 2026Article
- Construction and validation of a machine learning-based prediction model for in-hospital acute kidney injury in patients with lung cancer complicated with sepsis: clinical and nursing applications.Journal of thoracic disease · 2026Article
- 7-day longitudinal proteomics of critically ill patients: a pilot study.Scientific reports · 2026Observational
- Construction of a nomogram prediction model for prolonged ICU length of stay in patients with sepsis-induced coagulopathy.European journal of medical research · 2026Article
- The prevalence, risk factors, and in-hospital mortality of acute kidney injury according to KDIGO criteria in burn patients.Renal failure · 2025Article
- CH7450924, a KEAP1-NRF2 interaction inhibitor, ameliorates LPS-induced multiple organ dysfunction via inflammatory pathway inhibition.Scientific reports · 2025Article
- Outcomes of continuous kidney replacement therapy in pediatric patients: the impact of timing and predictors of mortality.Pediatric nephrology (Berlin, Germany) · 2025Article
- Growth differentiation factor 11 attenuates sepsis-associated acute kidney injury by reducing inflammation and coagulation via PGC-1α/Nrf2 activation.Cellular & molecular biology letters · 2025Article
- Development and Validation of a Nomogram Prediction Model for Sepsis-Induced Coagulopathy: A Multicenter Retrospective Study.Current medical science · 2025Article
- Machine learning models for predicting severe acute kidney injury in patients with sepsis-induced myocardial injury.Scientific reports · 2025Article
- Association analysis of sepsis progression to sepsis-induced coagulopathy: a study based on the MIMIC-IV database.BMC infectious diseases · 2025Article
- Incidence and risk factors of postpartum urinary retention following cesarean section: a retrospective nationwide inpatient sample database study.BMC women's health · 2025Article
- Predicting 28-Day Mortality in Critically Ill Patients Receiving Continuous Renal Replacement Therapy: A Novel Interpretable Machine Learning Approach.Journal of multidisciplinary healthcare · 2025Article
- Influence of CAR T-cell therapy associated complications.Frontiers in oncology · 2025Review
- Understanding, assessing and treating immune, endothelial and haemostasis dysfunctions in bacterial sepsis.Intensive care medicine · 2024Review
- Organ Dysfunction in Sepsis-associated Intravascular Coagulation.Juntendo Iji zasshi = Juntendo medical journal · 2024Article
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDisseminated intravascular coagulation (DIC) worsens the prognosis of septic shock and contributes to multiple organ failure. To date, no data linking DIC and acute kidney injury (AKI) occurrence, severity, and evolution in this setting are available. We aimed at analyzing the association between AKI occurrence, severity and evolution in patients with septic shock-induced DIC. In a prospective monocentric cohort study, consecutive patients, 18 years and older, admitted in the ICU of Strasbourg University Hospital in the setting of systemic hypotension requiring vasopressor related to an infection, without history of terminal chronic kidney disease were eligible. AKI was defined according to the KDIGO classification. DIC diagnosis was based on the International Society on Thrombosis and Haemostasis (ISTH) score. Evolution of AKI was evaluated through the composite endpoint of major adverse kidney events. Only patients with DIC that occurred before or at the time of AKI diagnosis were considered. Univariate and multivariate analysis were performed to determine factors associated with renal outcomes.
results350 patients were included, of whom 129 experienced DIC. Patients with DIC were more seriously ill (median SAPS II 64 vs. 56, p < 0.001), and had higher 28-day mortality (43.3% vs. 26.2%, p < 0.001). AKI was more frequent in patients with DIC (86.8% vs. 74.2%, p < 0.005), particularly for the more severe stage of AKI [KDIGO 3 in 58.1% of patients with DIC vs. 30.8% of patients without DIC, p < 0.001, AKI requiring renal replacement therapy (RRT) in 47.3% of patients with DIC vs. 21.3% of patients without DIC, p < 0.001]. After adjustment for confounding factors, DIC occurrence remained associated with the risk of having the more severe stage of AKI with an odds ratio (OR) of 2.74 [IC 95% (1.53-4.91), p < 0.001], and with the risk of requiring RRT during the ICU stay [OR 2.82 (1.53-5.2), p < 0.001].
conclusionDIC appears to be strongly associated with the risk of developing the more severe form of AKI (stage 3 of the KDIGO classification, RRT requirement), even after adjustment for severity and other relevant factors.
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