Related Experiment Video
Updated: Jan 18, 2026

Standardized Colon Ascendens Stent Peritonitis in Rats - a Simple, Feasible Animal Model to Induce Septic Acute Kidney Injury
Published on: February 15, 2022
Acute kidney injury and in-hospital mortality in COVID-19: a causal analysis using directed acyclic graphs
Paola Andrea Gallego Aristizabal1,2, Tania Paola Lujan Chavarría3,4, Joaquín Rodelo-Ceballos5,4
1Department of Internal Medicine, Faculty of Medicine, Universidad de Antioquia, Carrera 73 # 53-93, Medellín, Colombia. paolagallego383@gmail.com.
Insights
Acute kidney injury (AKI) significantly increases mortality risk in COVID-19 patients. This study used directed acyclic graphs to confirm AKI
Area of Science:
- Nephrology
- Infectious Diseases
- Epidemiology
Background:
- Acute kidney injury (AKI) is a frequent complication in COVID-19 patients, linked to higher mortality.
- The independent impact of AKI on COVID-19 mortality requires further clarification.
Purpose of the Study:
- To assess the independent association between AKI and mortality in COVID-19 patients.
- To utilize a directed acyclic graph (DAG) approach for causal inference.
Main Methods:
- A retrospective, multicenter cohort study included 1722 patients from June 2020 to April 2022.
- AKI was diagnosed using KDIGO criteria.
- A DAG was constructed to guide confounder adjustment, followed by Poisson regression to estimate mortality risk.
Main Results:
- 30.7% of patients developed AKI, with significantly higher mortality (58.1%) compared to those without AKI (19.6%).
- Adjusted incidence rate ratios (IRRs) for in-hospital mortality were 1.25 (Stage 1), 1.62 (Stage 2), and 1.64 (Stage 3) for AKI stages.
- DAG analysis identified a minimal sufficient adjustment set for robust causal estimation.
Conclusions:
- AKI is an independent predictor of increased mortality in COVID-19 patients.
- The study demonstrates the utility of DAGs in strengthening causal inference in observational studies.
- DAGs offer a rigorous method to identify confounders and avoid mediator bias, enhancing the validity of findings when RCTs are not feasible.
Background:
Acute kidney injury (AKI) is a common complication in patients affected by COVID-19 and has been strongly associated with increased mortality. However, its independent contribution remains debated. This study aimed to evaluate the independent association using a directed acyclic graph-based approach.
Methods:
Retrospective, multicenter cohort study in Medellín, Colombia, from June 2020 to April 2022. AKI was defined according to KDIGO criteria. A directed acyclic graph was constructed to map the hypothesized causal relationship between AKI and mortality, integrating evidence from a comprehensive literature review and expert´s consensus. A Poisson regression model with robust variance was applied to estimate adjusted incidence rate ratios (IRRs) for mortality.
Results:
A total of 1722 patients were included, of whom 30.7% developed AKI. Mortality was higher among patients with AKI (58.1% vs. 19.6%). A directed acyclic graph was used to identify a minimal sufficient adjustment set for confounding control. After adjustment, the IRRs for in-hospital mortality were 1.25 (95% CI: 1.09-1.43) for stage 1, 1.62 (95% CI: 1.35-1.93) for stage 2, and 1.64 (95% CI: 1.46-1.85) for stage 3.
Conclusions:
AKI is independently and significantly associated with an increased risk of mortality in COVID-19 patients. This study makes a novel contribution by applying directed acyclic graphs to enhance causal inference. Directed acyclic graphs provide a rigorous framework for identifying true confounders and avoiding inappropriate adjustment for mediators, thereby reducing bias and improving the validity of causal estimates. In clinical settings where randomized controlled trials are not feasible, the use of directed acyclic graphs represents a robust alternative for exploring causal relationships.
Related Concept Videos
Acute Kidney Injury I: Introduction
Acute Kidney Injury II: Pathophysiology
Acute Kidney Injury IV: Diagnostic Studies and Prevention
Acute Kidney Injury V: Interprofessional Care
Acute Kidney Injury III: Clinical Manifestations
Acute Kidney Injury VI: Nursing Management

