ArticleRenal failure2025
Development and validation of a nomogram for predicting the occurrence of acute kidney injury in patients with pulmonary embolism.
Article in Renal failure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Article
- Relationship Between the Lactate-to-Albumin Ratio and Acute Kidney Injury in Patients with Pulmonary Embolism: A Retrospective Cohort Study.Medicina (Kaunas, Lithuania) · 2026Article
- Development and validation of a predictive nomogram for ventilator-associated pneumonia in patients with traumatic brain injury: based on the MIMIC-IV database.Journal of thoracic disease · 2026Article
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10 authors.
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Abstract
backgroundPulmonary embolism (PE) is associated with acute kidney injury (AKI). This study aimed to develop a nomogram to predict AKI in PE patients admitted to the intensive care unit.
methodsThe data of patients with PE were obtained from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) and the eICU Collaborative Research Database, with AKI as the primary outcome. Patients from MIMIC-IV were divided into training (80%) and internal validation (20%) cohorts, and external validation was performed using the eICU. Independent risk factors for AKI were identified using univariable logistic regression and stepwise logistic regression. A nomogram was constructed based on the stepwise analysis. Its performance was evaluated using the receiver operating characteristic (ROC) area under the curve (AUC), calibration plots, decision curve analysis (DCA), and sensitivity analysis, and compared to the simplified acute physiology score (SAPS) II score.
resultsSix independent risk factors for AKI were identified. The nomogram's AUC was 0.717 in the training cohort, 0.758 in the internal validation cohort, and 0.889 in the external validation cohort. The AUC of the nomogram was higher than the SAPS II score (
conclusionThe nomogram might help clinicians identify PE patients at risk for developing AKI and increase attention to these patients. It was externally validated in the eICU cohort and demonstrated good predictive ability.
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