ArticleJournal of translational medicine2021
Influence of the trajectory of the urine output for 24 h on the occurrence of AKI in patients with sepsis in intensive care unit.
Article in Journal of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association between stress hyperglycemia ratio and all-cause mortality among ICU patients with sepsis: a systematic review and meta-analysis.Frontiers in medicine · 2025Pooled it
- Construction and evaluation of a risk prediction model for pulmonary infection-associated acute kidney injury in intensive care units.Clinical and translational science · 2023Trial
- Article
- Article
- Impact of 24-hour urine output trajectories on 28-day mortality in people with urinary tract infection: based on the MIMIC-IV database.BMC infectious diseases · 2026Article
- Group-based trajectory modeling of blood pressure reactivity and mortality in septic patients: a retrospective study of the MIMIC-IV database.BMC infectious diseases · 2026Article
- Early Prediction of Delirium in Postcardiac Surgery Patients: Machine Learning Model Development and External Validation.JMIR medical informatics · 2026Article
- The impact of urine output trajectory on clinical outcomes in female patients with genitourinary infections in the intensive care unit.Scientific reports · 2026Article
- Prediction of hospital mortality in sepsis-associated acute kidney injury using a machine-learning approach: a multicenter study using SHAP interpretability analysis.Clinical kidney journal · 2026Article
- Heart failure subphenotypes based on mean arterial pressure trajectory identify patients at increased risk of acute kidney injury.Renal failure · 2025Article
- Machine learning-derived multivariate renal function trajectories in acute kidney injury in critically ill patients: a multicentre retrospective study.Clinical kidney journal · 2025Article
- Significant adverse prognostic events in patients with urosepsis: a machine learning based model development and validation study.Frontiers in cellular and infection microbiology · 2025Article
- Influence of age-adjusted shock index trajectories on 30-day mortality for critical patients with septic shock.Frontiers in medicine · 2025Article
- Effects of 24-hour urine-output trajectories on the risk of acute kidney injury in critically ill patients with cirrhosis: a retrospective cohort analysis.Renal failure · 2024Article
- Reduction in NGAL at 48 h predicts the progression to CKD in patients with septic associated AKI: a single-center clinical study.International urology and nephrology · 2024Article
- Prognostic value of oxygen saturation index trajectory phenotypes on ICU mortality in mechanically ventilated patients: a multi-database retrospective cohort study.Journal of intensive care · 2023Article
- The blood pressure targets in sepsis patients with acute kidney injury: An observational cohort study of multiple ICUs.Frontiers in immunology · 2022Observational
- The Association Between Bronchoscopy and the Prognoses of Patients With Ventilator-Associated Pneumonia in Intensive Care Units: A Retrospective Study Based on the MIMIC-IV Database.Frontiers in pharmacology · 2022Article
- Effect of First Trough Vancomycin Concentration on the Occurrence of AKI in Critically Ill Patients: A Retrospective Study of the MIMIC-IV Database.Frontiers in medicine · 2022Article
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Authors and funding
7 authors.
Funding
Abstract
backgroundSepsis-associated acute kidney injury (S-AKI) is a common and life-threatening complication in hospitalized and critically ill patients. This condition is an independent cause of death. This study was performed to investigate the correlation between the trajectory of urine output within 24 h and S-AKI.
methodsPatients with sepsis were studied retrospectively based on the Medical Information Mart for Intensive Care IV. Latent growth mixture modeling was used to classify the trajectory of urine output changes within 24 h of sepsis diagnosis. The outcome of this study is AKI that occurs 24 h after sepsis. Cox proportional hazard model, Fine-Gray subdistribution proportional hazard model, and doubly robust estimation method were used to explore the risk of AKI in patients with different trajectory classes.
resultsA total of 9869 sepsis patients were included in this study, and their 24-h urine output trajectories were divided into five classes. The Cox proportional hazard model showed that compared with class 1, the HR (95% CI) values for classes 3, 4, and 5 were 1.460 (1.137-1.875), 1.532 (1.197-1.961), and 2.232 (1.795-2.774), respectively. Competing risk model and doubly robust estimation methods reached similar results.
conclusionsThe trajectory of urine output within 24 h of sepsis patients has a certain impact on the occurrence of AKI. Therefore, in the early treatment of sepsis, close attention should be paid to changes in the patient's urine output to prevent the occurrence of S-AKI.
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