ArticleJournal of nephrology2014
Urine output on ICU entry is associated with hospital mortality in unselected critically ill patients.
Article in Journal of nephrology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03930160 (Logistic Organ Dysfunction System Role in Predicting 30-day Mortality Outcome in Intensive Care Unit of dr. Cipto Mangunkusumo General Hospital Patients), which is not on this map. Cited by 25 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Logistic Organ Dysfunction System Role in Predicting 30-day Mortality Outcome in Intensive Care Unit of dr. Cipto Mangunkusumo General Hospital Patients
Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Targeting urine output and 30-day mortality in goal-directed therapy: a systematic review with meta-analysis and meta-regression.BMC anesthesiology · 2017Pooled it
- Urine output as one of the most important features in differentiating in-hospital death among patients receiving extracorporeal membrane oxygenation: a random forest approach.European journal of medical research · 2023Trial
- Fluid intake-related association between urine output and mortality in acute respiratory distress syndrome.Respiratory research · 2020Trial
- The effectiveness of Corticosteroids on mortality in patients with acute respiratory distress syndrome or acute lung injury: a secondary analysis.Scientific reports · 2015Trial
- Prediction model for critically ill patients with acute respiratory distress syndrome.PloS one · 2015Trial
- Machine Learning-Driven Prediction of Intensive Care Units Mortality and Length of Stay: A 11-Year Retrospective Study in Hong Kong Public Hospitals.Journal of medical systems · 2026Article
- Impact of 24-hour urine output trajectories on intra-abdominal hypertension risk in acute pancreatitis patients: Insights from MIMIC-IV database.Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association · 2026Article
- The impact of urine output trajectory on clinical outcomes in female patients with genitourinary infections in the intensive care unit.Scientific reports · 2026Article
- Knockoff-ML: a knockoff machine learning framework for controlled variable selection and risk stratification in electronic health record data.NPJ digital medicine · 2025Article
- Toward the standardization of big datasets of urine output for AKI analysis: a multicenter validation study.Scientific reports · 2025Article
- Urine Output as a Novel Predictor for In-Hospital Mortality in Acute Pulmonary Embolism Patients: Training With the MIMIC Database and Validation With Independent Cohort.Cardiovascular therapeutics · 2025Article
- Linear Correlation Between Mean Arterial Pressure and Urine Output in Critically Ill Patients.Critical care explorations · 2024Observational
- Relationship between anion gap and in-hospital mortality in intensive care patients with liver failure: a retrospective propensity score matching analysis.American journal of translational research · 2024Article
- Article
- Urine output for predicting in-hospital mortality of intensive care patients with cardiogenic shock.Heliyon · 2023Article
- Relationship Between Initial Urine Output and Mortality in Patients Hospitalized in Cardiovascular Intensive Care Units: More Is Not Better.Frontiers in cardiovascular medicine · 2022Article
- Urine Output Is Associated With In-hospital Mortality in Intensive Care Patients With Septic Shock: A Propensity Score Matching Analysis.Frontiers in medicine · 2021Article
- The clinical relevance of oliguria in the critically ill patient: analysis of a large observational database.Critical care (London, England) · 2020Observational
- Hotspot Analysis of Sepsis Literature.Medical science monitor : international medical journal of experimental and clinical research · 2018Article
- Diuretics for All?Turkish journal of anaesthesiology and reanimation · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectiveUrine output (UO) is routinely measured in the intensive care unit (ICU) but its prognostic value remains debated. The study aimed to investigate the association between day 1 UO and hospital mortality.
methodsClinical data were abstracted from the Multiparameter Intelligent Monitoring in Intensive Care II (version 2.6) database. UO was recorded for the first 24 h after ICU entry, and was classified into three categories: UO >0.5, 0.3-0.5 and ≤0.3 ml/kg per hour. The primary endpoint was the hospital mortality. Four models were built to adjust for the hazards ratio of mortality.
resultsA total of 21,207 unselected ICU patients including 2,401 non-survivors and 18,806 survivors were included (mortality rate 11.3 %). Mortality rate increased progressively across UO categories: >0.5 (7.67 %), 0.3-0.5 (11.27 %) and ≤0.3 ml/kg/h (18.29 %), and this relationship remained statistically significant after rigorous control of confounding factors with the Cox proportional hazards regression model. With UO >0.5 as the referent group, the hazards ratios for UO 0.3-0.5 and UO ≤0.3 were 1.41 (95 % CI 1.29-1.54) and 1.52 (95 % CI 1.38-1.67), respectively.
conclusionUO obtained on ICU entry is an independent predictor of mortality irrespective of diuretic use. It would be interesting to examine whether strategies to increase UO would improve clinical outcome.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.