ArticleWorld journal of critical care medicine2015
Serum bicarbonate may independently predict acute kidney injury in critically ill patients: An observational study.
Article in World journal of critical care medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 19 citations in OpenAlex.
- Machine learning models for predicting renal injury in patients with gout.Renal failure · 2025Article
- Incidence, risk factors and outcomes of acute kidney injury in surgical intensive care unit octogenarians at the Jordan University Hospital.BMC geriatrics · 2023Article
- Stratification of Acute Kidney Injury Risk, Disease Severity, and Outcomes by Electrolyte Disturbances.Journal of clinical medicine research · 2023Review
- Predicting Risk Factors of Acute Kidney Injury in the First 7 Days after Admission: Analysis of a Group of Critically Ill Patients.Cardiovascular therapeutics · 2022Article
- Lower serum bicarbonate is associated with an increased risk of acute kidney injury.Journal of nephrology · 2021Article
- Assessment of acute kidney injury risk using a machine-learning guided generalized structural equation model: a cohort study.BMC nephrology · 2021Article
- Clinical and ultrasound variables for early diagnosis of septic acute kidney injury in bitches with pyometra.Scientific reports · 2020Article
- A deep learning backcasting approach to the electrolyte, metabolite, and acid-base parameters that predict risk in ICU patients.PloS one · 2020Article
- Short-term and long-term effects of low serum bicarbonate level at admission in hospitalised patients.Scientific reports · 2019Article
- The National Early Warning Score and its subcomponents recorded within ±24 h of emergency medical admission are poor predictors of hospital-acquired acute kidney injury.Clinical medicine (London, England) · 2018Article
- Preoperative Low Serum Bicarbonate Levels Predict Acute Kidney Injury After Cardiac Surgery.Medicine · 2016Observational
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimTo explore whether serum bicarbonate at admission to intensive care unit (ICU) predicted development of acute kidney injury (AKI).
methodsWe studied all patients admitted to our ICU over a 2 year period (February 2010 to 2012). The ICU has a case mix of medical and surgical patients excluding cardiac surgical, trauma and neurosurgical patients. We analysed 2035 consecutive patients admitted to ICU during the study period. Data were collected by two investigators independently and in duplicate using a standardised spread sheet to ensure accuracy. Ambiguous data were checked for accuracy where indicated. AKI was defined using the Kidney Disease Improving Global Outcomes criteria. Patients were divided into two groups; patients who developed AKI or those who did not, in order to compare the baseline characteristics, and laboratory and physiologic data of the two cohorts. Regression analysis was used to identify if serum bicarbonate on admission predicted the development of AKI.
resultsOf 2036 patients 152 (7.5%) were excluded due to missing data. AKI developed in 43.1% of the patients. The AKI group, compared to the non-AKI group, was sicker based on their lower systolic, diastolic and mean arterial pressures and a higher acute physiology and chronic health evaluation (APACHE) III and SAPS II scores. Moreover, patients who developed AKI had more co-morbidities and a higher proportion of patients who developed AKI required mechanical ventilation. The multi-regression analysis of independent variables showed that serum bicarbonate on admission (OR = 0.821; 95%CI: 0.796-0.846; P < 0.0001), APACHE III (OR = 1.011; 95%CI: 1.007-1.015; P < 0.0001), age (OR = 1.016; 95%CI: 1.008-1.024; P < 0.0001) and presence of sepsis at ICU admission (OR = 2.819; 95%CI: 2.122-23.744; P = 0.004) were each significant independent predictors of AKI. The area under the ROC curve was 0.8 (95%CI: 0.78-0.83), thereby demonstrating that the predictive model has relatively good discriminating power for predicting AKI.
conclusionSerum bicarbonate on admission may independently be used to make a diagnosis of AKI.
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