ArticleCritical care (London, England)2015
Predicting one-year mortality of critically ill patients with early acute kidney injury: data from the prospective multicenter FINNAKI study.
Article in Critical care (London, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 21 citations in OpenAlex.
- The effects of timing onset and progression of AKI on the clinical outcomes in AKI patients with sepsis: a prospective multicenter cohort study.Renal failure · 2023Article
- Magnitude and associated factors of acute kidney injury among preterm neonates admitted to public hospitals in Bahir Dar city, Ethiopia 2022: cross-sectional study.BMC pediatrics · 2023Article
- Weak cough is associated with increased mortality in COPD patients with scheduled extubation: a two-year follow-up study.Respiratory research · 2022Observational
- Establishment of a prognostic model based on the Sequential Organ Failure Assessment score for patients with first-time acute myocardial infarction.The Journal of international medical research · 2021Article
- Novel risk models to predict acute kidney disease and its outcomes in a Chinese hospitalized population with acute kidney injury.Scientific reports · 2020Article
- Burden of acute kidney injury and 90-day mortality in critically ill patients.BMC nephrology · 2019Observational
- Enhancing Prediction Models for One-Year Mortality in Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome.Studies in health technology and informatics · 2019Article
- Acute Kidney Injury in Critically Ill Patients After Noncardiac Major Surgery: Early Versus Late Onset.Critical care medicine · 2019Article
- Extracorporeal Membrane Oxygenation Improving Survival and Alleviating Kidney Injury in a Swine Model of Cardiac Arrest Compared to Conventional Cardiopulmonary Resuscitation.Chinese medical journal · 2018Article
- Predictors of Mortality in Acute Kidney Injury Patients Admitted to Medicine Intensive Care Unit in a Rural Tertiary Care Hospital.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2018Article
- Toll‑like receptor 4 contributes to acute kidney injury after cardiopulmonary resuscitation in mice.Molecular medicine reports · 2016Article
- The predictive value of early acute kidney injury for long-term survival and quality of life of critically ill patients.Critical care (London, England) · 2016Article
- Outcomes of patients with acute kidney injury with regard to time of initiation and modality of renal replacement therapy - first data from the Silesian Registry of Intensive Care Units.Kardiochirurgia i torakochirurgia polska = Polish journal of cardio-thoracic surgery · 2016Article
- Utilizing electronic health records to predict acute kidney injury risk and outcomes: workgroup statements from the 15(th) ADQI Consensus Conference.Canadian journal of kidney health and disease · 2016Review
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Authors and funding
10 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionNo predictive models for long-term mortality in critically ill patients with acute kidney injury (AKI) exist. We aimed to develop and validate two predictive models for one-year mortality in patients with AKI based on data (1) on intensive care unit (ICU) admission and (2) on the third day (D3) in the ICU.
methodsThis substudy of the FINNAKI study comprised 774 patients with early AKI (diagnosed within 24 hours of ICU admission). We selected predictors a priori based on previous studies, clinical judgment, and differences between one-year survivors and non-survivors in patients with AKI. We validated the models internally with bootstrapping.
resultsOf 774 patients, 308 (39.8%, 95% confidence interval (CI) 36.3 to 43.3) died during one year. Predictors of one-year mortality on admission were: advanced age, diminished premorbid functional performance, co-morbidities, emergency admission, and resuscitation or hypotension preceding ICU admission. The area under the receiver operating characteristic curve (AUC) (95% CI) for the admission model was 0.76 (0.72 to 0.79) and the mean bootstrap-adjusted AUC 0.75 (0.74 to 0.75). Advanced age, need for mechanical ventilation on D3, number of co-morbidities, higher modified SAPS II score, the highest bilirubin value by D3, and the lowest base excess value on D3 remained predictors of one-year mortality on D3. The AUC (95% CI) for the D3 model was 0.80 (0.75 to 0.85) and by bootstrapping 0.79 (0.77 to 0.80).
conclusionsThe prognostic performance of the admission data-based model was acceptable, but not good. The D3 model for one-year mortality performed fairly well in patients with early AKI.
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