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Six-month survival and quality of life of intensive care patients with acute kidney injury.

ABSTRACT: INTRODUCTION: Acute kidney injury (AKI) has high incidence among the critically ill and associates with dismal outcome. Not only the long-term survival, but also the quality of life (QOL) of patients with AKI is relevant due to substantial burden of care regarding these patients. We aimed to study the long-term outcome and QOL of patients with AKI treated in intensive care units. METHODS: We conducted a predefined six-month follow-up of adult intensive care unit (ICU) patients from the prospective, observational, multi-centre FINNAKI study. We evaluated the QOL of survivors with the EuroQol (EQ-5D) questionnaire. We included all participating sites with at least 70% rate of QOL measurements in the analysis. RESULTS: Of the 1,568 study patients, 635 (40.5%, 95% confidence interval (CI) 38.0-43.0%) had AKI according to the Kidney Disease Improving Global Outcomes (KDIGO) criteria. Of the 635 AKI patients, 224 (35.3%), as compared to 154/933 (16.5%) patients without AKI, died within six months. Of the 1,190 survivors, 959 (80.6%) answered the EQ-5D questionnaire at six months. The QOL (median with Interquartile range, IQR) measured with the EQ-5D index and compared to age- and sex-matched general population was: 0.676 (0.520-1.00) versus 0.826 (0.812-0.859) for AKI patients, and 0.690 (0.533-1.00) versus 0.845 (0.812-0.882) for patients without AKI (P?<0.001 in both). The EQ-5D at the time of ICU admission was available for 774 (80.7%) of the six-month respondents. We detected a mean increase of 0.017 for non-AKI and of 0.024 for AKI patients in the EQ-5D index (P?=?0.728). The EQ-5D visual analogue scores (median with IQR) of patients with AKI (70 (50-83)) and patients without AKI (75 (60-87)) were not different from the age- and sex-matched general population (69 (68-73) and 70 (68-77)). CONCLUSIONS: The health-related quality of life of patients with and without AKI was already lower on ICU admission than that of the age- and sex-matched general population, and did not change significantly during critical illness. Patients with and without AKI rate their subjective health to be as good as age and sex-matched general population despite statistically significantly lower QOL indexes measured by EQ-5D.

SUBMITTER: Nisula S

PROVIDER: S-EPMC4056803 | biostudies-other | 2013

REPOSITORIES: biostudies-other

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Six-month survival and quality of life of intensive care patients with acute kidney injury.

Nisula Sara S Vaara Suvi T ST Kaukonen Kirsi-Maija KM Reinikainen Matti M Koivisto Simo-Pekka SP Inkinen Outi O Poukkanen Meri M Tiainen Pekka P Pettilä Ville V Korhonen Anna-Maija AM

Critical care (London, England) 20131022 5

<h4>Introduction</h4>Acute kidney injury (AKI) has high incidence among the critically ill and associates with dismal outcome. Not only the long-term survival, but also the quality of life (QOL) of patients with AKI is relevant due to substantial burden of care regarding these patients. We aimed to study the long-term outcome and QOL of patients with AKI treated in intensive care units.<h4>Methods</h4>We conducted a predefined six-month follow-up of adult intensive care unit (ICU) patients from ...[more]

PMID: 24148658

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Project description:INTRODUCTION: The aim of this study was to evaluate the usefulness of the APACHE II (Acute Physiology and Chronic Health Evaluation II), SAPS II (Simplified Acute Physiology Score II) and SOFA (Sequential Organ Failure Assessment) scores compared to simpler models based on age and Glasgow Coma Scale (GCS) in predicting long-term outcome of patients with moderate-to-severe traumatic brain injury (TBI) treated in the intensive care unit (ICU). METHODS: A national ICU database was screened for eligible TBI patients (age over 15 years, GCS 3-13) admitted in 2003-2012. Logistic regression was used for customization of APACHE II, SAPS II and SOFA score-based models for six-month mortality prediction. These models were compared to an adjusted SOFA-based model (including age) and a reference model (age and GCS). Internal validation was performed by a randomized split-sample technique. Prognostic performance was determined by assessing discrimination, calibration and precision. RESULTS: In total, 1,625 patients were included. The overall six-month mortality was 33%. The APACHE II and SAPS II-based models showed good discrimination (area under the curve (AUC) 0.79, 95% confidence interval (CI) 0.75 to 0.82; and 0.80, 95% CI 0.77 to 0.83, respectively), calibration (P?>?0.05) and precision (Brier score 0.166 to 0.167). The SOFA-based model showed poor discrimination (AUC 0.68, 95% CI 0.64 to 0.72) and precision (Brier score 0.201) but good calibration (P?>?0.05). The AUC of the SOFA-based model was significantly improved after the insertion of age and GCS (?AUC +0.11, P?<?0.001). The performance of the reference model was comparable to the APACHE II and SAPS II in terms of discrimination (AUC 0.77; compared to APACHE II, ?AUC -0.02, P?=?0.425; compared to SAPS II, ?AUC -0.03, P?=?0.218), calibration (P?>?0.05) and precision (Brier score 0.181). CONCLUSIONS: A simple prognostic model, based only on age and GCS, displayed a fairly good prognostic performance in predicting six-month mortality of ICU-treated patients with TBI. The use of the more complex scoring systems APACHE II, SAPS II and SOFA added little to the prognostic performance.

Project description:RationaleUnderstanding long-term outcomes of critically ill patients may inform shared decision-making in the intensive care unit (ICU).ObjectivesTo quantify 6-month functional outcomes of general ICU patients, and develop a multivariable model comprising factors present during the first ICU day to predict which patients will return to their baseline function 6 months later.MethodsWe conducted a prospective cohort study in three medical ICUs and two surgical ICUs in three hospitals. We enrolled patients who spent at least 3 days in the ICU and received mechanical ventilation for more than 48 hours and/or vasoactive infusions for more than 24 hours.ResultsWe measured 6-month outcomes including survival, return to original place of residence, and physical and cognitive function. Of 303 enrolled patients, 299 (98.7%) had complete follow-up at 6 months. Among the 169 patients (56.5%) who survived to 6 months, 82.8% returned home, 81.9% were able to toilet, 71.3% were able to ambulate 10 stairs, and 62.4% reported normal cognition. Overall, 31.1% of patients returned to their baseline status on these measures. Factors associated with not returning to baseline included higher APACHE III score, being a medical patient, older age, nonwhite race, recent hospitalization, prior transplantation, and a history of cancer or of neurologic or liver disease. A model including only these Day 1 factors had good discrimination (area under receiver operating characteristic curve, 0.778; 95% confidence interval, 0.724-0.832) and calibration (difference between observed and expected P value, 0.36).ConclusionsAmong patients spending at least 3 days in an ICU and requiring even brief periods of life-sustaining therapy, nearly one-half will be dead and less than one-third will have returned to their baseline status at 6 months. Of those who survive, the majority of patients will be back at home at 6 months. Future research is needed to validate this multivariable model, including readily available patient characteristics available on the first ICU day, that seems to identify patients who will return to baseline at 6 months.

Project description:BackgroundAcute kidney injury (AKI) represents a significant global health challenge, leading to increased patient distress and financial health care burdens. The development of AKI in intensive care unit (ICU) settings is linked to prolonged ICU stays, a heightened risk of long-term renal dysfunction, and elevated short- and long-term mortality rates. The current diagnostic approach for AKI is based on late indicators, such as elevated serum creatinine and decreased urine output, which can only detect AKI after renal injury has transpired. There are no treatments to reverse or restore renal function once AKI has developed, other than supportive care. Early prediction of AKI enables proactive management and may improve patient outcomes.ObjectiveThe primary aim was to develop a machine learning algorithm, NAVOY Acute Kidney Injury, capable of predicting the onset of AKI in ICU patients using data routinely collected in ICU electronic health records. The ultimate goal was to create a clinical decision support tool that empowers ICU clinicians to proactively manage AKI and, consequently, enhance patient outcomes.MethodsWe developed the NAVOY Acute Kidney Injury algorithm using a hybrid ensemble model, which combines the strengths of both a Random Forest (Leo Breiman and Adele Cutler) and an XGBoost model (Tianqi Chen). To ensure the accuracy of predictions, the algorithm used 22 clinical variables for hourly predictions of AKI as defined by the Kidney Disease: Improving Global Outcomes guidelines. Data for algorithm development were sourced from the Massachusetts Institute of Technology Lab for Computational Physiology Medical Information Mart for Intensive Care IV clinical database, focusing on ICU patients aged 18 years or older.ResultsThe developed algorithm, NAVOY Acute Kidney Injury, uses 4 hours of input and can, with high accuracy, predict patients with a high risk of developing AKI 12 hours before onset. The prediction performance compares well with previously published prediction algorithms designed to predict AKI onset in accordance with Kidney Disease: Improving Global Outcomes diagnosis criteria, with an impressive area under the receiver operating characteristics curve (AUROC) of 0.91 and an area under the precision-recall curve (AUPRC) of 0.75. The algorithm's predictive performance was externally validated on an independent hold-out test data set, confirming its ability to predict AKI with exceptional accuracy.ConclusionsNAVOY Acute Kidney Injury is an important development in the field of critical care medicine. It offers the ability to predict the onset of AKI with high accuracy using only 4 hours of data routinely collected in ICU electronic health records. This early detection capability has the potential to strengthen patient monitoring and management, ultimately leading to improved patient outcomes. Furthermore, NAVOY Acute Kidney Injury has been granted Conformite Europeenne (CE)-marking, marking a significant milestone as the first CE-marked AKI prediction algorithm for commercial use in European ICUs.

Project description:BackgroundThe incidence of acute kidney injury (AKI) is increasing globally and it is much more common than end-stage kidney disease. AKI is associated with high mortality and cost of hospitalisation. Studies of treatments to reduce this high mortality have used differing renal replacement therapy (RRT) modalities and have not shown improvement in the short term. The reported long-term outcomes of AKI are variable and the effect of differing RRT modalities upon them is not clear. We used the prolonged follow-up of a large clinical trial to prospectively examine the long-term outcomes and effect of RRT dosing in patients with AKI.Methods and findingsWe extended the follow-up of participants in the Randomised Evaluation of Normal vs. Augmented Levels of RRT (RENAL) study from 90 days to 4 years after randomization. Primary and secondary outcomes were mortality and requirement for maintenance dialysis, respectively, assessed in 1,464 (97%) patients at a median of 43.9 months (interquartile range [IQR] 30.0-48.6 months) post randomization. A total of 468/743 (63%) and 444/721 (62%) patients died in the lower and higher intensity groups, respectively (risk ratio [RR] 1.04, 95% CI 0.96-1.12, p = 0.49). Amongst survivors to day 90, 21 of 411 (5.1%) and 23 of 399 (5.8%) in the respective groups were treated with maintenance dialysis (RR 1.12, 95% CI 0.63-2.00, p = 0.69). The prevalence of albuminuria among survivors was 40% and 44%, respectively (p = 0.48). Quality of life was not different between the two treatment groups. The generalizability of these findings to other populations with AKI requires further exploration.ConclusionsPatients with AKI requiring RRT in intensive care have high long-term mortality but few require maintenance dialysis. Long-term survivors have a heavy burden of proteinuria. Increased intensity of RRT does not reduce mortality or subsequent treatment with dialysis.Trial registrationwww.ClinicalTrials.govNCT00221013.

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Six-month survival and quality of life of intensive care patients with acute kidney injury.

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Six-month survival and quality of life of intensive care patients with acute kidney injury.

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