Variation in Risk and Mortality of Acute Kidney Injury in Critically Ill Patients: A Multicenter Study

2015 ◽  
Vol 41 (1) ◽  
pp. 81-88 ◽  
Author(s):  
Nattachai Srisawat ◽  
Florentina E. Sileanu ◽  
Raghavan Murugan ◽  
Rinaldo Bellomo ◽  
Paolo Calzavacca ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Hospital Mortality ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Odds Ratio ◽  
Disease Incidence ◽  
Kidney Injury ◽  
Severity Of Illness ◽  
Process Of Care ◽  
Residual Confounding

Background: Despite standardized definitions of acute kidney injury (AKI), there is wide variation in the reported rates of AKI and hospital mortality for patients with AKI. Variation could be due to actual differences in disease incidence, clinical course, or a function of data ascertainment and application of diagnostic criteria. Using standard criteria may help determine and compare the risk and outcomes of AKI across centers. Methods: In this cohort study of critically ill patients admitted to the intensive care units at six hospitals in four countries, we used KDIGO criteria to define AKI. The main outcomes were the occurrence of AKI and hospital mortality. Results: Of the 15,132 critically ill patients, 32% developed AKI based on serum creatinine criteria. After adjusting for differences in age, sex, and severity of illness, the odds ratio for AKI continued to vary across centers (odds ratio (OR), 2.57-6.04, p < 0.001). The overall, crude hospital mortality of patients with AKI was 27%, which also varied across centers after adjusting for KDIGO stage, differences in age, sex, and severity of illness (OR, 1.13-2.20, p < 0.001). The severity of AKI was associated with incremental mortality risk across centers. Conclusions: In this study, the absolute and severity-adjusted rates of AKI and hospital mortality rates for AKI varied across centers. Future studies should examine whether variation in the risk of AKI among centers is due to differences in clinical practice or process of care or residual confounding due to unmeasured factors.

scholarly journals High-dose versus low-dose haemofiltration for the treatment of critically ill patients with acute kidney injury: an updated systematic review and meta-analysis

BMJ Open ◽  
2017 ◽  
Vol 7 (10) ◽  
pp. e014171 ◽  
Author(s):  
Peng Li ◽  
Li-ping Qu ◽  
Dong Qi ◽  
Bo Shen ◽  
Yi-mei Wang ◽  
...  
Keyword(s):  
Systematic Review ◽  
Acute Kidney Injury ◽  
Hospital Mortality ◽  
Hospital Stay ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Low Dose ◽  
Meta Analysis ◽  
Kidney Injury ◽  
High Dose

ObjectiveThe purpose of this study was to perform a systematic review and meta-analysis to evaluate the effect of high-dose versus low-dose haemofiltration on the survival of critically ill patients with acute kidney injury (AKI). We hypothesised that high-dose treatments are not associated with a higher risk of mortality.DesignMeta-analysis.SettingRandomised controlled trials and two-arm prospective and retrospective studies were included.ParticipantsCritically ill patients with AKI.InterventionsContinuous renal replacement therapy.Primary and secondary outcome measuresPrimary outcomes: 90-day mortality, intensive care unit (ICU) mortality, hospital mortality; secondary outcomes: length of ICU and hospital stay.ResultEight studies including 2970 patients were included in the analysis. Pooled results showed no significant difference in the 90-mortality rate between patients treated with high-dose or low-dose haemofiltration (pooled OR=0.90, 95% CI 0.73 to 1.11, p=0.32). Findings were similar for ICU (pooled OR=1.12, 95% CI 0.94 to 1.34, p=0.21) and hospital mortality (pooled OR=1.03, 95% CI 0.81 to 1.30, p=0.84). Length of ICU and hospital stay were similar between high-dose and low-dose groups. Pooled results are not overly influenced by any one study, different cut-off points of prescribed dose or different cut-off points of delivered dose. Meta-regression analysis indicated that the results were not affected by the percentage of patients with sepsis or septic shock.ConclusionHigh-dose and low-dose haemofiltration produce similar outcomes with respect to mortality and length of ICU and hospital stay in critically ill patients with AKI.This study was not registered at the time the data were collected and analysed. It has since been registered on 17 February 2017 athttp://www.researchregistry.com/, registration number: reviewregistry211.

scholarly journals The Burden of Hyperbilirubinemia in Critically Ill Patients with Hematological Malignancies: Post-hoc Analysis of a Prospective Multicenter Multinational Study

2020 ◽  
Author(s):  
Magali Bisbal ◽  
Michael Darmon ◽  
Colombe Saillard ◽  
Vincent Mallet ◽  
Charlotte Mouliade ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
Critically Ill ◽  
Cancer Progression ◽  
Critically Ill Patients ◽  
Odds Ratio ◽  
Adjusted Odds Ratio ◽  
Hematological Malignancies ◽  
Severity Of Illness ◽  
Rank Test ◽  
Total Serum

Abstract BackgroundThe evidence on the clinical significance of hyperbilirubinemia (HB) in critically ill patients with hematological malignancies is scarce. We therefore studied its burden in a 2010-2011 Franco-Belgian multicenter prospective study designed to evaluate the prognosis of these patients.Patients and methodsThe cohort comprised 893 patients from 17 centers, 61% men, with a median (interquartile range) age of 60 (49 – 70) years, and preferentially with underlying non-Hodgkin lymphoma (32%) or acute myeloid leukemia (27%). HB was defined as a total serum bilirubin ≥ 33 µmol/L at intensive care unit (ICU) admission. Our main goal was to evaluate the relationship between HB and outcome of critically ill hematological patients. Causes and management of HB in the ICU were analyzed as secondary end points.ResultsHB concerned 185 (21%) patients. Cyclosporine and antimicrobial treatments, ascites and cirrhosis, acute kidney injury, neutropenia, and myeloma (adjusted odd ratio [aOR] 0.38, p=0.006) were risk factors. Hospital mortality was 56.3% and 36.3% in patients with and without HB, respectively (p<0.0001 with the log-rank test). Adjusted for severity of illness, the adjusted odds ratio (95% confidence interval) of HB for in-hospital mortality was 1.86 (1.28, 2.72). HB was overlooked by the ICU team for 92 (53%) patients. Overwise, liver workups for HB led to treatment modifications in 32 (40%) patients, including chemotherapy for cancer progression that was associated with reduced mortality with an adjusted odds ratio of 0.23, (p=0.02).ConclusionHB is associated with outcome of critically ill hematological adult patients and should be systematically explored and treated.

scholarly journals Fluctuations in Serum Chloride and Acute Kidney Injury among Critically Ill Patients: A Retrospective Association Study

2019 ◽  
Vol 8 (4) ◽  
pp. 447 ◽  
Author(s):  
Tak Kyu Oh ◽  
In-Ae Song ◽  
Young-Tae Jeon ◽  
You Hwan Jo
Keyword(s):  
Acute Kidney Injury ◽  
Confidence Interval ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Odds Ratio ◽  
Kidney Injury ◽  
Icu Admission ◽  
Serum Chloride ◽  
Increased Risk ◽  
The Difference

Exposure to dyschloremia among critically ill patients is associated with an increased risk of acute kidney injury (AKI). We aimed to investigate how fluctuations in serum chloride (Cl−) are associated with the development of AKI in critically ill patients. We retrospectively analyzed medical records of adult patients admitted to the intensive care unit (ICU) between January 2012 and December 2017. Positive and negative fluctuations in Cl− were defined as the difference between the baseline Cl- and maximum Cl- levels and the difference between the baseline Cl− and minimum Cl− levels measured within 72 h after ICU admission, respectively. In total, 19,707 patients were included. The odds of developing AKI increased 1.06-fold for every 1 mmol L−1 increase in the positive fluctuations in Cl− (odds ratio: 1.06; 95% confidence interval: 1.04 to 1.08; p < 0.001) and 1.04-fold for every 1 mmol L−1 increase in the negative fluctuations in Cl− (odds ratio: 1.04; 95% confidence interval: 1.02 to 1.06; p < 0.001). Increases in both the positive and negative fluctuations in Cl- after ICU admission were associated with an increased risk of AKI. Furthermore, these associations differed based on the functional status of the kidneys at ICU admission or postoperative ICU admission.

scholarly journals Investigate predictive capacity of in-hospital mortality of four severity score systems on critically ill patients with acute kidney injury

2019 ◽  
Vol 67 (8) ◽  
pp. 1103-1109 ◽  
Author(s):  
Yu Gong ◽  
Feng Ding ◽  
Fen Zhang ◽  
Yong Gu
Keyword(s):  
Acute Kidney Injury ◽  
Hospital Mortality ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Kidney Injury ◽  
Mortality Prediction ◽  
Apache Ii ◽  
University Teaching ◽  
Predictive Capacity ◽  
Saps Ii

Although significant improvements have been achieved in the renal replacement therapy of acute kidney injury (AKI), the mortality of patients with AKI remains high. The aim of this study is to prospectively investigate the capacity of Acute Physiology and Chronic Health Evaluation version II (APACHE II), Simplified Acute Physiology Score version II (SAPS II), Sepsis-related Organ Failure Assessment (SOFA) and Acute Tubular Necrosis Individual Severity Index (ATN-ISI) to predict in-hospital mortality of critically ill patients with AKI. A prospective observational study was conducted in a university teaching hospital. 189 consecutive critically ill patients with AKI were selected according Risk, Injury, Failure, Loss, or End-stage kidney disease criteria. APACHE II, SAPS II, SOFA and ATN-ISI counts were obtained within the first 24 hours following admission. Receiver operating characteristic analyses (ROCs) were applied. Area under the ROC curve (AUC) was calculated. Sensitivity and specificity of in-hospital mortality prediction were calculated. In this study, the in-hospital mortality of critically ill patients with AKI was 37.04% (70/189). AUC of APACHE II, SAPS II, SOFA and ATN-ISI was 0.903 (95% CI 0.856 to 0.950), 0.893 (95% CI 0.847 to 0.940), 0.908 (95% CI 0.866 to 0.950) and 0.889 (95% CI 0.841 to 0.937) and sensitivity was 90.76%, 89.92%, 90.76% and 89.08% and specificity was 77.14%, 70.00%, 71.43% and 71.43%, respectively. In this study, it was found APACHE II, SAPS II, SOFA and ATN-ISI are reliable in-hospital mortality predictors of critically ill patients with AKI. Trial registration number: NCT00953992.

scholarly journals The predictive value of red blood cell distribution width and platelet-to -lymphocyte ratio for acute kidney injury in critically ill patients

2021 ◽  
Author(s):  
Yan Tang ◽  
Fen Jiang ◽  
Li Zhang ◽  
Jiaxuan Xiang ◽  
Jie Lei ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Blood Cell ◽  
Hospital Mortality ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Kidney Injury ◽  
Cell Distribution ◽  
Platelet To Lymphocyte Ratio ◽  
Distribution Width ◽  
Red Blood Cell Distribution

Abstract Background Red blood cell distribution width (RDW) and the platelet-to-lymphocyte ratio (PLR) are associated with different types of prognoses in critically ill patients. But, the value of RDW and PLR in predicting the occurrence of acute kidney injury (AKI) in critically ill patients are unknown. The purpose of the study was to explore the associations of RDW and PLR with AKI incidence. Methods Among 1500 adult patients in the intensive care unit (ICU) between January 2016 and December 2019 were enrolled, we examined the associations of baseline RDW and PLR with the risk of AKI development using logistical analysis. In addition, we explored the value of RDW and PLR in predicting in-hospital mortality. Results The study participants included 951 men and 549 women, aged 60.1±16.14 years. The subjects had a mean RDW of 14.65±2.14% and a mean PLR of 188.16±129.2. Overall, 615 (41%) patients were diagnosed with AKI. There were remarkable differences in RDW and the PLR between the AKI and non-AKI groups (P<0.001). After adjustment, the association of RDW with AKI development risk strengthened (OR: 1.28, 95% CI: 1.19-1.36). Moreover, we divided the groups into two subgroups each; the high-RDW (≥14.045%) group had a high risk of developing AKI (OR=5.189, 95% CI: 4.088-6.588), while the high-PLR(≥172.067)group had a risk of developing AKI (OR=9.11,95% CI:7.09-11.71). The areas under the receiver operating characteristic curves (AUCs) for the prediction of AKI incidence based on RDW and PLR were 0.780 (95% CI: 0.755-0.804) and 0.728 (95% CI:0.702-0.754) (all P< 0.001), with cut-off values of 14.045 and 172.067, respectively. Moreover, a higher RDW was associated with a higher rate of hospital mortality (OR: 2.907, 2.190-3.858), and the risk of in-hospital mortality related to PLR was 1.534 (95%CI: 1.179-1.995). The AUC for in-hospital mortality based on RDW was 0.663 (95%CI:0.628-0.698), while the AUC for in-hospital mortality based on the PLR was 0.552 (0.514-0.589). Conclusions A higher RDW related to a higher risk of the occurrence of AKI and in-hospital mortality in ICU.The PLR also showed predictive value for the occurrence of AKI but did not show any clear prediction value of in-hospital mortality.

Transient and Persistent Acute Kidney Injury and the Risk of Hospital Mortality in Critically Ill Patients

2015 ◽  
Vol 43 (8) ◽  
pp. e269-e275 ◽  
Author(s):  
Sophie Perinel ◽  
François Vincent ◽  
Alexandre Lautrette ◽  
Jean Dellamonica ◽  
Christophe Mariat ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Hospital Mortality ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Kidney Injury

scholarly journals Severe Acute Kidney Injury in Critically Ill Patients with COVID-19 Admitted to ICU: Incidence, Risk Factors, and Outcomes

2021 ◽  
Vol 10 (6) ◽  
pp. 1217
Author(s):  
Muriel Ghosn ◽  
Nizar Attallah ◽  
Mohamed Badr ◽  
Khaled Abdallah ◽  
Bruno De Oliveira ◽  
...  
Keyword(s):  
Risk Factors ◽  
Acute Kidney Injury ◽  
Respiratory Failure ◽  
Hospital Mortality ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Kidney Injury ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Incidence Risk

Background: Critically ill patients with COVID-19 are prone to develop severe acute kidney injury (AKI), defined as KDIGO (Kidney Disease Improving Global Outcomes) stages 2 or 3. However, data are limited in these patients. We aimed to report the incidence, risk factors, and prognostic impact of severe AKI in critically ill patients with COVID-19 admitted to the intensive care unit (ICU) for acute respiratory failure. Methods: A retrospective monocenter study including adult patients with laboratory-confirmed severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection admitted to the ICU for acute respiratory failure. The primary outcome was to identify the incidence and risk factors associated with severe AKI (KDIGO stages 2 or 3). Results: Overall, 110 COVID-19 patients were admitted. Among them, 77 (70%) required invasive mechanical ventilation (IMV), 66 (60%) received vasopressor support, and 9 (8.2%) needed extracorporeal membrane oxygenation (ECMO). Severe AKI occurred in 50 patients (45.4%). In multivariable logistic regression analysis, severe AKI was independently associated with age (odds ratio (OR) = 1.08 (95% CI (confidence interval): 1.03–1.14), p = 0.003), IMV (OR = 33.44 (95% CI: 2.20–507.77), p = 0.011), creatinine level on admission (OR = 1.04 (95% CI: 1.008–1.065), p = 0.012), and ECMO (OR = 11.42 (95% CI: 1.95–66.70), p = 0.007). Inflammatory (interleukin-6, C-reactive protein, and ferritin) or thrombotic (D-dimer and fibrinogen) markers were not associated with severe AKI after adjustment for potential confounders. Severe AKI was independently associated with hospital mortality (OR = 29.73 (95% CI: 4.10–215.77), p = 0.001) and longer hospital length of stay (subhazard ratio = 0.26 (95% CI: 0.14–0.51), p < 0.001). At the time of hospital discharge, 74.1% of patients with severe AKI who were discharged alive from the hospital recovered normal or baseline renal function. Conclusion: Severe AKI was common in critically ill patients with COVID-19 and was not associated with inflammatory or thrombotic markers. Severe AKI was an independent risk factor of hospital mortality and hospital length of stay, and it should be rapidly recognized during SARS-CoV-2 infection.

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