scholarly journals Initiation of renal replacement therapy in patients with acute kidney injury and severe lactic acidosis

Critical Care ◽  
2008 ◽  
Vol 12 (Suppl 2) ◽  
pp. P479
Author(s):  
S Vuylsteke ◽  
A Dhondt ◽  
C Danneels ◽  
J De Waele ◽  
S Blot ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Renal Replacement Therapy ◽  
Lactic Acidosis ◽  
Replacement Therapy ◽  
Kidney Injury ◽  
Severe Lactic Acidosis

Severe lactic acidosis in critically ill patients with acute kidney injury treated with renal replacement therapy

2014 ◽  
Vol 29 (4) ◽  
pp. 650-655 ◽  
Author(s):  
Wouter De Corte ◽  
S. Vuylsteke ◽  
Jan J. De Waele ◽  
Annemieke W. Dhondt ◽  
Johan Decruyenaere ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Renal Replacement Therapy ◽  
Lactic Acidosis ◽  
Replacement Therapy ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Kidney Injury ◽  
Severe Lactic Acidosis

Preoperative Low Serum Albumin Levels Increase the Requirement of Renal Replacement Therapy after Cardiac Surgery

2016 ◽  
Vol 19 (3) ◽  
pp. 123 ◽  
Author(s):  
Orhan Findik ◽  
Ufuk Aydin ◽  
Ozgur Baris ◽  
Hakan Parlar ◽  
Gokcen Atilboz Alagoz ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Regression Analysis ◽  
Cardiac Surgery ◽  
Renal Replacement Therapy ◽  
Serum Albumin ◽  
Replacement Therapy ◽  
Kidney Injury ◽  
Preoperative Serum ◽  
Group I ◽  
Group Ii

<strong>Background:</strong> Acute kidney injury is a common complication of cardiac surgery that increases morbidity and mortality. The aim of the present study is to analyze the association of preoperative serum albumin levels with acute kidney injury and the requirement of renal replacement therapy after isolated coronary artery bypass graft surgery (CABG).<br /><strong>Methods:</strong> We retrospectively reviewed the prospectively collected data of 530 adult patients who underwent isolated CABG surgery with normal renal function. The perioperative clinical data of the patients included demographic data, laboratory data, length of stay, in-hospital complications and mortality. The patient population was divided into two groups: group I patients with preoperative serum albumin levels &lt;3.5 mg/dL; and group II pateints with preoperative serum albumin levels ≥3.5 mg/dL.<br /><strong>Results:</strong> There were 413 patients in group I and 117 patients in group II. Postoperative acute kidney injury (AKI) occured in 33 patients (28.2%) in group I and in 79 patients (19.1%) in group II. Renal replacement therapy was required in 17 patients (3.2%) (8 patients from group I; 9 patients from group II; P = .018). 30-day mortality occurred in 18 patients (3.4%) (10 patients from group I; 8 patients from group II; P = .037). Fourteen of these patients required renal replacement therapy. Logistic regression analysis revealing the presence of lower serum albumin levels preoperatively was shown to be associated with increased incidence of postoperative AKI (OR: 1.661; 95% CI: 1.037-2.661; <br />P = .035). Logistic regression analysis also revealed that DM (OR: 3.325; 95% CI: 2.162-5.114; P = .000) was another independent risk factor for AKI after isolated CABG. <br /><strong>Conclusion:</strong> Low preoperative serum albumin levels result in severe acute kidney injury and increase the rate of renal replacement therapy and mortality after isolated CABG.

scholarly journals Renal replacement therapy in critical care in patients with acute kidney injury

2018 ◽  
Vol 51 (2) ◽  
pp. 141-148
Author(s):  
Shigeo Negi ◽  
Daisuke Koreeda ◽  
Masaki Higashiura ◽  
Takuro Yano ◽  
Sou Kobayashi ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Critical Care ◽  
Renal Replacement Therapy ◽  
Replacement Therapy ◽  
Kidney Injury

scholarly journals Comparison of Approaches for Prediction of Renal Replacement Therapy-Free Survival in Patients with Acute Kidney Injury

2021 ◽  
pp. 1-7
Author(s):  
Pattharawin Pattharanitima ◽  
Akhil Vaid ◽  
Suraj K. Jaladanki ◽  
Ishan Paranjpe ◽  
Ross O’Hagan ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Renal Replacement Therapy ◽  
Replacement Therapy ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Kidney Injury ◽  
Support Vector ◽  
Adaptive Boosting ◽  
Free Survival ◽  
Extreme Gradient Boosting

Background/Aims: Acute kidney injury (AKI) in critically ill patients is common, and continuous renal replacement therapy (CRRT) is a preferred mode of renal replacement therapy (RRT) in hemodynamically unstable patients. Prediction of clinical outcomes in patients on CRRT is challenging. We utilized several approaches to predict RRT-free survival (RRTFS) in critically ill patients with AKI requiring CRRT. Methods: We used the Medical Information Mart for Intensive Care (MIMIC-III) database to identify patients ≥18 years old with AKI on CRRT, after excluding patients who had ESRD on chronic dialysis, and kidney transplantation. We defined RRTFS as patients who were discharged alive and did not require RRT ≥7 days prior to hospital discharge. We utilized all available biomedical data up to CRRT initiation. We evaluated 7 approaches, including logistic regression (LR), random forest (RF), support vector machine (SVM), adaptive boosting (AdaBoost), extreme gradient boosting (XGBoost), multilayer perceptron (MLP), and MLP with long short-term memory (MLP + LSTM). We evaluated model performance by using area under the receiver operating characteristic (AUROC) curves. Results: Out of 684 patients with AKI on CRRT, 205 (30%) patients had RRTFS. The median age of patients was 63 years and their median Simplified Acute Physiology Score (SAPS) II was 67 (interquartile range 52–84). The MLP + LSTM showed the highest AUROC (95% CI) of 0.70 (0.67–0.73), followed by MLP 0.59 (0.54–0.64), LR 0.57 (0.52–0.62), SVM 0.51 (0.46–0.56), AdaBoost 0.51 (0.46–0.55), RF 0.44 (0.39–0.48), and XGBoost 0.43 (CI 0.38–0.47). Conclusions: A MLP + LSTM model outperformed other approaches for predicting RRTFS. Performance could be further improved by incorporating other data types.

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