scholarly journals Hemodynamic Tolerability of Sustained Low Efficiency Dialysis in Critically Ill Patients with Acute Kidney Injury

2017 ◽  
Vol 6 (2) ◽  
pp. 84-90
Author(s):  
Kaniz Fatema ◽  
Mohammad Omar Faruq ◽  
Md Mozammel Hoque ◽  
ASM Areef Ahsan ◽  
Parvin Akter Khanam ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Renal Replacement Therapy ◽  
Mean Arterial Pressure ◽  
Arterial Pressure ◽  
Replacement Therapy ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Kidney Injury ◽  
Intermittent Hemodialysis ◽  
Low Efficiency

Background: Sustained low efficiency dialysis (SLED) has been evolved in recent years as technical hybrid of continuous renal replacement therapy and intermittent hemodialysis. It offers optimized hemodynamic stability of the critically ill patients with acute kidney injury (AKI). Our aim was to evaluate the hemodynamic tolerability of SLED in hemodynamically unstable patients with AKI.Methods: This prospective experimental study was conducted in Intensive Care Unit of BIRDEM General Hospital, Dhaka over a period of one year.Results: Forty three hemodynamically unstable patients with AKI were treated with one fifty three sessions of SLED. Mean arterial pressure of the patients before starting dialysis were 80.58±10.92 mmHg and 69.8% patients were on inotrope support. There were no significant differences (p>0.05) in mean arterial pressure during the procedure. No significant changes (p>0.05) occurred in pulse, respiratory rate and temperature during the sessions. Only thirty six out of 153 SLED sessions were associated with complications and hypotension was the commonest one (20.26%). Hypotensive episodes were effectively managed with addition or dose escalation of inotropes. No dialysis had to be discontinued because of hypotension/arrhythmia.Conclusion: SLED is an effective renal replacement therapy for the critically ill patients with AKI which maintains their hemodynamic stability.Birdem Med J 2016; 6(2): 84-90

scholarly journals Sustained low efficiency dialysis is non-inferior to continuous renal replacement therapy in critically ill patients with acute kidney injury

Medicine ◽  
2021 ◽  
Vol 100 (51) ◽  
pp. e28118
Author(s):  
Sultan Al Dalbhi ◽  
Riyadh Alorf ◽  
Mohammad Alotaibi ◽  
Abdulrahman Altheaby ◽  
Yasser Alghamdi ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Renal Replacement Therapy ◽  
Continuous Renal Replacement Therapy ◽  
Replacement Therapy ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Kidney Injury ◽  
Low Efficiency

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.

Indications for Dialysis in Acute Kidney Injury

2020 ◽  
Author(s):  
Ankit Patel ◽  
Kenneth B Christopher
Keyword(s):  
Acute Kidney Injury ◽  
Renal Replacement Therapy ◽  
Replacement Therapy ◽  
High Efficiency ◽  
Kidney Injury ◽  
Intermittent Hemodialysis ◽  
Continuous Venovenous Hemofiltration ◽  
Continuous Venovenous Hemodialysis ◽  
Low Efficiency ◽  
The Impact

Renal replacement therapy (RRT) can be used to support patient’s kidney function in cases of acute kidney injury (AKI). However, timing, modality, and dosing of RRT continue to remain in question. Recent studies have begun to provide data to help guide clinicians on when to initiate RRT, what form of RRT to use ranging from continuous venovenous hemofiltration (VVH) to intermittent hemodialysis, and the impact of high versus low-intensity dosing. Additionally, the risks associated with temporary vascular access with regard to thrombosis and infection, the impact of high efficiency and flux versus low efficiency and flux membranes, and options for anticoagulation in RRT for AKI are also discussed. This review contains 75 references.  Key words: acute kidney injury, chronic kidney disease, continuous venovenous hemofiltration, continuous venovenous hemodialysis, renal replacement therapy, venovenous hemofiltration, 

Timing of renal replacement therapy and clinical outcomes in critically ill patients with severe acute kidney injury

2009 ◽  
Vol 24 (1) ◽  
pp. 129-140 ◽  
Author(s):  
Sean M. Bagshaw ◽  
Shigehiko Uchino ◽  
Rinaldo Bellomo ◽  
Hiroshi Morimatsu ◽  
Stanislao Morgera ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Renal Replacement Therapy ◽  
Replacement Therapy ◽  
Clinical Outcomes ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Kidney Injury
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