scholarly journals Clearance of inflammatory cytokines in patients with septic acute kidney injury during renal replacement therapy using the EMiC2 filter (Clic-AKI study)

Critical Care ◽  
2021 ◽  
Vol 25 (1) ◽  
Author(s):  
Nuttha Lumlertgul ◽  
Anna Hall ◽  
Luigi Camporota ◽  
Siobhan Crichton ◽  
Marlies Ostermann
Keyword(s):  
Acute Kidney Injury ◽  
Growth Factor ◽  
Replacement Therapy ◽  
Kidney Injury ◽  
Final Analysis ◽  
Adsorptive Capacity ◽  
Clearance Rates ◽  
Plasma Cytokine ◽  
Tnf Α ◽  
Ifn Γ

Abstract Background The EMiC2 membrane is a medium cut-off haemofilter (45 kiloDalton). Little is known regarding its efficacy in eliminating medium-sized cytokines in sepsis. This study aimed to explore the effects of continuous veno-venous haemodialysis (CVVHD) using the EMiC2 filter on cytokine clearance. Methods This was a prospective observational study conducted in critically ill patients with sepsis and acute kidney injury requiring kidney replacement therapy. We measured concentrations of 12 cytokines [Interleukin (IL) IL-1β, IL-1α, IL-2, IL-4, IL-6, IL-8, IL-10, interferon (IFN)-γ, tumour necrosis factor (TNF)-α, vascular endothelial growth factor, monocyte chemoattractant protein (MCP)-1, epidermal growth factor (EGF)] in plasma at baseline (T0) and pre- and post-dialyzer at 1, 6, 24, and 48 h after CVVHD initiation and in the effluent fluid at corresponding time points. Outcomes were the effluent and adsorptive clearance rates, mass balances, and changes in serial serum concentrations. Results Twelve patients were included in the final analysis. All cytokines except EGF concentrations declined over 48 h (p < 0.001). The effluent clearance rates were variable and ranged from negligible values for IL-2, IFN-γ, IL-1α, IL-1β, and EGF, to 19.0 ml/min for TNF-α. Negative or minimal adsorption was observed. The effluent and adsorptive clearance rates remained steady over time. The percentage of cytokine removal was low for most cytokines throughout the 48-h period. Conclusion EMiC2-CVVHD achieved modest removal of most cytokines and demonstrated small to no adsorptive capacity despite a decline in plasma cytokine concentrations. This suggests that changes in plasma cytokine concentrations may not be solely influenced by extracorporeal removal. Trial registration: NCT03231748, registered on 27th July 2017.

scholarly journals Clearance of Inflammatory Cytokines in Patients with Septic Acute Kidney Injury During Renal Replacement Therapy Using the EMiC2 Filter (Clic-AKI Study)

2020 ◽  
Author(s):  
Nuttha Lumlertgul ◽  
Anna Hall ◽  
Luigi Camporota ◽  
Siobhan Crichton ◽  
Marlies Ostermann
Keyword(s):  
Acute Kidney Injury ◽  
Growth Factor ◽  
Replacement Therapy ◽  
Kidney Injury ◽  
Final Analysis ◽  
Adsorptive Capacity ◽  
Clearance Rates ◽  
Plasma Cytokine ◽  
Tnf Α ◽  
Kidney Replacement Therapy

Abstract BackgroundThe Ultraflux EMiC2 membrane is a high cutoff hemofilter (45 kiloDalton). Little is known regarding its efficacy in eliminating medium-sized cytokines in sepsis. This study aimed to explore the effects of continuous veno-venous hemodialysis (CVVHD) using the EMiC2 filter on cytokine clearance.MethodsThis was a prospective observational study conducted in critically ill patients with sepsis and acute kidney injury requiring kidney replacement therapy. We measured concentrations of 12 cytokines [Interleukin (IL) IL-1β, IL-1α, IL-2, IL-4, IL-6, IL-8, IL-10, interferon (IFN)-ƴ, tumor necrosis factor (TNF)-α, vascular endothelial growth factor (VEGF), monocyte chemoattractant protein (MCP)-1, epidermal growth factor (EGF)] in plasma at baseline (T0) and pre- and post-dialyzer at 1, 6, 24, and 48 hours after CVVHD initiation and in the effluent fluid at corresponding time points. Outcomes were the effluent and adsorptive clearance rates, sieving coefficients (SCs), mass balances, and changes in serial serum concentrations.ResultsTwelve patients were included in the final analysis. All cytokines except EGF concentrations declined over 48 hours (p<0.001). Apart from IL-4, IL-8 and MCP-1, the SCs of the cytokines were <0.6. The effluent clearance rates were variable and ranged from negligible values for IL-2, IFN-ƴ, IL-1α, IL-1β, and EGF, to 19.0 ml/min for TNF-α. Negative or minimal adsorption was observed. The effluent and adsorptive clearance rates remained steady over time. The percentage of cytokine removal was low for most cytokines throughout the 48-hour period. ConclusionEMiC2-CVVHD achieved modest removal of most cytokines by diffusion and demonstrated small to no adsorptive capacity despite a decline in plasma cytokine concentrations. This suggests that changes in plasma cytokine concentrations may not be solely influenced by extracorporeal removal.Trial registrationNCT03231748, registered on 27th July 2017

scholarly journals Clearance of inflammatory cytokines in Patients with Septic Acute Kidney Injury During Renal Replacement Therapy Using the EMiC2 Filter (Clic-AKI study)

2021 ◽  
Author(s):  
Nuttha Lumlertgul ◽  
Anna Hall ◽  
Luigi Camporota ◽  
Siobhan Crichton ◽  
Marlies Ostermann
Keyword(s):  
Acute Kidney Injury ◽  
Growth Factor ◽  
Replacement Therapy ◽  
Kidney Injury ◽  
Final Analysis ◽  
Adsorptive Capacity ◽  
Clearance Rates ◽  
Plasma Cytokine ◽  
Tnf Α ◽  
Kidney Replacement Therapy

Abstract Background: The EMiC2 membrane is a medium cutoff hemofilter (45 kiloDalton). Little is known regarding its efficacy in eliminating medium-sized cytokines in sepsis. This study aimed to explore the effects of continuous veno-venous hemodialysis (CVVHD) using the EMiC2 filter on cytokine clearance.Methods: This was a prospective observational study conducted in critically ill patients with sepsis and acute kidney injury requiring kidney replacement therapy. We measured concentrations of 12 cytokines [Interleukin (IL) IL-1β, IL-1α, IL-2, IL-4, IL-6, IL-8, IL-10, interferon (IFN)-ƴ, tumor necrosis factor (TNF)-α, vascular endothelial growth factor (VEGF), monocyte chemoattractant protein (MCP)-1, epidermal growth factor (EGF)] in plasma at baseline (T0) and pre- and post-dialyzer at 1, 6, 24, and 48 hours after CVVHD initiation and in the effluent fluid at corresponding time points. Outcomes were the effluent and adsorptive clearance rates, mass balances, and changes in serial serum concentrations.Results: Twelve patients were included in the final analysis. All cytokines except EGF concentrations declined over 48 hours (p<0.001). The effluent clearance rates were variable and ranged from negligible values for IL-2, IFN-ƴ, IL-1α, IL-1β, and EGF, to 19.0 ml/min for TNF-α. Negative or minimal adsorption was observed. The effluent and adsorptive clearance rates remained steady over time. The percentage of cytokine removal was low for most cytokines throughout the 48-hour period. Conclusion: EMiC2-CVVHD achieved modest removal of most cytokines and demonstrated small to no adsorptive capacity despite a decline in plasma cytokine concentrations. This suggests that changes in plasma cytokine concentrations may not be solely influenced by extracorporeal removal.

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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