scholarly journals A novel machine learning algorithm, Bayesian networks model, to predict the high‐risk patients with cardiac surgery‐associated acute kidney injury

2020 ◽  
Vol 43 (7) ◽  
pp. 752-761
Author(s):  
Yang Li ◽  
Jiarui Xu ◽  
Yimei Wang ◽  
Yunlu Zhang ◽  
Wuhua Jiang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Acute Kidney Injury ◽  
Cardiac Surgery ◽  
High Risk ◽  
Bayesian Networks ◽  
Learning Algorithm ◽  
Kidney Injury ◽  
Machine Learning Algorithm ◽  
High Risk Patients ◽  
Risk Patients

Hydroxyethyl starch and acute kidney injury in high-risk patients undergoing cardiac surgery: A prospective multicenter study

2021 ◽  
Vol 73 ◽  
pp. 110367
Author(s):  
David Nagore ◽  
Angel Candela ◽  
Martina Bürge ◽  
Pablo Monedero ◽  
Eduardo Tamayo ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Cardiac Surgery ◽  
High Risk ◽  
Hydroxyethyl Starch ◽  
Multicenter Study ◽  
Kidney Injury ◽  
Prospective Multicenter Study ◽  
High Risk Patients ◽  
Risk Patients

scholarly journals Vascular Adhesion Protein-1 Is Associated With Acute Kidney Injury in High-Risk Patients After Cardiac Surgery

2019 ◽  
Vol 129 (6) ◽  
pp. 1474-1481 ◽  
Author(s):  
Melanie Meersch ◽  
Mira Küllmar ◽  
Ronny Renfurm ◽  
Andreas Margraf ◽  
Eike Bormann ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Cardiac Surgery ◽  
High Risk ◽  
Kidney Injury ◽  
Adhesion Protein ◽  
High Risk Patients ◽  
Risk Patients ◽  
Vascular Adhesion ◽  
Vascular Adhesion Protein 1

scholarly journals Teprasiran, A Small Interfering RNA, for the Prevention of Acute Kidney Injury in High-Risk Patients Undergoing Cardiac Surgery: A Randomized Clinical Study

Circulation ◽  
2021 ◽  
Author(s):  
Matthias Thielmann ◽  
David Corteville ◽  
Gabor Szabo ◽  
Madhav Swaminathan ◽  
Andre Lamy ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Cardiac Surgery ◽  
High Risk ◽  
Small Interfering Rna ◽  
Kidney Injury ◽  
High Risk Patients ◽  
Randomized Clinical Study ◽  
Significant Difference ◽  
Risk Patients ◽  
Interfering Rna

Background: Acute kidney injury (AKI) affects up to 30% of cardiac surgery patients, leading to increased in-hospital and long-term morbidity and mortality. Teprasiran is a novel small interfering RNA (siRNA) that temporarily inhibits p53-mediated cell death, which underlies AKI. Methods: This prospective, multicenter, double-blind, randomized, controlled Phase 2 trial evaluated the efficacy and safety of a single 10 mg/kg dose of teprasiran vs. placebo (1:1), in reducing the incidence, severity, and duration of AKI following cardiac surgery in high-risk patients. The primary endpoint was proportion of patients who developed AKI determined by serum creatinine (sCr) by post-operative day 5. Other endpoints included AKI severity and duration using various prespecified criteria. To inform future clinical development, a composite endpoint of major adverse kidney events at day 90 (MAKE90), including death, renal replacement therapy (RRT) and ≥25% reduction of estimated glomerular filtration rate (eGFR) was assessed. Both sCr and serum cystatin-C (sCys) were used for eGFR assessments. Results: A total of 360 patients were randomized in 41 centers. 341 dosed patients were 73±7.5 years old (mean±SD), 72% were male, and median Euroscore-II (European System for Cardiac Operative Risk Evaluation) was 2.6%. Demographics and surgical parameters were similar between groups. AKI incidence was 37% for teprasiran vs. 50% for placebo-treated patients, a 12.8% absolute risk reduction (ARR), p=0.02; OR=0.58 (95% CI 0.37 to 0.92). AKI severity and duration were also improved with teprasiran: 2.5% of teprasiran vs. 6.7% of placebo-treated patients had Grade 3 AKI; 7% teprasiran vs. 13% placebo-treated patients had AKI lasting for 5 days. No significant difference was observed for the MAKE90 composite in the overall population. No safety issues were identified with teprasiran treatment. Conclusions: The incidence, severity, and duration of early AKI in high-risk patients undergoing cardiac surgery were significantly reduced following teprasiran administration. A Phase 3 study with a MAKE90 primary outcome which has recently completed enrollment was designed based on these findings (NCT03510897). Clinical Trial Registration: URL: https://clinicaltrials.gov/ Unique Identifier: NCT02610283

Predicting Cardiac Surgery-Associated Acute Kidney Injury Using a Combination of Clinical Risk Scores and Urinary Biomarkers

2019 ◽  
Vol 68 (05) ◽  
pp. 389-400
Author(s):  
Philippe Grieshaber ◽  
Sina Möller ◽  
Borros Arneth ◽  
Peter Roth ◽  
Bernd Niemann ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Cardiac Surgery ◽  
High Risk ◽  
Cleveland Clinic ◽  
Kidney Injury ◽  
Urinary Biomarkers ◽  
Risk Scores ◽  
High Risk Patients ◽  
Clinical Risk ◽  
Risk Patients

Background Prediction, early diagnosis, and therapy of cardiac surgery-associated acute kidney injury (CSA-AKI) are challenging. We prospectively tested a staged approach to identify patients at high risk for CSA-AKI combining clinical risk stratification and early postoperative quantification of urinary biomarkers for AKI. Methods All patients, excluding those on chronic hemodialysis, undergoing scheduled surgery with cardiopulmonary bypass between August 2015 and July 2016 were included. First, patients were stratified by calculating the Cleveland clinic score (CCS) and the Leicester score (LS). In high-risk patients (defined as LS > 25 or CCS > 6), urinary concentrations of biomarkers for AKI ([TIMP-2]*[IGFBP-7]) were evaluated 4 hours postoperatively. CSA-AKI was observed until postoperative day 6 and classified using the Kidney Disease: Improving Global Outcomes criteria. Results AKI occurred in 352 of613 patients (54%). In high-risk patients, AKI occurred more frequently than in low-risk patients (66 vs. 49%; p = 0.001). In-hospital mortality after AKI stage 2 (15%) or AKI stage 3 (49%) compared with patients without AKI (1.8%; p = 0.001) was increased. LS was predictive for all stages of AKI (area under the curve [AUC] 0.601; p < 0.001) with a poor or fair accuracy, while CCS was only predictive for stage 2 or 3 AKI (AUC 0.669; p < 0.001) with fair accuracy. In 133 high-risk patients, urinary [TIMP-2]*[IGFBP-7] was significantly predictive for all-stage AKI within 24 hours postoperatively (AUC 0.63; p = 0.017). However, for the majority of AKI (55%), which occurred beyond 24 hours postoperatively, urinary [TIMP-2]*[IGFBP-7] was not significantly predictive. Sensitivity for all-stage AKI within 24 hours was 0.38 and specificity was 0.81 using a cutoff value of 0.3. Conclusion CSA-AKI is a relevant and frequent complication after cardiac surgery. Patients at high risk for CSA-AKI can be identified using clinical prediction scores, however, with only poor to fair accuracy. Due to its weak test performance, urinary [TIMP-2]*[IGFBP-7] quantification 4 hours postoperatively does not add to the predictive value of clinical scores.

scholarly journals Preventing acute kidney injury in high-risk patients by temporarily discontinuing medication – an observational study in general practice

2019 ◽  
Author(s):  
Suzanne J Faber ◽  
Nynke Scherpbier ◽  
Hans Peters ◽  
Annemarie Uijen
Keyword(s):  
Heart Failure ◽  
Acute Kidney Injury ◽  
High Risk ◽  
Kidney Injury ◽  
Cross Sectional Study ◽  
Fluid Loss ◽  
Cross Sectional ◽  
High Risk Patients ◽  
Risk Patients ◽  
Raas Inhibitors

Abstract Background Elderly, patients with chronic kidney disease (CKD) and patients with heart failure who continue using renin-angiotensin-aldosterone-system (RAAS) inhibitors, diuretics, or non-steroidal-anti-inflammatory drugs (NSAIDs) during times of fluid loss have a high risk of developing complications like acute kidney injury (AKI). The aim of this study was to assess how often advice to discontinue high-risk medication was offered to high-risk patients consulting the general practitioner (GP) with increased fluid loss. Furthermore, we assessed the number and nature of the complications that occurred after GP consultation. Methods We performed a cross-sectional study with patients from seven Dutch general practices participating in the Family Medicine Network between 1-6-2013 and 1-7-2018. We included patients who used RAAS-inhibitors, diuretics, or NSAIDs, and had at least one of the following risk factors: age ≥70 years, CKD, or heart failure. From this population, we selected patients with a ‘dehydration-risk’ episode (vomiting, diarrhoea, fever, chills, or gastrointestinal infection). We manually checked their electronic patient files and assessed the percentage of episodes in which advice to discontinue the high-risk medication was offered and whether a complication occurred in three months after the ‘dehydration-risk’ episode. Results We included 3607 high-risk patients from a total of 44.675 patients (8.1%). We found that patients were advised to discontinue the high-risk medication in 38 (4.6%) of 816 ‘dehydration-risk’ episodes. In 59 of 816 episodes (7.1%) complications (mainly AKI) occurred. Conclusions Dutch GPs do not frequently advise high-risk patients to discontinue high-risk medication during ‘dehydration-risk’ episodes. Complications occur frequently. Timely discontinuation of high-risk medication needs attention.

scholarly journals What nephrologist should know about COVID-19 outbreak?

2020 ◽  
Author(s):  
Omar maoujoud
Keyword(s):  
Acute Kidney Injury ◽  
High Risk ◽  
Renal Impairment ◽  
High Mortality ◽  
Medical Management ◽  
Multiorgan Failure ◽  
Kidney Injury ◽  
Prognostic Indicator ◽  
High Risk Patients ◽  
Risk Patients

Acute Kidney injury is relatively uncommon in COVID-19 patients yet carries a high mortality. It occurs in patients complicated with ARDS or multiorgan failure, but further investigation about inflammatory and apopotic mechanisms during renal impairment are needed. Since the development of AKI is an important negative prognostic indicator for survival with CoV as reported in previous SAR-CoV and MERS-CoV outbreaks, adequate medical management of high risk patients with AKI may improve the results of previous outbreaks related to CoV.

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