scholarly journals Recurrent acute kidney injury: predictors and impact in a large population-based cohort

2019 ◽  
Vol 35 (8) ◽  
pp. 1361-1369 ◽  
Author(s):  
Jennifer Holmes ◽  
John Geen ◽  
John D Williams ◽  
Aled O Phillips
Keyword(s):  
Acute Kidney Injury ◽  
Renal Function ◽  
Patient Outcomes ◽  
Large Population ◽  
Kidney Injury ◽  
Population Based ◽  
First Episode ◽  
Single Episode ◽  
Subsequent Episode ◽  
The Impact

Abstract Background This study examined the impact of recurrent episodes of acute kidney injury (AKI) on patient outcomes. Methods The Welsh National electronic AKI reporting system was used to identify all cases of AKI in patients ≥18 years of age between April 2015 and September 2018. Patients were grouped according to the number of AKI episodes they experienced with each patient’s first episode described as their index episode. We compared the demography and patient outcomes of those patients with a single AKI episode with those patients with multiple AKI episodes. Analysis included 153 776 AKI episodes in 111 528 patients. Results Of those who experienced AKI and survived their index episode, 29.3% experienced a second episode, 9.9% a third episode and 4.0% experienced fourth or more episodes. Thirty-day mortality for those patients with multiple episodes of AKI was significantly higher than for those patients with a single episode (31.3% versus 24.9%, P < 0.001). Following a single episode, recovery to baseline renal function at 30 days was achieved in 83.6% of patients and was significantly higher than for patients who had repeated episodes (77.8%, P < 0.001). For surviving patients, non-recovery of renal function following any AKI episode was significantly associated with a higher probability of a further AKI episode (33.4% versus 41.0%, P < 0.001). Furthermore, with each episode of AKI the likelihood of a subsequent episode also increased (31.0% versus 43.2% versus 51.2% versus 51.7% following a first, second, third and fourth episode, P < 0.001 for all comparisons). Conclusions The results of this study provide an important contribution to the debate regarding the need for risk stratification for recurrent AKI. The data suggest that such a tool would be useful given the poor patient and renal outcomes associated with recurrent AKI episodes as highlighted by this study.

scholarly journals Hydroxyethyl Starch 130/0.42 Effect’s on Renal Function in Patients After Cardiac Surgery: A Retrospective Cohort Analysis

2020 ◽  
Author(s):  
Benedict Morath ◽  
Andreas Meid ◽  
Johannes Rickmann ◽  
Jasmin Soethoff ◽  
Markus Verch ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Renal Function ◽  
Cardiac Surgery ◽  
Kidney Function ◽  
Hydroxyethyl Starch ◽  
Retrospective Cohort ◽  
Cohort Analysis ◽  
Kidney Injury ◽  
Retrospective Cohort Analysis ◽  
The Impact

Abstract Background: Fluid management is an everyday challenge in intensive care units worldwide. Data from recent trials suggest that the use of hydroxyethyl starch leads to a higher rate of acute kidney injury and mortality in septic patients. Evidence on the safety of hydroxyethyl starch used in postoperative cardiac surgery patients is lacking Methods: The aim was to determine the impact of postoperatively administered hydroxyethylstarch 130/0.42 on renal function and 90-day mortality compared to with or without balanced crystalloids in patients after elective cardiac surgery. A retrospective cohort analysis was performed including 2245 patients undergoing elective coronary artery bypass grafting or, aortic valve replacement, or a combination of both between 2015 - 2019. Acute kidney injury was defined according to the ‘kidney disease improving global outcomes’ criteria. Multivariate logistic regression yielded adjusted associations of postoperative hydroxyethyl starch administration with acute kidney injury during hospital stay and 90-day mortality. Linear mixed-effects models predicted trajectories of estimated glomerular filtration rates over the postoperative period to explore the impact of dosage and timing of hydroxyethyl starch administration.Results: A total of 1009 patients (45.0 %) suffered from acute kidney injury. Significantly less acute kidney injury of any stage occurred in patients receiving hydroxyethyl starch compared to patients receiving only crystalloids for fluid resuscitation (43.7 % vs. 51.2 % p=0.008). In multivariate analysis, the administration of hydroxyethyl starch showed a protective effect (OR 0.89 95% confidence interval (CI) (0.82-0.96)) which was less prominent in patients receiving only crystalloids (OR 0.98, 95% CI (0.95-1.00)). No association between hydroxyethyl starch and 90-day mortality (OR 1.05 95% CI (0.88-1.25)) was detected. Renal function trajectories were dose-dependent and biphasic and hydroxyethyl starch could even slow down the late postoperative decline of kidney function.Conclusion: This study showed no association between hydroxyethyl starch and the postoperative occurrence of acute kidney injury and may add evidence to the discussion about the use of hydroxyethyl starch in cardiac surgery patients. In addition, hydroxyethyl starch administered early after surgery in adequate low doses might even prevent the decline of the kidney function after cardiac surgery.

The impact of minimal invasive extracorporeal circulation on postoperative kidney function

Perfusion ◽  
2020 ◽  
pp. 026765912095460
Author(s):  
Ara Shwan Media ◽  
Peter Juhl-Olsen ◽  
Nils Erik Magnusson ◽  
Ivy Susanne Modrau
Keyword(s):  
Acute Kidney Injury ◽  
Renal Function ◽  
Kidney Function ◽  
Extracorporeal Circulation ◽  
Artery Bypass ◽  
Bypass Graft ◽  
Kidney Injury ◽  
Minimal Invasive ◽  
Mortality And Morbidity ◽  
The Impact

Introduction: Acute kidney injury following cardiac surgery is a frequent complication associated with increased mortality and morbidity. Minimal invasive extracorporeal circulation is suggested to preserve postoperative renal function. The aim of this study was to assess the impact of minimal invasive versus conventional extracorporeal circulation on early postoperative kidney function. Methods: Randomized controlled trail including 60 patients undergoing elective stand-alone coronary artery bypass graft surgery and allocated in a 1:1 ratio to either minimal invasive (n = 30) or conventional extracorporeal circulation (n = 30). Postoperative kidney injury was assessed by elevation of plasma neutrophil gelatinase-associated lipocalin (NGAL), a sensitive tubular injury biomarker. In addition, we assessed changes in estimated glomerular filtration rate (eGFR), and the incidence of acute kidney injury according to the Acute Kidney Injury Network (AKIN) classification. Results: We observed no differences between groups regarding increase of plasma NGAL (p = 0.31) or decline of eGFR (p = 0.82). In both groups, 6/30 patients developed acute kidney injury according to the AKIN classification, all regaining preoperative renal function within 30 days. Conclusion: Our findings challenge the superiority of minimal invasive compared to conventional extracorporeal circulation in terms of preservation of renal function following low-risk coronary surgery.

scholarly journals Renin–angiotensin system blocker use and the risk of acute kidney injury after colorectal cancer surgery: a population-based cohort study

BMJ Open ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. e032964
Author(s):  
Charlotte Slagelse ◽  
H Gammelager ◽  
Lene Hjerrild Iversen ◽  
Kathleen D Liu ◽  
Henrik T Toft Sørensen ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Acute Kidney Injury ◽  
Cohort Study ◽  
Angiotensin Receptor Blockers ◽  
Kidney Injury ◽  
Population Based ◽  
Adjusted Risk ◽  
Increased Risk ◽  
The Impact ◽  
Postoperative Aki

ObjectivesIt is unknown whether preoperative use of ACE inhibitors (ACE-I) or angiotensin receptor blockers (ARBs) affects the risk of acute kidney injury (AKI) after colorectal cancer (CRC) surgery. We assessed the impact of preoperative ACE-I/ARB use on risk of AKI after CRC surgery.DesignObservational cohort study. Patients were divided into three exposure groups—current, former and non-users—through reimbursed prescriptions within 365 days before the surgery. AKI within 7 days after surgery was defined according to the current Kidney Disease Improving Global Outcome consensus criteria.SettingPopulation-based Danish medical databases.ParticipantsA total of 9932 patients undergoing incident CRC surgery during 2005–2014 in northern Denmark were included through the Danish Colorectal Cancer Group Database.Outcome measureWe computed cumulative incidence proportions (risk) of AKI with 95% CIs for current, former and non-users of ACE-I/ARB, including death as a competing risk. We compared current and former users with non-users by computing adjusted risk ratios (aRRs) using log-binomial regression adjusted for demographics, comorbidities and CRC-related characteristics. We stratified the analyses of ACE-I/ARB users to address any difference in impact within relevant subgroups.ResultsTwenty-one per cent were ACE-I/ARB current users, 6.4% former users and 72.3% non-users. The 7-day postoperative AKI risk for current, former and non-users was 26.4% (95% CI 24.6% to 28.3%), 25.2% (21.9% to 28.6%) and 17.8% (17.0% to 18.7%), respectively. The aRRs of AKI were 1.20 (1.09 to 1.32) and 1.16 (1.01 to 1.34) for current and former users, compared with non-users. The relative risk of AKI in current compared with non-users was consistent in all subgroups, except for higher aRR in patients with a history of hypertension.ConclusionsBeing a current or former user of ACE-I/ARBs is associated with an increased risk of postoperative AKI compared with non-users. Although it may not be a drug effect, users of ACE-I/ARBs should be considered a risk group for postoperative AKI.

scholarly journals Machine Learning for Identifying Medication-Associated Acute Kidney Injury

Informatics ◽  
2020 ◽  
Vol 7 (2) ◽  
pp. 18
Author(s):  
Sheikh S. Abdullah ◽  
Neda Rostamzadeh ◽  
Kamran Sedig ◽  
Daniel J. Lizotte ◽  
Amit X. Garg ◽  
...  
Keyword(s):  
Machine Learning ◽  
Acute Kidney Injury ◽  
Clinical Medicine ◽  
Kidney Injury ◽  
Population Based ◽  
Frequent Itemset ◽  
Machine Learning Techniques ◽  
Analysis Techniques ◽  
Stratified Analysis ◽  
The Impact

One of the prominent problems in clinical medicine is medication-induced acute kidney injury (AKI). Avoiding this problem can prevent patient harm and reduce healthcare expenditures. Several researches have been conducted to identify AKI-associated medications using statistical, data mining, and machine learning techniques. However, these studies are limited to assessing the impact of known nephrotoxic medications and do not comprehensively explore the relationship between medication combinations and AKI. In this paper, we present a population-based retrospective cohort study that employs automated data analysis techniques to identify medications and medication combinations that are associated with a higher risk of AKI. By integrating multivariable logistic regression, frequent itemset mining, and stratified analysis, this study is designed to explore the complex relationships between medications and AKI in such a way that has never been attempted before. Through an analysis of prescription records of one million older patients stored in the healthcare administrative dataset at ICES (an independent, non-profit, world-leading research organization that uses population-based health and social data to produce knowledge on a broad range of healthcare issues), we identified 55 AKI-associated medications among 595 distinct medications and 78 AKI-associated medication combinations among 7748 frequent medication combinations. In addition, through a stratified analysis, we identified 37 cases where a particular medication was associated with increasing the risk of AKI when used with another medication. We have shown that our results are consistent with previous studies through consultation with a nephrologist and an electronic literature search. This research demonstrates how automated analysis techniques can be used to accomplish data-driven tasks using massive clinical datasets.

MP04-06 THE IMPACT OF PNEUMOPERITONEUM ON RENAL FUNCTION AND THE DEVELOPMENT OF ACUTE KIDNEY INJURY

2020 ◽  
Vol 203 ◽  
pp. e34
Author(s):  
Omri Nativ* ◽  
Wisam Abboud ◽  
Bishara Bishare ◽  
Hoda Awad ◽  
Nairoz Abu-Salah ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Renal Function ◽  
Kidney Injury ◽  
The Impact

scholarly journals Risk Factors for Recurrent Acute Kidney Injury in a Large Population-Based Cohort

2019 ◽  
Vol 73 (2) ◽  
pp. 163-173 ◽  
Author(s):  
Kathleen D. Liu ◽  
Jingrong Yang ◽  
Thida C. Tan ◽  
David V. Glidden ◽  
Sijie Zheng ◽  
...  
Keyword(s):  
Risk Factors ◽  
Acute Kidney Injury ◽  
Large Population ◽  
Kidney Injury ◽  
Population Based

scholarly journals Preadmission kidney function and risk of acute kidney injury in patients hospitalized with acute pyelonephritis: A Danish population-based cohort study

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0247687
Author(s):  
Henriette Vendelbo Graversen ◽  
Mette Nørgaard ◽  
Dorothea Nitsch ◽  
Christian Fynbo Christiansen
Keyword(s):  
Acute Kidney Injury ◽  
Risk Factor ◽  
Cohort Study ◽  
Kidney Function ◽  
Acute Pyelonephritis ◽  
Laboratory Data ◽  
Kidney Injury ◽  
Population Based ◽  
The Impact ◽  
First Time

Background and objectives Only few smaller studies have examined if impaired kidney function increases the risk of acute kidney injury in patients with acute pyelonephritis. Therefore, we estimated 30-day risk of acute kidney injury by preadmission kidney function in patients with acute pyelonephritis. Furthermore, we examined if impaired kidney function was a risk factor for development of acute kidney injury in pyelonephritis patients. Methods This cohort study included patients with a first-time hospitalization with pyelonephritis from 2000 to 2017. Preadmission kidney function (estimated glomerular filtration rate (eGFR) <30, 30–44, 45–59, 60–89, and ≥90 ml/min/1.73 m2) and acute kidney injury within 30 days after admission were assessed using laboratory data on serum creatinine. The absolute 30-days risk of acute kidney injury was assessed treating death as a competing risk. The impact of eGFR on the odds of acute kidney injury was compared by odds ratios (ORs) with 95% confidence intervals estimated using logistic regression adjusted for potential confounding factors. Results Among 8,760 patients with available data on preadmission kidney function, 25.8% had a preadmission eGFR <60. The 30-day risk of acute kidney injury was 16% among patients with preadmission eGFR ≥90 and increased to 22%, 33%, 42%, and 47% for patients with preadmission eGFR of 60–89, 45–59, 30–44, and <30 respectively. Compared with eGFR≥90, the adjusted ORs for the subgroups with eGFR 60–89, 45–59, 30–45, and <30 were 0.95, 1.32, 1.78, and 2.19 respectively. Conclusion Acute kidney injury is a common complication in patients hospitalized with acute pyelonephritis. Preadmission impaired kidney function is a strong risk factor for development of acute kidney injury in pyelonephritis patients and more attention should be raised in prevention of pyelonephritis in patients with a low kidney function.

Sign in / Sign up

Export Citation Format

Share Document