Utilization of Renal Ultrasound for Predicting Obstructive Uropathy in ICU Patients With Acute Kidney Injury

CHEST Journal ◽  
2014 ◽  
Vol 146 (4) ◽  
pp. 223A ◽  
Author(s):  
Syed Amin ◽  
Reejis Stephen ◽  
David Morris ◽  
David Kaufman
Keyword(s):  
Acute Kidney Injury ◽  
Obstructive Uropathy ◽  
Kidney Injury ◽  
Renal Ultrasound ◽  
Icu Patients

scholarly journals Risk factors and mortality in patients with sepsis, septic and non septic acute kidney injury in ICU

2019 ◽  
Vol 41 (4) ◽  
pp. 462-471 ◽  
Author(s):  
Kellen Hyde Elias Pinheiro ◽  
Franciana Aguiar Azêdo ◽  
Kelsy Catherina Nema Areco ◽  
Sandra Maria Rodrigues Laranja
Keyword(s):  
Risk Factors ◽  
Acute Kidney Injury ◽  
Kidney Disease ◽  
Kidney Injury ◽  
Mortality Rates ◽  
Icu Patients ◽  
Septic Acute Kidney Injury ◽  
Observational Cohort ◽  
Worse Prognosis

Abstract Acute kidney injury (AKI) has an incidence rate of 5-6% among intensive care unit (ICU) patients and sepsis is the most frequent etiology. Aims: To assess patients in the ICU that developed AKI, AKI on chronic kidney disease (CKD), and/or sepsis, and identify the risk factors and outcomes of these diseases. Methods: A prospective observational cohort quantitative study that included patients who stayed in the ICU > 48 hours and had not been on dialysis previously was carried out. Results: 302 patients were included and divided into: no sepsis and no AKI (nsnAKI), sepsis alone (S), septic AKI (sAKI), non-septic AKI (nsAKI), septic AKI on CKD (sAKI/CKD), and non-septic AKI on CKD (nsAKI/CKD). It was observed that 94% of the patients developed some degree of AKI. Kidney Disease Improving Global Outcomes (KDIGO) stage 3 was predominant in the septic groups (p = 0.018). Nephrologist follow-up in the non-septic patients was only 23% vs. 54% in the septic groups (p < 0.001). Dialysis was performed in 8% of the non-septic and 37% of the septic groups (p < 0.001). Mechanical ventilation (MV) requirement was higher in the septic groups (p < 0.001). Mortality was 38 and 39% in the sAKI and sAKI/CKD groups vs 16% and 0% in the nsAKI and nsAKI/CKD groups, respectively (p < 0.001). Conclusions: Patients with sAKI and sAKI/CKD had worse prognosis than those with nsAKI and nsAKI/CKD. The nephrologist was not contacted in a large number of AKI cases, except for KDIGO stage 3, which directly influenced mortality rates. The urine output was considerably impaired, ICU stay was longer, use of MV and mortality were higher when kidney injury was combined with sepsis.

scholarly journals Effects on renal outcome of concomitant acute pyelonephritis, acute kidney injury and obstruction duration in obstructive uropathy by urolithiasis: a retrospective cohort study

BMJ Open ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. e030438
Author(s):  
Eung Hyun Lee ◽  
Su-Hyun Kim ◽  
Jung-ho Shin ◽  
Sung Bin Park ◽  
Byung Hoon Chi ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Renal Function ◽  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Acute Pyelonephritis ◽  
Retrospective Cohort ◽  
Obstructive Uropathy ◽  
Kidney Injury ◽  
Renal Outcome ◽  
Factors Affecting

ObjectiveObstruction release from urolithiasis can be delayed with a lack of suggested time for preventing the deterioration of renal function. The objective of this study was to investigate the effect of obstruction duration, concomitant acute kidney injury (AKI) or acute pyelonephritis (APN) during the obstruction on the prognosis of renal function.DesignRetrospective cohort study.Setting and participants1607 patients from a urolithiasis-related obstructive uropathy cohort, between January 2005 and December 2015.Outcome measuresEstimated glomerular filtration rate (eGFR) decrease ≥30% and/or end-stage renal disease (ESRD), and eGFR decrease ≥50% and/or ESRD, according to obstruction duration, AKI and APN accompanied by obstructive uropathy.ResultsWhen the prognosis was divided by obstruction duration quartile, the longer the obstruction duration the higher the probability of eGFR reduction >50% (p=0.02). In patients with concomitant APN or severe AKI during hospitalisation with obstructive uropathy, an eGFR decrease of >30% and >50% occurred more frequently, compared with others (p<0.001). When we adjusted for sex, age, hypertension, diabetes mellitus, APN, AKI grades and obstruction release >7 days for multivariate analysis, we found that concomitant APN (HR 3.495, 95% CI 1.942 to 6.289, p<0.001), concomitant AKI (HR 3.284, 95% CI 1.354 to 7.965, p=0.009 for AKI stage II; HR 6.425, 95% CI 2.599 to 15.881, p<0.001 for AKI stage III) and an obstruction duration >7 days (HR 1.854, 95% CI 1.095 to 3.140, p=0.001) were independently associated with an eGFR decrease >50%. Tree analysis also showed that AKI grade 3, APN and an obstruction duration >7 days were the most important factors affecting renal outcome.ConclusionsIn patients with urolithiasis-related obstructive uropathy, concomitant APN was strongly associated with deterioration of renal function after obstruction release. The elapsed time to release the obstruction also affected renal function.

Furosemide as a functional marker of acute kidney injury in ICU patients: a new role for an old drug

2019 ◽  
Vol 32 (6) ◽  
pp. 883-893 ◽  
Author(s):  
Filippo Mariano ◽  
Alberto Mella ◽  
Marco Vincenti ◽  
Luigi Biancone
Keyword(s):  
Acute Kidney Injury ◽  
Kidney Injury ◽  
Functional Marker ◽  
Icu Patients

Comparing Machine Learning Algorithms for Predicting Acute Kidney Injury

2019 ◽  
Vol 85 (7) ◽  
pp. 725-729 ◽  
Author(s):  
Joshua Parreco ◽  
Hahn Soe-Lin ◽  
Jonathan J. Parks ◽  
Saskya Byerly ◽  
Matthew Chatoor ◽  
...  
Keyword(s):  
Machine Learning ◽  
Acute Kidney Injury ◽  
Learning Algorithms ◽  
Vital Signs ◽  
Kidney Injury ◽  
Machine Learning Algorithms ◽  
Laboratory Measurements ◽  
Icu Patients ◽  
Laboratory Values ◽  
F Measure

Prior studies have used vital signs and laboratory measurements with conventional modeling techniques to predict acute kidney injury (AKI). The purpose of this study was to use the trend in vital signs and laboratory measurements with machine learning algorithms for predicting AKI in ICU patients. The eICU Collaborative Research Database was queried for five consecutive days of laboratory measurements per patient. Patients with AKI were identified and trends in vital signs and laboratory values were determined by calculating the slope of the least-squares-fit linear equation using three days for each value. Different machine learning classifiers (gradient boosted trees [GBT], logistic regression, and deep learning) were trained to predict AKI using the laboratory values, vital signs, and slopes. There were 151,098 ICU stays identified and the rate of AKI was 5.6 per cent. The best performing algorithm was GBT with an AUC of 0.834 ± 0.006 and an F-measure of 42.96 per cent ± 1.26 per cent. Logistic regression performed with an AUC of 0.827 ± 0.004 and an F-measure of 28.29 per cent ± 1.01 per cent. Deep learning performed with an AUC of 0.817 ± 0.005 and an F-measure of 42.89 per cent ± 0.91 per cent. The most important variable for GBT was the slope of the minimum creatinine (30.32%). This study identifies the best performing machine learning algorithms for predicting AKI using trends in laboratory values in ICU patients. Early identification of these patients using readily available data indicates that incorporating machine learning predictive models into electronic medical record systems is an inevitable requisite for improving patient outcomes.

Characteristics and risk factors of postoperative acute kidney injury in ICU patients

2018 ◽  
Vol 50 (11) ◽  
pp. 2111-2112
Author(s):  
Liu-Jia-Zi Shao ◽  
Fu-Shan Xue ◽  
Rui-Juan Guo ◽  
Li Zheng
Keyword(s):  
Risk Factors ◽  
Acute Kidney Injury ◽  
Kidney Injury ◽  
Icu Patients

Renal

2013 ◽  
Author(s):  
Martin Beed ◽  
Richard Sherman ◽  
Ravi Mahajan
Keyword(s):  
Acute Kidney Injury ◽  
Fluid Resuscitation ◽  
Fluid Balance ◽  
Fluid Overload ◽  
Kidney Injury ◽  
Crush Syndrome ◽  
Careful Attention ◽  
Icu Patients ◽  
Balance Disorders ◽  
Maintenance Fluids

Fluid balance disordersAcute kidney injuryRhabdomyolysis/crush syndromeFluid balance disorders include hypovolaemia (oligaemia), dehydration/acute fluid depletion, and hypervolaemia/fluid overload. Careful attention to fluid balance is essential in ICU. Patients are likely to require ‘maintenance’ fluids in addition to any fluid resuscitation.Hypovolaemia (see also Shock, ...

scholarly journals FP648LOWER SHORT-TERM MORTALITY IN ICU PATIENTS ON CHRONIC DIALYSIS THAN IN THOSE REQUIRING DIALYSIS FOR ACUTE KIDNEY INJURY

2018 ◽  
Vol 33 (suppl_1) ◽  
pp. i262-i263
Author(s):  
Robin Lohse ◽  
Michael Ibsen ◽  
Jørgen Wiis ◽  
Anders Perner ◽  
Theis Lange ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Kidney Injury ◽  
Chronic Dialysis ◽  
Short Term ◽  
Icu Patients ◽  
Short Term Mortality

scholarly journals Tu1520 – Prognosis of Icu Patients with Cirrhosis and Acute Kidney Injury Who Initiate Dialysis

2019 ◽  
Vol 156 (6) ◽  
pp. S-1351
Author(s):  
Ahmed M. Agameya ◽  
Lolwa Al Obaid ◽  
Ainul Wahajia ◽  
Ahmed Abdelfattah ◽  
Yuxiu Lei ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Kidney Injury ◽  
Icu Patients
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