scholarly journals Cost-effectiveness and value of information analysis of NephroCheck and NGAL tests compared to standard care for the diagnosis of acute kidney injury

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Elisabet Jacobsen ◽  
Simon Sawhney ◽  
Miriam Brazzelli ◽  
Lorna Aucott ◽  
Graham Scotland ◽  
...  

Abstract Background Early and accurate acute kidney injury (AKI) detection may improve patient outcomes and reduce health service costs. This study evaluates the diagnostic accuracy and cost-effectiveness of NephroCheck and NGAL (urine and plasma) biomarker tests used alongside standard care, compared with standard care to detect AKI in hospitalised UK adults. Methods A 90-day decision tree and lifetime Markov cohort model predicted costs, quality adjusted life years (QALYs) and incremental cost-effectiveness ratios (ICERs) from a UK NHS perspective. Test accuracy was informed by a meta-analysis of diagnostic accuracy studies. Clinical trial and observational data informed the link between AKI and health outcomes, health state probabilities, costs and utilities. Value of information (VOI) analysis informed future research priorities. Results Under base case assumptions, the biomarker tests were not cost-effective with ICERs of £105,965 (NephroCheck), £539,041 (NGAL urine BioPorto), £633,846 (NGAL plasma BioPorto) and £725,061 (NGAL urine ARCHITECT) per QALY gained compared to standard care. Results were uncertain, due to limited trial data, with probabilities of cost-effectiveness at £20,000 per QALY ranging from 0 to 99% and 0 to 56% for NephroCheck and NGAL tests respectively. The expected value of perfect information (EVPI) was £66 M, which demonstrated that additional research to resolve decision uncertainty is worthwhile. Conclusions Current evidence is inadequate to support the cost-effectiveness of general use of biomarker tests. Future research evaluating the clinical and cost-effectiveness of test guided implementation of protective care bundles is necessary. Improving the evidence base around the impact of tests on AKI staging, and of AKI staging on clinical outcomes would have the greatest impact on reducing decision uncertainty.

2021 ◽  
Vol 10 (6) ◽  
pp. 1175
Author(s):  
Emaad M. Abdel-Rahman ◽  
Faruk Turgut ◽  
Jitendra K. Gautam ◽  
Samir C. Gautam

Acute kidney injury (AKI) is a common clinical syndrome characterized by rapid impairment of kidney function. The incidence of AKI and its severe form AKI requiring dialysis (AKI-D) has been increasing over the years. AKI etiology may be multifactorial and is substantially associated with increased morbidity and mortality. The outcome of AKI-D can vary from partial or complete recovery to transitioning to chronic kidney disease, end stage kidney disease, or even death. Predicting outcomes of patients with AKI is crucial as it may allow clinicians to guide policy regarding adequate management of this problem and offer the best long-term options to their patients in advance. In this manuscript, we will review the current evidence regarding the determinants of AKI outcomes, focusing on AKI-D.


2015 ◽  
Vol 8 (5) ◽  
pp. 120 ◽  
Author(s):  
Syed Raza Shah ◽  
Sameer Altaf Tunio ◽  
Mohammad Hussham Arshad ◽  
Zorays Moazzam ◽  
Komal Noorani ◽  
...  

<p>Acute renal failure is defined as a rapid decrease in the glomerular filtration rate, occurring over a period of hours to days and by the inability of the kidney to regulate fluid and electrolyte homeostasis appropriately. AKI is a catastrophic, life-threatening event in critically ill patients. AKI can be divided into pre-renal injury, intrinsic kidney disease (including vascular insults) and obstructive uropathies. The prognosis of AKI is highly dependent on the underlying cause of the injury. Children who have AKI as a component of multisystem failure have a much higher mortality rate than children with intrinsic renal disease. Treatment of AKI is subjected to risk stratification and ongoing damage control measures, such as patients with sepsis, exposure to nephrotoxic agents, ischemia, bloody diarrhea, or volume loss, could be helped by optimizing the fluid administrations, antibiotics possessing least nephrotoxic potential, blood transfusion where hemoglobin is dangerously low, limiting the use of nephrotoxic agents including radio contrast use, while maximize the nutrition. Acute kidney injury remains a complex disorder with an apparent differentiation in pathology between septic and nonseptic forms of the disease. Although more studies are still required, progress in this area has been steady over the last decade with purposeful international collaboration.</p>


2020 ◽  
Author(s):  
Jia-Jin Chen ◽  
Chih-Hsiang Chang ◽  
Yen Ta Huang ◽  
George Kuo

Abstract Background: The use of the furosemide stress test (FST) as an acute kidney injury (AKI) severity marker has been described in several trials. However, the diagnostic performance of the FST in predicting AKI progression has not yet been fully discussed. Methods: In accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we searched the PubMed, Embase, Cochrane databases up to March, 2020. The diagnostic performance of the FST (in terms of sensitivity, specificity, number of events, true positive, false positive) was extracted and evaluated. Results: We identified eleven trials that enrolled a total of 1366 patients, including 517 patients and 1017 patients for whom the outcomes in terms of AKI stage progression and renal replacement therapy (RRT), respectively, were reported. The pooled sensitivity and specificity results of the FST for AKI progression prediction were 0.81 (95% CI: 0.74 - 0.87) and 0.88 (95% CI: 0.82- 0.92), respectively. The pooled positive likelihood ratio (LR) was 5.45 (95% CI: 3.96-7.50), the pooled negative LR was 0.26 (95% CI: 0.19-0.36), and the pooled diagnostic odds ratio (DOR) was 29.69 (95% CI: 17.00-51.85). The summary receiver operating characteristics (SROC) with pooled diagnostic accuracy was 0.88. The diagnostic performance of the FST in predicting AKI progression was not affected by different AKI criteria or underlying chronic kidney disease. The pooled sensitivity and specificity results of the FST for RRT prediction were 0.84 (95% CI: 0.72-0.91) and 0.77 (95% CI: 0.64-0.87), respectively. The pooled positive LR and pooled negative LR were 3.16 (95% CI: 2.06-4.86) and 0.25 (95% CI: 0.14-0.44), respectively. The pooled diagnostic odds ratio (DOR) was 13.59 (95% CI: 5.74-32.17) and SROC with pooled diagnostic accuracy was 0.86. The diagnostic performance of FST for RRT prediction is better in stage 1-2 AKI comparing to stage 3 AKI (relative DOR: 5.75, 95% CI: 2.51-13.33) Conclusion: The FST is a simple tool for the identification of AKI populations at high risk of AKI progression and the need for RRT and the diagnostic performance of FST in RRT prediction is better in early AKI population.


2020 ◽  
Vol 7 (2) ◽  
pp. 88-92
Author(s):  
Madhusudhan Mahadevaiah ◽  
Murali Mohan Nidasale Thimmaiah ◽  
Venu Sashank Yerramsetty ◽  
Jeevan Kumar ◽  
Ranjith Kumar

Objective: To evaluate the predictive and diagnostic accuracy of neutrophil gelatinase-associated lipocalin (NGAL) in acute kidney injury (AKI) and also to predict the renal replacement therapy (RRT) using NGAL as a marker. Methods: This prospective study was conducted among the patients admitted to intensive care units. Plasma samples were collected 24 hours after admission and NGAL was measured using Triage® NGAL test, a specific point of care test which is based on the mechanism of fluorescence immunoassay. The diagnostic accuracy of plasma NGAL (pNGAL) to predict AKI in critically ill patients of ICU was assessed by applying receiver operator curve (ROC) analysis and calculating the area under the curve (AUC). Results: In this study, 100 patients with the mean age of 49.56±19.2 years were included for the period of 18 months. The blood samples were withdrawn from the patients 24 and 44 hours after admission. Totally, 55% (n=55) of ICU patients were diagnosed with AKI. Plasma NGAL level was significantly increased in AKI patients as compared to non-AKI patients (742.65±734.72 vs. 255.62±440.09 μg/L; P<0.01). The sensitivity and specificity of NGAL for diagnosing AKI was 83.6% and 88.9%, respectively. The overall diagnostic accuracy was 86%. Diagnostic accuracy of NGAL for requirement of RRT was 51%. Conclusion: Plasma NGAL is a reliable marker for patients with AKI in ICU, in case the cause of kidney injury is not known. In addition, NGAL also predicts the RRT need based on AKI severity.


Author(s):  
Jitendra Meena ◽  
Jogender Kumar ◽  
Christy Cathreen Thomas ◽  
Lesa Dawman ◽  
Karalanglin Tiewsoh ◽  
...  

2019 ◽  
Vol 8 (12) ◽  
pp. 2192 ◽  
Author(s):  
Nicola Cosentino ◽  
Stefano Genovese ◽  
Jeness Campodonico ◽  
Alice Bonomi ◽  
Claudia Lucci ◽  
...  

Background. Accumulating evidence suggests that inflammation plays a key role in acute kidney injury (AKI) pathogenesis. We explored the relationship between high-sensitivity C-reactive protein (hs-CRP) and AKI in acute myocardial infarction (AMI). Methods. We prospectively included 2,063 AMI patients in whom hs-CRP was measured at admission. AKI incidence and a clinical composite of in-hospital death, cardiogenic shock, and acute pulmonary edema were the study endpoints. Results. Two-hundred-thirty-four (11%) patients developed AKI. hs-CRP levels were higher in AKI patients (45 ± 87 vs. 16 ± 41 mg/L; p < 0.0001). The incidence and severity of AKI, as well as the rate of the composite endpoint, increased in parallel with hs-CRP quartiles (p for trend <0.0001 for all comparisons). A significant correlation was found between hs-CRP and the maximal increase of serum creatinine (R = 0.23; p < 0.0001). The AUC of hs-CRP for AKI prediction was 0.69 (p < 0.001). At reclassification analysis, addition of hs-CRP allowed to properly reclassify 14% of patients when added to creatinine and 8% of patients when added to a clinical model. Conclusions. In AMI, admission hs-CRP is closely associated with AKI development and severity, and with in-hospital outcomes. Future research should focus on whether prophylactic renal strategies in patients with high hs-CRP might prevent AKI and improve outcome.


BMJ Open ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. e033150 ◽  
Author(s):  
Flavia K Borges ◽  
P J Devereaux ◽  
Meaghan Cuerden ◽  
Mohit Bhandari ◽  
Ernesto Guerra-Farfán ◽  
...  

IntroductionInflammation, dehydration, hypotension and bleeding may all contribute to the development of acute kidney injury (AKI). Accelerated surgery after a hip fracture can decrease the exposure time to such contributors and may reduce the risk of AKI.Methods and analysisHip fracture Accelerated surgical TreaTment And Care tracK (HIP ATTACK) is a multicentre, international, parallel-group randomised controlled trial (RCT). Patients who suffer a hip fracture are randomly allocated to either accelerated medical assessment and surgical repair with a goal of surgery within 6 hours of diagnosis or standard care where a repair typically occurs 24 to 48 hours after diagnosis. The primary outcome of this substudy is the development of AKI within 7 days of randomisation. We anticipate at least 1998 patients will participate in this substudy.Ethics and disseminationWe obtained ethics approval for additional serum creatinine recordings in consecutive patients enrolled at 70 participating centres. All patients provide consent before randomisation. We anticipate reporting substudy results by 2021.Trial registration numberNCT02027896; Pre-results.


2020 ◽  
pp. 20200802
Author(s):  
Yi Wang ◽  
Kaixiang Liu ◽  
Xisheng Xie ◽  
Bin Song

Acute kidney injury (AKI) is a common complication of acute pancreatitis (AP) that is associated with increased mortality. Conventional assessment of AKI is based on changes in serum creatinine concentration and urinary output. However, these examinations have limited accuracy and sensitivity for the diagnosis of early-stage AKI. This review summarizes current evidence on the use of advanced imaging approaches and artificial intelligence (AI) for the early prediction and diagnosis of AKI in patients with AP. CT scores, CT post-processing technology, Doppler ultrasound, and AI technology provide increasingly valuable information for the diagnosis of AP-induced AKI. Magnetic resonance imaging (MRI) also has potential for the evaluation of AP-induced AKI. For the accurate diagnosis of early-stage AP-induced AKI, more studies are needed that use these new techniques and that use AI in combination with advanced imaging technologies.


2019 ◽  
Vol 8 (1) ◽  
pp. 74 ◽  
Author(s):  
Jia-Jin Chen ◽  
Pei-Chun Fan ◽  
George Kou ◽  
Su-Wei Chang ◽  
Yi-Ting Chen ◽  
...  

Background: Urinary calprotectin is a novel biomarker that distinguishes between intrinsic or prerenal acute kidney injury (AKI) in different studies. However, these studies were based on different populations and different AKI criteria. We evaluated the diagnostic accuracy of urinary calprotectin and compared its diagnostic performance in different AKI criteria and study populations. Method: In accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we searched PubMed, Embase, and the Cochrane database up to September 2018. The diagnostic performance of urinary calprotectin (sensitivity, specificity, predictive ratio, and cutoff point) was extracted and evaluated. Result: This study included six studies with a total of 502 patients. The pooled sensitivity and specificity were 0.90 and 0.93, respectively. The pooled positive likelihood ratio (LR) was 15.15, and the negative LR was 0.11. The symmetric summary receiver operating characteristic (symmetric SROC) with pooled diagnostic accuracy was 0.9667. The relative diagnostic odds ratio (RDOC) of the adult to pediatric population and RDOCs of different acute kidney injury criteria showed no significant difference in their diagnostic accuracy. Conclusion: Urinary calprotectin is a good diagnostic tool for the discrimination of intrinsic and prerenal AKI under careful inspection after exclusion of urinary tract infection and urogenital malignancies. Its performance is not affected by different AKI criteria and adult or pediatric populations.


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