2018
DOI: 10.1007/s00134-018-5126-8
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Biomarkers for prediction of renal replacement therapy in acute kidney injury: a systematic review and meta-analysis

Abstract: PurposeAcute kidney injury (AKI) frequently occurs in critically ill patients and often precipitates use of renal replacement therapy (RRT). However, the ideal circumstances for whether and when to start RRT remain unclear. We performed evidence synthesis of the available literature to evaluate the value of biomarkers to predict receipt of RRT for AKI.MethodsWe conducted a PRISMA-guided systematic review and meta-analysis including all trials evaluating biomarker performance for prediction of RRT in AKI. A sys… Show more

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Cited by 142 publications
(117 citation statements)
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References 103 publications
(178 reference statements)
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“…The safety concern involves the risk of exposing critically ill patients to AKI-related complications (severe fluid overload, uremia, hyperkalemia, and metabolic acidosis). Furthermore, recent advancements in novel biomarkers (neutrophil gelatinase-associated lipocalin [NGAL], cystatin, calprotectin, and [insulin-like growth factor-binding protein 7] × [tissue inhibitor of metalloproteinase 2]) may provide insights into AKI patient triage, accelerating AKI or acute tubular necrosis (ATN) diagnosis and improving AKI prognosis and RRT prediction [16][17][18][19][20][21][22]. Moreover, biomarker-guided AKI intervention may lead to improved outcomes [23].…”
Section: Introductionmentioning
confidence: 99%
“…The safety concern involves the risk of exposing critically ill patients to AKI-related complications (severe fluid overload, uremia, hyperkalemia, and metabolic acidosis). Furthermore, recent advancements in novel biomarkers (neutrophil gelatinase-associated lipocalin [NGAL], cystatin, calprotectin, and [insulin-like growth factor-binding protein 7] × [tissue inhibitor of metalloproteinase 2]) may provide insights into AKI patient triage, accelerating AKI or acute tubular necrosis (ATN) diagnosis and improving AKI prognosis and RRT prediction [16][17][18][19][20][21][22]. Moreover, biomarker-guided AKI intervention may lead to improved outcomes [23].…”
Section: Introductionmentioning
confidence: 99%
“…In spite of these limitations, most AKI biomarker studies report discriminant statistics. Consequently, Klein et al had to rely on AUCs as the common denominator to compare the performance of biomarkers for prediction of the need for RRT [4]. This has some validity, as the future need for RRT is contingent on renal failure that may already be present at the time of biomarker sampling.…”
Section: Discrimination Vs Risk Stratificationmentioning
confidence: 99%
“…Biomarkers of kidney damage have been extensively studied for their accuracy in early diagnosis of AKI. Their role in distinguishing patients with high versus low likelihood of renal recovery is less clear.In a recent article in this journal, Klein et al report the results of a systematic review which meta-analyzed the ability of biomarkers to identify patients with and without subsequent need for RRT [4]. The largest body of evidence exists for NGAL that showed only fair discrimination.…”
mentioning
confidence: 99%
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“…6 Although several biomarkers have been used for detecting and treating AKI recently, these indicators are not widely accepted because the results are often contradictory. 7 It has been widely accepted that both diffusion-weighted (DW) 8,9 and blood oxygenation level-dependent (BOLD) 10,11 magnetic resonance imaging (MRI) can serve as reliable indicators for focal severe regional ischemia before renal damage occurs. BOLD can be used to evaluate the condition of renal oxygen metabolism, while DWI can be used to reflect the diffusion level of water molecules in tissues.…”
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confidence: 99%