Literature DB >> 30122149

Predicting the requirement for renal replacement therapy in intensive care patients with sepsis.

Axel Nierhaus1, Frank Bloos2,3, Darius Cameron Wilson4, Gunnar Elke5, Patrick Meybohm6.   

Abstract

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Year:  2018        PMID: 30122149      PMCID: PMC6100710          DOI: 10.1186/s13054-018-2135-5

Source DB:  PubMed          Journal:  Crit Care        ISSN: 1364-8535            Impact factor:   9.097


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Sepsis is one of the most frequent causes of acute kidney injury (AKI) in critically ill patients, with initial organ impairment often followed by dysfunction in other systems [1]. Renal dysfunction may therefore represent one facet in the evolution towards multiple organ dysfunction syndrome (MODS) or, alternatively, may be indicative of system-wide endothelial damage caused by hyperinflammation and a positive fluid balance. Whilst numerous biomarkers have been investigated to predict renal replacement therapy (RRT) requirement, including NGAL, TIMP-2 and IGFBP-7 [2], mid-regional proadrenomedullin (MR-proADM) may also be of interest due to its involvement in capillary leakage, endothelial dysfunction and the initial stages of multiple organ failure development [3, 4]. In a secondary analysis of 1089 severe sepsis and septic shock patients enrolled in the SISPCT trial [5], RRT was initiated in 322 (29.9%) patients within the first 21 days of treatment, including 178 (55.5%; 52.2% mortality) patients at baseline and 118 (36.6%; 55.1% mortality) additional patients between days 1-7. Continuous veno-venous haemodialysis (CVVHD: N = 88; 49.4%) and haemodiafiltration (CVVHDF: N = 54; 30.3%) were the most common modes of RRT at baseline. Biomarker (PCT, MR-proADM, CRP and lactate) and standard clinical and laboratory parameters (creatinine, urea and 24-h urine output) were subsequently compared to identify RRT requirement at baseline (day 0), and predict requirement between days 1 and 7 in patients where no RRT was previously initiated. AUROC and logistic regression analysis found that urine output, MR-proADM and creatinine performed similarly in identifying RRT requirement at baseline, whereas MR-proADM more accurately predicted requirement between days 1 and 7 (Fig. 1). Previously established [3] MR-proADM cut-offs for predicting 28-day mortality found that increasing (e.g. moderate to high: N = 19; 47.5%; OR [95% CI]: 67.6 [18.5 - 247.2]) or continuously elevated (N = 35; 64.8%; OR [95% CI]: 137.5 [38.7 - 489.1]) concentrations over the first 24 h in patients where no RRT was initiated at baseline resulted in a high likelihood of subsequent RRT requirement. Conversely, few cases of RRT over the first 21 days of ICU therapy were initiated in patients with continuously low (N = 3; 1.3%) or decreasing (moderate to low: N = 1; 1.3%) MR-proADM concentrations.
Fig. 1

Identification of patients requiring renal replacement therapy (RRT) upon sepsis diagnosis and over the first week of ICU treatment. Logistic regression and AUROC analysis for the requirement of RRT in all patients at baseline (a) and during the first 7 days of ICU therapy in patients with no prior RRT (b). Multivariate Cox regression analysis was corrected for age and the presence of comorbidities. AUROC area under the receiver operating characteristic curve, CI confidence interval, CRP C-reactive protein, IQR interquartile range, LR likelihood ratio, MR-proADM mid-regional proadrenomedullin, N number, OR odds ratio, PCT procalcitonin, RRT renal replacement therapy

Identification of patients requiring renal replacement therapy (RRT) upon sepsis diagnosis and over the first week of ICU treatment. Logistic regression and AUROC analysis for the requirement of RRT in all patients at baseline (a) and during the first 7 days of ICU therapy in patients with no prior RRT (b). Multivariate Cox regression analysis was corrected for age and the presence of comorbidities. AUROC area under the receiver operating characteristic curve, CI confidence interval, CRP C-reactive protein, IQR interquartile range, LR likelihood ratio, MR-proADM mid-regional proadrenomedullin, N number, OR odds ratio, PCT procalcitonin, RRT renal replacement therapy Results suggest that increasing or continuously elevated MR-proADM concentrations, indicative of increased capillary leak, may be a useful predictor of RRT requirement during ICU therapy. Further studies are required to investigate the relationship between MR-proADM, positive fluid balance and renal replacement therapy in critically ill patients with sepsis.
  5 in total

Review 1.  Multiple Organ Dysfunction: The Defining Syndrome of Sepsis.

Authors:  Markus T Ziesmann; John C Marshall
Journal:  Surg Infect (Larchmt)       Date:  2018-01-23       Impact factor: 2.150

2.  Effect of Sodium Selenite Administration and Procalcitonin-Guided Therapy on Mortality in Patients With Severe Sepsis or Septic Shock: A Randomized Clinical Trial.

Authors:  Frank Bloos; Evelyn Trips; Axel Nierhaus; Josef Briegel; Daren K Heyland; Ulrich Jaschinski; Onnen Moerer; Andreas Weyland; Gernot Marx; Matthias Gründling; Stefan Kluge; Ines Kaufmann; Klaus Ott; Michael Quintel; Florian Jelschen; Patrick Meybohm; Sibylle Rademacher; Andreas Meier-Hellmann; Stefan Utzolino; Udo X Kaisers; Christian Putensen; Gunnar Elke; Maximilian Ragaller; Herwig Gerlach; Katrin Ludewig; Michael Kiehntopf; Holger Bogatsch; Christoph Engel; Frank M Brunkhorst; Markus Loeffler; Konrad Reinhart
Journal:  JAMA Intern Med       Date:  2016-09-01       Impact factor: 21.873

3.  The use of mid-regional proadrenomedullin to identify disease severity and treatment response to sepsis - a secondary analysis of a large randomised controlled trial.

Authors:  Gunnar Elke; Frank Bloos; Darius Cameron Wilson; Frank Martin Brunkhorst; Josef Briegel; Konrad Reinhart; Markus Loeffler; Stefan Kluge; Axel Nierhaus; Ulrich Jaschinski; Onnen Moerer; Andreas Weyland; Patrick Meybohm
Journal:  Crit Care       Date:  2018-03-21       Impact factor: 9.097

4.  Identification of developing multiple organ failure in sepsis patients with low or moderate SOFA scores.

Authors:  Gunnar Elke; Frank Bloos; Darius Cameron Wilson; Patrick Meybohm
Journal:  Crit Care       Date:  2018-06-05       Impact factor: 9.097

Review 5.  Biomarkers for prediction of renal replacement therapy in acute kidney injury: a systematic review and meta-analysis.

Authors:  Sebastian J Klein; Anna K Brandtner; Georg F Lehner; Hanno Ulmer; Sean M Bagshaw; Christian J Wiedermann; Michael Joannidis
Journal:  Intensive Care Med       Date:  2018-03-14       Impact factor: 17.440

  5 in total
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2.  The early identification of disease progression in patients with suspected infection presenting to the emergency department: a multi-centre derivation and validation study.

Authors:  Kordo Saeed; Darius Cameron Wilson; Frank Bloos; Philipp Schuetz; Yuri van der Does; Olle Melander; Pierre Hausfater; Jacopo M Legramante; Yann-Erick Claessens; Deveendra Amin; Mari Rosenqvist; Graham White; Beat Mueller; Maarten Limper; Carlota Clemente Callejo; Antonella Brandi; Marc-Alexis Macchi; Nicholas Cortes; Alexander Kutz; Peter Patka; María Cecilia Yañez; Sergio Bernardini; Nathalie Beau; Matthew Dryden; Eric C M van Gorp; Marilena Minieri; Louisa Chan; Pleunie P M Rood; Juan Gonzalez Del Castillo
Journal:  Crit Care       Date:  2019-02-08       Impact factor: 9.097

3.  Biomarkers and clinical scores to aid the identification of disease severity and intensive care requirement following activation of an in-hospital sepsis code.

Authors:  Jaume Baldirà; Juan Carlos Ruiz-Rodríguez; Darius Cameron Wilson; Adolf Ruiz-Sanmartin; Alejandro Cortes; Luis Chiscano; Roser Ferrer-Costa; Inma Comas; Nieves Larrosa; Anna Fàbrega; Juan José González-López; Ricard Ferrer
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4.  Biomarkers and clinical scores to identify patient populations at risk of delayed antibiotic administration or intensive care admission.

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Journal:  Crit Care       Date:  2019-10-29       Impact factor: 9.097

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