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University of Groningen

Acknowledging differences in Acute Kidney Injury Koeze, Jacqueline

DOI:

10.33612/diss.129582657

IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below.

Document Version

Publisher's PDF, also known as Version of record

Publication date:

2020

Link to publication in University of Groningen/UMCG research database

Citation for published version (APA):

Koeze, J. (2020). Acknowledging differences in Acute Kidney Injury: a complex clinical syndrome in critically ill patients. University of Groningen. https://doi.org/10.33612/diss.129582657

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Download date: 24-06-2021

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9

GENERAL INTRODUCTION

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11 General introduction

The global burden of critical illness is difficult to estimate because reasons for Intensive Care Unit (ICU) admission vary widely and ICU resources differ enormously worldwide.[1, 2] In the Netherlands every year approximately 80,000 patients, 1 in every 200 inhabitants, are admitted to an ICU. (https://www.stichting-nice.nl/datainbeeld/public) Reasons for ICU admission vary, and include scheduled admission after major surgery, admission after trauma, and admission with reduced consciousness due to a neurological condition or, with hemodynamic or respiratory instability caused by an infection. At the ICU patients can be monitored, the functioning of organs can be supported and interventions to treat the underlying cause(s) can be performed.

Depending on the need of admitted patients, the support or treatment consists of, fluids, antibiotics, vasopressors and mechanical support by means of mechanical ventilation or renal replacement therapy (RRT). This high level of patient care is labour intensive resulting in a high caregiver to patient ratio at ICU’s.

Despite all the interventions, ICU patients are at risk for dysfunction or failure of a single or multiple organ, e.g. multi-organ dysfunction syndrome (MODS). The kidneys are prone to dysfunction (acute kidney injury (AKI)) during ICU admission, as the reasons for admission such as shock and infection and their treatment are possible insults to the kidneys. Irrespective of the population studied and AKI definition used, the occurrence and severity of AKI are associated with increased risks of mortality ranging up to 50% in patients who need RRT during ICU admission.[3] In addition, AKI also leads to impaired recovery of kidney function and increased risk of mortality after ICU discharge even after mild AKI.[4–6]

This thesis focuses on the kidney. After an insult to the kidneys resulting in an acute decrease in glomerular filtration rate (GFR), serum creatinine accumulates in the serum over time. The degree of kidney failure is estimated by the rise in creatinine and the decrease in urine output.

Creatinine is a degradation product of creatine phosphate in muscle tissue. Under normal

circumstances, production and release of creatinine occur at a constant rate, filtration by the

glomerulus is complete and usually no reabsorption occurs.[7] Creatinine levels are dependent

on gender, muscle mass and diet.[8] Therefore, serum creatinine as a measure to monitor renal

function in individual patients is only reliable in so-called steady state conditions.(Figure 1)

Critically ill patients are not in a steady state condition and therefore, the use of serum creatinine

as a marker for kidney function may not be appropriate. First, critically ill patients are usually in

a catabolic state with wasting muscles. Second, fluid resuscitation in critically ill patients affects

serum creatinine levels. Third, some frequently used drugs, for example cotrimoxazol, influence

creatinine metabolism. Despite these issues, creatinine is still a key criterion in the definition of

AKI mainly because of the lack of a better criterion.

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0 1 2 3 4 5 6 30

350

0 50

100 150 200 250 300

Ser um c rea tini ne (μ m ol/ l)

70

0 60 50 40 30 20 10

GFR (ml /mi n/1 .7 3m

2

Time (days after kidney insult)

Detection by RIFLE

Possible baseline values for creatinine

Detection by AKIN & KDIGO window for biomarkers to early detect AKI

Improvement of kidney function

Persistent kidney damage and CKD

Figure 1. Hypothetical serum creatinine and GFR course over time in an ICU patient

Graphic representation of the acute decline in kidney function, glomerular filtration rate (GFR) (blue) and the delayed rise in serum creatinine (green) in an ICU patient. The orange lines show the delay in timing of detection using different definitions (boundaries for RIFLE, AKIN and KDIGO). The blue bar shows the possible window for biomarkers in detecting AKI. The dotted lines indicate the possible long term course of kidney function. Figure adapted from Thomas et al.[9]

As stated above AKI is a syndrome defined by a rise in serum creatinine and/or a decrease in urine output.[10] The initiative to define AKI was driven by the need to compare studies regarding renal failure in critically ill patients. This AKI definition evolved over time and the criteria are applied variably.[9, 11, 12] Current studies in critically ill patients show incidences of AKI ranging from 15 to 40%.[3–6, 13–16] The incidences differ due to different populations studied (general ICU populations, selected – surgical – populations) and the use of different AKI definitions. The difference in definition is not only associated with a difference in AKI incidence, but also influences the severity of AKI. AKI is graded based on the extent of serum creatinine rise compared with levels in the previous 48 hours or seven days, depending on the definition used.(Table 1) When recent serum creatinine values are unknown, surrogates like serum creatinine from the past year or calculated levels of serum creatinine based on an assumed normal kidney function are used.

AKI is not only defined by an increase in serum creatinine. The Risk Injury, Failure, End-Stage (RIFLE), the Acute Kidney Injury Network (AKIN) and the Kidney Disease Improving Global Outcomes (KDIGO) definitions of AKI also include urine output criteria that are based on a decrease in hourly

Chapter 1

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13 urine output.(Table 1) [10–12] For severity based on the urine output criteria the amount and duration of the decreased urine output (normal range 1.5 – 2 L/day; approximately 1 ml/kg/h for a person of 80kg) is used.(Table 1) As well as the serum creatinine criteria the urine output criteria are applied variously in research concerning AKI, either hourly data or averaged data over 6 or even 24 hours are used. The different definitions and criteria with different references or applications lead to difficulty in interpreting the results of studies.[9] This means there is still a need for a better way to define AKI.

Table 1. AKI definitions and criteria

RIFLE = Risk, Injury, Failure, Loss and End-Stage-Kidney-Disease [12]. GFR = glomerular filtration rate.

RRT = renal replacement therapy AKIN = Acute Kidney Injury Network [11] KDIGO = Kidney Disease Improving Global Outcomes [10]

The exact mechanisms underlying the development of AKI are unknown, but mechanisms are multifactorial with hypoperfusion and a subsequent inflammatory response as the central cause.

[17, 18] This inflammatory response can be triggered by breakdown products of cells (Damage Associated Molecular Patterns (DAMP’s)), activated immune cells, bacterial endotoxins (Pathogen Associated Molecular Patterns (PAMP’s)) in sepsis, reduced renal perfusion, or toxic substances

RIFLE definition [12] AKIN definition [11] KDIGO definition

[10] All [10–12]

Severity Serum creatinine criteria Urine output

criteria

1 or Risk

creatinine *1.5 Or GFR decrease >25%

creatinine + ≥ 26.4 µmol/l Or creatinine 150-200% (*1.5-2.0)

creatinine *1.5-1.9 Or creatinine + ≥ 0.3 mg/dl (26.5 µmol/l)

<0.5 ml/kg/h

≥ 6 hours

2 or Injury

creatinine *2 Or GFR decrease >50%

creatinine 200-300% (*>2.0-3.0) creatinine * 2.0-2.9 <0.5 ml/kg/h

≥ 12 hours

3 or Failure

creatinine *3 Or

creatinine ≥ 4 mg/dl (350 µmol/l) with acute increase ≥ 0.5 mg/dl

(44 µmol/l) Or GFR decrease 75%

creatinine >300% (*>3.0) Or

creatinine ≥ 4 mg/dl (354 µmol/l) with acute increase ≥ 0.5 mg/dl (44

µmol/l) Or RRT

creatinine *3 Or creatinine ≥ 4 mg/dl

(354 µmol/l) Or RRT

< 0.3 ml/kg/h

≥ 24 hours Or Anuria ≥ 12

hours

Reference

creatinine < 1-7 days < 48 hours < 7 days

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that accumulate in the body or are administered as drugs (nephrotoxins).[17, 18] The fact that AKI can exist alongside different critical illnesses makes it a syndrome, defined by criteria, rather than a well described illness itself.

To better understand the pathogenesis, and to detect AKI earlier, many biomarkers have been studied.[19] A biomarker, or biological marker, is a characteristic that is objectively measured and evaluated as an indicator of normal biological processes, pathogenic processes, or pharmacological responses to a therapeutic intervention according to the definition formulated by the Biomarkers Definitions Working Group in 2001.[20] Creatinine is a biomarker reflecting kidney function.

The ideal biomarker for AKI should reflect damaged or injured kidney cells only and has blood, plasma or urine levels correlating with the severity of the damage. In addition, it should be early detectable making interventions and reversal of damage possible and this reversal should be reflected by a decrease in biomarker levels. Lastly the ideal biomarker is measured rapidly, reliably, and affordably.[17] Not surprisingly such a biomarker does not exist. Two of the many biomarkers studied are neutrophil gelatinase associated lipocalin (NGAL) and kidney injury molecule 1 (KIM- 1). NGAL is present in neutrophils, lung tissue, the colon and the kidneys amongst others. NGAL secretion is induced by several pathological conditions. In an animal model NGAL demonstrated to be the most rapidly induced protein in ischemia induced AKI.[21] NGAL is predominantly located at the proximal tubule of the kidney.[22] KIM-1 is present in epithelial cells of the proximal tubule and production is up-regulated 48 hours after kidney injury in an ischemic rat model.[23]

Expression of different biomarkers, located at different sites in the kidney possibly reflect different renal injury patterns and may be associated with different AKI subtypes.

As the exact mechanism for the development of AKI is unknown, specific interventions aimed to prevent or treat AKI are lacking. Currently, interventions are aimed at maintaining an adequate fluid status, preventing hypotension with vasopressors and avoiding additional renal damage by avoiding nephrotoxins.[10] However, the optimal level of these targets are debatable and no evidence based guidance exists regarding the appropriate interventions. The KDIGO guidelines suggest preventive measures and in some, highly selected, populations with an anticipated insult to the kidney (scheduled surgery) care bundles have proven to be effective in reducing AKI incidence.[24, 25] Nonetheless, evidence is lacking for the general ICU population.

Thesis outline

This thesis focuses on the several unknown aspects of AKI in critically ill ICU patients, the different methods of defining AKI and, the mostly unknown pathophysiology and initiatives to prevent AKI incidence or AKI progression.

As explained earlier, there are three generally accepted definitions for AKI with the KDIGO definitions being the most recent. The subtle difference between the three definitions are the serum creatinine criteria. (Table 1) In chapter 2, the impact of these three different definitions on AKI incidence is analysed. In addition, the effect on AKI incidence of adding the urine output

Chapter 1

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15 criteria is analysed. By applying different methods to define AKI it is likely that patients fulfilling the criteria for AKI and AKI severity will differ. It can even be speculated that the different definitions identify different AKI subpopulations. If application of the different definitions result in a significant difference in AKI incidence and severity, then the comparison of studies and patient outcomes between these studies are hampered.

To prevent or treat AKI, it is important to diagnose AKI early. In chapter 3, a large group of consecutive acutely admitted ICU patients is analysed to establish whether certain signs obtained by clinical examination can be used as a predictor for AKI incidence. This clinical examination consists of a structured examination to identify signs of central circulation (macrocirculation such as blood pressure), and local microvascular organ perfusion (microcirculation), such as capillary refill time, delta temperature, and skin mottling. Macrocirculation and microcirculation are inextricably connected as microcirculation is to a certain level depend on the macrocirculation. It is of note that the micro circulation in local vascular beds is different in organs and in microvascular beds. If the macrocirculation is insufficient (circulatory shock) microcirculation can be impaired especially if local compensatory mechanisms fail. On the other hand, in critically ill patients with normal signs of macrocirculation dysfunction of the microcirculation can be present. Recently the focus of the connection between macrocirculation and microcirculation has shifted from the left sided view with cardiac output as the source of microcirculation to the right sided view with right ventricular function and venous return as factors that might impair specific microcirculatory parts of the circulation.[26, 27] Therefore, the focus in chapter 4, is on the venous side of the circuit as a factor for AKI development during ICU admission. Acutely admitted patients will be analysed regarding the association between tricuspid annular plane systolic excursion (TAPSE) as a proxy for right ventricular function and AKI incidence in the first 72 hours of ICU admission.

The main goal in detecting AKI earlier or recognising patients at risk earlier, is the possibility to initiate possible preventive measures. One of the limiting factors of the AKI definitions is the use of serum creatinine. As described earlier, serum creatinine is known to rise relatively slowly, 24 to 48 hours after an acute decline in kidney function. Therefore, a quest for a biomarker that may detect AKI earlier than serum creatinine and allowing for a timely intervention and possibly the prevention of further deterioration of kidney function and subsequent improving outcome of patients has started. In chapter 5, the predictive value of plasma neutrophil gelatinase associated lipocalin (NGAL) at ICU admission is analysed for AKI progression during the first 48 hours of ICU admission. The hypothesis is that NGAL levels at admission are associated with AKI progression in the first 48 hours of ICU admission as NGAL is suggested to be an early biomarker of AKI in critically ill patients and could detect AKI 24 to 48 hours earlier than serum creatinine.

The search for a better understanding of the pathophysiological mechanisms of AKI is

helped by immune-histological analysis of changes in affected patients. Understanding the

pathophysiological mechanisms may help in developing (therapeutically) interventions. In

chapter 6, renal injury biomarker expression, NGAL and KIM-1, in sepsis associated-AKI patients

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in comparison with healthy subjects are studied. Considering the possibility of different AKI sub- types, the hypothesis is that heterogeneous responses to sepsis will result in a variable expression of kidney injury related biomarkers reflecting differences in pathophysiological mechanisms.

Given the fact that AKI severity is associated with ICU outcome and long-term consequences, an intervention study will be conducted, in which the preventive measures suggested by the KDIGO as a bundle, the Save the Kidney-bundle will be introduced. The aim of this study is to improve outcome defined by mortality, need for RRT and AKI progression during ICU admission. The hypothesis, based on other research concerning bundled care, that implementation of bundled care targeted at prevention of AKI progression and a reduction in AKI severity, will improve patient outcome. In chapter 7, the results of this study are described.

In chapter 8, the studies in this thesis are summarised, discussed and conclusions are drawn.

Furthermore, future perspectives for AKI research are discussed.

Chapter 1

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17 References

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Sakr Y, Jimenez E, Njimi H, et al. Assessment of the worldwide burden of critical illness: the intensive care over nations (ICON) audit. Lancet Respir Med 2014;2(5):380-386.

Ostermann M, Chang RW. Acute kidney injury in the intensive care unit according to RIFLE. Crit Care Med 2007;35:1837–43

Nisula S, Kaukonen KM, Vaara ST, et al. Incidence, risk factors and 90-day mortality of patients with acute kidney injury in Finnish intensive care units: the FINNAKI study. Intensive Care Med 2013;39:420–428.

Linder A, Fjell C, Levin A, et al. Small Acute Increases in Serum Creatinine are Associated with Decreased Long Term Survival in the Critically Ill. Am J Respir Crit Care Med 2014;189:1075–1081.

Vaara ST, Pettila V, Kaukonen KM, et al. The attributable mortality of acute kidney injury: a sequentially matched analysis. Crit Care Med 2014;42:878–885.

Uchino S. Creatinine. Curr Opin Crit Care 2010;16:562–567.

Stevens LA, Levey AS. Measured GFR as a confirmatory test for estimated GFR. J Am Soc Nephrol 2009;20:2305–2313.

Thomas ME, Blaine C, Dawnay A, et al. The definition of acute kidney injury and its use in practice. Kidney Int. 2015;87(1):62-73

Kellum JA, Lameire N, Aspelin P, et al. Kidney disease: Improving global outcomes (KDIGO) acute kidney injury work group. KDIGO clinical practice guideline for acute kidney injury. Kidney Int. Suppl 2012.

http://www.kdigo.org/clinical_practice_guidelines/pdf/KDIGO AKI Guideline.pdf

Mehta RL, Kellum JA, Shah S V, et al. Acute Kidney Injury Network: report of an initiative to improve outcomes in acute kidney injury. Crit Care 2007;11:R31.

Bellomo R, Ronco C, Kellum JA, et al. Acute renal failure - definition, outcome measures, animal models, fluid therapy and information technology needs: the Second International Consensus Conference of the Acute Dialysis Quality Initiative (ADQI) Group. Crit Care 2004;8:R204-12.

Gammelager H, Christiansen CF, Johansen MB, et al. One-year mortality among Danish intensive care patients with acute kidney injury: a cohort study. Crit Care 2012;16:R124.

Gammelager H, Christiansen CF, Johansen MB, et al. Five-year risk of end-stage renal disease among intensive care patients surviving dialysis-requiring acute kidney injury: a nationwide cohort study. Crit Care 2013;17:R145.

Wald R, Quinn RR, Luo J, et al (2009) Chronic dialysis and death among survivors of acute kidney injury requiring dialysis. JAMA 302:1179–1185. https://doi.org/10.1001/jama.2009.1322; 10.1001/

jama.2009.1322

Fujii T, Uchino S, Takinami M, Bellomo R. Validation of the Kidney Disease Improving Global Outcomes Criteria for AKI and Comparison of Three Criteria in Hospitalized Patients. Clin J Am Soc Nephrol 2014;9:848–854.

Mårtensson J, Martling CR, Bell M. Novel biomarkers of acute kidney injury and failure: Clinical applicability.

Br. J. Anaesth. 2012;109(6):843-850.

Gomez H, Ince C, De Backer D, et al. A unified theory of sepsis-induced acute kidney injury: inflammation, microcirculatory dysfunction, bioenergetics, and the tubular cell adaptation to injury. Shock2014; 41:3–11.

Siew ED, Ware LB, Ikizler TA. Biological markers of acute kidney injury. J. Am. Soc. Nephrol. 2011;22(5):810- 820.

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Atkinson AJ, Colburn WA, DeGruttola VG, et al. Biomarkers and surrogate endpoints: Preferred definitions and conceptual framework. Clin. Pharmacol. Ther. 2001;69(3):89-95.

Mishra J, Ma Q, Prada A, et al. Identification of neutrophil gelatinase-associated lipocalin as a novel early urinary biomarker for ischemic renal injury. J Am Soc Nephrol 2003;14:2534–2543

Jou-Valencia D, Koeze J, Popa ER, et al. Heterogenous Renal Injury Biomarker Production Reveals Human Sepsis-Associated Acute Kidney Injury Subtypes. Crit Care Explor. 2019;1(10):e0047

Alge JL, Arthur JM. Biomarkers of AKI: A review of mechanistic relevance and potential therapeutic implications. Clin J Am Soc Nephrol. 2015;10(1):147-155.

Meersch M, Schmidt C, Hoffmeier A, et al Prevention of cardiac surgery-associated AKI by implementing the KDIGO guidelines in high risk patients identified by biomarkers: the PrevAKI randomized controlled trial. Intensive Care Med 2017;43:1551–1561.

Göcze I, Jauch D, Götz M, et al. Biomarker-guided Intervention to Prevent Acute Kidney Injury After Major Surgery: The Prospective Randomized BigpAK Study. Ann Surg. 2018;267(6):1013-1020.

Legrand M, Dupuis C, Simon C, et al. Association between systemic hemodynamics and septic acute kidney injury in critically ill patients: a retrospective observational study. Crit Care 2013;17:R278.

Chen KP, Cavender S, Lee J, et al. Peripheral edema, central venous pressure, and risk of AKI in critical illness. Clin J Am Soc Nephrol. 2016;11(4):602-608.

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Chapter 1

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