- Open Access
Creatinine-based definitions: from baseline creatinine to serum creatinine adjustment in intensive care
© De Rosa et al. 2016
- Published: 15 March 2016
This article is one of ten reviews selected from the Annual Update in Intensive Care and Emergency medicine 2016. Other selected articles can be found online at http://www.biomedcentral.com/collections/annualupdate2016. Further information about the Annual Update in Intensive Care and Emergency Medicine is available from http://www.springer.com/series/8901.
- Chronic Kidney Disease
- Acute Kidney Injury
- Fluid Balance
- Fluid Overload
- Muscle Wasting
There is still controversy in the literature regarding the diagnosis of acute kidney injury (AKI), despite the latest definition provided by the Kidney Disease - Improving Global Outcomes (KDIGO) working group created in 2012. Standardized definitions of AKI, using changes in serum creatinine (SCr) and urine output, have enabled a better evaluation of the epidemiology of intensive care unit (ICU)‐acquired AKI, including long‐term outcomes in patients who have experienced AKI . Very few studies have considered the correlation of baseline renal function with increased creatinine concentrations during the episode of AKI . Although the AKIN (Acute Kidney Injury Network), KDIGO and ERBP (European Renal Best Practice) groups have contributed to standardizing the diagnosis and staging of AKI, the lack of a joint approach to baseline serum creatinine (bSCr) concentration has influenced the creatinine‐based AKI definitions. This concept is complicated by other factors, such as: (i) the absence of standardized laboratory methods for quantification of SCr; (ii) arbitrary cut‐offs for SCr in the diagnosis of AKI, which compromises the validity of studies because of the different classifications used [3, 4]; (iii) the presence of pre‐existing undiagnosed chronic kidney disease (CKD) in a large part of the population; (iv) unknown baseline status of renal function in patients affected by AKI. All these reasons participate to the inability to define a ‘universal bSCr’. The absence of a shared approach has resulted in variability among centers, with different interpretations of the SCr value for the definition and classification of AKI. Moreover, in the ICU setting, fluid overload and muscle wasting can delay recognition of AKI by affecting the true value of the SCr. Recent studies have demonstrated the effect of fluid balance on SCr: a positive fluid balance can dilute SCr, decreasing the ability to identify the development of AKI [5–8]. In terms of muscle wasting, there are no data available regarding its effect on SCr and, moreover, ICU‐acquired myopathy is rarely recognized because of insufficient diagnostic criteria or methodological limitations [9, 10]. Despite these limits, SCr is still considered the standard for assessing acute changes in renal function. The present review details the existing evidence related to the importance of bSCr in ICU patients, describing in particular the limits of the non‐shared approach. We also attempt to highlight the effects of fluid balance and muscle wasting on SCr based on recent evidence.
Unfortunately, in patients with suspected CKD, the back‐estimation formula overestimates the incidence of AKI and should not be used . This method, although used in several epidemiological studies, lacks scientific validation [12, 13]. Two other methods are used to determine the bSCr: the first SCr measured at admission; and the nadir (the lowest measured value) of SCr during the first three days of the ICU stay. RIFLE and KDIGO suggest using the back‐estimation formula, whereas AKIN recommends using the first measurement of SCr [3, 14, 15]. ERBP and NICE (The National Institute for Health and Care Excellence) guidelines suggest using the admission SCr value because of the correlation of this value with patient outcomes, such as mortality and need for renal replacement therapy (RRT). In a large study, Broce et al. estimated the baseline renal function in patients with AKI using the nadir SCr measured in the first three days of hospitalization. Hospital‐acquired AKI was defined according to the difference between the nadir and the subsequent peak SCr. Different thresholds of nadir‐to‐peak SCr were independently associated with increased in‐hospital mortality. In addition, the time lag between the nadir SCr and the peak SCr was seven days . Several authors have demonstrated an over‐estimation of 50 % using MDRD back‐estimation in different patient populations . In a cohort study, Siew et al. estimated bSCr in a population of almost 5000 hospitalized patients using the three different methods . The MDRD equation and nadir SCr overestimated the incidence of AKI by at least 50 % and the admission SCr underestimated it by 46 % [4, 15]. The use of admission SCr had the lowest sensitivity for diagnosis of hospital‐acquired AKI  and missed the diagnosis of community‐acquired AKI. For this reason, admission SCr should be used with caution, especially in AKI stage 1 . Moreover, in addition to these three estimation methods, some authors have also considered the pre‐admission SCr when it is available, but few have defined the timing of this measurement. For example, Matheny et al. proposed a time‐period of a maximum of 365 days and minimum of 7 days from the moment of hospital admission [14, 17]. Unfortunately, pre‐admission SCr is often not available . Recent data support a bidirectional relationship between AKI and CKD. Some patients with AKI can develop CKD because their renal function does not return to normal. For this reason, it is important to identify patients at risk of developing CKD or at risk of progressing to end‐stage renal disease (ESRD). In order to improve the use of SCr for diagnosing AKI and CKD, biomarkers of renal function could be helpful.
The development of AKI in the cardiac surgery setting is complex: exposure to nephrotoxins (e.g., radio‐contrast from cardiac catheterization, antibiotics), preexisting conditions (e.g., diabetes mellitus, CKD), and exposure to intraoperative events (e.g., duration of cardiopulmonary bypass [CPB], hypotension) can all influence the risk of AKI and patient outcomes . Elevated preoperative SCr is an independent risk factor for morbidity and mortality after cardiac surgery . Small postoperative increases in SCr of 20–25 % from preoperative baseline are associated with adverse outcomes [20–22]. However, SCr values are poor predictors of AKI in the early period after cardiac surgery . In this setting, creatinine‐based AKI definitions are not easy to use and very often the bSCr value used is the preadmission or admission SCr. Meersch et al.  defined the bSCr as the median of all values available from six months to one day prior to cardiac surgery; if this was not possible, the SCr value determined one day before cardiac surgery was used. Renal recovery from AKI was defined as an SCr value at hospital discharge equal to or less than the bSCr . Other recent studies have shown that use of the bSCr from the MDRD equation (back‐estimation) overestimated the incidence of AKI in patients undergoing cardiac surgery [15, 25]. One possible explanation could be that in these special populations, the average patient age is high and there is a large prevalence of vascular disease and consequently more CKD than in the general population. When these classes of patients are excluded, the overestimation decreases. Indeed, as explained earlier, the MDRD equation (back‐estimation) can be used in patients with normal or nearly normal premorbid GFR, but it overestimates AKI in populations with an increased prevalence of mild CKD.
In children, the bSCr is often unknown and little information is available concerning outcomes after AKI. Variations in estimating bSCr have led to clinically significant differences in ascertainment of AKI incidence. Zappitelli et al.  showed that, depending on which bSCr measurement was used, AKI patterns, incidence and outcome associations differed substantially. The authors suggested that change in estimated creatinine clearance (eCrCl) be used to define AKI and, when bSCr is unknown, the Schwartz eCrCl of 120 ml/min per 1.73 m2 should be used to estimate baseline renal function. In another study , the authors showed that bSCr was unknown in over 50 % of the study population. They used center‐specific age‐ and sex‐based normative values in all patients versus only in those with an unknown bSCr. Results showed that normative estimated bSCr might be a reasonable alternative when ‘true’ bSCr data are unavailable, which is particularly likely to occur in population‐based studies. In addition, they showed that in many children who develop AKI, SCr had not returned to bSCr values at the last pediatric ICU SCr assessment and that values were less likely to return to bSCr values in those with worse AKI. These children could be at risk of long‐term renal disease . In a pediatric cardiac surgery setting, peaks in SCr levels following CPB are not evident until 24–48 h after surgery. In a prospective observational study, Mamikonian et al. defined AKI as a doubling in SCr from preoperative baseline and using the pediatric‐modified RIFLE criteria. Their results showed a significant increase in SCr as early as 2 h following completion of CPB, with peak SCr levels occurring at 6 h after bypass .
Basu et al. analyzed the impact of this correction on pediatric AKI in a cardiac surgery setting using the same formula: the presence of AKI was associated with increased duration of mechanical ventilation, prolonged postoperative ICU length of stay, and hospital length of stay. In addition, patients with AKI had increased net fluid balance and required increased inotropic support . In another study, Moore et al.  analyzed the effect of positive fluid balance on the incidence and the outcome of AKI in adult cardiac surgery patients. The authors adjusted the SCr concentration using the same formula, and then categorized patients into three groups based on the presence or absence of AKI using AKIN criteria and pre‐ and post‐ the adjustment: Group A, with no AKI pre or post‐adjustment for fluid balance; Group B, with no AKI pre‐ but AKI post‐adjustment for fluid balance; Group C, with AKI pre‐ and post‐adjustment for fluid balance. The results showed that the adjustment of SCr for fluid balance was associated with outcomes that were midway between those of patients with and without AKI by standard criteria. This means that these patients may have less severe but still significant AKI but unfortunately have been incorrectly defined as AKI‐free because of dilution of SCr .
The diagnosis of subclinical AKI through the early identification of damage markers may lead to earlier initiation of AKI treatment or to adjustment of care, thus mitigating the adverse effects of AKI until renal function recovery. This approach could be relevant for risk stratification regarding future injury or subsequent CKD development. Emerging biomarkers have been identified that detect renal tubular damage, even in the absence of an increase in SCr, and extend the spectrum of acute renal failure to early diagnostic evaluation and treatment of renal disorders . In this scenario, the renal functional reserve (RFR) may be a relevant tool to predict the evolution of renal function. The RFR represents the capacity of intact nephron mass to increase GFR in response to stress and hence the difference between the peak stress CrCl induced by protein load and the baseline CrCl . In physiological (e.g., pregnancy, solitary kidney) or pathological (e.g., diabetes mellitus, nephrotic syndrome) hyperfiltration states, the RFR allows the GFR to increase through mechanisms that are still unclear and under investigation. A recent theory suggests the presence of a population of “dormant cortical nephrons” uninvolved in filtration during resting conditions and potentially recruitable in response to stress; nevertheless these nephrons have never been demonstrated. Glomerular hyperfiltration, which may be considered another potential mechanism, is still controversial. Indeed, in most studies, the filtration fraction appears to be unaltered [34, 35], although some authors found an increase in the transcapillary hydraulic pressure gradient [36, 37]. However, whether we consider the hypothetical recruitment of dormant cortical nephrons or the increase in net glomerular ultrafiltration pressure, these factors are both related to afferent vasodilation [34–36, 38], a mechanism which all authors agree on. Because pre‐surgical kidney function is one of the most important determinants of both mortality and AKI outcomes [20, 39], it is reasonable to assume that the RFR plays a role in a patient’s susceptibility to develop AKI.
The absence of a shared approach to AKI definitions has resulted in variability among centers, with different interpretations of SCr concentrations. The three possible methods used to define bSCr under‐ or over‐estimate renal function in both cardiac surgery and ICU settings. In pediatrics, some authors have suggested the use of changes in eCrCl to define AKI, and when the bSCr is unknown, use of the Schwartz eCrCl of 120 ml/min per 1.73 m2 could be useful to estimate baseline renal function. More studies and improved methods to estimate bSCr are clearly needed. Fluid overload and muscle wasting, often present in critically ill patients, can influence SCr and mask a diagnosis of AKI. Future investigations should address the estimation of true SCr values and the use of RFR as an important supportive tool for screening and prediction of kidney function recovery or progression to CKD.
Publication of this article was funded by Associazione Amici del Rene di Vicenza (A.A.R.VI. onlus).
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