Lawrence Sc Law1, Elaine Ag Lo2, Siang F Yeoh3. 1. Alexandra Hospital, National University Health System, Singapore. 2. Department of Pharmacy, National University Hospital, National University Health System, Singapore; Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong. 3. Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong.
Abstract
BACKGROUND: The definition of acute kidney injury (AKI), based on serum creatinine and urine output, bears significant limitations in intensive care units (ICUs). Serum creatinine has significant lag-time as it needs to be accumulated and stabilized at a new level whereas urine output is affected by diuresis, antidiuresis, and antinatriuresis. Direct measurement of creatinine clearance (CrCldirect = urine creatinine × urine flow rate/serum creatinine) over a short interval (3-6 hours) was explored to identify patients with AKI. MATERIALS AND METHODS: We reanalyzed a previous published dataset. We included 11 patients who had serial daily urine collections over 0 to 3 days of stay in ICU and baseline (day -1) serum creatinine levels. RESULT: The ratio of CrCldirect on day 0 to baseline creatinine clearance predicted the progression of AKI over the subsequent 1 to 3 days of ICU stay [area under receiver operating characteristic curve = 0.933 and 95% confidence interval (CI) = 0.780-1.000]. DISCUSSION: CrCldirect over a short interval may be an alternative marker of kidney function. Future studies may explore its use to identify patients with AKI who may benefit from early renal replacement therapy. HOW TO CITE THIS ARTICLE: Law LSC, Lo EAG, Yeoh SF. Direct Measurement of Creatinine Clearance over a Short Interval in Intensive Care Settings. Indian J Crit Care Med 2021;25(7):800-802.
BACKGROUND: The definition of acute kidney injury (AKI), based on serum creatinine and urine output, bears significant limitations in intensive care units (ICUs). Serum creatinine has significant lag-time as it needs to be accumulated and stabilized at a new level whereas urine output is affected by diuresis, antidiuresis, and antinatriuresis. Direct measurement of creatinine clearance (CrCldirect = urine creatinine × urine flow rate/serum creatinine) over a short interval (3-6 hours) was explored to identify patients with AKI. MATERIALS AND METHODS: We reanalyzed a previous published dataset. We included 11 patients who had serial daily urine collections over 0 to 3 days of stay in ICU and baseline (day -1) serum creatinine levels. RESULT: The ratio of CrCldirect on day 0 to baseline creatinine clearance predicted the progression of AKI over the subsequent 1 to 3 days of ICU stay [area under receiver operating characteristic curve = 0.933 and 95% confidence interval (CI) = 0.780-1.000]. DISCUSSION: CrCldirect over a short interval may be an alternative marker of kidney function. Future studies may explore its use to identify patients with AKI who may benefit from early renal replacement therapy. HOW TO CITE THIS ARTICLE: Law LSC, Lo EAG, Yeoh SF. Direct Measurement of Creatinine Clearance over a Short Interval in Intensive Care Settings. Indian J Crit Care Med 2021;25(7):800-802.
There has been an ongoing debate about the appropriate timing of initiating renal replacement therapy (RRT) for intensive care patients with acute kidney injury (AKI) but without metabolic disorders or fluid disturbance.[1-5] The current evidence favors the delayed strategy, or namely, the conventional strategy. Except for a single-center clinical trial,[5] other multicenter trials did not find significant survival benefit for the early strategy.[1-3] One of the caveats is that the definition[6] of AKI, based on serum creatinine and urine output, bears significant limitations in intensive care settings. During the state of AKI, serum creatinine lags behind the actual drop of the glomerular filtration rate (GFR).[6] Also, the production of creatinine is likely reduced in intensive care settings due to immobilization and reduced absorption from diet. On the other hand, urine output as an estimate of kidney function is confounded by multiple factors. Kidneys physiologically concentrate urine through antidiuresis and antinatriuresis so urine output may decrease due to postglomerular reabsorption without a drop in GFR.[7] Conversely, severe tubular dysfunction or diuretics causes a “normal” urine output despite reduced GFR.[7] These situations occur commonly in intensive care settings.[7]Direct measurement of creatinine clearance in short intervals (3–6 hours) may be a potential alternative to identify patients with AKI. The conventional measurement of creatinine clearance is based on 24-hour urine collection to mitigate the physiological diurnal variation of creatinine clearance, urine output, serum creatinine, and urine creatinine.[8-10] However, in intensive care settings, the fluctuation of the true creatinine clearance due to rapidly changing clinical course (possibly >50%) may supersede its physiological diurnal variation (8–25%[8-10]). Previous studies have demonstrated direct measurement of creatinine clearance to be sensitive to temporal variations as short as 3-hour intervals.[10]
Materials and Methods
Reanalyzing Previous Published Data
We reanalyzed the dataset published by Waikar, Sabbisetti, and Bonventre.[11] We included the 11 patients who had serial daily urine collections over 0–3 days of stay in intensive care units (ICU). The extracted variables were age (years), gender, ethnicity, weight (kg), length of ICU stay (days), duration of urine sample collection (hours), baseline and current serum creatinine (mg/dL), hourly urine output (mL/hour), and urine creatinine concentration (mg/mL). Baseline (day-1) serum creatinine was the latest level of creatinine prior to the acute crisis. We adopted the definition of AKI from the Kidney Disease Improvement Global Outcomes (KDIGO) guidelines.[6] The outcome was the progression of AKI stages according to the KDIGO guidelines on day 1–3 days of ICU stay from the stage of AKI on day 0 of ICU stay.We calculated the creatinine clearance according to the direct measurement (CrCldirect)[8-10] for day 0–3 of ICU stay,However, baseline (day-1) creatinine clearance was computed according to the Cockcroft–Gault Equation[12] (CrClCG) as there was no baseline data for urine output and urine creatinine prior to admission to the intensive care unit. Cockcroft–Gault Equation was applicable to the calculation of baseline creatinine clearance as serum creatinine was assumed to be stabilized at non-AKI states.The area under curve (AUC) of the receiver operating characteristic curve was computed by SPSS 21. The AUC of CrCldirect (day 0), CrClCG at baseline (day-1), and their ratio (CrCldirect,day0/CrClCG,baseline) were calculated against the outcome, any progression of stages of AKI from day 0 of ICU stay. The statistically significant value was set at p <0.05. CI of 95% was shown.
Results
Eleven patients (54% female; mean ± SD age, 59.9 ± 9.7 years; mean ± SD weight, 84.7 ± 35.5 kg) had complete records of serum and urine creatinine as well as urine output throughout the stay of ICU. The mean ± SD of length of ICU stay was 1.8 ± 0.8 days. The mean ± SD of CrCldirect,day0 and CrClCG,baseline were 86.1 ± 66.1 and 60.5 ± 52.9 mL/minute, respectively. The mean ± SD of duration of urine collection on day 0 was 5.5 ± 0.8 hours.We found that the AUC of CrCldirect,day0/CrClCG,baseline ratio was 0.933 (95%CI = 0.780–1.000 and p = 0.018) in predicting the progression of AKI. The AUC of CrCldirect,day0 and CrClCG,baseline were 0.833 (95%CI = 0.535–1.000 and p = 0.068) and 0.600 (95%CI = 0.247–0.953 and p = 0.584), respectively.
Discussion
In this small reanalysis of previous published data, the CrCldirect,day0/CrClCG,baseline ratio was a significant predictor of the progression of AKI in ICU stay. CrCldirect,day0/CrClCG,baseline ratio represents the acute change of creatinine clearance at the state of AKI against the baseline creatinine clearance. The possible explanation was that the direct measurement of creatinine clearance provided the spot estimation of GFR over a short interval (3–6 hours) and it did not depend on the duration of oliguria (at least 12 hours to diagnose stage 2/3 of AKI[6]) or the accumulation of serum creatinine (to be stabilized over 24–48 hours[6]). This method may identify a subgroup of patients who are at risk of progression to higher stages of AKI and benefit from early RRT. The alternative explanation was that the fulfillment of the criteria of AKI according to KDIGO[6] was de facto delayed due to various reasons aforementioned. Instead of predicting, the CrCldirect,day0/CrClCG,baseline ratio provided a more “real-time” estimation of the change of GFR and subsequently revealed by the stages of AKI according to the KDIGO[6] definition.Hourly urine output is thought to be the only “online” marker of kidney function whereas serum biomarkers have significant lag-time to be accumulated and stabilized at a new level.[6,13,14] Direct measurement of creatinine clearance in short intervals may be an alternative “online” marker of kidney function. It is more robust than urine output alone because diuresis, antidiuresis, and antinatriuresis theoretically affect the urine volume by postglomerulus modifications but not the amount of creatinine excreted in urine, which is mainly governed by the process of glomerulus filtration.[14] Furthermore, direct measurement of creatinine clearance provides an estimated value of GFR for medication dosage adjustment whereas serum creatinine and urine output fail to do so. Cockcroft–Gault equation and other serum creatinine-based equations do not apply during the state of AKI and likely overestimate the real GFR (due to the delayed accumulation of serum creatinine in AKI). There is no formula linking urine output to an estimated GFR value.While serum creatinine is affected by absorption from diet and release from muscles, direct measurement of creatinine clearance is theoretically not affected. Whenever serum creatinine is changed for any reasons, the creatinine filtered in the glomerulus will change proportionally and instantaneously. However, direct measurement of creatinine clearance is still susceptible to the influence from the tubular secretion of creatinine as the amount of creatinine excreted is the sum of creatinine filtered by the glomerulus and creatinine secreted from the renal tubules. Medications that suppress tubular secretion of creatinine, for example, cimetidine and trimethoprim-sulfamethoxazole, would add further variability to this effect.Furosemide stress test[15,16] was well studied to predict the progression of AKI and requirement for RRT. However, patients with frank hypovolemia may not tolerate intravenous furosemide and the efficacy was not well validated for patients with late chronic kidney disease,[16] whereas direct measurement of creatinine clearance theoretically do not pose these limitations. Furthermore, the furosemide stress test cannot be used for continuous monitoring due to its intrinsic limitation for repeated testing.
Limitations
First, the diurnal variation of serum creatinine concentration is often neglected in clinical practice due to convenience. The reported diurnal variation of serum creatinine concentration ranged from 8 to 25%, which is indeed comparable to the diurnal variation of directly measured creatinine clearance, from 9 to 25% for normal healthy individuals.[8-10] The drop in creatinine clearance was believed to be at 2000 to 0800 hours.[8-10] As long as the interpretation of the measured creatinine clearance in the right context like blood glucose which also has significant diurnal variation, a direct measurement of creatinine clearance may be meaningful.Second, hourly urine output requires indwelling urinary catheter. Sampling urine creatinine concentration and recording the hourly readings are also labor intensive. Nevertheless, these frequent measurements could be still acceptable in critical care setting.Third, creatinine clearance is a product of three different measured parameters, which means the errors may add up. The error of measuring serum and urine creatinine concentration was cited to be about 4–5%.[17] The error for visual urine output was estimated to be 26%.[7] According to the propagation of error, assuming the errors do not correlate with each other,The expected error of the direct measurement of creatinine clearance is about 27%, which is also comparable to the error of eGFR, cited as 30% in previous studies.[18] As the urine output contributes most of the error variance, improvement in measuring urine output would substantially increase the accuracy, for example, automatic measurement with a dedicated device.Forth, the direct measurement of creatinine clearance wound be inaccurate if any of the composite parameters are inaccurate. For example, urine output would be inaccurate if there is a blockage in the urinary system or the urine collecting system; isopropyl alcohol intoxication may affect some of the creatinine assays.[19] Nevertheless, these confounding factors would affect the accuracy of KDIGO AKI definition and kinetic GFR also.Fifth, creatinine clearance slightly overestimates GFR due to a small amount of renal tubular secretion of creatinine.[20] This overestimation is more pronounced at night and this paradoxically reduces the diurnal variation of creatinine clearance than the inulin clearance.[10] This applies to all estimations based on creatinine.Sixth, the empirical comparison was performed on a small sample from a past dataset. Some patients had multiple measurements. Future studies with larger and more representative samples are warranted.
Conclusion
Direction measurement of creatinine clearance may be an alternative method to identify patients with AKI and to guide the initiation of RRT in intensive care settings.
Orcid
Lawrence SC Law
https://orcid.org/0000-0002-0429-2632Elaine AG Lo
https://orcid.org/0000-0001-9241-9236Siang F Yeoh
https://orcid.org/0000-0002-0763-2639
Authors: Ron Wald; Neill K J Adhikari; Orla M Smith; Matthew A Weir; Karen Pope; Ashley Cohen; Kevin Thorpe; Lauralyn McIntyre; Francois Lamontagne; Mark Soth; Margaret Herridge; Stephen Lapinsky; Edward Clark; Amit X Garg; Swapnil Hiremath; David Klein; C David Mazer; Robert M A Richardson; M Elizabeth Wilcox; Jan O Friedrich; Karen E A Burns; Sean M Bagshaw Journal: Kidney Int Date: 2015-07-08 Impact factor: 10.612
Authors: Alexander Zarbock; John A Kellum; Christoph Schmidt; Hugo Van Aken; Carola Wempe; Hermann Pavenstädt; Andreea Boanta; Joachim Gerß; Melanie Meersch Journal: JAMA Date: 2016 May 24-31 Impact factor: 56.272