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Open Access

Peer-reviewed

Research Article

Concentrated urine, low urine flow, and postoperative elevation of plasma creatinine: A retrospective analysis of pooled data

  • Robert G. Hahn ,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Validation, Visualization, Writing – original draft, Writing – review & editing

    robert.hahn@ki.se

    Affiliation Karolinska Institutet at Danderyds Hospital (KIDS), Stockholm, Sweden

    ⨯
  • Laurence Weinberg,

    Roles Investigation, Writing – review & editing

    Affiliations Department of Anesthesia, Austin Hospital; Melbourne, Australia, Department of Critical Care, The University of Melbourne, Melbourne, Australia

    ⨯
  • Yuhong Li,

    Roles Investigation

    Affiliation Department of Anesthesiology, Shulan International Hospital, Shuren University, Hangzhou, 3100004, Zhejiang Province, PR of China

    ⨯
  • Hans Bahlmann,

    Roles Investigation

    Affiliation Department of Anesthesiology and Intensive Care in Linköping, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden

    ⨯
  • Rinaldo Bellomo,

    Roles Writing – review & editing

    Affiliations Department of Intensive Care, Austin Hospital, Melbourne, Australia, Department of Critical Care, The University of Melbourne; Melbourne, Australia

    ⨯
  • Patrick Y. Wuethrich

    Roles Investigation, Writing – review & editing

    Affiliation Department of Anesthesiology and Pain Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland

    ⨯

Abstract

Elevations of plasma creatinine are common after major surgery, but their pathophysiology is poorly understood. To identify possible contributing mechanisms, we pooled data from eight prospective studies performed in four different countries to study circumstances during which elevation of plasma creatinine occurs. We included 642 patients undergoing mixed major surgeries, mostly open gastrointestinal. Plasma and urinary creatinine and a composite index for renal fluid conservation (Fluid Retention Index, FRI) were measured just before surgery and on the first postoperative morning. Urine flow was measured during the surgery. The results show that patients with a postoperative increase in plasma creatinine by >25% had a high urinary creatinine concentration (11.0±5.9 vs. 8.3±5.6 mmol/L; P< 0001) and higher FRI value (3.2±1.0 vs. 2.9±1.1; P< 0.04) already before surgery was initiated. Progressive increase of plasma creatinine was associated with a gradually lower urine flow and larger blood loss during the surgery (Kruskal-Wallis test, P< 0.001). The patients with an elevation > 25% also showed higher creatinine and a higher FRI value on the first postoperative morning (P< 0.001). Elevations to > 50% of baseline were associated with slightly lower mean arterial pressure (73 ± 10 vs. 80 ± 12 mmHg; P< 0.005). We conclude that elevation of plasma creatinine in the perioperative period was associated with low urine flow and greater blood loss during surgery and with concentrated urine both before and after the surgery. Renal water conservation-related mechanisms seem to contribute to the development of increased plasma creatinine after surgery.

Citation: Hahn RG, Weinberg L, Li Y, Bahlmann H, Bellomo R, Wuethrich PY (2023) Concentrated urine, low urine flow, and postoperative elevation of plasma creatinine: A retrospective analysis of pooled data. PLoS ONE 18(8): e0290071. https://doi.org/10.1371/journal.pone.0290071

Editor: Rolando Claure-Del Granado, Universidad Mayor de San Simon Facultad de Medicina, PLURINATIONAL STATE OF BOLIVIA

Received: March 10, 2023; Accepted: August 1, 2023; Published: August 17, 2023

Copyright: © 2023 Hahn et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Data Availability: All relevant data are within the paper and its Supporting Information files.

Funding: The author(s) received no specific funding for this work.

Competing interests: The authors have declared that no competing interests exist.

Introduction

Plasma creatinine (pCr) is the most widely used index of impaired kidney function. Elevation of pCr occurs in approximately one-third of the patients which have undergone major surgery, and 10% reach either a 50% increase or an increase of 26.4 μmol l-1 which fulfils the criterion for Stage I of acute kidney injury (AKI) [1–3]. These events are associated with a statistically increased risk of long-term morbidity and mortality [4–6]. However, most increases are transient, being highest on the first or second postoperative day, and there is no accepted pathophysiological mechanism to explain them. Nonetheless, postoperative elevations in pCr are still considered a complication because they are believed to reflect reversible surgery-induced functional or morphological injury to the kidneys. Other biomarkers have been proposed, such as neutrophil gelatinase-associated lipocalin (NGAL) and chemokine (C-C motif) ligand 14 (CCL14), but none of them has yet replaced pCr as key indicator of AKI [7–9]. Therefore, a rise in pCr still serves as the fundamental indicator of postoperative AKI and might even be the only factor that determines whether a clinical trial recommends a treatment or not [10].

We have previously shown that concentrated urine is overrepresented in patients undergoing surgery and that a minor rise in pCr frequently occurs during the night before surgery [11]. Therefore, postoperative elevations of pCr may reflect pre-existing limitations of glomerular filtration that are exacerbated by the fluid retention that occurs during surgery.

We aimed to further explore the relationships between concentrated urine and postoperative pCr by summarizing data from 642 patients from eight studies performed in four countries (Australia, China, Sweden, and Switzerland), where data were collected using a similar methodology. This study aimed to test the hypothesis that a robust statistical relationship exists between urinary concentration, low urine flow, and pCr increase after surgery.

Materials and methods

We pooled data from eight prospective studies conducted between 2011 and 2019 where pCr changes were measured immediately before surgery and in the first postoperative morning [12–19]. The urinary concentration of creatinine (uCr) was measured at the same time (90%), and a robust index of renal water conservation was obtained by calculating the Fluid Retention Index (FRI). These studies primarily included open or laparoscopic abdominal procedures, with one study including hip fracture operations [13]. The exclusion criteria were age <18 years and severe cardiac lung, hepatic, or kidney disease (CKD < 3b). The investigators agreed to participate in the secondary aggregated analyses. The reporting adhered to the STROBE checklist.

Ethics

All studies were carried out according to the Declaration of Helsinki and approved by the appropriate Ethics Committee. The patients were recruited and studied between July 7, 2012, and November 28, 2019. They signed an approval for participation after receiving verbal and written information about the purpose and content of each study. We included all patients in the 8 studies for whom both a pre- and a postoperative pCr analysis was available. The manuscript was authored based in de-identified data during 2021 and 2022.

Measurements

The patients arrived at the operating theatre between 7 am and 9 am after fasting overnight. General anesthesia with tracheal intubation was used as conventional anesthesia. Urine was measured via an indwelling catheter, and the urine volume was measured from the onset of anesthesia until the end of the surgery; in some instances, urine collection continued until discharge from the postoperative care unit.

Fluid therapy consisting of lactated Ringer’s solution was supplemented with 6% hydroxyethyl starch (130/0.4), albumin (20%), or blood products at the clinicians’ discretion.

Monitoring included pulse oximetry, heart rate measurement, invasive arterial pressure measurement, and electrocardiography. Data were recorded every 5–15 min and the mean individual value of the mean arterial pressures (MAP) was calculated and reported. Blood loss was estimated based on the amount of blood in the suction tubes and weighed sponges at the end of the study. All excreted urine during the surgery was measured.

Preoperative blood and urine sampling was performed the day before surgery or just before the induction of anesthesia. Blood and urine samples were also collected on the morning after surgery. The pCr and concentration was measured in both blood samples. The urine samples were analyzed for uCr (enzymatic method), osmolality (freezing point depression), and specific gravity (refractometry) by the certified clinical chemistry laboratory at each hospital. Urine color was assessed by visual estimation using a published color chart [20].

These urinary biomarkers represent metabolic waste substances that occur in higher urine concentrations when the kidneys conserve water. The rationale is that end products from the metabolism of mostly erythrocytes and muscle are excreted at a relatively constant rate throughout the day regardless of the turnover of water.

Fluid retention index (FRI)

The FRI is a composite measure of renal water retention based on the above four urinary biomarkers, according to the scheme shown in Table 1 [21]. These biomarkers are inter-correlated in an exponential fashion [22]. The urinary creatinine concentration shows a greater response to variations in habitual water ingestion than the other biomarkers, in particular when the intake is low [23]. However, all four biomarkers can still be calibrated into each other to generate a robust index that is less sensitive to outliers, as individual biomarkers may occasionally be distorted due to diet and medication. The scores assigned to each biomarker are summarized, and the mean taken as the FRI value. Dehydration by ≥ 5% of the body weight corresponds to FRI ≥ 4 [21,24,25]. uCr was included in the FRI score but was also reported separately, as pCr is the reference outcome measure.

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Table 1. Description of the four dimensions of the Fluid Retention Index (FRI).

https://doi.org/10.1371/journal.pone.0290071.t001

The FRI has been evaluated in 57 healthy volunteers aged 17–69 of both genders who performed recreational exercise during a median time of 90 min; the FRI value changed by 31% in response to a loss of body water amounting to 1% of the body weight (P< 0.001). The correlation coefficients for the relationships between the four variables varied between 0.71 and 0.84 [21]. The correlation coefficients were essentially the same when relationships were re-evaluated in 300 volunteers not subjected to exercise [22].

Statistics

Data showing a normal distribution are presented as the mean ± standard deviation (SD). Differences between groups were evaluated by one-way analysis of variance (ANOVA) followed by the Scheffé post hoc test, as appropriate, when more than two groups were compared.

Correlations between perioperative variables shown to differ depending on the pCr change were studied by multivariate logistic regression analysis using the routine implemented in SPSS version 28.0.0 for Mac (IBM Corp., Armonk, NY).

Data showing a skewed distribution are reported as the median (25th–75th percentile limits), and differences were assessed using the Mann-Whitney U test (two groups) or the Kruskal-Wallis test followed by the pairwise post hoc test implemented in SPSS. Changes over time were assessed using the Wilcoxon matched-pair test (two measurements). P< 0.05 was considered statistically significant.

Results

The analysis included 642 patients aged 62 ± 13 years (mean ± SD) with a body weight of 72±16 kg. The operating time was 4.2 ± 2.1 h. Basic demographic information on the different studies is summarized in Table 2.

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Table 2. Key data from the analyzed studies.

https://doi.org/10.1371/journal.pone.0290071.t002

The change in pCr from just before surgery to the first postoperative day was divided into four ranges: (1) decrease, (2) increase up to 25%, (3) increase by 26–50%, and (4) increase by >50%. The last group, which fulfilled the criteria for AKI Stage I, constituted 6.1% of the cohort. This fraction increased to 8.6% when the alternative criterion i.e., a perioperative increase in pCr by ≥ 26.5 μmol l-1, was applied.

Preoperative data

The four groups with different plasma creatinine responses to surgery did not differ in age or baseline plasma creatinine; body weight was higher in Groups 3 and 4 than in Groups 1 and 2 (pooled weights 83 ± 15 kg vs. 70 ± 15 kg, P< 0.001; Table 3).

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Table 3. Results of the pooled analysis of physiological and biochemical data.

https://doi.org/10.1371/journal.pone.0290071.t003

The urinary creatinine concentration before surgery was higher (11.0 ± 5.9 vs. 8.3 ± 5.6 mmol l-1; P< 0.001) as was the FRI value (3.2 ± 1.0 vs. 2.9 ± 1.1; P< 0.04) in the patients who later developed an increase in pCr.

Data during surgery

As shown in Table 3, despite similar operative times, the urinary output and urine flow decreased with a stepwise increase in pCr (Kruskal-Wallis test, both P<0.001). For example, the median urine flow rate during surgery was 1.5 (0.9–2.5) ml min-l in Group 1, 1.1 (0.5–2.0) ml min-l in Group 2, 0.7 (0.4–1.3) ml min-l in Group 3, and 0.6 (0.4–1.3) ml min-1 in Group 4. Data were markedly skewed as illustrated by the wide 25th-75th percentile range. By contrast, blood loss increased with stepwise changes in plasma creatinine levels (P< 0.001, Fig 1). Patients in Group 4 had a lower MAP than the others (73 ± 10 vs. 80 ± 12 mmHg; P< 0.005).

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Fig 1.

(A) The blood loss during surgery and (B) the urine flow rate during the surgery depending on (C) the degree of perioperative change in pCr. Data are the median and 25th-75th percentiles.

https://doi.org/10.1371/journal.pone.0290071.g001

Logistic regression was performed to study whether the four factors for which ANOVA showed a between-group difference independently predicted the change in pCr. However, singularities in the Hessian matrix in multinominal regression suggested that Groups 1–2 and 3–4 should be merged. The analysis then showed that uCr before surgery (P< 0.03), the urine flow (P< 0.02), and the logarithm-transformed blood loss (P< 0.02) but not MAP served as independent predictors of an increase in pCr by > 25%.

Postoperative data

Overall, uCr and FRI showed the same trends in the first postoperative morning as they did immediately before surgery. These indices of concentrated urine showed higher values with increased pCr levels during the perioperative period (P< 0.001; Table 3, Fig 2).

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Fig 2.

The mean value of the pre- and postoperative measurements of (A) The urinary creatinine (uCr) concentration and (B) the Fluid Retention Index (FRI) depending on the perioperative change in pCr (Study groups 1 to 4). Data are the median and 25th-75th percentiles.

https://doi.org/10.1371/journal.pone.0290071.g002

The postoperative uCr was higher than the preoperative concentration in Groups 3 and 4 (from 11.0 ± 5.9 to 13.0 ± 7.0 mmol l-1; P = 0.041) as was also the FRI value (from 3.5 ± 1.1 to 4.0 ± 1.0; P< 0.002). The perioperative change in uCr did not reach statistical significance in Groups 1 and 2 (P = 0.08), but the FRI increased significantly (from 2.9 ± 1.1 to 3.5 ± 1.1; P< 0.0001).

Discussion

Key findings

A postoperative increase in pCr is considered a surgical complication based on the belief that it represents acute functional or organic damage to the kidneys. The present study challenges this view by identifying circumstances under which a postoperative increase in pCr is more likely to be a natural consequence of excessive fluid retention and not necessarily indicating kidney damage. Our analysis shows that postoperative elevations in pCr were more likely if patients had concentrated urine before surgery, as evidenced by higher uCr and FRI. Elevations of pCr were further associated with lower urine flow, greater blood loss during surgery, and more concentrated urine in the first postoperative morning. MAP was also significantly lower in patients with the greatest elevation in pCr levels, but the magnitude of the difference was small.

Postulated mechanisms

High uCr and high FRI before the surgery is consistent with "concentrated urine", which is common in the general population [22] and is associated with low habitual intake of water [23,26,27], elevated plasma vasopressin [28], and slightly lower glomerular filtration rate (GFR) [29]. A retrospective review of data from our laboratory supports that uCr >7 mmol l-1 had an ioxhexol-measured GFR being 20% lower than other patients with lower uCr [30].

Fluid retention becomes aggravated during surgery due to the anesthesia-induced reduction of MAP, which unloads the baroreceptors and thereby activates the sympathetic nerves leading to the kidneys. Such activation increases sodium and water reabsorption, induces renin secretion, and further reduces the GFR [31,32]. This chain of events is supported by experimental anesthesia (without surgery) during which plasma renin but not the vasopressin concentration increases [33,34] while diuretic response to crystalloid fluid is strongly impaired (-85%) [35,36]. The urine becomes more concentrated when the urine flow falls below 1 ml min-1 during surgery [37], which occurred in 38% of the patients in this study (Table 3). However, the fluid retention due to low MAP during surgery resolves soon after awakening from general anesthesia [38].

In the present study, renal water conservation was still strong on the first postoperative morning. Concentrated urine due to low habitual intake of water reacts slowly to increased ingestion of fluid (>1 week) [23] except for dramatic changes [39,40]. Here, the postoperative fluid therapy was not large enough to reverse the kidney´s efforts to conserve water. However, water-sparing hormones (aldosterone, cortisol etc.) excreted due to “surgical stress” may have contributed to the postoperative fluid retention.

Pre-existing limitations of kidney function are likely to make patients more susceptible to developing AKI as defined based on an elevation of pCr. In one of our studies, most patients who developed Stage I AKI after surgery had a small rise in pCr during the immediate preoperative period [11]. Regardless of habitual water intake, patients being close to their maximum capacity to excrete creatinine are probably more likely than others to develop AKI in response to transient anesthesia-induced fluid retention. It might be for this reason, rather than because of surgery, that these patients have higher long-term morbidity in cardiovascular disease [4–6].

Kidney damage?

The uCr concentration is the sum of the glomerular filtration, renal water conservation, and tubular secretion of creatinine. Creatinine is filtered freely in the glomeruli; however, tubular reabsorption of water concentrates creatinine by a factor of approximately 100. The maximal threshold for excretion is probably only two to three times higher, although the limit is certainly lower when there is pre-existing kidney injury. Tubular secretion may increase creatinine excretion by 10–30%.

The uCr concentration and other FRI components are strongly intercorrelated in a mildly non-linear fashion [22,23] and any departure from their expected relationship could indicate temporary reduction of the GFR. We have reported such discrepancies during surgery in two of our studies in which urine was also assessed during that period [17,19]. Here, uCr during surgery was lower than expected in patients who had concentrated urine before surgery [16] and in those who developed a postoperative increase in pCr [18].

Our postoperative data support that the kidneys strove to filter the creatinine that had not been adequately excreted during the surgery, even in patients who developed Stage I AKI. Elevation of pCr due to functional or organic damage to kidney cells is expected to co-exist with impaired ability to concentrate creatinine, but the ability to concentrate creatinine after surgery was well preserved in this study.

Blood flow and AKI

Reduced blood flow to the kidneys is a key factor in the development of AKI [41]. In sheep the blood flow to the kidneys decreased by 2/3 from general anesthesia alone [42] and is likely to be further aggravated by pre-existing dehydration and hypovolemia. Acute dehydration of 5–6% of the body weight, which is indicated at the far right of the FRI scale, is associated with a risk of anuria in conscious humans. In the dog dehydration by 9% of the body weight followed by a diuretic and peritoneal dialysis that increased the hematocrit by 60% which caused anuria and periods of intermittent blood flow to the inner cortex and possibly caused anoxic damage [43]. Induction of central hypovolemia in the pig reduced the blood flow to the kidneys by 90% while the reduction of the blood flow to the splanchnic region was only half as great [44]. Restrictive fluid therapy during surgery increases the likelihood of a postoperative rise in plasma creatinine [2,10] but if the elevation is due to impaired blood flow or excessive fluid retention is unclear.

Limitations and strengths

The diagnostic tools used to identify acute kidney injury are questioned. The current criteria based on pCr elevation and urine output are not optimal [45]. Whilst it appears to be promising that novel and more specific biomarkers may be able to predict AKI [7–9] it is however unclear whether some of the commercially available biomarker kits adequately indicate physiological or morphological kidney injury [46,47].

The FRI value is a composite index based on four biomarkers of concentrated urine that also includes uCr, which was studied separately. The other two objective indices, urine osmolality and urine-specific gravity, showed the same overall trend as uCr but the between-group differences were smaller and usually not statistically significant (Table 3). This can be understood from the greater differences in uCr compared to the other two biomarkers for variations in habitual intake of water [23] and the non-linearity between in that has been observed in a cross-sectional analysis [22]. Some of the non-linearity between the biomarkers have been rectified in the construction of the FRI scale (Table 1).

Previous studies have shown a relationship between MAP and postoperative AKI [48–50]. Our data partially support this relationship, but differences in MAP between the groups and the recorded periods of very low pressure were small. Therefore, preoperative renal water conservation probably caused the main difference between the study groups. The surgical blood loss also differed between the groups, but the bleeding in the group with plasma creatinine elevation in the highest range was still not severe (median, 350 ml). However, the variables indicating renal water conservation hardly differed between Groups 3 and 4, which leaves MAP, blood loss, and possibly body weight to be the remaining factors that promoted a rise in pCr of >50% rather than of 25–50%.

All studies did not contribute with data on all variables. The study of esophageal surgery did not measure FRI or uCr [16] and another study provided no postoperative data on these variables [14]. The number of patients contributing with uCr and urine-specific gravity was 506 while data on urine osmolality was available in 496 patients.

No follow-up was conducted to determine whether the increase in pCr persisted in any of the studies. We can assume that this is not common, but permanent kidney injury might have occurred in a few patients.

Strengths of this report include that the eight included studies were prospective and that patients with severe cardiac lung, hepatic, or kidney disease were excluded.

Conclusions

Postoperative elevation of pCr correlated with low urine flow during surgery and with concentrated urine, both before and after surgery. A likely triad of causes include low dietary intake of water or preoperative dehydration, increased adrenergic activity in the kidneys during surgery, and a low pre-existing functional threshold for excretion of creatinine.

Acknowledgments

The authors are grateful to all collaborators who helped to collect the data in the original studies.

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