Association of De Novo Dipstick Albuminuria with Severe Acute Kidney Injury in Critically Ill Septic Patients

Abstract

Background

Acute kidney injury (AKI) occurs frequently in septic patients. Albuminuria may play a role as an early marker of septic AKI. The potential association between de novo dipstick albuminuria (DA) and septic AKI has not been examined.

Methods

We conducted a retrospective observational study of 423 critically ill septic patients without chronic kidney disease (CKD) or prior positive DA within 3 months before admission. The association between de novo DA within the first 24 h of presentation and AKI at 72 h was examined.

Results

AKI was identified in 268/423 (63%) patients and 20/423 (4.7%) required dialysis. De novo DA was associated with AKI (univariate odds ratio [OR] 1.91, 95% confidence interval [CI] 1.27–2.86, p =0.002). The association persisted in a multivariate logistic regression model that adjusted for demographics, baseline kidney function, comorbidities, critical illness parameters and exposure to nephrotoxins (adjusted OR 1.87, 95% CI 1.21–2.89, p =0.005). The association between de novo DA and AKI was stronger for severe AKI: Acute Kidney Injury Network (AKIN) stage 3 (adjusted OR 2.99, 95% CI 1.52–5.85, p =0.001) and AKIN stage 2 (adjusted OR 1.79, 95% CI 1.002–3.21, p =0.049) but not for AKIN stage 1 (adjusted OR 1.41, 95% CI 0.87–2.29, p =0.16).

Conclusions

De novo DA within the first 24 h of admission was independently associated with severe AKI in critically ill septic patients. Future studies are required to fully elucidate the utility of DA testing in the early detection and stratification of AKI.

Introduction

Sepsis is one of the most common reasons of intensive care unit (ICU) admissions. It often leads to multiorgan dysfunction and the kidney is one of the organs frequently affected [1, 2]. Acute kidney injury (AKI) occurs in about 25% of patients with severe sepsis and in nearly 50% of those with septic shock [3]. Sepsis is marked by the release of a plethora of pro-inflammatory molecules into the systemic circulation that leads to loss of barrier integrity of endothelial cells and systemic capillary leak [4, 5]. The glomerular manifestation of this enhanced capillary permeability is increased excretion of albumin in the urine [6].

Microalbuminuria occurs in up to 87% of septic patients [7]. Its presence in sepsis has been shown to predict vasopressor requirement, organ failure and ICU survival [8–10]. The renal cortical albumin gene, usually silent under normal conditions, has been found to be upregulated in AKI [11]. Furthermore, in an animal model of septic AKI, lipopolysaccharide ingestion was shown to induce significant ultrastructural alterations in the glomerular endothelium, and albuminuria was detected within the first 24 h [12]. Thus, albuminuria may play a role as a sensitive marker for septic AKI. Microalbuminuria, defined as 30–300 mg/d of albumin excretion in the urine, falls below the threshold detection of conventional urinary dipstick. However, there may be heightened excretion of albumin in septic AKI that may be detected with conventional dipstick. Accordingly, the purpose of this study was to examine the potential association between de novo dipstick albuminuria (DA) within the first 24 h of ICU admission and AKI at 72 h.

Subjects and Methods

Study Design and Participants

We conducted a retrospective, observational cohort study utilizing a population-based, ICU database of septic patients admitted to Henry Ford Hospital, an urban, tertiary care hospital in Detroit, Michigan, from January 2004 through July 2011. The subject search was done based on Angus criteria [1] for severe sepsis or septic shock using the International Classifications of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes [13] for both a bacterial or fungal infection and a diagnosis of acute organ dysfunction excluding gastrointestinal failure. Inclusion criteria comprised adult patients admitted to the ICU with the diagnosis of severe sepsis or septic shock, a documented serum creatinine (SCr) and urinalysis (UA) within 3 months before admission, UA within the first 24 h of admission and at least one value of SCr within the first 72 h of ICU admission. Exclusion criteria consisted of preexisting chronic kidney disease (CKD) (baseline SCr >132.6 µmol/l or >1.5 mg/dl within 3 months before admission), detected albuminuria by dipstick within 3 months before admission, pregnancy and potential causes of false-positive albuminuria on dipstick (erythrocytes >100/hpf in urinary microscopy or bacterial or fungal urinary tract infection ascertained by ICD-9-CM codes). The protocol was approved by the institutional review board.

Study Variables

The most recent SCr within the 3-month period before ICU admission was defined as the baseline SCr. The greatest SCr within 72 h of admission was used to determine the diagnosis of AKI, defined and graded by the Acute Kidney Injury Network (AKIN) criteria [14], which defines AKI by SCr- and urine output-based criteria. In this study, only the SCr criterion was used given the lack of urine output data. When a patient fulfilled criteria for more than one AKIN stage within the first 72 h of ICU admission, the higher stage was considered for the purpose of the analysis. De novo DA was defined as new onset dipstick positive for albuminuria within the first 24 h of presentation with severe sepsis or septic shock in a patient who had a documented absence of DA in the past 3 months. DA was classified as either “negative” or “positive.” A positive DA consisted of a semi-quantitative result from “trace” to “4+ or >300 mg/dl” (AUTION^® Sticks 9EB, Arkray USA, Edina, MN). All subject specific variables were obtained from electronic medical records by data management personnel blinded to the study analysis. These included demographic data (age, gender and race), comorbidity (diabetes, hypertension, heart failure and anemia), baseline SCr, indicators of critical illness (inotrope, vasopressor, diuretic use, dialysis, mechanical ventilation and length of ICU stay) and exposure to nephrotoxins (non-steroidal anti-inflammatory drugs or aminoglycosides).

Study Outcomes

We tested for the presence of an independent association between de novo DA within the first 24 h of ICU admission and AKI at 72 h in this selected sample of ICU patients with severe sepsis or septic shock.

Statistical Analysis

Microsoft Excel 2010 (Microsoft, Redmond, WA) and SAS 9.3 (SAS Institute, Cary, NC) were used in data acquisition and analysis. Categorical data were reported as percentages and continuous data as means ± SD. Between-group comparisons for categorical variables were made using either the Chi-square test or the Fisher exact test when the expected frequencies were <5. For continuous variables, either a two-sided t-test or a Kruskal-Wallis test was conducted when data were not normally distributed. In lieu of non-Gaussian distributions, baseline SCr, baseline estimated glomerular filtration rate (eGFR) and ICU length of stay (days) were natural log-transformed. All of the associations between potential confounders and AKI were tested by univariate logistic regression. A multivariate logistic regression model was constructed for AKI and different stages of AKIN as the dependent variables and de novo DA (dichotomized as “positive” or “negative”) as the main independent variable. This model included all covariates that may potentially be associated with AKI. Finally, a multivariate logistic regression model that adjusts for baseline kidney function was constructed using candidate variables that had a p-value <0.05 in the univariate models. The same model was used to test the association between each of AKIN stages 1–3 and de novo DA. The 95% confidence intervals (CIs) reported for the logistic regression odds ratios (ORs) were based on the Wald estimation. All p-values <0.05 indicate statistical significance.

Results

We identified 2252 adult patients admitted to the ICU with the diagnosis of severe sepsis or septic shock and documented SCr ≤132.6 µmol/l (1.5 mg/dl) within 3 months before indexed admission during the study dates. Of these, 423 patients met all inclusion and exclusion criteria (Figure 1). Baseline characteristics of the study patients, including demographic data, comorbidities, baseline SCr, indicators of critical illness, and exposure to potential nephrotoxins are reported in Table 1. No significant differences were found among patients with positive DA vs negative DA, except for the more frequent use of vasoactive drugs (e.g., vasopressor or inotrope) in the positive DA group. The most common diuretic utilized was furosemide, which was administered approximately 90% of the time when a diuretic was given within the first 72 h of ICU admission.

Figure 1.

Cohort derivation. DA =dipstick albuminuria; ICD-9-CM = International Classifications of Diseases, Ninth Revision, Clinical Modification codes; SCr =serum creatinine; UTI =urinary tract infection.

Table 1.

Patient characteristics by dipstick albuminuria (DA) status

Variable	Negative DA (N =228)	Positive DA (N =195)	Comparison P-valuea
Demographics
Age, years, mean ± SD	60.7 ± 16.8	60.9 ± 18.1	0.88 (T)
Male gender, (%)	115 (50.4 %)	97 (49.7 %)	0.89 (C)
Black, (%)	120 (52.6 %)	121 (62.1 %)	0.15 (C)
Chronic conditions
Baseline SCr, µmol/l, median [IQR]	79.6 [61.9 – 97.2]	79.6 [61.9 – 97.2	0.69 (K-W)
Baseline eGFR, ml/min/1.73 m2, median [IQR]	90.0 [68.6 – 122.0]	88.9 [70.2 – 109.6]	0.84 (K-W)
Diabetes, (%)	56 (24.6%)	56 (28.7%)	0.33 (C)
Hypertension, (%)	102 (44.7%)	80 (41%)	0.44 (C)
Systolic heart failure, (%)	3 (1.3%)	3 (1.5%)	1.00 (F)
Anemia, (%)b	221 (96.9%)	190 (97.4%)	0.76 (C)
Drug exposure
Diuretic, (%)	88 (38.6%)	63 (32.3%)	0.18 (C)
Statin, (%)	52 (22.8%)	34 (17.4%)	0.17 (C)
Iodinated contrast, (%)	2 (0.9%)	1 (0.5%)	1.00 (F)
NSAID, (%)	14 (6.1%)	5 (2.6%)	0.08 (C)
Aminoglycoside, (%)	51 (22.4%)	57 (29.2%)	0.11 (C)
Critical indicators
ICU length of stay, days, median [IQR]	5 [2 – 11.5]	5 [3 – 9]	0.95 (K-W)
Vasopressor or inotrope, (%)	55 (24.1%)	68 (34.9%)	0.02 (C)*
Mechanical ventilation, (%)	107 (46.9%)	92 (47.2%)	0.96 (C)

Abbreviations: eGFR, estimated glomerular filtration rate using the 4-variable Modification of Diet in Renal Disease (MDRD) study equation; ICU, intensive care unit; IQR, interquartile range; NSAID, non-steroidal anti-inflammatory drug; SCr, serum creatinine; SD, standard deviation

^a(T) =Two-sided T-Test; (K-W) =Kruskal-Wallis Test; (C) =Chi-Square Test

^bAnemia =hematocrit <39% for men and <36% for women

^*Statistically significant, P-value <0.05

Of the 423 patients studied, 268 (63%) developed AKI within the first 72 h of ICU admission based on AKIN criteria. Of those who developed AKI, 140 (52%) were at stage 1, 72 (27%) at stage 2 and 56 (21%) at stage 3. Twenty (4.7%) patients required renal replacement therapy (RRT) during the hospital admission. Urine dipstick testing was performed either at the time of ICU admission (in 78% of the patients) or during the course of the first day of ICU admission (in 22% of the patients) (Figure 1). De novo DA within the first 24 h of ICU admission was found in 195 (46%) of the patients. AKI occurred more often in patients with de novo DA (Table 2 and Figure 2A). The semi-quantitative severity categories of DA readings for each AKIN stage of AKI are reported in Figure 2B. A total of 102 patients (24%) died during the hospital admission. The mortality rate when patients developed AKI was 28% and 17% if they did not (p =0.01). Of the 268 patients who developed AKI, 128 (48%) progressed to a higher AKIN stage within the first 72 h of admission. De novo DA was present in 74 (58%) but absent in 54 (42%) of these patients (p =0.06).

Table 2.

Univariate association between de novo dipstick albuminuria (DA) within the first 24 h of intensive care unit (ICU) admission and acute kidney injury (AKI) and adverse in-hospital outcomes

Variable	Negative DA (N =228)	Positive DA (N =195)	Comparison P-valuea
AKI at 72 h of ICU admission
All AKI, (%)	129 (56.6%)	139 (71.3%)	<0.01 (C)*
AKIN 1, (%)	75 (43.1%)	65 (53.7%)	0.07 (C)
AKIN 2, (%)	35 (26.1%)	37 (39.8%)	0.03 (C)*
AKIN 3, (%)	19 (16.1%)	37 (39.8%)	<0.01 (C)*
Adverse in-hospital outcomes
In-hospital mortality, (%)	51 (22.4%)	51 (26.2%)	0.36 (C)
In-hospital dialysis, (%)	13 (5.7%)	7 (3.6%)	0.31 (C)

Abbreviations: AKIN, Acute Kidney Injury Network staging criteria

^a(C) =Chi-Square Test;

^*Statistically significant, P-value <0.05

Figure 2.

A) Univariate association between de novo dipstick albuminuria (DA) within the first 24 h of intensive care unit (ICU) admission and acute kidney injury (AKI) at 72 h; B) Semi-quantitative severity categories of DA readings within the first 24 h of ICU admission for each AKIN stage of AKI at 72 h. AKIN =Acute Kidney Injury Network criteria. *Statistically significant, P-value <0.05

Univariate analysis showed a significant association between de novo DA within the first 24 h of ICU admission and AKI at 72 h (OR 1.91, 95% CI 1.27–2.86, p =0.002) (Table 3). The association persisted in a multivariate analysis that adjusted for age, gender, race, baseline SCr, comorbidities, critical illness parameters and exposure to nephrotoxins (adjusted OR 1.87, 95% CI 1.21–2.89, p =0.005) (Table 3). The association between de novo DA and AKI was stronger for severe AKI: AKIN 3 (adjusted OR 2.99, 95% CI 1.52–5.85, p =0.001) and AKIN 2 (adjusted OR 1.79, 95% CI 1.002–3.21, p =0.049) but not for AKIN 1 (adjusted OR 1.41, 95% CI 0.87– 2.29, p =0.16) (Table 4). Also, the association between de novo DA and in-hospital dialysis was not statistically significant (p =0.44), attributable to the low number of these events (n =20) in the entire cohort.

Table 3.

The association between de novo dipstick albuminuria (DA) within the first 24 h of intensive care unit admission and acute kidney injury (AKI) at 72 h

Variable	Odds ratio Univariate (95% CI)	P-value	Odds ratio Multivariate (95% CI)	P-value	Odds ratio Multivariate (95% CI)	P-value
De novo DA	1.91 1.27–2.86	0.002*	1.87 1.21–2.89	0.005*	1.79 1.18–2.71	0.006*
Age, years	1.00 0.99–1.02	0.571	1.00 0.99–1.01	0.804	__	__
Male gender	1.07 0.72–1.59	0.734	1.18 0.76–1.83	0.464	__	__
Black vs white	0.67 0.32–1.42	0.359	0.60 0.27–1.34	0.213	__	__
White vs other	0.70 0.32–1.52	0.539	0.69 0.30–1.58	0.663	__	__
Baseline SCr, µmol/l	0.81 0.45–1.48	0.499	0.74 0.36–1.51	0.407	0.76 0.41–1.41	0.376
Diabetes	1.95 1.21–3.15	0.006*	2.29 1.35–3.9	0.002*	1.99 1.22–3.24	0.006*
Hypertension	0.99 0.66–1.47	0.950	1.09 0.70–1.71	0.694	__	__
Systolic heart failure	0.28 0.05–1.57	0.149	0.20 0.03–1.23	0.083	__	__
Anemiaa	3.59 1.06–12.10	0.040*	3.76 1.03–13.70	0.045*	__	__
Diuretic	1.33 0.87–2.02	0.183	1.57 0.97–2.54	0.070	__	__
Statin	0.71 0.44–1.16	0.170	0.60 0.35–1.03	0.066	__	__
Iodinated contrast	0.29 0.03–3.19	0.309	0.26 0.02–3.13	0.291	__	__
NSAID	0.50 0.20–1.27	0.146	0.48 0.18–1.29	0.147	__	__
Aminoglycoside	1.09 0.69–1.72	0.716	0.73 0.44–1.22	0.230	__	__
Vasopressor or inotrope	1.87 1.18–2.96	0.008*	1.61 0.97–2.68	0.065	1.80 1.12–2.88	0.015*
Mechanical ventilation	1.33 0.89–1.98	0.162	1.27 0.81–2.01	0.301	__	__

Abbreviations: NSAID, non-steroidal anti-inflammatory drug; SCr, serum creatinine

^aAnemia =hematocrit <39% for men and <36% for women; 95% CI =95% confidence interval

^*statistically significant, P-value <0.05

Data are presented in three models: a univariate model, a multivariate logistic regression model that adjusts for all variables and a final model that adjusts for baseline SCr and for covariates that were retained in backward selection. For all dichotomous categorical covariates the reference is the ‘non- occurrence’ of that covariate.

Table 4.

Multivariate logistic regression analysis adjusted for potential confounders relating de novo dipstick albuminuria (DA) to Acute Kidney Injury Network (AKIN) staging

Variable	Odds ratio Multivariate AKIN 1 (95% CI)	P-value	Odds ratio Multivariate AKIN 2 (95% CI)	P-value	Odds ratio Multivariate AKIN 3 (95% CI)	P-value
De novo DA	1.41 0.87–2.29	0.160	1.79 1.002–3.21	0.049*	2.99 1.52–5.85	0.001*
Diabetes	2.10 1.22–3.63	0.008*	1.78 0.90–3.52	0.096	2.15 1.00–4.64	0.051
Vasopressor or inotrope	1.42 0.82–2.48	0.214	1.95 1.03–3.71	0.041*	2.86 1.44–5.70	0.003*
Baseline SCr, µmol/l	1.51 0.72–3.17	0.275	0.44 0.19–1.02	0.055	0.32 0.12–0.86	0.023*

95% CI =95% confidence interval;

^*statistically significant, P-value <0.05

The analysis always adjusted for baseline serum creatinine (SCr) irrespective of statistical significance. In addition, all AKIN stages were adjusted by diabetes status and vasopressor or inotrope requirement.

Other important predictors of AKI in our regression models were diabetes (adjusted OR 1.99, 95% CI 1.22–3.24, p =0.006) and the use of vasoactive agents, namely vasopressor or inotropic drugs (adjusted OR 1.8, 95% CI 1.12–2.88, p =0.015). We also performed a sensitivity analysis in which “trace” DA was adjudicated as “negative” and not “positive” as previously reported. We found an even stronger association between de novo DA within the first 24 h and AKI at 72 h (OR 2.11, 95% CI 1.29–3.47, p =0.003). In the multivariate model, this association remained significant (adjusted OR 1.89, 95% CI 1.14–3.14, p =0.013).

Discussion

AKI is a serious medical condition associated with high morbidity and mortality [15]. Early detection of AKI may facilitate timely intervention and mitigate kidney damage. Unfortunately, early detection of AKI is difficult and existing biomarkers of early injury have not yet been implemented into routine clinical practice [16]. Furthermore, the concept of subclinical AKI has emerged, that is, tubular damage without functional loss [17], and several initiatives to prevent and treat AKI are underway [18].

The presence of proteinuria, a classical risk marker of kidney disease, is becoming a “red flag” in the assessment of kidney risk profiles. In a population cohort, preexistent, heavy proteinuria (urine dipstick ≥2+) predicted hospital admissions for AKI in patients with preserved baseline kidney function [19]. Likewise, in the Atherosclerosis Risk in Communities population-based cohort, even high-normal urine albumin-to-creatinine ratio (10–29 mg/g) independently increased the risk of incident AKI in a fashion similar to decreased eGFR [20]. Moreover, in a retrospective cohort of 402 trauma patients who received intravenous contrast, the strongest predictor of contrast-induced AKI was proteinuria measured by dipstick [21]. Similarly, positive urine dipstick readings independently predicted development of AKI in a retrospective cohort of 396 patients with severe burns [22]. Recently, Molnar and colleagues [23] demonstrated that early postoperative albuminuria improved the prediction of AKI in a prospective cohort of 1198 patients undergoing cardiac surgery. Dipstick proteinuria (≥100 mg/dl) was associated with greatest risk for AKI.

Proteinuria has also shown utility in critically ill patients. In a small prospective cohort study, increasing microalbuminuria levels over the first 48 h predicted hospital mortality and had a high negative predictive value for the development of AKI and multiple organ failure in the ICU setting [9]. Additionally, microalbuminuria was proposed as a biomarker of systemic capillary permeability in sepsis and a useful predictor of ICU survival in comparison to common acute physiologic scores [7, 10].

Sepsis results from an overproduction of inflammatory mediators as a consequence of the interaction of the human immune system with pathogens and bacterial wall constituents in the body [4]. A very early feature of inflammation is endothelial dysfunction and increased capillary permeability to plasma proteins, which occurs within a few minutes of injury and is amplified by the kidney [24, 25]. The glomerular manifestation of this enhanced capillary permeability is increased excretion of albumin in urine [6].

Recently, animal models of AKI have been used to hypothesize the occurrence of proteinuria based on: 1) glomerular hyperfiltration; 2) glomerular injury and endothelial dysfunction; 3) tubular injury and impaired reabsorption; and 4) renal hepatization or “albumin gene” induction. Ischemic and toxic forms of AKI can alter glomerular structure and function, thereby enhancing the permeability for albumin. In a mouse model of septic AKI, Kato et al. [26] identified decreases in podocin, CD2-associated protein (CD2AP) and tensin 2, all essential molecules for podocyte structure and function. In that study, downregulation of these molecules was associated with foot process effacement and albuminuria after 36 h of injury. Additionally, Schreiber et al. [27] demonstrated that acute endotoxemia and ischemia-reperfusion-mediated AKI in mice induced the downregulation of the multiligand receptors, megalin and cubilin, that reclaim albumin via proximal tubular endocytosis. In 2011, Ware et al. [11] described in mouse models of AKI, including ischemia-reperfusion, renal cortical expression of the normally silent albumin gene that promotes albumin secretion and thus exhibits characteristics of an acute tubular stress reactant, analogous to neutrophil-gelatinase lipocalin (NGAL) or kidney injury molecule-1 (KIM-1). This study also tested the utility of albuminuria as an early predictor of AKI, in comparison to NGAL within the first 24 h of injury, and determined greater specificity in experimental AKI (murine models) and slightly better receiver-operating characteristic (ROC) curve in humans. However, the authors only studied 15 critically ill ICU patients with AKI and 14 acute physiology and chronic health evaluation II (APACHE II)-matched controls.

Our findings highlight the strong association between new onset or de novo DA within the first 24 h of ICU admission and the occurrence of severe AKI at 72 h in patients with severe sepsis or septic shock (e.g., negative predictive value of 92% for AKIN stage 3 and 85% for AKIN stage 2). This association was not significant for AKIN stage 1 likely because of the inability to discriminate between pre-renal azotemia and intrinsic kidney injury at this early stage of AKI. We believe that new onset albuminuria may serve as an inexpensive biomarker in critically ill patients at risk of AKI, although it should be rigorously tested with ROC analysis and performance and reclassification metrics in larger and prospective studies.

The strengths of our study include the utilization of a universally accepted definition of AKI and the use of two different multivariable models to adjust for confounders. Unique to our study is the exclusion of patients with advanced CKD (SCr >132.6 µmol/l or >1.5 mg/dl) and/or prior positive DA, as well as common causes of false-positive DA such as bacterial or fungal urinary tract infection and gross hematuria. The selection of a study sample with negative DA within 3 months prior to admission allowed us to search for the association between truly new onset or de novo DA and AKI. This was not done in prior studies searching for this association. Aside from the retrospective nature of this investigation, two important limitations are: 1) the dichotomized use of DA (“positive” vs “negative”) where positive is both “trace” and “4+ or >300 mg/dl” and 2) the use of a SCr cut-off (>132.6 µmol/l or 1.5 mg/dl) and not eGFR to exclude patients with advanced CKD, although we achieved our goal of excluding patients with CKD stages 4 and 5 (the lowest value of eGFR in our study sample was 35.5 ml/min/1.73 m²). To address the first limitation, we performed a sensitivity analysis in which we analyzed “trace” DA as “negative” and not “positive” and thus confirmed our findings. This sensitivity analysis is important because a “trace” reading on urine dipstick may be influenced by urinary concentration (e.g., falsely “trace” = truly “negative” in a highly concentrated urine) and we did not adjust for urinary specific gravity or oliguria in our multivariate models.

In summary, this study confirms the independent association between de novo DA and severe AKI in critically ill septic patients without advanced CKD. Our study was not designed to evaluate the biomarker candidacy of de novo DA but serves to aid the design of future research in which albuminuria is quantitatively or semi-quantitatively measured and its prognostic value ascertained in the presence or absence of subclinical (preserved kidney function but positive damage biomarkers) and clinically apparent AKI. Key clinical outcomes such as mortality, the need for dialysis, worsening AKIN stage, incident CKD, or progressive CKD post-AKI need to be tested.

In conclusion, de novo DA within the first 24 h of ICU admission was independently associated with severe AKI in critically ill septic patients. Future, prospective studies are required to test the utility of this widely available test for the early detection of AKI and determine its predictive potential.