PEDIATRIC CRITICAL CARE | https://doi.org/10.5005/jp-journals-10071-23463 |
Association of Urinary Albumin:Creatinine Ratio with Outcome of Children with Sepsis
1,3Pediatric Emergency, Critical Care and Pulmonology, Department of Pediatrics, Sir Ganga Ram Hospital, New Delhi, India
2Pediatric Emergency and Critical Care, Department of Pediatrics, Sir Ganga Ram Hospital, New Delhi, India
4Department of Research, Sir Ganga Ram Hospital, New Delhi, India
Corresponding Author: Anil Sachdev, Pediatric Emergency, Critical Care and Pulmonology, Department of Pediatrics, Sir Ganga Ram Hospital, New Delhi, India, Phone: +91 9810098360, e-mail: anilcriticare@gmail.com
How to cite this article Sachdev A, Raheja K, Gupta N, Chugh P. Association of Urinary Albumin:Creatinine Ratio with Outcome of Children with Sepsis. Indian J Crit Care Med 2020;24(6):465–472.
Source of support: Nil
Conflict of interest: None
ABSTRACT
Objective: The aim of the study was to investigate the association of urinary albumin:creatinine ratio (ACR) with regard to the outcome of sepsis patients and to study the trends of ACR with severity of disease, organ dysfunction, microcirculation status, the use of inotrope, and mechanical ventilation use, and length of pediatric intensive care unit (PICU) stay.
Materials and methods: In the prospective observational study, the patients with varying categories of sepsis admitted in the PICU with stay >24 hours were enrolled consecutively. Urine samples were collected at the time of admission (ACR1), 12 hours (ACR2), and 24 hours (ACR3).
Results: One hundred and thirty-eight patients including 56 cases of sepsis, 31 of severe sepsis, 22 of septic shock, and 29 of multiorgan dysfunction syndrome (MODS) cases were analyzed. There were 29 (21%) deaths. ACR (median, IQR) was significantly higher in nonsurvivors [ACR1 198.9 (111.2–329.4) vs 124.5 (59.37–294.5), p 0.03], [ACR2 213.8 (112.5–350) vs 117.8 (62.6–211.9) p 0.008], [ACR3 231.8 (99.9–441.2 vs 114.4 (44.1–240.3), p 0.005]. The ACR is increased progressively with the increasing severity of sepsis (p %3C; 0.001). The performance of ACR operative characteristics was compared with that of PRISM and PELOD scores. In deceased, ACR was significantly correlated with blood pH, lactate, and base deficit. A cutoff value of ACR 102.7 mg/g had sensitivity 86.2%, specificity 40.4%, positive predictive value 27.8%, and negative predictive value 91.7%. The use of inotropes, mechanical ventilation (%3E;48 hours), and mortality was significantly higher in patients with ACR >102 mg/g. The probability of death varied from 17.6 to 19% in the first 24 hours of admission. ACR was significantly cheaper as compared to PRISM score and PELOD score estimations.
Conclusion: Urinary ACR, a cost-effective tool, correlates with the severity of sepsis and associated morbidity and mortality in children.
Keywords: Microalbuminuria, Mortality, Multiorgan system failure, Outcome prediction, Pediatric intensive care, Sepsis.
INTRODUCTION
Patients requiring intensive care frequently have some degree of systemic inflammatory response syndrome (SIRS), which, when severe, places them at risk of multiple organ failure.1,2 An early feature of the acute inflammatory process is capillary endothelial cell activation accompanied by a rapid increase in capillary permeability to plasma proteins such as albumin. The transcapillary escape rate of radio-labeled albumin from the circulation increases dramatically within 3 hours of cardiac surgery in patients with infection and malignancies.3,4 Studies in normal subjects and in patients with diabetes mellitus or hypertension have also demonstrated an association between urine albumin and albumin transcapillary escape rate and evidence of systemic endothelial dysfunction.5,6 The presence of microalbuminuria (MAU) has been associated with postoperative pulmonary complications, injury severity, and inflammatory insult following trauma, ischemia reperfusion injury, pancreatitis, meningitis, anaphylactic shock, and inflammatory bowel disease.2,7–17 All these studies are consistent with the concept that MAU is associated with systemic microvascular dysfunction. Significant MAU has been demonstrated in adults and children with sepsis as compared to non-septic patients.17–20 We did not find any study in children and adults where MAU was estimated in the different categories of sepsis, severe sepsis, septic shock, and multiorgan dysfunction syndrome (MODS). It was hypothesized that the higher level of urinary albumin:creatinine ratio (ACR) was corresponded with increasing the severity of disease and organ dysfunction in children suffering with sepsis, severe sepsis, septic shock, and MODS and will also predict mortality and morbidity.
The primary objective of study was to investigate the predictive value of ACR with regard to the outcome of the patients with sepsis. The secondary objectives were to study the trends of urinary ACR with the severity of disease, organ dysfunction, microcirculation status, use of inotrope, mechanical ventilation, and the length of PICU stay in the patients suffering with varying severity of sepsis and MODS.
MATERIALS AND METHODS
Consecutive patients with suspected sepsis admitted to 12-bed pediatric intensive care unit (PICU) in a tertiary care teaching hospital were enrolled over 14 months from August 2017 to October 2018. The institutional research and the ethics committee approved the study protocol. A written consent was obtained from the parents after explaining the purpose of sending urine samples for urinary ACR. All the pediatric patients with sepsis and with a stay in PICU for more than 24 hours were included. It was determined a priori that patients would be excluded if they had confounding factors such as anuria, macroscopic hematuria, diabetes mellitus, preexisting chronic kidney disease, urinary tract infection (UTI), proteinuria, hypertension, pigmented urine, and inability to collect urine. There was no additional financial burden on the parents for ACR estimation.
Patient Demography
At the time of admission, the following data were collected for each patient: age, gender, date and time of admission, patient’s clinical classification (medical or surgical), provisional diagnosis, comorbid conditions such as diabetes mellitus, hypertension, and chronic kidney disease. Clinical and relevant laboratory data were also collected. The patients were divided into different categories—sepsis, severe sepsis, septic shock, and MODS.21 For disease severity scoring, PRISM scores at 12 and 24 hours were calculated, and for organ dysfunction, PELOD scores were calculated at the time of admission, 12 hours, and 24 hours of admission.22,23 Each patient was followed up through their PICU stay for a maximum of 28 days.
Sample Collection and Laboratory Measurement
Spot urine samples were collected by the PICU nurses at the time of admission, 12 hours and 24 hours for quantification of ACR, which were referred to as ACR1, ACR2, and ACR3, respectively. The urine samples were delivered to biochemistry laboratory and stored at −20°C till analysis. The urinary microalbumin level was measured using the immune-turbidimetric method (Dimension RxL Max, Dade Behring Inc., USA). Urine creatinine was measured using a modified kinetic Jaffe reaction (Dimension RxL Max, Dade Behring Inc., USA). The methods covered an analytical range of 1.3 to 100 mg/L for microalbumin. The results obtained beyond the analytical range were diluted appropriately and were rerun. The MAU, expressed as ACR in mg/g of creatinine, is defined as ACR of %3C;300 mg/g. The ratio has a conventional cutoff value of 30 mg/g in the healthy reference population. The reference range for mortality prediction in critically ill children is yet to be determined.24 The vasopressor-inotrope score was calculated with the formula used previously by Gaies et al.25
STATISTICAL ANALYSIS
The statistical analysis was performed by the SPSS program for Windows, version 17.0 (SPSS, Chicago, Illinois). The data were checked for normality before the statistical analysis. The descriptive statistics were used to describe the data. The ACR measured at different time points was correlated with various parameters and scores using Spearman’s correlation coefficient. The receiver operating characteristic (ROC) curves and area under the curve (AUC) were determined and their operative characteristics were calculated. The univariate analysis, multivariate analysis, and log transformation were used to identify the potential risk factors associated with the outcome. For all the statistical tests, p value less than 0.05 was considered significant.
RESULTS
Two hundred and eighty-five patients with suspected sepsis were admitted at the PICU during the study period. All the 138 patients fulfilling the inclusion criteria were enrolled (Flowchart 1). The median age and weight of study cohort were 14.5 (IQR 4–50.5) months and 8.2 (IQR 4.8–18) kg, respectively. There were 66 (47.8%) cases ≤12 months of age. The median values of PRISM score at 12 and 24 hours were 7 (IQR 3–10) and 6 (IQR 1–8) and PELOD score at the time of admission, 12 hours, and 24 hours of admission were 12 (IQR 2–24), 12 (IQR 1–22) and 12 (IQR 1–21), respectively. One hundred and five (76.6%) patients required invasive mechanical ventilation at the time of admission and 93 patients were ventilated for more than 48 hours. The median length of stay in PICU was 6 (IQR 3.7–12) days. The respiratory system was the commonest primary organ involved in 50 (36.8%) cases. Primary sepsis was present in 24 (17.4%) while gastrointestinal and liver infections were present in 18 (13%) cases. Tropical diseases with sepsis were diagnosed in 19 cases. Rest of the cases had primary neurological infections in 11 children, and skin, soft tissue, and musculoskeletal infections in 10 cases. There were only six cases with myocarditis admitted in the PICU since there is a separate pediatric cardiac ICU in the hospital. Forty seven (34%) children had blood culture positive at the time of admission. There were 29 (21%) deaths in the study cohort (Table 1).
Albumin:Creatinine Ratio and Disease Severity and Organ Dysfunction
Twenty-nine urine samples revealed normal range of albumin excretion. Twenty-three samples belonged to sepsis category, four were of severe sepsis and one each belonged to septic shock and MODS patients. The age and gender distribution were not significantly different among different categories of sepsis. There were significantly higher ACR1, ACR2 and ACR3 levels in the patients with severe sepsis, septic shock, and in patients with MODS as compared to sepsis cases (Table 2). The AUCs of ROC curves of PRISM 12, PRISM 24, and PELOD scores at the time of admission, 12 hours, and at 24 hours of admission to predict mortality were comparable with those of ACR1, ACR2, and ACR3 (Table 3). The ACR at three time points was correlated significantly with respective PELOD score at the time of admission, 12 hours, and 24 hours of admission in alive and expired patients, whereas ACR2 was correlated with PRISM 12 in both survivors and expired while ACR3 was correlated with PRISM 24 only in survivors and not in deceased (Table 4).
Flowchart 1: Study flowchart. UTI, urinary tract infection; PICU, pediatric intensive care unit
| Parameter | Survivors (n = 29) | Nonsurvivors (n = 109) | p value |
|---|---|---|---|
| Age (month)* | 16 (3.5–60)* | 11 (4.5–28) | 0.5 |
| Male** | 85 (78)** | 25 (86) | 0.4 |
| Weight (kg) | 10 (4.6–18) | 7 (5–12) | 0.4 |
| PRISM 12 | 6.5 (2–9) | 9 (4–13.5) | 0.02 |
| PRISM 24 | 4 (0.5–8) | 8 (5.5–14) | <0.01 |
| PELODS 0 | 12 (10–22) | 22 (12–31) | 0.01 |
| PELODS 12 | 12 (2–21) | 21 (10.5–27) | 0.007 |
| PELODS 24 | 11 (0–21) | 21 (12–28) | <0.01 |
| Arterial pH 0*** | 7.30 ± 0.1 | 7.23 ± 0.13 | 0.005 |
| Blood lactate 0 | 1.95 ± 1.11 | 2.55 ± 1.04 | 0.02 |
| Blood glucose 0 | 112.5 ± 36.4 | 134.2 ± 70.2 | 0.2 |
| ACR1 | 124.5 (59.37–294.5) | 198.9 (111.2–329.4) | 0.031 |
| ACR2 | 117.8 (62.6–211.9) | 213.8 (112.5–350) | 0.008 |
| ACR3 | 114.4 (44.1–240.3) | 231.8 (99.9–441.2) | 0.005 |
| MV | 76 (69.7) | 29 (100) | <0.01 |
| VIS | 0 (0–10) | 76 (5–89.5) | <0.01 |
| LOS PICU (d) | 6 (3–12) | 6 (4–12.5) | 0.5 |
| Sepsis | 54 (49.5) | 2 (6.8) | 0.0001 |
| Severe sepsis | 27 (24.7) | 4 (13.7) | 0.20 |
| Septic shock | 17 (15.5) | 5 (17.2) | 0.82 |
| MODS | 11 (10) | 18 (62) | <0.001 |
*Median with interquartile range, **Frequency with percentage, ***Mean ± SD
PRISM, pediatric risk of mortality; PELODS, pediatric logistic organ dysfunction score; arterial blood pH, and lactate level in mmol/L at the time of admission, blood glucose at the time of admission in mg/dL, ACR1, ACR2, ACR3 albumin:creatinine ratio (mg/g of creatinine) at the time of admission, 12 hours and 24 hours, respectively; MV, mechanical ventilation; VIS, vasopressor-inotrope score; LOS, length of stay in days; PICU, pediatric intensive care unit; MODS, multiorgan dysfunction syndrome
Microalbuminuria and Microcirculation
Arterial blood pH, base deficit, and lactate levels are the indicators of tissue microcirculation. ACR1, ACR2, and ACR3 had consistent and strong correlation with arterial blood pH, base deficit, and lactate levels obtained at the time of admission, 12 hours, and 24 hours of admission, respectively, in nonsurvivors (Table 4), while in survivors, these correlations were inconsistent and insignificant.
Morbidity and Mortality Analysis
Fifty cases had worsening trends of ACR levels over 24 hours and 18 (36%) cases died, whereas there were only 12 (13.6%) deaths in 88 cases with improving the trends of ACR (p value 0.002). ACR1, ACR2, and ACR3 were consistently higher in nonsurvivors as compared to survivors (Table 1). There was a significant fall in ACR1 and ACR2 (p value 0.008) and ACR1 and ACR3 (p value 0.016) in survivors, while there were consistently increasing trends of ACR values in nonsurvivors without statistical significance (Fig. 1). The operative characteristic analysis of ACR1 values revealed the level of 102.7 mg/m with sensitivity 86.2%, specificity 40.4%, positive predictive value 27.8%, and negative predictive value 91.7%. Further analysis of urinary ACR values (ACR1, ACR2, ACR3) with cutoff value of 102 mg/g was done (Table 5). The use of inotropes and mechanical ventilation at the time of admission, number of inotropes, duration of the ventilation for ≥48 hours, and mortality were significantly higher in the patients with ACR %3E;102 mg/g.
Figure 2 depicts the predicted probability of death with increasing levels of ACR after the admission in PICU. The probability of death varied from 17.6 to 19% with ACR level of 102 mg/g in the first 24 hours of admission.
Cost Analysis
There is a need of six laboratory parameters to calculate PRISM score and five variables are required to calculate PELOD score. The costs of estimating PRISM score, PELOD score, and ACR in our hospital were Rs 2545 (US$ 37.5), 2620 (US $ 38.5), and 375 (US $ 5.5), respectively.
DISCUSSION
The present study was done on consecutive children admitted to the PICU with varying severity of sepsis including sepsis, severe sepsis, septic shock, and multiorgan dysfunction. The urinary ACR was estimated at three time points—at the time of admission, 12 hours, and 24 hours of admission. The ACR showed rising trends with increasing severity of sepsis. Serial levels of ACR were consistently higher in nonsurvivors and there was a significant drop in ACR in survivors in the first 24 hours of admission. The ACR levels were correlated with PRISM 12 and 24 score and PELOD score. This was the first study to demonstrate significant correlation between serial levels of ACR and arterial blood pH, serum lactate, and base deficit particularly in nonsurvivors. We also found a threshold level of ACR >102 mg/g to correlate with the prolonged duration of the mechanical ventilation and need for more number of inotropes and higher mortality.
A very early feature of inflammation is rapid increase in capillary permeability to plasma protein (within a few minutes) following injury, and it usually returns to normal within 48 hours unless complications occur.3 Since renal tubules for albumin absorption are near saturation, 1% increase in vascular permeability is amplified by kidney and converted into doubling the urinary albumin excretion.26 It has been suggested that the timing of evaluation is an important determinant of predictive value of MAU in critically ill patients.27,28 In the present study, the first urine sample for evaluation was collected at the time of admission in the PICU either directly or after catheterization within mean time of 55 minutes (±26 minute).
The MAU can be assessed by calculating ACR in a spot urine sample as done in the present study. This ratio takes into account the differences in urine volume and most closely approximate with gold standard, 24-hour urine albumin excretion.29 In large population-based studies, MAU in children and adolescents is defined as an urinary albumin excretion rate of 30–300 mg/24 hours in a 24-hours urine collection.30 However, it is not possible to assess urinary albumin excretion in 24 hour sample and particularly in the morning urine sample in critically ill children.
| Variable | Sepsis (n = 56) | Severe sepsis (n = 31) | Septic shock (n = 22) | MODS (n = 29) | p value |
|---|---|---|---|---|---|
| PRISM 12a | 4 (1.2–7.7) | 8 (6–11.2) | 9.5 (7–13.2) | 8 (5–13.5) | %3C;0.001 |
| PRISM 24 | 2 (0–5.5) | 6 (5–10) | 6.5 (1.5–9.2) | 8 (5.5–12) | <0.001 |
| PELODS 0 | 10 (1–12) | 21 (12–31) | 21.5 (12–31) | 22 (12–32) | <0.01 |
| PELODS 12 | 2 (1–12.7) | 21 (12–24) | 13 (9.2–22 | 21 (10–27) | <0.01 |
| PELODS 24 | 1 (0–11.7) | 21 (11–22) | 12.5 (9.2–22.2) | 21 (11.5–22.5) | <0.001 |
| Blood pH 0*b | 7.34 ± 0.78 | 7.24 ± 0.12 | 7.27 ± 0.13 | 7.23 ± 0.11 | <0.001 |
| pH 12 | 7.35 ± 0.84 | 7.30 ± 0.11 | 7.30 ± 0.08 | 7.24 ± 0.11 | <0.001 |
| pH 24 | 7.37 ± 0.63 | 7.33 ± 0.08 | 7.35 ± 0.1 | 7.29 ± 0.1 | 0.001 |
| Lactate 0* | 1.78 ± 0.71 | 2.0 ± 0.91 | 2.4 ± 1.74 | 2.5 ± 1.26 | 0.015 |
| Lactate 12 | 1.57 ± 0.67 | 1.95 ± 1.27 | 2.03 ± 0.79 | 2.39 ± 0.84 | 0.001 |
| Lactate 24 | 1.52 ± 0.58 | 1.59 ± 0.71 | 1.90 ± 0.73 | 1.96 ± 0.84 | 0.019 |
| VIS | 0 (0–0) | 0 (0–0) | 25 (10–30 | 70 (50–89.5) | <0.001 |
| MV usec | 28 (50) | 28 (90.3) | 21 (95.50) | 28 (96.6) | <0.001 |
| ACR1 | 79.5 (33.7–127.4) | 269.8 (139.2–528.5) | 154.5 (103.8–333.5) | 161 (116–329.4) | <0.001 |
| ACR2 | 73.2 (30.1–130.8) | 187.9 (123.8–344.2) | 119.4 (94.4–352.6) | 196.3 (112.7–338.2) | <0.001 |
| ACR3 | 60.4 (22.9–1118.2) | 198.7 (119.8–321.8) | 119.4 (83.7–321.6) | 196.3 (118.5–400.8) | <0.001 |
| PICU** | 6 (3–12) | 6 (4–10) | 6.5 (4.7–12.2) | 8 (4–16) | 0.18 |
| Mortality | 2 (3.5) | 4 (12.9) | 5 (22.7) | 18 (62) | <0.001 |
*Arterial blood sample at the time of admission, 12 and 24 hours in mmol/L; PICU, pediatric intensive care unit; **Duration of stay in PICU is in days. PRISM, pediatric risk of mortality score; PELOD, pediatric logistic organ dysfunction score; ACR1, ACR2, ACR3 albumin:creatinine ratio (mg/g of creatinine) at the time of admission, 12 and 24 hours, respectively; VIS, vasopressor-inotrope score; MV, mechanical ventilation; MODS, multiorgan dysfunction syndrome; LOS, length of stay in days; PICU, pediatric intensive care unit. The difference of ACR values between severe sepsis and septic shock was not statistically significant
a Median with interquartile range
b Mean ± SD
c Frequency with percentage
| ACR | Area under the curve | p value | 95% confidence interval |
|---|---|---|---|
| ACR1 | 0.612 | 0.03 | 0.494–0.709 |
| ACR2 | 0.661 | 0.008 | 0.554–0.767 |
| ACR3 | 0.669 | 0.005 | 0.560–0.778 |
| PRISM score 12 | 0.639 | 0.021 | 0.522–0.757 |
| PRISM score 24 | 0.737 | <0.001 | 0.633–0.843 |
| PELOD score 0 | 0.665 | 0.007 | 0.552–0.778 |
| PELOD score 12 | 0.663 | 0.007 | 0.545–0.781 |
| PELOD score 24 | 0.709 | 0.001 | 0.599–0.820 |
ACR1, ACR2, ACR3 albumin:creatinine ratio (mg/g of creatinine) at the time of admission, 12 hours, and 24 hours of admission, respectively; PRISM, pediatric risk of mortality at 12 hours and 24 hours of admission; PELODS, pediatric logistic organ dysfunction score at the time of admission, 12 hours, and 24 hours of admission
A series of pathogenetic events are responsible for transition from sepsis to severe sepsis, septic shock, and organ dysfunction. The infection-induced cellular activation interacts with vascular endothelium leading to release of various cytokines. This results in microvascular injury, thrombosis, and capillary leak, resulting in hypoxic-ischemia injury leading to MODS.31,32 Our study demonstrated statistically significant rise of ACR with the increase in the severity of sepsis. This finding is supported by the pathogenetic events of progressive microcirculatory damage with increasing severity of sepsis. Higher levels of ACR were reported in children with sepsis as compared to the patients with noninfectious illnesses.18 ACR levels were found be significantly high in children with bacterial meningitis and associated complications.14 In a pilot study on adult patients in emergency department with primarily sepsis or severe sepsis, increasing ACR was associated with disposition to higher levels of care.33
The MAU has been correlated with disease severity and organ dysfunction scores in adults and children.18,19,34–36 In the trauma patients, ACR has been correlated with trauma-related scores.9,10,37 ACR was predicted onset of postoperative sepsis and was correlated significantly with sequential organ failure assessment (SOFA) score.38 Patients suffering from medical illnesses with increasing ACR had a significantly higher mortality rate and correspondingly higher APACHE II and SOFA scores than those patients with a decreasing ratio.19,34
There are very few pediatric studies on the outcome prediction values of ACR. The presence of urinary albumin excretion value ≥15 μg/minute at 25 to 48 hours had 42% sensitivity, 85% specificity, 79% PPV, and 53% NPV to indicate a more severe course of bacterial meningitis.14 In a study of 41 children, ACR significantly was correlated with PELOD score on day 1 (r-0.85; p < 0.0001) and children with MODS had significantly higher ACR (p < 0.0001). An increasing ACR during the first 24 hours of admission had PPV 75% and NPV 100% for a higher PELOD score on days 2 or 3.39 In a retrospective study of 63 burn ICU pediatric patients, mean ACR value was correlated with length of ICU stay and peak ACR value was also correlated with length of PICU, and hospital stay, severity of burns injury, and organ dysfunction.40 ACR showed a progressive increase during surgery and a decrease afterward, reaching preoperative values within 24 hours after the end of surgery and was also significantly correlated with severity of surgical trauma.41 In a study on children with admission diagnoses of sepsis, noninfectious SIRS and diseases without SIRS reported the predictive value of ACR obtained at the time of admission and at 24 hours similar to that of Pediatric Index of Mortality II, PRISM score, PELOD score, and inotrope scores.18
| Parameter | Survivor | Nonsurvivor | ||
|---|---|---|---|---|
| rs | p value | rs | p value | |
| PRISM 12–ACR2 | 0.52 | <0.001 | 0.68 | <0.001 |
| PRISM 24–ACR | 3 0.57 | <0.001 | 0.26 | 0.16 |
| PELOD 0–ACR | 1 0.38 | <0.001 | 0.44 | 0.01 |
| PELOD 12–ACR | 2 0.48 | <0.001 | 0.73 | 0.001 |
| PELOD 24–ACR | 3 0.58 | <0.01 | 0.62 | <0.001 |
| pH 0–ACR1* | −0.31 | 0.001 | −0.38 | 0.04 |
| pH 12–ACR2 | −0.14 | 0.14 | −0.47 | 0.012 |
| pH 24–ACR3 | −0.02 | 0.82 | −0.56 | 0.002 |
| Lactate 0–ACR1* | 0.04 | 0.65 | 0.33 | 0.07 |
| Lactate 12–ACR2 | 0.20 | 0.06 | 0.56 | 0.003 |
| Lactate 24–ACR3 | 0.06 | 0.51 | 0.41 | 0.03 |
| BD 0–ACR1* | −0.06 | 0.5 | −0.36 | 0.05 |
| BD 12–ACR2 | 0.04 | 0.65 | −0.43 | 0.02 |
| BD 24–ACR3 | −0.08 | 0.42 | −0.20 | 0.29 |
* Arterial blood sample; PRISM, pediatric risk of mortality score at 12 and 24 hours; PELOD, pediatric logistic organ dysfunction score at the time of admission, 12 hours, and 24 hours of admission; ACR1, ACR2, ACR3 albumin:creatinine ratio (mg/g of creatinine) at the time of admission, 12 hours, and 24 hours of admission, respectively; BD, base deficit
We also constructed predicted probability of mortality curves of ACR at the time of admission, 12 hours, and 24 hours of admission to clearly show the increasing mortality with the rising levels of ACR. MacKinnon et al. presented similar curves using multiple regression model and observed significance of urine ACR measured at 6 hours after the admission in adults.36 We also identified the level of ACR %3E;102 mg/g at the time of admission, 12 hours, and 24 hours of admission significantly associated with morbidity and mortality. At a cutoff value of 101 mg/g, the MAU measured at 24 hours of admission had a sensitivity of 69%, specificity 67%, PPV 31%, and NPV 91% for predicting mortality in the critically ill adult patients.17 These operative characteristics are similar to our results. In another study, among survivors, the patients with ACR >100 mg/g stayed approximately 5 days longer in the hospital and risk of death was 2.7 times as compared with those with ACR <100 mg/g.35 In a pediatric study, an ACR cutoff level of 34.2 mg/g at the time of admission and 31.6 mg/g at 24 hours differentiated survivors and nonsurvivors.18 These results were not in agreement with the present and previously mentioned adult studies. The probable reason for such low cutoff levels is that 38 (37.2%) children were without SIRS. The reported median values of ACR at the time of admission and at 24 hours in this particular subset of cases were 6.3 (IQR 3.1–22) mg/g and 4.9 (IQR 2.6–18.7) mg/g, respectively. It is obvious that in the absence of SIRS the endothelial disruption and increased capillary permeability leading to albumin leak are not expected to occur. Authors did not analyze the subgroups of patients with sepsis and with noninfectious SIRS. Other important reasons for variable cutoff level of threshold values include the differences in the discriminative values of the index test, timing of sampling, and means of quantifying the index test.20
Fig. 1: Comparison of median (IQR) values of albumin:creatinine ratio at the time of admission (ACR1), 12 hours (ACR2), and 24 hours (ACR3) of admission in survivors and nonsurvivors. In survivors, ACR1 124.5(59.4–294.5) vs ACR2 117.8(62.6–211.9), p value 0.008; ACR1 vs ACR3 114.4(44.1–240.3) p value 0.016; ACR2 vs ACR3 p value 0.19. In nonsurvivors, ACR1 198.99(111.22–329.41) vs ACR2 198.99 (111.22–329.41), p value 0.19; ACR1 vs ACR3 198.99 (111.22–329.41), p value 0.23; ACR2 vs ACR3 p value 0.85
The present study is the first to investigate the association of ACR and markers of microcirculation like arterial blood pH, serum lactate, and base deficit. The pathobiology of sepsis discussed previously supports a significant relationship between MAU and these parameters. One may extrapolate that serial estimation of ACR in children with sepsis points towards about the microcirculation status.
The cost analysis and comparison presented in our study clearly indicate the economic advantages. The ACR estimation is 7 times cheaper than one-time estimation of PRISM and PELOD scores. The total expenses will escalate according to the number of times these scores are calculated. The ACR estimation can be done at level I and II critical care units in smaller hospitals as a screening tool at the time of admission and after 24 hours. If the ACR levels were rising along with worsening clinical condition of the patient, it might be used for triage and also for effective and prioritized resource utilization and early transportation to referral hospital.
The strengths of our study are as follows: (a) first study on association between ACR and mortality and morbidity in children admitted in PICU with different severities of sepsis; (b) serial estimation of ACR was performed in all the enrolled patients at a predefined time interval. This provided trends of ACR in survivors and expired patients; and (c) Our study clearly demonstrated a significant relationship between ACR and microcirculation parameters. There are limitations on our study. We did not study the effect of muscle mass, cardiac dysfunction, and drugs particularly steroids on ACR.42–44 The results of our study may not be applicable to the patients admitted with clinical conditions without SIRS.
| Parameter | ACR1 | p value | ACR2 | p value | ACR3 | p value | |||
|---|---|---|---|---|---|---|---|---|---|
| ≤102 | >102 | ≤102 | >102 | ≤102 | >102 | ||||
| (n = 48) | (n = 90) | (n = 50) | (n = 88) | (n = 56) | (n = 82) | ||||
| Inotrope usea (n = 54) | 9 | 45 | %3C;0.001 | 12 | 42 | 0.006 | 15 | 37 | 0.01 |
| No. of inotropes | |||||||||
| ≤2 | 7 | 17 | 9 | 15 | 10 | 14 | |||
| %3E;2 | 2 | 28 | 0.016 | 3 | 27 | 0.015 | 5 | 23 | 0.007 |
| MV Adm (n = 105) | 26 | 79 | <0.001 | 32 | 73 | 0.01 | 37 | 68 | 0.02 |
| MV ≥ 48 hb (n = 93) | 20 | 73 | <0.0001 | 27 | 66 | 0.01 | 28 | 63 | 0.0002 |
| PICU daysc | 5 (3–11.7) | 6 (4–13.2) | 0.09 | 6 (3–10.2) | 6.5 (4–14) | 0.1 | 5 (3–7) | 17 (4–15) | 0.001 |
| Mortality | 4 | 25 | 0.008 | 5 | 24 | 0.01 | 9 | 20 | 0.2 |
a Two patients were off inotropes after 24 hours of admission so the number of patients analyzed were 52
b Two patients were off mechanical ventilation within 48 hours in ACR3 group
c Median with interquartile range, ACR1, ACR2, CR3 albumin:creatinine ratio at the time of admission, 12 hours, and 24 hours of admission; MV, mechanical ventilation; Adm, admission; PICU, pediatric intensive care unit
Fig. 2: Predicted probability of death obtained from albumin:creatinine ratio at the time of admission (ACR1), 12 hours (ACR2), and 24 hours (ACR3) of admission using logistic regression
In conclusion, elevated urinary ACR is associated with the severity of sepsis, morbidity, and mortality. The urinary ACR estimation is an easy, cheap, and noninvasive tool and may be used to identify high-risk sepsis cases in resource-settings. Further multicenter studies in a different set of population are required to validate our results.
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