Association between pediatric Risk, Injury, Failure, Loss and End Stage Renal Disease score and mortality in a pediatric intensive care unit: a retrospective study

Almeida, Jader Pereira; Valente, Ivan Ferraz; Lordelo, Marina da Rocha

doi:10.5935/0103-507X.20180065

ABSTRACT

Objective: To evaluate the association between acute kidney injury through the pediatric Risk, Injury, Failure, Loss and End Stage Renal Disease score and mortality in a pediatric intensive care unit.

Methods: This retrospective cohort study assessed all children admitted to the pediatric intensive care unit of a reference hospital in Brazil from January to December 2016. Patients were screened for the presence of acute kidney injury through the pediatric Risk, Injury, Failure, Loss and End Stage Renal Disease score. Patients were subdivided into the stages of Risk, Injury and Kidney Failure.

Results: The sample comprised 192 children, of whom 45.8% developed acute kidney injury, with 79.5% of the cases identified up to 72 hours after admission. Patients with acute kidney injury showed a 3.74 increase risk of death (p = 0.01) than the control group. Patients with kidney failure had a mortality rate that was 8.56 times greater than that of the remaining sample (p < 0.001). The variables that were associated with the stages of acute kidney injury were nephrotoxic drugs (p = 0.025), renal replacement therapy (p < 0.001), vasoactive drugs (p < 0.001), pediatric risk of mortality 2 score (p = 0.023), fluid overload (p = 0.005), pediatric intensive care unit length of stay (p = 0.001) and death (p < 0.001).

Conclusion: In this study, the pediatric Risk, Injury, Failure, Loss and End Stage Renal Disease score proved to be a useful tool for the early identification of severely ill children with acute kidney injury, showing an association with mortality. We thus suggest its use for pediatric intensive care unit patient admission.

Keywords: Acute kidney injury; Mortality; Intensive care units, pediatric

RESUMO

Objetivo: Avaliar a associação entre a presença de lesão renal aguda, por meio do escore pediatric Risk, Injury, Failure, Loss and End Stage Renal Disease, e mortalidade em unidade de terapia intensiva pediátrica.

Métodos: Estudo de coorte retrospectivo que incluiu todas as crianças internadas em uma unidade de terapia intensiva pediátrica de um hospital de referência no Brasil, entre os meses de janeiro e dezembro de 2016. Os pacientes foram triados quanto à presença de lesão renal aguda por meio do escore pediatric Risk, Injury, Failure, Loss and End Stage Renal Disease. Elas foram subdivididas segundo os estádios risco, lesão e falência renal.

Resultados: A amostra foi composta por 192 crianças, das quais 45,8% desenvolveram lesão renal aguda, tendo a identificação desta lesão ocorrido em até 72 horas após a admissão em 79,5% dos casos. Pacientes com lesão renal aguda apresentaram 3,74 mais chances de morrer (p = 0,01) em comparação às crianças do grupo controle. Pacientes com falência renal apresentaram mortalidade 8,56 vezes maior que a do restante da amostra (p < 0,001). As variáveis que apresentaram associação com os estádios de lesão renal aguda foram: uso de fármacos nefrotóxicos (p = 0,025), terapia de substituição renal (p < 0,001), uso de fármacos vasoativos (p < 0,001), escore Pediatric Risk of Mortality 2 (p = 0,023), sobrecarga de fluidos (p = 0,005), tempo de internação na unidade de terapia intensiva pediátrica (p = 0,001) e morte (p < 0,001).

Conclusão: Neste estudo, o escore pediatric Risk, Injury, Failure, Loss and End Stage Renal Disease mostrou-se ferramenta útil para a identificação precoce de crianças com lesão renal aguda grave, mostrando associação com a mortalidade. Sugerimos seu uso rotineiro na admissão de pacientes à unidade de terapia intensiva pediátrica.

Descritores: Lesão renal aguda; Mortalidade; Unidades de terapia intensiva pediátrica

INTRODUCTION

Acute kidney injury (AKI) is a complication that frequently occurs in pediatric patients in a severe state. It is characterized by an instability of the body homeostasis and, consequently, hemodynamic impairment.⁽¹⁾ Its incidence has been associated with an increased mortality rate, an extended time in pediatric intensive care units (PICU) and increased admission costs.⁽¹^-³⁾

The most common marker used in clinical practice to identify AKI is the serum creatinine level.⁽⁴^,⁵⁾ Despite its widespread dissemination, researchers have indicated that slight elevations of serum creatinine may result in severe outcomes, which suggests it is not efficient as an early marker, but rather a late marker for kidney dysfunction.⁽⁶⁾ The discovery of new markers, such as Neutrophil Gelatinase Associated Lipocalin, Kidney Injury Molecule-1 and Interleukin-18, have broadened the horizons in the identification of AKI in its early stage. However, these exams have not been disseminated in clinical practice due to their low availability and high cost.⁽⁷^-⁹⁾

Given the occurrence of a lack of solid criteria for AKI definition, the Acute Dialysis Quality Initiative group, formed by specialists in nephrology and intensive care, created a score referred to as Risk, Injury, Failure, Loss and End Stage Renal Disease (RIFLE)⁽¹⁰⁾ in 2004. Akcan-Arikan et al. subsequently adapted this model to pediatric patients in 2007. It was named pediatric RIFLE (pRIFLE), which classifies the degree of kidney dysfunction by the patient’s clearance of creatinine (ClCr) and urinary output in relation to their weight.⁽¹¹⁾

Despite the advances on the subject, scientific studies have indicated imparities regarding the prognosis of AKI patients. Akcan-Arikan et al. did not identify a statistically significant result regarding mortality between groups with and without AKI in their prospective study that analyzed 150 severe patients, despite the observation that patients with kidney failure had a mortality rate that was 2.36 times greater than that of the remaining cohort (25.8% versus 10.9%, respectively, p = 0.03).⁽¹¹⁾ However, Cabral et al. not only managed to identify a significant association between AKI and death (p = 0.02) but also a difference in the mortality rate that was 15 times greater in kidney failure patients than in the remaining sample (53.8% versus 3.5%, respectively, p < 0.001).⁽¹²⁾

In this sense, this paper intends to evaluate the association of the pRIFLE score with the mortality of admitted children in the PICU of a reference hospital in Brazil.

METHODS

This paper is a retrospective cohort study performed with all admitted children in the PICU of a referral tertiary pediatric hospital, from January to December of 2016. The institution has a capacity for 10 PICU beds. The data were extracted from the electronic medical records of the unit. The criteria used to include patients in the research were a minimum of a 24 hour stay in the PICU and an age between 28 days and 14 years. The exclusion criteria included patients with chronic nephropathy, defined by a glomerular filtration rate < 35mL/min/1.73m² for more than 4 weeks;⁽¹¹⁾ patients who were postoperative following cardiac surgery; and patients who presented the loss of necessary anthropometric data to calculate the variables of interest. This study was approved by a Research Ethics Committee, respecting Resolution 466/12.

The variables of interest included sex, age, reason for admission, use of vasoactive drugs (VAD), duration of mechanical ventilation (MV), use of nephrotoxic drugs, fluid overload, renal replacement therapy (RRT), PICU length of stay, hospital length of stay and death. Moreover, the gravity scores of the Pediatric Index of Mortality 2 (PIM2) and the Pediatric Risk of Mortality 2 (PRISM2) were evaluated.

All patients were screened and assessed regarding the presence of AKI during their stay in the PICU through the pRIFLE score for a maximum period of 14 days since admission. Children with an estimated CrCL (eCrCl) within 25% of normal were classified as not having AKI; children with an eCrCl decreased by 25 - 50% were classified as pRIFLE Risk; children with an eCrCl decreased by 50 - 75% were classified as pRIFLE Injury; and children with an eCrCl decreased by 75% or more were classified as pRIFLE Failure.⁽¹¹⁾ The calculation of the baseline eCrCl was performed through the creatinine serum level, using enzymatic method, from the last 3 months prior to admission to the PICU through the revised Schwartz formula.⁽¹³⁾ The baseline eCrCl of 100mL/min/1.73m² was used as proposed by Akcan-Arikan et al.,⁽¹¹⁾ when it was not possible to calculate. The calculation of fluid overload was performed as indicated in Goldstein et al.⁽¹⁴⁾

Epi Info^TM Windows software 7.2 version was used to perform the statistical analyses. Calculations of the frequencies and proportions of the qualitative variables were performed. For the quantitative variables, the mean, the standard deviation (SD), the median, and the maximum and minimum variations were calculated. The associations of the variables were determined using Chi-square and Fischer’s Exact tests, as well as logistic regression for odds ratio (OR) calculation and the adjustment of potential confounders, with a 95% confidence interval (95%CI) and significance level of 5%.

RESULTS

Four hundred twelve patients were admitted to the PICU in a period of 12 months. Of these patients, 220 patients were excluded, resulting in 192 patients. Of the excluded patients, 118 patients were postoperative following cardiac surgery; 45 patients had a time of admission shorter than 24 hours; 34 patients lacked the necessary anthropometric data for the calculation of the variables of interest; 12 patients exhibited chronic nephropathy; 9 patients were older than 14 years; and 2 patients were transferred to other health clinics for logistical reasons.

In summary, 60.4% (116) of the patients were male, with a mean age of 4.3 (median: 2 years, SD ± 4.2 years, minimum: 1 month and maximum: 14 years). Mechanic ventilation was used in 39% (75) of the sample, with a mean 5.4 days of use (median: 4 days, standard deviation ± 5, minimum: 0 days and maximum: 20 days), 26% (50) of the sample used VAD, 8.3% (16) of the patients used RRT and 9.9% (19) of the patients died (Table 1).

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Table 1
Clinical-demographic profile of the studied sample

Regarding the gravity scores used in the PICU admission, the PIM2 had a mean death expectancy of 10% (median: 1.7%, SD ± 22.1, varying between 0.8% and 100%), while the PRISM2 had a mean of 3.55% (median: 1.3%, SD ± 7.23, varying between 0% and 64.6%).

In a decreasing order of frequency, 28.6% (55) of the sample was postoperative following pediatric surgery, 24% (46) had respiratory failure, 22.9% (44) were admitted for sepsis/septic shock, 14.1% (27) were postoperative following neurosurgery and 10.4% (20) had other pathologies that included cardiac, neurological, endocrine and hematological diseases.

In relation to the AKI classification through the pRIFLE score, 45.8% (88) of the children developed AKI at some point during the PICU admission wherein the maximum pRIFLE of 79.5% (70) of the sample was identified in the first 72 hours of admission. When subclassified, 46.6% (41/88) had a pRIFLE “risk”; 28.4% (25/88) had pRIFLE “injury”; and 25% (22/88) had pRIFLE “failure”. The pRIFLE was calculated through the eClCr alone in 76% (67) of the patients, only via the urinary output in 9.1% (8) of the patients, and by both methods in 14.9% of the patients.⁽¹³⁾⁾ The baseline eCrCl was identified in 47.9% (92) of the sample and had a mean of 163mL/min/1.73m² (median: 142mL/min/1.73m², SD ± 92.4, varying between 55 and 779mL/min/1.73m²).

Regarding the use of nephrotoxic drugs, 14% (27) of the patients used 2 or more drugs; 25% (48) used 1 drug; and 61% (117) did not use any drugs. Iodinated contrast was the most used nephrotoxic drug and was present in 17.2% of the sample, followed by vancomycin 15.1%; nonsteroidal anti-inflammatory drugs 10.9%; aminoglycosides 10.4%; amphotericin B 8.3%; and chemotherapy for the treatment of neoplasia 6.3%.

Of the patients who died (19), 73.7% (14) had AKI. Of these patients, 7.2% (1) developed a pRIFLE “risk”; 21.4% (3) had pRIFLE “injury”; and 71.4% (10) had pRIFLE “failure”. The patients with AKI had an increased risk of death compared to patients without AKI (OR: 3.74; 95%CI: 1.29 - 10.86). When we evaluated the association between AKI and mortality through multivariate logistic regression adjusted for age, fluid overload and PRISM2, there was a loss of statistical significance (OR: 1.6; 95%CI: 0.43 - 5.91). However, when the same analysis was performed separating the case group in patients with “injury” and “renal failure” and the patients with pRIFLE “risk” were included in the group without AKI, a statistically significant association was identified when adjusted for the same variables (OR: 5.2, 95%CI: 1.42 - 19.01) (Table 2). The patients with Kidney Failure had a mortality rate that was 8.56 times greater than that of the remaining sample (45.4% versus 5.3%, respectively; p < 0,001).

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Table 2
Multivariate logistic regression for the adjustment of potential confounding factors in the association between acute kidney injury and mortality

The mean duration of PICU admission was 7 days (median: 3 days, SD ± 14.9, varying between 1 and 162 days), and the mean duration of hospitalization was 29.4 days (median: 17.5 days, SD: ± 33.6, varying between 2 and 214 days). The patients with AKI had an association with a longer PICU length of stay than the patients without AKI (OR: 2.78; 95%CI: 1.41 - 5.49); however, a significant relationship was not found with a longer hospitalization (OR: 1.73, 95%CI: 0.97 - 3.09).

The variables that were associated with the stages of AKI included the use of nephrotoxic drugs (p = 0.025), RRT (p < 0.001), VAD (p < 0.001), PRISM2 (p = 0.023), fluid overload (p = 0.005), PICU length of stay (p < 0.001) and death (p < 0.001). The variables sex, duration of MV, PIM2 and hospital length of stay did not present a statistically meaningful association (Tables 3 and 4). The age variable also did not present a statistically significant relationship with the AKI stages, although it was observed that infants had an increased risk of AKI [risk + injury + failure versus no-AKI] compared to adolescents (OR: 2.65; 95%CI: 1.12 - 6.25).

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Table 3
Association of clinical-demographic variables with the pediatric Risk, Injury, Failure, Loss and Stage Renal Disease Score stages

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Table 4
Association of the pediatric Risk, Injury, Failure, Loss and Stage Renal Disease Score stages with the clinical outcomes of the studied sample

DISCUSSION

Patients with kidney dysfunction present an impairment of the primordial functions for the proper functioning of the body, such as a hydroelectrolyte imbalance and acid-base disorders, in addition to an accumulation of toxic substances in the body. These impairments may result in an increase in the mortality rate.

In this study, patients who developed AKI, classified by the pRIFLE score, were 3.74 times more likely to die than patients without AKI (p = 0.014). This result is similar to those of Cabral et al.⁽¹²⁾ and Bresolin et al.,⁽¹⁵⁾ who compared the two groups and identified an increase in the mortality rate of 2.53 and 5 times, respectively. Moreover, the progressive increase in the number of deaths increased with more serious AKI stages, particularly the “failure“criteria, as observed in other studies.⁽¹¹^,¹²^,¹⁵^,¹⁶⁾

Furthermore, when groups were redistributed among “injury + failure” and “no-AKI + risk”, there was a statistically significant relationship between AKI and mortality, even when confounding factors, such as age, PRISM2 and fluid overload, were adjusted through multivariate logistic regression, in contrast to other studies.⁽¹^,¹⁶⁾

Several hypotheses may be proposed. First, the different clinical and demographical profiles of the studied populations may influence the final results. Another factor that could justify the divergence of the results is that the majority of the studies did not use a uniform methodology concerning the use of the pRIFLE score. Some studies only used the eClCr as a qualifying criterion and did not employ urinary output as suggested by Akcan-Akiran et al.⁽¹¹^,¹²^,¹⁶^,¹⁷⁾ Moreover, a low availability of basal Creatinine was identified in most studies, which is necessary for the eCrCl calculation. While the original paper⁽¹¹⁾ used the baseline eClCr of 73% of the sample, Hui et al.⁽¹⁸⁾ identified it in 46% of the patients. In this sample, it was possible to observe these data in 47.9% of the children.

These observations are important due to the assumption that the use of the eClCr of 100mL/min/1.73m², as proposed by Akcan-Arikan et al.,⁽¹¹⁾ in the absence of a baseline eClCr, may underestimate the incidence of AKI because the standard baseline eClCr in the studies varies between 100 to 197mL/min/1,73m².⁽¹⁵^,¹⁸^,¹⁹⁾ Moreover, some authors have opted to use the baseline eClCr in 120mL/min/1,73m².⁽¹^,¹²^,¹⁶^,²⁰⁾ These data suggest that the incidence of AKI may be different depending on how the pRIFLE qualifying criteria are employed.

In addition to mortality, other variables also present an association with AKI in different stages. In our research, nephrotoxic drugs, VAD and RRT had greater associations with pRIFLE “injury and failure”. The classification of AKI by the pRIFLE was also related to the fluid overload and PICU length of stay, and these data are similar to those found in the literature.⁽¹^,¹²^,¹⁵^,¹⁹^-²²⁾ However, our study did not identify an association with this score and hospital length of stay (p = 0.319), which is different from the previous studies of Soler et al.,⁽¹⁾ Akcan-Arikan et al.,⁽¹¹⁾ Bresolin et at.,⁽¹⁵⁾ Naik et al.⁽¹⁶⁾ and Palmieri et al.⁽¹⁹⁾ Social and logistical issues may be the reasons for these data, as our study was conducted in a philanthropic institution that treats a low-income population, with social pendencies before their discharge from the hospital.

Comparing the pRIFLE with the mortality scores that are commonly used in PICU patient admission, our results did not show an association between the different stages of AKI and PIM2 (p = 0.073), although an association with PRISM2 (p = 0.023) was identified. Cabral et al.⁽¹²⁾ showed that the PIM2 may underestimate the mortality rate of pediatric patients with severe AKI, probably because its classification does not involve renal function as a prognostic criterion. However, the PRISM2 presents divergent results in the research literature; thus, additional research is necessary to evaluate its association with AKI.⁽¹^,¹⁹⁾

When the pRIFLE is used in PICU patient admission, studies show that AKI occurs early. In the first 24 hours, studies show that it is possible to identify approximately 33 - 81.5% of patients who contracted AKI at some point of the PICU admission.⁽¹¹^,¹⁵^,²⁰^,²¹⁾ During the first 72 hours, this number increases to 50 - 99% of the cases.⁽¹^,¹²^,¹⁶^,²²⁾ These results are similar to our study, which could identify 79.5% of the AKI patients in the same period. Thus, the pRIFLE may be a useful tool for the early identification of severe AKI patients.

Our study presented several limitations. It was determined that 8.25% of the children were excluded due to the loss of anthropometrics. Although the size of the sample is compatible with those of other samples, this issue may influence the results obtained. The data were collected in one unit only, with the intrinsic limitations of a retrospective study. The first author was responsible for the research data collection, which was minimized by the standardization in the completion of a structured questionnaire. In relation to the nephrotoxic drugs, medication groups were used in the form different classes, such as cancer chemotherapeutics, aminoglycosides and non-steroidal anti-inflammatory drugs. Finally, this paper focused only on the maximum pRIFLE and did not detail the AKI evolution during the PICU admission.

CONCLUSION

In this paper, the pediatric Risk, Injury, Failure, Loss and End Stage Renal Disease score proved to be a useful tool for the early identification of severe acute kidney injury children. This score shows an association with mortality, particularly when it meets the pRIFLE injury or failure criteria. Thus, we suggest its use for pediatric intensive care unit patient admission.

Furthermore, it is noted that the way patients are selected in research and how the pediatric Risk, Injury, Failure, Loss and End Stage Renal Disease qualifying criteria are employed may impact the incidence of acute kidney injury. Consequently, it can also impact the incidence of mortality, which indicates a greater standardization is necessary for studies related to this issue.

References

¹ Soler YA, Nieves-Plaza M, Prieto M, García-De Jesús R, Suárez-Rivera M. Pediatric Risk, Injury, Failure, Loss, End-Stage renal disease score identifies acute kidney injury and predicts mortality in critically ill children: a prospective study. Pediatr Crit Care Med. 2013;14(4):e189-95.
² Basu RK, Chawla LS, Wheeler DS, Goldstein SL. Renal angina: an emerging paradigm to identify children at risk for acute kidney injury. Pediatr Nephrol. 2012;27(7):1067-78.
³ Hoste EA, Schurgers M. Epidemiology of acute kidney injury: how big is the problem? Crit Care Med. 2008;36(4 Suppl):S146-51.
⁴ Al-Ismaili Z, Palijan A, Zappitelli M. Biomarkers of acute kidney injury in children: discovery, evaluation and clinical application. Pediatr Nephrol. 2011;26(1):29-40.
⁵ Levi TM, Souza SP, Magalhães JG, Carvalho MS, Cunha AL, Dantas JG, et al. Comparação dos critérios RIFLE, AKIN e KDIGO quanto à capacidade de predição de mortalidade em pacientes graves. Rev Bras Ter Intensiva. 2013;25(4):290-6.
⁶ Chertow GM, Burdick E, Honour M, Bonventre JV, Bates DW. Acute kidney injury, mortality, length of stay, and costs in hospitalized patients. J Am Soc Nephrol. 2005;16(11):3365-70.
⁷ Mishra J, Dent C, Tarabishi R, Mitsnefes MM, Ma Q, Kelly C, et al. Neutrophil gelatinase-associated lipocalin (NGAL) as a biomarker for acute renal injury after cardiac surgery. Lancet. 2005;365(9466):1231-8.
⁸ Han WK, Bailly V, Abichandani R, Thadhani R, Bonventre JV. Kidney Injury Molecule-1 (KIM-1): a novel biomarker for human renal proximal tubule injury. Kidney Int. 2002;62(1):237-44.
⁹ Parikh CR, Jani A, Melnikov VY, Faubel S, Edelstein CL. Urinary interleukin-18 is a marker of human acute tubular necrosis. Am J Kidney Dis. 2004;43(3):405-14.
¹⁰ Bellomo R, Ronco C, Kellum JA, Mehta RL, Palevsky P; Acute Dialysis Quality Initiative workgroup. Acute renal failure - definition, outcome measures, animal models, fluid therapy and information technology needs: the Second International Consensus Conference of the Acute Dialysis Quality Initiative (ADQI) Group. Crit Care. 2004;8(4):R204-12.
¹¹ Akcan-Arikan A, Zappitelli M, Loftis LL, Washburn KK, Jefferson LS, Goldstein SL. Modified RIFLE criteria in critically ill children with acute kidney injury. Kidney Int. 2007;71(10):1028-35.
¹² Cabral FC, Ramos Garcia PC, Mattiello R, Dresser D, Fiori HH, Korb C, et al. Influence of acute kidney injury defined by the Pediatric Risk, Injury, Failure, Loss, End-Stage Renal Disease score on the clinical course of PICU patients. Pediatr Crit Care Med. 2015;16(8):e275-82.
¹³ Schwartz GJ, Muñoz A, Schneider MF, Mak RH, Kaskel F, Warady BA, et al. New equations to estimate GFR in children with CKD. J Am Soc Nephrol. 2009;20(3):629-37.
¹⁴ Goldstein SL, Currier H, Graf Cd, Cosio CC, Brewer ED, Sachdeva R. Outcome in children receiving continuous venovenous hemofiltration. Pediatrics. 2001;107(6):1309-12.
¹⁵ Bresolin N, Bianchini AP, Haas CA. Pediatric acute kidney injury assessed by pRIFLE as a prognostic factor in the intensive care unit. Pediatr Nephrol. 2013;28(3):485-92.
¹⁶ Naik S, Sharma J, Yengkom R, Kalrao V, Mulay A. Acute kidney injury in critically ill children: Risk factors and outcomes. Indian J Crit Care Med. 2014;18(3):129-33.
¹⁷ Kizilbash SJ, Kashtan CE, Chavers BM, Cao Q, Smith AR. Acute kidney injury and the risk of mortality in children undergoing hematopoietic stem cell transplantation. Biol Blood Marrow Transplant. 2016;22(7):1264-70.
¹⁸ Hui WF, Chan WK, Miu TY. Acute kidney injury in the paediatric intensive care unit: identification by modified RIFLE criteria. Hong Kong Med J. 2013;19(1):13-9.
¹⁹ Palmieri T, Lavrentieva A, Greenhalgh D. An assessment of acute kidney injury with modified RIFLE criteria in pediatric patients with severe burns. Intensive Care Med. 2009;35(12):2125-9.
²⁰ Plötz FB, Bouma AB, van Wijk JA, Kneyber MC, Bökenkamp A. Pediatric acute kidney injury in the ICU: an independente evaluation of pRIFLE criteria. Intensive Care Med. 2008;34(9):1713-7.
²¹ Freire KM, Bresolin NL, Farah AC, Carvalho FL, Góes JE. Lesão renal aguda em crianças: incidência e fatores prognóstico em pacientes gravemente enfermos. Rev Bras Ter Intensiva. 2010;22(2):166-74.
²² Grupta S, Sengar GS, Meti PK, Lahoti A, Beniwal M, Kumawat M. Acute kidney injury in Pediatric Intensive Care Unit: Incidence, risck factors, and outcome. Indian J Crit Care Med. 2016;20(9):526-9.

Edited by

Responsible editor: Jefferson Pedro Piva

Publication Dates

Publication in this collection
07 Jan 2019
Date of issue
Oct-Dec 2018

History

Received
30 Mar 2018
Accepted
22 July 2018

Este é um artigo publicado em acesso aberto (Open Access) sob a licença Creative Commons Attribution, que permite uso, distribuição e reprodução em qualquer meio, sem restrições desde que o trabalho original seja corretamente citado.

[1] ¹ Soler YA, Nieves-Plaza M, Prieto M, García-De Jesús R, Suárez-Rivera M. Pediatric Risk, Injury, Failure, Loss, End-Stage renal disease score identifies acute kidney injury and predicts mortality in critically ill children: a prospective study. Pediatr Crit Care Med. 2013;14(4):e189-95.

[2] ² Basu RK, Chawla LS, Wheeler DS, Goldstein SL. Renal angina: an emerging paradigm to identify children at risk for acute kidney injury. Pediatr Nephrol. 2012;27(7):1067-78.

[3] ³ Hoste EA, Schurgers M. Epidemiology of acute kidney injury: how big is the problem? Crit Care Med. 2008;36(4 Suppl):S146-51.

[4] ⁴ Al-Ismaili Z, Palijan A, Zappitelli M. Biomarkers of acute kidney injury in children: discovery, evaluation and clinical application. Pediatr Nephrol. 2011;26(1):29-40.

[5] ⁵ Levi TM, Souza SP, Magalhães JG, Carvalho MS, Cunha AL, Dantas JG, et al. Comparação dos critérios RIFLE, AKIN e KDIGO quanto à capacidade de predição de mortalidade em pacientes graves. Rev Bras Ter Intensiva. 2013;25(4):290-6.

[6] ⁶ Chertow GM, Burdick E, Honour M, Bonventre JV, Bates DW. Acute kidney injury, mortality, length of stay, and costs in hospitalized patients. J Am Soc Nephrol. 2005;16(11):3365-70.

[7] ⁷ Mishra J, Dent C, Tarabishi R, Mitsnefes MM, Ma Q, Kelly C, et al. Neutrophil gelatinase-associated lipocalin (NGAL) as a biomarker for acute renal injury after cardiac surgery. Lancet. 2005;365(9466):1231-8.

[8] ⁸ Han WK, Bailly V, Abichandani R, Thadhani R, Bonventre JV. Kidney Injury Molecule-1 (KIM-1): a novel biomarker for human renal proximal tubule injury. Kidney Int. 2002;62(1):237-44.

[9] ⁹ Parikh CR, Jani A, Melnikov VY, Faubel S, Edelstein CL. Urinary interleukin-18 is a marker of human acute tubular necrosis. Am J Kidney Dis. 2004;43(3):405-14.

[10] ¹⁰ Bellomo R, Ronco C, Kellum JA, Mehta RL, Palevsky P; Acute Dialysis Quality Initiative workgroup. Acute renal failure - definition, outcome measures, animal models, fluid therapy and information technology needs: the Second International Consensus Conference of the Acute Dialysis Quality Initiative (ADQI) Group. Crit Care. 2004;8(4):R204-12.

[11] ¹¹ Akcan-Arikan A, Zappitelli M, Loftis LL, Washburn KK, Jefferson LS, Goldstein SL. Modified RIFLE criteria in critically ill children with acute kidney injury. Kidney Int. 2007;71(10):1028-35.

[12] ¹² Cabral FC, Ramos Garcia PC, Mattiello R, Dresser D, Fiori HH, Korb C, et al. Influence of acute kidney injury defined by the Pediatric Risk, Injury, Failure, Loss, End-Stage Renal Disease score on the clinical course of PICU patients. Pediatr Crit Care Med. 2015;16(8):e275-82.

[13] ¹³ Schwartz GJ, Muñoz A, Schneider MF, Mak RH, Kaskel F, Warady BA, et al. New equations to estimate GFR in children with CKD. J Am Soc Nephrol. 2009;20(3):629-37.

[14] ¹⁴ Goldstein SL, Currier H, Graf Cd, Cosio CC, Brewer ED, Sachdeva R. Outcome in children receiving continuous venovenous hemofiltration. Pediatrics. 2001;107(6):1309-12.

[15] ¹⁵ Bresolin N, Bianchini AP, Haas CA. Pediatric acute kidney injury assessed by pRIFLE as a prognostic factor in the intensive care unit. Pediatr Nephrol. 2013;28(3):485-92.

[16] ¹⁶ Naik S, Sharma J, Yengkom R, Kalrao V, Mulay A. Acute kidney injury in critically ill children: Risk factors and outcomes. Indian J Crit Care Med. 2014;18(3):129-33.

[17] ¹⁷ Kizilbash SJ, Kashtan CE, Chavers BM, Cao Q, Smith AR. Acute kidney injury and the risk of mortality in children undergoing hematopoietic stem cell transplantation. Biol Blood Marrow Transplant. 2016;22(7):1264-70.

[18] ¹⁸ Hui WF, Chan WK, Miu TY. Acute kidney injury in the paediatric intensive care unit: identification by modified RIFLE criteria. Hong Kong Med J. 2013;19(1):13-9.

[19] ¹⁹ Palmieri T, Lavrentieva A, Greenhalgh D. An assessment of acute kidney injury with modified RIFLE criteria in pediatric patients with severe burns. Intensive Care Med. 2009;35(12):2125-9.

[20] ²⁰ Plötz FB, Bouma AB, van Wijk JA, Kneyber MC, Bökenkamp A. Pediatric acute kidney injury in the ICU: an independente evaluation of pRIFLE criteria. Intensive Care Med. 2008;34(9):1713-7.

[21] ²¹ Freire KM, Bresolin NL, Farah AC, Carvalho FL, Góes JE. Lesão renal aguda em crianças: incidência e fatores prognóstico em pacientes gravemente enfermos. Rev Bras Ter Intensiva. 2010;22(2):166-74.

[22] ²² Grupta S, Sengar GS, Meti PK, Lahoti A, Beniwal M, Kumawat M. Acute kidney injury in Pediatric Intensive Care Unit: Incidence, risck factors, and outcome. Indian J Crit Care Med. 2016;20(9):526-9.

Variables	Value
Male sex	60.4
Age (years)	2 ± 4.2
Oncological patients	25
Baseline eClCr (mL/1,73m²/min)	163.7 ± 92.4
Use of VAD	26
MV (days)	5,4 ± 5
When AKI was developed (days)	2 ± 2.3
AKI	45.8
AKI stages
Risk	46.6
Injury	28.4
Failure	25
RRT	8.3
PIM2	10 ± 22.1
PRISM2	3.55 ± 7.23
Hospital LOS	29.4 ± 33.6
PICU LOS	7 ± 14.9
Death	9.9

AKI	Mortality OR (95%CI)
Risk + injury + failure (reference group: without AKI)
Unadjusted	3.74 (1.29 - 10.86)
Adjusted - age	3.66 (1.25 -10.74)
Adjusted - fluid overload^* * Fluid overload ≥ 10%;	2.52 (0.82 - 7.71)
Adjusted - PRISM2^† † PRISM2 ≥ 10%.	1.67 (0.43 - 5.91)
Adjusted - age, fluid overload and PRISM2	1.60 (0.43 - 5.91)
Injury + failure (reference group: risk + without AKI)
Unadjusted	10.63 (3.55 - 31.85)
Adjusted - age	11.36 (3.71 - 34.8)
Adjusted - fluid overload^* * Fluid overload ≥ 10%;	6.93 (2.15 - 22.3)
Adjusted - PRISM2^† † PRISM2 ≥ 10%.	5.79 (1.76 - 19.01)
Adjusted - age, fluid overload and PRISM2	5.2 (1.42 -19.01)

AKI stage	Risk N (%)	Injury N (%)	Failure N (%)	Total	p value
Sex					SI
Male	25 (43.1)	17 (29.3)	16 (27.6)	58
Female	16 (53.3)	8 (26.7)	6 (20)	30
Age					SI
Infant	20 (47.6)	9 (21.4)	13 (31)	42
Preschool	8 (40)	8 40.0)	4 (20)	20
School	7 (43.7)	6 (37.5)	3 (18.8)	16
Teenager	6 (60)	2 (20)	2 (20)	10
Nephrotoxic drugs					0.025
None	23 (53.5)	12 (27.9)	8 (18.6)	43
1	13 (56.5)	7 (30.5)	3 (13)	23
≥ 2	5 (22.7)	6 (27.3)	11 (50)	22
PIM2					SI
< 10	32 (54.2)	16 (27.1)	11 (18.7)	59
≥ 10	9 (31.0)	9 (31)	11 (38)	29
PRISM2					0.023
< 10	40 (50)	23 (28.8)	17 (21.2)	80
≥ 10	1 (12.5)	2 (25)	5 (62.5)	8
Total	41	25	22	88

AKI stage	Risk N (%)	Injury N (%)	Failure N (%)	Total	p value
RRT					< 0.001
Yes	-	4 (16)	12 (54.5)	16
No	41 (100)	21 (84)	10 (45.5)	72
MV (days)					SI
< 7	9 (75)	8 (53.3)	8 (52.4)	25
≥ 7	3 (25)	7 (46.7)	10 (47.6)	20
VAD					< 0.001
Yes	3 (7.3)	12 (48)	22 (100)	37
No	38 (92.7)	13 (52)	-	51
Fluid overload					0.005
< 10	32 (78)	13 (52)	8 (36.4)	53
10 - 20	6 (14.6)	9 (36)	6 (27.2)	21
> 20	3 (7.4)	3 (12)	8 (36.4)	14
Hospital LOS (days)					SI
< 20	23 (56.1)	13 (52)	8 (36.4)	44
≥ 20	18 (43.9)	12 (48)	14 (63.6)	44
PICU LOS (days)					< 0.001
< 7	32 (78.0)	18 (72.0)	7 (31.8)	57
≥ 7	9 (22.0)	7 (28.0)	15 (68.2)	31
Death					< 0.001
Yes	1 (2.4)	3 (12.0)	10 (45.5)	14
No	40 (97.6)	22 (88.0)	12 (54.5)	74