Acute kidney injury (AKI) is a frequent complication found in children with oncological disease, being associated with chronic kidney disease and increase of death risk.
Park et al. (2019)
Despite the importance of the theme in the context of the pediatric patient with oncologic disease, there are few studies in the medical literature evaluating the interaction of AKI with multiple organ dysfunction syndrome. Besides that, few authors used standardized criteria of AKI, such as the Kidney Disease Improving Global Outcomes (KDIGO) classification system.
It is a retrospective cohort study involving children with cancer in a pediatric intensive care unit in a quaternary hospital that is a referral in pediatrics, with the capacity of 22 general beds between November of 2016 and January of 2019. The data were extracted from the electronic medical records and the study was approved by the Research Ethics Committee in the institution.
The inclusion criteria were being a carrier of oncologic disease, which were either solid or hematologic, length of stay in the ICU ≥ 24 hours and being between 1 month and 18 years old. The exclusion criteria were chronic nephropathy with estimated creatinine clearance <15ml/min/1,73m3, history of nephrectomy or urogenital disease.
All the patients of the sample were scanned as to the presence of AKI during the admittance in the ICU for a maximum period of 15 days. They were classified by the presence or absence of acute kidney injury. The main outcome was death in the ICU. Other analyzed variables were age, gender, pediatric risk of mortality 2 (PRISM) score, reason for admittance, kind of oncologic disease, history of autologous or allogeneic bone marrow transplant (BMT), use of recent chemotherapy, period between cancer diagnosis and admittance, multiple organ dysfunction syndrome, basal creatinine, stages of AKI, nephrotoxic drug (NTD), use of loop diuretics, volume overload, renal replacement therapy, and length of stay in the ICU.
Acute kidney injury: classification of the Kidney Disease Improving Global Outcomes (KDIGO) initiative.
Nephrotoxic drugs: medication prescribed by the pediatric intensivist that presents a potential to cause AKI as an adverse event.
Volume overload: body fluid accumulation peak higher than 10% in any moment during ICU admittance, being calculated by the formule “[(administered fluids in liters - eliminated fluids in liters)/ weight at the ICU admission in kilograms] x 100”.
Multiple organ dysfunction syndrome (MODS): condition characterized by the failure of 2 or more organs or systems, including respiratory, cardiovascular, renal, hepatic, neurologic, and hematological dysfunctions.
Liver dysfunction was characterized by alanine aminotransferase higher than twice the abnormality rate or direct serum bilirubin ≥2mg/dL. Kidney dysfunction was defined as the presence of stage 2 or 3 AKI by the KDIGO classification. Hematologic dysfunction involved patients with thrombocytopenia < 100.000/mm3 or the international normalized ratio (INR) value ≥1.5.
For the statistical analysis, the Jamovi 1.6.23 software was used. In relation to the qualitative variables, frequencies and proportions were calculated. In relation to the quantitative variables, the average, standard deviation, median, quartiles, maximum and minimum amount were evaluated. For the analysis of categorical variables, the chisquare and Fisher's exact test were used. Quantitative variables of nonparametric distribution were analysed through the Kruskal-Wallis test and for the normal distribution data, the ANOVA test was used. The survival analysis was made through the log-rank test and Kaplan-Meier curves. The odds ratio (OR) was calculated with significance level of 5% (p≥0.05) and 95% confidence interval (95%CI). All the variables with p≥0.05 were evaluated by the logistic regression for the avoidance of possible confounders in the association between AKI and death.
The population of pediatric ICU admitted patients during the studied period was 810 children, excluding 726 children, resulting in a sample of 84 patients. In a decreasing order of frequency, 18 (21.4%) patients had acute lymphoid leukemia, 14 (16.7%) acute myeloid leukemia, 10 (11.9%) medulloblastoma, 9 (10.7%) glioma, 7 (8.3%) lymphoma, 5 (6%) neuroblastoma, 4 (4.7%) ependymoma, 4 (4.7%) rhabdomyosarcoma, 3 (3.6%) Ewing's sarcoma, 2 (2.4%) craniopharyngioma, 2 (2.4%) choroid plexus tumor, 1 (1.2%) adrenal carcinoma, 1 (1.2%) hepatocarcinoma, 1 (1.2%) osteosarcoma, 1 (1.2%) pleomorphic sarcoma, 1 (1.2%) teratoid rhabdoid tumor and 1 (1.2%) tongue tumor.
The sample showed a discrete male predominance (51.1%), with age medians and death expectation of 6.5 years and 1.9%, respectively. The main reason for the ICU admission was for monitoring, followed by hemodynamic shock, respiratory failure, and reduced level of awareness. Among the patients that were admitted for monitoring, 5 (12.2%) showed a risk of tumor lysis syndrome and 36 (87.8%) were in a post-surgical state. Fifty-three percent of the children had solid tumors, 39% had recently received the cancer diagnosis, 32.1% went through chemotherapy less than 4 weeks before ICU admission, 29.8% had febrile neutropenia, and 11.9% had a history of bone marrow transplant. The median of the ICU length of admittance was 5 days and 23 (27.3%) children died (
| Variables | General (%) |
|---|---|
| Age (year)a | 6.5 (3-12) |
| Male | 43 (51.1) |
| Reason for admission Monitoring | 41 (48.8) |
| Respiratory failure | 13 (15.5) |
| Hemodynamic shock | 20 (23.8) |
| Reduced level of awareness | 10 (11.9) |
| PRISMa | 1.9 (0.8-4.2) |
| Type of neoplasm Hematological | 39 (46.4) |
| Solid | 45 (53.6) |
| Diagnosis time <2 months | 33 (39.2) |
| Chemotherapy <4 weeks | 27 (32.1) |
| Febrile neutropenia <1.500cel/mm3 | 25 (29.8) |
| <500cel/mm3 | 20 (23.8) |
| BMT | 10 (11.9) |
| Basal creatinine (mg/dL)a | 0.3 (0.2-0.4) |
| AKI | 43 (51.2) |
| AKI stages Stage 1 | 12 (27.9) |
| Stage 2 | 17 (39.5) |
| Stage 3 | 14 (32.6) |
| AKI period since admission (days)a | 2 (1-4) |
| Volume overload | 32 (38) |
| NTD | 41 (48.8) |
| MODS | 48 (57.1) |
| RRT | 7 (8.3) |
| Length of stay (days)a | 5 (2-11) |
| Death | 23 (27.3) |
PRISM: Pediatric risk of mortality 2; BMT: Bone marrow transplant; AKI: Acute kidney injury; NTD: Nephrotoxic drug; MODS: Multiple organ dysfunction syndrome; RRT: Renal replacement therapy; a Values expressed in median (p25-p75).
Among the research subjects, 43 (51.2%) developed AKI, in which most of them were in the first 48 hours of admittance. Of these subjects, 12 (27.9%) were in stage 1, 17 (39.5%) stage 2 and 14 (32.6%) stage 3.
The AKI diagnosis occurred through the urine flow rate in only 7.1% of the sample, being that most of it was made through the serum creatinine level. Besides that, 38% of it developed volume overload, 53.6% used furosemide and 8.3% needed renal replacement therapy. The most used classes of nephrotoxic drugs by the pediatric intensivist were antibiotics (39.3%), antivirals (9.5%) and nonsteroidal anti-inflammatory (4.8%). The variables that had a statistically significant association with the stages of acute kidney injury were bone marrow transplant (p=0.035), admission by hemodynamic shock (p=0.019), PRISM score (p= 0.036), volume overflow (p<0.001) and SDMO (p<0.001). More advanced stages of AKI were associated with RRT (p<0.001), longer ICU admission length (p=0.006) and death (p=0.003) (
| Variables | Without AKI (%) | AKI 1 (%) | AKI 2 (%) | AKI 3 (%) | p |
|---|---|---|---|---|---|
| Age (year)a | 7 (3-12) | 3 (2-12) | 6 (3-10) | 8 (4.5-11) | 0.57 |
| Male | 22 (51.2) | 6 (14) | 10 (23.3) | 5 (11.6) | 0.48 |
| Basal creatininea | 0.4 (0.3-0.4) | 0.2 (0.2-0.4) | 0.3 (0.2-0.4) | 0.3 (0.2-0.4) | 0.3 |
| PRISMa | 1.3 (0.8-2.8) | 2.1 (0.8-3.6) | 2.8 (1.5-7.6) | 3.1 (1.6-7.2) | 0.036 |
| Chemotherapy ≥4 weeks | 10 (37) | 6 (22.2) | 6 (22.2) | 5 (18.5) | 0.27 |
| Diagnosis <2 months | 17 (51.5) | 7 (21.2) | 6 (18.2) | 3 (9.1) | 0.28 |
| Hematologic neoplasm | 14 (35.9) | 8 (20.5) | 10 (25.6) | 7 (17.9) | 0.08 |
| Febrile neutropenia | 9 (36) | 5 (20) | 8 (32) | 3 (12) | 0.34 |
| BMT | 2 (20) | 1 (10) | 4 (40) | 3 (30) | 0.035 |
| Admission shock | 6 (30) | 1 (5) | 8 (40) | 5 (25) | 0.019 |
| NTD | 16 (39) | 7 (17.1) | 10 (24.4) | 8 (19.5) | 0.11 |
| Fluid overload | 7 (21.9) | 4 (12.5) | 11 (34.4) | 10 (31.3) | <0.001 |
| MODS | 13 (27.1) | 8 (16.7) | 16 (33.3) | 11 (22.9) | <0.001 |
| RRT | 0 (0) | 1 (14.3) | 1 (14.3) | 5 (71,4) | <0.001 |
| Length of stay (days)a | 2 (2-7) | 7 (2.7-12.3) | 10 (4-7) | 6.5 (5.2-18) | 0.006 |
| Death | 8 (34.8) | 0 (0) | 6 (26.1) | 9 (39.1) | 0.003 |
AKI: Acute kidney injury; PRISM: Pediatric risk of mortality 2; BMT: Bone marrow transplant; NTD: Nephrotoxic drug; MODS: Multiple organ dysfunction syndrome; RRT: Renal replacement therapy.a Values expressed in median (p25-p75).
The survival analysis identified the highest death risk among the patients with acute kidney injury stages 2 or 3 when compared to children without AKI or stage 1 (log-rank test, p=0.045) (
Figure 1 Survival analysis of patients with acute kidney injury Kaplan-Meier curves representing the difference in survival between patients without acute kidney injury or stage 1 in relation to patients with acute kidney injury stages 2 or 3, log-rank test p = 0,045.
| Variables | Death Yes (%) No (%) | Total | OR | 95%CI | p | |
|---|---|---|---|---|---|---|
| Age Infant | 2 (22.2) | 7 (77.8) | 9 | 0.57 | 0.09-3.27 | 0.53 |
| Preschool | 6 (25) | 18 (75) | 24 | 0.66 | 0.2-2.2 | 0.5 |
| School | 5 (23.8) | 16 (76.2) | 21 | 0.62 | 0.17-2.2 | 0.46 |
| Teenager | 10 (33.3) | 20 (66.7) | 30 | 1 | ||
| Gender Male | 14 (32.6) | 29 (67,4) | 43 | 1.72 | 0.64-4.56 | 0.27 |
| Female | 9 (22) | 32 (78) | 41 | 1 | ||
| PRISM ≥5% | 9 (53) | 8 (47) | 17 | 4.26 | 1.39-13 | 0.008 |
| <5% | 14 (21) | 53 (79) | 67 | 1 | ||
| Type of neoplasm Hematological | 16 (41) | 23 (59) | 39 | 3.78 | 1.35-10.6 | 0.009 |
| Solid | 7 (15.6) | 38 (84.4) | 45 | 1 | ||
| Chemotherapy ≥4 weeks Yes | 11 (40.7) | 16 (59.3) | 27 | 2.58 | 0.95-6.99 | 0.059 |
| No | 12 (21.1) | 45 (78.9) | 57 | 1 | ||
| Febrile neutropenia Yes | 11 (44) | 14 (56) | 25 | 3.08 | 1.12-8.47 | 0.026 |
| No | 12 (20.3) | 47 (79.7) | 59 | 1 | ||
| BMT Yes | 5 (50) | 5 (50) | 10 | 3.11 | 0.8-12 | 0.087 |
| No | 18 (24.3) | 56 (75.7) | 74 | 1 | ||
| Respiratory dysfunction Yes | 23 (50) | 23 (50) | 46 | 37 | 4.46-292 | <0.001 |
| No | 1 (2.6) | 37 (97.4) | 38 | 1 | ||
| Cardiovascular dysfunction Yes | 21 (63.6) | 12 (36.4) | 33 | 42.9 | 8.82-209 | <0.001 |
| No | 2 (3.9) | 49 (96.1) | 51 | 1 | ||
| Kidney dysfunction Yes | 15 (48.4) | 16 (51.6) | 31 | 5.27 | 1.88-14.8 | <0.001 |
| No | 8 (15.1) | 45 (84.9) | 53 | 1 | ||
| Liver dysfunction Yes | 10 (62.5) | 6 (37.5) | 16 | 7 | 2.17-22.9 | <0.001 |
| No | 13 (19.1) | 55 (80.9) | 68 | 1 | ||
| Neurological dysfunction Yes | 11 (55) | 9 (45) | 20 | 5.3 | 1.8-15.6 | 0.002 |
| No | 12 (18.8) | 52 (81.3) | 64 | 1 | ||
| Hematologic dysfunction Yes | 16 (44.4) | 20 (55.6) | 36 | 4.69 | 1.66-13.2 | 0.002 |
| No | 7 (14.5) | 41 (85.5) | 48 | 1 | ||
| Fluid overload Yes | 12 (37.5) | 20 (62.5) | 32 | 2.24 | 0.84-5.94 | 0.1 |
| No | 11 (21.2) | 41 (78.8) | 52 | 1 | ||
| RRT Yes | 5 (71.4) | 2 (28.6) | 7 | 8.19 | 1.46-45.9 | 0.006 |
| No | 18 (23.4) | 59 (76.6) | 77 | 1 | ||
| Total | 23 (27.3) | 61 (72.7) | 84 | |||
PRISM: Pediatric risk of mortality 2; BMT: Bone marrow transplant; RRT: Renal replacement therapy.
After logistic regression, the only independent predictors of mortality were cardiovascular dysfunction (p=0.017) and neurological dysfunction (p=0.023).
It has been observed that all patients with up to 1 organic dysfunction were dismissed from the ICU. On the other hand, 33.3% of the children with 2 or 3 organic dysfunctions and 70.8% of patients with 4 or more organic dysfunctions evolved to death (p<0.001).
Our study identified that 51.2% of the sample developed some degree of acute kidney injury, being that more advanced stages of this complication showed a higher association with death. The incidence of renal dysfunction in severe pediatric patients may vary from 5% to 82% depending on the characteristics of the subjects studied.
On the other hand, we noticed that the renal dysfunction does not compromise the body homeostasis of the critical patient in isolation. It is generally associated with other organic dysfunctions that, as a whole, result in a higher risk of death. That becomes clear when we observe that the only independent predictors of mortality in the study were cardiovascular and neurological dysfunctions, which were also found by other authors.
The cardiovascular dysfunction is characterized by the body's inability to supply the tissues with blood in a satisfactory way. This results in anaerobic metabolism, lactic acidosis and multiple organ dysfunction syndrome.
Patients with a history of BMT may show additional risk factors for the development of AKI, such as graft-versus-host disease, thrombotic microangiopathy, immunosuppressive nephrotoxicity, and sinusoidal obstruction syndrome.
Once the treatment of children with cancer involves the administration of large amounts of volume through the use of antimicrobials, hyperhydration, sedatives, chemotherapy, and transfusions, these patients show a higher risk of volume overload, especially in the presence of AKI with reduced urine flow rate.
In view of these findings, avoiding advanced stages of AKI and its possible complications seem to be the most plausible strategy. The systematic monitoring of the renal function through the serum creatinine level and the urine flow rate must be the rule, so as to make an early diagnosis.
As positive points, our study was performed in a general ICU, reference in pediatrics, with a diverse sample of neoplasms and a research protocol with specific definitions. This allows us to generalize the data to other units. A holistic analysis of the critically ill patients, made it possible to minimize the risk of confusion bias in the association between AKI and death, when taking the multiple organ dysfunction syndrome into consideration. However, some limitations are shown. Firstly, the study is a retrospective study with a sample size that may be considered small when compared to other papers in the literature. Secondly, the iodinated contrast was not included in the list of nephrotoxic medications due to the absence of specification of types and their respective osmolarities. Thirdly, some risk factors such as graft-versus-host, thrombotic microangiopathy, and sinusoidal obstruction syndrome were not evaluated in this study. Finally, it was not possible to assess the dry weight of all the patients in the study, being opted in the use of the weight in the ICU admittance.
Children with oncological disease showed many risk factors of acute kidney injury, and this complication is associated with the increase of mortality rate, especially when associated with multiple organ dysfunction syndrome.
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Journal: Brazilian Journal of Oncology
DOI: 10.1055/s-00059887
e-issn: 2526-8732
Publisher: Thieme Revinter Publicações Ltda.
Publisher address: Rua do Matoso 170, Rio de Janeiro, RJ, CEP 20270-135, Brazil
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