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Comparing the pRIFLE, AKIN, KDIGO, and modified KDIGO criteria in neonates after cardiac surgery.
While several standardized criteria for acute kidney injury (AKI) have been studied, there is no consensus on which criteria to use in neonates after cardiac surgery. The goal of this research was to compare the AKI incidence and outcomes according to the pediatric Risk, Injury, Failure and Loss, and End-Stage (pRIFLE), AKI Network (AKIN), Kidney Disease Improving Global Outcomes (KDIGO), and modified KDIGO (mKDIGO) criteria in neonates following congenital cardiac surgery.
A clinical database of all neonates undergoing congenital cardiac surgery admitted to the Cantonese cardiac center from 2014 to 2020 was retrospectively analyzed. AKI was based on the pRIFLE, AKIN, KDIGO, and mKDIGO classification. The predictive abilities for postoperative outcomes were compared by receiver operating curves, and multivariate logistic regression analysis was used to assess the association of AKI definitions with postoperative outcomes.
In the study population of 522 patients, 177, 110, 131, and 114 neonates had AKI according to the pRIFLE, AKIN, KDIGO, and mKDIGO criteria, respectively. After multivariate analysis, all definitions were found to be significant predictors of increased mortality. The AUCs for mortality were substantially different with pRIFLE (AUC, 0.795), AKIN (AUC, 0.724), KDIGO (AUC, 0.819), and mKDIGO (AUC, 0.831) (P < 0.01) across the entire population, whereas the mKDIGO system was more accurate than the pRIFLE, AKIN, and KDIGO systems.
The incidence of AKI varied across all definitions. However, the mKDIGO system was more accurate in predicting in-hospital mortality than the pRIFLE, AKIN, and KDIGO systems in neonates after heart surgery.
Lu C
,Lian J
,Cao Z
,Chen L
,Liang J
,Wang S
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A comparison of the systems for the identification of postoperative acute kidney injury in pediatric cardiac patients.
The pediatric-modified Risk, Injury, Failure and Loss, and End-Stage (pRIFLE) criteria and a different but conceptually similar system termed Acute Kidney Injury Network (AKIN) were created to standardize the definition of acute kidney injury (AKI) in children. Kidney Disease: Improving Global Outcomes (KDIGO) currently recommends a combination of AKIN and pRIFLE in AKI. This study aimed to compare the three classifications for predicting AKI in pediatric patients undergoing cardiac operations.
We analyzed the prospectively collected data of 1,489 consecutive pediatric patients undergoing cardiac operations between January 2004 and December 2008. AKI presence and severity was assessed for each classification using the change in serum creatinine and estimated creatinine clearance levels calculated by the Schwartz equation.
AKI was present in 285 (20%), 481 (34%), and 409 (29%) patients according to the AKIN, pRIFLE, and KDIGO systems, respectively. The KDIGO classification categorized 121 patients (8%) who were placed in the AKIN 0 category, whereas the pRIFLE system categorized 74 (5%) in KDIGO 0 and 200 (14%) in AKIN 0 stages as having an AKI. The overall mortality rate was 3.9%. The KDIGO stage III (odds ratio [OR], 18.8; 95% confidence interval [CI], 9.6 to 36.6, p < 0.001), the AKIN stage III (OR, 38.3; 95% CI, 20.6 to 70.9, p < 0.001), and pRIFLE failure group (OR, 13.6, 95% CI, 7 to 26.3; p < 0.001) were associated with increased mortality.
The pRIFLE system was the most sensitive test in detecting AKI, and this was especially so in the infant age group and also in the early identification of AKI in low-risk patients. The AKIN system was more specific and detected mostly high-risk patients across all age groups. The KDIGO classification system fell between pRIFLE and AKIN in performance. All three had increasing severity of AKI associated with mortality.
Lex DJ
,Tóth R
,Cserép Z
,Alexander SI
,Breuer T
,Sápi E
,Szatmári A
,Székely E
,Gál J
,Székely A
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Validation of acute kidney injury according to the modified KDIGO criteria in infants after cardiac surgery for congenital heart disease.
We aimed to validate the incidence of, risk factors for, and postoperative outcomes of acute kidney injury (AKI) according to the modified Kidney Disease Improving Global Outcomes (m-KDIGO) criteria and compare this criteria with both the paediatric Risk, Injury, Failure, Loss, End-stage disease (pRIFLE) and Acute Kidney Injury Network (AKIN) criteria in infants after cardiac surgery.
We retrospectively enrolled 145 consecutive infants who underwent open-heart surgery at Kagoshima University Hospital.
Acute kidney injury was present in 55 (37.9%), 111 (75.9%), and 95 (65.5%) patients according to the m-KDIGO, pRIFLE, and AKIN criteria, respectively. Among these, 71.9% of patients pRIFLE Risk patients and 60.5% of AKIN 1 patients were categorized in the 'no-AKI' group according to the m-KDIGO criteria. Low body weight (m-KDIGO odds ratio [OR], 0.73; P = 0.015; pRIFLE OR, 0.66; P = 0.001; AKIN OR 0.69, P = 0.002) and prolonged cross-clamp time (m-KDIGO OR, 1.02; <P = 0.001; pRIFLE OR, 1.02; P = 0.003; AKIN OR, 1.02; P = 0.001) were independent risk factors for the development of AKI. Further, m-KDIGO-based AKI grade was more strongly associated with higher incidence of requiring renal replacement therapy and mortality than both the pRIFLE- and AKIN- based AKI grade.
Application of the three criteria resulted in different AKI incidences, but each criterion could be useful for detecting risk factors for AKI. Notably, using m-KDIGO criteria provides more important subsequent postoperative outcomes. The m-KDIGO AKI criteria describe clinically relevant AKI in infants after cardiac surgery.
Ueno K
,Seki S
,Shiokawa N
,Matsuba T
,Miyazono A
,Hazeki D
,Imoto Y
,Kawano Y
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AKI in hospitalized children: comparing the pRIFLE, AKIN, and KDIGO definitions.
Although several standardized definitions for AKI have been developed, no consensus exists regarding which to use in children. This study applied the Pediatric RIFLE (pRIFLE), AKI Network (AKIN), and Kidney Disease Improving Global Outcomes (KDIGO) criteria to an anonymized cohort of hospitalizations extracted from the electronic medical record to compare AKI incidence and outcomes in intensive care unit (ICU) and non-ICU pediatric populations.
Observational, electronic medical record-enabled study of 14,795 hospitalizations at the Lucile Packard Children's Hospital between 2006 and 2010. AKI and AKI severity stage were defined by the pRIFLE, AKIN, and KDIGO definitions according to creatinine change criteria; urine output criteria were not used. The incidences of AKI and each AKI stage were calculated for each classification system. All-cause, in-hospital mortality and total hospital length of stay (LOS) were compared at each subsequent AKI stage by Fisher exact and Kolmogorov-Smirnov tests, respectively.
AKI incidences across the cohort according to pRIFLE, AKIN, and KDIGO were 51.1%, 37.3%, and 40.3%. Mortality was higher among patients with AKI across all definitions (pRIFLE, 2.3%; AKIN, 2.7%; KDIGO, 2.5%; P<0.001 versus no AKI [0.8%-1.0%]). Within the ICU, pRIFLE, AKIN, and KDIGO demonstrated progressively higher mortality at each AKI severity stage; AKI was not associated with mortality outside the ICU by any definition. Both in and outside the ICU, AKI was associated with significantly higher LOS at each AKI severity stage across all three definitions (P<0.001). Definitions resulted in differences in diagnosis and staging of AKI; staging agreement ranged from 76.7% to 92.5%.
Application of the three definitions led to differences in AKI incidence and staging. AKI was associated with greater mortality and LOS in the ICU and greater LOS outside the ICU. All three definitions demonstrated excellent interstage discrimination. While each definition offers advantages, these results underscore the need to adopt a single, universal AKI definition.
Sutherland SM
,Byrnes JJ
,Kothari M
,Longhurst CA
,Dutta S
,Garcia P
,Goldstein SL
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The comparison of three different acute kidney injury classification systems after congenital heart surgery.
We aimed to compare the frequency of acute kidney injury (AKI) and its effects on mortality and morbidity with different classification systems in pediatric patients who had surgery under cardiopulmonary bypass for congenital heart disease.
This study included children younger than 18 years old who were followed up in the pediatric cardiac intensive care unit between September 1 and December 1, 2020, after congenital heart surgery with cardiopulmonary bypass. Each case was categorized postoperatively in terms of AKI using Pediatric-Modified Risk, Injury, Failure, Loss, and End-Stage (pRIFLE), Acute Kidney Injury Network (AKIN), and Kidney Disease: Improving Global Outcomes (KDIGO). Hospital mortality (developed within the first 30 days postoperatively) and morbidity (longer than 7 days intensive care unit stay) were compared by three model classes. Results were evaluated statistically.
One hundred patients were included in the study. The median age was 3 months (1 day-180 months). Acute kidney injury was diagnosed in 49% of the cases according to the pRIFLE classification. It was diagnosed in 31% of the patients by AKIN classification. It was diagnosed in 41% of the patients with the KDIGO criteria. Morbidity was observed in 25% (n = 25) of all cases. The morbidity predictor was 0.800 for pRIFLE, 0.747 for AKIN and 0.853 for KDIGO by receiver operating characteristics analysis. All three categories predicted morbidity significantly (P < 0.001). Mortality was 10% (n = 10) for all groups. The mortality predictor was 0.783 for pRIFLE, 0.717 for AKIN and 0.794 for KDIGO by receiver operating characteristics analysis, and all three categories predicted mortality significantly (P < 0.001).
Regardless of the three methods used, AKI was commonly detected in pediatric patients undergoing congenital heart surgery. pRIFLE classification diagnosed more patients with AKI than AKIN and KDIGO. The KDIGO and pRIFLE classifications were better in predicting hospital mortality.
Ozcanoglu HD
,Öztürk E
,Tanıdır İC
,Şahin GT
,Ozalp S
,Yıldız O
,Özcan FG
,Hatemi A
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