Predictive factors of poor prognosis in children with acute kidney injury treated with renal replacement therapy

Objective: To investigate the predictive factors of poor prognosis in children with acute kidney injury (AKI) treated with renal replacement therapy (RRT). Methods: In this retrospective case-control study, the clinical data were collected from 134 pediatric patients (82 male, 52 female) with AKI tr...

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Bibliographische Detailangaben
Veröffentlicht in:	Zhonghua er ke za zhi = Chinese journal of pediatrics. - 1960. - 58(2020), 9 vom: 02. Sept., Seite 725-730
1. Verfasser:	Xu, H X (VerfasserIn)
Weitere Verfasser:	Shao, X S, Li, Y H, Ying, B, Qiu, J, Zheng, S S, Tang, Y, Feng, J, Lyu, X Y, Wu, L, Li, H J
Format:	Online-Aufsatz
Sprache:	Chinese
Veröffentlicht:	2020
Zugriff auf das übergeordnete Werk:	Zhonghua er ke za zhi = Chinese journal of pediatrics
Schlagworte:	Journal Article Acute kidney injury Child Prognosis Renal replacement therapy


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100	1		\|a Xu, H X \|e verfasserin \|4 aut
245	1	0	\|a Predictive factors of poor prognosis in children with acute kidney injury treated with renal replacement therapy
264		1	\|c 2020
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520			\|a Objective: To investigate the predictive factors of poor prognosis in children with acute kidney injury (AKI) treated with renal replacement therapy (RRT). Methods: In this retrospective case-control study, the clinical data were collected from 134 pediatric patients (82 male, 52 female) with AKI treated with RRT in six tertiary hospitals from May 2015 to June 2018. According to the serum creatinine level at discharge, the patients were divided into the favorable outcome group and unfavorable outcome group. The data of sex, age, primary diseases, AKI stage, time from diagnosis of AKI to start of RRT (h) and whether to start RRT within 24 hours, urine volume and complications between the two groups were compared. Continuous variables were compared by t test and Mann-Whitney U test, and percentage or proportions were compared by Chi square test. The predictive factors of adverse prognosis were analyzed by using univariate and unconditional binary logistic regression analysis. Results: The average age of the 134 AKI patients was (6±4) years. There were 114 patients (85.0%) in the favorable outcome group and 20 patients (15.0%) in the unfavorable outcome group. No statistically significant differences were found between the two groups in terms of sex (χ(2)=2.596, P=0.107), age (t=0.718, P=0.474), primary disease (χ(2)=2.076, P=0.722), AKI stage (χ(2)=0.004, P=0.998), time from diagnosis of AKI to start RRT (h) (P=0.745), whether to start RRT within 24 hours (χ(2)=0.016, P=0.899), urine volume (χ(2)=3.118, P=0.374), fluid overload (χ(2)=0.014, P=0.905), multiple organ dysfunction syndrome (MODS) (χ(2)=2.972, P=0.085), acidosis (χ(2)=3.204, P=0.073), hyperkalemia (χ(2)=2.829, P=0.093), the level of blood urea nitrogen (t=1.351, P=0.179) and serum creatinine (P=0.901) at the beginning of RRT. In the unfavorable outcome group, the proportion of patients with mechanical ventilation (45.0% (9/20) vs. 12.3% (14/114), χ(2)=12.811, P<0.01) and the incidence of extra organ injury (≥3) (30.0% (6/20) vs. 10.5% (12/114), χ(2)=6.365, P=0.041) were higher than those in the favorable outcome group. Logistic regression analysis showed that mechanical ventilation (OR=12.540, 95%CI: 3.376-46.577, P<0.01) and hyperkalemia (OR=4.611, 95%CI: 1.265-16.805, P=0.021) were the predictive factors of poor prognosis in patients with AKI treated with RRT. Conclusion: Mechanical ventilation and hyperkalemia may predict a poor prognosis in AKI patients treated with RRT
650		4	\|a Journal Article
650		4	\|a Acute kidney injury
650		4	\|a Child
650		4	\|a Prognosis
650		4	\|a Renal replacement therapy
700	1		\|a Shao, X S \|e verfasserin \|4 aut
700	1		\|a Li, Y H \|e verfasserin \|4 aut
700	1		\|a Ying, B \|e verfasserin \|4 aut
700	1		\|a Qiu, J \|e verfasserin \|4 aut
700	1		\|a Zheng, S S \|e verfasserin \|4 aut
700	1		\|a Tang, Y \|e verfasserin \|4 aut
700	1		\|a Feng, J \|e verfasserin \|4 aut
700	1		\|a Lyu, X Y \|e verfasserin \|4 aut
700	1		\|a Wu, L \|e verfasserin \|4 aut
700	1		\|a Li, H J \|e verfasserin \|4 aut
700	1		\|a Tang, Y \|e verfasserin \|4 aut
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856	4	0	\|u http://dx.doi.org/10.3760/cma.j.cn112140-20200211-00077 \|3 Volltext
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