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中毒患者急性肾损伤与死亡率的关系:系统评价和荟萃分析。

Relationship between acute kidney injury and mortality in poisoning - a systematic review and metanalysis.

机构信息

Paris Poison Control Centre, Federation of Toxicology APHP, Fernand Widal Hospital, Paris, France.

University of Paris, Inserm UMRS 1144, Paris, France.

出版信息

Clin Toxicol (Phila). 2021 Sep;59(9):771-779. doi: 10.1080/15563650.2021.1928161. Epub 2021 Jun 3.

Abstract

RATIONALE

Three consensus classifications of acute kidney injury have been published. These are RIFLE (Risk, Injury, Failure, Loss of kidney function, and End-stage kidney disease published by the workgroup), AKIN (published by the ) and KDIGO (published by the workgroup). Acute kidney injury has been reported consistently as associated with worsened outcomes. However, toxicant-related acute kidney injury has been excluded from the studies used to validate the classifications of acute kidney injury.

OBJECTIVE

To study whether poisoned patients who develop acute kidney injury, as defined by consensus definitions/classifications, have higher mortality compared to those who did not.

METHODS

Databases were searched from 2004 to 2019 using the following keywords (KDIGO OR "Kidney Disease: Improving Global Outcomes" OR "Kidney Disease Improving Global Outcomes" OR AKIN OR "AKI network" OR "Acute kidney Injury Network" OR ADQI OR RIFLE OR "Acute dialysis quality initiative") AND (intoxication OR poisoning OR overdose OR ingestion) AND (AKI OR kidney OR renal OR ARF). If data were available, we used a random-effects meta-analysis model and Fisher's exact test to compare mortality in patients according to kidney function definitions (acute kidney injury not) and stages (stages no acute kidney injury), respectively. If data were available, we assessed the correlation between mortality and renal function (no acute kidney injury, risk/stage 1, injury/stage 2 and failure/stage 3) using the Spearman correlation. If available, we collected the results of statistical analyses in studies that have used acute kidney injury to predict mortality.

RESULTS

Thirty-three relevant studies were found, 22/33 retrospective studies (67%) and 11/33 prospective studies (33%). Paraquat was the most frequent toxicant involved (13/33, 39%). We found a disparity between studies regarding the timeframe during which mortality was assessed, the temporality of the renal function considered to predict mortality (initial/worst) and the criteria used to define/grade acute kidney injury across studies. Consensus definitions/staging of acute kidney injury were associated with higher mortality, using univariate analyses, in twenty-eight (RIFLE = 7; AKIN = 12; KDIGO = 9) studies included but not in five (AKIN = 4, KDIGO = 1). When available data were pooled, RIFLE (5 studies), AKIN (16 studies) and KDIGO definitions (8 studies) of acute kidney injury were associated with a higher mortality (Log unadjusted Odds ratios [95%-confidence interval], 2.60 [2.23; 2.97], 2.02 [1.48; 2,52] and 3.22 [2,65; 3.78], respectively). However, we found high heterogeneity (I=54,7%) and publication bias among studies using AKIN. In ten studies with available data, the correlation between renal function (no acute kidney injury, risk/stage 1, injury/stage 2, failure/stage 3) and mortality was significant in 5 studies (RIFLE = 2; AKIN = 3), but not in five studies (RIFLE = 1; AKIN = 3; KDIGO = 1).. The definitions of acute kidney injury were associated with higher mortality in two studies (RIFLE = 2), but not in four studies (AKIN = 1 and KDIGO = 3. The stages of acute kidney injury (including one or more stages) were associated with higher mortality in four (RIFLE = 1, AKIN = 1 and KDIGO = 2).

CONCLUSIONS

All three consensus definitions/classifications were associated independently with increased mortality in poisoning but with disparity between studies reporting acute kidney injury.

摘要

背景

已有三种急性肾损伤共识分类被发表。这些分别是 RIFLE(风险、损伤、衰竭、肾功能丧失和终末期肾病,由工作组发表)、AKIN(由发表)和 KDIGO(由工作组发表)。急性肾损伤与预后恶化一直被一致报道相关。然而,中毒相关性急性肾损伤已被排除在用于验证急性肾损伤分类的研究之外。

目的

研究中毒患者中根据共识定义/分类定义的急性肾损伤患者与未发生急性肾损伤患者相比,死亡率是否更高。

方法

从 2004 年至 2019 年,使用以下关键字(KDIGO 或“肾脏病:改善全球预后”或“肾脏病改善全球预后”或 AKIN 或“急性肾损伤网络”或“急性透析质量倡议”)以及(中毒或中毒或过量或摄入)和(AKI 或肾或肾或急性肾损伤)在数据库中进行检索。如果有数据可用,我们使用随机效应荟萃分析模型和 Fisher 精确检验比较根据肾功能定义(急性肾损伤无)和阶段(无急性肾损伤阶段)的患者的死亡率。如果有数据可用,我们使用 Spearman 相关系数评估死亡率与肾功能(无急性肾损伤、风险/阶段 1、损伤/阶段 2 和衰竭/阶段 3)之间的相关性。如果可用,我们收集使用急性肾损伤预测死亡率的研究中统计分析的结果。

结果

共发现 33 项相关研究,其中 22/33 项为回顾性研究(67%),11/33 项为前瞻性研究(33%)。涉及的最常见毒物是百草枯(13/33,39%)。我们发现,研究之间在评估死亡率的时间框架、考虑预测死亡率的肾功能的时间性(初始/最差)以及在研究之间定义/分级急性肾损伤的标准方面存在差异。在包括的二十八项研究中(RIFLE = 7;AKIN = 12;KDIGO = 9),共识定义/分期的急性肾损伤与更高的死亡率相关,但在五项研究中(AKIN = 4,KDIGO = 1)则没有。当可用数据汇总时,RIFLE(5 项研究)、AKIN(16 项研究)和 KDIGO 定义(8 项研究)的急性肾损伤与更高的死亡率相关(未调整的对数优势比[95%置信区间],2.60 [2.23;2.97]、2.02 [1.48;2.52]和 3.22 [2.65;3.78])。然而,我们发现 AKIN 研究之间存在高度异质性(I=54.7%)和发表偏倚。在十项有可用数据的研究中,在五项研究中(RIFLE = 2;AKIN = 3)肾功能(无急性肾损伤、风险/阶段 1、损伤/阶段 2、衰竭/阶段 3)与死亡率之间存在显著相关性,但在五项研究中则没有(RIFLE = 1;AKIN = 3;KDIGO = 1)。急性肾损伤的定义与两项研究(RIFLE = 2)中的更高死亡率相关,但与四项研究(AKIN = 1 和 KDIGO = 3)中的更高死亡率不相关。急性肾损伤的阶段(包括一个或多个阶段)与四项研究(RIFLE = 1、AKIN = 1 和 KDIGO = 2)中的更高死亡率相关。

结论

所有三种共识定义/分类在中毒中均与死亡率增加独立相关,但报告急性肾损伤的研究之间存在差异。

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