天津市卫生健康科技项目(KJ20092);天津医科大学第二医院青年科研基金(2019ydey28)
摘要:目的 比较研究 AACC2020 和 KDIGO2012 2 种急性肾损伤(AKI)诊断标准在ICU 重症患者人群中 AKI 诊断率及其预后 价值的差异。方法 以 2020 年 1 月至 2021 年 8 月天津市天津医院 ICU 收治的成年重症患者为研究对象,通过查询医院信息 系统(HIS)和实验室信息系统(LIS)获取资料。分别依据 AACC2020 和 KDIGO2012 标准对研究对象在 ICU 住院 7 d 内是否发 生 AKI 进行诊断,比较两者在 AKI 诊断率、诊断时间上的差异,并比较 2 种标准与临床结局的关联。结果 有 579 例患者纳 入研究,年龄(68.8±15.6)岁,男女比为 1.6,中位 SOFA 评分为 3 分。经 KDIGO2012 标准诊断 AKI 329 例(56.8%),AACC2020 标准诊断 AKI 350 例(60.4%),2 组比较差异有统计学意义(P<0.001);2 种标准均诊断为 AKI 者 318 例(54.9%),两组 AKI 诊 断时间比较差异无统计学意义(P= 0.854)。以 KDIGO2012 为参考标准,AACC2020 对 AKI 漏诊率为3.3%(11 / 329),漏诊病例 多为基线 sCr 水平较低或较高的患者。AKIAACC2020和 AKIKDIGO2012对 ICU 死亡结局具有相当的预测效能,AUCROC 分别为 0.613 (95%CI:0.572~ 0.653)和 0.628(95%CI:0.587~ 0.667);Logistic 回归分析显示,AKIKDIGO2012与 ICU 死亡结局关联更强,校正肾脏 以外器官功能损伤因素后,OR 值为 3.249(95%CI:1.311~ 8.050)。结论 在重症患者人群 AACC2020 标准对 AKI 的诊断率高 于 KDIGO2012,但 KDIGO2012 标准与临床结局关联更强。
Abstract:Objective To determine the incidence of acute kidney injury (AKI)in critically ill patients according to the diagnostic cri teria AACC2020 and KDIGO2012 and compare the difference of predictive value. Methods The adult patients admitted to Intensive Care Unit (ICU)of Tianjin Hospital during January 2020 and August 2021 were retrospectively studied. The relevant data were ob tained through hospital information system(HIS)and liboratory information system(LIS). The occurrence of AKI within 7 days since ICU admission was identified according to criteria AACC2020 and KDIGO2012 respectively. The difference of AKI incidence and time (day)of AKI diagnosis were determined,and the association of the AKIAACC2020 and the AKIKDIGO2012 with clinical outcome in ICU was e valuated. Results A total of 579 patients were included in the current study. The average age was (68.8 ±15.6)years,the ratio of male to female was 1.6,and the median SOFA score was 3. The AKI episodes were identified as 329 (56.8%)and 350 (60.4%)by KDIGO2012 and AACC2020 criteria respectively and significant difference was determined between the two groups (P<0.001),but no significant difference could be identified in the time of AKI diagnosis (P= 0.854). When KDIGO2012 was used as the the reference, the missed diagnosis rate of AACC2020 was 3.3% (11 / 329). The most missed patients were the patients whose sCr baselines were low er or higher than those of normal populations. In ROC analysis,AKIAACC2020 and AKIKDIGO2012 showed similar power in predicting ICU mortality,with the AUCROC of 0.613 (95%CI:0.572 to 0.653)and 0.628 (95%CI:0.587 to 0.667)respectively. Logistic regression analysis determined a close association between AKIKDIGO2012 and ICU mortality with an Odds ratio (OR)value of 3.249 (95%CI:1.311 to 8.050)adjusted by SOFA without renal component. Conclusion The incidence of AKI diagnosed by AACC2020 criteria may be higher than that by KDIGO2012 in critically ill patients,but the diagnosis by KDIGO2012 criteria should be associated with clinical outcome more closely.
李晶,程姗姗,王毅,杨宏伟,王湛,宗晓龙.AACC2020 与 KDIGO2012 急性肾损伤诊断标准在 ICU 重症患者人群中 的比较研究[J].临床检验杂志,2022,(07):498-502