Key result
Acute kidney injury diagnosed by KDIGO criteria but missed by RIFLE or AKIN criteria was independently associated with increased in-hospital mortality (OR 3.24) in patients with acute heart failure.
Why the study?
Does the KDIGO criteria improve the identification and prediction of in-hospital mortality in adult patients with acute heart failure compared to RIFLE or AKIN criteria?
Cohort (n=1,005)
Yes
Does the KDIGO criteria improve the identification and prediction of in-hospital mortality in adult patients with acute heart failure compared to RIFLE or AKIN criteria?
Odds Ratio: 3.24 (95% CI 1.97–5.35)
Absolute Event Rate: 22.7% vs 7.2%
p-value: p=<0.001
The KDIGO criteria identify significantly more cases of early cardiorenal syndrome type 1 than RIFLE or AKIN, and these additionally identified cases carry a significantly increased risk of in-hospital mortality.
KDIGO may enhance AKI detection and mortality risk stratification in acute HF; leaves open whether it should replace RIFLE/AKIN.
OBJECTIVE: Acute kidney injury (AKI) in patients hospitalized for acute heart failure (AHF) is usually type 1 of the cardiorenal syndrome (CRS) and has been associated with increased morbidity and mortality. Early recognition of AKI is critical. This study was to determine if the new KDIGO criteria (Kidney Disease: Improving Global Outcomes) for identification and short-term prognosis of early CRS type 1 was superior to the previous RIFLE and AKIN criteria. METHODS: The association between AKI diagnosed by KDIGO but not by RIFLE or AKIN and in-hospital mortality was retrospectively evaluated in 1005 Chinese adult patients with AHF between July 2008 and May 2012. AKI was defined as RIFLE, AKIN and KDIGO criteria, respectively. Cox regression was used for multivariate analysis of in-hospital mortality. RESULTS: Within 7 days on admission, the incidence of CRS type 1 was 38.9% by KDIGO criteria, 34.7% by AKIN, and 32.1% by RIFLE. A total of 110 (10.9%) cases were additional diagnosed by KDIGO criteria but not by RIFLE or AKIN. 89.1% of them were in Stage 1 (AKIN) or Stage Risk (RIFLE). They accounted for 18.4% (25 cases) of the overall death. After adjustment, this proportion remained an independent risk factor for in-hospital mortality [odds ratios (OR)3.24, 95% confidence interval(95%CI) 1.97-5.35]. Kaplan-Meier curve showed AKI patients by RIFLE, AKIN, KDIGO and [K(+)R(-)+K(+)A(-)] had lower hospital survival than non-AKI patients (Log Rank P<0.001). CONCLUSION: KDIGO criteria identified significantly more CRS type 1 episodes than RIFLE or AKIN. AKI missed diagnosed by RIFLE or AKIN criteria was an independent risk factor for in-hospital mortality, indicating the new KDIGO criteria was superior to RIFLE and AKIN in predicting short-term outcomes in early CRS type 1.
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Li et al. (2014) conducted a cohort in Acute Heart Failure / Early Cardiorenal Syndrome Type 1 (n=1,005). Acute kidney injury diagnosed by KDIGO but missed by RIFLE or AKIN vs. No acute kidney injury was evaluated on In-hospital mortality (OR 3.24, 95% CI 1.97-5.35, p=<0.001). Acute kidney injury diagnosed by KDIGO criteria but missed by RIFLE or AKIN criteria was independently associated with increased in-hospital mortality (OR 3.24) in patients with acute heart failure.
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