Key result
In-hospital stage 3 AKI is linked to ~180% greater risk of 90-day readmission or death.
Why the study?
Acute kidney injury (AKI) is common and serious, and its role as an independent risk factor for unplanned hospital readmissions was evaluated.
Does acute kidney injury increase the risk of unplanned 90-day hospital readmission or death in patients surviving an index hospital admission?
Cohort (n=16,453)
Does acute kidney injury increase the risk of unplanned 90-day hospital readmission or death in patients surviving an index hospital admission?
Odds Ratio: 2.8 (95% CI 2.22–3.53)
Absolute Event Rate: 45.3% vs 15.6%
p-value: p=<0.001
Acute kidney injury during hospital admission is a strong, independent predictor of 90-day unplanned readmission or death, particularly due to acute pulmonary oedema.
AKI independently predicted 90-day readmission or death; supports targeted discharge planning but leaves open whether interventions reduce events.
BACKGROUND: Reducing readmissions is an international priority in healthcare. Acute kidney injury (AKI) is common, serious and also a global concern. This analysis evaluates AKI as a candidate risk factor for unplanned readmissions and determines the reasons for readmissions. METHODS: GLOMMS-II is a large population cohort from one health authority in Scotland, combining hospital episode data and complete serial biochemistry results through data-linkage. 16453 people (2623 with AKI and 13830 without AKI) from GLOMMS-II who survived an index hospital admission in 2003 were used to identify the causes of and predict readmissions. The main outcome was "unplanned readmission or death" within 90 days of discharge. In a secondary analysis, the outcome was limited to readmissions with acute pulmonary oedema. 26 candidate predictors during the index admission included AKI (defined and staged 1-3 using an automated e-alert algorithm), prior AKI episodes, baseline kidney function, index admission circumstances and comorbidities. Prediction models were developed and assessed using multivariable logistic regression (stepwise variable selection), C statistics, bootstrap validation and decision curve analysis. RESULTS: Three thousand sixty-five (18.6%) patients had the main outcome (2702 readmitted, 363 died without readmission). The outcome was strongly predicted by AKI. Multivariable odds ratios for AKI stage 3; 2 and 1 (vs no AKI) were 2.80 (2.22-3.53); 2.23 (1.85-2.68) and 1.50 (1.33-1.70). Acute pulmonary oedema was the reason for readmission in 26.6% with AKI and eGFR < 60; and 4.0% with no AKI and eGFR ≥ 60. The best stepwise model from all candidate predictors had a C statistic of 0.698 for the main outcome. In a secondary analysis, a model for readmission with acute pulmonary oedema had a C statistic of 0.853. In decision curve analysis, AKI improved clinical utility when added to any model, although the incremental benefit was small when predicting the main outcome. CONCLUSIONS: AKI is a strong, consistent and independent risk factor for unplanned readmissions - particularly readmissions with acute pulmonary oedema. Pre-emptive planning at discharge should be considered to minimise avoidable readmissions in this high risk group.
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Sawhney et al. (2017) conducted a cohort in Hospitalized patients surviving an index hospital admission (n=16,453). Acute kidney injury vs. No acute kidney injury was evaluated on Unplanned readmission or death within 90 days of discharge (OR 2.80, 95% CI 2.22-3.53, p=<0.001). Acute kidney injury during hospital admission independently predicted unplanned 90-day readmission or death, with AKI stage 3 associated with an OR of 2.80 compared to no AKI.
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