Abstract

BackgroundReducing 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.MethodsGLOMMS-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.ResultsThree 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.ConclusionsAKI 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.

Highlights

  • Reducing readmissions is an international priority in healthcare

  • Population This study includes all patients from the Grampian Laboratory Outcomes Morbidity and Mortality Study-II (GLOMMS-II) who were admitted to hospital in 2003 and survived to discharge (n = 16453)

  • There was a substantial increase in readmissions due to acute pulmonary oedema in those with Acute kidney injury (AKI) and estimated glomerular filtration rate (eGFR) < 60 ml/min/ 1.73 m2

Read more

Summary

Introduction

Acute kidney injury (AKI) is common, serious and a global concern This analysis evaluates AKI as a candidate risk factor for unplanned readmissions and determines the reasons for readmissions. Current tools are limited by the inclusion of risk factors that are not widely accessible in routine clinical practice [7,8,9] (e.g., critical care scores or subjective social assessments). These limitations preclude a more general use of risk prediction tools for unplanned readmissions in clinical practice

Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call