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Hospital Readmissions for Fluid Overload among Individuals with Diabetes and Diabetic Kidney Disease: Risk Factors
Jiashen Cai1,2, Dorothy Huang1, Hanis Binte Abdul Kadir3
1Department of Renal Medicine, Singapore General Hospital, Singapore, Singapore.
Hospital readmissions for fluid overload in diabetes and diabetic kidney disease patients can be reduced. New risk models identify high-risk individuals, enabling targeted interventions to prevent hospitalizations.
Area of Science:
- Nephrology
- Endocrinology
- Cardiology
Background:
- Hospital readmissions for fluid overload are a significant concern for patients with diabetes and diabetic kidney disease.
- Recurrent fluid overload can be mitigated through evidence-based interventions.
Purpose of the Study:
- To develop and validate risk prediction models for fluid overload readmissions in patients with diabetes and diabetic kidney disease.
- To identify patients who would benefit from targeted interventions to reduce hospitalizations.
Main Methods:
- A single-center retrospective cohort study included 1,531 adult patients with diabetes and diabetic kidney disease hospitalized for fluid overload.
- Multivariable regression models were developed and compared against the LACE score for 30-day and 90-day readmissions.
Main Results:
- History of alcoholism and prior fluid overload hospitalizations were associated with 30-day readmissions.
- Cardiovascular disease and lower eGFR were linked to 90-day readmissions in diabetic kidney disease patients.
- Developed models demonstrated superior discrimination and calibration compared to the LACE score, with significant Net Reclassification Index (NRI) improvements.
Conclusions:
- Risk prediction models can effectively identify patients at high risk for fluid overload readmission.
- These models support the implementation of targeted interventions to reduce preventable hospitalizations.
- Further research can refine these models for broader clinical application.
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