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Identifying Ascites in Patients with Cirrhosis Using Administrative Codes and Diuretic Use: A Multicenter Study
Juan J Gonzalez1, Jennifer Dziwis2, Yuval A Patel3
1Division of Hospital Medicine, Department of Internal Medicine, University of Michigan Medical School, 1500 E Medical Center Dr, Ann Arbor, MI, 48109, USA. juanjgon@umich.edu.
Identifying ascites in large patient studies is challenging. Combining diuretic records with cirrhosis codes offers a more sensitive and specific method than traditional ICD-10 codes for ascites identification.
Area of Science:
- Hepatology
- Clinical Informatics
- Medical Record Analysis
Background:
- Ascites significantly increases patient morbidity, mortality, and healthcare costs.
- Accurate patient identification is crucial for large-scale ascites research.
- Current ICD-10 codes for ascites have poor performance in patient identification.
Purpose of the Study:
- To evaluate the effectiveness of ascites-related ICD-10 codes.
- To assess the utility of diuretic use and cirrhosis codes for identifying ascites patients.
- To propose an improved method for ascites identification in large datasets.
Main Methods:
- Retrospective analysis of three independent patient cohorts (n=315).
- Evaluation of performance characteristics for ascites ICD-10 codes (K70.31, K70.11, K71.51, R18.8).
- Assessment of loop and/or potassium-sparing diuretics combined with cirrhosis codes.
Main Results:
- Algorithms using any ascites code showed improved sensitivity over R18.8 alone.
- Diuretic records combined with cirrhosis codes demonstrated high sensitivity and specificity (e.g., 82.3% sensitivity, 89.1-93.5% specificity in cohort 2).
- Ascites codes alone were found to be insensitive.
Conclusions:
- Diuretic records combined with cirrhosis codes enhance ascites identification.
- This combined approach offers a more reliable method for ascites detection in large studies.
- The proposed method should be adopted for future large-scale ascites research.
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