A New Elixhauser-based Comorbidity Summary Measure to Predict In-Hospital Mortality. Issue 4 (April 2015)

• Record Type: Journal Article
• Authors: Thompson, Nicolas R.; Fan, Youran; Dalton, Jarrod E.; Jehi, Lara; Rosenbaum, Benjamin P.; Vadera, Sumeet; Griffith, Sandra D.
• Is Part Of: Medical care. Volume 53:Issue 4(2015)
• Publication Date: 2015-04
• Subjects: Economics, Medical -- Periodicals; Insurance, Health -- Periodicals; Santé, Services de -- Administration -- Périodiques; Soins médicaux -- Périodiques; Medical economics -- Periodicals; Health insurance -- Periodicals; Medical economics -- United States -- Periodicals; Health insurance -- United States -- Periodicals; Comprehensive Health Care -- Periodicals; Personal Health Services -- Periodicals; Gezondheidszorg; Économie de la santé -- Périodiques; Santé, Services de -- Périodiques; Health insurance; Medical economics; United States; Periodicals; 362.10973
• DOI: 10.1097/MLR.0000000000000326
• Languages: English
• ISSNs: 0025-7079

Abstract

<abstract> <title> <x xml:space="preserve">Abstract</x> </title> <sec> <title>Background:</title> <p>Recently, van Walraven developed a weighted summary score (VW) based on the 30 comorbidities from the Elixhauser comorbidity system. One of the 30 comorbidities, cardiac arrhythmia, is currently excluded as a comorbidity indicator in administrative datasets such as the Nationwide Inpatient Sample (NIS), prompting us to examine the validity of the VW score and its use in the NIS.</p> </sec> <sec> <title>Methods:</title> <p>Using data from the 2009 Maryland State Inpatient Database, we derived weighted summary scores to predict in-hospital mortality based on the full (30) and reduced (29) set of comorbidities and compared model performance of these and other comorbidity summaries in 2009 NIS data.</p> </sec> <sec> <title>Results:</title> <p>Weights of our derived scores were not sensitive to the exclusion of cardiac arrhythmia. When applied to NIS data, models containing derived summary scores performed nearly identically (<italic>c</italic> statistics for 30 and 29 variable-derived summary scores: 0.804 and 0.802, respectively) to the model using all 29 comorbidity indicators (<italic>c</italic>=0.809), and slightly better than the VW score (<italic>c</italic>=0.793). Each of these models performed substantially better than those based on a simple count of Elixhauser comorbidities (<italic>c</italic>=0.745) or a categorized count (0, 1, 2, or ≥3 comorbidities; <italic>c</italic>=0.737).</p> </sec> <sec> <title>Conclusions:</title> <p>The VW score and our derived scores are valid in the NIS and are statistically superior to summaries using simple comorbidity counts. Researchers wishing to summarize the Elixhauser comorbidities with a single value should use the VW score or those derived in this study.</p> </sec> </abstract>