Gout-related inpatient utilization: a study of predictors of outcomes and time trends

Abstract

BACKGROUND To assess inpatient healthcare burden of gout in the USA after an Emergency Department (ED) visit and the predictors of gout-related hospitalizations. METHOD We used the 2009, 2010 and 2012 US National ED Sample (NEDS) data to examine the time trends in inpatient visits with gout as the primary diagnosis. We used the 2012 NEDS data to assess multivariable-adjusted predictors of length of hospital stay, discharge to home (versus other) and total charges for gout-related inpatient visits. RESULTS Of the 205,152 ED visits for gout as the primary diagnosis in 2012, 7.7 % resulted in hospitalization. In 2009, 2010 and 2012, 63 %, 63 % and 64.5 % of hospitalized patients were discharged home; respective durations of hospital stay were 4.15, 4.00 and 3.86 days. Older age 50 to <65 years (ref <50), renal failure, heart failure, osteoarthritis and diabetes were associated with a longer hospital stay and self-pay/uninsured status, hospital location in the Midwest or Western USA with a shorter hospital stay for gout. Similar factors were associated with total charges for gout-related admissions. Older age (65 to <80 and ≥80, relative to <50 years), diabetes, self-pay/no charge insurance status, metropolitan area residence, and a longer length of hospital stay were associated with lower odds of discharge to home; and self-pay/no charge (uninsured) status was associated with higher odds of discharge to home, compared to Medicare coverage. CONCLUSIONS Using a national sample, we noted declining duration of hospital stay and identified factors associated with the length of hospital stay, discharge to home and charges for gout hospitalization following an ED visit. Future studies should examine whether better management of comorbidities in patients with gout can further reduce utilization and cost of gout-related hospitalizations.

DOI: 10.1186/s13075-016-0936-y

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@inproceedings{Singh2016GoutrelatedIU, title={Gout-related inpatient utilization: a study of predictors of outcomes and time trends}, author={Jasvinder A Singh and Shaohua Yu}, booktitle={Arthritis research & therapy}, year={2016} }