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J Clin Rheumatol ; 26(5): 192-196, 2020 Aug.
Article in English | MEDLINE | ID: mdl-31022055

ABSTRACT

BACKGROUND/OBJECTIVE: Granulomatosis with polyangiitis (GPA) is a systemic necrotizing vasculitis that often results in frequent hospitalizations. We investigated the characteristics and predictors of 30-day hospital readmissions in GPA. METHODS: We performed a cross-sectional analysis using the 2014 National Readmission Database. We included nonelective admissions with a primary or secondary diagnosis of GPA. We compared characteristics between readmissions and nonreadmissions. Independent predictors for readmissions were studied using mixed-effects multivariable logistic regression. RESULTS: We evaluated a total of 9749 hospital admissions with GPA, among which there were 2173 readmissions (22.3%) within 30 days of discharge. The top 5 primary reasons for readmissions were GPA, sepsis, pneumonia, acute respiratory failure, and acute kidney injury. Granulomatosis with polyangiitis readmissions were associated with higher length of stay (8.0 vs 7.2 days; p = 0.019) and less discharge home (50% vs 63%, p < 0.001). Independent predictors for readmissions were younger age (odds ratio [OR], 0.99; p = 0.013), no private insurance (OR, 0.50; p < 0.001), higher Charlson Comorbidity Index (OR, 1.12; p = 0.039), congestive heart failure (OR, 1.71; p = 0.001), acute kidney injury (OR, 1.39; p = 0.005), and discharge to home health care (OR, 1.29; p = 0.039). CONCLUSIONS: We found a significant burden of 30-day readmissions among GPA populations. Clinicians should be vigilant regarding patients with high risk of readmissions, including those with younger age, public insurance, higher comorbidity burden, cardiac and renal complications, and unfavorable discharge dispositions.


Subject(s)
Granulomatosis with Polyangiitis , Patient Readmission , Cross-Sectional Studies , Databases, Factual , Granulomatosis with Polyangiitis/diagnosis , Granulomatosis with Polyangiitis/epidemiology , Granulomatosis with Polyangiitis/therapy , Hospitals , Humans , Retrospective Studies , Risk Factors , Time Factors , United States/epidemiology
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