TY - JOUR
T1 - Thirty-day readmission after status epilepticus in the United States
T2 - Insights from the nationwide readmission database
AU - Dhakar, Monica B.
AU - Thurman, David J.
AU - Haider, Hiba A.
AU - Rodriguez, Andres R.
AU - Jette, Nathalie
AU - Faught, Edward
N1 - Publisher Copyright:
© 2020 Elsevier B.V.
PY - 2020/9
Y1 - 2020/9
N2 - Objective: To determine the incidence, causes, predictors, and costs of 30-day readmissions in patients admitted with status epilepticus (SE) from a large representative United States (US) population. Methods: Adults (age ≥18 years) hospitalized with a primary diagnosis of SE (International Classification of Diseases-Ninth Revision-CM codes 345.2 or 345.3) between January 2013 and September 2015 were identified using the Nationwide Readmissions Database. A multivariable logistic regression model was used to identify predictors of 30-day readmissions. Results: Of 42,232 patients with index SE, 6372 (15.0%) were readmitted within 30 days. In the multivariable analysis, intracranial hemorrhage (odds ratio, 1.56; 95% confidence interval, 1.12–2.18), psychosis (1.26 95%, 1.05–1.50), diabetes mellitus (1.12, 95%, 1.00–1.25), chronic kidney disease (1.50, 95%, 1.31–1.72), chronic liver disease (1.51; 95%, 1.24–1.84), >3 Elixhauser comorbidities (1.18; 95%, 1.06–1.31), length of stay >4 days during index hospitalization (1.41; 95%, 1.28–1.56) and discharge to skilled nursing facility (SNF) (1.14; 95%, 1.01–1.28) were independent predictors of 30-day readmission. The most common reason for readmission was seizures (45.1%). Median length of stay and costs of readmission were 4 days (interquartile range [IQR], 2–7 days) and $7882 (IQR, $4649–$15,012), respectively. Conclusion: Thirty-day readmissions after SE occurs in 15% of patients, the majority of which were due to seizures. Readmitted patients are more likely to have multiple comorbidities, a longer length of stay, and discharge to SNF. Awareness of these predictors can help identify and target high-risk patients for interventions to reduce readmissions and costs.
AB - Objective: To determine the incidence, causes, predictors, and costs of 30-day readmissions in patients admitted with status epilepticus (SE) from a large representative United States (US) population. Methods: Adults (age ≥18 years) hospitalized with a primary diagnosis of SE (International Classification of Diseases-Ninth Revision-CM codes 345.2 or 345.3) between January 2013 and September 2015 were identified using the Nationwide Readmissions Database. A multivariable logistic regression model was used to identify predictors of 30-day readmissions. Results: Of 42,232 patients with index SE, 6372 (15.0%) were readmitted within 30 days. In the multivariable analysis, intracranial hemorrhage (odds ratio, 1.56; 95% confidence interval, 1.12–2.18), psychosis (1.26 95%, 1.05–1.50), diabetes mellitus (1.12, 95%, 1.00–1.25), chronic kidney disease (1.50, 95%, 1.31–1.72), chronic liver disease (1.51; 95%, 1.24–1.84), >3 Elixhauser comorbidities (1.18; 95%, 1.06–1.31), length of stay >4 days during index hospitalization (1.41; 95%, 1.28–1.56) and discharge to skilled nursing facility (SNF) (1.14; 95%, 1.01–1.28) were independent predictors of 30-day readmission. The most common reason for readmission was seizures (45.1%). Median length of stay and costs of readmission were 4 days (interquartile range [IQR], 2–7 days) and $7882 (IQR, $4649–$15,012), respectively. Conclusion: Thirty-day readmissions after SE occurs in 15% of patients, the majority of which were due to seizures. Readmitted patients are more likely to have multiple comorbidities, a longer length of stay, and discharge to SNF. Awareness of these predictors can help identify and target high-risk patients for interventions to reduce readmissions and costs.
KW - Readmissions
KW - Seizure
KW - Status epilepticus
UR - http://www.scopus.com/inward/record.url?scp=85085929655&partnerID=8YFLogxK
U2 - 10.1016/j.eplepsyres.2020.106346
DO - 10.1016/j.eplepsyres.2020.106346
M3 - Article
C2 - 32521438
AN - SCOPUS:85085929655
SN - 0920-1211
VL - 165
JO - Epilepsy Research
JF - Epilepsy Research
M1 - 106346
ER -