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 - Funding Information:
Andres Rodriguez has participated in an education symposium sponsored by Neuropace Inc.Nathalie Jette receives grant funding paid to her institution for grants unrelated to this work from NINDS (NIH U24NS107201, NIH IU54NS100064) and PCORI. She also receives an honorarium for her work as an Associate Editor of Epilepsia.Edward Faught receives research support from NIH5RO1NS088748-05, UCB Pharma, and Eisai, and has received consulting fees from Biogen, SK Life Science, and Eisai
Funding Information:
Edward Faught receives research support from NIH 5RO1NS088748-05, UCB Pharma, and Eisai, and has received consulting fees from Biogen, SK Life Science, and Eisai
Funding Information:
Nathalie Jette receives grant funding paid to her institution for grants unrelated to this work from NINDS ( NIH U24NS107201 , NIH IU54NS100064 ) and PCORI . She also receives an honorarium for her work as an Associate Editor of Epilepsia.
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 -