TY - JOUR
T1 - Neuro R2 score
T2 - Predicting high-risk neurologic readmissions within 30 days
AU - Peacock, Sarah H.
AU - Grek, Ami A.
AU - Rogers, Emily R.
AU - Freeman, William D.
AU - White, Launia J.
AU - Li, Zhuo
AU - Hartjes, Tonja
AU - Naessens, James M.
N1 - Publisher Copyright:
© American Academy of Neurology.
PY - 2020/4/14
Y1 - 2020/4/14
N2 - ObjectiveTo evaluate clinical and demographic factors of patients with neurologic disorders to determine which patient characteristics are significant for predicting 30-day hospital readmissions to develop a readmission risk predictor specific to patients with neurologic disorders.MethodsWe performed a retrospective single-center chart review for all patients admitted to the Department of Neurology or neurologic intensive care unit from January 1, 2013, to December 31, 2017. Clinical and demographic factors were analyzed to determine the association with readmission. Multivariable logistic regression analysis was performed and validated to develop a simple tool (Neuro R2 score) for predicting patients with neurologic disorders at high risk for hospital readmission.ResultsAfter removal of planned readmissions and patients who died in the hospital, the records of 4,876 patients with 314 (6.4%) readmission events were analyzed. The strongest predictors for readmission were Charlson disease count (odds ratio [OR] 1.20, 95% confidence interval [CI] 1.06-1.35, p = 0.005), urgent or emergent admission (OR 1.50, 95% CI 1.04-2.17, p = 0.031), discharge to rehabilitation (OR 1.66, 95% CI 1.16-2.35, p = 0.005), cancer (OR 1.70, 95% CI 1.15-2.50, p = 0.007), brain tumor (OR 1.82, 95% CI 1.08-3.09, p < 0.03), cerebrovascular disease (OR 2.18, 95% CI 1.53-3.11, p < 0.001), and discharge to skilled nursing facility (OR 2.43, 95% CI 1.65-3.57, p < 0.001).ConclusionsThe Neuro R2 score was developed to predict readmission risk, specifically in patients with neurologic disorders. Future research could include further validation of this readmission risk tool and strategies to reduce readmission in patients with the highest risk.
AB - ObjectiveTo evaluate clinical and demographic factors of patients with neurologic disorders to determine which patient characteristics are significant for predicting 30-day hospital readmissions to develop a readmission risk predictor specific to patients with neurologic disorders.MethodsWe performed a retrospective single-center chart review for all patients admitted to the Department of Neurology or neurologic intensive care unit from January 1, 2013, to December 31, 2017. Clinical and demographic factors were analyzed to determine the association with readmission. Multivariable logistic regression analysis was performed and validated to develop a simple tool (Neuro R2 score) for predicting patients with neurologic disorders at high risk for hospital readmission.ResultsAfter removal of planned readmissions and patients who died in the hospital, the records of 4,876 patients with 314 (6.4%) readmission events were analyzed. The strongest predictors for readmission were Charlson disease count (odds ratio [OR] 1.20, 95% confidence interval [CI] 1.06-1.35, p = 0.005), urgent or emergent admission (OR 1.50, 95% CI 1.04-2.17, p = 0.031), discharge to rehabilitation (OR 1.66, 95% CI 1.16-2.35, p = 0.005), cancer (OR 1.70, 95% CI 1.15-2.50, p = 0.007), brain tumor (OR 1.82, 95% CI 1.08-3.09, p < 0.03), cerebrovascular disease (OR 2.18, 95% CI 1.53-3.11, p < 0.001), and discharge to skilled nursing facility (OR 2.43, 95% CI 1.65-3.57, p < 0.001).ConclusionsThe Neuro R2 score was developed to predict readmission risk, specifically in patients with neurologic disorders. Future research could include further validation of this readmission risk tool and strategies to reduce readmission in patients with the highest risk.
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U2 - 10.1212/WNL.0000000000009252
DO - 10.1212/WNL.0000000000009252
M3 - Article
C2 - 32170035
AN - SCOPUS:85084966681
SN - 0028-3878
VL - 94
SP - E1614-E1621
JO - Neurology
JF - Neurology
IS - 15
ER -