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Published on: September 30, 2020
Exploring key risk factors for loss to follow-up after hospitalization for acute stroke
Benjamin R Kummer1, Soonmyung A Hwang2, Parul Agarwal3
1Icahn School of Medicine at Mount Sinai, New York, NY, United States; Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Clinical Neuro-Informatics Center, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Windreich Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Insights
Over a third of acute stroke patients were lost to follow-up (LTFU) within a year of discharge. Predictors of LTFU include self-pay status and discharge to acute care facilities, highlighting areas for intervention.
Area of Science:
- Neurology
- Public Health
- Health Services Research
Background:
- A significant number of stroke survivors experience loss to follow-up (LTFU) post-discharge.
- LTFU can elevate risks of adverse health outcomes, including mortality and rehospitalization.
Purpose of the Study:
- To identify key predictors of post-discharge LTFU in acute stroke patients.
- To inform strategies for improving continuity of care for stroke survivors.
Main Methods:
- Retrospective analysis of 2,597 acute stroke patients from January 2016 to December 2020.
- Utilized the American Heart Association's Get With the Guidelines registry.
- Employed LASSO for variable selection and logistic regression to model LTFU predictors.
Main Results:
- 33.8% of patients were LTFU within 12 months. Factors associated with increased LTFU included male sex, intracerebral hemorrhage, discharge to skilled nursing facilities, and higher modified Rankin Scale (mRS) scores.
- Adjusted analysis revealed self-pay status (aOR 3.8), discharge to acute care (aOR 5.3), and mRS of 5 (aOR 2.4) significantly increased LTFU odds.
- Medicare coverage (aOR 0.60), inpatient rehabilitation discharge (aOR 0.54), and family history of stroke (aOR 0.37) were associated with decreased LTFU odds.
Conclusions:
- Identified specific clinical characteristics and discharge destinations linked to LTFU in stroke patients.
- Findings underscore the need for targeted interventions to improve follow-up care and reduce LTFU rates.
Background:
A significant proportion of stroke patients are lost to follow-up (LTFU) after discharge, which may increase risks of morbidity, mortality, and unnecessary hospitalization. We aimed to identify predictors of post-discharge LTFU in acute stroke patients from a large academic hospital system.
Methods:
Using the American Heart Association's Get With the Guidelines registry, we conducted a retrospective analysis of acute stroke patients hospitalized at the Mount Sinai Hospital from January 2016 to December 2020. Our primary outcome was post-discharge LTFU (i.e. no ambulatory encounters within 12 months post-discharge). We used the least-absolute square and shrinkage operator (LASSO) for variable selection, then used multiple logistic regression to model the association of selected predictors with our primary outcome.
Results:
We identified 2,597 patients, of whom 878 (33.8%) were LTFU. Patients LTFU were more likely to be male (52.9% vs. 47.4%, p = 0.0088), admitted for intracerebral hemorrhage (12.1% vs. 8.9%, p = 0.0047), discharged to skilled nursing facilities (19.8% vs. 17.0%, p < 0.001), and transferred from another hospital (48.0% vs. 40.7%, p = 0.0030). These patients were more likely to have a discharge modified Rankin Scale (mRS) score of 4-5 (35.2% vs. 30.2%, p = 0.0060) and had a higher mean discharge NIHSS score (6.1 vs. 4.9, p < 0.001). In the adjusted analysis, patients who self-paid (adjusted odds ratio (aOR) 3.8, 95%CI 1.3-11.4), were discharged to acute care facilities (aOR 5.3, 95%CI 1.5-18.4), or had a mRS of 5 (aOR 2.4, 95%CI 1.0-5.7) had significantly increased odds of LTFU. Patients with Medicare coverage (aOR 0.60, 95%CI 0.40-0.92), discharge to inpatient rehabilitation (aOR 0.54, 95%CI 0.34-0.86), family history of stroke (aOR 0.37, 95%CI 0.18-0.76) had significantly decreased odds of LTFU.
Conclusions:
In this study, we identified clinical characteristics and discharge dispositions associated with LTFU after stroke.
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