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Published on: July 12, 2024
Cognitive Domains and Postdischarge Outcomes in Hospitalized Patients With Heart Failure
Quan L Huynh1, Kazuaki Negishi2, Carmine G De Pasquale3
1Baker Heart and Diabetes Research Institute, Melbourne, Australia (Q.L.H., J.L.H., T.H.M.).
Insights
Heart failure patients with normal cognition can be identified using simple clinical factors, reducing the need for extensive screening. Simplified cognitive assessments can predict outcomes and identify high-risk patients for disease management plans.
Area of Science:
- Cardiology
- Neurology
- Geriatrics
Background:
- Cognitive impairment is a significant predictor of hospital readmission in heart failure (HF).
- Current cognitive screening methods for HF patients are time-consuming.
- Identifying at-risk patients efficiently is crucial for effective HF management.
Purpose of the Study:
- To identify heart failure patients at low risk for cognitive impairment to obviate extensive screening.
- To simplify predictive models for HF outcomes using the most predictive cognitive domains.
Main Methods:
- 1152 Australian heart failure patients underwent the Montreal Cognitive Assessment.
- Patients were followed for 12 months, with outcomes including readmission, death, and days alive out of hospital.
- Predictive models were developed using clinical, sociodemographic, and cognitive data.
Main Results:
- Cognitive impairment was present in 54% of HF patients and independently predicted outcomes.
- A predictive model using clinical and sociodemographic factors accurately identified patients with normal cognition (C statistic=0.74).
- Visuospatial/executive and orientation domains were most predictive; simplified assessments showed similar predictive value to the full Montreal Cognitive Assessment.
Conclusions:
- Cognitive function is an independent predictor of heart failure outcomes and response to interventions.
- Screening for cognitive impairment in HF can be optimized by identifying low-risk patients and using simplified, domain-specific assessments.
- This approach can minimize resource use while effectively stratifying HF patients for risk and management.
Abstract:
Background Cognitive impairment is a prevalent, independent marker of readmission in heart failure (HF), but the screening is time-consuming. This study sought (1) to identify HF patients at low risk of cognitive impairment (obviating screening) and (2) to simplify a predictive model of HF outcomes by only using cognitive domains that are most predictive. Methods and Results The Montreal Cognitive Assessment was performed in 1152 Australian patients with HF who were followed for 12 months. One-third (376/1152) of the patients were enrolled into an HF disease management plan to reduce early readmission. Postdischarge outcomes in HF included 30- and 90-day readmission or death and days alive and out of hospital within 12 months of discharge. Cognitive impairment-present in 54% of patients-independently predicted HF outcomes. Normal cognition could be predicted with common clinical and sociodemographic factors with good discrimination (C statistic=0.74 [0.69-0.78]). The visuospatial/executive and orientation domains were most predictive of HF postdischarge outcomes. Using either Montreal Cognitive Assessment score or these 2 domains provided similar incremental values ( P=0.0004 and P=0.0008, respectively) in predicting HF outcomes (both C statistic=0.76) and could similarly identify a group of high-risk patients who benefited most from an HF disease management plan. Conclusions Cognitive function independently predicts HF outcomes and may also contribute to how a patient responds to intervention. The time and resources spent on cognitive assessment for risk-stratification in HF may be minimized by (1) identifying patients with low risk of cognitive impairment and (2) simplifying the screening instrument to include only the domains that are most predictive of postdischarge outcomes in HF.
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