BACKGROUND: Cognitive impairment is highly prevalent in heart failure (HF), and may be associated with short-term readmission. This study investigated the role of cognition, incremental to other clinical and non-clinical factors, independent of depression and anxiety, in predicting 30-day readmission or death in HF.

METHODS: This study followed 565 patients from an Australia-wide HF longitudinal study. Cognitive function (MoCA score) together with standard clinical and non-clinical factors, mental health and 2D echocardiograms were collected before hospital discharge. The study outcomes were death and readmission within 30days of discharge. Logistic regression, Harrell's C-statistic, integrated discrimination improvement (IDI) and net reclassification index were used for analysis.

RESULTS: Among 565 patients, 255 (45%) had at least mild cognitive impairment (MoCA≤22). Death (n=43, 8%) and readmission (n=122, 21%) within 30days of discharge were more likely to occur among patients with mild cognitive impairment (OR=2.00, p=0.001). MoCA score was also negatively associated with 30-day readmission or death (OR=0.91, p<0.001) independent of other risk factors. Adding MoCA score to an existing prediction model of 30-day readmission significantly improved discrimination (C-statistic=0.715 vs. 0.617, IDI estimate 0.077, p<0.001). From prediction models developed from our study, adding MoCA score (C-statistic=0.83) provided incremental value to that of standard clinical and non-clinical factors (C-statistic=0.76) and echocardiogram parameters (C-statistic=0.81) in predicting 30-day readmission or death. Reclassification analysis suggests that addition of MoCA score improved classification for a net of 12% of patients with 30-day readmission or death and of 6% of patients without (p=0.002).

CONCLUSIONS: Mild cognitive impairment predicts short-term outcomes in HF, independent of clinical and non-clinical factors.

Item Type:	Refereed Article
Keywords:	Cognitive function, Depression, Heart failure, Mortality, Rehospitalization
Research Division:	Biomedical and Clinical Sciences
Research Group:	Cardiovascular medicine and haematology
Research Field:	Cardiology (incl. cardiovascular diseases)
Objective Division:	Health
Objective Group:	Clinical health
Objective Field:	Clinical health not elsewhere classified
UTAS Author:	Huynh, QL (Dr Quan Huynh)
UTAS Author:	Negishi, K (Dr Kazuaki Negishi)
UTAS Author:	Blizzard, L (Professor Leigh Blizzard)
UTAS Author:	Saito, M (Dr Makoto Saito)
UTAS Author:	Sanderson, K (Associate Professor Kristy Sanderson)
UTAS Author:	Venn, AJ (Professor Alison Venn)
UTAS Author:	Marwick, TH (Professor Tom Marwick)
ID Code:	110217
Year Published:	2016
Web of Science® Times Cited:	54
Deposited By:	Menzies Institute for Medical Research
Deposited On:	2016-07-20
Last Modified:	2022-08-25
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