Radisson Hotel Narita
286-0221 Chiba Tomisato- shi Nakaei
650-35 Tokyo, Japan
Phone : 1 (702) 988 2320
Toll Free: 1800–883-8082
Email: cardiology@magnusmeetings.com
October 24-25, 2019 | Tokyo, Japan

Polly Wai Chi Li

Oral Speaker at Cardiology Conference 2019- Polly Wai Chi Li
Polly Wai Chi Li
The Chinese University of Hong Kong, Hong Kong
Title : Predictors of sleep disturbance in patients with heart failure


Heart failure is the common final pathway for various cardiac diseases. Despite advances in treatment, the prognosis remains poor with high readmission rates and mortality. Symptomatology has identified as prognostic in nature among heart failure patients. Within the symptom profile, sleep disturbance has received the least attention despite its high prevalence among this vulnerable cohort.
Aim: The purpose of this study was to examine the sleep pattern and quality in heart failure patients, and to identify predictors of sleep disturbance in these patients.
Methods: Chinese community-dwelling adults (N = 80) with a confirmed diagnosis of heart failure were recruited in the cardiac clinics of two regional hospitals in Hong Kong. Various socio-demographic and clinical characteristics, physical and psychological variables were measured and considered as potential predictors. The sleep pattern and quality were assessed by subjective and objective means with validated study instruments and actigraphy. Descriptive statistics were used to summarize the sleep pattern and quality, while multivariate analysis was conducted to identify the independent predictors of poor sleep in patients with heart failure.
Results: In general, participants reported poor sleep pattern and quality with subjective and objective measurements. The mean Pittsburgh Sleep Quality Index score (PSQI) score as 10.5 (SD = 4.02) and up to two-third (68%) of the participants had the PSQI score >5, defined as poor sleepers. The actigraphy results indicated that the sleep efficiency was 72% (SD = 10.03). Symptom burden and dysfunctional sleep-related cognition were the most significant predictors of poor sleep. Older patients and those with more comorbidities also negatively influence their sleep pattern and quality. The final model accounted for 46.8% of the variance in poor sleep quality.
Conclusion: Sleep disturbance is prevalent among heart failure patients. The most prominent predictors are symptom burden and dysfunctional sleep-related cognition, which are modifiable. Although age and the comorbidities are non-modifiable in nature, the findings inform the high-risk individuals for sleep promoting interventions.

Audience take away: 

•    The audience will understand the sleep patterns and quality in heart failure patients.
•    The audience will understand the predictors of sleep disturbance in heart failure patients, which can guide their clinical practice.
•    In terms of research, this study will inform the audience on the design of future sleep promoting interventions.


Dr Polly Li is an assistant professor of the Nethersole School of Nursing, the Chinese University of Hong Kong. Her research interests include supportive cardiovascular care, gerontology and long-term care, particularly focusing on improving self-care among adults with chronic cardiac and respiratory diseases, including heart failure, atrial fibrillation, coronary artery disease and pneumoconiosis. Moreover, she also strives to promote brain health in persons with mild cognitive impairment, appropriate care-seeking behaviors in patients with acute myocardial infarction. Dr Li has successfully obtained several research grants from various funding agencies and publish her research work in international refereed journals.