The Utility of Predicting Hospitalizations Among Patients With Heart Failure Using mHealth: Observational Study

Background

Heart failure decompensation is a major driver of hospitalizations and represents a significant burden to the health care system. Identifying those at greatest risk of admission can allow for targeted interventions to reduce this risk.

Objective

This paper aims to compare the predictive value of objective and subjective heart failure respiratory symptoms on imminent heart failure decompensation and subsequent hospitalization within a 30-day period.

Methods

A prospective observational pilot study was conducted. People living at home with heart failure were recruited from a single-center heart failure outpatient clinic. Objective (blood pressure, heart rate, weight, B-type natriuretic peptide) and subjective (4 heart failure respiratory symptoms scored for severity on a 5-point Likert scale) data were collected twice weekly for a 30-day period.

Results

A total of 29 participants (median age 79 years; 18/29, 62% men) completed the study. During the study period, 10 of the 29 participants (34%) were hospitalized as a result of heart failure. For objective data, only heart rate exhibited a between-group difference. However, it was nonsignificant for variability (P=.71). Subjective symptom scores provided better prediction. Specifically, the highest precision of heart failure hospitalization was observed when patients with heart failure experienced severe dyspnea, orthopnea, and bendopnea on any given day (area under the curve of 0.77; sensitivity of 83%; specificity of 73%).

Conclusions

The use of subjective respiratory symptom reporting on a 5-point Likert scale may facilitate a simple and low-cost method of predicting heart failure decompensation and imminent hospitalization. Serial collection of symptom data could be augmented using ecological momentary assessment of self-reported symptoms within a mobile health monitoring strategy for patients at high risk for heart failure decompensation.

Awareness of Familial Hypercholesterolemia Among Healthcare Providers Involved in the Management of Acute Coronary Syndrome in Victoria, Australia

Background

Familial hypercholesterolemia (FH) is a common underdiagnosed autosomal dominant lipid disorder carrying a significant risk of premature coronary artery disease. The aim of this study was to evaluate the awareness and knowledge of heterozygous FH of healthcare providers in coronary care units (CCUs).

Methods

Medical staff working in CCUs in 4 sizable metropolitan health networks in Melbourne, Australia, were requested to complete a structured anonymised questionnaire with regard to FH. The results were tabulated and analysed with the Statistical Package for the Social Sciences version 23 (IBM, New York, NY).

Results

A total of 121 participants (67% response rate) completed the survey. Some 76% claimed to be at least modestly familiar with FH, and more than half of them adequately described FH; however, only 16% and 43%, respectively, were aware of the prevalence of FH and existence of lipid guidelines. In regard to epidemiological knowledge and update in the management of FH in CCUs, knowledge was suboptimal. In regard to FH care, General Practitioners were rated by 72% of participants as the first most efficient healthcare provider in the management of FH, and cardiologists were rated by 54% of participants as the second most efficient healthcare provider in the management of FH. Some 36% of respondents advocated a form of alert system in laboratory reports to facilitate the diagnosis of FH.

Conclusions

This survey identified substantial gaps in the knowledge and awareness of FH among healthcare providers involved in the management of acute coronary syndrome. Focused education and clinical training are warranted to raise awareness of FH among healthcare providers working in CCUs.