Etiological Role of Diet in 30-Day Readmissions for Heart Failure: Implications for Reducing Heart Failure-Associated Costs via Culinary Medicine.
Alexander C RazaviDominique J MonlezunAlexander SapinLeah SarrisEmily SchlagAmber DyerTimothy HarlanPublished in: American journal of lifestyle medicine (2019)
Background. Reducing the under-30-day readmission for heart failure (HF) patients is a modifiable quality-of-care measure, yet the role of diet in HF readmissions and cost-effective HF care remain ill-defined. Methods. Medical chart review was conducted to determine cause(s) for HF treatment failure. Randomized controlled trial-backed machine learning models were employed to assess the relationship of culinary medicine education with HF 30-day readmission rate and cost. Results. Of 1031 HF admissions, 130 occurred within 30 days of discharge (12.61%.) Nearly two-thirds of individuals were male (64.02%), while the mean age and median length of stay were 64.33 ± 14.02 and 2, respectively. Medication noncompliance (34.62%) was the most common etiology for 30-day readmissions, followed by dietary noncompliance (16.92%), comorbidity (16.92%), a combination of dietary and medication noncompliance (10%), HF exacerbation (10%), iatrogenic (10%), and drug abuse (1.54%). Medication noncompliance contributed to the highest gross charge by readmission, costing a total of $1 802 096. Compared with traditional care, culinary medicine education for HF patients would prevent 93 HF readmissions and save $3.9 million in an estimated 4-year period. Conclusion. Though pharmacological treatment remains a focal point of HF management, diet-based approaches may improve tertiary HF prevention and reduce HF-associated health care expenditures.
Keyphrases
- acute heart failure
- healthcare
- heart failure
- randomized controlled trial
- machine learning
- quality improvement
- end stage renal disease
- palliative care
- chronic kidney disease
- weight loss
- chronic obstructive pulmonary disease
- prognostic factors
- left ventricular
- clinical trial
- social media
- systematic review
- intensive care unit
- patient reported outcomes
- drug induced
- replacement therapy
- deep learning
- smoking cessation