TY - JOUR PY - 2022// TI - Frequency and predictors of falls among adults with heart failure: a prospective study JO - Journal of cardiac failure A1 - Denfeld, Quin E. A1 - Goodlin, Sarah A1 - Abedalweli, Rand A1 - Davis, Mary Roberts A1 - Hiatt, Shirin O. A1 - Lee, Christopher S. A1 - Winters-Stone, Kerri SP - ePub EP - ePub VL - ePub IS - ePub N2 - INTRODUCTION: Adults with heart failure (HF) may be at high risk for falling due to age, comorbidities, and frailty; however, few studies have examined falls in HF. The purpose of this study was to quantify the frequency and predictors of falls over one year among adults with HF.

METHODS: We conducted a prospective study of adults with New York Heart Association (NYHA) Functional Class I-IV HF. After baseline assessment of physical frailty and clinical characteristics, participants self-reported falls every three months over one year. Comparative statistics were used to identify baseline differences between those who fell vs. those who did not. A stepwise negative binomial regression model was used to identify predictors of fall rate over one year.

RESULTS: The sample (n = 111) was 63.4±15.7 years old, 48% women, 28% had HF with preserved ejection fraction, and 41% were frail. Over one year, 43 (39%) of participants reported at least 1 fall and 28 (25%) of participants reported 2+ falls. Among those who fell, 29 (67%) reported injurious falls. Those who fell had significantly higher body mass index and more likely to have NYHA Class III/IV, type 2 diabetes, HF with preserved ejection fraction, and meet slowness and physical exhaustion criteria than those who did not. Fall rate was elevated among those with type 2 diabetes and those meeting the slowness and physical exhaustion criteria for physical frailty.

CONCLUSIONS: Nearly 40% adults with HF experienced a fall within one year. Screening for comorbidities, slowness, and exhaustion may help identify those at risk for a fall.

Language: en

LA - en SN - 1071-9164 UR - http://dx.doi.org/10.1016/j.cardfail.2022.09.011 ID - ref1 ER -