Association between Frequency Domain Heart Rate Variability and Unplanned Readmission to Hospital in Geriatric Patients

<p>Abstract</p> <p>Background</p> <p>An accurate prediction of unplanned readmission (UR) after discharge from hospital can facilitate physician's decision making processes for providing better quality of care in geriatric patients. The objective of this study was to explore the association of cardiac autonomic functions as measured by frequency domain heart rate variability (HRV) and 14-day UR in geriatric patients.</p> <p>Methods</p> <p>Patients admitted to the geriatric ward of a regional hospital in Chiayi county in Taiwan were followed prospectively from July 2006 to June 2007. Those with invasive tubes and those who were heavy smokers, heavy alcohol drinkers, on medications that might influence HRV, or previously admitted to the hospital within 30 days were excluded. Cardiac autonomic functions were evaluated by frequency domain indices of HRV. Multiple logistic regression was used to assess the association between UR and HRV indices adjusted for age and length of hospitalization.</p> <p>Results</p> <p>A total of 78 patients met the inclusion criteria and 15 of them were readmitted within 14 days after discharge. The risk of UR was significantly higher in patients with lower levels of total power (OR = 1.39; 95% CI = 1.04-2.00), low frequency power (LF) (OR = 1.22; 95% CI = 1.03-1.49), high frequency power (HF) (OR = 1.27; 95% CI = 1.02-1.64), and lower ratios of low frequency power to high frequency power (LF/HF ratio) (OR = 1.96; 95% CI = 1.07-3.84).</p> <p>Conclusion</p> <p>This is the first study to evaluate the association between frequency domain heart rate variability and the risk of UR in geriatric patients. Frequency domain heart rate variability indices measured on admission were significantly associated with increased risk of UR in geriatric patients. Additional studies are required to confirm the value and feasibility of using HRV indices on admission as a non-invasive tool to assist the prediction of UR in geriatric patients.</p

RISK FACTORS PREDICTING LATER FUNCTIONAL DECLINE IN OLDER HOSPITALIZED PATIENTS

With the demographic and epidemiological changes, an increasing number of older subjects are admitted to hospital. These patients are at increased risk of adverse health outcomes, including functional decline, increased length of stay, institutionalization, geriatric syndromes (e.g. delirium), hospital readmissions and death. Age, basic demographic data, diagnosis and comorbidities are not sufficient to estimate the risk of a further negative evolution of the frail older patient during and after hospitalization. As functional decline begins soon after admission, it is important to screen vulnerable patients early in order to plan appropriate orientation to geriatric programmes and to target interventions.This narrative review analyses which appropriate parameters, available soon after admission, may help to identify the older patients at risk of functional decline and to stratify their risk. Functional decline was defined here as loss of independence in basic care or admission in nursing home. The main risk factors identified by this analysis are functional status before or at admission, cognitive performance and social characteristics.These data may be easily and quickly collected by the nursing staff on admission, and further assessed by the geriatric liaison team, in order to optimize care management in frail older patients