ABSTRACT
BACKGROUND: Although multidimensional frailty scales have been proven to predict mortality and morbidity in cardiac surgery, there is a need for rapid tools that could be easily administered at the point of care. Handgrip strength (HGS) is an attractive option that can be measured in acutely ill and bed-bound patients, although it has yet to be validated in a large cardiac surgery cohort. METHODS: This is a post hoc analysis of a multicentre prospective study in older patients undergoing coronary artery bypass grafting and/or valve surgery from 2011 to 2019. HGS was measured before surgery and classified by sex-stratified cutoffs. The primary outcome was 1-year mortality and secondary outcomes were 30-day mortality, discharge disposition, and prolonged length of stay. RESULTS: There were 1245 patients included in the analysis (mean age 74.0 ± 6.6 years; 30% female). Weak HGS was associated with advanced age, heart failure, kidney disease, malnutrition, and various frailty scales. In those with weak vs normal HGS, respectively, 1-year mortality was 17% vs 6%, 30-day mortality was 10% vs 3%, prolonged length of stay was 34% vs 19%, and discharge to a health care facility was 45% vs 26% (all P < 0.001). After adjustment, HGS was predictive of 1-year and 30-day mortalities, with odds ratios of 2.44 (95% confidence interval [CI] 1.39-4.29) and 2.83 (1.38-5.81), respectively. HGS cutoffs of < 26 kg in men and < 16 kg in women had the highest predictive performance. CONCLUSIONS: HGS is a simple and effective tool to identify patients at higher risk of mortality and protracted recovery after cardiac surgery.
Subject(s)
Cardiac Surgical Procedures , Frailty/physiopathology , Hand Strength/physiology , Heart Diseases/surgery , Risk Assessment/methods , Aged , Canada/epidemiology , Female , Follow-Up Studies , Frailty/complications , Frailty/epidemiology , Heart Diseases/complications , Humans , Male , Middle Aged , Morbidity/trends , Postoperative Period , Prognosis , Prospective Studies , Survival Rate/trends , United States/epidemiologyABSTRACT
Sleep is a basic biological process supporting emotion regulation. The emotion regulation function of sleep may be particularly important in the context of chronic stress. To better understand how chronic stress and sleep interact to predict mood, 66 parents of children with autism completed daily diaries assessing parenting stress, negative mood, and sleep quality for 6 consecutive days. Hierarchical linear modelling revealed that daily negative mood was predicted by between-person differences in parenting stress and between-person differences in sleep efficiency. Further, between-person differences in sleep efficiency and within-person differences in sleep satisfaction moderated the impact of stress on mood. These data suggest that sleep disturbances may exacerbate the association between stress and mood in the context of chronic parenting stress. Further, high parenting stress appears to heighten the impact of transient sleep disturbances on mood.
