Search

Objectives: To determine the relationship between prealbumin, nutrient intake, and indicators of inflammation for recuperative and rehabilitative care patients., Design: Prospective cohort., Setting: Recuperative Care Unit within a Veterans Administration Nursing Home Care Unit., Participants: One hundred eleven men (100 white; mean age 80, range 64-93)., Measurements: Prealbumin and seven markers of inflammation (C-reactive protein (CRP), tumor necrosis factor, and interleukin-6 (IL-6) and their soluble receptors) were measured at admission and discharge (median length of stay 23 days, interquartile range 15-40 days). Detailed calorie counts were performed daily, and intake was expressed as a percentage of estimated requirements for protein (1.5 g/kg body weight per day) and energy (Harris-Benedict equation). The study objective was examined using least-squares regression analysis., Results: Discharge prealbumin and the change in prealbumin were positively correlated with protein and energy intake and inversely correlated with markers of inflammation, particularly CRP and IL-6. When all covariates were included in a multivariable regression analysis, the markers of inflammation predominantly accounted for the variance in prealbumin change (56%), whereas discharge protein intake accounted for 6%., Conclusion: For older recuperative care patients, prealbumin and its change during hospitalization are positively associated with protein intake, but inflammation or changes in inflammation appear to exert a much more-powerful influence on prealbumin concentration. Given the potential confounding effects of inflammation, monitoring the change in prealbumin is not an adequate substitute for a more-detailed nutritional assessment in this population.

Objectives: To evaluate the prognostic significance of weight change in frail elderly patients., Design: Prospective study., Setting: The general medical or surgical wards of a university-affiliated Department of Veterans Affairs hospital., Participants: Six hundred sixty randomly selected subjects aged 65 or older., Measurements: At admission and discharge, each subject completed a standardized diagnostic evaluation, including demographic variables, and basic medical, functional, and nutritional assessments. Weights were recorded from hospital or clinic visits in the year before admission, during the current hospitalization, and after discharge for a median of 5.6 years. Average yearly intraindividual weight change was calculated using least-squares regression. Associations between intraindividual weight change and mortality were identified using Cox proportional hazards regression., Results: During the study, 314 subjects (48%) died. A U-shaped association between weight change and mortality was observed. Those who were relatively weight stable (+/-1 kg/y) had the lowest mortality (28%). Compared with this group, the adjusted relative risks (ARR) of death for those who lost 1 or more to less than 3 kg/y and 3 or more kg/y were 2.14 (95% confidence interval (CI)=1.52-3.00) and 3.59 (95% CI=2.58-4.99), respectively. The ARR associated with a weight gain of 1 or more to less than 3 kg/y and 3 or more kg/y was 1.38 (95% CI=0.91-2.10) and 3.73 (95% CI=2.34-5.94), respectively. The amount of bidirectional weight fluctuation (estimated using coefficient of variance) was not significantly associated with mortality., Conclusion: For reasons that are not clear, elderly patients who gain 3 or more kg/y after hospital discharge are at nearly the same risk of mortality as those who lose this amount of weight.