Nutrient intake, peripheral edema, and weight change in elderly recuperative care patients.

BACKGROUND: It is unclear whether serial measures of body weight are valid indicators of nutritional status in older patients recovering from illness. Objectives. Investigate the relative influence of nutrient intake and changes in peripheral edema on weight change. METHODS: A prospective cohort study of 404 older men (mean age = 78.7±7.5 years) admitted to a transitional care unit of a Department of Veterans Affairs nursing home. Body weight and several indicators of lower extremity edema were measured at both unit admission and discharge. Complete nutrient intake assessments were performed daily. RESULTS: Over a median length of stay of 23 days (interquartile range: 15-41 days), 216 (53%) participants gained or lost more than or equal to 2.5% of their body weight. Two hundred eighty-two (70%) participants had recognizable lower extremity pitting edema at admission and/or discharge. The amount of weight change was strongly and positively correlated with multiple indicators of both nutrient intake and the change in the amount of peripheral edema. By multivariable analysis, the strongest predictor of weight change was maximal calf circumference change (partial R (2) = .35, p < .0001), followed by average daily energy intake (partial R (2) = .14, p < .0001), and the interaction of energy intake by time (partial R (2) = .02, p < .0001). CONCLUSIONS: Many older patients either gain or lose a significant amount of weight after admission to a transitional care unit. Because of the apparent high prevalence of co-occurring changes in total body water, the weight changes do not necessarily represent changes in nutritional status. Although repeat calf circumference measurements may provide some indication as to how much of the weight change is due to changes in body water, there is currently no viable alternative to monitoring the nutrient intake of older recuperative care patients in order to ensure that their nutrient needs are being met.

Changes in activities of daily living, nutrient intake, and systemic inflammation in elderly adults receiving recuperative care.

OBJECTIVES: To determine the relationships between physical function, systemic inflammation, and nutrient intake in elderly adults who are deconditioned or recovering from medical illness. DESIGN: Prospective observational study. SETTING: Recuperative care and rehabilitation setting of a Veterans Affairs hospital. PARTICIPANTS: Older adults assessed to be in need of and likely to benefit from specialized inpatient care (N = 336, aged 78.9 ± 7.5, median length of stay 24 days). MEASUREMENTS: Functional assessments and plasma analyses for albumins and inflammatory markers were performed at admission and discharge. Complete nutrient intake assessments were performed daily. Katz (independence in activities of daily living) and walking endurance (distance capability and summation of need for assistive device and human help) scores were based on direct observation and provider query. Data were analyzed using least-squares and logistic regression analyses. RESULTS: Changes in physical function between admission and discharge were positively correlated with change in nutrient intake and inversely correlated with inflammation at admission and its change. Participants in the upper quartile of change for nutrient intake (particularly improved protein intake) were two to three times as likely to experience a clinically significant change in functional status during the hospitalization. Similarly, the odds of experiencing an improvement in physical function were two to four times as great for participants whose C-reactive protein levels declined as for those whose levels increased. These relationships remained significant after controlling for age, length of stay, and other baseline indicators of health status. CONCLUSION: Protein intake and inflammation are significantly correlated with functional recovery for aging individuals undergoing recuperative care and rehabilitation. Future studies should investigate whether combined interventions that target these factors improve recovery during hospitalization for this population.

Changes in prealbumin, nutrient intake, and systemic inflammation in elderly recuperative care patients.

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.

Association between inflammation-associated cytokines, serum albumins, and mortality in the elderly.

OBJECTIVE: To investigate the association between serum albumin, prealbumin, various serum inflammation associated-cytokines, and mortality in older geriatric recuperative care patients. DESIGN: A prospective cohort study. SETTING: A geriatric rehabilitation unit of a university-affiliated Department of Veterans Affairs hospital. PARTICIPANTS: Participants were 53 geriatric patients (mean age 78 +/- 7.3, 96% male) admitted to a Geriatric Evaluation and Management (GEM) unit. Patients with documented near-terminal medical disorder, overt infections, and any systemic or localized inflammatory disorders were excluded. MEASUREMENTS: Inflammation-associated cytokines (IL-8, IL-1beta, IL-6, IL-10, TNF-alpha), albumin, prealbumin, and C-reactive protein were measured at hospital discharge and each subject was then tracked for 1 year. MAIN RESULTS: By Cox Proportional-Hazards Regression analysis, the strongest predictor of mortality within 6 months of study entry was the serum IL-6. For each log increase in IL-6, there was nearly a 9-fold greater 6-month mortality risk (RR 8.99, 95% CI 1.65 to 49.03). The association between albumin and mortality was no longer significant after controlling for IL-6. There was a strong inverse correlation between IL-6 and both albumin (R2 0.39, P < .001) and prealbumin (R2 0.41, P < .001). CONCLUSION: Subclinical inflammation appears to be an important factor contributing to low serum albumins in older recuperative care patients and may confound the association between albumin and mortality in this population. More in-depth studies of these associations are warranted.

Effects of muscle strength training and testosterone in frail elderly males.

PURPOSE: Determine the independent and combined effects of progressive resistance muscle strength training (PRMST) and testosterone on strength, muscle mass, and function in hypogonadal elderly male recuperative care patients. METHODS: Between 1999 and 2004, 71 subjects (mean age 78.2 +/- 6.4 yr, 86% white) were enrolled. After baseline one-repetition maximum (1RM) strength testing and then randomization to one of four treatment groups (low-resistance (20% of the 1RM) exercises and weekly injections of either 100 mg of testosterone enanthate or placebo or high-intensity PRMST (> or =80% 1RM) and weekly injections), each subject received training and injections for 12 wk. RESULTS: Ten subjects withdrew from the study before its completion. Based on intent-to-treat analyses, strength improved in all groups, but was greater with high-intensity PRMST compared with low-resistance exercise (e.g., leg press, (mean +/- SE), 28 +/- 4 vs 13 +/- 4%, P = 0.009). Although testosterone led to significantly greater increases in midthigh cross-sectional muscle area compared with placebo (7.9 +/- 1.3 vs 2.4 +/- 1.4%, P = 0.005), it produced only a nonsignificant trend toward greater strength gains (e.g., leg press 25 +/- 4 vs 16 +/- 4%, P = 0.144). Change in aggregate functional performance score (the sum of 4 functional performance test scores) did not differ between the four intervention groups nor with high-intensity PRMST compared with low-resistance exercise (7 +/- 5 vs 15 +/- 5%, P = 0.263). There was not a significant interaction between exercise and testosterone for any outcome. CONCLUSION: High-intensity PRMST is as safe and well tolerated as a similarly structured low-resistance exercise regimen for very frail elderly patients, but produces greater muscle strength improvements. The addition of testosterone leads to greater muscle size and a trend toward greater strength but did not produce a synergistic interaction with exercise. Neither intervention had a significant effect on functional performance.

Prognostic significance of monthly weight fluctuations among older nursing home residents.

BACKGROUND: Although weight change in older persons has proven prognostic significance, it is not known whether monthly weights obtained by the clinical staff in long-term care institutions are reliable enough to be useful in identifying at-risk residents. The objective of this study was to determine whether an association exists between mortality risk and the intraresident variation in weight in long-term care institutions. METHODS: For this study, 900 nursing home residents with a recently identified nutritional problem from 96 long-term care facilities in 8 states were randomly selected. At study entry, nutritional, health status, and demographic data were extracted from the nursing home chart or the Minimum Data Set. Weights obtained by the nursing home staff were recorded at baseline and during each of the subsequent 6 months. Cox proportional hazards regression analysis was used to assess relationships between weight parameters and mortality risk during the 7 months of observation. RESULTS: During the study, 435 (48%) participants had at least 1 monthly weight that differed from the previous month's weight by > or =5%; 163 (18%) participants had this magnitude of a 1-month weight change more than once. By controlling for the linear trend (i.e., slope) of each residents' weight change between the first to the last weight, the average month-to-month residual variability in the resident's weights was calculated. This residual variability or "average random fluctuation" in weight from 1 month to the next was > or =2% in 229 (25%) participants and > or =3% in 82 (9%) participants. Despite the large random fluctuation in the residents' weights, weight loss was an important prognostic indicator. Those who lost > or =5% in any month had a 10-fold increased risk for death compared with those who gained weight (adjusted relative risk, 10.6; 95% confidence interval, 3.2 to 35.5). The average random fluctuation in weight was associated with an increased risk for death only at the upper 10th percentile for the population. CONCLUSIONS: Many nutritionally compromised elderly nursing home residents experience significant bidirectional fluctuations in their weight from month to month. How much of this variability is due to measurement error is not known. However, a weight loss of > or =5% in any month has important prognostic implications.