Abstract
This study aimed to investigate the association between different nutritional and anthropometric parameters with the risk of hospitalizations and death within 18 months from nursing home admission. Our hypothesis was that measures of malnutrition could be more strongly associated with worse clinical outcomes than measures of overweight/obesity. This prospective study involved 144 older adults newly admitted in nursing home and followed up over 18 months. A multidimensional assessment focusing on clinical, functional and cognitive status was performed at baseline. Assessment also included body mass index (BMI), waist circumference, calf circumference, MNA Short-Form (MNA-SF), and serum albumin and lymphocytes levels. Anthropometric measurements were repeated at 6 months. Data on hospitalizations and mortality over the study period, with their respective causes, were obtained from administrative data. The associations between baseline nutritional parameters and the risk of hospitalizations or death were analyzed through multinomial logistic regressions and Cox regressions, respectively. During the follow-up, 64 individuals (44.4%) were hospitalized, and 52 (36.1%) died. Residents who reported low MNA-SF and calf circumference at nursing home admission had more than threefold-increased odds of hospitalizations compared with their healthier counterparts. Adults with low calf circumference also had the highest mortality (HR=3.39, 95%CI:1.80-6.39), while more attenuated results were observed for low serum albumin, MNA-SF, and BMI (either when considering cut-offs of excess weight or malnutrition). When assessing the associations between 0 and 6 month changes in calf circumference and mortality in the following 12 months, we found that each 1cm decrease in calf circumference increased the one-year mortality by 29% (95%CI 1.04-1.60). Malnutrition, but not overweight/obesity, seems associated with a higher risk of hospitalization and mortality after nursing home admission. Monitoring calf circumference, in particular, may help in the early detection of individuals who are potentially vulnerable to adverse health-related outcomes after institutionalization.
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