[The bacteriological profile of bacteriuria in residents of a long-term geriatric facility].

BACKGROUND: Little is known on the bacteriological profile of consecutive urine samples in elderly patients institutionalized in nursing homes. AIM: This retrospective study aims to characterize urinary pathogens, rates of isolation of the same pathogen in subsequent urine samples and predicting factors associated with such repeated isolations. Data were retrospectively retrieved from medical charts of nursing home patients during a four-year period. The authors looked for changes in rates of positive cultures, changes in urine flora, in rates of repeated isolation of the same pathogens and the possible interrelations with the use of antibiotics. METHODS: A total number of 3229 urine cultures were studied, 1311 of which (43%) were positive and 493 out of these positive cultures (37.6%) were treated with antibiotics. The rates of positive cultures increased consistently during the study period (p=0.003). E. coli (68.1%), Klebsiella pneumoniae and Proteus mirabilis accounted for more than 90% of positive cultures. RESULTS: There was no difference with regard to pathogen types isolated from symptomatic or asymptomatic cases. The rates of recurrent bacteriuria, by the same pathogen isolated at baseline urine culture, were similar in treated and untreated cases. A regression analysis aiming to predict factors associated with subsequent positive cultures had negative results, except for cases of untreated bacteriuria with pseudomonas (CI 1.36-7.09, O.R. 3.11, p=0.006). CONCLUSION: Our data support earlier studies underscoring the need to carefully consider the role of antibiotics and for better clinical guidelines for the treatment of bacteriuria in this population.

Body mass index (BMI), body composition and mortality of nursing home elderly residents.

The body mass index (BMI) is a key marker of nutritional status among older patients, but does not reflect changes in body composition, The aim of the present study was to investigate BMI levels and body composition in a sample of disabled nursing home residents, and to study possible interrelations between BMI, fat-free body mass (FFM), body fat mass (BFM), skeletal muscle mass (SMM) and 1-year mortality rates. FFM and SMM were assessed by 24-h urine creatinine excretion and BFM as the difference between BMI and FFM. We calculated relative risk (RR) and odds ratio (OR) of 1-year mortality, associated with different levels of BMI, FFM index (where index=value/height(2)), SMM index and BFM index in 82 disabled institutionalized elderly patients. One-year mortality rate was 29.3%. Adjusted relative risk of mortality of low BMI patients was 1.45 (95% CI=0.73-2.89; OR=1.73) and 0.63 (95% CI=0.33-1.60; OR=0.72) in high BMI. Risk of mortality was higher in those having low FMM index or SMM index (RR=2.42, 95% CI=0.36-16.18; OR=2.55 and RR=3.22, 95% CI=0.78-13.32; OR=3.67, respectively). It is concluded that low FFM and SMM indexes among disabled nursing home residents are far better predictors than BMI for 1-year mortality estimation.