| dc.contributor.author |
Gamaletsou, MN |
en |
| dc.contributor.author |
Poulia, K-A |
en |
| dc.contributor.author |
Karageorgou, D |
en |
| dc.contributor.author |
Yannakoulia, M |
en |
| dc.contributor.author |
Ziakas, PD |
en |
| dc.contributor.author |
Zampelas, A |
en |
| dc.contributor.author |
Sipsas, NV |
en |
| dc.date.accessioned |
2014-06-06T06:51:57Z |
|
| dc.date.available |
2014-06-06T06:51:57Z |
|
| dc.date.issued |
2012 |
en |
| dc.identifier.issn |
01956701 |
en |
| dc.identifier.uri |
http://dx.doi.org/10.1016/j.jhin.2011.08.020 |
en |
| dc.identifier.uri |
http://62.217.125.90/xmlui/handle/123456789/5783 |
|
| dc.subject |
Elderly |
en |
| dc.subject |
Healthcare-associated infection |
en |
| dc.subject |
Malnutrition |
en |
| dc.subject.other |
Acinetobacter baumannii |
en |
| dc.subject.other |
adult |
en |
| dc.subject.other |
aged |
en |
| dc.subject.other |
anthropometry |
en |
| dc.subject.other |
article |
en |
| dc.subject.other |
bloodstream infection |
en |
| dc.subject.other |
catheter infection |
en |
| dc.subject.other |
clinical assessment |
en |
| dc.subject.other |
clinical assessment tool |
en |
| dc.subject.other |
diabetes mellitus |
en |
| dc.subject.other |
emergency care |
en |
| dc.subject.other |
Enterococcus faecalis |
en |
| dc.subject.other |
Escherichia coli |
en |
| dc.subject.other |
female |
en |
| dc.subject.other |
gastrointestinal infection |
en |
| dc.subject.other |
geriatric nutritional risk index |
en |
| dc.subject.other |
hospital admission |
en |
| dc.subject.other |
hospital infection |
en |
| dc.subject.other |
hospital patient |
en |
| dc.subject.other |
hospitalization |
en |
| dc.subject.other |
human |
en |
| dc.subject.other |
length of stay |
en |
| dc.subject.other |
major clinical study |
en |
| dc.subject.other |
male |
en |
| dc.subject.other |
mortality |
en |
| dc.subject.other |
nonhuman |
en |
| dc.subject.other |
nutritional status |
en |
| dc.subject.other |
performance measurement system |
en |
| dc.subject.other |
predictor variable |
en |
| dc.subject.other |
Proteus mirabilis |
en |
| dc.subject.other |
Pseudomonas aeruginosa |
en |
| dc.subject.other |
respiratory tract infection |
en |
| dc.subject.other |
skin infection |
en |
| dc.subject.other |
Staphylococcus aureus |
en |
| dc.subject.other |
urinary tract infection |
en |
| dc.subject.other |
Acute Disease |
en |
| dc.subject.other |
Aged |
en |
| dc.subject.other |
Aged, 80 and over |
en |
| dc.subject.other |
Cross Infection |
en |
| dc.subject.other |
Female |
en |
| dc.subject.other |
Humans |
en |
| dc.subject.other |
Intensive Care |
en |
| dc.subject.other |
Male |
en |
| dc.subject.other |
Nutrition Assessment |
en |
| dc.subject.other |
Nutritional Status |
en |
| dc.subject.other |
Risk Assessment |
en |
| dc.title |
Nutritional risk as predictor for healthcare-associated infection among hospitalized elderly patients in the acute care setting |
en |
| heal.type |
journalArticle |
en |
| heal.identifier.primary |
10.1016/j.jhin.2011.08.020 |
en |
| heal.publicationDate |
2012 |
en |
| heal.abstract |
Background: Poor nutritional status is associated with high rates of healthcare-associated infections (HCAIs) among hospitalized elderly patients. Early recognition of patients at risk for HCAIs is important. The Geriatric Nutritional Risk Index (GNRI) is a screening tool able to predict nutrition-related complications. Aim: To examine the use of GNRI as a predictor of HCAIs in the acute care setting. Methods: A total of 248 consecutive patients aged >65 years, admitted as emergencies to the medical ward of an acute care hospital, were enrolled. On admission, clinical and laboratory assessment, anthropometric measurements, performance status, and GNRI score estimation were performed. HCAIs were recorded during admission. Findings: On admission, 53.8% of the patients were not at risk, 37.2% at low or medium risk and 8.9% at high risk for nutrition-related complications, as stratified by using the GNRI. During hospitalization 23.7% of the patients developed HCAIs. Patients with HCAIs had higher mortality (P < 0.001) and longer hospital stay (P < 0.001). In multivariate analysis, a performance status >1 [hazard ratio (HR): 2.08; 95% confidence interval (CI): 1.07-4.02; P= 0.03] and diabetes (HR: 2.57; 95% CI: 1.37-4.84; P = 0.003) were associated with increased risk for HCAIs, whereas GNRI score (per unit increase) had a protective effect (HR:0.97; 95% CI: 0.95-0.99; P = 0.01). Well-nourished patients (GNRI>98) were significantly more likely to remain free from HCAIs during hospitalization (P=0.003). Conclusion: GNRI can accurately stratify hospitalized elderly patients according to risk for developing HCAIs. © 2011 The Healthcare Infection Society. |
en |
| heal.journalName |
Journal of Hospital Infection |
en |
| dc.identifier.issue |
2 |
en |
| dc.identifier.volume |
80 |
en |
| dc.identifier.doi |
10.1016/j.jhin.2011.08.020 |
en |
| dc.identifier.spage |
168 |
en |
| dc.identifier.epage |
172 |
en |