Literature DB >> 22717003

Length of stay in surgical patients: nutritional predictive parameters revisited.

Ana Isabel Almeida1, Marta Correia, Maria Camilo, Paula Ravasco.   

Abstract

Nutritional evaluation may predict clinical outcomes, such as hospital length of stay (LOS). We aimed to assess the value of nutritional risk and status methods, and to test standard anthropometry percentiles v. the 50th percentile threshold in predicting LOS, and to determine nutritional status changes during hospitalisation and their relation with LOS. In this longitudinal prospective study, 298 surgical patients were evaluated at admission and discharge. At admission, nutritional risk was assessed by Nutritional Risk Screening-2002 (NRS-2002), Malnutrition Universal Screening Tool (MUST) and nutritional status by Subjective Global Assessment (SGA), involuntary % weight loss in the previous 6 months and anthropometric parameters; % weight loss and anthropometry were reassessed at discharge. At admission, risk/undernutrition results by NRS-2002 (P< 0.001), MUST (P< 0.001), % weight loss (P< 0.001) and SGA (P< 0.001) were predictive of longer LOS. A mid-arm circumference (MAC) or a mid-arm muscle circumference (MAMA) under the 15th and the 50th percentile, which was considered indicative of undernutrition, did predict longer LOS (P< 0.001); conversely, there was no association between depleted triceps skinfold (TSF) and longer LOS. In-hospital, there was a high prevalence of weight, muscle and fat losses, associated with longer LOS. At discharge, patients with a simultaneous negative variation in TSF+MAC+MAMA (n 158, 53 %) had longer LOS than patients with a TSF+MAC+MAMA positive variation (11 (8-15) v. 8 (7-12) d, P< 0.001). We concluded that at risk or undernutrition evaluated by all methods, except TSF and BMI, predicted a longer LOS. Moreover, MAC and MAMA measurements and their classification according to the 50th percentile threshold seem reliable undernutrition indicators.

Entities:  

Mesh:

Year:  2012        PMID: 22717003     DOI: 10.1017/S0007114512001134

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  6 in total

1.  A tailored automated nutrition screening tool for rapid identification of risk in acute-care hospital settings.

Authors:  S Hershkovich; A H Stark; C S Levi; D Weiner; O Gur; G S Rozen
Journal:  Eur J Clin Nutr       Date:  2016-08-10       Impact factor: 4.016

2.  Patient-Generated Subjective Global Assessment (PG-SGA) predicts length of hospital stay in lung adenocarcinoma patients.

Authors:  Jilu Lang; Yanan Shao; Jiehao Liao; Jia Chen; Xuewen Zhou; Rong Deng; Wei-Jan Wang; Xian Sun
Journal:  Br J Nutr       Date:  2021-09-10       Impact factor: 4.125

3.  Nutritional status and nosocomial infections among adult elective surgery patients in a Mexican tertiary care hospital.

Authors:  Judith Rodríguez-García; Astrid Gamiño-Iriarte; Edel Rafael Rodea-Montero
Journal:  PLoS One       Date:  2015-03-24       Impact factor: 3.240

4.  Is Cancer Cachexia Attributed to Impairments in Basal or Postprandial Muscle Protein Metabolism?

Authors:  Astrid M H Horstman; Steven W Olde Damink; Annemie M W J Schols; Luc J C van Loon
Journal:  Nutrients       Date:  2016-08-16       Impact factor: 5.717

5.  Predicting length of stay from an electronic patient record system: a primary total knee replacement example.

Authors:  Evelene M Carter; Henry W W Potts
Journal:  BMC Med Inform Decis Mak       Date:  2014-04-04       Impact factor: 2.796

6.  Evaluation of the efficacy of nutritional screening tools to predict malnutrition in the elderly at a geriatric care hospital.

Authors:  Myoung-Ha Baek; Young-Ran Heo
Journal:  Nutr Res Pract       Date:  2015-11-11       Impact factor: 1.926

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.