title: The effects of implementing a nutritional support algorithm in critically ill medical patients.
abstract: OBJECTIVE
  To determine the effect of the enteral nutrition algorithm on nutritional support in critically ill medical patients.
  
  
  METHODS
  The quasi-experimental study was conducted at a medical Intensive Care Unit of a university hospital in central Anatolia region in Turkey from June to December 2008. The patients were divided into two equal groups: the historical group was fed in routine clinical applications, while the study group was fed according to the enteral nutritional algorithm. Prior to collecting data, nurses were trained interactively about enteral nutrition and the nutritional support algorithm. The nutrition of the study group was directed by the nurses. Data were recorded during 3 days of care. SPSS 22 was used for statistical analysis.
  
  
  RESULTS
  The 40 patients in the study were divided into two equal groups of 20(50%) each. The energy intake of study group was 62% of the prescribed energy requirement on the 1st, 68.5% on the 2nd and 63% on the 3rd day, whereas in the historical group 38%, 56.5% and 60% of the prescribed energy requirement were met. The consumed energy of the historical group on the 1st 2nd and 3rd day was significantly different (p=0.020). In the study group, serum total protein and albumin levels decreased significantly (p<0.05), but pre-albumin and fasting blood glucose levels were not changed on the 1st and 4th day. In the historical group, any of the serum parameters did not change. Enteral nutrition-induced complications, duration of stay in intensive care unit were not significantly different between the groups (p>0.05).
  
  
  CONCLUSIONS
  The use of standard algorithms for enteral nutrition may be an effective way to meet the nutritional requirements of patients.
authors.affiliation: Department of Nursing, Nuh Naci Yazgan University, Faculty of Health Sciences, Erkilet, Kayseri, Turkey.
authors.forename: Gonul
authors.initials: G
authors.lastname: Sungur
authors.affiliation: Department of Nutrition and Dietetics, Faculty of Health Sciences, Kayseri, Turkey.
authors.forename: Habibe
authors.initials: H
authors.lastname: Sahin
authors.affiliation: Department of Nursing, Erciyes University, Faculty of Health Sciences, Kayseri, Turkey.
authors.forename: Sultan
authors.initials: S
authors.lastname: Tasci
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D001786:Blood Glucose; D016638:Critical Illness / Q000628:therapy*; D004044:Dietary Proteins; D002149:Energy Intake; D004734:Energy Metabolism; D004750:Enteral Nutrition / Q000379:methods*; D005260:Female; D006801:Humans; D007441:Intubation, Gastrointestinal; D008297:Male; D008875:Middle Aged; D009751:Nutritional Requirements; D018529:Nutritional Support / Q000379:methods; D011228:Prealbumin; D012709:Serum Albumin; D016896:Treatment Outcome
chemical_list: D001786:Blood Glucose; D004044:Dietary Proteins; D011228:Prealbumin; D012709:Serum Albumin
keywords: Enteral feeding algorithm, Intensive care unit.