PubMed Health⌕ Search

PubMed · 7922436

What is optimal nutritional support?

Abstract

Nutritional support of the seriously ill patient has evolved with time and reflects new developments in the field of critical care. Current information suggests that optimal nutritional support can be provided by supplying at least 80% of energy requirements with at least 70% of the energy given as carbohydrate and the remaining 30% or less administered as fat (with > or = 3% of energy requirements as essential fatty acids). The caloric load may be reduced to 50% of requirements if growth factors (e.g., growth hormone) are utilized and the patient has adequate fat stores. Protein should be given as 1.5 g/kg/day; more catabolic patients, such as patients with burn injury, should receive 2 g/kg/day. All protein or amino acid feeding should include glutamine. There is an increased need for vitamins (especially A, C, and E) and minerals (zinc, selenium, and magnesium). The preferred route of feeding should be enteral, followed by enteral plus supplemental parenteral nutrition. If the gastrointestinal tract cannot be used, parenteral nutrition should be given. Nutrients should be administered early in the catabolic course, especially glucose, sodium, potassium, vitamins, and minerals. Over time (approximately 7 days) amino acids should be added and approximately 50% of caloric support should be provided. Finally, full nutritional support should be provided (by 7 to 10 days) if the catabolic course is expected to continue.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

M A DeBiasse, D W Wilmore. 1994. What is optimal nutritional support?. https://pubmed.ncbi.nlm.nih.gov/7922436/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Chimeric structural isomer fragments as cost-efficient internal standards for amino acid quantification by mass spectrometry.

Amino acid (AA) profiles from body fluids such as blood and urine are clinical indicators for diagnosing metabolic and hepatic diseases. Current quantitative methods, such as liquid chromatography-mass spectrometry (LC-MS) with isotopically labelled internal standards (ISs), are costly and technically demanding. This study proposes a cost-efficient alternative using structural isomers as ISs in a direct liquid infusion (DLI) tandem mass spectrometry (MS/MS) approach. The method leverages chimeric spectra and fragment intensity ratios to quantify AAs, demonstrating high linearity and precision even with a 3D ion trap mass analyser. This approach offers a viable strategy for AA quantification in preventive medicine, particularly for screening metabolic diseases such as phenylketonuria, diabetes, and liver dysfunction.

Amino Acids↗

MODEL-molecular descriptor lab: a web-based server for computing structural and physicochemical features of compounds.

Molecular descriptors represent structural and physicochemical features of compounds. They have been extensively used for developing statistical models, such as quantitative structure activity relationship (QSAR) and artificial neural networks (NN), for computer prediction of the pharmacodynamic, pharmacokinetic, or toxicological properties of compounds from their structure. While computer programs have been developed for computing molecular descriptors, there is a lack of a freely accessible one. We have developed a web-based server, MODEL (Molecular Descriptor Lab), for computing a comprehensive set of 3,778 molecular descriptors, which is significantly more than the approximately 1,600 molecular descriptors computed by other software. Our computational algorithms have been extensively tested and the computed molecular descriptors have been used in a number of published works of statistical models for predicting variety of pharmacodynamic, pharmacokinetic, and toxicological properties of compounds. Several testing studies on the computed molecular descriptors are discussed. MODEL is accessible at http://jing.cz3.nus.edu.sg/cgi-bin/model/model.cgi free of charge for academic use.

Amino Acids↗

The penicillin G acylase production by B. megaterium is amino acid consumption dependent.

Aiming at to enhance the production of penicillin G acylase (PGA) by Bacillus megaterium, we have performed flasks experiments using different medium composition. Using 51 g/L of casein hydrolyzed with Alcalase and 2.7 g/L of phenylacetic acid (PhAc), the following carbon substrates were tested, individually and combined: glucose, glycerol, and lactose (present in cheese whey). Glycerol and glucose showed to be effective nutrients for the microorganism growth but delayed the PGA production. Cheese whey always increased enzyme production and cell mass. However, lactose (present in cheese whey) was not a significant carbon source for B. megaterium. PhAc, amino acids, and small peptides present in the hydrolyzed casein were the actual carbon sources for enzyme production. Replacement of hydrolyzed casein by free amino acids, 10.0 g/L, led to a significant increase in enzyme production (app. 150%), with a preferential consumption of alanine, aspartic acid, glycine, serine, arginine, threonine, lysine, and glutamic acid. A decrease of the enzyme production was observed when 20.0 g/L of amino acids were used. Using the single omission technique, it was shown that none of the 18 tested amino acids was essential for enzyme production. The use of a medium containing eight of the preferentially consumed amino acids lead to similar enzyme production level obtained when using 18 amino acids. PhAc, up to 2.7 g/L, did not inhibit enzyme production, even if added at the beginning of the cultivation.

Amino Acids↗