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Prediction of Renal Acid Load in Adult Patients on Parenteral Nutrition

Metabolic acidosis and metabolic bone disease are frequent complications in patients on parenteral nutrition (PN). A common contributor to these complications could be a daily high renal acid load. This study aims to find a method for predicting the potential total acid load (PTAL) and the pH of the...

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Autores principales: Iacone, Roberto, Scanzano, Clelia, D’Isanto, Anna, Vitalone, Andrea, Frangipane, Ignazio, D’Angeli, Mariana, Santarpia, Lidia, Contaldo, Franco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6027183/
https://www.ncbi.nlm.nih.gov/pubmed/29614806
http://dx.doi.org/10.3390/pharmaceutics10020043
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author Iacone, Roberto
Scanzano, Clelia
D’Isanto, Anna
Vitalone, Andrea
Frangipane, Ignazio
D’Angeli, Mariana
Santarpia, Lidia
Contaldo, Franco
author_facet Iacone, Roberto
Scanzano, Clelia
D’Isanto, Anna
Vitalone, Andrea
Frangipane, Ignazio
D’Angeli, Mariana
Santarpia, Lidia
Contaldo, Franco
author_sort Iacone, Roberto
collection PubMed
description Metabolic acidosis and metabolic bone disease are frequent complications in patients on parenteral nutrition (PN). A common contributor to these complications could be a daily high renal acid load. This study aims to find a method for predicting the potential total acid load (PTAL) and the pH of the compounded parenteral nutrition mixtures. The pH and titratable acidity (TA) of fifty compounded mixtures were measured. The potential metabolic acid load (PMAL) was calculated by considering the amount of nutrients that are acid producers and consumers. The PTAL of the TPN mixtures was calculated by adding TA to PMAL. Multiple linear regression analyses were used to develop a predictive model for the TA and pH of the compounded mixtures. The predicted TA and pH values of the analyzed mixtures agreed with those measured (Passing-Bablok analysis). The PTAL was >50 mmol/day for 82% of the mixtures, >75 mmol/day for 40% of the mixtures, and >100 mmol/day for 22% of the mixtures. The prediction of the renal acid load in patients on long-term PN could allow more appropriate acid-base balancing. Moreover, predicting the pH of such mixtures could be useful to pharmacists to assess the stability and compatibility of the components in the compounded mixtures.
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spelling pubmed-60271832018-07-13 Prediction of Renal Acid Load in Adult Patients on Parenteral Nutrition Iacone, Roberto Scanzano, Clelia D’Isanto, Anna Vitalone, Andrea Frangipane, Ignazio D’Angeli, Mariana Santarpia, Lidia Contaldo, Franco Pharmaceutics Article Metabolic acidosis and metabolic bone disease are frequent complications in patients on parenteral nutrition (PN). A common contributor to these complications could be a daily high renal acid load. This study aims to find a method for predicting the potential total acid load (PTAL) and the pH of the compounded parenteral nutrition mixtures. The pH and titratable acidity (TA) of fifty compounded mixtures were measured. The potential metabolic acid load (PMAL) was calculated by considering the amount of nutrients that are acid producers and consumers. The PTAL of the TPN mixtures was calculated by adding TA to PMAL. Multiple linear regression analyses were used to develop a predictive model for the TA and pH of the compounded mixtures. The predicted TA and pH values of the analyzed mixtures agreed with those measured (Passing-Bablok analysis). The PTAL was >50 mmol/day for 82% of the mixtures, >75 mmol/day for 40% of the mixtures, and >100 mmol/day for 22% of the mixtures. The prediction of the renal acid load in patients on long-term PN could allow more appropriate acid-base balancing. Moreover, predicting the pH of such mixtures could be useful to pharmacists to assess the stability and compatibility of the components in the compounded mixtures. MDPI 2018-04-02 /pmc/articles/PMC6027183/ /pubmed/29614806 http://dx.doi.org/10.3390/pharmaceutics10020043 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Iacone, Roberto
Scanzano, Clelia
D’Isanto, Anna
Vitalone, Andrea
Frangipane, Ignazio
D’Angeli, Mariana
Santarpia, Lidia
Contaldo, Franco
Prediction of Renal Acid Load in Adult Patients on Parenteral Nutrition
title Prediction of Renal Acid Load in Adult Patients on Parenteral Nutrition
title_full Prediction of Renal Acid Load in Adult Patients on Parenteral Nutrition
title_fullStr Prediction of Renal Acid Load in Adult Patients on Parenteral Nutrition
title_full_unstemmed Prediction of Renal Acid Load in Adult Patients on Parenteral Nutrition
title_short Prediction of Renal Acid Load in Adult Patients on Parenteral Nutrition
title_sort prediction of renal acid load in adult patients on parenteral nutrition
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6027183/
https://www.ncbi.nlm.nih.gov/pubmed/29614806
http://dx.doi.org/10.3390/pharmaceutics10020043
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