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      A mathematical description for the nutrition therapy ecosystem Translated title: Una descripción matemática del ecosistema de terapia nutricional

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          Abstract

          Abstract Background: nutrition therapy is a complex area of healthcare systems that encompasses patient characteristics, medical decision making, nutritional formula characteristics, and costs, composing a complex ecosystem. The integration of these different domains is actualized in medical prescription in a heuristic and iterative way, taking into account patient characteristics and formulas, with a limited capacity for in-scale calculations and inclusion of factors involved in the prescription of nutritional formulas and other ecosystem elements. From a practical standpoint, depicting the four areas as equalities could provide the necessary equivalence to study dependence and consequence from left- and right-side terms. Objectives: the objective of this theoretical study is to provide a mathematical model that describes and integrates different aspects of nutrition therapy. Methods: in this theoretical study, we deducted a mathematical representation for nutrition therapy using first-grade equations and simple calculus techniques. Results: a formula that coordinates four elements of the nutrition therapy ecosystem was found: cashflow, compliance adherence, patient, and macronutrient mass, formula density and unitary cost. Conclusion: factors involving decision-making in nutrition therapy can be unified in a mathematical model.

          Translated abstract

          Resumen Antecedentes: la terapia nutricional es un área compleja de los sistemas de salud que abarca las características del paciente, la toma de decisiones médicas, las características de la fórmula nutricional y los costos, componiendo un ecosistema complejo. La integración de estos diferentes dominios se actualiza en la prescripción médica de forma heurística e iterativa, teniendo en cuenta las características y fórmulas del paciente, con una capacidad limitada para cálculos a escala e inclusión de otros factores relacionados con la prescripción de la terapia nutricional y los elementos del ecosistema. Desde un punto de vista práctico, describir las cuatro áreas como igualdades podría proporcionar la equivalencia necesaria para estudiar la dependencia y la consecuencia de los términos del lado izquierdo y derecho. Objetivos: el objetivo de este estudio teórico es brindar un modelo matemático que describa e integre diferentes aspectos de la terapia nutricional. Métodos: en este estudio teórico se dedujo una representación matemática para la terapia nutricional utilizando ecuaciones de primer grado y técnicas de cálculo simple. Resultados: se encontró una fórmula que coordina cuatro elementos del ecosistema de la terapia nutricional: flujo de caja, adherencia al cumplimiento, masa del paciente y macronutrientes, densidad de la fórmula y costo unitario. Conclusión: los factores que involucran la toma de decisiones en la terapia nutricional se pueden unificar en un modelo matemático.

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          Guidelines for the Provision and Assessment of Nutrition Support Therapy in the Adult Critically Ill Patient: Society of Critical Care Medicine (SCCM) and American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.).

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            Clinical nutrition prescription using a mathematical method to assess industrialized formulas

            Abstract Background: the planning of nutritional therapy depends on restrictions defined by the prescriber, in a way that nutrients and calories levels are placed at appropriate intervals. Since industrialized formulas (IF) have fixed compositions of macro and micronutrients, there is a high risk of not meeting the set of restrictions in a given clinical scenario, i.e., attendance of the caloric, but not of the protein target. Objective: the objective of this study is to identify under what conditions it is possible an industrialized formula to meet the clinical restrictions of calories, macro and micronutrients. Methods: we deduced a mathematical relationship that must be met in order to satisfy such constraints. Using as variables: a) the necessary volume of an FI to meet the energy goal; b) the energy density of the FI; c) upper limit of calorie or nutrient; and d) the lower limit of calorie or nutrient. Results: a first degree inequality was developed that if attended allows to discriminate if a prescribed volume v of an IF meets the set of restrictions placed by the prescriber, in order to previously select viable formulas among a portfolio. Clinical vignettes are presented. Conclusion: the viability condition of an industrialized formula for the attendance of a system of constraints can be identified with the aid of a mathematical formula of the first-degree inequality type.
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              Author and article information

              Journal
              nh
              Nutrición Hospitalaria
              Nutr. Hosp.
              Grupo Arán (Madrid, Madrid, Spain )
              0212-1611
              1699-5198
              August 2022
              : 39
              : 4
              : 905-909
              Affiliations
              [1] Rio de Janeiro orgnameNutrotech Brazil
              Article
              S0212-16112022000600023 S0212-1611(22)03900400023
              10.20960/nh.03954
              3a577bf7-a76f-4268-bf46-4198d6966cc6

              This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

              History
              : 13 November 2021
              : 15 March 2022
              Page count
              Figures: 0, Tables: 0, Equations: 0, References: 2, Pages: 5
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              SciELO Spain

              Categories
              Original Papers

              Modelos matemáticos,Fórmulas nutricionales,Flujo de caja,Terapia nutricional,Nutritional formulas,Cashflow,Nutrition therapy,Mathematical models

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