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      Complementariedade do escore NUTRIC modificado com ou sem proteína C-reativa e avaliação subjetiva global na predição de mortalidade em pacientes críticos Translated title: Complementarity of modified NUTRIC score with or without C-reactive protein and subjective global assessment in predicting mortality in critically ill patients

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          Abstract

          RESUMO Objetivo: Avaliar a concordância entre o escore NUTRIC modificado e o escore NUTRIC com proteína C-reativa na identificação de pacientes em risco nutricional e na predição da mortalidade entre pacientes críticos. Avaliou-se também o risco de óbito com agrupamento dos pacientes segundo o risco nutricional e a desnutrição detectada pela avaliação subjetiva global. Métodos: Estudo de coorte em pacientes admitidos em uma unidade de terapia intensiva. O risco nutricional foi avaliado por meio do escore NUTRIC modificado e uma versão do escore NUTRIC com proteína C-reativa. Aplicou-se avaliação subjetiva global para diagnóstico de desnutrição. Calculou-se a estatística de Kappa e construiu-se uma curva ROC considerando o NUTRIC modificado como referência. A validade preditiva foi avaliada considerando a mortalidade em 28 dias (na unidade de terapia intensiva e após a alta) como desfecho. Resultados: Estudaram-se 130 pacientes (63,05 ± 16,46 anos, 53,8% do sexo masculino). Segundo o NUTRIC com proteína C-reativa, 34,4% foram classificados como escore alto, enquanto 28,5% dos pacientes tiveram esta classificação com utilização do NUTRIC modificado. Segundo a avaliação subjetiva global, 48,1% dos pacientes estavam desnutridos. Observou-se concordância excelente entre o NUTRIC modificado e o NUTRIC com proteína C-reativa (Kappa = 0,88; p < 0,001). A área sob a curva ROC foi igual a 0,942 (0,881 - 1,000) para o NUTRIC com proteína C-reativa. O risco de óbito em 28 dias estava aumentado nos pacientes com escores elevados pelo NUTRIC modificado (HR = 1,827; IC95% 1,029 - 3,244; p = 0,040) e pelo NUTRIC com proteína C-reativa (HR = 2,685; IC95% 1,423 - 5,064; p = 0,002). Observou-se elevado risco de óbito nos pacientes com alto risco nutricional e desnutrição, independentemente da versão do NUTRIC aplicada. Conclusão: A concordância entre o escore NUTRIC modificado e o NUTRIC com proteína C-reativa foi excelente. Além disto, a combinação da avaliação com um escore NUTRIC mais avaliação subjetiva global pode aumentar a precisão para predição de mortalidade em pacientes críticos.

          Translated abstract

          ABSTRACT Objective: To evaluate the concordance between the modified NUTRIC and NUTRIC with C-reactive protein instruments in identifying nutritional risk patients and predicting mortality in critically ill patients. The risk of death in patient groups was also investigated according to nutritional risk and malnutrition detected by subjective global assessment. Methods: A cohort study of patients admitted to an intensive care unit. Nutritional risk was assessed by modified NUTRIC and a version of NUTRIC with C-reactive protein. Subjective global assessment was applied to diagnose malnutrition. Kappa statistics were calculated, and an ROC curve was constructed considering modified NUTRIC as a reference. The predictive validity was assessed considering mortality in 28 days (whether in the intensive care unit or after discharge) as the outcome. Results: A total of 130 patients were studied (63.05 ± 16.46 years, 53.8% males). According to NUTRIC with C-reactive protein, 34.4% were classified as having a high score, while 28.5% of patients had this classification with modified NUTRIC. According to SGA 48.1% of patients were malnourished. There was excellent agreement between modified NUTRIC and NUTRIC with C-reactive protein (Kappa = 0.88, p < 0.001). The area under the ROC curve was equal to 0.942 (0.881 - 1.000) for NUTRIC with C-reactive protein. The risk of death within 28 days was increased in patients with high modified NUTRIC (HR = 1.827; 95%CI 1.029 - 3.244; p = 0.040) and NUTRIC with C-reactive protein (HR = 2.685; 95%CI 1.423 - 5.064; p = 0.002) scores. A high risk of death was observed in patients with high nutritional risk and malnutrition, independent of the version of the NUTRIC score applied. Conclusion: An excellent agreement between modified NUTRIC and NUTRIC with C-reactive protein was observed. In addition, combining NUTRIC and subjective global assessment may increase the accuracy of predicting mortality in critically ill patients.

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          What is subjective global assessment of nutritional status?

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            Identifying critically ill patients who benefit the most from nutrition therapy: the development and initial validation of a novel risk assessment tool

            Introduction To develop a scoring method for quantifying nutrition risk in the intensive care unit (ICU). Methods A prospective, observational study of patients expected to stay > 24 hours. We collected data for key variables considered for inclusion in the score which included: age, baseline APACHE II, baseline SOFA score, number of comorbidities, days from hospital admission to ICU admission, Body Mass Index (BMI) < 20, estimated % oral intake in the week prior, weight loss in the last 3 months and serum interleukin-6 (IL-6), procalcitonin (PCT), and C-reactive protein (CRP) levels. Approximate quintiles of each variable were assigned points based on the strength of their association with 28 day mortality. Results A total of 597 patients were enrolled in this study. Based on the statistical significance in the multivariable model, the final score used all candidate variables except BMI, CRP, PCT, estimated percentage oral intake and weight loss. As the score increased, so did mortality rate and duration of mechanical ventilation. Logistic regression demonstrated that nutritional adequacy modifies the association between the score and 28 day mortality (p = 0.01). Conclusions This scoring algorithm may be helpful in identifying critically ill patients most likely to benefit from aggressive nutrition therapy.
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              Malnutrition: laboratory markers vs nutritional assessment

              Malnutrition is an independent risk factor for patient morbidity and mortality and is associated with increased healthcare-related costs. However, a major dilemma exists due to lack of a unified definition for the term. Furthermore, there are no standard methods for screening and diagnosing patients with malnutrition, leading to confusion and varying practices among physicians across the world. The role of inflammation as a risk factor for malnutrition has also been recently recognized. Historically, serum proteins such as albumin and prealbumin (PAB) have been widely used by physicians to determine patient nutritional status. However, recent focus has been on an appropriate nutrition-focused physical examination (NFPE) for diagnosing malnutrition. The current consensus is that laboratory markers are not reliable by themselves but could be used as a complement to a thorough physical examination. Future studies are needed to identify serum biomarkers in order to diagnose malnutrition unaffected by inflammatory states and have the advantage of being noninvasive and relatively cost-effective. However, a thorough NFPE has an unprecedented role in diagnosing malnutrition.
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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Journal
                rbti
                Revista Brasileira de Terapia Intensiva
                Rev. bras. ter. intensiva
                Associação de Medicina Intensiva Brasileira - AMIB (São Paulo, SP, Brazil )
                0103-507X
                1982-4335
                December 2019
                : 31
                : 4
                : 490-496
                Affiliations
                [5] Porto Alegre Rio Grande do Sul orgnameUniversidade Federal de Ciências da Saúde de Porto Alegre orgdiv1Departamento de Nutrição Brazil
                [10] Porto Alegre RS orgnameInstituto de Cardiologia do Rio Grande do Sul orgdiv1Programa de Pós-Graduação em Ciências da Saúde: Cardiologia Brasil
                [2] Kingston Ontário orgnameKingston General Hospital orgdiv1Unidade de Pesquisa Clínica Canadá
                [4] Kingston Ontario orgnameQueen's University orgdiv1Departamento de Medicina Crítica Canada
                [1] Porto Alegre Rio Grande do Sul orgnameUniversidade Federal de Ciências da Saúde de Porto Alegre Brazil
                [3] Kingston Ontario orgnameQueen's University orgdiv1Departamento de Saúde Pública Canada
                [6] Porto Alegre Rio Grande do Sul orgnameUniversidade Federal de Ciências da Saúde de Porto Alegre orgdiv1Programa de Pós-Graduação em Ciências da Nutrição Brazil
                [7] Curitiba Paraná orgnameUniversidade Federal do Paraná orgdiv1Programa de Pós-Graduação em Alimentos e Nutrição Brazil
                [8] Porto Alegre Rio Grande do Sul orgnameSanta Casa de Misericórdia de Porto Alegre orgdiv1Serviço de Nutrição Brazil
                [9] São Paulo SP orgnameHCor-Hospital do Coração orgdiv1Instituto de Pesquisa Brasil
                Article
                S0103-507X2019000400490 S0103-507X(19)03100400490
                10.5935/0103-507x.20190086
                b1e2ea51-ebf3-4077-8836-a7b723009d5d

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

                History
                : 10 January 2019
                : 23 June 2019
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 28, Pages: 7
                Product

                SciELO Brazil

                Categories
                Artigos Originais

                Critical care,Screening,Nutrition,Nutritional assessment,Unidades de terapia intensiva,Mortalidade,Inflamação,Cuidados críticos,Rastreamento,Nutrição,Avaliação nutricional,Intensive care units,Mortality,Inflammation

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