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SAPS 3 in the modified NUTrition RIsk in the Critically ill score has comparable predictive accuracy to APACHE II as a severity marker

ABSTRACT

Objective:

To evaluate the substitution of Acute Physiology and Chronic Health Evaluation II (APACHE II) by Simplified Acute Physiology Score 3 (SAPS 3) as a severity marker in the modified version of the NUTrition RIsk in the Critically ill score (mNUTRIC); without interleukin 6) based on an analysis of its discriminative ability for in-hospital mortality prediction.

Methods:

This retrospective cohort study evaluated 1,516 adult patients admitted to an intensive care unit of a private general hospital from April 2017 to January 2018. Performance evaluation included Fleiss’ Kappa and Pearson correlation analysis. The discriminative ability for estimating in-hospital mortality was assessed with the Receiver Operating Characteristic curve.

Results:

The sample was randomly divided into two-thirds for model development (n = 1,025; age 72 [57 - 83]; 52.4% male) and one-third for performance evaluation (n = 490; age 72 [57 - 83]; 50.8% male). The agreement with mNUTRIC was Kappa of 0.563 (p < 0.001), and the correlation between the instruments was Pearson correlation of 0.804 (p < 0.001). The tool showed good performance in predicting in-hospital mortality (area under the curve 0.825 [0.787 - 0.863] p < 0.001).

Conclusion:

The substitution of APACHE II by SAPS 3 as a severity marker in the mNUTRIC score showed good performance in predicting in-hospital mortality. These data provide the first evidence regarding the validity of the substitution of APACHE II by SAPS 3 in the mNUTRIC as a marker of severity. Multicentric studies and additional analyses of nutritional adequacy parameters are required.

Keywords:
Nutritional assessment; Critical care; APACHE; Simplified acute physiology score; Mortality; Severity of illness index

RESUMO

Objetivo:

Avaliar o Simplified Acute Physiology Score 3 (SAPS 3) como substituto do Acute Physiology and Chronic Health Evaluation II (APACHE II) como marcador de gravidade na versão modificada do escore NUTrition RIsk in the Critically ill (mNUTRIC; sem interleucina 6), com base em uma análise de sua capacidade discriminativa para predição de mortalidade hospitalar.

Métodos:

Este estudo de coorte retrospectiva avaliou 1.516 pacientes adultos internados em uma unidade de terapia intensiva de um hospital geral privado entre abril de 2017 e janeiro de 2018. A avaliação de desempenho incluiu as análises Kappa de Fleiss e correlação de Pearson. A capacidade discriminativa para estimar a mortalidade hospitalar foi avaliada com a curva Característica de Operação do Receptor.

Resultados:

A amostra foi dividida aleatoriamente em dois terços para o desenvolvimento do modelo (n = 1.025; idade 72 [57 - 83]; 52,4% masculino) e um terço para avaliação do desempenho (n = 490; idade 72 [57 - 83]; 50,8 % masculino). A concordância com o mNUTRIC foi Kappa de 0,563 (p < 0,001), e a correlação entre os instrumentos foi correlação de Pearson de 0,804 (p < 0,001). A ferramenta mostrou bom desempenho para prever a mortalidade hospitalar (área sob a curva de 0,825 [0,787 - 0,863] p < 0,001).

Conclusão:

A substituição do APACHE II pelo SAPS 3 como marcador de gravidade no escore mNUTRIC mostrou bom desempenho para predizer a mortalidade hospitalar. Esses dados fornecem a primeira evidência sobre a validade da substituição do APACHE II pelo SAPS 3 no mNUTRIC como marcador de gravidade. São necessários estudos multicêntricos e análises adicionais dos parâmetros de adequação nutricional.

Descritores:
Avaliação nutricional; Cuidados críticos; APACHE; Escore fisiológico agudo simplificado; Mortalidade; Índice de gravidade de doença

INTRODUCTION

The NUTrition RIsk in the Critically ill (NUTRIC) scoring system is the only nutritional screening tool developed specifically for critically ill patients.(11 Heyland DK, Dhaliwal R, Jiang X, Day AG. Identifying critically ill patients who benefit the most from nutrition therapy: the development and initial validation of a novel risk assessment tool. Crit Care. 2011;15(6): R268.) It was proposed by Heyland et al. for assessing the risk of adverse events (i.e., mortality, days on mechanical ventilation - MV), which are potentially modifiable by adequate nutritional intervention.(11 Heyland DK, Dhaliwal R, Jiang X, Day AG. Identifying critically ill patients who benefit the most from nutrition therapy: the development and initial validation of a novel risk assessment tool. Crit Care. 2011;15(6): R268.) The tool is based on a conceptual model that addresses current lines of thought on malnutrition in adult patients and includes disease severity, chronic starvation, and inflammation, stressing their influence on the nutritional and prognostic status of a patient on intensive care unit (ICU) admission.(11 Heyland DK, Dhaliwal R, Jiang X, Day AG. Identifying critically ill patients who benefit the most from nutrition therapy: the development and initial validation of a novel risk assessment tool. Crit Care. 2011;15(6): R268.) The instrument has been modified and validated without interleukin-6, which was included in the first version but then removed due to measurement difficulties in most centers. When the interleukin 6 measurement was removed, Rahman et al. did not observe any clinically or statistically significant changes in their data, recommending the removal of the score marker without prejudice to the score.(22 Rahman A, Hasan RM, Agarwala R, Martin C, Day AG, Heyland DK. Identifying critically-ill patients who will benefit most from nutritional therapy: further validation of the “modified NUTRIC” nutritional risk assessment tool. Clin Nutr. 2016;35(1):158-62.) The NUTRIC scoring system is recommended by national and international guidelines(33 Castro MG, Ribeiro PC, Souza IA, Cunha HF, Silva MH, Rocha EE, et al. Diretrizes Brasileira de Terapia Nutricional no Paciente Grave. BRASPEN J. 2018;33 (Supl 1): 2-36.,44 McClave SA, Taylor BE, Martindale RG, Warren MM, Johnson DR, Braunschweig C, McCarthy MS, Davanos E, Rice TW, Cresci GA, Gervasio JM, Sacks GS, Roberts PR, Compher C; Society of Critical Care Medicine; American Society for Parenteral and Enteral Nutrition. 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.). JPEN J Parenter Enteral Nutr. 2016;40(2):159-211.) and identifies that approximately half of patients admitted to the ICU have high nutritional risk.(55 Mendes R, Policarpo S, Fortuna P, Alves M, Virella D, Heyland DK; Portuguese NUTRIC Study Group. Nutritional risk assessment and cultural validation of the modified NUTRIC score in critically ill patients--A multicenter prospective cohort study. J Crit Care. 2017;37:45-9.)

The NUTRIC system uses the Acute Physiology and Chronic Health Evaluation (APACHE) II score as a marker of severity and prognosis. However, there is a new generation of prognostic scores that are widely available and can be applied earlier and more easily, such as the Simplified Acute Physiology Score (SAPS) 3.(66 Sedlon P, Kamenik L, Skvaril J, Maly M, Taborsky M, Zavoral M. Comparison of the accuracy and correctness of mortality estimates for intensive care unit patients in internal clinics of the Czech Republic using APACHE II, APACHE IV, SAPS 3 and MPMoIII models. Med Glas (Zenica). 2016;13(2):82-9.

7 Metnitz PG, Moreno RP, Almeida E, Jordan B, Peter B, Campos RA, Iapichino G, Edbrooke D, Capuzzo M, Le Gall JR; SAPS 3 Investigators. SAPS 3--From evaluation of the patient to evaluation of the intensive care unit. Part 1: Objectives, methods and cohort description. Intensive Care Med. 2005;31(10):1336-44.
-88 Silva Junior JM, Malbouisson LM, Nuevo HL, Barbosa LG, Marubyashi LY, Teixeira IC, et al. Applicability of the Simplified Acute Physiology Score (SAPS 3) in Brazilian hospitals. Rev Bras Anestesiol. 2010;60(1):20-31.) The SAPS 3 system was developed in a global cohort and consists of 20 variables divided into demographic data, physiologic parameters, and reasons for ICU admission. Total SAPS 3 score may range from 16 to 217 points.(88 Silva Junior JM, Malbouisson LM, Nuevo HL, Barbosa LG, Marubyashi LY, Teixeira IC, et al. Applicability of the Simplified Acute Physiology Score (SAPS 3) in Brazilian hospitals. Rev Bras Anestesiol. 2010;60(1):20-31.) It has the advantage of calculating the probability of death within the first hour of ICU admission and calibrating it according to the world region. Because of these characteristics, it has been incorporated into several clinical research protocols in ICU settings.

With the increasing adherence to the SAPS 3 rather than APACHE II as a severity score in ICUs, the use of NUTRIC score modified version (mNUTRIC) as a nutritional screening tool in clinical settings is finding difficulties.(88 Silva Junior JM, Malbouisson LM, Nuevo HL, Barbosa LG, Marubyashi LY, Teixeira IC, et al. Applicability of the Simplified Acute Physiology Score (SAPS 3) in Brazilian hospitals. Rev Bras Anestesiol. 2010;60(1):20-31.,99 Mbongo CL, Monedero P, Guillen-Grima F, Yepes MJ, Vives M, Echarri G. Performance of SAPS3, compared with APACHE II and SOFA, to predict hospital mortality in a general ICU in Southern Europe. Eur J Anaesthesiol. 2009;26(11):940-5.) The unavailability of APACHE II data and the time required to calculate this score as a step prior to performing the mNUTRIC evaluation make the time required for its application long, an unwanted feature for nutritional screening tools. The SAPS 3 is a prognostic system and predicts mortality as the APACHE II score. For the mNUTRIC, we hypothesized that using SAPS 3 instead of APACHE II as a severity marker results in a comparable predictive accuracy of mortality. We aimed to contribute to the provision of the first evidence about the validity of the substitution of APACHE II by SAPS 3 in the mNUTRIC as a marker of severity.

METHODS

This retrospective cohort study included patients admitted to an ICU of a private general hospital in Brazil who stayed more than 24 hours from April 2017 to January 2018. They underwent nutritional risk assessment on ICU admission using the mNUTRIC score in the first 24 - 48 hours.

The study was conducted in accordance with the Declaration of Helsinki and was approved by the local research ethics committee (protocol #18-0271). The authors signed an agreement to preserve patient and staff anonymity related to the use of these data. Given the characteristics of the study, patient consent was waived.

Data collection

The following epidemiological and clinical variables were collected: age, sex, body mass index (BMI), Sequential Organ Failure Assessment (SOFA), APACHE II, SAPS 3, use of MV, place of origin (before ICU admission), reason for ICU admission, lengths of ICU and hospital stay, and ICU and in-hospital mortality.

Nutritional risk assessment was performed using the mNUTRIC score, whose final score consists of the sum of scores assigned to the following components: age, APACHE II, SOFA, number of comorbidities, and length of hospital stay before ICU admission. Classification was based on the system proposed for the modified version: a low score was zero to four points (low risk), and a high score was ≥ 5 to 9 points (high risk).(22 Rahman A, Hasan RM, Agarwala R, Martin C, Day AG, Heyland DK. Identifying critically-ill patients who will benefit most from nutritional therapy: further validation of the “modified NUTRIC” nutritional risk assessment tool. Clin Nutr. 2016;35(1):158-62.)

Substitution of APACHE II by SAPS 3 in mNUTRIC

Simplified Acute Physiology Score 3 scoring ranges were defined using APACHE II cutoff points from linear regression modeling and comparison in the Receiver Operating Characteristic (ROC) curve for in-hospital mortality. The score assigned to the ranges of the SAPS 3 component was maintained according to the original instrument (zero to three points). Patients were classified as high nutritional risk when the score was ≥ 5 - 9 points. To validate this model, all-cause in-hospital mortality was used as the outcome.

Statistical analysis

The sample size was calculated based on the study of Silva Junior et al.,(88 Silva Junior JM, Malbouisson LM, Nuevo HL, Barbosa LG, Marubyashi LY, Teixeira IC, et al. Applicability of the Simplified Acute Physiology Score (SAPS 3) in Brazilian hospitals. Rev Bras Anestesiol. 2010;60(1):20-31.) which evaluated whether SAPS 3 is applicable to Brazilian ICUs and found a 75.8% sensitivity in the discrimination between survivors and nonsurvivors. Considering a 0.7 sensitivity with a 0.1 precision and a 0.55 prevalence of mortality (obtained from institutional data), the minimum number of patients was 148.

Quantitative variables were summarized as medians and interquartile ranges. Qualitative variables were expressed as absolute and relative frequencies. The Shapiro-Wilk test was used to assess the normality of variables. Poisson regression was used to assess the relationship between severity scores and in-hospital mortality, adjusted for number of comorbidities, age, sex, place of admission, use of MV, and BMI. Correlations between instruments were analyzed using the Pearson correlation coefficient.

Agreement between the instruments on nutritional risk classification was assessed using Fleiss’ kappa (k). This index ranges from zero to one and considers < 0.2 low agreement, 0.2 to 0.4 fair agreement, 0.4 to 0.6 moderate agreement, 0.6 to 0.8 substantial agreement, and > 0.8 almost perfect agreement.

The ability to predict in-hospital mortality in a model composed of the SAPS 3 score was analyzed using the area under the ROC curve (AUC) and 95% confidence intervals (95%CI). The level of significance was set at 5%. The predictive validity of the proposed model versus the mNUTRIC score was assessed using Poisson regression with robust variance for in-hospital mortality, adjusting for age and sex. For data analysis, the Statistical Package for the Social Sciences (SPSS) software, version 21.0, was used.

RESULTS

From April 2017 to January 2018, 1,516 patients were considered eligible. The sample was randomly divided into two-thirds for model development (n = 1,025) and one-third for model performance evaluation (n = 490). Patients’ characteristics are described in table 1.

A correlation was observed between APACHE II and SAPS 3 scores toward increased value and in-hospital mortality after adjustment (relative risk - RR of 1.11 [1.07 - 1.14]; p < 0.001 - AUC with 95%CI 0.779 (0.751 - 0.806); RR of 1.01 (1.00 - 1.01); p < 0.001; AUC with 95%CI 0.819 (0.795 - 0.843), respectively).

Table 2 shows the mNUTRIC with SAPS 3. For development, data on the performance of the new instrument versus the mNUTRIC score in the study sample (n = 1,025) were as follows: correlation between scores of r = 0.839 (p < 0.001); agreement on nutritional risk classification between the instruments of k = 0.543 (p < 0.001); and the ability to predict in-hospital mortality from AUC resulted in an area of 0.869 (95%CI 0.844 - 0.894) (Figure 1). Data on the discriminative ability to predict 28-day mortality of the mNUTRIC score are described in table 2.

Figure 1
Receiver Operating Characteristic Curve for predicting in-hospital mortality in the development and performance evaluation of the modified NUTrition RIsk in the Critically ill score with Simplified Acute Physiology Score 3.

ROC - Receiver Operating Characteristic; mNUTRIC - modified NUTrition RIsk in the Critically ill; SAPS 3 - Simplified Acute Physiology Score 3; AUC - area under the curve; 95%CI - 95% confidence interval.


Table 1
Patients’ characteristics mNUTRIC - modified NUTrition RIsk in the Critically ill; SAPS 3 - Simplified Acute Physiology Score 3; APACHE II - Acute Physiology and Chronic Health Evaluation II; SOFA - Sequential Organ Failure Assessment; ICU - intensive care unit; AUC - area under the curve. *A 95% confidence interval was adopted for kappa agreement and Pearson correlation.
Table 2
Proposed modified NUTrition RIsk in the Critically ill score with Simplified Acute Physiology Score 3

The performance of the proposed model was evaluated using one-third of the sample (n = 490). The agreement between the instruments (mNUTRIC composed of SAPS 3 versus mNUTRIC score) was 0.563 (p < 0.001); the correlation was 0.804 (p < 0.001); and the discriminative ability of the proposed model to predict in-hospital mortality was AUC of 0.825 (95%CI 0.787-0.863) (Figure 1).

Patients classified as high nutritional risk in the proposed model showed an incidence ratio (IR) for in-hospital mortality of 1.263 (95%CI 1.178 - 1.353; p < 0.001) in the analysis after adjusting for age and sex. Similarly, the predictive validity of the mNUTRIC score showed a higher IR for in-hospital mortality in patients with high nutritional risk (IR 1.321; 95%CI 1.231 - 1.417; p < 0.001).

DISCUSSION

In this study, we hypothesized that APACHE II substitution by SAPS 3 in the mNUTRIC score would result in a comparable accuracy for all-cause in-hospital mortality prediction. Our data show good performance with regard to the ability to predict in-hospital mortality after adjusting for age and sex, as well as discriminative ability for in-hospital mortality. These results strongly relate to the results of both the original NUTRIC study (AUC: 0.783)(11 Heyland DK, Dhaliwal R, Jiang X, Day AG. Identifying critically ill patients who benefit the most from nutrition therapy: the development and initial validation of a novel risk assessment tool. Crit Care. 2011;15(6): R268.) and its modified version (AUC: 0.768) for mortality.(22 Rahman A, Hasan RM, Agarwala R, Martin C, Day AG, Heyland DK. Identifying critically-ill patients who will benefit most from nutritional therapy: further validation of the “modified NUTRIC” nutritional risk assessment tool. Clin Nutr. 2016;35(1):158-62.)

The NUTRIC scoring system is the first specific tool for ICU nutritional screening and can be easily applied to critically ill patients as long as other variables, such as the APACHE II and SOFA scores, are available when patients are admitted to an ICU.(1010 Kozeniecki M, Pitts H, Patel JJ. Barriers and solutions to delivery of intensive care unit nutrition therapy. Nutr Clin Pract. 2018;33(1):8-15.) It was created for nutritional screening, but it has proven to be an effective predictor of mortality in patients at nutritional risk.(1111 de Vries MC, Koekkoek WK, Opdam MH, van Blokland D, van Zanten AR. Nutritional assessment of critically ill patients: validation of the modified NUTRIC score. Eur J Clin Nutr. 2018;72(3):428-35.,1212 Becker T, Zanchim MC, Mognon A, Junior LRC, Cibulski TP, Correa JA, et al. Risco nutricional de pacientes críticos utilizando o NUTRIC Score. BRASPEN J. 2018;33(1):26-31.) Currently, prognostic scores that are more suitable for ICU settings have been used, such as the SAPS 3.(1313 Moreno RP, Metnitz PG, Almeida E, Jordan B, Bauer P, Campos RA, Iapichino G, Edbrooke D, Capuzzo M, Le Gall JR; SAPS 3 Investigators. SAPS 3--From evaluation of the patient to evaluation of the intensive care unit. Part 2: Development of a prognostic model for hospital mortality at ICU admission. Intensive Care Med. 2005;31(10):1345-55.,1414 Ledoux D, Canivet JL, Preiser JC, Lefrancq J, Damas P. SAPS 3 admission score: an external validation in a general intensive care population. Intensive Care Med. 2008;34(10):1873-7.) Therefore, knowing whether the SAPS 3 could replace the APACHE II in the NUTRIC system without compromising performance would provide a quick option for screening this specific group of patients. To the best of our knowledge, this study was the first to evaluate the validity of the replacement of the APACHE II with the SAPS 3 as a severity marker in the mNUTRIC.

The model was developed using robust statistical modeling and sampling. However, this study has several limitations. In Heyland’s original NUTRIC study,(11 Heyland DK, Dhaliwal R, Jiang X, Day AG. Identifying critically ill patients who benefit the most from nutrition therapy: the development and initial validation of a novel risk assessment tool. Crit Care. 2011;15(6): R268.) the median patient age was 63.5 years, while in our study, the median patient age was 72 years. The APACHE II was 21, while in our sample, it was 15. Likewise, the SOFA in Heyland’s study was 7, while in our study, it was 2, indicating that our patients, despite being older, had lower disease severity. Although the severity scores were lower in our sample, the mean length of ICU stay was four days, which indicates nutritional risk and requires the initiation of nutritional therapy.(1515 Singer P, Blaser AR, Berger MM, Alhazzani W, Calder PC, Casaer MP, et al. ESPEN guideline on clinical nutrition in the intensive care unit. Clin Nutr. 2019;38(1):48-79.) Our study was conducted retrospectively in a single center, although the NUTRIC score was obtained prospectively on ICU admission; therefore, it is still necessary to apply it in other ICUs with patients with more severe illness and to perform a prospective performance evaluation. Undoubtedly, future studies are needed for external performance evaluation of the proposed model. We believe the major limitation of this study was the absence of nutritional adequacy data analysis. The nutritional data unavailability precluded evaluation of the model proposed and its response to nutrition support. This limitation is relevant because the NUTRIC score was designed to evaluate which patients benefit most from nutritional therapy; thus, this analysis is crucial for performance evaluation of the model. Nevertheless, we believe that this study contributed to providing initial evidence on the possibility of substitution of APACHE II in the mNUTRIC score by SAPS 3 as a marker of severity without impairing its performance in predicting mortality.

CONCLUSION

Our data suggest that the substitution of APACHE II by SAPS 3 as a severity marker in the mNUTRIC score showed good performance in predicting in-hospital mortality. These data provide the first evidence regarding the validity of the substitution of APACHE II by SAPS 3 in the mNUTRIC as a marker of severity. Multicentric studies and additional analysis of nutritional adequacy parameters are required.

REFERÊNCIAS

  • 1
    Heyland DK, Dhaliwal R, Jiang X, Day AG. Identifying critically ill patients who benefit the most from nutrition therapy: the development and initial validation of a novel risk assessment tool. Crit Care. 2011;15(6): R268.
  • 2
    Rahman A, Hasan RM, Agarwala R, Martin C, Day AG, Heyland DK. Identifying critically-ill patients who will benefit most from nutritional therapy: further validation of the “modified NUTRIC” nutritional risk assessment tool. Clin Nutr. 2016;35(1):158-62.
  • 3
    Castro MG, Ribeiro PC, Souza IA, Cunha HF, Silva MH, Rocha EE, et al. Diretrizes Brasileira de Terapia Nutricional no Paciente Grave. BRASPEN J. 2018;33 (Supl 1): 2-36.
  • 4
    McClave SA, Taylor BE, Martindale RG, Warren MM, Johnson DR, Braunschweig C, McCarthy MS, Davanos E, Rice TW, Cresci GA, Gervasio JM, Sacks GS, Roberts PR, Compher C; Society of Critical Care Medicine; American Society for Parenteral and Enteral Nutrition. 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.). JPEN J Parenter Enteral Nutr. 2016;40(2):159-211.
  • 5
    Mendes R, Policarpo S, Fortuna P, Alves M, Virella D, Heyland DK; Portuguese NUTRIC Study Group. Nutritional risk assessment and cultural validation of the modified NUTRIC score in critically ill patients--A multicenter prospective cohort study. J Crit Care. 2017;37:45-9.
  • 6
    Sedlon P, Kamenik L, Skvaril J, Maly M, Taborsky M, Zavoral M. Comparison of the accuracy and correctness of mortality estimates for intensive care unit patients in internal clinics of the Czech Republic using APACHE II, APACHE IV, SAPS 3 and MPMoIII models. Med Glas (Zenica). 2016;13(2):82-9.
  • 7
    Metnitz PG, Moreno RP, Almeida E, Jordan B, Peter B, Campos RA, Iapichino G, Edbrooke D, Capuzzo M, Le Gall JR; SAPS 3 Investigators. SAPS 3--From evaluation of the patient to evaluation of the intensive care unit. Part 1: Objectives, methods and cohort description. Intensive Care Med. 2005;31(10):1336-44.
  • 8
    Silva Junior JM, Malbouisson LM, Nuevo HL, Barbosa LG, Marubyashi LY, Teixeira IC, et al. Applicability of the Simplified Acute Physiology Score (SAPS 3) in Brazilian hospitals. Rev Bras Anestesiol. 2010;60(1):20-31.
  • 9
    Mbongo CL, Monedero P, Guillen-Grima F, Yepes MJ, Vives M, Echarri G. Performance of SAPS3, compared with APACHE II and SOFA, to predict hospital mortality in a general ICU in Southern Europe. Eur J Anaesthesiol. 2009;26(11):940-5.
  • 10
    Kozeniecki M, Pitts H, Patel JJ. Barriers and solutions to delivery of intensive care unit nutrition therapy. Nutr Clin Pract. 2018;33(1):8-15.
  • 11
    de Vries MC, Koekkoek WK, Opdam MH, van Blokland D, van Zanten AR. Nutritional assessment of critically ill patients: validation of the modified NUTRIC score. Eur J Clin Nutr. 2018;72(3):428-35.
  • 12
    Becker T, Zanchim MC, Mognon A, Junior LRC, Cibulski TP, Correa JA, et al. Risco nutricional de pacientes críticos utilizando o NUTRIC Score. BRASPEN J. 2018;33(1):26-31.
  • 13
    Moreno RP, Metnitz PG, Almeida E, Jordan B, Bauer P, Campos RA, Iapichino G, Edbrooke D, Capuzzo M, Le Gall JR; SAPS 3 Investigators. SAPS 3--From evaluation of the patient to evaluation of the intensive care unit. Part 2: Development of a prognostic model for hospital mortality at ICU admission. Intensive Care Med. 2005;31(10):1345-55.
  • 14
    Ledoux D, Canivet JL, Preiser JC, Lefrancq J, Damas P. SAPS 3 admission score: an external validation in a general intensive care population. Intensive Care Med. 2008;34(10):1873-7.
  • 15
    Singer P, Blaser AR, Berger MM, Alhazzani W, Calder PC, Casaer MP, et al. ESPEN guideline on clinical nutrition in the intensive care unit. Clin Nutr. 2019;38(1):48-79.

Edited by

Responsible editor: Pedro Póvoa

Publication Dates

  • Publication in this collection
    25 Oct 2021
  • Date of issue
    Jul-Sep 2021

History

  • Received
    26 June 2020
  • Accepted
    29 Dec 2020
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