Predicting 28–Day Sepsis Mortality: A Comparison Between mNUTRIC and APACHE II
Abstract
Introduction: Sepsis with malnutrition increases complications and mortality in ICU patients. The modified Nutrition Risk in Critically Ill (mNUTRIC) score assesses nutritional risk and predicts mortality, whereas APACHE II does not account for nutritional status. This study compared mNUTRIC and APACHE II for predicting 28–day mortality in ICU patients with sepsis.
Methods: This prospective observational study was conducted from February to April 2024. Sepsis patients admitted during the study period were included. Discriminatory performance for predicting 28–day mortality was evaluated using the area under the receiver operating characteristic curve (AUROC). Comparison between scoring systems was performed using DeLong’s non–parametric test.
Results: A total of 39 ICU patients were included. The mean mNUTRIC score was 4.44±2.23, and the mean APACHE II score was 17.59±5.28. The AUROC value was 0.825 for the mNUTRIC score and 0.789 for the APACHE II score. DeLong’s test showed that the mNUTRIC score had significantly better discrimination for predicting 28–day mortality than the APACHE II score (p=0.011).
Discussion: mNUTRIC integrates nutritional and chronic health factors, capturing patients’ physiological reserve more comprehensively than APACHE II. Early identification of high–risk patients may guide targeted interventions and ICU resource allocation.
Conclusion: The mNUTRIC score demonstrated superior discriminatory ability compared to the APACHE II score in predicting mortality among sepsis patients in the ICU. Incorporating nutritional risk assessment may improve mortality prediction and clinical decision–making in critically ill sepsis patients.
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- Gyawali B, Ramakrishna K, Dhamoon AS. Sepsis: the evolution in definition, pathophysiology, and management. SAGE Open Med. 2019;7:2050312119835043. doi:10.1177/2050312119835043
- Kosałka K, Wachowska E, Słotwiński R. Disorders of nutritional status in sepsis–facts and myths. Prz Gastroenterol. 2017;12(2):73–82. doi:10.5114/pg.2017.68165
- Reber E, Gomes F, Vasiloglou MF, Schuetz P, Stanga Z. Nutritional risk screening and assessment. J Clin Med. 2019;8(7):1065. doi:10.3390/jcm8071065
- Lee J, Dubin JA, Maslove DM. Mortality prediction in the ICU. In: secondary analysis of electronic health records. Cham: Springer International Publishing; 2016. p. 315–24
- Choi MH, Kim D, Choi EJ, Jung YJ, Choi YJ, Cho JH, et al. Mortality prediction of patients in intensive care units using machine learning algorithms based on electronic health records. Sci Rep. 2022;12(1):1–12. doi:10.1038/s41598‑022‑11226‑4
- 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. doi:10.1016/j.clnu.2015.01.003
- Utami RCB, Zulkifli, Zainal R, Saleh MI. Korelasi modified nutric score dengan mortalitas 28 hari pasien sepsis di unit perawatan intensif rsup Dr. Mohammad Hoesin Palembang. J Anestesi Perioperatif. 2020;8(1):1–8. doi:10.15851/jap.v8n1.1980
- Hai PD, Hoa LT. Prognostic accuracy of MUNTRIC, APACHE II, SOFA, and SAPS 2 scores for mortality prediction in patients with sepsis. Crit Care Res Pract. 2022;2022:1–7. doi:10.1155/2022/4666594
- Mahmoodpoor A, Sanaie S, Sarfaraz T, Shadvar K, Fattahi V, Hamishekar H, et al. Prognostic values of modified nutric score to assess outcomes in critically ill patients admitted to the intensive care units: prospective observational study. BMC Anesthesiol. 2023;23(1):1–9. doi:10.1186/s12871‑023‑02086‑0
- Jeong DH, Hong SB, Lim CM, Koh Y, Seo J, Kim Y, et al. Comparison of accuracy of nutric and modified nutric scores in predicting 28‑day mortality in patients with sepsis: a single‑center retrospective study. Nutrients. 2018;10(7):911. doi:10.3390/nu10070911
- Mukhopadhyay A, Henry J, Ong V, Leong CSF, Teh AL, van Dam RM, et al. Association of modified nutric score with 28‑day mortality in critically ill patients. Clin Nutr. 2017;36(4):1143–49. doi:10.1016/j.clnu.2016.10.019
- Ibrahim DA, Elkabarity RH, Moustafa ME, El‑Gendy HA. Modified nutric score and outcomes in critically ill patients: a meta‑analysis. Egypt J Anaesth. 2020;36(1):15–22. doi:10.1080/11101849.2020.1848240
- Wełna M, Adamik B, Kübler A, Goździk W. The nutric score as a tool to predict mortality and increased resource utilization in intensive care patients with sepsis. Nutrients. 2023;15(7):1648. doi:10.3390/nu15071648
- Moubarez DA. The modified NutriScore as a predictor of 28‑day mortality in patients with sepsis. Res Opin Anesth Intensive Care. 2023;10(4):123–8. doi:10.4103/roaic.roaic_28_23
- Pham Dang H, Le Thi Viet H. The prognostic accuracy evaluation of mnutric, apache ii, sofa, and saps 2 scores for mortality prediction in patients with sepsis. 2022. doi: 10.1155/2022/4666594
- Mehta P, Patil S. Comparative study to evaluate use of apache ii and sofa score in sepsis patients in intensive care unit of a tertiary level hospital in western maharashtra. Int J Health Sci (Qassim). 2022;16(2):30–6. doi:10.52403/ijhs20220205
- Shukeri WFWM, Saeed S, Ralib AM, Mat‑Nor MB. Validation of the 28‑day mortality prognostic performance of the modified nutrition risk in critically ill (mnutric) score in a malaysian intensive care unit. Malays J Nutr. 2019;25(3):315–24. doi:10.31246/mjn‑2019‑0074
- Majari K, Imani H, Hosseini S, Amirsavadkouhi A, Ardehali SH, Khalooeifard R. Comparison of modified nutric, nrs‑2002, and must scores in iranian critically ill patients admitted to intensive care units: a prospective cohort study. JPEN J Parenter Enteral Nutr. 2021;45(7):1407–17. doi:10.1002/jpen.2068
- Barhorst S, Prior RM, Kanter D. Implementation of a best‑practice guideline: early enteral nutrition in a neuroscience intensive care unit. J Parenter Enteral Nutr. 2023;47(1):87–91. doi:10.1002/jpen.2411
- Mendes R, Policarpo S, Fortuna P, Alves M, Virella D, Heyland DK. 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. doi:10.1016/j.jcrc.2016.09.016
- Wang J, He L, Jin Z, Lu G, Yu S, Hu L, et al. Immune dysfunction‑associated elevated rdw, apache‑ii, and sofa scores were a possible cause of 28‑day mortality in sepsis patients. Infect Drug Resist. 2024;17:1199–1213. doi:10.2147/IDR.S410552
- Sadaka F, Ethmane AbouElMaali C, Cytron MA, Fowler K, Javaux VM, O’Brien J. Predicting mortality of patients with sepsis: a comparison of apache ii and apache iii scoring systems. J Clin Med Res. 2017;9(11):907–14. doi:10.14740/jocmr3165w
- Abugroun A, Nayyar A, Abdel‑Rahman M, Patel P. Impact of malnutrition on hospitalization outcomes for older adults admitted for sepsis. Am J Med. 2021;134(2):e123–30. doi:10.1016/j.amjmed.2020.07.024
- Lew CCH, Yandell R, Fraser RJL, Chua AP, Chong MFF, Miller M. Association between malnutrition and clinical outcomes in the intensive care unit: a systematic review. J Parenter Enteral Nutr. 2017;41(5):744–58. doi:10.1177/0148607116648829
- Chancharoenthana W, Kamolratanakul S, Schultz MJ, Leelahavanichkul A. The leaky gut and the gut microbiome in sepsis–targets in research and treatment. Clin Sci (Lond). 2023;137(8):645–62. doi:10.1042/CS20220929
- Arnau‑Barrés I, Güerri‑Fernández R, Luque S, Sorli L, Vázquez O, Miralles R. Serum albumin is a strong predictor of sepsis outcome in elderly patients. Eur J Clin Microbiol Infect Dis. 2019;38(4):689–96. doi:10.1007/s10096‑019‑03478‑2
DOI: https://doi.org/10.15851/jap.v14n1.4027
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