Evaluation of the nutritional prognosis index associated with disease severity, comorbidities, laboratory test results, and clinical outcome in patients infected with COVID-19
Keywords:
COVID-19, Death, Disease severity, Nutritional prognostic indexAbstract
Objective
The COVID-19 has resulted in a global pandemic, and markers for disease prognosis have been studied, such as the Prognostic Nutritional Index. This study aimed to evaluate the associations of the index with disease severity, comorbidities, laboratory test results, and clinical outcomes.
Methods
This retrospective, cross-sectional study was conducted with patients with a positive SARS-CoV RNA result from 2020 to 2022. Measures were Prognostic Nutritional Index, disease severity, comorbidities, laboratory tests, and clinical outcome. Prognostic Nutritional Index was calculated using the equation: serum albumin [g/dL] x 10 + total lymphocyte count [per mm3 x 0,005). Participants were categorized into severe malnutrition (PNI <35), mild malnutrition (PNI 35-38), and no malnutrition (>38).
Results
The sample (53% male) had a mean age of 56.77±17.42 years. Among those classified as Prognostic Nutritional Index 2, only 23.4% were discharged from the hospital, which was associated with higher mortality (p<0.01). PNI classification was associated with disease severity (p=0.01), and the highest proportion of critically ill patients was found in the PNI 2 group (60%). PNI 2 also evidenced
significantly lower levels of hemoglobin, hematocrit, lymphocytes, and albumin (all with p<0.01). In the multivariate analysis, Prognostic Nutritional Index 1 and Prognostic Nutritional Index 2 groups had a higher risk of mortality (OR: 2.54; 95% CI: 1.73-3.72) and cardiomyopathies (OR: 1.92; 95% CI: 1.00-3.69).
Conclusion
The results suggest that Prognostic Nutritional Index may be a relevant marker for risk stratification in COVID-19 patients, with Prognostic Nutritional Index levels 1 and 2 proportionally associated with greater disease severity and mortality.
Downloads
References
1. Ali N. Elevated level of C-reactive protein may be an early marker to predict risk for severity of COVID-19. J Med Virol. 2020;92(11):2409-11. doi: https://doi.org/10.1002/jmv.26097
2. Del Valle DM, Kim-Schulze S, Huang HH, Beckmann ND, Nirenberg S, Wang B, et al. An inflammatory cytokine signature predicts COVID-19 severity and survival. Nat Med. 2020;26(10):1636-43. doi: https://doi.org/10.1038/s41591-020-1051-9
3. Ghahramani S, Tabrizi R, Lankarani KB, Kashani SMA, Rezaei S, Zeidiet N, et al. Laboratory features of severe vs. non-severe COVID-19 patients in Asian populations: a systematic review and meta-analysis. Eur J Med Res. 2020;25(1):30. doi: https://doi.org/10.1186/s40001-020-00432-3
4. Hung K-C, Ko C-C, Wang L-K, Liu P-H, Chen I-W, Huang Y-T, et al. Association of prognostic nutritional index with severity and mortality of hospitalized patients with COVID-19: a systematic review and metaanalysis. Diagnostics. 2022;12(7):1515. doi: https://doi.org/10.3390/diagnostics12071515
5. Souto, MD, Xavier DEF, Dourado KF, Moura MWS, Aguiar GB, Andrade MIS, et al. Níveis de albumina sérica e o desfecho de pacientes internados com COVID-19 no estado de Pernambuco: serum albumin levels and the outcome of patients hospitalized with COVID-19 in the state of Pernambuco. Braz J Develop. 2022;8(9):64929-47. doi: https://doi.org/10.34117/bjdv8n9-300
6. Arslan K, Bas S. A relação entre o índice nutricional prognóstico e o curso clínico da COVID-19: uma experiência de centro único. J Med Palliat Care. 2022;3(2):92-7.
7. Wei W, Wu X, Jin C, Mu T, Gu G, Min M, et al. Predictive significance of the Prognostic Nutritional Index (PNI) in Patients with Severe COVID-19. J Immunol Res. 2021;2021:11. doi: https://doi.org/10.1155/2021/9917302
8. Al-Shami I, Al Hourani HM, Alkhatib B. The use of prognostic nutritional index (PNI) and selected inflammatory indicators for predicting malnutrition in COVID-19 patients: a retrospective study. J Infect Public Health. 2023;16(2):280-5. doi: https://doi.org/10.1016/j.jiph.2022.12.018
9. Wang R, He M, Ying W, Liao X, Wang B, Jin X, et al. The Prognostic Nutritional Index is associated with mortality of COVID-19 patients in Wuhan, China. J Clin Lab Anal. 2020;34(10);e23566. doi: https://doi.org/10.1002/jcla.23566
10. Chen MY, Wen JX, Lu MT, Xiang-Yu J, Wan X-L, Xu, Z-W, et al. Association between prognostic nutritional index and prognosis in patients with heart failure: a meta-analysis. Front Vasc Med. 2022;10(9):e918566. doi: https://doi.org/10.3389/fcvm.2022.918566
11. Bilge M, Akill IK, Karaayvaz EB, Yesilova A, Yasar KK. Comparison of systemic immune-inflammation index (SII), early warning score (ANDC) and prognostic nutritional index (PNI) in hospitalized patients with malignancy, and their influence on mortality from COVID-19. Infect Agent Cancer. 2021;16:1-7.
12. Karimi A, Shobeiri P, Kulasinghe A, Rezaei N. Novel Systemic Inflammation Markers to Predict COVID-19 Prognosis. Front Immunol. 2021;12. doi: https://doi.org/10.3389/fimmu.2021.741061
13. von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP, et al. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Int J Surg. 2014;12(12):1495-9. doi: https://doi.org/10.1016/j.ijsu.2014.07.013
14. Narumi T, Arimoto T, Funayama A, Miyamoto T, Watanabe T, Kubotaet I, et al. The prognostic importance of objective nutritional indexes in patients with chronic heart failure. J Cardiol. 2013;62(5):307-13. doi: https://doi.org/10.1016/j.jjcc.2013.05.007
15. Buzby GP, Mulle JL, Matthews DC, Hobbs CL, Rosato EF. Prognostic nutritional index in gastrointestinal surgery. Am J Surg. 139(1):160-7. doi: https://doi.org/10.1016/0002-9610(80)90246-9
16. Onodera T, Goseki N, Kosaki G. Prognostic nutritional index in gastrointestinal surgery of malnourished cancer patients. Nihon Geka Gakkai Zasshi. 1984;85(9):1001-5.
17. World Health Organization. Clinical Management of COVID-19. Interim Guidance. Geneve: WHO; 2020 [cited 2020 May 27]. Available from: https://iris.who.int/bitstream/handle/10665/332196/WHO-2019-nCoV-clinical-2020.5-eng.pdf?sequence=1&isAllowed=y
18. Takechi H, Fujikuni N, Tanabe K, Hattori M, Amano H, Noriyuki T, et al. Using the preoperative prognostic nutritional index as a predictive factor for non-cancer-related death in post-curative resection gastric cancer patients: a retrospective cohort study. BMC Gastroenterol. 2020;20:256. doi: https://doi.org/10.1186/s12876-020-01402-z
19. Queiroz BGS, Santos ACO, Silva FNBS, Arruda AM, Alves JFN, Cavalcante TCF, et al. Índice prognóstico nutricional como marcador em pacientes cirúrgicos cardíacos: uma revisão sistemática. Res Soc Dev. 2022;11(9):e50611932106.
20. Miyasato Y, Hanna RM, Morinaga J, Mukoyama M, Kalantar-Zadeh K. Prognostic nutritional index as a predictor of mortality in 101,616 patients undergoing hemodialysis. Nutrients. 2023;15(2):311. doi: https://doi.org/10.3390/nu15020311
21. Wang D, Hu X, Xiao L, Long G, Yao L, Wang Z, et al. Prognostic nutritional index and systemic immuneinflammation index predict the prognosis of patients with HCC. J Gastrointest Surg. 2021;25(2):421-7. doi:https://doi.org/10.1007/s11605-019-04492-7
22. Kaku M, Ando S, Ono H, Koga Y. Efficacy of the prognostic nutritional index (PNI) in critically ill COVID-19 patients: a multicenter study under a treatment regime in accordance with practice guidelines. Clin Nutr Open Sci. 2024;57:88-98. https://doi.org/10.1016/j.nutos.2024.07.011
23. Rashedi S, Keykhaei M, Pazoki M, Ashraf H, et al. Clinical significance of prognostic nutrition index in hospitalized patients with COVID-19: results from single-center experience with systematic review and meta-analysis. Nutr Clin Pract. 2021;36:970-83. doi: https://doi.org/10.1002/ncp.10750
24. Channappanavar R, Perlman S. Pathogenic human coronavirus infections: causes and consequences of cytokine storm and immunopathology. Semin Immunopathol. 2017;39(5):529-39.
25. Tan L, Wang Q, Zhang D, Ding J, Huang Q, Tang YQ, et al. Lymphopenia predicts disease severity of COVID-19: a descriptive and predictive study. Signal Transduct Target Ther. 2020;5(1):33. doi: https://doi.org/10.1038/s41392-020-0148-4
26. Kalpakci Y, Hacibekiroglu T, Trak G, Karacaer C, Demirci T, Kocayigit H, et al. Comparative evaluation of memory T cells in COVID-19 patients and the predictive role of CD4+CD8+ double positive T lymphocytes as a new marker. Rev Assoc Med Bras. 2020;66(12):1666-72.
27. Rabbani G, Ahn SN. Review: roles of human serum albumin in prediction, diagnoses and treatment of COVID-19. Int J Biol Macromol. 2021;193(PtA):948-55. doi: https://doi.org/10.1016/j.ijbiomac.2021.10.095
28. Li X, Xu S, Yu M, Xie U, Xie M, Zhao I, et al. Risk factors for severity and mortality in adult COVID-19 inpatients in Wuhan. J Allergy Clin Immunol. 2020;146(1):110-8. doi: https://doi.org/10.1016/j.jaci.2020.04.006
29. Wang Z-H, Lin, Y-W, Wei X-B, Li F, Liao X-L, Yuan H-Q, et al. Predictive Value of Prognostic Nutritional Index on COVID-19 Severity. Front Nutr. 2021;7:582736. doi: https://doi.org/10.3389/fnut.2020.582736
30. Kowsar R, Rahimi AM, Sroka M, Mansouri A, Sadeghi K, Bonakdaret E, et al. Risk of mortality in COVID-19 patients: a meta- and network analysis. Sci Rep. 2023;13(1):2138. doi: https://doi.org/10.1038/s41598-023-29364-8
31. Nascimento JHP, Costa RL, Simvoulidis LFN, Pinho JC, Pereira RS, Porto AD, et al. COVID-19 e injúria miocárdica em UTI Brasileira: alta incidência e maior risco de mortalidade intra-hospitalar. Arq Bras Cardiol. 2021;116 (2). doi: https://doi.org/10.36660/abc.20200671
32. Alqahtani JS, Oyelade T, Aldhahir AM, Alghamdi SM, Almehmadi M, Alqahtani AS, et al. Prevalence, severity and mortality associated with COPD and smoking in patients with COVID-19: a rapid systematic review and meta-analysis. Plos One. 2020;15(5):e0233147. doi: https://doi.org/10.1371/journal.pone.0233147
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Vinicius Camilo Silva de Alencar, Rozangela Maria de Almeida Fernandes Wyszomirska, Aryana Isabelle de Almeida Neves Siqueira, Josué de Oliveira Leitão, Layane Victoria Ananias da Silva, Leonardo Martins Aboim Inglês

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






