Studi komparasi beberapa metode skrining penilaian status gizi pada pasien dewasa rawat inap rumah sakit

https://doi.org/10.22146/ijcn.22066

Rizki Andini(1), Susetyowati Susetyowati(2*), Dian Caturini Sulistyoningrum(3)

(1) Departemen Gizi Kesehatan, Fakultas Kedokteran Universitas Gadjah Mada
(2) Departemen Gizi Kesehatan, Fakultas Kedokteran Universitas Gadjah Mada
(3) Departemen Gizi Kesehatan, Fakultas Kedokteran Universitas Gadjah Mada
(*) Corresponding Author

Abstract


Background: It is necessary to diagnose level of malnutrition in hospitalized patient to give optimal nutrition support. Many different nutrition screening assessment have been developed. In Indonesia, Simple Nutrition Screening Tool (SNST) that had been used in same hospital and the result was good enough in validity-realibility.

Objective: To assessed that SNST were simple and practical nutrition screening tool for detecting level of malnutrition in different type of hospitalized patient.

Method: Observational cross-sectional design with total of sampling two hundred and eighty seven adult patients from 2nd and 3rd class of surgical, internal, or neurology ward of RSUD Sleman. Independent variables are SNST, Nutritional Risk Screening (NRS) 2002, Malnutrition Screening Tool (MST), and Malnutrition Universal Screening Tool (MUST). Dependent variables are Subjective Global Assessment (SGA), body mass index (BMI), mid upper arm circumference (MUAC), and hemoglobin (Hb). Receive Operating Curve (ROC) were used for measuring validity of each screening tools. The proportion difference between at-risk group and not at-risk group was assessed by Chi-square test. The mean difference of BMI, MUAC, and Hb between both of group was assessed by independent sample t-test.

Results: SNST has highest validity compared to NRS-2002, MST, and MUST with Sensitivity 99,0%, Specificity 84,5 and Area Under Curve (AUC) 0,917. Based on SNST, the proportion difference of at-risk group and not at-risk group between surgical patients and internal-neurology patients was statistically significant (p<0,05); the proportion difference of at-risk group and not at-risk group between young adult, adult, and elderly patients was statistically significant (p<0,05); the mean difference of BMI, MUAC, and Hb between at-risk group and not at-risk group was also statistically significant (p<0,05).

Conclusion: All of the nutrition screening tools can be used as predictor of malnutrition in hospitalized patients but, the SNST has the best validity as a nutrition screening to predict malnutrition.


Keywords


hospital; malnutrition; nutrition screening tool; validity

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References

  1. Correia MITD, Campos ACL. Prevalence of hospital malnutrition in Latin America: the multicenter ELAN study. Nutrition 2003;19(10):823-825.
  2. Pirlich M, Schutz T, Norman K, Gastell S, Lübke HJ, Lochs H, et al. The German hospital malnutrition study. Clin Nutr 2006;25:563-572.
  3. Burgos R, Sarto B, Ello I, Planas M, Forga M, Salas-Salvadó J, et al. Prevalence of malnutrition and its etiological factors in hospitals. Nutr Hosp 2012;27(2):469-76.
  4. Stroud M, Duncan H, Nightingale J. Guideline for enteral feeding in adult hospital patients. Gut 2003;52(VII):1-12.
  5. Kruizenga HM, Seidell JC, de Vet HCW, Wierdsma NJ, van Bokhorst-de van der Schueren MAE. Development and validation of a hospital screening tool for malnutrition: the short nutritional assessment questionnaire (SNAQ). Clin Nutr 2005;24:75-82.
  6. Powell-Tuck J, Hennessy EM. A comparison of mid upper arm circumference, body mass index and weight loss as indices of undernutrition in acutely hospitalized patients. Clin Nutr 2003;22(3):307-312.
  7. Weekes CE, Elia M, Emery PW. The development, validation and reliability of a nutrition screening tool based on the recommendations of the British Association for Parenteral and Enteral Nutrition (BAPEN). Clin Nutr 2004;23(5):1104-12.
  8. Kondrup J, Allison SP, Elia M, Vellas B, Plaut M. ESPEN guidelines for nutrition screening 2002. Clin Nutr 2003;22(4):415-21.
  9. Malnutrition Advisory Group. The ‘MUST’ explanatory booklet: a guide to the malnutrition universal screening tool (MUST) for adults. Worcs: BAPEN Office; 2003.
  10. Susetyowati, Hadi H, Hakimi M, Asdie AH. Penembangan metode skrining gizi untuk pasien dewasa rawat inap. Jurnal Gizi Klinik Indonesia 2012;8(4):188-94.
  11. Susetyowati, Hadi H, Hakimi M, Asdie AH. Development, validation, and reliability of the simple nutrition screening tool (SNST) for adult hospital patient in Indonesia. Paki J Nut 2014;13(3):157-63.
  12. Gibson RS. Principles of nutritional assessment, 2nd edition. New York: Oxford University Press; 2005.
  13. Salvino RM, Dechicco RS, Seidner DL. Perioperative nutrition support: who and how – review. Cleve Clin J Med 2004;71(4):345-51.
  14. Hurlock EB. Developmental psychology: a life-span approach (29th reprint). New Delhi: Tata McGraw Hill Companies; 2003.
  15. Zhu W, Zeng N, Wang N. Sensitivity, specificity, accuracy, associated confidence interval and ROS analysis with practical SAS® implementation. Northeast SAS User Group Proceedings (NESUG) Health Care and Life Sciences. Baltimore, Maryland, 14-17 November 2010.
  16. Van Bokhorst-de van der Schueren MAE, Guaitoli PR, Jansma E, de Vet HCW. Nutrition screening tools: does one size fit all? a systematic review of screening tools for the hospital setting. Clin Nutr 2014;33(1):39-58.
  17. Zou KH, O’Malley AJ, Mauri L. Receiver-operating characteristic analysis for evaluating diagnostic tests and predictive models. Circulation 2007;115:654-7.
  18. Waitzberg DL, Caiaffa WT, Correia, MITD. Hospital malnutrition: The Brazilian National Survey (IBRANUTRI): a study of 4000 patients. Nutrition 2001;17:573-580.
  19. Velasco C, Garcia E, Rodriguez V, Frias L, Garriga R, Leon M, et al. Comparison of four nutritional screening tools to detect nutritional risk in hospitalized patients – a multicentre study. Eur J Clin Nutr 2011;65(2):269-74.
  20. Barker LA, Gout BISA, Crowe TC. Hospital malnutrition: prevalence, identification and impact on patients and the healthcare system. Int J Environ Res Public Health 2010;8:514-27.
  21. Neelemaat F, Meijers J, Kruizenga H, Van Ballegooijen H, Van Bokhorst-de Van der Schueren M. Comparison of five malnutrition screening tools in one hospital inpatient sample. J Clin Nurs 2011;20(15-16):2144-52.
  22. Harris D, Haboubi N. Malnutrition screening in the elderly population. J R Soc Med 2005;98(9):411-4.
  23. Anjankar SP. Comparison of haemoglobin percentage and nutritional status of post graduate girl students residing in hostel, rented rooms, and home. Bioscience Discovery 2012;3(2):243-50.
  24. Sharma R, Francis DP, Pitt B, Poole-Wilson PA, Coats AJ, Anker SD. Haemoglobin predicts survival in patients with chronic heart failure: a substudy of the ELITE II trial. Eur Heart J 2004;25(12):1021-8.



DOI: https://doi.org/10.22146/ijcn.22066

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