Preview

Nephrology and Dialysis

Advanced search

New opportunities for screening protein-energy wasting of haemodialysis patients

https://doi.org/10.28996/2618-9801-2019-2-243-249

Abstract

The aim of the study. To compare the effectiveness of screening techniques for protein-energy wasting (PEW) in haemodialysis patients (HD). Patients and methods. A total of 645 haemodialysis patients were examined (300 men, 345 women age 56.8±12.8 years. All patients received treatment HD for 8.4±5.3 years. The assessment of nutritional status in order to diagnose PEW was carried out using the method of the Russian Ministry of Health (RMH) and the method proposed by the International Society of Renal Nutrition and Metabolism (ISRNM). Malnutrition Universal Screening Tool (MUST), Nutritional Risk Screening (NRS), Nottingham screening tool (NST), Malnutrition Screening Tool (MST), Malnutrition-Inflammation Score (MIS) were used for screening PEW. Results. When diagnosing PEW by RMH method of screening MUST, NRS, NST, MST showed an index of diagnosis of PEW, not exceeding 36%, the index of accuracy of diagnosis of PEW using MIS was 53%. When diagnosing PEW by the ISRNM method, all screening methods showed an index of accuracy of the diagnosis of PEW in the range of 53-61%. In the diagnosis of PEW by the MR method, the screening technique of the PEW "MEGASCRIN" demonstrated a sensitivity of 92% with a specificity of 72.5%, the overall accuracy index was 76%. At the same time, when diagnosing PEW using the ISRNM method, the "MEGASCRIN" PEW screening method demonstrated a sensitivity of 71% with a specificity of 92.5%, an overall accuracy index of 81%. Conclusion. The screening technique of the "MEGASCRIN" PEW in haemodialysis patients demonstrated acceptable predictive value and can be recommended for routine use when screening PEW in haemodialysis patients, regardless of the method for diagnosing PEW in the future.

About the Authors

A. A. Jakovenko
Department of nephrology and dialysis Pavlov First Saint Petersburg State Medical University
Russian Federation


I. V. Lavrishcheva
Almazov National Medical Research Centre
Russian Federation


A. Sh. Rumyantsev
Department of Faculty therapy St. Petersburg University
Russian Federation


References

1. Mak R.H., Ikizler A.T., Kovesdy C.P. et al. Wasting in chronic kidney disease. J. Cachexia Sarcopenia Muscle. 2011; 2 (1): 9-25. DOI: 10.1007/s13539-011-0019-5.

2. Ruperto M., Sánchez-Muniz F.J., Barril G. Predictors of protein-energy wasting in haemodialysis patients: a cross-sectional study. J. Hum. Nutr. Diet. 2016; 29 (1): 38-47. Doi: 10.1111/jhn.12276.

3. Perez Vogt B., Costa Teixeira Caramori J. Are Nutritional Composed Scoring Systems and Protein-Energy Wasting Score Associated With Mortality in Maintenance Hemodialysis Patients? J. Ren Nutr. 2016; 26 (3):183-189. Doi: 10.1053/j.jrn.2015.11.003.

4. Kang S.S., Chang J.W., Park Y. Nutritional Status Predicts 10-Year Mortality in Patients with End-Stage Renal Disease on Hemodialysis. Nutrients. 2017; 9 (4): pii: E399. Doi: 10.3390/nu9040399.

5. Sabatino A., Regolisti G., Karupaiah T. et al. Protein-energy wasting and nutritional supplementation in patients with end-stage renal disease on hemodialysis. Clin. Nutr. 2017; 36 (3): 663-671. Doi: 10.1016/j.clnu.2016.06.007.

6. Ikizler T.A. A patient with CKD and poor nutritional status. Clin. J. Am. Soc. Nephrol. 2013; 8 (12): 2174-2182.

7. Gracia-Iguacel C., González-Parra E., Barril-Cuadrado G. et al. Defining protein-energy wasting syndrome in chronic kidney disease: prevalence and clinical implications. Nefrologia. 2014; 34 (4): 507-519. Doi: 10.3265/Nefrologia.pre2014.

8. Rodrigues J., Cuppari L., Campbell K.L., Avesani C.M. Nutritional assessment of elderly patients on dialysis: pitfalls and potentials for practice. Nephrol. Dial. Transplant. 2017; 32 (11): 1780-1789. Doi: 10.1093/ndt/gfw471.

9. Obi Y., Qader H., Kovesdy C.P., Kalantar-Zadeh K. Latest consensus and update on protein-energy wasting in chronic kidney disease. Curr. Opin. Clin. Nutr. Metab. Care. 2015; 18 (3): 254-262. Doi: 10.1097/MCO.0000000000000171.

10. Takahashi H., Inoue K., Shimizu K. et al. Comparison of Nutritional Risk Scores for Predicting Mortality in Japanese Chronic Hemodialysis Patients. J. Ren. Nutr. 2017; 27 (3): 201-206. Doi: 10.1053/j.jrn.2016.12.005.

11. Robin X., Turck N., Hainard A. et al. pROC: an open-source package for R and S+ to analyze and compare ROC curves. BMC Bioinformatics. 2011; 12: 77. Doi: 10.1186/1471-2105-12-77.

12. Riegelman R. К., Rinke M.L. Studying A Study and Testing a Test: Reading Evidence-based Health Research (6th ed.). (2013). Philadelphia: LippincoH/William & Wilkins. - 340p.


Review

For citations:


Jakovenko A.A., Lavrishcheva I.V., Rumyantsev A.Sh. New opportunities for screening protein-energy wasting of haemodialysis patients. Nephrology and Dialysis. 2019;21(2):243-249. (In Russ.) https://doi.org/10.28996/2618-9801-2019-2-243-249

Views: 55


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


ISSN 1680-4422 (Print)
ISSN 2618-9801 (Online)