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Survival analysis for older and frail patients starting dialysis and external validation of the REIN scale

https://doi.org/10.28996/2618-9801-2018-4-357-365

Abstract

Aim: many old and frail patients with CKD reveal significant comorbidity, although progress to the stage 5 for a more prolonged period. This ambiguity makes the decisions concerning dialysis start in these patients rather subjective. By the time of dialysis start, decision-taking the worsening of patient`s somatic and mental condition can arise the question about reasonableness of renal replacement therapy considering nearest prognosis. The scale system REIN has been proposed for short-term prognosis for older patients starting dialysis. Methods: we performed the external validation of the REIN scale in unselected Russian population from city renal replacement therapy register. Results: up to score 11 actual mortality coincided with predicted by REIN. We found rapid growth of mortality with further elevation of the scale up to score 18 where the mortality was 100%. The survival in groups with scale below 12, with 12-16 and >16 dramatically diverged, but predicted risks for score 6 and 11 were higher than actual mortality in our group with scores up to 11, while for others the survival was significantly lower than predicted. C-statistic in ROC analysis was 0.793 (95%CI 0.692-0.894). Three-month mortality in low-risk group (score <12) was 4.4%, in medium risk group (12-16) it was 42.9%, in high risk group (>16) it was 100%. Conclusion: REIN scale is a useful tool for the perspective of treatment evaluation in older and frail patients; it can help in decision-making while starting dialysis or refusal of renal replacement therapy in favor of comprehensive conservative treatment. Perhaps, additional factors should be included in model to improve its prognostic value.

About the Authors

A. Yu. Zemchenkov
City Mariinsky hospital; I.I. Mechnikov North-West State medical university; I.P. Pavlov First St.-Petersburg State medical university
Russian Federation


A. B. Sabodash
I.P. Pavlov First St.-Petersburg State medical university
Russian Federation


A. M. Omelchenko
City Mariinsky hospital
Russian Federation


N. N. Kulaeva
I.I. Mechnikov North-West State medical university
Russian Federation


D. S. Sadovskaya
City Mariinsky hospital
Russian Federation


A. Sh. Rumyantsev
I.P. Pavlov First St.-Petersburg State medical university; Saint-Petersburg state University
Russian Federation


References

1. Строков АГ, Гуревич КЯ, Ильин АП и соавт. Лечение пациентов с хронической болезнью почек 5 стадии (ХБП 5) методами гемодиализа и гемодиафильтрации. Клинические рекомендации. Нефрология. 2017; 21(3):92-111.

2. Земченков А.Ю., Герасимчук Р.П., Сабодаш А.Б. и соавт. Определение сроков начала гемодиализа: разработка и подтверждение шкалы START. Вестник трансплантологии и искусственных органов. 2018;20(2):47-60. doi.org/10.15825/1995-1191-2018-2-47-60.

3. O'Hare AM, Wong SP, Yu MK et al. Trends in the Timing and Clinical Context of Maintenance Dialysis Initiation. J Am Soc Nephrol. 2015;26(8):1975-81. doi: 10.1681/ASN.2013050531.

4. Higuchi S, Nakaya I, Yoshikawa K et al. Potential Benefit Associated With Delaying Initiation of Hemodialysis in a Japanese Cohort. Kidney Int Reports. 2017; 2(4):594-602. doi:10.1016/j.ekir.2017.01.015.

5. Susantitaphong P, Altamimi S, Ashkar M et al. GFR at initiation of dialysis and mortality in CKD: A meta-analysis. Am J Kidney Dis. 2012; 59(6): 829-840. doi: 10.1053/j.ajkd.2012.01.015.

6. Lin X, Zeng XZ, Ai J. The Glomerular Filtration Rate (GFR) at Dialysis Initiation and Mortality in Chronic Kidney Disease (CKD) in East Asian Populations: A Meta-analysis. Intern Med. 2016;55(21):3097-3104. doi: 10.2169/internalmedicine.55.6520.

7. Sood MM, Manns B, Dart A et al; Canadian Kidney Knowledge Translation and Generation Network (CANN-NET). Variation in the level of eGFR at dialysis initiation across dialysis facilities and geographic regions. Clin J Am Soc Nephrol. 2014; 9(10): 1747-1756. doi: 10.2215/CJN.12321213.

8. Farrington K, Covic A, Aucella F et al; ERBP guideline development group. Clinical Practice Guideline on management of older patients with chronic kidney disease stage 3b or higher (eGFR №45 mL/min/1.73 m²). Nephrol Dial Transplant. 2016;31(suppl 2):ii1-ii66. doi: 10.1093/ndt/gfw356

9. Клинические рекомендации по лечению пожилых пациентов с хронической болезнью почек стадии 3Б и выше (рСКФ №45 мл/мин/1,73 м²). Перевод с англ. Нефрология и диализ. 2017; 19(1):207-220. doi:10.28996/1680-4422-2017-1-207-220.

10. Земченков А.Ю. Использование балльных шкал, предложенных в Клинических рекомендациях European Renal Best Practice для оценки прогноза у пожилых и ослабленных пациентов на поздних стадиях ХБП. Нефрология и диализ, 2017. 19(1): 221-225.

11. Tangri N, Stevens LA, Griffith J et al. A predictive model for progression of chronic kidney disease to kidney failure. JAMA 2011;305(15):1553-9. doi: 10.1001/jama.2011.451.

12. Tangri N, Grams ME, Levey AS et al. Multinational Assessment of Accuracy of Equations for Predicting Risk of Kidney Failure: A Meta-analysis. JAMA. 2016;315(2):164-74. doi: 10.1001/jama.2015.18202.

13. Bansal N., Katz R., De Boer I.H. et al. Development and validation of a model to predict 5-year risk of death without ESRD among older adults with CKD. Clin J Am Soc Nephrol. 2015;10(3):363-71. doi: 10.2215/CJN.04650514.

14. Couchoud C.G., Beuscart J.B., Aldigier J.C et al. Development of a risk stratification algorithm to improve patientcentered care and decision making for incident elderly patients with end-stage renal disease. Kidney Int. 2015;88(5):1178-86. doi: 10.1038/ki.2015.245.

15. Земченков А.Ю. Вишневский К.А. Сабодаш А.Б. и соавт. Сроки начала и другие факторы на старте диализа, влияющие на выживаемость: Санкт-Петербургский регистр пациентов на заместительной почечной терапии. Нефрология и диализ, 2017; 19(2): 255-270.

16. Floege J, Gillespie IA, Kronenberg F et al. Development and validation of a predictive mortality risk score from a European hemodialysis cohort. Kidney Int. 2015;87(5):996-1008. doi: 10.1038/ki.2014.419.

17. Peeters P, Van Biesen W, Veys N et al. External Validation of a risk stratification model to assist shared decision making for patients starting renal replacement therapy. BMC Nephrol. 2016; 17:41. doi: 10.1186/s12882-016-0253-3.

18. Murphy E, Germain MJ, Cairns H et al. International variation in classification of dialysis withdrawal: a systematic review. Nephrol Dial Transplant. 2014 Mar;29(3):625-35. doi: 10.1093/ndt/gft458.

19. Reindl-Schwaighofer R, Kainz A, Kammer M et al. Survival analysis of conservative vs. dialysis treatment of elderly patients with CKD stage 5. PLoS One. 2017;12(7):e0181345. doi: 10.1371/journal.pone.0181345.

20. van Loon IN, Goto NA, Boereboom FTJ et al. Frailty Screening Tools for Elderly Patients Incident to Dialysis. Clin J Am Soc Nephrol. 2017;12(9):1480-1488. doi: 10.2215/CJN.11801116.

21. Winterbottom AE, Gavaruzzi T, Mooney A et al. Patient Acceptability of the Yorkshire Dialysis Decision Aid (YoDDA) Booklet: A Prospective Non-Randomized Comparison Study Across 6 Predialysis Services. Perit Dial Int. 2016;36(4):374-81. doi: 10.3747/pdi.2014.00274.

22. Bikbov B, Bieber B, Andrusev A et al. Hemodialysis practice patterns in the Russia Dialysis Outcomes and Practice Patterns Study (DOPPS), with international comparisons. Hemodial Int. 2017;21(3):393-408. doi: 10.1111/hdi.12503.


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For citations:


Zemchenkov A.Yu., Sabodash A.B., Omelchenko A.M., Kulaeva N.N., Sadovskaya D.S., Rumyantsev A.Sh. Survival analysis for older and frail patients starting dialysis and external validation of the REIN scale. Nephrology and Dialysis. 2018;20(4):357-365. (In Russ.) https://doi.org/10.28996/2618-9801-2018-4-357-365

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