Survival Analysis of Chronic Kidney Disease Patients with Hemodialysis in West Java. Indonesia, Year 2007 - 2018

Afiatin Afiatin, Dwi Agustian, Kurnia Wahyudi, Pandu Riono, Rully M. A. Roesli

Abstract


The prevalence of chronic kidney disease on dialysis or CKD5D is increasing with a significant impact on disease burden in many countries. Patients are usually listed in the national renal registries, which report demographic data, incidence, prevalence, and outcome. The survival rate is an important outcome measure to characterize the impact of treatment in the CKD5 patient population in the national and international renal registries. Indonesian Society of Nephrology (InaSN) has the Indonesian Renal Registry program to collect data that was endorsed to monitor dialysis treatment quality in Indonesia.  IRR releases an annual report, but there is no survival analysis yet.   This study aimed to discover the five-year survival rate of CKD5D patients in West Java between 2007–2018 and its factor based on the IRR database. A retrospective cohort study was performed by gaining all patients' data from the IRR database, then data on all of the patients from West Java province who completed a 5-year follow-up on December 31, 2018.  Kaplan-Meier analysis and Cox proportional hazard's model were used to analyze the risk factors. There were 3,199 data included in this study. In total, the 1, 2, 3, 4, and 5 year survival rates are 82%, 70%, 62%, 58%, and 55 %, respectively.  Patients whose age is above 55 years and with unknown underlying kidney disease have a worse survival rate with a hazard ratio of 1.28 and 1.50, respectively. Further exploration of IRR data will provide better information on dialysis treatment in Indonesia.

 

Ketahanan Hidup Pasien Penyakit Ginjal Kronis dengan Hemodialisis di Jawa Barat Indonesia tahun 2007-2018

Prevalensi penyakit ginjal kronis pada dialisis atau PGK5D meningkat dan memberi beban penanganan penyakit di banyak negara. Pasien biasanya terdaftar dalam register ginjal nasional yang melaporkan data demografis, insiden, prevalensi dan luaran klisis. Tingkat ketahanan hidup merupakan parameter penting dalam registrasi ginjal untuk menggambarkan kualitas terapi pada  populasi pasien PGK stadium 5. Perhimpunan Nefrologi Indonesia (Pernefri) memiliki program Registri Ginjal Indonesia yang disebut Indonesian Renal Registry (IRR) untuk mengumpulkan data pasien PGK5D untuk  memantau kualitas pengobatan dialisis di Indonesia. IRR merilis laporan tahunan tetapi belum dilengkapi dengan  analisis ketahanan hidup. Tujuan penelitian ini adalah mengetahui angka ketahanan hidup lima tahun pasien PGK5D di Jawa Barat antara tahun 2007-2018 dan faktor risikonya berdasarkan basis data dari IRR. Studi kohort retrospektif dengan mengambil semua data pasien dari basis data IRR kemudian ditentukan data pasien Jawa Barat yang lengkap dan di follow up selama 5 tahun pada 31 Desember 2018.   Analisis Kaplan-Meier dan model proporsional hazard Cox digunakan untuk menganalisis faktor risiko. Subjek berjumlah 3199 data yang dimasukkan dalam penelitian ini. Kesimpulannya, angka harapan hidup satu, 2, 3, 4, dan 5 tahun berturut-turut adalah 82%, 70%, 62%, 58%, dan 55%. Usia lebih dari 55 tahun dan penyakit ginjal yang mendasari memiliki kelangsungan hidup yang lebih buruk dengan hazard ratio 1,28 dan 1,50. Eksplorasi lebih lanjut dari data IRR akan memberikan informasi yang lebih baik tentang perawatan dialisis di Indonesia.


Keywords


hemodialysis, registry, survival

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References


Saran R, Robinson B, Abbott KC, Agodoa LYC, Gresham JB, Balkrishnan R. et al. US Renal Data System 2018 Annual Data Report: epidemiology of kidney disease in the United States. Am J Kidney Dis. 2019;73(3)(suppl 1):S1-S772.

Pippias M, Stel VS, Diez JMA, Afentakis N, Herrero CJA, Arias M, et al. Renal replacement therapy in Europe: A summary of the 2012 ERA-EDTA Registry Annual Report. Clin Kidney J. 2015;8(3):248–61.

Dada SA, Inubile AJ, Thomas AA, Dada OE, Akinyemi RO. Survival Pattern of Patients on Maintenance Haemodialysis for End-Stage Renal Disease in a Nigerian Dialysis Centre. Arch Nephrol Urol. 2019;2(1):001–12.

UK Renal Registry (2019) UK Renal Registry 21st Annual Report – data to 31/12/2017, Bristol, UK. [cited 2020 Januari 12]. Available from: https://www.renalreg.org/publications-reports/.

11th Indonesian Renal Registry Report 2018. [cited 2019 November 23]. Available from: http.// www.indonesianrenalregistry.org.id

Singapore Renal Registry Annual Report 2017. National Registry of Diseases Office 2019. [cited 2020 January 12]. Available from : https://www.nrdo.gov.sg/docs/librariesprovider3/default-document-library/singapore-renal-registry-annual-report-2016_1999-till-2016_v5_online_final.pdf?sfvrsn=0

Goh BL, Wong H-S, Ahmad G. 24th Report of The Malaysian Dialysis & Transplant Registry 2019. [cited 2020 Januari 12]. Available from :https://www.msn.org.my/msn/Doc/PublicDoc_PB/Publication/mdtr2016/All%20Chapters.pdf

Wu MS, Wu IW, Hsu KH. Survival Analysis of Taiwan Renal Registry Data System (TWRDS) 2000-2009. Acta Nephrol. 2012;26(2):104–8.

Jardine T, Wong E, Steenkamp R, Caskey FJ, Davids MR. Survival of South African patients on renal replacement therapy. Clin Kidney J. 2020;13(5):782–90.

Haapio M, Helve J, Grönhagen-Riska C, Finne P. One- and 2-Year Mortality Prediction for Patients Starting Chronic Dialysis. Kidney Int Reports. 2017;2(6):1176–85.

ANZDATA Registry. 42nd Report, Chapter 3: Mortality in End Stage Kidney Disease. Australia and New Zealand Dialysis and Transplant Registry, Adelaide, Australia. 2019. [cited 2020 Januari 12]. Available from: http://www.anzdata.org.au

Neovius M, Jacobson SH, Eriksson JK, Elinder CG, Hylander B. Mortality in chronic kidney disease and renal replacement therapy: A population-based cohort study. BMJ Open. 2014;4(2):e004251.

Zou Y, Hong D, He Q, Wen Y, Li G. Epidemiology investigation and analysis of patients with haemodialysis in Sichuan province of China. Ren Fail. 2019;41(1):644–9.

Ingrid P, Adnan A, Imran K, Fatah AAW. Predictive factors of first-year mortality in newly diagnosed end-stage renal disease patients commencing on haemodialysis in Kelantan, Malaysia. Science Forecast Publications LLC. 2018;1(1):1004.

Beladi Mousavi SS, Hayati F, Alemzadeh Ansari MJ, Valavi E, Cheraghian B, Shahbazian H, et al. Survival at 1, 3, and 5 years in diabetic and non-diabetic patients on haemodialysis. Iran J Kidney Dis. 2010;4:74–7.

Khazaei S, Yaseri M, Nematollahi S, Zobdeh Z, Sheikh, Mansournia M. Survival Rate and Predictors of Mortality among Haemodialysis Patients in West of Iran, 1996–2015. Int J Prev Med. 2018;9:113.

Belino C, Coelho A, Pereira S, Lopes D, Gomes AM, Ventura A. Survival of haemodialysis patients: A new reality?. Port J Nephrol Hypert. 2017;31(1):37–41.

Purnama D, Riono P, Farid MN, Afiatin. The impact of diabetes mellitus and hypertension as comorbid on survival rate chronic kidney disease on chronic haemodialysis patients (indonesian renal registry report analysis 2007–2012). J Hypertens Suppl. 2015;33:e13-e14.

Yu SB, Yuan H, Salerno S, Gou SJ, Chen WW, Yang HL, et al. Risk factors for mortality at beginning of maintenance haemodialysis. Chin Med J. 2020;133(7):868–70.

Tsur N, Menashe I, Haviv YS. Risk factors before dialysis predominate as mortality predictors in diabetic maintenance dialysis patients. Sci Rep. 2019;9(1):10633.




DOI: https://doi.org/10.15395/mkb.v52n3.2124

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