1. Global, regional, and national burden of chronic kidney disease, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017
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Bikbov, B, Purcell, CA, Levey, AS, Smith, M, Abdoli, A, Abebe, M, Adebayo, OM, Afarideh, M, Agarwal, SK, Agudelo-Botero, M, Ahmadian, E, Al-Aly, Z, Alipour, V, Almasi-Hashiani, A, Al-Raddadi, RM, Alvis-Guzman, N, Amini, S, Andrei, T, Andrei, CL, Andualem, Z, Anjomshoa, M, Arabloo, J, Ashagre, AF, Asmelash, D, Ataro, Z, Atout, MMW, Ayanore, MA, Badawi, A, Bakhtiari, A, Ballew, SH, Balouchi, A, Banach, M, Barquera, S, Basu, S, Bayih, MT, Bedi, N, Bello, AK, Bensenor, IM, Bijani, A, Boloor, A, Borzì, AM, Cámera, LA, Carrero, JJ, Carvalho, F, Castro, F, Catalá-López, F, Chang, AR, Chin, KL, Chung, SC, Cirillo, M, Cousin, E, Dandona, L, Dandona, R, Daryani, A, Das Gupta, R, Demeke, FM, Demoz, GT, Desta, DM, Do, HP, Duncan, BB, Eftekhari, A, Esteghamati, A, Fatima, SS, Fernandes, JC, Fernandes, E, Fischer, F, Freitas, M, Gad, MM, Gebremeskel, GG, Gebresillassie, BM, Geta, B, Ghafourifard, M, Ghajar, A, Ghith, N, Gill, PS, Ginawi, IA, Gupta, R, Hafezi-Nejad, N, Haj-Mirzaian, A, Hariyani, N, Hasan, M, Hasankhani, M, Hasanzadeh, A, Hassen, HY, Hay, SI, Heidari, B, Herteliu, C, Hoang, CL, Hosseini, M, Hostiuc, M, Irvani, SSN, Islam, SMS, Jafari Balalami, N, James, SL, Jassal, SK, Jha, V, Jonas, JB, Joukar, F, Jozwiak, JJ, Kabir, A, Kahsay, A, Kasaeian, A, Kassa, TD, Kassaye, HG, Khader, YS, Khalilov, R, Khan, EA, Khan, MS, Khang, YH, Kisa, A, Kovesdy, CP, Kuate Defo, B, Kumar, GA, Larsson, AO, Lim, LL, Lopez, AD, Lotufo, PA, Majeed, A, Malekzadeh, R, März, W, Masaka, A, Meheretu, HAA, Miazgowski, T, Mirica, A, Mirrakhimov, EM, Mithra, P, Moazen, B, Mohammad, DK, Mohammadpourhodki, R, Mohammed, S, Mokdad, AH, Morales, L, Moreno Velasquez, I, Mousavi, SM, Mukhopadhyay, S, Nachega, JB, Nadkarni, GN, Nansseu, JR, Natarajan, G, Nazari, J, Neal, B, Negoi, RI, Nguyen, CT, Nikbakhsh, R, Noubiap, JJ, Nowak, C, Olagunju, AT, Ortiz, A, Owolabi, MO, Palladino, R, Pathak, M, Poustchi, H, Prakash, S, Prasad, N, Rafiei, A, Raju, SB, Ramezanzadeh, K, Rawaf, S, Rawaf, DL, Rawal, L, Reiner RC, Rezapour, A, Ribeiro, DC, Roever, L, Rothenbacher, D, Rwegerera, GM, Saadatagah, S, Safari, S, Sahle, BW, Salem, H, Sanabria, J, Santos, IS, Sarveazad, A, Sawhney, M, Schaeffner, E, Schmidt, MI, Schutte, AE, Sepanlou, SG, Shaikh, MA, Sharafi, Z, Sharif, M, Sharifi, A, Silva, DAS, Singh, JA, Singh, NP, Sisay, MMM, Soheili, A, Sutradhar, I, Teklehaimanot, BF, Tesfay, BE, Teshome, GF, Thakur, JS, Tonelli, M, Tran, KB, Tran, BX, Tran Ngoc, C, Ullah, I, Valdez, PR, Varughese, S, Vos, T, Vu, LG, Waheed, Y, Werdecker, A, Wolde, HF, Wondmieneh, AB, Wulf Hanson, S, Yamada, T, Yeshaw, Y, Yonemoto, N, Yusefzadeh, H, Zaidi, Z, Zaki, L, Zaman, SB, Zamora, N, Zarghi, A, Zewdie, KA, Ärnlöv, J, Coresh, J, Perico, N, Remuzzi, G, Murray, CJL, Vos, T., Veritati - Repositório Institucional da Universidade Católica Portuguesa, Bikbov, B, Purcell, Ca, Levey, A, Smith, M, Abdoli, A, Abebe, M, Adebayo, Om, Afarideh, M, Agarwal, Sk, Agudelo-Botero, M, Ahmadian, E, Al-Aly, Z, Alipour, V, Almasi-Hashiani, A, Al-Raddadi, Rm, Alvis-Guzman, N, Amini, S, Andrei, T, Andrei, Cl, Andualem, Z, Anjomshoa, M, Arabloo, J, Ashagre, Af, Asmelash, D, Ataro, Z, Atout, Mmw, Ayanore, Ma, Badawi, A, Bakhtiari, A, Ballew, Sh, Balouchi, A, Banach, M, Barquera, S, Basu, S, Bayih, Mt, Bedi, N, Bello, Ak, Bensenor, Im, Bijani, A, Boloor, A, Borzì, Am, Cámera, La, Carrero, Jj, Carvalho, F, Castro, F, Catalá-López, F, Chang, Ar, Chin, Kl, Chung, Sc, Cirillo, M, Cousin, E, Dandona, L, Dandona, R, Daryani, A, Das, Gupta, R, Demeke, Fm, Demoz, Gt, Desta, Dm, Do, Hp, Duncan, Bb, Eftekhari, A, Esteghamati, A, Fatima, S, Fernandes, Jc, Fernandes, E, Fischer, F, Freitas, M, Gad, Mm, Gebremeskel, Gg, Gebresillassie, Bm, Geta, B, Ghafourifard, M, Ghajar, A, Ghith, N, Gill, P, Ginawi, Ia, Gupta, R, Hafezi-Nejad, N, Haj-Mirzaian, A, Hariyani, N, Hasan, M, Hasankhani, M, Hasanzadeh, A, Hassen, Hy, Hay, Si, Heidari, B, Herteliu, C, Hoang, Cl, Hosseini, M, Hostiuc, M, Irvani, Ssn, Islam, Sm, Jafari, Balalami, N, James, Sl, Jassal, Sk, Jha, V, Jonas, Jb, Joukar, F, Jozwiak, Jj, Kabir, A, Kahsay, A, Kasaeian, A, Kassa, Td, Kassaye, Hg, Khader, Y, Khalilov, R, Khan, Ea, Khan, M, Khang, Yh, Kisa, A, Kovesdy, Cp, Kuate, Defo, B, Kumar, Ga, Larsson, Ao, Lim, Ll, Lopez, Ad, Lotufo, Pa, Majeed, A, Malekzadeh, R, März, W, Masaka, A, Meheretu, Haa, Miazgowski, T, Mirica, A, Mirrakhimov, Em, Mithra, P, Moazen, B, Mohammad, Dk, Mohammadpourhodki, R, Mohammed, S, Mokdad, Ah, Morales, L, Moreno, Velasquez, I, Mousavi, Sm, Mukhopadhyay, S, Nachega, Jb, Nadkarni, Gn, Nansseu, Jr, Natarajan, G, Nazari, J, Neal, B, Negoi, Ri, Nguyen, Ct, Nikbakhsh, R, Noubiap, Jj, Nowak, C, Olagunju, At, Ortiz, A, Owolabi, Mo, Palladino, R, Pathak, M, Poustchi, H, Prakash, S, Prasad, N, Rafiei, A, Raju, Sb, Ramezanzadeh, K, Rawaf, S, Rawaf, Dl, Rawal, L, Reiner, Rc, Jr, Rezapour, A, Ribeiro, Dc, Roever, L, Rothenbacher, D, Rwegerera, Gm, Saadatagah, S, Safari, S, Sahle, Bw, Salem, H, Sanabria, J, Santos, I, Sarveazad, A, Sawhney, M, Schaeffner, E, Schmidt, Mi, Schutte, Ae, Sepanlou, Sg, Shaikh, Ma, Sharafi, Z, Sharif, M, Sharifi, A, Silva, Da, Singh, Ja, Singh, Np, Sisay, Mmm, Soheili, A, Sutradhar, I, Teklehaimanot, Bf, Tesfay, Be, Teshome, Gf, Thakur, J, Tonelli, M, Tran, Kb, Tran, Bx, Tran, Ngoc, Ullah, I, Valdez, Pr, Varughese, S, Vos, T, Vu, Lg, Waheed, Y, Werdecker, A, Wolde, Hf, Wondmieneh, Ab, Wulf, Hanson, S, Yamada, T, Yeshaw, Y, Yonemoto, N, Yusefzadeh, H, Zaidi, Z, Zaki, L, Zaman, Sb, Zamora, N, Zarghi, A, Zewdie, Ka, Ärnlöv, J, Coresh, J, Perico, N, Remuzzi, G, Murray, Cjl, Vos, T., and GBD Chronic Kidney Disease Collaboration
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Systems Analysis ,Gout ,Cost effectiveness ,030204 cardiovascular system & hematology ,Global Health ,GLOMERULAR-FILTRATION-RATE ,Global Burden of Disease ,COST-EFFECTIVENESS ,0302 clinical medicine ,Cause of Death ,Prevalence ,Global health ,Diabetic Nephropathies ,Registries ,030212 general & internal medicine ,SUB-SAHARAN AFRICA ,11 Medical and Health Sciences ,Incidence ,Mortality rate ,1. No poverty ,General Medicine ,Hälsovetenskaper ,GBD Chronic Kidney Disease Collaboration ,CKD-EPI EQUATION ,3. Good health ,Europe ,Cardiovascular Diseases ,Quality-Adjusted Life Years ,Life Sciences & Biomedicine ,Asia ,Oceania ,195 COUNTRIES ,ATHEROSCLEROSIS RISK ,CARDIOVASCULAR OUTCOMES ,Risk Assessment ,Article ,03 medical and health sciences ,Medicine, General & Internal ,SDG 3 - Good Health and Well-being ,RISK-FACTOR ,General & Internal Medicine ,Environmental health ,Health Sciences ,medicine ,Humans ,GBD, chronic kidney disease ,Mortality ,Risk factor ,Renal Insufficiency, Chronic ,Disease burden ,QM ,Science & Technology ,Australasia ,business.industry ,PERIPHERAL ARTERIAL-DISEASE ,Bayes Theorem ,medicine.disease ,Health Surveys ,Quality-adjusted life year ,RENAL-DISEASE ,Latin America ,Years of potential life lost ,Africa ,North America ,Human medicine ,business ,RC ,Kidney disease - Abstract
Background Health system planning requires careful assessment of chronic kidney disease (CKD) epidemiology, but data for morbidity and mortality of this disease are scarce or non-existent in many countries. We estimated the global, regional, and national burden of CKD, as well as the burden of cardiovascular disease and gout attributable to impaired kidney function, for the Global Burden of Diseases, Injuries, and Risk Factors Study 2017. We use the term CKD to refer to the morbidity and mortality that can be directly attributed to all stages of CKD, and we use the term impaired kidney function to refer to the additional risk of CKD from cardiovascular disease and gout. Methods The main data sources we used were published literature, vital registration systems, end-stage kidney disease registries, and household surveys. Estimates of CKD burden were produced using a Cause of Death Ensemble model and a Bayesian meta-regression analytical tool, and induded incidence, prevalence, years lived with disability, mortality, years of life lost, and disability-adjusted life-years (DALYs). A comparative risk assessment approach was used to estimate the proportion of cardiovascular diseases and gout burden attributable to impaired kidney function. Findings Globally, in 2017,1.2 million (95% uncertainty interval [UI] 1.2 to 1.3) people died from CKD. The global all-age mortality rate from CKD increased 41.5% (95% UI 35.2 to 46.5) between 1990 and 2017, although there was no significant change in the age-standardised mortality rate (2.8%, -1.5 to 6.3). In 2017,697.5 million (95% UI 649.2 to 752.0) cases of all-stage CKD were recorded, for a global prevalence of 9.1% (8.5 to 9.8). The global all-age prevalence of CKD increased 29.3% (95% UI 26.4 to 32.6) since 1990, whereas the age-standardised prevalence remained stable (1.2%, -1.1 to 3.5). CKD resulted in 35.8 million (95% UI 33.7 to 38.0) DALYs in 2017, with diabetic nephropathy accounting for almost a third of DALYs. Most of the burden of CKD was concentrated in the three lowest quintiles of Socio-demographic Index (SDI). In several regions, particularly Oceania, sub-Saharan Africa, and Latin America, the burden of CKD was much higher than expected for the level of development, whereas the disease burden in western, eastern, and central sub-Saharan Africa, east Asia, south Asia, central and eastern Europe, Australasia, and western Europe was lower than expected. 1.4 million (95% UI 1.2 to 1.6) cardiovascular disease-related deaths and 25.3 million (22.2 to 28.9) cardiovascular disease DALYs were attributable to impaired kidney function. Interpretation Kidney disease has a major effect on global health, both as a direct cause of global morbidity and mortality and as an important risk factor for cardiovascular disease. CKD is largely preventable and treatable and deserves greater attention in global health policy decision making, particularly in locations with low and middle SDI. Copyright (C) 2020 The Author(s). Published by Elsevier Ltd.
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- 2020