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A long-term nationwide study on chronic kidney disease-related mortality in Italy: trends and associated comorbidity

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Abstract

Background

Chronic kidney diseases (CKDs) represent a major public health concern worldwide with increasing incidence and prevalence. However, the epidemiological dimension of CKD in Italy is still under evaluation. By analyzing all the conditions reported on death certificates (multiple causes of death), we aimed to investigate the real burden of CKD mortality in Italy over 15 years and identify the main conditions contributing to death in association with CKD.

Methods

Death certificates of all deaths occurring in Italy from 2003 to 2017 were analyzed. Certificates reporting CKD were identified as CKD-related deaths. CKD-related mortality was investigated through age-standardized mortality rates, by sex and age. Conditions associated with CKD were identified through an indicator (age-standardized proportion ratio) measuring the excess proportion (value > 1) of having such conditions mentioned in the death certificate with and without CKD.

Results

From 2003 to 2017, multiple-cause-based CKD mortality rates increased by 60% in males and by 54% in females. The overall increase was mostly attributable to people aged 80 years or more. Several conditions were associated with CKD, the most relevant being diabetes (age-standardized proportion ratio = 2.2), obesity (2.1), systemic connective tissue disorders (2.3), anemia (2.7), and genitourinary system diseases (2.6).

Conclusions

Multiple-cause-of-death data revealed a significant increase in CKD-related mortality in recent years, providing a measure of the burden of CKD on overall mortality in Italy. Moreover, multiple cause analysis allowed to identify the main conditions contributing to death in association with CKD, which should be aggressively targeted by clinicians to prevent CKD adverse outcomes.

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Availability of data and material

The datasets generated and/or analyzed during the current study are not publicly available as access to individual data is limited to Istat authorized personnel. Nevertheless, aggregated data, in compliance with the Italian privacy legislation, are available from the corresponding author on reasonable request.

Code availability

Not applicable.

References

  1. GBD Chronic Kidney Disease Collaboration (2020) Global, regional, and national burden of chronic kidney disease, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet Lond Engl 395:709–733. https://doi.org/10.1016/S0140-6736(20)30045-3

    Article  Google Scholar 

  2. Cruz MC, Andrade C, Urrutia M, Draibe S, Nogueira-Martins LA, de Sesso RCC (2011) Quality of life in patients with chronic kidney disease. Clinics 66:991–995. https://doi.org/10.1590/S1807-59322011000600012

    Article  PubMed  PubMed Central  Google Scholar 

  3. Golestaneh L, Alvarez PJ, Reaven NL, Funk SE, McGaughey KJ, Romero A, Brenner MS, Onuigbo M (2017) All-cause costs increase exponentially with increased chronic kidney disease stage. Am J Manag Care 23:S163–S172

    PubMed  Google Scholar 

  4. Kerr M, Matthews B, Medcalf JF, O’Donoghue D (2016) End-of-life care for people with chronic kidney disease: cause of death, place of death and hospital costs. Nephrol Dial Transpl. https://doi.org/10.1093/ndt/gfw098

    Article  Google Scholar 

  5. Kochanek KD, Murphy SL, Xu JQ, Arias E (2019) Deaths: final data for 2017. National Vital Statistics Reports, vol 68, 9th edn. National Center for Health Statistics, Hyattsville

    Google Scholar 

  6. Amaral TLM, de Amaral CA, Miranda Filho AL, Monteiro GTR (2018) Tendência e causa múltipla de óbito por insuficiência renal crônica em município da Amazônia brasileira. Ciênc Saúde Colet 23:3821–3828. https://doi.org/10.1590/1413-812320182311.29902016

    Article  Google Scholar 

  7. Australian Institute of Health and Welfare, Chronic Kidney Disease (2021). https://www.aihw.gov.au/reports/chronic-kidney-disease/chronic-kidney-disease-compendium/contents/deaths-from-chronic-kidney-disease. Accessed 12 July 2021

  8. Carrillo-Larco RM, Bernabé-Ortiz A (2018) Mortalidad por enfermedad renal crónica en el Perú: tendencias nacionales 2003–2015. Rev Peru Med Exp Salud Pública 35:409. https://doi.org/10.17843/rpmesp.2018.353.3633

    Article  PubMed  Google Scholar 

  9. Ladhani M, Craig JC, Irving M, Clayton PA, Wong G (2016) Obesity and the risk of cardiovascular and all-cause mortality in chronic kidney disease: a systematic review and meta-analysis. Nephrol Dial Transpl. https://doi.org/10.1093/ndt/gfw075

    Article  Google Scholar 

  10. Navaneethan SD, Schold JD, Arrigain S, Jolly SE, Nally JV (2015) Cause-specific deaths in non–dialysis-dependent CKD. J Am Soc Nephrol 26:2512–2520. https://doi.org/10.1681/ASN.2014101034

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Thompson S, James M, Wiebe N, Hemmelgarn B, Manns B, Klarenbach S, Tonelli M (2015) Cause of death in patients with reduced kidney function. J Am Soc Nephrol 26:2504–2511. https://doi.org/10.1681/ASN.2014070714

    Article  PubMed  PubMed Central  Google Scholar 

  12. De La Mata NL, Masson P, Al-Shahi Salman R, Kelly PJ, Webster AC (2019) Death From stroke in end-stage kidney disease: a population-based study using data linkage. Stroke 50:487–490. https://doi.org/10.1161/STROKEAHA.118.023644

    Article  Google Scholar 

  13. Sarnak MJ, Jaber BL (2000) Mortality caused by sepsis in patients with end-stage renal disease compared with the general population. Kidney Int 58:1758–1764. https://doi.org/10.1111/j.1523-1755.2000.00337.x

    Article  CAS  PubMed  Google Scholar 

  14. Prichard SS (2000) Comorbidities and their impact on outcome in patients with end-stage renal disease. Kidney Int 57:S100–S104. https://doi.org/10.1046/j.1523-1755.2000.07417.x

    Article  Google Scholar 

  15. Thomas R, Kanso A, Sedor JR (2008) Chronic kidney disease and its complications. Prim Care Clin Off Pract 35:329–344. https://doi.org/10.1016/j.pop.2008.01.008

    Article  Google Scholar 

  16. Italian National Institute of Statistics, Sistema Informativo sulla Qualità dei Processi Statistici (2021). http://siqual.istat.it/SIQual/visualizza.do?id=5000131. Accessed 12 July 2021

  17. World Health Organization (1992) International statistical classification of diseases and related health problems, tenth revision (ICD-10). World Health Organization, Geneva

    Google Scholar 

  18. Iris Institute (2021). https://www.dimdi.de/dynamic/en/classifications/iris-institute/index.html. Accessed 12 July 2021

  19. World Health Organization (2016) International statistical classification of diseases and related health problems, tenth revision (ICD-10) Version:2016 World Health Organization, Geneva. https://icd.who.int/browse10/2016/en. Accessed 12 July 2021

  20. World Health Organization (2008) International statistical classification of diseases and related health problems, tenth revision (ICD-10) Version:2008 World Health Organization, Geneva. https://icd.who.int/browse10/2008/en#. Accessed 12 July 2021

  21. (2013) Revision of the European Standard Population: report of Eurostat’s task force: 2013 edition. Luxembourg: Publications Office of the European Union, 2013. ISSN 1977-0375. ISBN 978-92-79-31094-2. Cat. No: KS-RA-13-028-EN-N. https://doi.org/10.2785/11470

  22. Joinpoint trend analysis software. National Cancer Institute (NIH), Division of Cancer Control and Population Sciences (2021). https://surveillance.cancer.gov/joinpoint/. Accessed 12 July 2021

  23. Grande E, Zucchetto A, Suligoi B, Grippo F, Pappagallo M, Virdone S, Camoni L, Taborelli M, Regine V, Serraino D, Frova L (2017) Multiple cause-of-death data among people with AIDS in Italy: a nationwide cross-sectional study. Popul Health Metr 15:19. https://doi.org/10.1186/s12963-017-0135-3

    Article  PubMed  PubMed Central  Google Scholar 

  24. Orsi C, Navarra S, Frova L, Grande E, Marchetti S, Pappagallo M, Grippo F (2019) Impatto dell’implementazione della versione 2016 dell’ICD-10 e del software Iris sulle statistiche di mortalità in Italia. Epidemiol Prev 43:161–170. https://doi.org/10.19191/EP19.2-3.P161.055

    Article  PubMed  Google Scholar 

  25. Levey AS (1999) A More accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Ann Intern Med 130:461. https://doi.org/10.7326/0003-4819-130-6-199903160-00002

    Article  CAS  Google Scholar 

  26. Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF, Feldman HI, Kusek JW, Eggers P, Van Lente F, Greene T, Coresh J, CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration) (2009) A new equation to estimate glomerular filtration rate. Ann Intern Med 150:604–612. https://doi.org/10.7326/0003-4819-150-9-200905050-00006

    Article  PubMed  PubMed Central  Google Scholar 

  27. National Kidney Foundation (2002) K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis 39:S1-266

    Google Scholar 

  28. Delanaye P, Glassock RJ, Pottel H, Rule AD (2016) An age-calibrated definition of chronic kidney disease: rationale and benefits. Clin Biochem Rev 37:17–26

    PubMed  PubMed Central  Google Scholar 

  29. Cozzolino M, Galassi A, Pivari F, Ciceri P, Conte F (2017) The cardiovascular burden in end-stage renal disease. Contrib Nephrol 191:44–57. https://doi.org/10.1159/000479250

    Article  PubMed  Google Scholar 

  30. Sarnak MJ, Amann K, Bangalore S, Cavalcante JL, Charytan DM, Craig JC, Gill JS, Hlatky MA, Jardine AG, Landmesser U, Newby LK, Herzog CA, Cheung M, Wheeler DC, Winkelmayer WC, Marwick TH, Banerjee D, Briguori C, Chang TI, Chen C-L, de Filippi CR, Ding X, Ferro CJ, Gill J, Gössl M, Isbel NM, Ishii H, Jardine MJ, Kalra PA, Laufer G, Lentine KL, Lobdell K, Lok CE, London GM, Małyszko J, Mark PB, Marwan M, Nie Y, Parfrey PS, Pecoits-Filho R, Pilmore H, Qunibi WY, Raggi P, Rattazzi M, Rossignol P, Ruturi J, Sabanayagam C, Shanahan CM, Shroff GR, Shroff R, Webster AC, Weiner DE, Winther S, Wiseman AC, Yip A, Zarbock A (2019) Chronic kidney disease and coronary artery disease. J Am Coll Cardiol 74:1823–1838. https://doi.org/10.1016/j.jacc.2019.08.1017

    Article  CAS  PubMed  Google Scholar 

  31. Pugh D, Gallacher PJ, Dhaun N (2019) Management of hypertension in chronic kidney Disease. Drugs 79:365–379. https://doi.org/10.1007/s40265-019-1064-1

    Article  PubMed  PubMed Central  Google Scholar 

  32. Malhotra R, Nguyen HA, Benavente O, Mete M, Howard BV, Mant J, Odden MC, Peralta CA, Cheung AK, Nadkarni GN, Coleman RL, Holman RR, Zanchetti A, Peters R, Beckett N, Staessen JA, Ix JH (2017) Association between more intensive vs less intensive blood pressure lowering and risk of mortality in chronic kidney disease stages 3 to 5: a systematic review and meta-analysis. JAMA Intern Med 177:1498. https://doi.org/10.1001/jamainternmed.2017.4377

    Article  PubMed  PubMed Central  Google Scholar 

  33. Ronco C, Bellasi A, Di Lullo L (2018) Cardiorenal syndrome: an overview. Adv Chronic Kidney Dis 25:382–390. https://doi.org/10.1053/j.ackd.2018.08.004

    Article  PubMed  Google Scholar 

  34. Mills KT, Xu Y, Zhang W, Bundy JD, Chen C-S, Kelly TN, Chen J, He J (2015) A systematic analysis of worldwide population-based data on the global burden of chronic kidney disease in 2010. Kidney Int 88:950–957. https://doi.org/10.1038/ki.2015.230

    Article  PubMed  PubMed Central  Google Scholar 

  35. Jha V, Garcia-Garcia G, Iseki K, Li Z, Naicker S, Plattner B, Saran R, Wang AY-M, Yang C-W (2013) Chronic kidney disease: global dimension and perspectives. Lancet Lond Engl 382:260–272. https://doi.org/10.1016/S0140-6736(13)60687-X

    Article  Google Scholar 

  36. Tuttle KR, Bakris GL, Bilous RW, Chiang JL, de Boer IH, Goldstein-Fuchs J, Hirsch IB, Kalantar-Zadeh K, Narva AS, Navaneethan SD, Neumiller JJ, Patel UD, Ratner RE, Whaley-Connell AT, Molitch ME (2014) Diabetic kidney disease: a report from an ADA Consensus Conference. Diabetes Care 37:2864–2883. https://doi.org/10.2337/dc14-1296

    Article  PubMed  PubMed Central  Google Scholar 

  37. Saran R, Robinson B, Abbott KC, Agodoa LYC, Bragg-Gresham J, Balkrishnan R, Bhave N, Dietrich X, Ding Z, Eggers PW, Gaipov A, Gillen D, Gipson D, Gu H, Guro P, Haggerty D, Han Y, He K, Herman W, Heung M, Hirth RA, Hsiung J-T, Hutton D, Inoue A, Jacobsen SJ, Jin Y, Kalantar-Zadeh K, Kapke A, Kleine C-E, Kovesdy CP, Krueter W, Kurtz V, Li Y, Liu S, Marroquin MV, McCullough K, Molnar MZ, Modi Z, Montez-Rath M, Moradi H, Morgenstern H, Mukhopadhyay P, Nallamothu B, Nguyen DV, Norris KC, O’Hare AM, Obi Y, Park C, Pearson J, Pisoni R, Potukuchi PK, Repeck K, Rhee CM, Schaubel DE, Schrager J, Selewski DT, Shamraj R, Shaw SF, Shi JM, Shieu M, Sim JJ, Soohoo M, Steffick D, Streja E, Sumida K, Kurella Tamura M, Tilea A, Turf M, Wang D, Weng W, Woodside KJ, Wyncott A, Xiang J, Xin X, Yin M, You AS, Zhang X, Zhou H, Shahinian V (2018) US renal data system 2018 annual data report: epidemiology of kidney disease in the United States. Am J Kidney Dis 73(2019):A7–A8. https://doi.org/10.1053/j.ajkd.2019.01.001

    Article  Google Scholar 

  38. de Boer IH, Rue TC, Hall YN, Heagerty PJ, Weiss NS, Himmelfarb J (2011) Temporal trends in the prevalence of diabetic kidney disease in the United States. JAMA 305:2532–2539. https://doi.org/10.1001/jama.2011.861

    Article  PubMed  PubMed Central  Google Scholar 

  39. Fox CS, Matsushita K, Woodward M, Bilo HJG, Chalmers J, Heerspink HJL, Lee BJ, Perkins RM, Rossing P, Sairenchi T, Tonelli M, Vassalotti JA, Yamagishi K, Coresh J, de Jong PE, Wen C-P, Nelson RG (2012) Chronic Kidney Disease Prognosis Consortium, Associations of kidney disease measures with mortality and end-stage renal disease in individuals with and without diabetes: a meta-analysis. Lancet Lond Engl 380:1662–1673. https://doi.org/10.1016/S0140-6736(12)61350-6

    Article  Google Scholar 

  40. Fox CS, Larson MG, Leip EP, Culleton B, Wilson PWF, Levy D (2004) Predictors of new-onset kidney disease in a community-based population. JAMA 291:844–850. https://doi.org/10.1001/jama.291.7.844

    Article  CAS  PubMed  Google Scholar 

  41. Tsujimoto T, Sairenchi T, Iso H, Irie F, Yamagishi K, Watanabe H, Tanaka K, Muto T, Ota H (2014) The dose-response relationship between body mass index and the risk of incident stage ≥3 chronic kidney disease in a general japanese population: the Ibaraki prefectural health study (IPHS). J Epidemiol 24:444–451. https://doi.org/10.2188/jea.je20140028

    Article  PubMed  Google Scholar 

  42. Mohamedali M, Reddy Maddika S, Vyas A, Iyer V, Cheriyath P (2014) Thyroid disorders and chronic kidney disease. Int J Nephrol 2014:520281. https://doi.org/10.1155/2014/520281

    Article  PubMed  PubMed Central  Google Scholar 

  43. Rhee CM (2016) The interaction between thyroid and kidney disease: an overview of the evidence. Curr Opin Endocrinol Diabetes Obes 23:407–415. https://doi.org/10.1097/MED.0000000000000275

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Chonchol M, Lippi G, Salvagno G, Zoppini G, Muggeo M, Targher G (2008) Prevalence of subclinical hypothyroidism in patients with chronic kidney disease. Clin J Am Soc Nephrol CJASN 3:1296–1300. https://doi.org/10.2215/CJN.00800208

    Article  PubMed  Google Scholar 

  45. Meuwese CL, Gussekloo J, de Craen AJM, Dekker FW, den Elzen WPJ (2014) Thyroid status and renal function in older persons in the general population. J Clin Endocrinol Metab 99:2689–2696. https://doi.org/10.1210/jc.2013-3778

    Article  CAS  PubMed  Google Scholar 

  46. Wang X-R, Zhang J-J, Xu X-X, Wu Y-G (2019) Prevalence of coronary artery calcification and its association with mortality, cardiovascular events in patients with chronic kidney disease: a systematic review and meta-analysis. Ren Fail 41:244–256. https://doi.org/10.1080/0886022X.2019.1595646

    Article  PubMed  PubMed Central  Google Scholar 

  47. Wang HE, Gamboa C, Warnock DG, Muntner P (2011) Chronic kidney disease and risk of death from infection. Am J Nephrol 34:330–336. https://doi.org/10.1159/000330673

    Article  PubMed  PubMed Central  Google Scholar 

  48. Powe NR, Jaar B, Furth SL, Hermann J, Briggs W (1999) Septicemia in dialysis patients: Incidence, risk factors, and prognosis. Kidney Int 55:1081–1090. https://doi.org/10.1046/j.1523-1755.1999.0550031081.x

    Article  CAS  PubMed  Google Scholar 

  49. Eleftheriadis T, Liakopoulos V, Leivaditis K, Antoniadi G, Stefanidis I (2011) Infections in hemodialysis: a concise review part 1: bacteremia and respiratory infections. Hippokratia 15:12–17

    CAS  PubMed  PubMed Central  Google Scholar 

  50. Nimmo A, Chopra C, Hunter RW (2019) Diagnosing renal involvement in connective tissue disease: interpretation of anti-nuclear autoantibody tests. Nephrol Dial Transpl. https://doi.org/10.1093/ndt/gfz128

    Article  Google Scholar 

  51. Seshan SV, Jennette JC (2009) Renal disease in systemic lupus erythematosus with emphasis on classification of lupus glomerulonephritis: advances and implications. Arch Pathol Lab Med 133:233–248. https://doi.org/10.1043/1543-2165-133.2.233

    Article  PubMed  Google Scholar 

  52. Bossini N, Savoldi S, Franceschini F, Mombelloni S, Baronio M, Cavazzana I, Viola BF, Valzorio B, Mazzucchelli C, Cattaneo R, Scolari F, Maiorca R (2001) Clinical and morphological features of kidney involvement in primary Sjögren’s syndrome. Nephrol Dial Transpl 16:2328–2336. https://doi.org/10.1093/ndt/16.12.2328

    Article  CAS  Google Scholar 

  53. Penn H, Howie AJ, Kingdon EJ, Bunn CC, Stratton RJ, Black CM, Burns A, Denton CP (2007) Scleroderma renal crisis: patient characteristics and long-term outcomes. QJM 100:485–494. https://doi.org/10.1093/qjmed/hcm052

    Article  CAS  PubMed  Google Scholar 

  54. Sinico RA, Cavazzana I, Nuzzo M, Vianelli M, Napodano P, Scaini P, Tincani A (2010) Renal involvement in primary antiphospholipid syndrome: retrospective analysis of 160 patients. Clin J Am Soc Nephrol 5:1211–1217. https://doi.org/10.2215/CJN.00460110

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  55. Helin HJ, Korpela MM, Mustonen JT, Pasternack AI (1995) Renal biopsy findings and clinicopathologic correlations in rheumatoid arthritis. Arthritis Rheum 38:242–247. https://doi.org/10.1002/art.1780380213

    Article  CAS  PubMed  Google Scholar 

  56. Coca SG, Singanamala S, Parikh CR (2012) Chronic kidney disease after acute kidney injury: a systematic review and meta-analysis. Kidney Int 81:442–448. https://doi.org/10.1038/ki.2011.379

    Article  PubMed  Google Scholar 

  57. Grams ME, Sang Y, Ballew SH, Gansevoort RT, Kimm H, Kovesdy CP, Naimark D, Oien C, Smith DH, Coresh J, Sarnak MJ, Stengel B, Tonelli M, Tonelli M, Hemmelgarn BR, James MT, Turin TC, Coresh J, Matsushita K, Grams M, Sang Y, Shlipak M, Sarnak MJ, Katz R, Wheeler DC, Emberson J, Landray MJ, Townend JN, Green J, Kirchner HL, Perkins R, Chang AR, Romundstad S, Aasarød K, Øien CM, Hallan S, Smith DH, Thorp ML, Johnson ES, Chodick G, Herzel E, Katz R, Shalev V, Gansevoort RT, Bakker SJL, Lambers Heerspink HJ, van der Harst P, Jee SH, Kimm H, Mok Y, Tangri N, Naimark D, Ärnlöv J, Larsson A, Lannfelt L, Kovesdy CP, Kalantar-Zadeh K, Coresh J, Grams M, Matsushita K, Gansevoort RT, de Jong PE, Iseki K, Levey AS, Sarnak MJ, Stengel B, Warnock D, Woodward M, Ballew SH, Coresh J, Grams M, Matsushita K, Sang Y, Woodward M (2015) A meta-analysis of the association of estimated gfr, albuminuria, age, race, and sex with acute kidney injury. Am J Kidney Dis 66:591–601. https://doi.org/10.1053/j.ajkd.2015.02.337

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  58. James MT, Grams ME, Woodward M, Elley CR, Green JA, Wheeler DC, de Jong P, Gansevoort RT, Levey AS, Warnock DG, Sarnak MJ, Tonelli M, Hemmelgarn BR, James MT, Turin TC, Coresh J, Matsushita K, Grams M, Sang Y, Shlipak M, Sarnak MJ, Katz R, Wheeler DC, Emberson J, Landray MJ, Townend JN, Green J, Kirchner HL, Perkins R, Chang AR, Romundstad S, Aasarød K, Øien CM, Hallan S, Smith DH, Thorp ML, Johnson ES, Chodick G, Herzel E, Katz R, Shalev V, Gansevoort RT, Bakker SJL, Lambers Heerspink HJ, van der Harst P, Jee SH, Kimm H, Mok Y, Tangri N, Naimark D, Ärnlöv J, Larsson A, Lannfelt L, Kovesdy CP, Kalantar-Zadeh K, Coresh J, Grams M, Matsushita K, Gansevoort RT, de Jong PE, Iseki K, Levey AS, Sarnak MJ, Stengel B, Warnock D, Woodward M, Ballew SH, Coresh J, Grams M, Matsushita K, Sang Y, Woodward M (2015) A meta-analysis of the association of estimated GFR, albuminuria, diabetes mellitus, and hypertension with acute kidney injury. Am J Kidney Dis 66:602–612. https://doi.org/10.1053/j.ajkd.2015.02.338

    Article  PubMed  PubMed Central  Google Scholar 

  59. Sanna-Cherchi S, Ravani P, Corbani V, Parodi S, Haupt R, Piaggio G, Innocenti MLD, Somenzi D, Trivelli A, Caridi G, Izzi C, Scolari F, Mattioli G, Allegri L, Ghiggeri GM (2009) Renal outcome in patients with congenital anomalies of the kidney and urinary tract. Kidney Int 76:528–533. https://doi.org/10.1038/ki.2009.220

    Article  PubMed  Google Scholar 

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All authors devised the study concept and design. SN and EG completed the acquisition of data and the statistical analysis. SN and EG wrote the first draft of the manuscript. All authors contributed to the interpretation of the results and the critical revision of the manuscript. All authors approved the final version of the manuscript.

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Correspondence to Simone Navarra.

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This article does not contain any studies with human participants or animals performed by any of the authors. Mortality data are routinely collected by the National Institute of Statistics. All analyses were carried out on aggregated data without any possibility of identification of individuals; therefore, the study was exempt from institutional review board approval.

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Navarra, S., Solini, A., Baroni, M.G. et al. A long-term nationwide study on chronic kidney disease-related mortality in Italy: trends and associated comorbidity. J Nephrol 35, 505–515 (2022). https://doi.org/10.1007/s40620-021-01132-9

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