Kidney Failure Risk Equation predictive tool to improve predialysis patient management?
The Kidney Failure Risk Equation (KFRE) is a predictive tool that estimates the risk of progression to end stage renal disease (ESKD) in patients with chronic kidney disease (CKD). This study evaluated the systematic implementation of KFRE in our nephrology center to improve the management of pre-di...
- Autores:
-
Cristiano, Fabrizio
Ramírez-Acosta, Julián Camilo
Rosa-Diez, Guillermo
Aroca-Martinez, Gustavo
Guido Musso, Carlos
- Tipo de recurso:
- Fecha de publicación:
- 2025
- Institución:
- Universidad Simón Bolívar
- Repositorio:
- Repositorio Digital USB
- Idioma:
- eng
- OAI Identifier:
- oai:bonga.unisimon.edu.co:20.500.12442/16803
- Acceso en línea:
- https://hdl.handle.net/20.500.12442/16803
https://doi.org/10.69097/42-03-2025-08
https://giornaleitalianodinefrologia.it/2025/06/42-03-2025-08/
- Palabra clave:
- KFRE
KFRE
CKD
Vascular access
Peritoneal access
- Rights
- openAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 International
| id |
USIMONBOL2_4a2684cd3a216c43ce2239dd07497b41 |
|---|---|
| oai_identifier_str |
oai:bonga.unisimon.edu.co:20.500.12442/16803 |
| network_acronym_str |
USIMONBOL2 |
| network_name_str |
Repositorio Digital USB |
| repository_id_str |
|
| dc.title.spa.fl_str_mv |
Kidney Failure Risk Equation predictive tool to improve predialysis patient management? |
| title |
Kidney Failure Risk Equation predictive tool to improve predialysis patient management? |
| spellingShingle |
Kidney Failure Risk Equation predictive tool to improve predialysis patient management? KFRE KFRE CKD Vascular access Peritoneal access |
| title_short |
Kidney Failure Risk Equation predictive tool to improve predialysis patient management? |
| title_full |
Kidney Failure Risk Equation predictive tool to improve predialysis patient management? |
| title_fullStr |
Kidney Failure Risk Equation predictive tool to improve predialysis patient management? |
| title_full_unstemmed |
Kidney Failure Risk Equation predictive tool to improve predialysis patient management? |
| title_sort |
Kidney Failure Risk Equation predictive tool to improve predialysis patient management? |
| dc.creator.fl_str_mv |
Cristiano, Fabrizio Ramírez-Acosta, Julián Camilo Rosa-Diez, Guillermo Aroca-Martinez, Gustavo Guido Musso, Carlos |
| dc.contributor.author.none.fl_str_mv |
Cristiano, Fabrizio Ramírez-Acosta, Julián Camilo Rosa-Diez, Guillermo Aroca-Martinez, Gustavo Guido Musso, Carlos |
| dc.subject.spa.fl_str_mv |
KFRE |
| topic |
KFRE KFRE CKD Vascular access Peritoneal access |
| dc.subject.keywords.eng.fl_str_mv |
KFRE CKD Vascular access Peritoneal access |
| description |
The Kidney Failure Risk Equation (KFRE) is a predictive tool that estimates the risk of progression to end stage renal disease (ESKD) in patients with chronic kidney disease (CKD). This study evaluated the systematic implementation of KFRE in our nephrology center to improve the management of pre-dialysis patients. Through the analysis of 100 patients followed in the pre-dialysis pathway in the last 36 months, we observed a significant reduction in the initiation of dialysis in late referral mode, a lower use of temporary central venous catheters and an increase in timely preparation of vascular or peritoneal access. The comparison with historical pre-implementation data (2017-2020) highlighted an improvement in clinical organization and patient awareness in the choice of dialysis modality. The KFRE has proven to be a valid tool for risk stratification, optimizing the timing of renal replacement therapy and improving the allocation of healthcare resources. The integration of KFRE into clinical practice could represent a step towards precision nephrology, promoting more informed and personalized therapeutic decisions. |
| publishDate |
2025 |
| dc.date.accessioned.none.fl_str_mv |
2025-07-07T16:01:51Z |
| dc.date.available.none.fl_str_mv |
2025-07-07T16:01:51Z |
| dc.date.issued.none.fl_str_mv |
2025 |
| dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
| dc.type.driver.none.fl_str_mv |
info:eu-repo/semantics/article |
| dc.type.spa.none.fl_str_mv |
Artículo científico |
| dc.identifier.issn.none.fl_str_mv |
17245990 |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12442/16803 |
| dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.69097/42-03-2025-08 |
| dc.identifier.url.none.fl_str_mv |
https://giornaleitalianodinefrologia.it/2025/06/42-03-2025-08/ |
| identifier_str_mv |
17245990 |
| url |
https://hdl.handle.net/20.500.12442/16803 https://doi.org/10.69097/42-03-2025-08 https://giornaleitalianodinefrologia.it/2025/06/42-03-2025-08/ |
| dc.language.iso.none.fl_str_mv |
eng |
| language |
eng |
| dc.rights.eng.fl_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 International |
| dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
| dc.rights.uri.none.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| dc.rights.accessrights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ http://purl.org/coar/access_right/c_abf2 |
| eu_rights_str_mv |
openAccess |
| dc.format.mimetype.none.fl_str_mv |
pdf |
| dc.publisher.spa.fl_str_mv |
Società Italiana di Nefrologia |
| dc.source.eng.fl_str_mv |
Giornale Italiano di Nefrologia G Ital Nefrol |
| dc.source.spa.fl_str_mv |
Vol. 3 No. 42, (2025) |
| institution |
Universidad Simón Bolívar |
| bitstream.url.fl_str_mv |
https://bonga.unisimon.edu.co/bitstreams/2be446b5-b372-4314-86bb-3edfb8bb6b23/download https://bonga.unisimon.edu.co/bitstreams/3021494b-93a1-4ad4-ae53-589afcb40830/download https://bonga.unisimon.edu.co/bitstreams/9e5ffec9-1883-49e3-8860-a9e9c545a67d/download https://bonga.unisimon.edu.co/bitstreams/e29f6486-f587-42d6-a856-74c2de45644e/download https://bonga.unisimon.edu.co/bitstreams/4c52c14c-0c44-4798-9087-1ec65afc8383/download |
| bitstream.checksum.fl_str_mv |
1a0bf1ed069a4c130cd7164ae8b80344 3b6ce8e9e36c89875e8cf39962fe8920 733bec43a0bf5ade4d97db708e29b185 897cd4fb126e70966039f20472838428 d89feb0eb7c8a4cb2e4740d31651eb2d |
| bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 MD5 |
| repository.name.fl_str_mv |
Repositorio Digital Universidad Simón Bolívar |
| repository.mail.fl_str_mv |
repositorio.digital@unisimon.edu.co |
| _version_ |
1858228240807624704 |
| spelling |
Cristiano, Fabrizio333f291b-0e49-4297-846f-6ec918c709fd600Ramírez-Acosta, Julián Camilo2a1db3e8-1a18-4b57-aeb9-6a732b4358ab-1Rosa-Diez, Guillermodd7eac4d-f383-4f1a-ad29-1e12a2faa13c-1Aroca-Martinez, Gustavocc504cfa-dcfd-4609-b570-9bdfb32f4577600Guido Musso, Carlos2da5aa7b-a727-493e-9477-14d1689a03f7-12025-07-07T16:01:51Z2025-07-07T16:01:51Z202517245990https://hdl.handle.net/20.500.12442/16803https://doi.org/10.69097/42-03-2025-08https://giornaleitalianodinefrologia.it/2025/06/42-03-2025-08/The Kidney Failure Risk Equation (KFRE) is a predictive tool that estimates the risk of progression to end stage renal disease (ESKD) in patients with chronic kidney disease (CKD). This study evaluated the systematic implementation of KFRE in our nephrology center to improve the management of pre-dialysis patients. Through the analysis of 100 patients followed in the pre-dialysis pathway in the last 36 months, we observed a significant reduction in the initiation of dialysis in late referral mode, a lower use of temporary central venous catheters and an increase in timely preparation of vascular or peritoneal access. The comparison with historical pre-implementation data (2017-2020) highlighted an improvement in clinical organization and patient awareness in the choice of dialysis modality. The KFRE has proven to be a valid tool for risk stratification, optimizing the timing of renal replacement therapy and improving the allocation of healthcare resources. The integration of KFRE into clinical practice could represent a step towards precision nephrology, promoting more informed and personalized therapeutic decisions.pdfengSocietà Italiana di NefrologiaAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Giornale Italiano di NefrologiaG Ital NefrolVol. 3 No. 42, (2025)KFREKFRECKDVascular accessPeritoneal accessKidney Failure Risk Equation predictive tool to improve predialysis patient management?info:eu-repo/semantics/articleArtículo científicohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1https://kidneyfailurerisk.comIrish GL, Cuthbertson L, Kitsos A, Saunder T, Clayton PA, Jose MD. The kidney failure risk equation predicts kidney failure: Validation in an Australian cohort. Nephrology (Carlton). 2023 Jun;28(6):328-335. https://doi.org/10.1111/nep.14160. Epub 2023 Apr 19. PMID: 37076122; PMCID: PMC10946457Ingwiller M, Keller N, Krummel T, Prinz E, Steinmetz L, Hannedouche T, Florens N. Enhancing vascular access planning in CKD: validating the 40% KFRE threshold for predicting ESKD in a French retrospective cohort study. Clin Kidney J. 2024 Jul 13;17(8):sfae220. https://doi.org/10.1093/ckj/sfae220. PMID: 39421238; PMCID: PMC11483627Grams ME, Brunskill NJ, Ballew SH, Sang Y, Coresh J, Matsushita K, Surapaneni A, Bell S, Carrero JJ, Chodick G, Evans M, Heerspink HJL, Inker LA, Iseki K, Kalra PA, Kirchner HL, Lee BJ, Levin A, Major RW, Medcalf J, Nadkarni GN, Naimark DMJ, Ricardo AC, Sawhney S, Sood MM, Staplin N, Stempniewicz N, Stengel B, Sumida K, Traynor JP, van den Brand J, Wen CP, Woodward M, Yang JW, Wang AY, Tangri N. The Kidney Failure Risk Equation: Evaluation of Novel Input Variables including eGFR Estimated Using the CKD-EPI 2021 Equation in 59 Cohorts. J Am Soc Nephrol. 2023 Mar 1;34(3):482-494. https://doi.org/10.1681/ASN.0000000000000050 . Epub 2023 Jan 26. PMID: 36857500; PMCID: PMC10103205.Gallego-Valcarce E, Shabaka A, Tato-Ribera AM, Landaluce-Triska E, León-Poo M, Roldan D, Gruss E. External validation of the KFRE and Grams prediction models for kidney failure and death in a Spanish cohort of patients with advanced chronic kidney disease. J Nephrol. 2024 Mar;37(2):429-437. https://doi.org/10.1007/s40620-023-01819-1. Epub 2023 Dec 7. PMID: 38060108Whitlock RH, Chartier M, Komenda P, Hingwala J, Rigatto C, Walld R, Dart A, Tangri N. Validation of the Kidney Failure Risk Equation in Manitoba. Can J Kidney Health Dis. 2017 Apr 20;4:2054358117705372. https://doi.org/10.1177/2054358117705372. PMID: 28491341; PMCID: PMC5406122.Chu CD, McCulloch CE, Hsu RK, Powe NR, Bieber B, Robinson BM, Raina R, Pecoits-Filho R, Tuot DS. Utility of the Kidney Failure Risk Equation and Estimated GFR for Estimating Time to Kidney Failure in Advanced CKD. Am J Kidney Dis. 2023 Oct;82(4):386-394.e1. https://doi.org/10.1053/j.ajkd.2023.03.014. Epub 2023 Jun 8. PMID: 37301501; PMCID: PMC10588536.Marques da Silva B, Gameiro J. Generalize the use of the kidney failure risk equation (KFRE) for better vascular access planning. Clin Kidney J. 2024 Mar 9;17(4):sfae060. https://doi.org/10.1093/ckj/sfae060. PMID: 38618489; PMCID: PMC11015148Marques da Silva B, Dores M, Silva O, Pereira M, Outerelo C, Fortes A, Lopes JA, Gameiro J. Planning vascular access creation: The promising role of the kidney failure risk equation. J Vasc Access. 2024 Nov;25(6):1828-1834. https://doi.org/10.1177/11297298231186373. Epub 2023 Jul 20. PMID: 37475542Patel DM, Churilla BM, Thiessen-Philbrook H, Sang Y, Grams ME, Parikh CR, Crews DC. Implementation of the Kidney Failure Risk Equation in a United States Nephrology Clinic. Kidney Int Rep. 2023 Sep 12;8(12):2665-2676. https://doi.org/10.1016/j.ekir.2023.09.001. PMID: 38106577; PMCID: PMC10719573.Mutatiri C, Ratsch A, McGrail MR, Venuthur, S, Kondalsamy Chennakesavan S. Referral patterns, disease progression and impact of the kidney failure risk equation (KFRE) in a Queensland Chronic Kidney Disease Registry (CKD.QLD) cohort: a study protocol. BMJ Open. 2022 Feb 22;12(2):e052790. https://doi.org/10.1136/bmjopen-2021-052790. PMID: 35193907; PMCID: PMC8867303.Haggerty LE, Rifkin DE, Nguyen HA, Abdelmalek JA, Sweiss N, Miller LM, Potok OA. Estimates of eskd risk and timely kidney replacement therapy education. BMC Nephrol. 2024 Sep 10;25(1):300. https://doi.org/10.1186/s12882-024-03687-8. PMID: 39256683; PMCID: PMC11384691.Goel N, Kwon C, Zachariah TP, Broker M, Folkert VW, Bauer C, Melamed ML. Vascular access placement in patients with chronic kidney disease Stages 4 and 5 attending an inner city nephrology clinic: a cohort study and survey of providers. BMC Nephrol. 2017 Jan 17;18(1):28. https://doi.org/10.1186/s12882-016-0431-3. PMID: 28095805; PMCID: PMC5240209.Lim LM, Lin MY, Hwang SJ, Chen HC, Chiu YW. Association of glomerular filtration rate slope with timely creation of vascular access in incident hemodialysis. Sci Rep. 2021 Jun 23;11(1):13137. https://doi.org/10.1038/s41598-021-92359-w. PMID: 34162901; PMCID: PMC8222220.Arhuidese IJ, Orandi BJ, Nejim B, Malas M. Utilization, patency, and complications associated with vascular access for hemodialysis in the United States. J Vasc Surg. 2018 Oct;68(4):1166-1174. https://doi.org/10.1016/j.jvs.2018.01.049. PMID: 30244924Lee T, Thamer M, Zhang Y, Zhang Q, Allon M. Outcomes of Elderly Patients after Predialysis Vascular Access Creation. J Am Soc Nephrol. 2015 Dec;26(12):3133-40. https://doi.org/10.1681/ASN.2014090938. Epub 2015 Apr 8. PMID: 25855782; PMCID: PMC4657836Ingwiller M, Krummel T, Dimitrov Y, Muller C, Ott J, Chantrel F, Klein A, Hannedouche T; CERENNE Research Group. Evaluation of a predictive model of end-stage kidney disease in a French-based cohort. Int Urol Nephrol. 2022 Sep;54(9):2335-2342. https://doi.org/10.1007/s11255-022-03138-z. Epub 2022 Feb 9. PMID: 35138583ORIGINALPDF.pdfPDF.pdfapplication/pdf450802https://bonga.unisimon.edu.co/bitstreams/2be446b5-b372-4314-86bb-3edfb8bb6b23/download1a0bf1ed069a4c130cd7164ae8b80344MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8899https://bonga.unisimon.edu.co/bitstreams/3021494b-93a1-4ad4-ae53-589afcb40830/download3b6ce8e9e36c89875e8cf39962fe8920MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-8381https://bonga.unisimon.edu.co/bitstreams/9e5ffec9-1883-49e3-8860-a9e9c545a67d/download733bec43a0bf5ade4d97db708e29b185MD53TEXTPDF.pdf.txtPDF.pdf.txtExtracted texttext/plain36626https://bonga.unisimon.edu.co/bitstreams/e29f6486-f587-42d6-a856-74c2de45644e/download897cd4fb126e70966039f20472838428MD54THUMBNAILPDF.pdf.jpgPDF.pdf.jpgGenerated Thumbnailimage/jpeg4561https://bonga.unisimon.edu.co/bitstreams/4c52c14c-0c44-4798-9087-1ec65afc8383/downloadd89feb0eb7c8a4cb2e4740d31651eb2dMD5520.500.12442/16803oai:bonga.unisimon.edu.co:20.500.12442/168032025-10-08 16:10:51.318http://creativecommons.org/licenses/by-nc-nd/4.0/Attribution-NonCommercial-NoDerivatives 4.0 Internationalopen.accesshttps://bonga.unisimon.edu.coRepositorio Digital Universidad Simón Bolívarrepositorio.digital@unisimon.edu.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 |