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Methods and rationale of the DISCOVER CKD global observational study

BACKGROUND: Real-world data for patients with chronic kidney disease (CKD), specifically pertaining to clinical management, metabolic control, treatment patterns, quality of life (QoL) and dietary patterns, are limited. Understanding these gaps using real-world, routine care data will improve our un...

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Autores principales: Pecoits-Filho, Roberto, James, Glen, Carrero, Juan Jesus, Wittbrodt, Eric, Fishbane, Steven, Sultan, Alyshah Abdul, Heerspink, Hiddo J L, Hedman, Katarina, Kanda, Eiichiro, Chen, Hungta (Tony), Kashihara, Naoki, Sloand, James, Kosiborod, Mikhail, Kumar, Supriya, Lainscak, Mitja, Arnold, Matthew, Lam, Carolyn S P, Holmqvist, Björn, Pollock, Carol, Fenici, Peter, Stenvinkel, Peter, Medin, Jennie, Wheeler, David C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8264307/
https://www.ncbi.nlm.nih.gov/pubmed/34249352
http://dx.doi.org/10.1093/ckj/sfab046
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author Pecoits-Filho, Roberto
James, Glen
Carrero, Juan Jesus
Wittbrodt, Eric
Fishbane, Steven
Sultan, Alyshah Abdul
Heerspink, Hiddo J L
Hedman, Katarina
Kanda, Eiichiro
Chen, Hungta (Tony)
Kashihara, Naoki
Sloand, James
Kosiborod, Mikhail
Kumar, Supriya
Lainscak, Mitja
Arnold, Matthew
Lam, Carolyn S P
Holmqvist, Björn
Pollock, Carol
Fenici, Peter
Stenvinkel, Peter
Medin, Jennie
Wheeler, David C
author_facet Pecoits-Filho, Roberto
James, Glen
Carrero, Juan Jesus
Wittbrodt, Eric
Fishbane, Steven
Sultan, Alyshah Abdul
Heerspink, Hiddo J L
Hedman, Katarina
Kanda, Eiichiro
Chen, Hungta (Tony)
Kashihara, Naoki
Sloand, James
Kosiborod, Mikhail
Kumar, Supriya
Lainscak, Mitja
Arnold, Matthew
Lam, Carolyn S P
Holmqvist, Björn
Pollock, Carol
Fenici, Peter
Stenvinkel, Peter
Medin, Jennie
Wheeler, David C
author_sort Pecoits-Filho, Roberto
collection PubMed
description BACKGROUND: Real-world data for patients with chronic kidney disease (CKD), specifically pertaining to clinical management, metabolic control, treatment patterns, quality of life (QoL) and dietary patterns, are limited. Understanding these gaps using real-world, routine care data will improve our understanding of the challenges and consequences faced by patients with CKD, and will facilitate the long-term goal of improving their management and prognosis. METHODS: DISCOVER CKD follows an enriched hybrid study design, with both retrospective and prospective patient cohorts, integrating primary and secondary data from patients with CKD from China, Italy, Japan, Sweden, the UK and the USA. Data will be prospectively captured over a 3-year period from >1000 patients with CKD who will be followed up for at least 1 year via electronic case report form entry during routine clinical visits and also via a mobile/tablet-based application, enabling the capture of patient-reported outcomes (PROs). In-depth interviews will be conducted in a subset of ∼100 patients. Separately, secondary data will be retrospectively captured from >2 000 000 patients with CKD, extracted from existing datasets and registries. RESULTS: The DISCOVER CKD program captures and will report on patient demographics, biomarker and laboratory measurements, medical histories, clinical outcomes, healthcare resource utilization, medications, dietary patterns, physical activity and PROs (including QoL and qualitative interviews). CONCLUSIONS: The DISCOVER CKD program will provide contemporary real-world insight to inform clinical practice and improve our understanding of the epidemiology and clinical and economic burden of CKD, as well as determinants of clinical outcomes and PROs from a range of geographical regions in a real-world CKD setting.
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spelling pubmed-82643072021-07-08 Methods and rationale of the DISCOVER CKD global observational study Pecoits-Filho, Roberto James, Glen Carrero, Juan Jesus Wittbrodt, Eric Fishbane, Steven Sultan, Alyshah Abdul Heerspink, Hiddo J L Hedman, Katarina Kanda, Eiichiro Chen, Hungta (Tony) Kashihara, Naoki Sloand, James Kosiborod, Mikhail Kumar, Supriya Lainscak, Mitja Arnold, Matthew Lam, Carolyn S P Holmqvist, Björn Pollock, Carol Fenici, Peter Stenvinkel, Peter Medin, Jennie Wheeler, David C Clin Kidney J Original Articles BACKGROUND: Real-world data for patients with chronic kidney disease (CKD), specifically pertaining to clinical management, metabolic control, treatment patterns, quality of life (QoL) and dietary patterns, are limited. Understanding these gaps using real-world, routine care data will improve our understanding of the challenges and consequences faced by patients with CKD, and will facilitate the long-term goal of improving their management and prognosis. METHODS: DISCOVER CKD follows an enriched hybrid study design, with both retrospective and prospective patient cohorts, integrating primary and secondary data from patients with CKD from China, Italy, Japan, Sweden, the UK and the USA. Data will be prospectively captured over a 3-year period from >1000 patients with CKD who will be followed up for at least 1 year via electronic case report form entry during routine clinical visits and also via a mobile/tablet-based application, enabling the capture of patient-reported outcomes (PROs). In-depth interviews will be conducted in a subset of ∼100 patients. Separately, secondary data will be retrospectively captured from >2 000 000 patients with CKD, extracted from existing datasets and registries. RESULTS: The DISCOVER CKD program captures and will report on patient demographics, biomarker and laboratory measurements, medical histories, clinical outcomes, healthcare resource utilization, medications, dietary patterns, physical activity and PROs (including QoL and qualitative interviews). CONCLUSIONS: The DISCOVER CKD program will provide contemporary real-world insight to inform clinical practice and improve our understanding of the epidemiology and clinical and economic burden of CKD, as well as determinants of clinical outcomes and PROs from a range of geographical regions in a real-world CKD setting. Oxford University Press 2021-04-11 /pmc/articles/PMC8264307/ /pubmed/34249352 http://dx.doi.org/10.1093/ckj/sfab046 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of ERA-EDTA. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Pecoits-Filho, Roberto
James, Glen
Carrero, Juan Jesus
Wittbrodt, Eric
Fishbane, Steven
Sultan, Alyshah Abdul
Heerspink, Hiddo J L
Hedman, Katarina
Kanda, Eiichiro
Chen, Hungta (Tony)
Kashihara, Naoki
Sloand, James
Kosiborod, Mikhail
Kumar, Supriya
Lainscak, Mitja
Arnold, Matthew
Lam, Carolyn S P
Holmqvist, Björn
Pollock, Carol
Fenici, Peter
Stenvinkel, Peter
Medin, Jennie
Wheeler, David C
Methods and rationale of the DISCOVER CKD global observational study
title Methods and rationale of the DISCOVER CKD global observational study
title_full Methods and rationale of the DISCOVER CKD global observational study
title_fullStr Methods and rationale of the DISCOVER CKD global observational study
title_full_unstemmed Methods and rationale of the DISCOVER CKD global observational study
title_short Methods and rationale of the DISCOVER CKD global observational study
title_sort methods and rationale of the discover ckd global observational study
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8264307/
https://www.ncbi.nlm.nih.gov/pubmed/34249352
http://dx.doi.org/10.1093/ckj/sfab046
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