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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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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. |
format | Online Article Text |
id | pubmed-8264307 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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