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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.
  • Pecoits-Filho R; School of Medicine, Pontifícia Universidade Católica do Paraná, Curitiba, Brazil.
  • James G; Arbor Research Collaborative for Health, Ann Arbor, MI, USA.
  • Carrero JJ; AstraZeneca, Cambridge, UK.
  • Wittbrodt E; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Fishbane S; AstraZeneca, Gaithersburg, MD, USA.
  • Sultan AA; Division of Nephrology, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.
  • Heerspink HJL; AstraZeneca, Cambridge, UK.
  • Hedman K; Department of Clinical Pharmacy and Pharmacology, University of Groningen, Groningen, the Netherlands.
  • Kanda E; AstraZeneca, Gothenburg, Sweden.
  • Chen HT; Medical Science, Kawasaki Medical School, Kurashiki, Japan.
  • Kashihara N; AstraZeneca, Gaithersburg, MD, USA.
  • Sloand J; Department of Nephrology and Hypertension, Kawasaki Medical School, Kurashiki, Japan.
  • Kosiborod M; AstraZeneca, Gaithersburg, MD, USA.
  • Kumar S; Saint Luke's Mid America Heart Institute, University of Missouri-Kansas City, Kansas City, MO, USA.
  • Lainscak M; AstraZeneca, Gaithersburg, MD, USA.
  • Arnold M; Division of Cardiology, General Hospital Murska Sobota, Murska Sobota, Slovenia.
  • Lam CSP; Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
  • Holmqvist B; AstraZeneca, Cambridge, UK.
  • Pollock C; National Heart Centre, Singapore.
  • Fenici P; Duke-NUS Medical School, Singapore.
  • Stenvinkel P; AstraZeneca, Gothenburg, Sweden.
  • Medin J; Kolling Institute, Royal North Shore Hospital, University of Sydney, Sydney, NSW, Australia.
  • Wheeler DC; AstraZeneca, Cambridge, UK.
Clin Kidney J ; 14(6): 1570-1578, 2021 Jun.
Article in English | MEDLINE | ID: covidwho-2160997
ABSTRACT

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.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Observational study / Prognostic study / Qualitative research Language: English Journal: Clin Kidney J Year: 2021 Document Type: Article Affiliation country: Ckj

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Observational study / Prognostic study / Qualitative research Language: English Journal: Clin Kidney J Year: 2021 Document Type: Article Affiliation country: Ckj