Early Identification of CKD-A Scoping Review of the Global Populations.

chronic kidney disease early detection estimated glomerular filtration rate intervention measurement screening

Journal

Kidney international reports
ISSN: 2468-0249
Titre abrégé: Kidney Int Rep
Pays: United States
ID NLM: 101684752

Informations de publication

Date de publication:
Jun 2022
Historique:
received: 17 01 2022
revised: 18 03 2022
accepted: 28 03 2022
entrez: 10 6 2022
pubmed: 11 6 2022
medline: 11 6 2022
Statut: epublish

Résumé

Decisions on whether to screen for chronic kidney disease (CKD) or not remain contentious in nephrology. This study provides a global overview of early CKD identification efforts. Guidelines for scoping reviews were followed and studies were identified by searching MEDLINE, EMBASE, Cochrane Library, CINAHL, ISI Web of Science, and PsycINFO. Data extracted from included studies focused on the following 4 themes: study population, measurement methods, interventions used, and available policies. We identified 290 CKD screening and detection programs from 83 countries. Overall sample size was 3.72 million (North East Asia: 1.19 million), detection of CKD was the aim in 97.6%, 63.1% used population-based screening methods, and only 12.4% were in rural populations. Reported CKD prevalence (stages 3-5) was higher in targeted- (14.8%) than population-based studies (8.0%). Number of persons needed to screen (NNS) to identify 1 case was also lower in targeted studies (7 vs. 13). Single measurements (80%) and the combination of estimation of glomerular filtration rate with a urine test (albuminuria/proteinuria) (71.4%) were frequently used to detect CKD. Only 2.8% of studies included an intervention such as pharmacotherapy in identified cases. Policies on early identification were available in 30.1% of countries included. Methods for early CKD identification vary worldwide, often leading to wide variations in the reported prevalence. Efforts to standardize measurement methods for early detection focusing on high-risk populations and ensuring appropriate interventions are available to those identified with CKD will improve the value of programs and improve patient outcomes.

Identifiants

pubmed: 35685314
doi: 10.1016/j.ekir.2022.03.031
pii: S2468-0249(22)01251-7
pmc: PMC9171699
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1341-1353

Informations de copyright

© 2022 International Society of Nephrology. Published by Elsevier Inc.

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Auteurs

Ikechi G Okpechi (IG)

Department of Medicine, University of Alberta, Edmonton, Alberta, Canada.
Division of Nephrology and Hypertension, University of Cape Town, Cape Town, South Africa.
Kidney and Hypertension Research Unit, University of Cape Town, Cape Town, South Africa.

Fergus J Caskey (FJ)

Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.

Abduzhappar Gaipov (A)

Department of Medicine, Nazarbayev University School of Medicine, Nur-Sultan, Kazakhstan.

Elliot K Tannor (EK)

Renal Unit, Department of Medicine, Komfo Anokye Teaching Hospital, Kumasi, Ghana.
Department of Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.

Jean Jacques Noubiap (JJ)

Centre for Heart Rhythm Disorders, The University of Adelaide, Adelaide, South Australia, Australia.

Emmanuel Effa (E)

Department of Medicine, University of Calabar, Calabar, Nigeria.
Department of Internal Medicine, Edward Francis Small Teaching Hospital, Banjul, The Gambia.

Udeme E Ekrikpo (UE)

Department of Internal Medicine, University of Uyo, Uyo, Nigeria.

Laura N Hamonic (LN)

John W. Scott Health Sciences Library, University of Alberta, Edmonton, Alberta, Canada.

Gloria Ashuntantang (G)

Department of Internal Medicine and Specialties, Faculty of Medicine and Biomedical Sciences, University of Yaoundé 1, Yaoundé, Cameroon.

Aminu K Bello (AK)

Department of Medicine, University of Alberta, Edmonton, Alberta, Canada.

Jo-Ann Donner (JA)

International Society of Nephrology, Brussels, Belgium.

Ana E Figueiredo (AE)

School of Health Science and Life-Nursing School, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil.

Reiko Inagi (R)

Division of Chronic Kidney Disease Pathophysiology, The University of Tokyo Graduate School of Medicine, Tokyo, Japan.

Magdalena Madero (M)

Department of Medicine, Division of Nephrology, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, Mexico.

Charu Malik (C)

International Society of Nephrology, Brussels, Belgium.

Monica Moorthy (M)

International Society of Nephrology, Brussels, Belgium.

Roberto Pecoits-Filho (R)

Arbor Research Collaborative for Health, Ann Arbor, Michigan, USA.
School of Medicine, Pontificia Universidade Catolica do Parana, Curitiba, Brazil.

Vladimir Tesar (V)

Department of Nephrology, 1st Faculty of Medicine, General University Hospital, Charles University, Prague, Czech Republic.

Adeera Levin (A)

Division of Nephrology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.

Vivekanand Jha (V)

George Institute for Global Health, University of New South Wales, New Delhi, India.
School of Public Health, Imperial College, London, UK.
Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India.

Classifications MeSH