Excess risk of cardiovascular events in patients in the United States vs. Japan with chronic kidney disease is mediated mainly by left ventricular structure and function.

Humans United States / epidemiology Japan / epidemiology C-Reactive Protein Risk Factors Renal Insufficiency, Chronic / complications Cardiovascular Diseases / diagnosis Hypertrophy, Left Ventricular / diagnostic imaging
cardiovascular disease chronic kidney disease left ventricular hypertrophy mediation analysis

Journal

Kidney international
ISSN: 1523-1755
Titre abrégé: Kidney Int
Pays: United States
ID NLM: 0323470

Informations de publication

Date de publication:
05 2023
Historique:
received: 27 06 2022
revised: 31 12 2022
accepted: 13 01 2023
medline: 25 4 2023
pubmed: 5 2 2023
entrez: 4 2 2023
Statut: ppublish

Résumé

While patients receiving dialysis therapy in the United States are more likely to develop cardiovascular disease (CVD) than those in Japan, direct comparisons of patients with predialysis chronic kidney disease (CKD) are rare. To study this, we compared various outcomes in patients with predialysis CKD using data from the Chronic Renal Insufficiency Cohort (CRIC) and CKD Japan Cohort (CKD-JAC) studies and determined mediators of any differences. Candidate mediators included left ventricular (LV) indices assessed by echocardiography. Among 3125 CRIC and 1097 CKD-JAC participants, the mean LV mass index (LVMI) and ejection fraction (EF) were 55.7 and 46.6 g/m

Identifiants

DOI: 10.1016/j.kint.2023.01.008 PMID: 36738890
pubmed: 36738890
pii: S0085-2538(23)00055-8
doi: 10.1016/j.kint.2023.01.008
pii:
doi:

Substances chimiques

C-Reactive Protein 9007-41-4

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

949-961

Subventions

Organisme : NCATS NIH HHS
ID : UL1 TR000439
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR000424
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK060963
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK119199
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK061021
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK060980
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK060984
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR000003
Pays : United States
Organisme : NCRR NIH HHS
ID : M01 RR016500
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK060990
Pays : United States
Organisme : NCRR NIH HHS
ID : UL1 RR024131
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK061028
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK060902
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK061022
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR000433
Pays : United States
Organisme : NCRR NIH HHS
ID : UL1 RR029879
Pays : United States

Investigateurs

Lawrence J Appel (LJ)
Jing Chen (J)
Debbie L Cohen (DL)
James P Lash (JP)
Robert G Nelson (RG)
Panduranga S Rao (PS)
Mahboob Rahman (M)
Vallabh O Shah (VO)
Mark L Unruh (ML)

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2023 International Society of Nephrology. Published by Elsevier Inc. All rights reserved.

Auteurs

Takahiro Imaizumi (T)

Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Department of Advanced Medicine, Nagoya University Hospital, Nagoya, Aichi, Japan; Department of Nephrology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan; Department of Nephrology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan.

Naohiko Fujii (N)

Medical and Research Center for Nephrology and Transplantation, Hyogo Prefectural Nishinomiya Hospital, Nishinomiya, Hyōgo, Japan.

Takayuki Hamano (T)

Department of Nephrology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan; Department of Nephrology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan. Electronic address: hamatea@med.nagoya-cu.ac.jp.

Wei Yang (W)

Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Masataka Taguri (M)

Department of Health Data Science, Tokyo Medical University, Tokyo, Japan.

Mayank Kansal (M)

Department of Medicine, School of Medicine, University of Illinois, Chicago, Illinois, USA.

Rupal Mehta (R)

Division of Nephrology and Hypertension, Department of Medicine and Center for Translational Metabolism and Health, Institute for Public Health and Medicine, Chicago, Illinois, USA; Department of Preventive Medicine Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.

Tariq Shafi (T)

School of Medicine, John Hopkins University, Baltimore, Maryland, USA.

Jonathan Taliercio (J)

Department of Nephrology and Hypertension, Cleveland Clinic, Cleveland, Ohio, USA.

Alan Go (A)

Departments of Epidemiology, Biostatistics and Medicine, University of California at San Francisco, San Francisco, California, USA.

Panduranga Rao (P)

Department of Internal Medicine, Division of Nephrology, University of Michigan Health System, Ann Arbor, Michigan, USA.

L Lee Hamm (LL)

Department of Medicine, Tulane University School of Medicine, New Orleans, Louisiana, USA.

Rajat Deo (R)

Departments of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Shoichi Maruyama (S)

Department of Nephrology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.

Masafumi Fukagawa (M)

Department of Internal Medicine, Division of Nephrology, Endocrinology and Metabolism, Tokai University School of Medicine, Isehara, Kanagawa, Japan.

Harold I Feldman (HI)

Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

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Classifications MeSH

questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Excess risk of cardiovascular events in...
questionsmedicales.fr › Régions géographiques › Amériques › Amérique du Nord › États-Unis › Excess risk of cardiovascular events in...
questionsmedicales.fr › Régions géographiques › Iles › Japon › Excess risk of cardiovascular events in...
questionsmedicales.fr › Acides aminés, peptides et protéines › Protéines › Protéines du sang › Immunoprotéines › Protéine C-réactive › Excess risk of cardiovascular events in...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Probabilité › Risque › Facteurs de risque › Excess risk of cardiovascular events in...
questionsmedicales.fr › États, signes et symptômes pathologiques › Processus pathologiques › Caractéristiques de la maladie › Maladie chronique › Insuffisance rénale chronique › Excess risk of cardiovascular events in...
questionsmedicales.fr › Maladies cardiovasculaires › Excess risk of cardiovascular events in...
questionsmedicales.fr › États, signes et symptômes pathologiques › États anatomopathologiques › Hypertrophie › Cardiomégalie › Hypertrophie ventriculaire gauche › Excess risk of cardiovascular events in...