Literature DB >> 31570197

A collaborative, individual-level analysis compared longitudinal outcomes across the International Network of Chronic Kidney Disease (iNETCKD) cohorts.

Paula F Orlandi1, Jing Huang2, Masafumi Fukagawa3, Wendy Hoy4, Vivekanand Jha5, Kook-Hwan Oh6, Laura Sola7, Paul Cockwell8, Adeera Levin9, Harold I Feldman2.   

Abstract

Rates of chronic kidney disease (CKD) progression, end stage kidney disease (ESKD), all-cause mortality, and cardiovascular (CVD) events among individuals with CKD vary widely across countries. Well-characterized demographic, comorbidity, and laboratory markers captured for prospective cohorts may explain, in part, such differences. To investigate whether core characteristics of individuals with CKD explain differences in rates of outcomes, we conducted an individual-level analysis of eight studies that are part of iNET-CKD, an international network of CKD cohort studies. Overall, the rate of CKD progression was 40 events/1000 person-year (95% confidence interval 39 - 41), 28 (27 - 29) for ESKD, 41 (40 - 42) for death, and 29 (28 - 30) for CVD events. However, standardized rates were highly heterogeneous across studies (over 92.5%). Interactions by study group on the association between baseline characteristics and outcomes were then identified. For example, the adjusted hazard ratio for CKD progression was 0.44 (95% confidence interval 0.35 - 0.56) for women vs. men among the Japanese (CKD-JAC), while it was 0.66 (0.59 - 0.75) among the Uruguayan (NRHP). The adjusted hazard ratio for ESKD was 2.02 (95% CI 1.88 - 2.17) per 10 units lower baseline eGFR among Americans (CRIC), while it was 3.01 (2.57 - 3.53) among Canadians (CanPREDDICT) (significant interaction for comparisons across all studies). The risks of CKD progression, ESKD, death, and CVD vary across countries even after accounting for the distributions of age, sex, comorbidities, and laboratory markers. Thus, our findings support the need for a better understanding of specific factors in different populations that explain this variation.
Copyright © 2019 International Society of Nephrology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CKD; CKD progression; epidemiology; international comparisons; risk factors

Year:  2019        PMID: 31570197     DOI: 10.1016/j.kint.2019.07.024

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  15 in total

1.  Longitudinal Follow-Up and Outcomes for Chinese Patients with Stage 1-4 Chronic Kidney Disease.

Authors:  Jinwei Wang; Jicheng Lv; Kevin He; Fang Wang; Bixia Gao; Ming-Hui Zhao; Luxia Zhang
Journal:  Kidney Dis (Basel)       Date:  2021-10-27

2.  Development of predictive score for post-transplant survival based on pre-transplant recipient characteristics.

Authors:  Tai Yeon Koo; Joongyub Lee; Jaeseok Yang
Journal:  Korean J Transplant       Date:  2021-06-30

3.  A Comparative Study of Serum Phosphate and Related Parameters in Chronic Kidney Disease between the USA and Japan.

Authors:  Naohiko Fujii; Takayuki Hamano; Jesse Y Hsu; Enyu Imai; Tadao Akizawa; Kosaku Nitta; Tsuyoshi Watanabe; Satoshi Iimuro; Yasuo Ohashi; Seiichi Matsuo; Hirofumi Makino; Akira Hishida; Arnold B Alper; Edward J Horwitz; Chi-Yuan Hsu; Anna C Porter; Myles Wolf; Wei Yang; Lisa Nessel; Harold I Feldman
Journal:  Am J Nephrol       Date:  2022-02-28       Impact factor: 4.605

4.  Worldwide Disparity in the Relation Between CKD Prevalence and Kidney Failure Risk.

Authors:  Marieke H C van Rijn; Natalia Alencar de Pinho; Jack F Wetzels; Jan A J G van den Brand; Benedicte Stengel
Journal:  Kidney Int Rep       Date:  2020-10-08

Review 5.  The KNOW-CKD Study: What we have learned about chronic kidney diseases.

Authors:  Kook-Hwan Oh; Minjung Kang; Eunjeong Kang; Hyunjin Ryu; Seung Hyeok Han; Tae-Hyun Yoo; Soo Wan Kim; Dong-Wan Chae; Kyu-Beck Lee; Sue K Park; Yeong Hoon Kim; Curie Ahn
Journal:  Kidney Res Clin Pract       Date:  2020-06-30

6.  Indexation of left ventricular mass to predict adverse clinical outcomes in pre-dialysis patients with chronic kidney disease: KoreaN cohort study of the outcome in patients with chronic kidney disease.

Authors:  Sung Woo Lee; Hyang Ki Min; Dong-Wan Chae; Kook-Hwan Oh; Curie Ahn; Wookyung Chung; Joongyub Lee; Yong-Soo Kim; Su Ah Sung
Journal:  PLoS One       Date:  2020-05-19       Impact factor: 3.240

7.  The Indian Chronic Kidney Disease (ICKD) study: baseline characteristics.

Authors:  Vivek Kumar; Ashok Kumar Yadav; Jasmine Sethi; Arpita Ghosh; Manisha Sahay; Narayan Prasad; Santosh Varughese; Sreejith Parameswaran; Natarajan Gopalakrishnan; Prabhjot Kaur; Gopesh K Modi; Kajal Kamboj; Monica Kundu; Vivek Sood; Neeraj Inamdar; Ajay Jaryal; Sanjay Vikrant; Saurabh Nayak; Shivendra Singh; Sishir Gang; Seema Baid-Agrawal; Vivekanand Jha
Journal:  Clin Kidney J       Date:  2021-08-13

8.  Podometrics in Japanese Living Donor Kidneys: Associations with Nephron Number, Age, and Hypertension.

Authors:  Kotaro Haruhara; Takaya Sasaki; Natasha de Zoysa; Yusuke Okabayashi; Go Kanzaki; Izumi Yamamoto; Ian S Harper; Victor G Puelles; Akira Shimizu; Luise A Cullen-McEwen; Nobuo Tsuboi; Takashi Yokoo; John F Bertram
Journal:  J Am Soc Nephrol       Date:  2021-02-24       Impact factor: 10.121

9.  Methods and rationale of the DISCOVER CKD global observational study.

Authors:  Roberto Pecoits-Filho; Glen James; Juan Jesus Carrero; Eric Wittbrodt; Steven Fishbane; Alyshah Abdul Sultan; Hiddo J L Heerspink; Katarina Hedman; Eiichiro Kanda; Hungta Tony Chen; Naoki Kashihara; James Sloand; Mikhail Kosiborod; Supriya Kumar; Mitja Lainscak; Matthew Arnold; Carolyn S P Lam; Björn Holmqvist; Carol Pollock; Peter Fenici; Peter Stenvinkel; Jennie Medin; David C Wheeler
Journal:  Clin Kidney J       Date:  2021-04-11

10.  The Chronic Kidney Disease in Africa (CKD-Africa) collaboration: lessons from a new pan-African network.

Authors:  Cindy George; Suzaan Stoker; Ikechi Okpechi; Mark Woodward; Andre Kengne
Journal:  BMJ Glob Health       Date:  2021-08
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