Literature DB >> 35567698

Clinical characteristics and disease outcomes in non-diabetic chronic kidney disease: retrospective analysis of a US healthcare claims database.

Christoph Wanner1, Johannes Schuchhardt2, Chris Bauer2, Stefanie Lindemann3, Meike Brinker4, Sheldon X Kong5, Frank Kleinjung3, Andrea Horvat-Broecker4, Tatsiana Vaitsiakhovich6.   

Abstract

BACKGROUND: The observational, real-world evidence FLIEDER study aimed to describe patient clinical characteristics and investigate clinical outcomes in non-diabetic patients with chronic kidney disease (CKD) using data collected from routine clinical practice in the United States.
METHODS: Between 1 January, 2008-31 December, 2018, individuals aged ≥ 18 years, with non-diabetic, stage 3-4 CKD were indexed in the Optum® Clinformatics® Data Mart US healthcare claims database using International Classification of Diseases-9/10 codes for CKD or by laboratory values (estimated glomerular filtration rate [eGFR] 15-59 mL/min/1.73 m2). The primary outcomes were hospitalization for heart failure, a composite kidney outcome of end-stage kidney disease/kidney failure/need for dialysis and worsening of CKD stage from baseline. The effects of the intercurrent events of a sustained post-baseline decline in eGFR ≥ 30%, ≥ 40%, and ≥ 57% on the subsequent risk of the primary outcomes were also assessed.
RESULTS: In the main study cohort (N = 504,924), median age was 75.0 years, and 60.5% were female. Most patients (94.7%) had stage 3 CKD at index. Incidence rates for hospitalization for heart failure, the composite kidney outcome, and worsening of CKD stage from baseline were 4.0, 10.3, and 4.4 events/100 patient-years, respectively. The intercurrent event analysis demonstrated that a relative decline in kidney function from baseline significantly increased the risk of cardiorenal events.
CONCLUSIONS: This real-world study highlights that patients with non-diabetic CKD are at high risk of serious adverse clinical outcomes, and that this risk is amplified in patients who experienced greater post-baseline eGFR decline.
© 2022. The Author(s).

Entities:  

Keywords:  Chronic kidney disease; Claims database; Non-diabetic CKD; Real-world evidence

Year:  2022        PMID: 35567698     DOI: 10.1007/s40620-022-01340-x

Source DB:  PubMed          Journal:  J Nephrol        ISSN: 1121-8428            Impact factor:   3.902


  21 in total

1.  Renoprotective effect of the angiotensin-receptor antagonist irbesartan in patients with nephropathy due to type 2 diabetes.

Authors:  E J Lewis; L G Hunsicker; W R Clarke; T Berl; M A Pohl; J B Lewis; E Ritz; R C Atkins; R Rohde; I Raz
Journal:  N Engl J Med       Date:  2001-09-20       Impact factor: 91.245

2.  The German Chronic Kidney Disease (GCKD) study: design and methods.

Authors:  Kai-Uwe Eckardt; Barbara Bärthlein; Seema Baid-Agrawal; Andreas Beck; Martin Busch; Frank Eitner; Arif B Ekici; Jürgen Floege; Olaf Gefeller; Hermann Haller; Robert Hilge; Karl F Hilgers; Jan T Kielstein; Vera Krane; Anna Köttgen; Florian Kronenberg; Peter Oefner; Hans-Ulrich Prokosch; André Reis; Matthias Schmid; Elke Schaeffner; Ulla T Schultheiss; Susanne A Seuchter; Thomas Sitter; Claudia Sommerer; Gerd Walz; Christoph Wanner; Gunter Wolf; Martin Zeier; Stephanie Titze
Journal:  Nephrol Dial Transplant       Date:  2011-08-22       Impact factor: 5.992

Review 3.  Chronic Kidney Disease.

Authors:  Angela C Webster; Evi V Nagler; Rachael L Morton; Philip Masson
Journal:  Lancet       Date:  2016-11-23       Impact factor: 79.321

4.  Effects of losartan on renal and cardiovascular outcomes in patients with type 2 diabetes and nephropathy.

Authors:  B M Brenner; M E Cooper; D de Zeeuw; W F Keane; W E Mitch; H H Parving; G Remuzzi; S M Snapinn; Z Zhang; S Shahinfar
Journal:  N Engl J Med       Date:  2001-09-20       Impact factor: 91.245

5.  The definition, classification, and prognosis of chronic kidney disease: a KDIGO Controversies Conference report.

Authors:  Andrew S Levey; Paul E de Jong; Josef Coresh; Meguid El Nahas; Brad C Astor; Kunihiro Matsushita; Ron T Gansevoort; Bertram L Kasiske; Kai-Uwe Eckardt
Journal:  Kidney Int       Date:  2010-12-08       Impact factor: 10.612

6.  Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization.

Authors:  Alan S Go; Glenn M Chertow; Dongjie Fan; Charles E McCulloch; Chi-yuan Hsu
Journal:  N Engl J Med       Date:  2004-09-23       Impact factor: 91.245

7.  The effect of angiotensin-converting-enzyme inhibition on diabetic nephropathy. The Collaborative Study Group.

Authors:  E J Lewis; L G Hunsicker; R P Bain; R D Rohde
Journal:  N Engl J Med       Date:  1993-11-11       Impact factor: 91.245

8.  Forecasting life expectancy, years of life lost, and all-cause and cause-specific mortality for 250 causes of death: reference and alternative scenarios for 2016-40 for 195 countries and territories.

Authors:  Kyle J Foreman; Neal Marquez; Andrew Dolgert; Kai Fukutaki; Nancy Fullman; Madeline McGaughey; Martin A Pletcher; Amanda E Smith; Kendrick Tang; Chun-Wei Yuan; Jonathan C Brown; Joseph Friedman; Jiawei He; Kyle R Heuton; Mollie Holmberg; Disha J Patel; Patrick Reidy; Austin Carter; Kelly Cercy; Abigail Chapin; Dirk Douwes-Schultz; Tahvi Frank; Falko Goettsch; Patrick Y Liu; Vishnu Nandakumar; Marissa B Reitsma; Vince Reuter; Nafis Sadat; Reed J D Sorensen; Vinay Srinivasan; Rachel L Updike; Hunter York; Alan D Lopez; Rafael Lozano; Stephen S Lim; Ali H Mokdad; Stein Emil Vollset; Christopher J L Murray
Journal:  Lancet       Date:  2018-10-16       Impact factor: 79.321

Review 9.  The global epidemiology of hypertension.

Authors:  Katherine T Mills; Andrei Stefanescu; Jiang He
Journal:  Nat Rev Nephrol       Date:  2020-02-05       Impact factor: 28.314

10.  Effects of angiotensin-converting enzyme inhibitors and angiotensin receptor blockers on cardiovascular events in patients with diabetes and overt nephropathy: a meta-analysis of randomised controlled trials.

Authors:  Fan Shunan; Yuan Jiqing; Dong Xue
Journal:  J Renin Angiotensin Aldosterone Syst       Date:  2018 Oct-Dec       Impact factor: 1.636

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