Literature DB >> 33722396

Adherence to Chronic Kidney Disease Screening Guidelines Among Patients With Type 2 Diabetes in a US Administrative Claims Database.

Kerstin Folkerts1, Natalia Petruski-Ivleva2, Erin Comerford2, Michael Blankenburg3, Thomas Evers1, Alain Gay3, Linda Fried4, Csaba P Kovesdy5.   

Abstract

OBJECTIVE: To examine the screening rates for kidney damage and function among patients with type 2 diabetes (T2D) and chronic kidney disease stage at diabetes diagnosis using a US administrative claims database. PATIENTS AND METHODS: This cohort study used a claims database enriched with laboratory results data. Patients with T2D (defined as 1 inpatient or 2 outpatient claims for diabetes), aged 18 years or older, and with at least 1 year of follow-up enrollment were identified. Patients with type 1 diabetes, kidney disease, or other related conditions at baseline were excluded. We estimated screening rates using laboratory orders for serum creatinine and estimated glomerular filtration rate (eGFR) measurement and urine albumin to creatinine ratio (UACR). Chronic kidney disease severity was reported using the Kidney Disease: Improving Global Outcomes classification based on laboratory results.
RESULTS: A total of 1,881,447 patients with T2D were eligible for analysis. Mean ± SD age was 63.1±13.1 years; 947,150 patients (50.3%) were male. Serum creatinine tests were ordered within 14 days of the index date among 290,722 patients of 622,915 (46.7%) patients with newly-recognized T2D. Overall, 1,595,964 patients (84.8%) had at least one serum creatinine test ordered during the 1-year follow-up period. Fewer patients received a UACR test during follow-up (814,897 [43.3%]). Less than half of all patients with T2D received a laboratory test order for both serum creatinine and urine albumin measurements during the follow-up period.
CONCLUSION: Physicians treating patients with diabetes are selectively adhering to chronic kidney disease screening guidelines, as indicated by high rates of eGFR testing, but less frequent UACR testing. Despite recommendations to monitor both eGFR and UACR, less than half of patients were screened for albuminuria during the 1-year follow-up.
Copyright © 2020 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.

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Year:  2021        PMID: 33722396     DOI: 10.1016/j.mayocp.2020.07.037

Source DB:  PubMed          Journal:  Mayo Clin Proc        ISSN: 0025-6196            Impact factor:   7.616


  4 in total

1.  Ten-Year Risk-Prediction Equations for Incident Heart Failure Hospitalizations in Chronic Kidney Disease: Findings from the Chronic Renal Insufficiency Cohort Study and the Multi-Ethnic Study of Atherosclerosis.

Authors:  Rupal Mehta; Hongyan Ning; Nisha Bansal; Jordana Cohen; Anand Srivastava; Mirela Dobre; Erin D Michos; Mahboob Rahman; Raymond Townsend; Stephen Seliger; James P Lash; Tamara Isakova; Donald M Lloyd-Jones; Sadiya S Khan
Journal:  J Card Fail       Date:  2021-11-08       Impact factor: 6.592

2.  A synergistic effect of variability in estimated glomerular filtration rate with chronic kidney disease on all-cause mortality prediction in patients with type 2 diabetes: a retrospective cohort study.

Authors:  Yu-Shan Chang; Yu-Hsuan Li; I-Te Lee
Journal:  Cardiovasc Diabetol       Date:  2021-10-18       Impact factor: 9.951

3.  Trends in diabetes-related complications in Singapore, 2013-2020: A registry-based study.

Authors:  Joshua Kuan Tan; Nur Nasyitah Mohamed Salim; Gek Hsiang Lim; Sing Yi Chia; Julian Thumboo; Yong Mong Bee
Journal:  PLoS One       Date:  2022-10-11       Impact factor: 3.752

4.  Predictive Risk Models to Identify Patients at High-Risk for Severe Clinical Outcomes With Chronic Kidney Disease and Type 2 Diabetes.

Authors:  Richard Sheer; Radhika Nair; Margaret K Pasquale; Thomas Evers; Meghan Cockrell; Alain Gay; Rakesh Singh; Niklas Schmedt
Journal:  J Prim Care Community Health       Date:  2022 Jan-Dec
  4 in total

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