Literature DB >> 24639086

Intensification of antihyperglycemic therapy among patients with incident diabetes: a Surveillance Prevention and Management of Diabetes Mellitus (SUPREME-DM) study.

Marsha A Raebel1, Jennifer L Ellis, Emily B Schroeder, Stanley Xu, Patrick J O'Connor, Jodi B Segal, Melissa G Butler, Julie A Schmittdiel, H Lester Kirchner, Glenn K Goodrich, Jean M Lawrence, Gregory A Nichols, Katherine M Newton, Ram D Pathak, John F Steiner.   

Abstract

PURPOSE: Antihyperglycemic medication intensification practices among patients with incident diabetes are incompletely understood. We characterized the first intensification the year after oral antihyperglycemic medication initiation among incident diabetes patients.
METHODS: This retrospective cohort study across 11 US health systems included adults identified with incident diabetes between 2005 and 2009 who started oral antihyperglycemic monotherapy or combination therapy within 6 months after diabetes identification. We determined intensification, defined as increased index medication dosage, addition of another oral medication, or switch to/addition of insulin 31-365 days after initial antihyperglycemic dispensing. Cox regression was used to assess intensification for patient, temporal, and system covariates, adjusting for glycosylated hemoglobin (HbA1c) as a time-dependent variable.
RESULTS: Among 41,233 patients, 33.5% and 45.3% had treatment intensified within 6 and 12 months, respectively. This first intensification was most often with increased index medication dosage (78%), least often with insulin (<1%). HbA1c% was strongly associated with intensification (adjusted hazard ratios [HR] 1.59, 3.62, 4.44, and 5.52 for HbA1c 6.5% to <7%, 7% to <7.5%, 7.5 to <8%, and ≥8%, respectively, all P < 0.001, compared with HbA1c < 6.5%). In patients initially on monotherapy, age modified the HbA1c effect: at HbA1c < 7%, the HR differed little between middle-aged and older patients; at HbA1c ≥ 7%, the HR decreased with older age (e.g., age 40-49 years and HbA1c ≥ 8%: HR 8.14; age ≥ 80 years and HbA1c ≥ 8%: HR 4.44; compared with age ≥ 80 years and HbA1c < 6.5%). Within 1 year, 84.3% achieved HbA1c < 8%; 65.1% achieved HbA1c < 7%.
CONCLUSIONS: Clinicians appear to be applying treatment intensification guidelines and individualizing therapy by considering patient age, achieving glycemic control among most incident diabetes patients.
Copyright © 2014 John Wiley & Sons, Ltd.

Entities:  

Keywords:  adult; antihyperglycemic medication; glycosylated hemoglobin; incident diabetes; metformin; pharmacoepidemiology; sulfonylurea; treatment intensification

Mesh:

Substances:

Year:  2014        PMID: 24639086     DOI: 10.1002/pds.3610

Source DB:  PubMed          Journal:  Pharmacoepidemiol Drug Saf        ISSN: 1053-8569            Impact factor:   2.890


  12 in total

1.  Early glycaemic control in metformin users receiving their first add-on therapy: a population-based study of 4,734 people with type 2 diabetes.

Authors:  Reimar W Thomsen; Lisbeth M Baggesen; Mette Søgaard; Lars Pedersen; Helene Nørrelund; Esben S Buhl; Christiane L Haase; Søren P Johnsen
Journal:  Diabetologia       Date:  2015-08-16       Impact factor: 10.122

2.  Severe Hypoglycemia Requiring Medical Intervention in a Large Cohort of Adults With Diabetes Receiving Care in U.S. Integrated Health Care Delivery Systems: 2005-2011.

Authors:  Ram D Pathak; Emily B Schroeder; Elizabeth R Seaquist; Chan Zeng; Jennifer Elston Lafata; Abraham Thomas; Jay Desai; Beth Waitzfelder; Gregory A Nichols; Jean M Lawrence; Andrew J Karter; John F Steiner; Jodi Segal; Patrick J O'Connor
Journal:  Diabetes Care       Date:  2015-12-17       Impact factor: 19.112

3.  Comparative effectiveness of early versus delayed metformin in the treatment of type 2 diabetes.

Authors:  Robert J Romanelli; Sukyung Chung; Jia Pu; Vani Nimbal; Beinan Zhao; Latha Palaniappan
Journal:  Diabetes Res Clin Pract       Date:  2015-01-21       Impact factor: 5.602

4.  Methods for engaging stakeholders in comparative effectiveness research: a patient-centered approach to improving diabetes care.

Authors:  Julie A Schmittdiel; Jay Desai; Emily B Schroeder; Andrea R Paolino; Gregory A Nichols; Jean M Lawrence; Patrick J O'Connor; Kris A Ohnsorg; Katherine M Newton; John F Steiner
Journal:  Healthc (Amst)       Date:  2015-03-13

5.  Relationships between Medication Adherence and Cardiovascular Disease Risk Factor Control in Elderly Patients with Diabetes.

Authors:  Marsha A Raebel; Wendy Dyer; Gregory A Nichols; Glenn K Goodrich; Julie A Schmittdiel
Journal:  Pharmacotherapy       Date:  2017-09-12       Impact factor: 4.705

6.  Technology-Enabled Outreach to Patients Taking High-Risk Medications Reduces a Quality Gap in Completion of Clinical Laboratory Testing.

Authors:  Marsha A Raebel; Susan M Shetterly; Bharati Bhardwaja; Andrew T Sterrett; Emily B Schroeder; Joseph Chorny; Tyson P Hagen; David J Silverman; Rex Astles; Ira M Lubin
Journal:  Popul Health Manag       Date:  2019-05-20       Impact factor: 2.459

7.  Identifying Preanalytic and Postanalytic Laboratory Quality Gaps Using a Data Warehouse and Structured Multidisciplinary Process.

Authors:  Marsha A Raebel; LeeAnn M Quintana; Emily B Schroeder; Susan M Shetterly; Lisa E Pieper; Paul L Epner; Laura K Bechtel; David H Smith; Andrew T Sterrett; Joseph A Chorny; Ira M Lubin
Journal:  Arch Pathol Lab Med       Date:  2018-12-10       Impact factor: 5.534

8.  Medication Adherence Does Not Explain Black-White Differences in Cardiometabolic Risk Factor Control among Insured Patients with Diabetes.

Authors:  Jennifer Elston Lafata; Andrew J Karter; Patrick J O'Connor; Heather Morris; Julie A Schmittdiel; Scott Ratliff; Katherine M Newton; Marsha A Raebel; Ram D Pathak; Abraham Thomas; Melissa G Butler; Kristi Reynolds; Beth Waitzfelder; John F Steiner
Journal:  J Gen Intern Med       Date:  2016-02       Impact factor: 5.128

9.  Health care system-level factors associated with performance on Medicare STAR adherence metrics in a large, integrated delivery system.

Authors:  Julie A Schmittdiel; Gregory A Nichols; Wendy Dyer; John F Steiner; Andrew J Karter; Marsha A Raebel
Journal:  Med Care       Date:  2015-04       Impact factor: 2.983

10.  A review of cardiovascular outcomes in the treatment of people with type 2 diabetes.

Authors:  George Dailey; Edward Wang
Journal:  Diabetes Ther       Date:  2014-12-17       Impact factor: 2.945

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