Literature DB >> 36082014

Using an Electronic Health Record and Deficit Accumulation to Pragmatically Identify Candidates for Optimal Prescribing in Patients With Type 2 Diabetes.

Kathryn E Callahan1,2, Kristin M Lenoir2,3, Chinenye O Usoh4, Jeff D Williamson1,2, LaShanda Y Brown2, Adam W Moses2,3, Molly Hinely5, Zeev Neuwirth6, Nicholas M Pajewski2,7.   

Abstract

Objective: Despite guidelines recommending less stringent glycemic goals for older adults with type 2 diabetes, overtreatment is prevalent. Pragmatic approaches for prioritizing patients for optimal prescribing are lacking. We describe glycemic control and medication patterns for older adults with type 2 diabetes in a contemporary cohort, exploring variability by frailty status. Research Design and
Methods: This was a cross-sectional observational study based on electronic health record (EHR) data, within an accountable care organization (ACO) affiliated with an academic medical center/health system. Participants were ACO-enrolled adults with type 2 diabetes who were ≥65 years of age as of 1 November 2020. Frailty status was determined by an automated EHR-based frailty index (eFI). Diabetes management was described by the most recent A1C in the past 2 years and use of higher-risk medications (insulin and/or sulfonylurea).
Results: Among 16,973 older adults with type 2 diabetes (mean age 75.2 years, 9,154 women [53.9%], 77.8% White), 9,134 (53.8%) and 6,218 (36.6%) were classified as pre-frail (0.10 < eFI ≤0.21) or frail (eFI >0.21), respectively. The median A1C level was 6.7% (50 mmol/mol) with an interquartile range of 6.2-7.5%, and 74.1 and 38.3% of patients had an A1C <7.5% (58 mmol/mol) and <6.5% (48 mmol/mol), respectively. Frailty status was not associated with level of glycemic control (P = 0.08). A majority of frail patients had an A1C <7.5% (58 mmol/mol) (n = 4,544, 73.1%), and among these patients, 1,755 (38.6%) were taking insulin and/or a sulfonylurea.
Conclusion: Treatment with insulin and/or a sulfonylurea to an A1C levels <7.5% is common in frail older adults. Tools such as the eFI may offer a scalable approach to targeting optimal prescribing interventions.
© 2022 by the American Diabetes Association.

Entities:  

Year:  2022        PMID: 36082014      PMCID: PMC9396712          DOI: 10.2337/ds21-0068

Source DB:  PubMed          Journal:  Diabetes Spectr        ISSN: 1040-9165


  36 in total

Review 1.  Frailty in relation to the accumulation of deficits.

Authors:  Kenneth Rockwood; Arnold Mitnitski
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2007-07       Impact factor: 6.053

2.  Frailty Screening Using the Electronic Health Record Within a Medicare Accountable Care Organization.

Authors:  Nicholas M Pajewski; Kristin Lenoir; Brian J Wells; Jeff D Williamson; Kathryn E Callahan
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2019-10-04       Impact factor: 6.053

3.  Potential overtreatment of diabetes mellitus in older adults with tight glycemic control.

Authors:  Kasia J Lipska; Joseph S Ross; Yinghui Miao; Nilay D Shah; Sei J Lee; Michael A Steinman
Journal:  JAMA Intern Med       Date:  2015-03       Impact factor: 21.873

4.  Deintensification of hypoglycaemic medications-use of a systematic review approach to highlight safety concerns in older people with type 2 diabetes.

Authors:  A H Abdelhafiz; A J Sinclair
Journal:  J Diabetes Complications       Date:  2017-11-29       Impact factor: 2.852

5.  Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data.

Authors:  Hude Quan; Vijaya Sundararajan; Patricia Halfon; Andrew Fong; Bernard Burnand; Jean-Christophe Luthi; L Duncan Saunders; Cynthia A Beck; Thomas E Feasby; William A Ghali
Journal:  Med Care       Date:  2005-11       Impact factor: 2.983

Review 6.  American Geriatrics Society identifies another five things that healthcare providers and patients should question.

Authors: 
Journal:  J Am Geriatr Soc       Date:  2014-02-27       Impact factor: 5.562

7.  A new equation to estimate glomerular filtration rate.

Authors:  Andrew S Levey; Lesley A Stevens; Christopher H Schmid; Yaping Lucy Zhang; Alejandro F Castro; Harold I Feldman; John W Kusek; Paul Eggers; Frederick Van Lente; Tom Greene; Josef Coresh
Journal:  Ann Intern Med       Date:  2009-05-05       Impact factor: 25.391

8.  Individualizing life expectancy estimates for older adults using the Gompertz Law of Human Mortality.

Authors:  Sei J Lee; W John Boscardin; Katharine A Kirby; Kenneth E Covinsky
Journal:  PLoS One       Date:  2014-09-29       Impact factor: 3.240

9.  Tight glycemic control and use of hypoglycemic medications in older veterans with type 2 diabetes and comorbid dementia.

Authors:  Carolyn T Thorpe; Walid F Gellad; Chester B Good; Sijian Zhang; Xinhua Zhao; Maria Mor; Michael J Fine
Journal:  Diabetes Care       Date:  2015-01-15       Impact factor: 19.112

10.  Development and validation of an electronic frailty index using routine primary care electronic health record data.

Authors:  Andrew Clegg; Chris Bates; John Young; Ronan Ryan; Linda Nichols; Elizabeth Ann Teale; Mohammed A Mohammed; John Parry; Tom Marshall
Journal:  Age Ageing       Date:  2016-03-03       Impact factor: 10.668

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.