Literature DB >> 27981503

Lack of Evidence to Guide Deprescribing of Antihyperglycemics: A Systematic Review.

Cody D Black1, Wade Thompson2,3, Vivian Welch2,3,4, Lisa McCarthy5,6, Carlos Rojas-Fernandez7, Heather Lochnan8,9, Salima Shamji10, Ross Upshur11, Barbara Farrell2,7,10.   

Abstract

INTRODUCTION: Individualizing glycemic targets to goals of care and time to benefit in persons with type 2 diabetes is good practice, particularly in populations at risk of hypoglycemia and adverse outcomes relating to the use of antihyperglycemics. Guidelines acknowledge the need for relaxed targets in frail older adults, but there is little guidance on how to safely deprescribe (i.e. stop, reduce or substitute) antihyperglycemics.
METHODS: The purpose of this study was to synthesize evidence from all studies evaluating the effects of deprescribing versus continuing antihyperglycemics in older adults with type 2 diabetes. To this end, we searched MEDLINE, EMBASE, and Cochrane Library (July 2015) for controlled studies evaluating the effects of deprescribing antihyperglycemics in adults with type 2 diabetes. All such studies were eligible for inclusion in our study, and two independent reviewers screened titles, abstracts and full-text articles, extracted data, and evaluated risk of bias. Grading of Recommendations Assessment, Development and Evaluation (GRADE) assessment and a narrative summary were completed.
RESULTS: We identified two controlled before-and-after studies, both of very low quality. One study found that an educational intervention decreased glyburide use while not compromising glucose control. The other reported that cessation of antihyperglycemics in elderly nursing home patients resulted in a non-significant increase in glycated hemoglobin (HbA1C). No significant change in hypoglycemia rate was found in the only study with this outcome measure.
CONCLUSIONS: There is limited evidence available regarding deprescribing antihyperglycemic medications. Adequately powered, high-quality studies, particularly in the elderly and with clinically important outcomes, are required to support evidence-based decision-making. PROTOCOL REGISTRATION NUMBER: CRD42015017748.

Entities:  

Keywords:  Antihyperglycemics; Deprescribing; Elderly; Type 2 Diabetes

Year:  2016        PMID: 27981503      PMCID: PMC5306119          DOI: 10.1007/s13300-016-0220-9

Source DB:  PubMed          Journal:  Diabetes Ther            Impact factor:   2.945


Introduction

Due to uncertainty regarding the benefits of intensive glycemic control in older persons, and the potential for harm from overtreatment in this population [1], organizations such as the Canadian Diabetes Association suggest a glycated hemoglobin (HbA1C) level of <8–8.5% in frail older adults as an appropriate target (consensus based) [2]. In older adults with diabetes, it is often unclear whether reducing glucose achieves meaningful risk reduction or prevents complications of hyperglycemia. Aggressive glycemic control has been questioned in the frail elderly and those with limited life expectancy, and adverse effects such as hypoglycemia are of concern [3, 4]. Despite efforts to reduce the risk of hypoglycemia in the elderly by relaxing glycemic control, there is little information on how to deprescribe, which includes reducing the dose or stopping/switching antihyperglycemic medications in order to individualize HbA1C targets. Clinicians are aware that relaxed glycemic targets may be appropriate in older patients, but they require guidance to assist with deprescribing [5]. To address this knowledge gap, we conducted a systematic review to identify studies that have evaluated the benefits and harms of deprescribing antihyperglycemics in adults with type 2 diabetes (T2DM).

Methods

Our protocol was registered in PROSPERO (CRD42015025727). We followed PRISMA guidelines [6]. This article is based on previously conducted studies and does not involve any new studies of human or animal subjects performed by any of the authors.

Data Sources and Searches

MEDLINE (1946 onward), EMBASE (1947 onward), and the Cochrane Library through to July 2015 were searched for relevant studies. The references of relevant studies were scanned. In addition, we searched clinicaltrials.gov, the World Health Organization Clinical Trials Registry, UpToDate, and Google Scholar. There was no limitation based on language. The search strategy can be found in Electronic Supplementary Material (ESM) Appendix 1.

Study Selection

Relevant studies included those involving patients aged ≥18 years who were taking antihyperglycemic medications for T2DM in any setting. For inclusion in our analysis, the following study designs were eligible, with no minimum follow-up time or sample size: randomized controlled trials, controlled before–after studies, interrupted time series, case–control studies, and prospective and retrospective cohort studies. Included studies compared the spectrum of deprescribing approaches (stopping drug treatment entirely, reducing dose, gradual tapering, or substitution) of at least one medication (insulin, metformin, sulfonylureas, thiazolidinediones, meglitinides, alpha-glucosidase inhibitors, dipeptidyl peptidase IV inhibitors, pramlintide, glucagon-like peptide-1 agonists) to continuing these medications. Included studies had to report on at least one of the following: hypoglycemia, falls, adverse drug reactions, frequency of blood glucose testing, blood glucose levels, HbA1C levels, pill burden, emergency room visits and hospitalizations, quality of life and patient satisfaction, length of stay in hospital, microvascular complications, macrovascular outcomes, polyuria, hyperglycemia, and/or sleep disturbances.

Data Extraction and Quality Assessment

Two independent reviewers screened titles and abstracts and evaluated full-text articles against eligibility criteria. The reviewers independently extracted data from eligible articles using a pilot-tested form. We extracted the following: year, journal, funding, study design, number of participants, proportion of male/female participants, comorbidities, duration of diabetes, concomitant medications, study medications, doses, frequency, duration and stopping/tapering/switching regimen and outcomes on benefits and harms of deprescribing.

Data Synthesis and Analysis

Two independent reviewers conducted risk of bias assessments for eligible studies using Cochrane’s ROBINS-I tool [7]. We conducted a narrative synthesis of results, using methods described in our registered protocol [8]. Grading of Recommendations Assessment, Development and Evaluation (GRADE) was used to assess quality of evidence [9].

Results

Our search generated 3458 titles after de-duplication. We evaluated 42 full-text articles and two articles met the eligibility criteria for qualitative synthesis [10, 11]. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) flow diagram is displayed in Fig. 1.
Fig. 1

PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) flow diagram

PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) flow diagram

Study Characteristics and Risk of Bias

The first of the controlled before-and-after studies which we identified as meeting the inclusion criteria was that of Aspinall et al. [11] who investigated deprescribing glyburide (discontinuing glyburide and either switching to an alternative agent or not adding additional medication to the therapeutic regimen) in American community-dwelling older adults via an educational intervention delivered to pharmacists (see Table 1). The second such study, by Sjöblom et al. [10], investigated the withdrawal of all antihyperglycemics (or a reduction of insulin) versus continuing antihyperglycemics in Swedish nursing home patients. The full study characteristics are outlined in Table 1.
Table 1

Characteristics of eligible studies

StudyMethodsParticipantsInterventionsOutcomesRisk of bias
Aspinall et al. (2011) [11]

–Controlled before-after trial

–Conducted at 21 veterans affairs’ networks in the USA

–Community-dwelling veterans (mean age 77 years, 99.5% male) on glyburide, age ≥65, serum creatinine ≥2 mg/dL

–Intervention group n = 4368 (baseline HbA1C 7.2%)

–Control group n = 1886 (baseline HbA1C 7.2%)

–Intervention group (“targeted” cohort): information regarding risk of hypoglycemia in older persons on glyburide and instructions for switching to alternative agent provided to pharmacists, who could then contact patients’ physicians to deprescribe

–Control group (“non-targeted” cohort) received usual care

–Discontinuation rate for glyburide up to 135 days after index prescription

–HbA1C at 3–9 months

–Hypoglycemia over 9 months

–Serious due to contamination of intervention in control group, and insufficient matching of intervention and control group
Sjöblom et al. (2008) [10]

–Controlled before-after trial

–Participants were patients at 17 different nursing homes in Sweden

–Nursing home patients (mean age 84 years, 42% male) with a HbA1C level of ≤6.0% on any diabetes medication(s)

–Intervention group n = 32 (baseline HbA1C 5.2% (33)

–Control group n = 66 (baseline HbA1C 7.1%)

–Intervention group: all oral antihyperglycemics and insulin ≤20 units per day were discontinued, insulin >20 units per day was reduced by 50%

–Control group received usual care

–HbA1C at 3 and 6 months

–Discontinuation rates

–Mortality at 6 months

–Serious due to selection bias and confounding which was not adjusted for

HbA1C Glycated hemoglobin

Both studies were judged to be at serious risk of bias for all outcomes according to ROBINS-I tool [7] due to important problems with confounding, selection of participants, and deviations from intended interventions (ESM Appendices 2, 3). Characteristics of eligible studies –Controlled before-after trial –Conducted at 21 veterans affairs’ networks in the USA –Community-dwelling veterans (mean age 77 years, 99.5% male) on glyburide, age ≥65, serum creatinine ≥2 mg/dL –Intervention group n = 4368 (baseline HbA1C 7.2%) –Control group n = 1886 (baseline HbA1C 7.2%) –Intervention group (“targeted” cohort): information regarding risk of hypoglycemia in older persons on glyburide and instructions for switching to alternative agent provided to pharmacists, who could then contact patients’ physicians to deprescribe –Control group (“non-targeted” cohort) received usual care –Discontinuation rate for glyburide up to 135 days after index prescription –HbA1C at 3–9 months Hypoglycemia over 9 months –Controlled before-after trial Participants were patients at 17 different nursing homes in Sweden –Nursing home patients (mean age 84 years, 42% male) with a HbA1C level of ≤6.0% on any diabetes medication(s) –Intervention group n = 32 (baseline HbA1C 5.2% (33) –Control group n = 66 (baseline HbA1C 7.1%) –Intervention group: all oral antihyperglycemics and insulin ≤20 units per day were discontinued, insulin >20 units per day was reduced by 50% –Control group received usual care –HbA1C at 3 and 6 months –Discontinuation rates –Mortality at 6 months HbA1C Glycated hemoglobin

Narrative Summary of Eligible Studies

In the study by Aspinall et al. [11], patients in the intervention group were more likely to stop glyburide [relative risk (RR) 1.28; 95% confidence interval (CI) 1.22–1.33] compared to those in the control group. The change in HbA1C levels from baseline to post-intervention was compared in patients who continued glyburide to those who discontinued glyburide and did not start another medication. No significant difference in HbA1C levels was found between the group of patients who discontinued glyburide and those who continued taking this medication (A1C increased by 0.04% in those who discontinued glyburide vs. 0.06% in those who continued; mean difference 0.02% lower; 95% CI: −0.16 to 0.12%). In addition, no significant difference was observed in the rates of hypoglycemia post-intervention between the intervention and control groups (RR 1.08; 95% CI 0.78–1.50). A change in HbA1C level was reported for patients (n = 999) who switched from glyburide to alternative medications, for whom HbA1C levels before and after the intervention were 7.29% [standard deviation (SD) 1.37%] and 7.33% (SD 1.41%), respectively. Of these patients, 87% (874/999) were switched to glipizide. A complete summary of findings is provided in ESM Appendix 4. Sjöblom et al. [10] reported a non-significant increase in HbA1C level for the intervention group following deprescribing (mean difference 1.10%; 95% CI 0.56% lower to 1.64% higher). There was no significant difference in the risk of all-cause mortality for the deprescribing group compared to the control group (RR 0.74; 95% CI 0.29–1.87). A complete summary of the findings is provided in ESM Appendix 5.

Quality of Evidence

Based on the GRADE rating system, the quality of evidence for both studies was very low due to their non-randomized design and concerns surrounding the risk of bias and imprecision. GRADE evidence tables are given in ESM Appendices 4 and 5.

Discussion

Summary

Our systematic review identified two studies which assessed deprescribing antihyperglycemics in elderly patients. One trial involved a group of community-dwelling and predominantly male elderly patients with a baseline HbA1C level of approximately 7.2% [11]. Deprescribing glyburide in these patients does not appear to adversely affect glucose control, suggesting that an educational intervention aimed at pharmacists may reduce glyburide use without compromising glucose control. However, the quality of evidence of this study is very low. Although glyburide is associated with hypoglycemia and poses a higher risk than do other sulfonylureas [12], deprescribing of glyburide does not appear to reduce hypoglycemic events. The second trial involved patients in 17 different nursing homes in Sweden [10]. Of these patients, 75% (24/32) remained in the intervention group after 3 months, with four patients withdrawn due to hyperglycemia. The results of this study demonstrate that frail elderly patients are often treated to well below the HbA1C targets and that deprescribing is possible in the majority of patients without a large impact on HbA1C levels (increase of 0.6% after 6 months in intervention group to an HbA1C level of 5.8%). Hypoglycemic events were not reported. These studies suggest that the deprescribing of antihyperglycemics in older people is a feasible strategy and may not compromise blood glucose control or lead to clinically significant increases in HbA1C levels, albeit the published evidence is of very low quality.

Comparison to Existing Literature

A 2015 retrospective cohort study demonstrated that deintensification of diabetes therapy is attempted in around 20–30% of patients with low HbA1C levels [13]. However, this study did not report clinical outcomes of deintensification. A 2011 retrospective analysis of predominantly male elderly patients with renal impairment (creatinine clearance <50 mL/min) investigated the effect of switching from glyburide to glipizide (uncontrolled before–after study) [14]. Despite an increase in HbA1C level of 0.34% at 1 year, rates of hypoglycemia fell from 31 to 13%. These results suggest that hypoglycemia may be reduced following a switch to sulfonylureas with a lower risk of hypoglycemia and are consistent with meta-analysis data suggesting that glyburide carries an elevated risk of hypoglycemia compared to glipizide [12].

Future Research

Our findings signal a need for adequately powered high-quality antihyperglycemic deprescribing studies in the elderly population with T2DM—particularly in those populations affected by new guidelines recommending relaxed glycemic targets, with attention to the design of features that minimize the risk of bias. Randomized trials could be designed to compare deprescribing protocols to usual care since there is genuine clinical equipoise about the risks and benefits of these strategies, and this would be the least susceptible to selection bias. Non-randomized studies could be designed to compare those patients who have stopped or received tapered medication with those who continued, using established methods to minimize risk of bias due to confounding. Patients and their prescribers should engage in shared decision-making regarding whether to continue or deprescribe their antihyperglycemic medication. Different deprescribing approaches (e.g., tapering vs. abruptly discontinuing antihyperglycemics, the effect of deprescribing specific medications) should be studied. Patient-important outcomes, such as hypoglycemia rates, burden of treatment, quality of life, and function, as well as cost-effectiveness outcomes, should be measured.

Strengths and Limitations

We used rigorous systematic review methodology [6, 15] and GRADE to assess the quality of evidence. However, only two studies of very low quality were identified. We found limited outcome data in the eligible studies and a lack of patient-important outcomes. The Aspinall et al. study [11], while large, only provides evidence related to deprescribing glyburide; and may not apply to patients on other antihyperglycemics. Neither study [10, 11] provided practical information to assist clinicians in deprescribing.

Conclusion

The evidence needed to guide clinicians in helping patients achieve relaxed glycemic targets through deprescribing is currently lacking. While our systematic review suggests deprescribing approaches may be feasible and safe, we found no evidence of benefit or reduced harm. Adequately powered high-quality studies of deprescribing antihyperglycemics with patient-important outcomes are required to support evidence-based decision-making. Below is the link to the electronic supplementary material. Supplementary material 1 (DOCX 31 kb)
  13 in total

1.  Appropriate Prescribing for Patients With Diabetes at High Risk for Hypoglycemia: National Survey of Veterans Affairs Health Care Professionals.

Authors:  Tanner J Caverly; Angela Fagerlin; Brian J Zikmund-Fisher; Susan Kirsh; Jeffrey Todd Kullgren; Katherine Prenovost; Eve A Kerr
Journal:  JAMA Intern Med       Date:  2015-12       Impact factor: 21.873

2.  A systematic review and meta-analysis of hypoglycemia and cardiovascular events: a comparison of glyburide with other secretagogues and with insulin.

Authors:  Azim S Gangji; Tali Cukierman; Hertzel C Gerstein; Charles H Goldsmith; Catherine M Clase
Journal:  Diabetes Care       Date:  2007-02       Impact factor: 19.112

3.  The risks and benefits of implementing glycemic control guidelines in frail older adults with diabetes mellitus.

Authors:  Sei J Lee; W John Boscardin; Irena Stijacic Cenzer; Elbert S Huang; Kathy Rice-Trumble; Catherine Eng
Journal:  J Am Geriatr Soc       Date:  2011-04-11       Impact factor: 5.562

Review 4.  Hypoglycemia in older people - a less well recognized risk factor for frailty.

Authors:  Ahmed H Abdelhafiz; Leocadio Rodríguez-Mañas; John E Morley; Alan J Sinclair
Journal:  Aging Dis       Date:  2015-03-10       Impact factor: 6.745

5.  Glycemic control and hypoglycemia in Veterans Health Administration patients converted from glyburide to glipizide.

Authors:  Rachel A Skoff; Nancee V Waterbury; Robert F Shaw; Jason A Egge; Matthew Cantrell
Journal:  J Manag Care Pharm       Date:  2011-11

6.  Canadian Diabetes Association 2013 clinical practice guidelines for the prevention and management of diabetes in Canada. Introduction.

Authors:  Alice Y Y Cheng
Journal:  Can J Diabetes       Date:  2013-03-26       Impact factor: 4.190

Review 7.  Intervention to decrease glyburide use in elderly patients with renal insufficiency.

Authors:  Sherrie L Aspinall; Xinhua Zhao; Chester B Good; Roslyn A Stone; Joy Boresi; Sarah Cox; Chad Bartholomew; David Jansen; Sarah Guterman; Mauricio Patino; Giselle Rivera-Miranda; Mark Burlingame; Justin Frazer; Janelle Sellers; Valerie Stanard Steele; Lauri Witt; Francesca E Cunningham
Journal:  Am J Geriatr Pharmacother       Date:  2011-02

8.  Can diabetes medication be reduced in elderly patients? An observational study of diabetes drug withdrawal in nursing home patients with tight glycaemic control.

Authors:  Peter Sjöblom; Ulla-Britt Löfgren; Christina Lannering; Niklas Anderberg; Ulf Rosenqvist; Sigvard Mölstad; Carl J Ostgren
Journal:  Diabetes Res Clin Pract       Date:  2008-09-26       Impact factor: 5.602

9.  The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration.

Authors:  Alessandro Liberati; Douglas G Altman; Jennifer Tetzlaff; Cynthia Mulrow; Peter C Gøtzsche; John P A Ioannidis; Mike Clarke; P J Devereaux; Jos Kleijnen; David Moher
Journal:  PLoS Med       Date:  2009-07-21       Impact factor: 11.069

10.  ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions.

Authors:  Jonathan Ac Sterne; Miguel A Hernán; Barnaby C Reeves; Jelena Savović; Nancy D Berkman; Meera Viswanathan; David Henry; Douglas G Altman; Mohammed T Ansari; Isabelle Boutron; James R Carpenter; An-Wen Chan; Rachel Churchill; Jonathan J Deeks; Asbjørn Hróbjartsson; Jamie Kirkham; Peter Jüni; Yoon K Loke; Theresa D Pigott; Craig R Ramsay; Deborah Regidor; Hannah R Rothstein; Lakhbir Sandhu; Pasqualina L Santaguida; Holger J Schünemann; Beverly Shea; Ian Shrier; Peter Tugwell; Lucy Turner; Jeffrey C Valentine; Hugh Waddington; Elizabeth Waters; George A Wells; Penny F Whiting; Julian Pt Higgins
Journal:  BMJ       Date:  2016-10-12
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  8 in total

1.  Deprescribing antihyperglycemic agents in older persons: Evidence-based clinical practice guideline.

Authors:  Barbara Farrell; Cody Black; Wade Thompson; Lisa McCarthy; Carlos Rojas-Fernandez; Heather Lochnan; Salima Shamji; Ross Upshur; Manon Bouchard; Vivian Welch
Journal:  Can Fam Physician       Date:  2017-11       Impact factor: 3.275

2. 

Authors:  Barbara Farrell; Cody Black; Wade Thompson; Lisa McCarthy; Carlos Rojas-Fernandez; Heather Lochnan; Salima Shamji; Ross Upshur; Manon Bouchard; Vivian Welch
Journal:  Can Fam Physician       Date:  2017-11       Impact factor: 3.275

3.  Dietary Interventions to Treat Type 2 Diabetes in Adults with a Goal of Remission: An Expert Consensus Statement from the American College of Lifestyle Medicine.

Authors:  Richard M Rosenfeld; John H Kelly; Monica Agarwal; Karen Aspry; Ted Barnett; Brenda C Davis; Denise Fields; Trudy Gaillard; Mahima Gulati; George E Guthrie; Denee J Moore; Gunadhar Panigrahi; Amy Rothberg; Deepa V Sannidhi; Lorraine Weatherspoon; Kaitlyn Pauly; Micaela C Karlsen
Journal:  Am J Lifestyle Med       Date:  2022-05-18

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

Authors:  Kathryn E Callahan; Kristin M Lenoir; Chinenye O Usoh; Jeff D Williamson; LaShanda Y Brown; Adam W Moses; Molly Hinely; Zeev Neuwirth; Nicholas M Pajewski
Journal:  Diabetes Spectr       Date:  2022-03-21

5.  Reporting and methodological quality of systematic reviews and meta-analysis with protocols in Diabetes Mellitus Type II: A systematic review.

Authors:  Daniel Christopher Rainkie; Zeinab Salman Abedini; Nada Nabil Abdelkader
Journal:  PLoS One       Date:  2020-12-16       Impact factor: 3.240

6.  Development of a deprescribing manual for frail older people for use in the COFRAIL study and in primary care.

Authors:  Nina-Kristin Mann; Sven Schmiedl; Achim Mortsiefer; Veronika Bencheva; Susanne Löscher; Manuela Ritzke; Eva Drewelow; Gregor Feldmeier; Sara Santos; Stefan Wilm; Petra A Thürmann
Journal:  Ther Adv Drug Saf       Date:  2022-09-06

Review 7.  Deprescribing in older people.

Authors:  Michelle Liacos; Amy Theresa Page; Christopher Etherton-Beer
Journal:  Aust Prescr       Date:  2020-08-03

Review 8.  Rates, determinants and success of implementing deprescribing in people with type 2 diabetes: A scoping review.

Authors:  M P Oktora; K P Kerr; E Hak; P Denig
Journal:  Diabet Med       Date:  2020-10-02       Impact factor: 4.359

  8 in total

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