Changing Patterns of Glucose-Lowering Medication Use in VA Nursing Home Residents With Diabetes, 2005 to 2011

Comparative safety of sulfonylureas among U.S. nursing home residents

BACKGROUND

The comparative safety of sulfonylureas (SUs) in nursing home (NH) residents remains understudied despite widespread use. We compared the effects of three SU medications and initial SU doses on adverse glycemic and cardiovascular events among NH residents.

METHODS

This national retrospective cohort study linked Medicare claims with Minimum Data Set 2.0 assessments for long-stay NH residents aged ≥65 years between January 2008 and September 2010. Exposures were the SU medication initiated (glimepiride, glipizide, or glyburide) and doses (standard or reduced). One-year outcomes were hospitalizations or emergency department visits for severe hypoglycemia, heart failure (HF), stroke, and acute myocardial infarction (AMI). After the inverse probability of treatment and inverse probability of censoring by death weighting, we estimated hazard ratios (HR) using Cox regression models with robust 95% confidence intervals (CI).

RESULTS

The cohort (N = 6821) included 3698 new glipizide, 1754 glimepiride, and 1369 glyburide users. Overall, the mean (standard deviation) age was 81.4 (8.2) years, 4816 (70.6%) were female, and 5164 (75.7%) were White non-Hispanic residents. The rates of severe hypoglycemia were 30.3 (95% CI 22.3-40.1), 49.0 (95% CI 34.5-67.5), and 35.9 (95% CI 22.2-54.9) events per 1000 person-years among new glipizide, glimepiride, and glyburide users, respectively (glimepiride versus glipizide HR 1.6, 95% CI 1.0-2.4, p = 0.04; glyburide versus glipizide HR 1.2, 95% CI 0.7-1.9, p = 0.59). The rates of severe hypoglycemia were 27.1 (95% CI 18.6-38.0) and 42.8 (95% CI 33.6-53.8) events per 1000 person-years among new users of reduced and standard SU doses, respectively (HR 2.2, 95% CI 1.4-3.5, p < 0.01). Rates of HF, stroke, and AMI were similar between medications and doses.

CONCLUSIONS

Among long-stay NH residents, new use of glimepiride and standard SU doses resulted in higher rates of severe hypoglycemic events. Cardiovascular outcomes may not be affected by the choice of SU medication or dose.

Benefits and harms of oral anticoagulants for atrial fibrillation in nursing home residents with advanced dementia

BACKGROUND

Approximately 20% of older persons with dementia have atrial fibrillation (AF). Nearly all have stroke risks that exceed the guideline-recommended threshold for anticoagulation. Although individuals with dementia develop profound impairments and die from the disease, little evidence exists to guide anticoagulant discontinuation, and almost one-third of nursing home residents with advanced dementia and AF remain anticoagulated in the last 6 months of life. We aimed to quantify the benefits and harms of anticoagulation in this population.

METHODS

Using Minimum Data Set and Medicare claims, we conducted a retrospective cohort study with 14,877 long-stay nursing home residents aged ≥66 between 2013 and 2018 who had advanced dementia and AF. We excluded individuals with venous thromboembolism and valvular heart disease. We measured anticoagulant exposure quarterly, using Medicare Part D claims. The primary outcome was all-cause mortality; secondary outcomes were ischemic stroke and serious bleeding. We performed survival analyses with multivariable adjustment and inverse probability of treatment (IPT) weighting.

RESULTS

In the study sample, 72.0% were female, 82.7% were aged ≥80 years, and 13.5% were nonwhite. Mean CHA2 DS2 VASC score was 6.19 ± 1.58. In multivariable survival analysis, anticoagulation was associated with decreased risk of death (HR 0.71, 95% CI 0.67-0.75) and increased bleeding risk (HR 1.15, 95% CI 1.02-1.29); the association with stroke risk was not significant (HR 1.08, 95% CI 0.80-1.46). Results were similar in models with IPT weighting. While >50% of patients in both groups died within a year, median weighted survival was 76 days longer for anticoagulated individuals.

CONCLUSION

Persons with advanced dementia and AF derive clinically modest life prolongation from anticoagulation, at the cost of elevated risk of bleeding. The relevance of this benefit is unclear in a group with high dementia-related mortality and for whom the primary goal is often comfort.

Fingerstick Glucose Monitoring in Veterans Affairs Nursing Home Residents with Diabetes Mellitus

BACKGROUND/OBJECTIVE

Guidelines recommend less intensive glycemic treatment and less frequent glucose monitoring for nursing home (NH) residents. However, little is known about the frequency of fingerstick (FS) glucose monitoring in this population. Our objective was to examine the frequency of FS glucose monitoring in Veterans Affairs (VA) NH residents with diabetes mellitus, type II (T2DM).

DESIGN AND SETTING

National retrospective cohort study in 140 VA NHs.

PARTICIPANTS

NH residents with T2DM and older than 65 years admitted to VA NHs between 2013 and 2015 following discharge from a VA hospital.

MEASUREMENTS

NH residents were classified into five groups based on their highest hypoglycemia risk glucose-lowering medication (GLM) each day: no GLMs; metformin only; sulfonylureas; long-acting insulin; and any short-acting insulin. Our outcome was a daily count of FS measurements.

RESULTS

Among 17,474 VA NH residents, mean age was 76 (standard deviation (SD) = 8) years and mean hemoglobin A1c was 7.6% (SD = 1.5%). On day 1 after NH admission, 49% of NH residents were on short-acting insulin, decreasing slightly to 43% at day 90. Overall, NH residents had an average of 1.9 (95% confidence interval (CI) = 1.8-1.9) FS measurements on NH day 1, decreasing to 1.4 (95% CI = 1.3-1.4) by day 90. NH residents on short-acting insulin had the most frequent FS measurements, with 3.0 measurements (95% CI = 2.9-3.0) on day 1, decreasing to 2.6 measurements (95% CI = 2.5-2.7) by day 90. Less frequent FS measurements were seen for NH residents receiving long-acting insulin (2.1 (95% CI = 2.0-2.2) on day 1) and sulfonylureas (1.7 (95% CI = 1.5-1.8) on day 1). Even NH residents on metformin monotherapy had 1.1 (95% CI = 1.1-1.2) measurements on day 1, decreasing to 0.5 (95% CI = 0.4-0.6) measurements on day 90.

CONCLUSION

Although guidelines recommend less frequent glucose monitoring for NH residents, we found that many VA NH residents receive frequent FS monitoring. Given the uncertain benefits and potential for substantial patient burdens and harms, our results suggest decreasing FS monitoring may be warranted for many low hypoglycemia risk NH residents.

Deintensification of Diabetes Medications among Veterans at the End of Life in VA Nursing Homes

OBJECTIVES

Many older adults with limited life expectancy and/or advanced dementia (LLE/AD) are potentially overtreated for diabetes and may benefit from deintensification. Our aim was to examine the incidence and predictors of diabetes medication deintensification in older Veterans with LLE/AD who were potentially overtreated at admission to Veterans Affairs (VA) nursing homes (community living centers [CLCs]).

DESIGN

Retrospective cohort study using linked VA and Medicare clinical/administrative data and Minimum Data Set assessments.

SETTING

VA CLCs.

PARTICIPANTS

A total of 6960 Veterans with diabetes and LLE/AD admitted to VA CLCs in fiscal years 2009 to 2015 with hemoglobin (Hb)A1c measured within 90 days of admission.

MEASUREMENTS

We evaluated treatment deintensification (discontinuation or dose reduction for a consecutive 7-day period) among residents who were potentially overtreated (HbA1c ≤7.5% and receiving hypoglycemic medications). Competing risk models assessed 90-day cumulative incidence of deintensification.

RESULTS

More than 40% (n = 3056) of Veteran CLC residents with diabetes were potentially overtreated. The cumulative incidence of deintensification at 90 days was 45.5%. Higher baseline HbA1c values were associated with a lower likelihood of deintensification (e.g., HbA1c 7.0-7.5% vs <6.0%; adjusted risk ratio [aRR] = .57; 95% confidence interval [CI] = .50-.66). Compared with non-sulfonylurea oral agents (e.g., metformin), other treatment regimens were more likely to be deintensified (aRR = 1.31-1.88), except for basal insulin (aRR = .59; 95% CI = .52-.66). The only resident factor associated with increased likelihood of deintensification was documented end-of-life status (aRR = 1.12; 95% CI = 1.01-1.25). Admission from home/assisted living (aRR = .85; 95% CI = .75-.96), obesity (aRR = .88; 95% CI = .78-.99), and peripheral vascular disease (aRR = .90; 95% CI = .81-.99) were associated with decreased likelihood of deintensification.

CONCLUSION

Deintensification of treatment regimens occurred in less than one-half of potentially overtreated Veterans and was more strongly associated with low HbA1c values and use of medications with high risk for hypoglycemia, rather than other resident characteristics. J Am Geriatr Soc 68:736-745, 2020.

Predicting short- and long-term glycated haemoglobin response after insulin initiation in patients with type 2 diabetes mellitus using machine-learning algorithms

AIM

To assess the potential of supervised machine-learning techniques to identify clinical variables for predicting short-term and long-term glycated haemoglobin (HbA1c) response after insulin treatment initiation in patients with type 2 diabetes mellitus (T2DM).

MATERIALS AND METHODS

We included patients with T2DM from the Groningen Initiative to Analyse Type 2 diabetes Treatment (GIANTT) database who started insulin treatment between 2007 and 2013 and had a minimum follow-up of 2 years. Short- and long-term responses at 6 (±2) and 24 (±2) months after insulin initiation, respectively, were assessed. Patients were defined as good responders if they had a decrease in HbA1c ≥ 5 mmol/mol or reached the recommended level of HbA1c ≤ 53 mmol/mol. Twenty-four baseline clinical variables were used for the analysis and an elastic net regularization technique was used for variable selection. The performance of three traditional machine-learning algorithms was compared for the prediction of short- and long-term responses and the area under the receiver-operating characteristic curve (AUC) was used to assess the performance of the prediction models.

RESULTS

The elastic net regularization-based generalized linear model, which included baseline HbA1c and estimated glomerular filtration rate, correctly classified short- and long-term HbA1c response after treatment initiation, with AUCs of 0.80 (95% CI 0.78-0.83) and 0.81 (95% CI 0.79-0.84), respectively, and outperformed the other machine-learning algorithms. Using baseline HbA1c alone, an AUC = 0.71 (95% CI 0.65-0.73) and 0.72 (95% CI 0.66-0.75) was obtained for predicting short-term and long-term response, respectively.

CONCLUSIONS

Machine-learning algorithm performed well in the prediction of an individual's short-term and long-term HbA1c response using baseline clinical variables.

National Trends in Diabetes Medication Use in the United States: 2008 to 2015

Background

Data on trends of diabetes medications use are sparse, outdated, and limited to prescription data. We determined trends in diabetes medication use among US individuals with diabetes during 2008-2015.

Methods

We used 2008-2015 Medical Expenditure Panel Survey to examine diabetes medication utilization among individuals aged ≥18 years with diabetes. Prescription medications were classified based on therapeutic class and subclass using Multum Lexicon database.

Results

From 2008 to 2015, use of any diabetes medication (81.4% vs. 87%), metformin (47.8% vs. 59.0%), and insulin (23.0% vs. 31.0%) increased, whereas, use of sulfonylurea (36.0% vs. 29.0%) and thiazolidinedione (21% vs. 9.0%) declined. A linear increase was observed in the uptake of dipeptidyl peptidase-4 (DPP-4) inhibitors from 6.2% in 2008 to 12.4% in 2015; glucagon-like peptide-1 (GLP-1) receptor agonists from 2.5% in 2008 to 4.4% in 2015 and sodium glucose transporter-2 (SGLT2) inhibitors from 0.8% in 2014 (the first SGLT2 inhibitors approval year) to 4.4% in 2015. Monotherapy use increased from 50.6% to 56.4% during 2008-2015, while triple therapy use declined.

Conclusions

Metformin, insulin and sulfonylureas remained the top-three prescribed classes of diabetes medications. Increased use of DPP-4 inhibitors, GLP-1 receptor agonists and SGLT2 inhibitors was offset by decline in TZDs use.

HbA1c response after insulin initiation in patients with type 2 diabetes mellitus in real life practice: Identifying distinct subgroups

AIMS

To identify subgroups of patients with type 2 diabetes mellitus (T2DM) following distinct trajectories of HbA1c after insulin initiation and explore underlying differences in clinical characteristics.

MATERIALS AND METHODS

A cohort study was conducted in patients with T2DM initiating insulin in 2007-2013 with a follow-up of 2 to 4 years. Data were collected from the Groningen Initiative to Analyze Type 2 Diabetes Treatment (GIANTT) database. The primary outcome was subgroups with different trajectories of HbA1c patterns after insulin initiation, as identified by latent class growth modeling. Differences between subgroups were tested using one-way ANOVA, Kruskal-Wallis or chi-square tests, where appropriate.

RESULTS

From 1459 patients, three subgroups with distinct HbA1c patterns were identified. Group 1 (8%) initially showed a moderate decrease followed by an increase in HbA1c 2 years later, despite receiving more comedication. Group 2 (84%) showed a stable decrease. Group 3 (8%) had a high initial level of HbA1c and a rapid decline within the first year, followed by a slow increase thereafter. Group 1 patients were on average 6-7 years younger than patients in groups 2 and 3 and were more likely to receive sulfonylureas than Group 3 patients. Group 3 patients had a shorter diabetes duration and were less well-controlled for HbA1c, systolic blood pressure and LDL-cholesterol at insulin initiation.

CONCLUSIONS

Most patients showed a stable HbA1c response, but one out of six patients showed either a poor response, or a rapid initial response only after insulin initiation. Response patterns were associated with age, diabetes duration and risk-factor controls at the time of insulin initiation.

National Trends in Treatment Initiation for Nursing Home Residents With Diabetes Mellitus, 2008 to 2010

OBJECTIVE

Diabetes mellitus is common in the nursing home (NH) population, yet little is known about prescribing of glucose-lowering medications in the NH setting. We describe trends in initiation of glucose-lowering medications in a national cohort of NH residents.

DESIGN AND SETTING

Retrospective cohort study using Part A and D claims for a random 20% of Medicare enrollees linked to NH Minimum Data Set (MDS) and Online Survey, Certification, and Reporting (OSCAR) databases in 7158 US NHs.

PARTICIPANTS

A total of 11,531 long-stay (continuous residence of ≥90 days) NH residents 65 years or older with diabetes who received a glucose-lowering medication between 2008 and 2010 after 4 months of nonuse.

MEASUREMENTS

Medicare Part D drug dispensing of glucose-lowering treatments; resident and facility characteristics preceding medication initiation.

RESULTS

We observed decreasing sulfonylurea initiation from 25.4% of initiations in 2008 to 11.7% in 2010, an average decrease of 1% per quarter (95% CLs -1.5 to -0.5). Thiazolidinedione initiation decreased from 4.7% to 1.9%, an average decrease of 0.3% per quarter (95% CLs -0.4 to -0.2), and meglitinide initiation from 1.5% to 0.3%. No appreciable linear trends were observed for metformin (range 12.0%-18.8%) and dipeptidyl peptidase-4 (DPP-4) inhibitors (range 0.9%-2.7%). In contrast, insulin use increased from 51.7% to 68.3% during the same time period, driven by a marked increase in initiation of rapid-acting insulin (11.0% to 29.4%; average increase of 1.4% per quarter, 95% CLs 0.9-1.9) and a modest increase in short-acting insulin (22.6% to 30.3%; an average increase of 0.6% per quarter, 95% CLs -0.1 to 1.3).

CONCLUSIONS

Between 2008 and 2010, there were substantial decreases in the use of oral glucose-lowering agents and corresponding increases in the use of insulin among long-term residents of US NHs.