Differences in National Diabetes Treatment Patterns and Trends between Older and Younger Adults

Impact of diabetes on the risk of subsequent fractures in 92,600 patients with an incident hip fracture: A Danish nationwide cohort study 2004-2018

PURPOSE

We investigated the incidence rates of a subsequent hip fracture (HF) and other subsequent fractures than HF after first incident HF, comparing patients with and without diabetes.

METHODS

Using Danish medical databases, we identified 92,600 incident HF patients in the period 2004-2018. Diabetes exposure was examined overall, by type of diabetes (T2D and T1D), and by presence of diabetes complications. We estimated cumulative incidence of subsequent HFs and fractures other than HF within two years of the incident HF. Using Cox regression, adjusted hazard ratios (aHRs) with 95 % confidence interval (CI) were calculated.

RESULTS

Among incident HF patients, 11,469 (12 %) had diabetes, of whom 10,253 (89 %) had T2D and 1216 (11 %) had T1D. The 2-year incidence rates for a new subsequent HF were 4.8 % (95 % CI: 4.6-4.9) for patients without diabetes (reference group), 4.1 % (95 % CI: 3.8-4.6) for T2D, and 4.3 % (95 % CI: 3.3-5.6) for T1D. Corresponding aHRs were 1.01 (95 % CI 0.90-1.14) for T2D and 1.17 (95 % CI 0.87-1.58) for T1D. There was effect modification by sex, as women with T1D had an aHR of 1.52 (95 % CI: 1.09-2.11) for subsequent HF, and by specific diabetes complications (for example, patients with T2D and prior hypoglycemia had an aHR of 1.75 (95 % CI: 1.24-2.42) for subsequent HF, while patients with T1D and neuropathy had an aHR of 1.73 (95 %: 1.09-2.75), when compared with patients without diabetes). For fractures other than HF, the 2-year incidence rates were 7.3 % (95 % CI: 7.2-7.5) for patients without diabetes, 6.6 % (95 % CI: 6.1-7.1) for T2D, and 8.5 % (95 % CI: 7.0-10.1) for T1D, with corresponding aHRs of 1.01 (95 % CI 0.92-1.11) for T2D and 1.43 (95 % CI: 1.16-1.78) for T1D. T2D was only a risk factor for other subsequent fractures among HF patients of high age (age 86-89 years: aHR 1.22 (95 % CI 0.99-1.55), age 90+ years: aHR 1.37 (95 % CI 1.08-1.74)), whereas T1D was robustly associated with increased risk of fractures other than HF in all subgroups.

CONCLUSION

Among HF patients, we found no strong overall association of T2D or T1D with increased risk of subsequent HF, but diabetes patients with prior hypoglycemic events or neuropathy were at increased risk. In contrast, patients with T1D had a clearly increased risk of subsequent fractures other than HF.

Crossing the deintensification chasm for older adults with diabetes

This editorial comments on the article by Haider et al.

A Qualitative Study of Perspectives of Older Adults on Deintensifying Diabetes Medications

BACKGROUND

While many older adults with type 2 diabetes have tight glycemic control beyond guideline-recommended targets, deintensifying (stopping or dose-reducing) diabetes medications rarely occurs.

OBJECTIVE

To explore the perspectives of older adults with type 2 diabetes around deintensifying diabetes medications.

DESIGN

This qualitative study used individual semi-structured interviews, which included three clinical scenarios where deintensification may be indicated.

PARTICIPANTS

Twenty-four adults aged ≥65 years with medication-treated type 2 diabetes and hemoglobin A1c <7.5% were included (to thematic saturation) using a maximal variation sampling strategy for diabetes treatment and physician specialty.

APPROACH

Interviews were independently coded by two investigators and analyzed using a grounded theory approach. We identified major themes and subthemes and coded responses to the clinical scenarios as positive (in favor of deintensification), negative, or ambiguous.

KEY RESULTS

Participants' mean age was 74 years, half were women, and 58% used a sulfonylurea or insulin. The first of four major themes was fear of losing control of diabetes, which participants weighed against the benefits of taking less medication (Theme 2). Few participants viewed glycemic control below target as a reason for deintensification and a majority would restart the medication if their home glucose increased. Some participants were anchored to their current diabetes treatment (Theme 3) driven by unrealistic views of medication benefits. A trusting patient-provider relationship (Theme 4) was a positive influence. In clinical scenarios, 8%, 4%, and 75% of participants viewed deintensification positively in the setting of poor health, limited life expectancy, and high hypoglycemia risk, respectively.

CONCLUSIONS

Optimizing deintensification requires patient education that describes both individualized glycemic targets and how they will change over the lifespan. Deintensification is an opportunity for shared decision-making, but providers must understand patients' beliefs about their medications and address misconceptions. Hypoglycemia prevention may be a helpful framing for discussing deintensification.

Update on the management of diabetes in long-term care facilities

The number of patients with diabetes is increasing among older adults in the USA, and it is expected to reach 26.7 million by 2050. In parallel, the percentage of older patients with diabetes in long-term care facilities (LTCFs) will also rise. Currently, the majority of LTCF residents are older adults and one-third of them have diabetes. Management of diabetes in LTCF is challenging due to multiple comorbidities and altered nutrition. Few randomized clinical trials have been conducted to determine optimal treatment for diabetes management in older adults in LTCF. The geriatric populations are at risk of hypoglycemia since the majority are treated with insulin and have different levels of functionality and nutritional needs. Effective approaches to avoid hypoglycemia should be implemented in these settings to improve outcome and reduce the economic burden. Newer medication classes might carry less risk of developing hypoglycemia along with the appropriate use of technology, such as the use of continuous glucose monitoring. Practical clinical guidelines for diabetes management including recommendations for prevention and treatment of hypoglycemia are needed to appropriately implement resources in the transition of care plans in this vulnerable population.

Time-series analysis of recent antihyperglycemic medication prescribing trends for a diverse sample of Medicare enrollees with type 2 diabetes mellitus in an integrated health system

DISCLAIMER

In an effort to expedite the publication of articles related to the COVID-19 pandemic, AJHP is posting these manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time.

PURPOSE

Despite high type 2 diabetes mellitus (T2DM) prevalence in Medicare enrollees, newer therapeutic options, and revised treatment guidelines, little is known about US antihyperglycemic prescribing trends after 2015. This research describes recent monthly antihyperglycemic prescribing trends in a large, diverse population of Medicare enrollees from the US Mid-Atlantic region.

METHODS

Encounter data (July 2018-July 2020) for Medicare enrollees 65 years of age or older with T2DM were extracted from electronic health records of a large integrated health system. Descriptive time-series regression models were estimated to describe monthly prescribing rates (ie, prescription orders per 100 eligible plan members with T2DM) overall and by medication subgroups for all-eligible and continuously-eligible samples. Trends in monthly prescription orders per 100 eligible plan members with T2DM were reported.

RESULTS

The monthly all-eligible member sample (n > 22,000) exhibited an overall positive baseline monthly prescribing rate of 23.88 T2DM medication orders per 100 members with T2DM and a significant positive monthly prescribing rate trend (ie, change) of 0.12 T2DM medication orders per 100 members with T2DM (P < 0.05). Subgroup T2DM medication order rates per 100 members with T2DM at baseline were 16.28 for first generation medications, 3.87 for human insulins, 3.04 for insulin analogs, 0.58 for second-generation medications, and 0.11 for combination medications. Human insulins, insulin analogs, and second-generation medications had positive monthly trends (P < 0.05). Among second-generation Medications, sodium-glucose cotransporter 2 (SGLT-2) inhibitors and glucagon-like peptide 1 (GLP-1) agonists had positive monthly trends (P < 0.05). Continuously eligible members with T2DM (n = 19,185) had no significant overall monthly prescribing trend; however, human insulins, insulin analogs, and second-generation medications and the SGLT-2 inhibitor class had positive monthly prescribing trends (P < 0.05).

CONCLUSION

In a diverse Medicare sample, this study observed increasing monthly trends for second-generation medications, human insulins, and insulin analogs consistent with emerging evidence. Among second-generation medications, SGLT-2 inhibitors became the most commonly prescribed over time.

High Concurrent Use of Sulfonylureas and Antimicrobials With Drug Interactions Causing Hypoglycemia

OBJECTIVES

Sulfonylureas, the second most common oral diabetes treatment, have interactions with antimicrobials that substantially increase the risk of hypoglycemia. The objectives of this study are to quantify the concurrent use of sulfonylureas and interacting antimicrobial in U.S. ambulatory care and to examine whether interacting antimicrobials are used for an appropriate indication.

METHODS

We analyzed the 2006-2016 National Ambulatory Medical Care Survey and National Hospital Ambulatory Medical Care Survey, annual probability samples of visits to U.S. office-based physicians. We determined nationally representative estimates of visits for adults with concurrent use of sulfonylureas and 7 antimicrobials with established interactions. We examined whether visit diagnoses included appropriate indications for antibiotics according to national guidelines.

RESULTS

There were 2.5 million visits per year (95% confidence interval [CI] 2.2-2.9) in which sulfonylureas were used with systemic antimicrobials, of which 1 million (95% CI, 0.8-1.2) or 38.0% (95% CI, 32.3%-44.0%) were interacting antimicrobials. Sulfonylurea users had similar odds of interacting antimicrobial use as patients using diabetes medications without antimicrobial interactions (adjusted odds ratio, 1.07; 95% CI, 0.82-1.40). The most common interacting antimicrobials used with sulfonylureas were fluoroquinolones, accounting for 59.9% (95% CI, 50.7%-68.2%) of antimicrobials, and sulfamethoxazole-trimethoprim, accounting for 21.1% (95% CI, 14.8%-29.2%). There was no appropriate antibiotic indication in 69.7% (95% CI, 55.2%-81.1) of visits with interacting antibiotic use.

CONCLUSIONS

Sulfonylureas and antimicrobials with potentially hazardous interactions are frequently used together. To reduce resultant hypoglycemic events, there is a need for interventions to increase physician awareness and promote antibiotic stewardship.

The metabolic syndrome, thiazolidinediones, and implications for intersection of chronic and inflammatory disease

BACKGROUND

Chronic disease appears connected to obesity. However, evidence suggests that chronic metabolic diseases are more specifically related to adipose dysfunction rather than to body weight itself.

SCOPE OF REVIEW

Further study of the first generation "insulin sensitizer" pioglitazone and molecules based on its structure suggests that is possible to decouple body weight from the metabolic dysfunction that drives adverse outcomes. The growing understanding of the mechanism of action of these agents together with advances in the pathophysiology of chronic metabolic disease offers a new approach to treat chronic conditions, such as type 2 diabetes, fatty liver disease, and their common organ and vascular sequelae.

MAJOR CONCLUSIONS

We hypothesize that treating adipocyte dysfunction with new insulin sensitizers might significantly impact the interface of infectious disease and chronic metabolic disease.

Hospital utilization for hypoglycemia among patients with type 2 diabetes using pooled data from six health systems

INTRODUCTION

Hypoglycemia is the most common serious adverse effect of diabetes treatment and a major cause of medication-related hospitalization. This study aimed to identify trends and predictors of hospital utilization for hypoglycemia among patients with type 2 diabetes using electronic health record data pooled from six academic health systems.

RESEARCH DESIGN AND METHODS

This retrospective open cohort study included 549 041 adults with type 2 diabetes receiving regular care from the included health systems between 2009 and 2019. The primary outcome was the yearly event rate for hypoglycemia hospital utilization: emergency department visits, observation visits, or inpatient admissions for hypoglycemia identified using a validated International Classification of Diseases Ninth Revision (ICD-9) algorithm from 2009 to 2014. After the transition to ICD-10 in 2015, we used two ICD-10 code sets (limited and expanded) for hypoglycemia hospital utilization from prior studies. We identified independent predictors of hypoglycemia hospital utilization using multivariable logistic regression analysis with data from 2014.

RESULTS

Yearly rates of hypoglycemia hospital utilization decreased from 2.7 to 1.6 events per 1000 patients from 2009 to 2014 (p-trend=0.023). From 2016 to 2019, yearly event rates were stable ranging from 5.6 to 6.6, or 6.3 to 7.3, using the limited and expanded ICD-10 code sets, respectively. In 2014, the strongest independent risk factors for hypoglycemia hospital utilization were chronic kidney disease (OR 2.86, 95% CI 2.33 to 3.57), ages 18-39 years (OR 2.43 vs age 40-64 years, 95% CI 1.78 to 3.31), and insulin use (OR 2.13 vs no diabetes medications, 95% CI 1.67 to 2.73).

CONCLUSIONS

Rates of hypoglycemia hospital utilization decreased from 2009 to 2014 and varied considerably by clinical risk factors such that younger adults, insulin users, and those with chronic kidney disease were at especially high risk. There is a need to validate hypoglycemia ascertainment using ICD-10 codes, which detect a substantially higher number of events compared with ICD-9.

Differential indication for SGLT-2 inhibitors versus GLP-1 receptor agonists in patients with established atherosclerotic heart disease or at risk for congestive heart failure

SGLT-2 inhibitors and most GLP-1 receptor agonists demonstrated cardiovascular superiority and reduction of cardiovascular and overall mortality. These results stand as a turning point in the management of diabetes, shifting the focus from controlling glucose levels to mastering the extra-glycemic effects of these new drugs. This narrative review will discuss recent CVOT with focus on SGLT-2 inhibitors and GLP-1 receptor agonists to distinguish relevant patients' characteristics as potential predictors for therapeutic efficacy. It will also examine their efficacy and safety, the differences in their cardiovascular and renal benefits, aiming to convey clinical suggestions for everyday practice.