Medication Prescribing for Type 2 Diabetes in the US Long-Term Care Setting: Observational Study

Glucose-lowering medicines use before and after entry into long-term care facilities

AIM

To examine changes in the use of glucose-lowering medicine (GLM) 12 months before and 12 months after long-term care facility (LTCF) entry among people with diabetes.

MATERIALS AND METHODS

A national retrospective cohort study was conducted using linked health and aged care data from the Registry of Senior Australians National Historical Cohort. Residents of LTCFs with diabetes aged 65 years or older from 2015 to 2019 were included. Prevalence of GLM use and the number of defined daily doses (DDDs) dispensed per 1000 resident-days were estimated quarterly (91-day) using Poisson regression models, or negative binomial regression when overdispersion was present.

RESULTS

Among the 50 993 residents studied (median age 84 years), the prevalence of GLM use was 58.4% (95% confidence interval [CI] 58.0%-58.8%) in the 9-12 months pre-LTCF entry and 56.3% (95% CI 55.9%-56.8%) in the 9-12 months post-entry. The number of DDDs/1000 resident-days increased from 1015.2 (95% CI 1002.3-1028.1) to 1253.8 (95% CI 1168.4-1339.3) during the same period. GLM use in the 3 months pre-entry was 56.8% (95% CI 56.4%-57.2%) compared with 61.7% (95% CI 61.3%-62.1%) in the 3 months post-entry, with the increased use driven mainly by insulin. No marked changes in the number of GLMs dispensed or GLM type were observed at 9-12 months post-entry compared with 3 months pre-entry. Among 22 792 individuals dispensed a GLM in the 3 months prior to LTCF entry, 50.2% continued the same GLM at 9-12 months post-entry.

CONCLUSIONS

GLM use peaked in the first 3 months following LTCF entry, driven mainly by insulin, hence, residents may benefit from close monitoring of diabetes treatment during this period.

Noninsulin antidiabetic prescription patterns in Colombia: a cross-sectional study

Background

The prevalence of type 2 diabetes mellitus (T2DM) continues to increase; the clinical practice guidelines continue to modify the recommendations for its treatment.

Objective

The aim was to determine the prescription patterns of noninsulin antidiabetics in a group of patients from Colombia.

Design

Cross-sectional study.

Methods

The use of noninsulin antidiabetic drugs based on a population database of patients under treatment in 2022. Comorbidities were identified, including total numbers, proportions, and defined daily doses of each antidiabetic agent per 1000 inhabitants/day (DHD).

Results

A total of 155,381 patients with T2DM were identified, with a mean age of 67.1 ± 12.0 years. The most widely used antidiabetics according to DHD were metformin (9.46 DHD), empagliflozin (5.3), sitagliptin (2.8), linagliptin (2.4), and dapagliflozin (2.3), mainly in combination therapy (55.5%), most often two (31.2% of patients) or three antidiabetics (22.4% of patients). The most frequent cardiovascular comorbidities were hypertension (67.6%), chronic kidney disease (6.3%), and coronary ischemic heart disease (2.5%), treated with angiotensin 2 receptor antagonists, followed by diuretics, calcium antagonists, and β-blockers.

Conclusion

This group of patients with T2DM has been treated mainly with metformin alone or in combination with other antidiabetic drugs, but despite the changes in treatment in recent years, a significant number of patients with concomitant cardiovascular conditions are not receiving appropriate antidiabetic agents. Sodium-glucose type 2 cotransporter or glucagon-like peptide-1 receptor agonists may offer additional benefits with reduced cardiovascular risk.

Paucity of Published Data and Protocols for Hypoglycemia Management in Long-term Care

Background: Older people with diabetes are at high risk for hypoglycemia. Implementing a hypoglycemia treatment protocol in long-term care (LTC) settings may positively affect patient-related outcomes and health care resource utilization and costs. Anecdotal experience indicates little has been studied and published regarding this clinical practice. Objective: To identify hypoglycemia treatment protocols established for LTC settings and assess their effects on patient-related outcomes and health care resource use. Data Sources: The authors performed a systematic literature search of English-language articles and abstracts published between January 1, 2003 (PubMed), or 2018 (Google Scholar) and May 10, 2023. Search terms were "hypoglycemia," "diabetes mellitus," "longterm care," "nursing facilities," "assisted living facilities," "geriatrics," "elderly," "aged," "disabled," "disease management," "evidence-based medicine," "clinical protocols," "guideline," "glucagon," and/or "blood glucose." Included were publications with hypoglycemia treatment and management protocols or hypoglycemia-specific recommendations for LTC settings. DATA SYNTHESIS: The authors identified 405 articles and abstracts, removed 36 duplicates, screened 369 titles/ abstracts, and analyzed the full text for 93. Five met the inclusion criteria. Two originated from the American Diabetes Association: 2016 position statement regarding the management of diabetes in LTC and skilled nursing facilities, and 2023 standard-of-care guideline for managing older people with diabetes. One included the results after implementing an overall diabetes clinical care management algorithm in LTC facilities. A 2020 abstract and 2019 article were the only 2 publications involving specific hypoglycemia treatment protocols in LTC settings. Conclusion: This systematic literature search identified lack of published hypoglycemia treatment protocols in LTC settings and their effects on patient outcomes.

Metformin: Beyond Type 2 Diabetes Mellitus

Metformin was developed from an offshoot of Guanidine. It is known to be the first-line medication for type 2 diabetes mellitus, polycystic ovarian syndrome, and weight reduction. Metformin has also been shown to have effectiveness in the management of non-alcoholic fatty liver disease (NAFLD), liver cirrhosis, and various carcinomas like hepatocellular, colorectal, prostate, breast, urinary bladder, blood, melanoma, bone, skin, lung and so on. This narrative review focuses on the effect of metformin on non-alcoholic fatty liver disease, liver cirrhosis, and hepatocellular carcinoma. The search platforms for the topic were PubMed, Scopus, and Google search engine. Critical words for searching included 'Metformin,' AND 'Indications of Metformin,' AND 'Non-Alcoholic Fatty Liver Disease,' AND 'Metformin mechanism of action,' AND 'NAFLD management,' AND 'NAFLD and inflammation,' AND 'Metformin and insulin,' AND 'Metformin and inflammation,' AND 'Liver cirrhosis,' AND 'Hepatocellular carcinoma.' Lifestyle modification and the use of hypoglycemic agents can help improve liver conditions. Metformin has several mechanisms that enhance liver health, including reducing reactive oxygen species, nuclear factor kappa beta (NF-κB), liver enzymes, improving insulin sensitivity, and improving hepatic cell lipophagy. Long-term use of metformin may cause some adverse effects like lactic acidosis and gastrointestinal disturbance. Metformin long-term overdose may lead to a rise in hydrogen sulfide in liver cells, which calls for pharmacovigilance. Drug regulating authorities should provide approval for further research, and national and international guidelines need to be developed for liver diseases, perhaps with the inclusion of metformin as part of the management regime.

Out of Sight, Out of Mind: A Call to Action for the Treatment of Hypoglycemia

Hypoglycemia will inevitably occur. Being prepared and implementing a treatment plan should help to restore euglycemia and resolve hypoglycemia symptoms. The plan comprises fast-acting carbohydrates and, importantly, ready-to-use glucagon for self-administration when carbohydrates are not working or for third-party administration when the affected person is unwilling or unable to swallow (e.g., unconscious or in a coma).

Are the cardiovascular properties of GLP-1 receptor agonists differentially modulated by sulfonylureas? Insights from post-hoc analysis of EXSCEL

AIMS

To examine whether the cardiovascular effects of glucagon-like peptide-1 (GLP-1) receptor agonists are attenuated by concurrent sulfonylurea (SU) therapy in a post-hoc analysis of the Exenatide Study of Cardiovascular Event Lowering (EXSCEL).

METHODS

We investigated whether SUs, as a class or by specific type, modulated the effects of once-weekly exenatide (EQW) on EXSCEL cardiovascular outcomes in intent-to-treat analyses of all trial participants, categorized as SU users or nonusers. Marginal structural models were used to evaluate whether there were differential EQW effects by SU category on major adverse cardiovascular events (MACE), depending on duration of SU use (6, 12, and 18 months). EQW-by-SU type interaction p-values and hazard ratios (95 % CIs) for EQW versus placebo for each baseline SU type (glibenclamide, gliclazide, glimepiride, other SUs) were calculated.

RESULTS

Neither SU use nor baseline SU type modified the effect of EQW on time to MACE (pinteraction = 0.88 and 0.78, respectively), nor did individual SU types, including glibenclamide (a systemically wide-acting SU).

CONCLUSIONS

SUs did not modulate the effect of EQW on cardiovascular outcomes, suggesting that SU treatment choices need not be altered to optimize the cardiovascular effects of GLP-1 receptor agonists in people with type 2 diabetes.

National trends in utilisation of glucose lowering medicines by older people with diabetes in long-term care facilities

AIMS

To examine national trends in glucose lowering medicine (GLM) use among older people with diabetes in long-term care facilities (LTCFs) during 2009-2019.

METHODS

A repeated cross-sectional study of individuals ≥65 years with diabetes in Australian LTCFs (n = 140,322) was conducted. Annual age-sex standardised prevalence of GLM use and number of defined daily doses (DDDs)/1000 resident-days were estimated. Multivariable Poisson or Negative binomial regression models were used to estimate adjusted rate ratios (aRRs) and 95 % confidence intervals (CIs).

RESULTS

Prevalence of GLM use remained steady between 2009 (63.9%, 95 %CI 63.3-64.4) and 2019 (64.3%, 95 %CI 63.9-64.8) (aRR 1.00, 95 %CI 1.00-1.00). The percentage of residents receiving metformin increased from 36.0% (95 %CI 35.3-36.7) to 43.5% (95 %CI 42.9-44.1) (aRR 1.01, 95 %CI 1.01-1.01). Insulin use also increased from 21.5% (95 %CI 21.0-22.0) to 27.0% (95 %CI 26.5-27.5) (aRR 1.02, 95 %CI 1.02-1.02). Dipeptidyl peptidase-4 inhibitor use increased from 1.0% (95 %CI 0.9-1.1) to 21.1% (95 %CI 20.7-21.5) (aRR 1.24, 95 %CI 1.24-1.25), while sulfonylurea use decreased from 34.4% (95 %CI 33.8-35.1) to 19.3% (95 %CI 18.9-19.7) (aRR 0.93, 95 %CI 0.93-0.94). Similar trends were observed in DDDs/1000 resident days.

CONCLUSIONS

The increasing use of insulin and ongoing use of sulfonylureas suggests a need to implement evidence-based strategies to optimise diabetes care in LTCFs.

Continuous Glucose Monitoring-Guided Insulin Administration in Long-Term Care Facilities: A Randomized Clinical Trial

OBJECTIVES

To evaluate the efficacy of real-time continuous glucose monitoring (rt-CGM) in adjusting insulin therapy in long-term care facilities (LTCF).

DESIGN

Prospective randomized clinical trial.

SETTINGS AND PARTICIPANTS

Insulin-treated patients with type 2 diabetes (T2D) admitted to LTCF.

METHODS

Participants in the standard of care wore a blinded CGM with treatment adjusted based on point-of-care capillary glucose results before meals and bedtime (POC group). Participants in the intervention (CGM group) wore a Dexcom G6 CGM with treatment adjusted based on daily CGM profile. Treatment adjustment was performed by the LTCF medical team, with a duration of intervention up to 60 days. The primary endpoint was difference in time in range (TIR 70-180 mg/dL) between treatment groups.

RESULTS

Among 100 participants (age 74.73 ± 11 years, 80% admitted for subacute rehabilitation and 20% for nursing home care), there were no significant differences in baseline clinical characteristics between groups, and CGM data were compared for a median of 17 days. There were no differences in TIR (53.38% ± 30.16% vs 48.81% ± 28.03%, P = .40), mean daily mean CGM glucose (184.10 ± 43.4 mg/dL vs 190.0 ± 45.82 mg/dL, P = .71), or the percentage of time below range (TBR) <70 mg/dL (0.83% ± 2.59% vs 1.18% ± 3.54%, P = .51), or TBR <54 mg/dL (0.23% ± 0.85% vs 0.56% ± 2.24%, P = .88) between rt-CGM and POC groups.

CONCLUSIONS AND IMPLICATIONS

The use of rtCGM is safe and effective in guiding insulin therapy in patients with T2D in LTCF resulting in a similar improvement in glycemic control compared to POC-guided insulin adjustment.

Sliding Scale Insulin Use in Nursing Homes Before and After Onset of the COVID-19 Pandemic

OBJECTIVE

To characterize sliding-scale insulin (SSI) use in US nursing homes (NHs) before and after the COVID-19 pandemic.

DESIGN

Cross-sectional study.

SETTING AND PARTICIPANTS

A total of 129,829 US NH residents on SSI (01/2018-06/2022) across 12 NH chains with a common electronic health record system.

METHODS

Among all residents with at least 1 administration of SSI documented in the electronic medication administration record, we described resident demographics, frequency of SSI monotherapy vs combination therapy with another diabetes medication, number of daily capillary blood glucose readings ("fingersticks"), and hypoglycemia (capillary blood glucose <70 mg/dL) and hyperglycemia after first SSI use. We used interrupted time series analysis (ITS) with segmented linear regression models to examine whether the monthly prevalence of SSI use changed at and after the onset of the COVID-19 pandemic (March 2020).

RESULTS

There were 129,829 unique NH residents with SSI use [51% women, average age 71.3 (SD 11.7) years]. Of these, 36% of residents received SSI monotherapy and 64% received SSI combination therapy. Residents on SSI received an average of 3.96 (SD 1.41) fingersticks per day. Overall, 26% of SSI users experienced a hypoglycemic event within 30 days of the first SSI dose. The ITS analysis identified a step decrease in the rate of SSI use following the onset of the COVID-19 pandemic (43 fewer SSI users per 1000 insulin users) but no change in overall trend over time from before the onset of the pandemic.

CONCLUSIONS AND IMPLICATIONS

SSI use and fingerstick burden are high in NH residents. Hypoglycemia occurred commonly among residents on SSI. Future research should compare the safety and effectiveness of SSI monotherapy vs other diabetes medication regimens to guide person-centered prescribing decisions in NHs.