Impact of sitagliptin combination therapy and hypoglycemia in Japanese patients with type 2 diabetes: a multi-center retrospective observational cohort study

Impact of sodium-glucose cotransporter-2 inhibitors on the risk of hip fracture in older patients in Japan using a nationwide administrative claims database: A matched case-control study

AIM

Some clinical trials have shown that sodium-glucose cotransporter-2 (SGLT2) inhibitors are associated with fracture risk. However, this notion remains controversial. This study aimed to evaluate hip fracture risk after the use of SGLT2 inhibitors while controlling for factors that may affect fracture risk. Furthermore, hip fracture risk is evaluated in relation to the SGLT2 inhibitors component and its concomitant use with other antidiabetic agents.

METHODS

Using large-scale real-world data, this case-control study investigated hospitalized patients between January 2018 and December 2020. Patients were aged 65-89 years and had been prescribed with SGLT2 inhibitors at least twice. Patients with hip fracture (cases) and those without (controls) were identified via 1:3 matching according to sex, age (±3 years), hospital size classification, and number of concomitant antidiabetic agents. Exposure to SGLT2 inhibitors of the cases and controls was compared with the use of multivariate conditional logistic regression.

RESULTS

After matching, 396 cases and 1081 controls were identified. The adjusted odds ratio for patients receiving treatment with SGLT2 inhibitors was 0.83 (95% confidence interval: 0.55-1.26), indicating no increase in hip fracture risk. Additionally, no increased risk was observed with respect to SGLT2 inhibitors by component or concomitant use with other antidiabetic agents.

CONCLUSION

Our study showed that SGLT2 inhibitors do not increase hip fractures in older patients. However, because the risk assessment of SGLT2 inhibitors by component and their concomitant use with other antidiabetic agents is based on a limited number of patients, it is important to interpret the results with caution. Geriatr Gerontol Int 2023; ••: ••-••.

Drug Interactions Affecting Antiarrhythmic Drug Use

Antiarrhythmic drugs (AAD) play an important role in the management of arrhythmias. Drug interactions involving AAD are common in clinical practice. As AADs have a narrow therapeutic window, both pharmacokinetic as well as pharmacodynamic interactions involving AAD can result in serious adverse drug reactions ranging from arrhythmia recurrence, failure of device-based therapy, and heart failure, to death. Pharmacokinetic drug interactions frequently involve the inhibition of key metabolic pathways, resulting in accumulation of a substrate drug. Additionally, over the past 2 decades, the P-gp (permeability glycoprotein) has been increasingly cited as a significant source of drug interactions. Pharmacodynamic drug interactions involving AADs commonly involve additive QT prolongation. Amiodarone, quinidine, and dofetilide are AADs with numerous and clinically significant drug interactions. Recent studies have also demonstrated increased morbidity and mortality with the use of digoxin and other AAD which interact with P-gp. QT prolongation is an important pharmacodynamic interaction involving mainly Vaughan-Williams class III AAD as many commonly used drug classes, such as macrolide antibiotics, fluoroquinolone antibiotics, antipsychotics, and antiemetics prolong the QT interval. Whenever possible, serious drug-drug interactions involving AAD should be avoided. If unavoidable, patients will require closer monitoring and the concomitant use of interacting agents should be minimized. Increasing awareness of drug interactions among clinicians will significantly improve patient safety for patients with arrhythmias.

Hypertension in diabetes care: emerging roles of recent hypoglycemic agents

Patients with type 2 diabetes (T2D) frequently have multiple cardiovascular, metabolic, and renal comorbidities, such as hypertension, dyslipidemia, hyperuricemia, chronic kidney disease, and heart failure. Accordingly, this patient population often requires polypharmacy, which is associated with an increased risk of drug-drug interactions, poor adherence, and even adverse outcomes. Accumulating evidence on newer hypoglycemic agents, such as glucagon-like peptide-1 receptor agonists and sodium-glucose cotransporter 2 inhibitors, has highlighted the marked improvements in cardiovascular and renal outcomes associated with the off-target benefits for relevant comorbidities, including hypertension. These classes of hypoglycemic agents are unique, as they achieve consistently modest but significant reductions in systolic and diastolic blood pressure (BP), an effect that has not been targeted and observed with conventional hypoglycemic agents. In addition to this BP-lowering effect, these agents also have multifaceted beneficial impacts on other cardiometabolic and renal parameters, which appear to be helpful for providing an important comprehensive therapeutic approach to improve the prognosis in patients with T2D. The clinical advantages of these agents may reduce the dose and number of concomitant medications used to treat T2D and related comorbidities. These positive spillover effects may also enhance the clinical use of agents to achieve better diabetes care. As a consequence, the clinical significance of these hypoglycemic agents now extends beyond their hypoglycemic effects, thereby providing a new-normal strategy to use in an evidence-based, patient-centric approach to diabetes care.

Fasting biochemical hypoglycemia and related-factors in non-diabetic population: Kanagawa Investigation of Total Check-up Data from National Database-8

BACKGROUND

In healthy people, the lowest daily blood glucose concentration is usually observed in the early morning, after overnight fasting. However, the clinical relevance and the prevalence of fasting biochemical hypoglycemia (FBH) are poorly understood in people who do not have diabetes, although the clinical implications of such hypoglycemia have been extensively studied in patients with diabetes. FBH can be influenced by many factors, including age, sex, body mass, smoking, alcohol drinking, exercise levels, medications, and eating behaviors, such as breakfast skipping and late-night eating.

AIM

To determine the prevalence of FBH and investigated its association with potential risk factors in a population without diabetes.

METHODS

Clinical parameters and lifestyle-related factors were assessed in a cross-sectional study of 695613 people aged 40-74 years who had undergone a health check-up (390282 men and 305331 women). FBH was defined as fasting plasma glucose < 70 mg/dL (3.9 mmol/L) after overnight fasting, regardless of any symptoms. The absence of diabetes was defined as HbA1c < 6.5%, fasting plasma glucose < 126 mg/dL (7.0 mmol/L), and no pharmacotherapy for diabetes. Multivariate logistic regression analysis, with adjustment for confounding factors, was used to identify associations.

RESULTS

FBH was present in 1842 participants (0.26%). There were significantly more women in the FBH group (59.1%) than in the non-FBH group (43.9%). Values of most of the clinical parameters, but not age, were significantly lower in the FBH group than in the non-FBH group. Logistic regression analysis showed that a body mass index of ≤ 20.9 kg/m² (reference: 21-22.9 kg/m²) and current smoking were significantly associated with FBH, and this was not altered by adjustment for age, sex, and pharmacotherapy for hypertension or dyslipidemia. Female sex was associated with FBH. When the data were analyzed according to sex, men in their 60s or 70s appeared more likely to experience FBH compared with their 40s, whereas men in their 50s and women aged ≥ 50 years appeared less likely to experience FBH. The relationships of FBH with other factors including alcohol drinking and pharmacotherapies for hypertension and dyslipidemia also differed between men and women.

CONCLUSION

FBH occurs even in non-diabetic people, albeit at a very low frequency. FBH is robustly associated with low body mass and smoking, and its relationship with lifestyle factors varies according to sex.