Adherence to Antidepressants in Korean Elderly Patients with Major Depressive Disorder

Objective@#Adherence is an important component in the treatment of various diseases, and poor adherence to antidepressants in patients with major depressive disorder is common. Non-adherence can be more prevalent in elderly patients with multiple morbidity and polypharmacy, resulting in negative treatment outcomes. The purpose of this study was to analyze adherence to antidepressants in Korean elderly patients with major depressive disorder. Method: A retrospective study was conducted using the Korean National Health Insurance claims database, and the subjects of this study were patients aged 65 or older who received at least one prescription of antidepressant monotherapy for the treatment of major depressive disorder between January 1, 2020 and June 30, 2020. Adherence was measured using the proportion of days covered at 6 months after the initial antidepressant prescription date. Logistic regression analysis was used to identify factors associated with adherence. @*Results@#A total of 416,766 patients were finally included in the study. Over half of patients were non-adherent (52.67%) to antidepressants. According to the multivariate logistic regression analysis, national health insurance or medical aid, taking selective serotonin reuptake inhibitors or selective norepinephrine reuptake inhibitors, and having comorbidities were significantly associated with greater rates of adherence in the study subjects. The highest adherence rate was observed in patients taking vortioxetine. @*Conclusion@#There was a considerable rate of non-adherence in Korean elderly patients with major depressive disorder. Health care professionals should try to improve adherence in elderly patients with major depressive disorder.

Evaluation of Potential Drug-Drug Interactions in Patients Taking HMG CoA-reductase Inhibitors

Objective@#The 3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitors (statins) are frequently prescribed medications worldwide for the treatment of hypercholesterolemia. Statins are considered to be well tolerated; however, they have a potential for myotoxicity. Concomitant drugs that inhibit cytochrome P450 3A4 can increase the concentration of statins and thus the risk of developing myotoxicity. The purpose of this study was to evaluate risk factors associated with potential drug-drug interactions in patients receiving statins. @*Methods@#The subjects of this study were patients aged more than 18 years who received at least one prescription of statins in a general hospital located in Chuncheon-si, Korea, between January 1, 2018, and March 31, 2018. Data regarding statin use and baseline characteristics was collected from the computerized hospital database. Logistic regression analysis was used to identify risk factors associated with potential drug-drug interactions. @*Results@#A total of 1061 patients were finally included in the study. The incidence of potential drug-drug interactions was 45% in all subjects. According to the results of the multivariate logistic regression analysis, myocardial infarction as the indication of statin, arrhythmia or heart failure as a comorbidity, and aspartate aminotransferase levels higher than 40 IU/L were significant risk factors for potential drug-drug interactions in study subjects. Diltiazem was the most commonly co-prescribed drug that caused potential drug-drug interactions with statins. @*Conclusion@#There was a considerable rate of potential drug-drug interactions in patients receiving statins. Health care professionals should attempt to reduce potential drug-drug interactions during statin administration.

Evaluation of Potential Drug-Drug Interactions in Patients Taking HMG CoA-reductase Inhibitors

Objective@#The 3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitors (statins) are frequently prescribed medications worldwide for the treatment of hypercholesterolemia. Statins are considered to be well tolerated; however, they have a potential for myotoxicity. Concomitant drugs that inhibit cytochrome P450 3A4 can increase the concentration of statins and thus the risk of developing myotoxicity. The purpose of this study was to evaluate risk factors associated with potential drug-drug interactions in patients receiving statins. @*Methods@#The subjects of this study were patients aged more than 18 years who received at least one prescription of statins in a general hospital located in Chuncheon-si, Korea, between January 1, 2018, and March 31, 2018. Data regarding statin use and baseline characteristics was collected from the computerized hospital database. Logistic regression analysis was used to identify risk factors associated with potential drug-drug interactions. @*Results@#A total of 1061 patients were finally included in the study. The incidence of potential drug-drug interactions was 45% in all subjects. According to the results of the multivariate logistic regression analysis, myocardial infarction as the indication of statin, arrhythmia or heart failure as a comorbidity, and aspartate aminotransferase levels higher than 40 IU/L were significant risk factors for potential drug-drug interactions in study subjects. Diltiazem was the most commonly co-prescribed drug that caused potential drug-drug interactions with statins. @*Conclusion@#There was a considerable rate of potential drug-drug interactions in patients receiving statins. Health care professionals should attempt to reduce potential drug-drug interactions during statin administration.

Risk Factors for Vancomycin-Associated Nephrotoxicity in Elderly Patients

OBJECTIVE: Infection is very common in the elderly, so there is a high prevalence of antibiotics use among this population. Especially, due to the emergence of resistant bacteria, the use of vancomycin is growing. The purpose of this study was to evaluate risk factors associated with vancomycin-induced nephrotoxicity in elderly patients. METHODS: The subjects of this study were patients over 18 years old who received intravenous vancomycin in a general hospital located in Gangneung-si, Korea between August 1, 2013 and July 31, 2015. Data collection regarding vancomycin use and baseline characteristics was conducted using computerized hospital database. Logistic regression analysis was used to identify risk factors associated with vancomycin-induced nephrotoxicity. RESULTS: A total of 290 patients were finally included, and 191(66%) out of these patients were age 65 or older. The incidence of vancomycin-induced nephrotoxicity was 11.0%, 12.6%, and 7.0% in the all adult patients, the elderly patients, and the non-elderly patients, respectively. There were significant differences in comorbidities between patients with nephrotoxicity and patients without nephrotoxicity in the all adult patients, and there were significant differences in vancomycin duration, comorbidities, and number of nephrotoxic agents between patients with nephrotoxicity and patients without nephrotoxicity in the elderly patients. However, according to the logistic regression analysis, there was no significant risk factor that increases the incidence of vancomycin-induced nephrotoxicity in all three age groups. CONCLUSION: There were no differences in risk factors that increase the incidence of vancomycin-induced nephrotoxicity between all adult patients, elderly patients, and non-elderly patients. Further studies with larger sample sizes to identify risk factors associated with vancomycin-induced nephrotoxicity in the elderly to improve the outcome of pharmacotherapy are required.

Risk Factors for Adverse Reactions to Iodinated Contrast Media in Computed Tomography

OBJECTIVE: The increasing use of imaging examinations such as computed tomography (CT) results in increased contrast media use, which increases contrast media-induced adverse reactions (AR). This study investigated the risk factors of ARs to nonionic iodinated contrast media. METHODS: This study evaluated patients who were administered iodinated contrast media during CT scanning in Yeouido St. Mary's Hospital in Seoul, Korea in 2012. Among the subjects, those with contrast media-induced ARs were classified as the AR group. The control group included individuals without ARs who were selected through simple random sampling. The effects of sex, age, contrast media type and dose, CT region, previous contrast media administration, allergy history, and comorbidity were analyzed in the AR and control groups. RESULTS: Multivariate logistic regression analyses were performed to evaluate the identified AR risk factors in 103 subjects in the AR group and 412 subjects in the control group. The results confirmed that the risk of developing ARs was significantly higher in females [odds ratio (OR): 2.206; 95% confidence interval (CI): 1.353-3.598], in individuals administered Iohexol (OR: 9.981; 95% CI: 2.361-42.193), in individuals with an allergy history (OR: 3.982; 95% CI: 1.742-9.101), and in individuals with comorbid asthma (OR: 6.619; 95% CI: 1.377-31.826). Most of the ARs were mild and immediate. CONCLUSION: In patients who were administered contrast media during CT scans, female gender, Iohexol use, allergy history, and asthma were risk factors for ARs. Therefore, special care is required for patients with such risk factors to prevent ARs.

Prescribing Patterns of Pain Medication in Hospitalized Elderly Patients with Non-Cancer Pain

OBJECTIVE: Pain is very common in the elderly, so there is a high prevalence of analgesic use among this population. The purpose of this study was to assess patterns of analgesic use and evaluate factors associated with analgesic use in elderly patients. METHOD: The subjects of this study were patients over 65 years old hospitalized in a teaching hospital located in Chuncheon-si, Korea between January 1, 2014 and March 31, 2014. Data collection regarding analgesic prescriptions and baseline characteristics was conducted using computerized hospital database by medical information team. Logistic regression analysis was used to identify factors related to analgesic use. RESULTS: A total of 2,394 patients were finally included. Among these patients, 700 (29.2%) took analgesics; 521 (74.4%) out of these 700 patients were received opioid analgesics and 179 (25.6%) were received only non-opioid analgesics. The most frequently prescribed opioid analgesic was pethidine (45.7%), and the most frequently prescribed non-opioid analgesic was acetaminophen (44.1%). Fracture was associated with increased odds of opioid analgesic prescriptions (OR = 2.766, 95% CI = 2.019-3.790, p < 0.001) and any analgesic prescriptions (OR = 2.394, 95% CI = 1.766-3.244, p < 0.001). Stroke or cerebral infarction was associated with decreased odds of opioid analgesic prescriptions (OR = 0.636, 95% CI = 0.471-0.858, p = 0.003). CONCLUSION: A significant proportion of hospitalized elderly patients use analgesics. Health care professionals should consider factors associated with analgesic use in this population to improve pain management.