Association Between Alcohol Use Disorder and Hospital Readmission Rates and Outcomes in Cancer Survivors: A Population Cohort Study.

BACKGROUND: Alcohol use disorder (AUD) is the most common substance use disorder and is characterized by heavy alcohol use and the inability to control drinking. This study sought to compare the rate, timing, length, and total costs of hospital readmissions among cancer survivors with and without AUD. METHODS: We used the Nationwide Readmissions Database in 2017 and 2018 in this cohort study. Cancer survivors with an AUD diagnosis during their index hospitalization were included in the exposure group. Propensity score matching was used to identify cancer survivors without AUD for the control group. The primary outcome was all-cause readmission, and secondary outcomes included days to, length of, and total cost of readmission. Outcomes were measured after 90 and 180 days of follow-up. Logistic regression was used to measure the likelihood of readmission, and negative binomial regression and gamma regression were used for the other outcomes. RESULTS: Of 485,962 cancer survivors, 13,953 (2.9%) had co-occurring AUD. Cancer survivors with AUD had slightly higher odds of 90-day (odds ratio, 1.14; 95% CI, 1.06-1.22) and 180-day (odds ratio, 1.11; 95% CI, 1.05-1.18) readmission compared with those without AUD. Cancer survivors with AUD who were readmitted after 90 days also had higher readmission costs ($3,785 vs $3,376; P=.03). No differences in time to and length of readmission were observed between groups. The odds of readmission were higher among cancer survivors with AUD irrespective of age and type of cancer. Male, but not female, cancer survivors with AUD were more likely than those without AUD to be readmitted in both follow-up periods. CONCLUSIONS: This population-based cohort study of cancer survivors in the United States found that AUD is associated with higher 90- and 180-day readmission rates and higher related health care costs after 90 days of follow-up. Hospitalized cancer survivors with AUD may benefit from addiction treatment and discharge planning that addresses their co-occurring AUD.

Patient attitudes, experiences, and satisfaction with healthcare and office visit utilization among Medicare beneficiaries with type 2 diabetes.

OBJECTIVES: To examine patient attitudes, experiences, and satisfaction with healthcare associated with office visit utilization among Medicare beneficiaries with type 2 diabetes. METHODS: We analyzed the 2019 Medicare Current Beneficiary Survey Public Use File of beneficiaries aged ≥65 years with type 2 diabetes (n = 1092). The ordinal dependent variable was defined as 0, 1 to 5, and ≥6 office visits. An ordinal partial proportional odds model was conducted to examine associations of beneficiaries' attitudes, experiences, and satisfaction with healthcare and office visit utilization. RESULTS: Among the beneficiaries, approximately 17.7%, 22.8%, and 59.5% reported having 0, 1 to 5, and ≥6 office visits, respectively. Being male (OR = 0.67, p = 0.004), Hispanic (OR = 0.53, p = 0.006), divorced/separated (OR = 0.62, p = 0.038) and living in a non-metro area (OR = 0.53, p < 0.001) were associated with a lower likelihood of attending more office visits. Trying to keep sickness to themselves (OR = 0.66, p = 0.002) and dissatisfaction with the ease and convenience of getting to providers from home (OR = 0.45, p = 0.010) were associated with a lower likelihood of having more office visits. DISCUSSION: The proportion of beneficiaries foregoing office visits is concerning. Attitudes concerning healthcare and transportation challenges can be barriers to office visits. Efforts to ensure timely and appropriate access to care should be prioritized for Medicare beneficiaries with diabetes.

Trends in Drug Spending of Oral Anticoagulants for Atrial Fibrillation, 2014-2021.

INTRODUCTION: This study documents cost trends in oral anticoagulants (OAC) in patients with newly diagnosed atrial fibrillation. METHODS: Using MarketScan databases, the mean annual patients' out-of-pocket costs, insurance payments, and the proportion of patients initiating OAC within 90 days from atrial fibrillation diagnosis were calculated from July 2014 to June 2021. Costs of OACs (apixaban, dabigatran, edoxaban, rivaroxaban, and warfarin) and the payments by three insurance types (commercial payers, Medicare, and Medicaid) were calculated. Patients' out-of-pocket costs and insurance payments were adjusted to 2021 prices. Joinpoint regression models were used to test trends of outcomes and average annual percent changes (AAPC) were reported. Data analyses were performed in 2022-2023. RESULTS: From July 2014 to June 2021, the mean annual out-of-pocket costs of any OAC increased for commercial insurance (AAPC 3.0%) and Medicare (AAPC 5.1%) but decreased for Medicaid (AAPC -3.3%). The mean annual insurance payments for any OAC significantly increased for all insurance groups (AAPC 13.1% [95% CI 11.3-15.0] for Medicare; AAPC 11.8% [95% CI 8.0-15.6] for commercial insurance; and AAPC 16.3% [95% CI 11.3-21.4] for Medicaid). The initiation of any OAC increased (AAPC 7.3% for commercial insurance; AAPC 10.2% for Medicare; AAPC 5.3% for Medicaid). CONCLUSIONS: There was a substantial increase in the overall cost burden of OACs and OAC initiation rates in patients with newly diagnosed atrial fibrillation in 2014-2021; these findings provide insights into the current and anticipated impact of rising drug prices on patients' and payers' financial burden.

Long QT syndrome after using EGFR-TKIs in older patients with advanced non-small cell lung cancer.

BACKGROUND: Long QT syndrome (LQTS) has been reported in older patients with advanced non-small cell lung cancer (NSCLC) following the use of osimertinib, the third-generation epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI). However, there have not been analytic epidemiology studies on this topic. We aimed to compare the risk of LQTS between osimertinib and first/second-generation EGFR-TKIs in older patients with advanced NSCLC. RESEARCH DESIGN AND METHODS: This retrospective observational study used the 2006-2019 Surveillance, Epidemiology, and End Results (SEER)-Medicare data and included older patients with advanced NSCLC who were treated with either osimertinib or first/second-generation EGFR-TKIs during 2007-2017. Inverse probability of treatment weighting (IPTW) was used to balance the two groups with propensity scores estimated based on the patients' socioeconomic and clinical characteristics. Crude incidence rate (IR) and adjusted hazard ratio (HR) of the primary outcome, incident LQTS, were estimated. RESULTS: A total of 545 and 1,135 patients were included in the osimertinib and first/second-generation EGFR-TKI groups, which increased to 1,614 and 1,659, respectively, after IPTW. The osimertinib group had a higher IR of LQTS (2.62 per 100 person-years, 95% CI 2.03-3.38) compared to the first/second-generation EGFR-TKI group (1.33 per 100 person-years, 95% CI 0.92-1.92). After adjusting for covariates, the osimertinib group had a higher risk of LQTS than the first/second-generation EGFR-TKI group, with an HR of 1.94 (95% CI 1.23-3.08). The increased LQTS risk in the osimertinib group was even higher in females, whites and patients aged ≥ 75. CONCLUSIONS: Given the elevated risk of LQTS associated with osimertinib user, close monitoring for cardiac rhythm irregularities of high-risk patients following initiation of EGFR-TKI is recommended.

Long QT syndrome (LQTS) indicates a disorder of heart beats with prolonged QT intervals. There have been reports of LQTS in older patients with advanced non-small cell lung cancer (NSCLC) who were treated with osimertinib, a third-generation epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI). We conducted a retrospective study using Surveillance, Epidemiology, and End Results (SEER)-Medicare database, including older patients aged ≥ 65 with advanced NSCLC who were treated with EGFR-TKIs. Our results show higher incidence of LQTS after using osimertinib than first/second-generation EGFR-TKIs. After adjusting for patients' characteristics that might have affected the incidence of LQTS, the risk of LQTS was significantly higher in osimertinib users than in earlier generation EGFR-TKI users. Females, whites, and patients aged ≥ 75 had an even higher risk of LQTS when treated with osimertinib. Close monitoring for cardiac rhythm irregularities in high-risk patients after osimertinib initiation is recommended.

Patient-Centered Economic Burden of Exudative Age-Related Macular Degeneration: Retrospective Cohort Study.

BACKGROUND: Exudative age-related macular degeneration (AMD), one of the leading causes of blindness, requires expensive drugs such as anti-vascular endothelial growth factor (VEGF) agents. The long-term regular use of effective but expensive drugs causes an economic burden for patients with exudative AMD. However, there are no studies on the long-term patient-centered economic burden of exudative AMD after reimbursement of anti-VEGFs. OBJECTIVE: This study aimed to evaluate the patient-centered economic burden of exudative AMD for 2 years, including nonreimbursement and out-of-pocket costs, compared with nonexudative AMD using the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). METHODS: This retrospective cohort study was conducted using the OMOP CDM, which included 2,006,478 patients who visited Seoul National University Bundang Hospital from June 2003 to July 2019. We defined the exudative AMD group as patients aged >50 years with a diagnosis of exudative AMD and a prescription for anti-VEGFs or verteporfin. The control group was defined as patients aged >50 years without a diagnosis of exudative AMD or a prescription for anti-VEGFs or verteporfin. To adjust for selection bias, controls were matched by propensity scores using regularized logistic regression with a Laplace prior. We measured any medical cost occurring in the hospital as the economic burden of exudative AMD during a 2-year follow-up period using 4 categories: total medical cost, reimbursement cost, nonreimbursement cost, and out-of-pocket cost. To estimate the average cost by adjusting the confounding variable and overcoming the positive skewness of costs, we used an exponential conditional model with a generalized linear model. RESULTS: We identified 931 patients with exudative AMD and matched 783 (84.1%) with 2918 patients with nonexudative AMD. In the exponential conditional model, the total medical, reimbursement, nonreimbursement, and out-of-pocket incremental costs were estimated at US $3426, US $3130, US $366, and US $561, respectively, in the first year and US $1829, US $1461, US $373, and US $507, respectively, in the second year. All incremental costs in the exudative AMD group were 1.89 to 4.25 and 3.50 to 5.09 times higher in the first and second year, respectively, than those in the control group (P<.001 in all cases). CONCLUSIONS: Exudative AMD had a significantly greater economic impact (P<.001) for 2 years on reimbursement, nonreimbursement, and out-of-pocket costs than nonexudative AMD after adjusting for baseline demographic and clinical characteristics using the OMOP CDM. Although economic policies could relieve the economic burden of patients with exudative AMD over time, the out-of-pocket cost of exudative AMD was still higher than that of nonexudative AMD for 2 years. Our findings support the need for expanding reimbursement strategies for patients with exudative AMD given the significant economic burden faced by patients with incurable and fatal diseases both in South Korea and worldwide.

Two Cases of Multiple Ossicular Chain Disruption After Penetrating Injury and Tympanic Membrane Healing.

Ossicular chain disruption is a typical consequence of temporal bone trauma. However, it can also occur as a result of direct trauma to the ossicular chain due to penetrating injuries. Hearing loss, dizziness, and facial nerve damage could also occur after penetrating middle ear injuries. Multiple ossicular chain disruption is a rare traumatic ossicular complication caused by direct penetrating lesions in the external auditory canal. We present two cases of multiple ossicular disruptions (dislocation of the incudostapedial and malleoincudal joints) after ear-pick injuries, both of which resulted in conductive hearing loss. The condition improved after delayed surgical intervention (ossiculoplasty).

Prevalence of primary and secondary hypertension among hospitalized patients with cancer in the United States.

BACKGROUND: Hypertension is the most common comorbidity in patients with cancer. We aimed to estimate the prevalence of hypertension by demographic characteristics and cancer type among hospitalized patients with cancer. METHODS: Hospitalized cancer patients were included using 2016-2018 National Inpatient Sample data. The independent variable was the presence of hypertension, which was further classified as primary, secondary, and other hypertension. Patient characteristics were grouped by age, sex, race/ethnicity, and the 12 most common cancer types. Multinomial logistic regression was used. RESULTS: Among 638,670 hospitalized patients with cancer, 56.8% had hypertension. The predicted percentages of having any hypertension were higher with age, male gender, and black race. The predicted percentages of any hypertension were the highest in kidney cancer patients across all age and race/ethnicity groups. Uterine cancer was associated with the highest percentages of primary hypertension, followed by kidney cancer. Leukemia was associated with the highest percentages of secondary hypertension, followed by non-Hodgkin lymphoma. DISCUSSION: Kidney cancer patients had the highest predicted percentage of hypertension overall, while uterine cancer and leukemia had the highest percentages of primary and secondary hypertension, respectively. This study provides evidence for identifying cancer patients who need more attention for the prevention and management of hypertension.

Predicting unplanned readmission due to cardiovascular disease in hospitalized patients with cancer: a machine learning approach.

Cardiovascular disease (CVD) in cancer patients can affect the risk of unplanned readmissions, which have been reported to be costly and associated with worse mortality and prognosis. We aimed to demonstrate the feasibility of using machine learning techniques in predicting the risk of unplanned 180-day readmission attributable to CVD among hospitalized cancer patients using the 2017-2018 Nationwide Readmissions Database. We included hospitalized cancer patients, and the outcome was unplanned hospital readmission due to any CVD within 180 days after discharge. CVD included atrial fibrillation, coronary artery disease, heart failure, stroke, peripheral artery disease, cardiomegaly, and cardiomyopathy. Decision tree (DT), random forest, extreme gradient boost (XGBoost), and AdaBoost were implemented. Accuracy, precision, recall, F2 score, and receiver operating characteristic curve (AUC) were used to assess the model's performance. Among 358,629 hospitalized patients with cancer, 5.86% (n = 21,021) experienced unplanned readmission due to any CVD. The three ensemble algorithms outperformed the DT, with the XGBoost displaying the best performance. We found length of stay, age, and cancer surgery were important predictors of CVD-related unplanned hospitalization in cancer patients. Machine learning models can predict the risk of unplanned readmission due to CVD among hospitalized cancer patients.

Early impact of COVID-19 social distancing on social determinants of health and their effects on mental health and quality of life of Korean undergraduate students.

Introduction: This study aimed to investigate the association between social determinants of health and perception of COVID-19 social distancing/mental health/quality of life during COVID-19 social distancing in Korean undergraduate students using online survey data augmented with natural language processing. Methods: An online cross-sectional survey including sociodemographic characteristics, students' perceptions of COVID-19 social distancing, and social determinants of health was conducted between July and November in 2020. We conducted logistic regression analysis to investigate the relationship between social determinants of health (independent variables) and perceptions of COVID-19 social distancing, mental health, and quality of life (dependent variables). This association was augmented using sentiment analysis and word clouds by visualizing open-ended comments on COVID-19 social-distancing policies. Results: Data were collected from 1,276 undergraduate students. Participants who experienced negative impacts on their social-networking activities due to COVID-19 social distancing were at significantly higher odds to perceive COVID-19 social distancing as not being beneficial [odds ratio (OR) = 1.948, 95% confidence interval (CI) 1.254-3.027], to have increased stress levels (OR = 1.619, 95% CI 1.051-2.496), and to experience decreased quality of life over 5 weeks (OR = 2.230, 95% CI 1.448-3.434) against those who answered neutrally. In contrast, Participants who reported positive perceptions of social-networking activities during the COVID-19 pandemic had lower odds of feeling depressed or anxious (OR = 0.498, 95% CI 0.278-0.894) and reporting a low quality of life over 5 weeks (OR = 0.461, 95% CI 0.252-0.842) compared to those who reported neutral perceptions. Furthermore, the results of the word cloud and sentiment analyses showed that most students perceived social distancing negatively. Conclusions: The government's social-distancing policy to prevent the spread of COVID-19 may have had a negative impact, particularly on undergraduate students' social-networking activities. This highlights the need for greater social support for this population, including access to psychotherapeutic resources, and improvements in policies to prevent infectious diseases while still maintaining social connections.

Use of machine learning to predict bladder cancer survival outcomes: a systematic literature review.

INTRODUCTION: The objective of this systematic review is to summarize the use of machine learning (ML) in predicting overall survival (OS) in patients with bladder cancer. METHODS: Search terms for bladder cancer, ML algorithms, and mortality were used to identify studies in PubMed and Web of Science as of February 2022. Notable inclusion/exclusion criteria contained the inclusion of studies that utilized patient-level datasets and exclusion of primary gene expression-related dataset studies. Study quality and bias were assessed using the International Journal of Medical Informatics (IJMEDI) checklist. RESULTS: Of the 14 included studies, the most common algorithms were artificial neural networks (n = 8) and logistic regression (n = 4). Nine articles described missing data handling, with five articles removing patients with missing data entirely. With respect to feature selection, the most common sociodemographic variables were age (n = 9), gender (n = 9), and smoking status (n = 3), with clinical variables most commonly including tumor stage (n = 8), grade (n = 7), and lymph node involvement (n = 6). Most studies (n = 10) were of medium IJMEDI quality, with common areas of improvement being the descriptions of data preparation and deployment. CONCLUSIONS: ML holds promise for optimizing bladder cancer care through accurate OS predictions, but challenges related to data processing, feature selection, and data source quality must be resolved to develop robust models. While this review is limited by its inability to compare models across studies, this systematic review will inform decision-making by various stakeholders to improve understanding of ML-based OS prediction in bladder cancer and foster interpretability of future models.

An analysis type known as machine learning has recently become popular to predict survival in bladder cancer patients. However, there is debate on how to best use this method, as well as how to report the results of studies. This review looks at recently published machine learning studies, comparing various model details. Most studies found used hospital data, were clear about model factors, and used a model type called artificial neural networks. While these studies may be better at prediction compared to previous methods, there are consistency and clarity issues. Future studies should ensure that models are explainable and relevant to healthcare leaders.

Adherence to Adjuvant Endocrine Therapy and Survival Among Older Women with Early-Stage Hormone Receptor-Positive Breast Cancer.

BACKGROUND AND OBJECTIVE: Although improving adherence to adjuvant endocrine therapies (AETs) is critical to ensure better patient outcomes, the evidence is still lacking on differences in 5-year AET adherence trajectories. This study aimed to estimate the time trend of adherence by the type of individual AET and the association of adherence to AETs with overall survival among older women with hormone receptor-positive breast cancer. METHODS: This study used the Surveillance, Epidemiology, and End Results-Medicare database 2006-2016. We included women aged ≥ 65 years with newly diagnosed hormone receptor-positive breast cancer and who had initiated AET (anastrozole, letrozole, exemestane, or tamoxifen). Adherence to AETs was defined as the proportion of days covered that was calculated for the follow-up period (5 years). The overall survival time was defined as the time from the date of AET initiation to death. The linear mixed models with repeated measures were used to estimate the changes in adherence to AETs. The Cox proportional hazard model was used to assess the relationships (hazard ratio [HR] and 95% confidence interval [CI]) between adherence to AETs and death. RESULTS: A total of 11,617 patients were included. Anastrozole was the most commonly used (n = 6,908), followed by letrozole (n = 2,586), tamoxifen (n = 1,750), and exemestane (n = 373). The mean (standard deviation) of proportion of days covered for 5 years was 57.4 (34.6), indicating the highest proportion of days covered in the anastrozole group [61.1 (34.1)] and the lowest proportion of days covered in the exemestane group [44.0 (35.1)]. Overall, adherence to AET decreased over the 5-year follow-up period in all AET groups, but the decrease in the tamoxifen group was steeper (42.3% decreased) compared with other AETs. Anastrozole, letrozole, and exemestane groups were associated with a lower risk of death compared with the tamoxifen group (HR = 0.80, 95% CI 0.71-0.89 for anastrozole; HR = 0.82, 95% CI 0.72-0.93 for letrozole; HR = 0.82, 95% CI 0.63-1.07 for exemestane). CONCLUSIONS: Patients who initiated with tamoxifen had a steeper decrease in adherence over the 5 years compared with anastrozole, letrozole, and exemestane groups. Furthermore, higher adherence was associated with a decreased risk of mortality. Physicians should be cognizant of decreasing adherence over time and choose effective treatment options with minimal side-effect profiles to better support adherence by patients with breast cancer.

Malignant Solitary Fibrous Tumor of the Nasal Cavity and Orbit: A Case Report.

Solitary fibrous tumors are well-recognized in the pleura and their occurrence in the nasal cavity is uncommon. They show a hemangiopericytoma-like vasculature, a "patternless pattern" of growth, and lesions characterized by both hypercellularity and hypocellularity. As a malignant form of SFT, mesenchymal neoplasm is extremely uncommon and poorly understood, although there are no established standards for making this diagnosis, it is nonetheless accepted. It can develop either de novo or within an already-existing benign SFT, and there are few published accounts of the cytopathologic characteristics of these tumors.In this case, a patient complained of tenderness on the right nasal root and diplopia for six months. Here, we report on a case of malignant solitary fibrous tumors in the nasal cavity, which extended into the orbit, and review the radiologic and pathologic features.

The impact of migraine and probable migraine on productivity loss in Korea: A cross-sectional online survey.

Migraine is an enormous burden on society, but relevant studies are limited. The population of interest of this study was migraine or probable migraine (PM) in Korea. In this population, we aimed to assess the productivity loss through the level of severity defined by monthly migraine days (MMD) and analgesic frequency and to estimate costs and associated factors of productivity loss. We conducted an online survey of adults with migraine symptoms. We defined migraine and PM using the modified International Classification of Headache Disorders, second edition. Severity level was defined by subgroups of MMD (0-3, 4-14, and ≥15 days) and analgesic frequency (0, 1, 2, 3, and ≥4 per week). Productivity loss was assessed using the Work Productivity and Activity Impairment questionnaire and consisted of absenteeism, presenteeism, overall work productivity loss, and activity impairment. The costs of productivity loss due to absenteeism and presenteeism were calculated in 2020 USD. We used negative binomial regression to identify the factors associated with the costs of productivity loss. We identified 362 respondents with migraine or PM. Mean age was 41.7 years, 75.7% were female (N = 274), and 73.2% (N = 265) were employed. On average, productivity losses due to absenteeism and presenteeism were 8.1% and 39.7%, respectively. As MMD increased, there was a trend toward increased activity impairment, presenteeism, and overall work productivity loss. The mean overall productivity loss cost was USD 44.61 per person per day. Duration of migraine attacks was significantly associated with higher absenteeism costs. The results of this study indicate that the higher the MMD, the greater the productivity loss in patients with migraine or PM in Korea. We also found that patients with low-frequency migraine and PM experienced substantial productivity loss. This study provides comprehensive evidence of the burden of migraine in Korea using a representative sample.

Impact of Integrating Machine Learning in Comparative Effectiveness Research of Oral Anticoagulants in Patients with Atrial Fibrillation.

We aimed to compare the ability to balance baseline covariates and explore the impact of residual confounding between conventional and machine learning approaches to derive propensity scores (PS). The Health Insurance Review and Assessment Service database (January 2012-September 2019) was used. Patients with atrial fibrillation (AF) who initiated oral anticoagulants during July 2015-September 2018 were included. The outcome of interest was stroke/systemic embolism. To estimate PS, we used a logistic regression model (i.e., a conventional approach) and a generalized boosted model (GBM) which is a machine learning approach. Both PS matching and inverse probability of treatment weighting were performed. To evaluate balance achievement, standardized differences, p-values, and boxplots were used. To explore residual confounding, E-values and negative control outcomes were used. In total, 129,434 patients were identified. Although all baseline covariates were well balanced, the distribution of continuous variables seemed more similar when GBM was applied. E-values ranged between 1.75 and 2.70 and were generally higher in GBM. In the negative control outcome analysis, slightly more nonsignificant hazard ratios were observed in GBM. We showed GBM provided a better ability to balance covariates and had a lower impact of residual confounding, compared with the conventional approach in the empirical example of comparative effectiveness analysis.

Endoscopic finding of leiomyosarcoma in a neurofibromatosis patient.

A man with a history of neurofibromatosis presented to our hospital with a soft palate mass. Since the patient had neurofibromatosis, we diagnosed the mass as a neurofibroma and planned annual regular follow-up without any treatment. Five months later, the patient visited our emergency department because of uncontrolled epistaxis, and the mass was enlarged to the extent of the airway obstruction. Endoscopic resection was performed and the tumor was confirmed to be a leiomyosarcoma. The malignant potential of the new lesion in a neurofibromatosis patient should be actively evaluated and treated, if required.

The disease burden of migraine patients receiving prophylactic treatments in Korea: a population-based claims database analysis.

BACKGROUND: Despite guideline recommendations, the limited benefits and failure of prophylactic treatment in patients with migraine have been reported. This study aimed to estimate the incremental burden (i.e., healthcare resource use and cost) of disease in patients who received at least one prophylactic treatment compared to those who did not. METHODS: This study analyzed the Health Insurance Review and Assessment Service database, which covers the entire population of Korea from December 2014 to November 2019. We included adult patients with migraine (≥18 years) who had ≥1 claim with migraine diagnosis (G43) or received ≥1 prescription of triptan or ergotamine between December 2015 and November 2018. We defined two groups: (1) migraine patients who received at least one prophylactic treatment (prophylaxis group) and (2) migraine patients who never received prophylactic treatments (non-prophylaxis group). We performed propensity score matching to balance the baseline covariates between the two groups. In a matched cohort, we estimated healthcare resource use and costs in terms of outpatient visits, outpatient visits to neurologists, emergency department (ED) visits, and hospitalizations. RESULTS: After matching, 633,709 and 633,709 patients were identified in the prophylaxis and non-prophylaxis groups, respectively. The healthcare resource utilization was significantly higher in the prophylaxis group than in the non-prophylaxis group in terms of the number of outpatient visits (2.34 vs 1.70), outpatient visits to neurologists (2.23 vs 1.61), ED visits (1.07 vs 1.05), and hospitalizations (1.12 vs 1.09) (all P <  0.05). The estimated annual costs per patient were significantly higher in the prophylaxis group than in the non-prophylaxis group for outpatient (102.37 USD vs. 62.46 USD), neurology outpatient (141.80 USD vs. 120.30 USD), and ED visits (550.51 USD vs. 234.14 USD) and hospitalization (817.01 USD vs. 645.97 USD) (all P <  0.001). CONCLUSIONS: Migraine patients who received ≥1 prophylactic treatment had a higher burden of disease than migraine patients who received no prophylaxis. This indicates that despite migraine prophylaxis, the migraine-related disease burden remains high, and more efficient migraine prophylaxis strategies are needed.

Drug Utilization Pattern of Oral Anticoagulants in Patients with Atrial Fibrillation: A Nationwide Population-Based Study in Korea.

INTRODUCTION: Treatment persistence for anticoagulant therapy is important in preventing thromboembolism in nonvalvular atrial fibrillation (NVAF) patients. Understanding drug utilization pattern and treatment changes in oral anticoagulant (OAC) users may facilite better NVAF management. Thus, our study aimed to examine OAC treatment patterns preceding events leading to switch or discontinuation and medication adherence in Korean NVAF patients. METHODS: We conducted a drug utilization study on all Korean patients with atrial fibrillation (AF) newly prescribed OACs between July 2015 and November 2016 using the national claims data. We assessed treatment changes such as switching and discontinuation from index OAC and relevant events preceding the change and examined patient characteristics as predictors of changes that occurred among OAC users. Medication adherence was compared among OAC users by calculating the medication possession ratio (MPR). RESULTS: A total of 48,389 NVAF patients were identified who initiated OACs within the study period. Most initiated nonvitamin K antagonist oral anticoagulants (NOACs) (22% apixaban, 24% dabigatran, 37% rivaroxaban), and 18% initiated warfarin. The frequency of switch to another OAC was 8.8% for apixaban, 16.1% for dabigatran, 6.6% for rivaroxaban, and 19.1% for warfarin. The frequency of discontinuation was lower for apixaban (22.9%), dabigatran (26.3%), and rivaroxaban (25.7%) than warfarin (31.6%). Compared to warfarin, NOAC users were less likely to switch treatment. Thromboembolic event was the most common clinical event preceding switch from warfarin to NOAC and from NOAC to warfarin. Discontinuation of OAC was often preceded by a bleeding event. Patients who initiated apixaban showed significantly higher mean MPR compared to those on dabigatran and warfarin. CONCLUSION: In real-world practice in Korea, we have observed treatment change to be common in OAC users. Our results indicate better medication adherence with NOACs than with warfarin. (ClinicalTrials.gov registration number NCT03572972).

Anticoagulants are drugs that thin blood with the purpose of preventing thromboembolic disease (e.g., stroke), which is a disease occurring when a blood clot forms or blocks vessel. Maintaining treatment for anticoagulation is important to prevent stroke in atrial fibrillation (AF) patients. To understand current drug usage pattern and treatment changes related to oral anticoagulants (OAC) we examined OAC treatment patterns and preceding events that led to drug switch or stop and medication maintenance by Korean AF patients.The study was conducted by utilizing the Korean national claims data from July 2015 to November 2016. All AF patients who newly started taking OAC were included in the analysis. In total, 48,389 patients were identified with most (83%) taking nonvitamin K antagonist oral anticoagulants (NOAC), which are newer generation blood thinners, including apixaban, dabigatran, and rivaroxaban, and 18% taking warfarin, the conventional blood thinner. Compared to warfarin, NOAC users were less likely to switch to other treatment. NOAC users discontinued the treatment less frequently than warfarin users. Thromboembolic events commonly preceded switch between OACs. Patients who stopped taking OACs were often confronted with a bleeding event before stopping treatment. Apixaban takers showed higher treatment persistence compared to dabigatran or warfarin users. In this study, we determined that treatment change is common in OAC-using patients. The results suggest that NOAC users may better adhere to treatment than warfarin users.

Expenditure on complementary and alternative medicine and productivity losses in patients with primary dysmenorrhea: A survey of women in Korea.

In women with primary dysmenorrhea (PD), the use of complementary and alternative medicine (CAM) and productivity losses at both workplaces and schools have not been comprehensively assessed. In this study, researchers evaluated the disease burden in women with PD in patients' perspective in two categories: direct cost (the use of CAM and associated costs) and indirect cost (productivity losses). Women with PD aged 16-49 years were asked to fill an online survey in 2017. The survey consisted of 49 questions. CAM included traditional Korean medicines, over-the-counter products, dietary supplements, and traditional remedies. All costs were expressed in US dollars in this study. The survey data from 86 patients with PD were analyzed. The total mean annual cost per patient with PD was $4053, comprising direct costs ($1245) and indirect costs ($2807). PD causes considerable expenditure on CAM and impairs work productivity (especially in presenteeism).

Effectiveness and safety of non-vitamin K antagonist oral anticoagulants in patients with non-valvular atrial fibrillation: A nationwide, population-based study in Korea.

BACKGROUND: To compare the risk of stroke/systemic embolism (S/SE) and major bleeding (MB) between non-vitamin K antagonist oral anticoagulants (NOACs) in patients with atrial fibrillation (AF), this retrospective study was conducted using the Korean Health Insurance Review & Assessment Service (HIRA) claims database. METHODS: Patients with AF who initiated NOACs (apixaban, dabigatran, and rivaroxaban) from July 1, 2015 to November 30, 2016 were included. We applied inverse probability of treatment weighting (IPTW) method using propensity score to make weighted populations having similar characteristics between groups. Hazard ratio (HR) of S/SE and MB were estimated by Cox proportional hazard model. RESULTS: Of the 39 783 patients with AF, 10 564; 11 418; and 17 801 used apixaban, dabigatran, and rivaroxaban, respectively. The mean CHA2DS2-VASc and HAS-BLED scores were 4.59 ~ 4.69 and 3.58 ~ 3.62, respectively, among all patients after applying IPTW. For S/SE, there were no significant differences between NOACs (HR [95% confidence interval (CI)]): apixaban vs dabigatran (0.99 [0.87-1.13]), apixaban vs rivaroxaban (0.95 [0.84-1.07]), and dabigatran vs rivaroxaban (0.96 [0.85-1.08]). For MB (HR [95% CI]), both apixaban (0.77 [0.68-0.86]) and dabigatran (0.88 [0.79-0.98]) had a significantly lower risk compared with rivaroxaban. Apixaban also had a significantly lower risk of MB compared with dabigatran (0.87 [0.76-0.99]). CONCLUSIONS: In real-world practice among Korean AF patients with relatively high risk of stroke and bleeding, there were no significant differences in the risk of S/SE between all NOAC comparisons. Apixaban was associated with lower risk of MB than dabigatran and rivaroxaban.