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Background@#Korea’s aging population has raised several challenges, especially concerning healthcare costs. Consequently, this study evaluated the association of frailty transitions with healthcare utilization and costs for older adults aged 70 to 84. @*Methods@#This study linked the frailty status data of the Korean Frailty and Aging Cohort Study to the National Health Insurance Database. We included 2,291 participants who had frailty measured by Fried Frailty phenotype at baseline in 2016–2017 and follow-up in 2018– 2019. We conducted a multivariate regression analysis to determine the association between their healthcare utilization and costs by frailty transition groups. @*Results@#After 2 years, changes from “pre-frail” to “frail” (Group 6) and “frail” to “pre-frail” (Group 8) were significantly associated with increased inpatient days (P < 0.001), inpatient frequency (P < 0.001), inpatient cost (P < 0.001 and P < 0.01, respectively), and total healthcare cost (P < 0.001) than “robust” to “robust” (Group 1) older adults. A transition to frailty from “pre-frail” to “frail” (Group 6) resulted in a $2,339 total healthcare cost increase, and from “frail” to “pre-frail” (Group 8), a $1,605, compared to “robust” to “robust” older adults. @*Conclusion@#Frailty among community-dwelling older adults is economically relevant.Therefore, it is crucial to study the burden of medical expenses and countermeasures for older adults to not only provide appropriate medical services but also to prevent the decline in their living standards due to medical expenses.
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Background@#Coronavirus disease 2019 (COVID-19) has spread around the globe, and it is important to determine the risk factors of death in the general population. Our study aimed to determine the risk factors of death and severe illness requiring supplemental oxygen therapy based on the demographic and clinical characteristics of COVID-19 patients in Korea. @*Methods@#In this study, we used data provided by the Korea Disease Control and Prevention Agency (KDCA) and analyzed a total of 5,068 patients with COVID-19, excluding 19 pregnant women and 544 individuals with missing data. We performed logistic regression analysis to determine the impact of early symptoms on survival and severe disease. Logistic regression models included sex, age, number of comorbidities, symptoms on admission, blood pressure, heart rate, and body temperature as explanatory variables, and death and oxygen therapy as outcome variables. @*Results@#Logistic regression analyses revealed that the male sex, older age (≥ 60 years), higher number of comorbidities, presence of symptoms on admission, heart rate ≥ 120 bpm, and body temperature ≥ 37.5°C presented with higher risk of in-hospital death and oxygen therapy requirement. Conversely, rhinorrhea and headache were associated with a low risk of death and oxygen therapy requirement. The findings showed that cough, sputum, and fever were the most common symptoms on admission, while 25.3% of patients with COVID-19 were asymptomatic. @*Conclusion@#COVID-19 patients with high-risk early symptoms on admission, such as dyspnea and altered mental status, and those without low-risk symptoms of rhinorrhea and headache should be included in priority treatment groups.
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Background@#Coronavirus disease 2019 (COVID-19) has spread around the globe, and it is important to determine the risk factors of death in the general population. Our study aimed to determine the risk factors of death and severe illness requiring supplemental oxygen therapy based on the demographic and clinical characteristics of COVID-19 patients in Korea. @*Methods@#In this study, we used data provided by the Korea Disease Control and Prevention Agency (KDCA) and analyzed a total of 5,068 patients with COVID-19, excluding 19 pregnant women and 544 individuals with missing data. We performed logistic regression analysis to determine the impact of early symptoms on survival and severe disease. Logistic regression models included sex, age, number of comorbidities, symptoms on admission, blood pressure, heart rate, and body temperature as explanatory variables, and death and oxygen therapy as outcome variables. @*Results@#Logistic regression analyses revealed that the male sex, older age (≥ 60 years), higher number of comorbidities, presence of symptoms on admission, heart rate ≥ 120 bpm, and body temperature ≥ 37.5°C presented with higher risk of in-hospital death and oxygen therapy requirement. Conversely, rhinorrhea and headache were associated with a low risk of death and oxygen therapy requirement. The findings showed that cough, sputum, and fever were the most common symptoms on admission, while 25.3% of patients with COVID-19 were asymptomatic. @*Conclusion@#COVID-19 patients with high-risk early symptoms on admission, such as dyspnea and altered mental status, and those without low-risk symptoms of rhinorrhea and headache should be included in priority treatment groups.
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Background@#The coronavirus disease 2019 (COVID-19) pandemic is a major public health problem of international concern. It is important to estimate its impact of COVID-19 for health policy decision-making. We estimated the years of life lost (YLLs) due to COVID-19 in high-incidence countries. @*Methods@#We collected the YLLs due to COVID-19 in 30 high-incidence countries as of April 13, 2020 and followed up as of July 14, 2020. Incidence and mortality were collected using each country's formal reports, articles, and other electronic sources. The life expectancy of Japanese females by age and the UN population data were used to calculate YLLs in total and per 100,000. @*Results@#As of April 22, 2020, there were 1,699,574 YLLs due to COVID-19 in 30 high-incidence countries. On July 14, 2020, this increased to 4,072,325. Both on April 22 and July 14, the total YLLs due to COVID-19 was highest in the USA (April 22, 534,481 YLLs; July 14, 1,199,510 YLLs), and the YLLs per 100,000 population was highest in Belgium (April 22, 868.12 YLLs/100,000;July 14, 1,593.72 YLLs/100,000). YLLs due to COVID-19 were higher among males than among females and higher in those aged ≥ 60 years than in younger individuals. Belgium had the highest proportion of YLLs attributable to COVID-19 as a proportion of the total YLLs and the highest disability-adjusted life years per 100,000 population. @*Conclusion@#This study estimated YLLs due to COVID-19 in 30 countries. COVID-19 is a high burden in the USA and Belgium, among males and the elderly. The YLLs are very closely related with the incidence as well as the mortality. This highlights the importance of the early detection of incident case that minimizes severe acute respiratory syndrome coronavirus-2 fatality.
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Background@#Transportation costs can be a barrier to healthcare services, especially for low-income, disabled, elderly, and geographically isolated populations. This study aimed to estimate the transportation costs of healthcare service utilization and related influencing factors in Korea in 2016. @*Methods@#Transportation costs were calculated using data from the 2016 Korea Health Panel Study. A total of 14,845 participants were included (males, 45.07%; females, 54.93%), among which 2,148 participants used inpatient and 14,787 used outpatient care services.Transportation costs were estimated by healthcare types, transportation modes, and all disease and injury groups that caused healthcare service utilization. The influencing factors of higher transportation costs were analyzed using multivariable regression analysis. @*Results@#In 2016, the average transportation costs were United States dollars (USD) 43.70 (purchasing power parity [PPP], USD 32.35) per year and USD 27.67 (PPP, USD 20.48) per visit for inpatient care; for outpatient case, costs were USD 41.43 (PPP, USD 30.67) per year and USD 2.09 (PPP, USD 1.55) per visit. Among disease and injury groups, those with neoplasms incurred the highest transportation costs of USD 9.73 (PPP, USD 7.20). Both inpatient and outpatient annual transportation costs were higher among severely disabled individuals (inpatient, +USD 44.71; outpatient, +USD 23.73) and rural residents (inpatient, +USD 20.40; outpatient, +USD 28.66). Transportation costs per healthcare visit were influenced by healthcare coverage and residential area. Sex, age, and income were influencing factors of higher transportation costs for outpatient care. @*Conclusion@#Transportation cost burden was especially high among those with major noncommunicable diseases (e.g., cancer) or living in rural areas, as well as elderly, severely disabled, and low-income populations. Thus, there is a need to address the socioeconomic disparities related to healthcare transportation costs in Korea by implementing targeted interventions in populations with restricted access to healthcare.
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OBJECTIVES: The authors recently found a suggestive evidence of linkage of chromosome 8p21-12 to schizophrenia in Korean multiplex families. Neuregulin 1 (NRG1) was identified in this locus as a positional and functional candidate gene for schizophrenia, through several independent studies with European and Chinese populations. The purpose of this study is to determine whether NRG1 is associated with schizophrenia in Korean population. METHODS: Three SNPs (SNP8NRG221533, SNP8NRG241930, SNP8NRG243177) and two microsatellites markers (478B14-848, 420M9-1395) located at the 5' end of NRG1 were genotyped for 242 unrelated schizophrenia patients and the same number of normal controls. Genetic association was tested by chi2-test (df=1). Not only for the whole patients group but also for a subgroup of patients with auditory hallucination. This subtype showed stronger linkage with chromosome 8p12 in the prior study of the authors with multiplex families. RESULTS: G allele of SNP8NRG241930 was significantly in excess in the subgroup of patients with auditory hallucination compared to the control group (p=0.03, OR=1.76). We also found that 3 SNPs haplotype TTC (p=0.04, OR=0.58) and five markers haplotype TTC53 (p=0.01, OR=0.49) were associated with schziophrenia with a protective effect. Three SNPs haplotype CGT which is a part of the at-risk haplotype of the Icelandic schizophrenia families was found in excess in the patients group but no significant association was observed. CONCLUSION: NRG1 might either play a role in the predisposition to schizophrenia or be in linkage disequilibrium with a causal locus of this illness.