• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.35 no.1
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• pp.39-43
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• 2024

This article describes common comorbid condtion of the autism spectrum disorder (ASD) and recommends treatment guidelines of pharmacotherapy for patients with ASD. More than 95% of people with ASD have at least one additional disorder and guidelines how to evaluate and treat comorbid conditions in patients with ASD and 7 recommendations for treatment with medication for ASD.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.1
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• pp.97-101
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• 2012

Objective: With the background of aging population in China and advances in clinical medicine, the amount of operations on old patients increases correspondingly, which imposes increasing challenges to critical care medicine and geriatrics. The study was designed to describe information on the length of ICU stay from a single institution experience of old critically ill gastric cancer patients after surgery and the framework of incorporating data-mining techniques into the prediction. Methods: A retrospective design was adopted to collect the consecutive data about patients aged 60 or over with a gastric cancer diagnosis after surgery in an adult intensive care unit in a medical university hospital in Shenyang, China, from January 2010 to March 2011. Characteristics of patients and the length their ICU stay were gathered for analysis by univariate and multivariate Cox regression to examine the relationship with potential candidate factors. A regression tree was constructed to predict the length of ICU stay and explore the important indicators. Results: Multivariate Cox analysis found that shock and nutrition support need were statistically significant risk factors for prolonged length of ICU stay. Altogether, eight variables entered the regression model, including age, APACHE II score, SOFA score, shock, respiratory system dysfunction, circulation system dysfunction, diabetes and nutrition support need. The regression tree indicated comorbidity of two or more kinds of shock as the most important factor for prolonged length of ICU stay in the studied sample. Conclusions: Comorbidity of two or more kinds of shock is the most important factor of length of ICU stay in the studied sample. Since there are differences of ICU patient characteristics between wards and hospitals, consideration of the data-mining technique should be given by the intensivists as a length of ICU stay prediction tool.

• Health Policy and Management
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• v.25 no.1
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• pp.3-10
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• 2015

Background: Previous studies showed differences in healthcare utilization among insurance types. This study aimed to analyze the difference in healthcare utilization for percutaneous transluminal coronary angioplasty inpatients by insurance types after controlling factors affecting healthcare utilization using propensity score matching (PSM). Methods: The 2011 national inpatient sample based on health insurance claims data was used for analysis. PSM was used to control factors influencing healthcare utilization except insurance types. Length of stay and total charges were used as healthcare utilization variables. Patients were divided into National Health Insurance (NHI) and Medical Aid (MA) patients. Factors representing inpatients (gender, age, admission sources, and Elixhauser comorbidity index) and hospitals (number of doctors, number of beds, and location of hospitals) were used as covariates in PSM. Results: Tertiary hospitals didn't show significant difference in length of stay and total charges after PSM between two insurance types. However, MA patients showed significantly longer length of stay than that of NHI patients after PSM in general hospitals. Multivariate regression analysis provided that admission sources, Elixhauser comorbidity index, insurance types, number of doctors, and location of hospitals (province) had significant influences on the length of stay in general hospitals. Conclusion: Study results provided evidences that healthcare utilization was differed by insurance types in general hospitals. Health policy makers will need to prepare interventions to influence the healthcare utilization differences between insurance types.

• Korean Journal of Child Studies
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• v.34 no.1
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• pp.71-86
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• 2013

The purpose of this study was (1) to examine the level of learning disabilities reflected in the written expression and writing performance of at-risk children with ADHD, (2) to investigate the level of differences in writing learning disabilities and writing performance depending on ADHD subtypes, and (3) to explore the error types and contents in the written expression of at-risk children with ADHD. The participants in this study were 46 upper grade elementary school children. They were firstly screened by teacher nomination, and only participants with a K-ARS score of over 17 were then selected to be among the 46 children involved in this study. Two further tests were then carried out : K-LDES as an index of learning disabilities in written expression and BASA-writing as an index of writing performance. The results showed that the at-risk children with ADHD possibly had comorbid writing learning disabilities. They were significantly different in terms of the number of total syllables, errors and correct syllables that they produced, in comparison to normal children. But there were no differences as regards the level of learning disabilities in terms of written expression and writing performance based on ADHD subtypes. As regards the implications of these results for future research, we suggested that there is a need for the identification of comorbid writing learning disabilities in ADHD assessment.

• Korean Journal of Biological Psychiatry
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• v.12 no.1
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• pp.13-19
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• 2005

Objective:The purposes of this study were to investigate heart rate variability(HRV) in patients with generalized anxiety disorder(GAD) compared with major depressive disorder in Korea. Methods:Fifty-six GAD patients(20 male and 36 female) was classified into their comorbid psychiatric illness. Among them, Twenty-five patients(10 male and 15 female) who do not have any psychiatric comorbidity were compared with 30 major depressive disorder patients(12 male and 18 female). Clinical symptoms, HRV and MMPI were analysed between two group. Results:Comorbid psychiatric illnesses of GAD were ranked into no diagnosis(44.6%), MDD(32.1%), panic disorder(10.7%), social phobia(5.3%), PTSD(1.7%), OCD(1.7%), MDD+panic disorder(1.7%) and MDD+specific phobia(1.7%). GAD patients showed low functioning in HRV, but degree of decreasing HRV is not so severe compared with MDD patient. Balance of sympathetic and parasympathetic nerve tone is more severely impaired in GAD patients compared with MDD patient. The score of MMPI did not reveal any differences between two groups. Conclusions:The result showed that HRV can differenciate GAD and MDD patients. GAD patients could show decreased HRV functioning, less than MDD patients. But autonomic imbalance could be more severe in GAD than MDD patients.

• Health Policy and Management
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• v.23 no.1
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• pp.44-51
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• 2013

Background: This study designed to evaluate the homogeneity of Korean diagnosis related group (KDRG) version 3.4 classification system. Methods: The total 5,921,873 claims data submitted to the Health Insurance Review and Assessment Service during 2010 were used. Both coefficient of variation (CV) and reduction in variance of cost were measured for evaluation. This analysis was divided into before and after trimming outliers at the level of adjacent DRG (ADRG), aged ADRG (AADRG) split by age, and DRG split by complication and comorbidity. Results: At the each three level of ADRG, AADRG, and DRG, there were 38.9%, 38.7%, and 30.0% of which had a CV > 100% in the untrimmed data and there were 1.4%, 1.4%, and 1.9% in the trimmed one. Before trimming outliers, ADRGs explained 52.5% of the variability in resource use, AADRGs did 53.1% and DRGs did 57.1%. The additional explanatory power by age and comorbidity and complication (CC) split were 0.6%p and 4.6%p for each, which were statistically significant. After trimming outliers, ADRGs explained 75.2% of the variability in resource use, AADRGs did 75.6%, and DRGs did 77.1%. The additional explanatory power were 0.4%p and 2.0%p for each, which were statistically significant too. Conclusion: The results demonstrated that KDRG showed high homogeneity within groups and performance after trimming outliers. But there were DRGs CV > 100% after age or CC split and the most contributing factor to high performance of KDRG was the ADRG rather than age or CC split. Therefore, it is recommended that the efforts for improving clinical homogeneity of KDRG such as review of the hierarchical structure of classification systems and classification variables.

• Anxiety and mood
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• v.7 no.2
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• pp.119-125
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• 2011

Objectives : The three symptom clusters of posttraumatic stress disorder (PTSD) are reexperience, avoidance, and hyperarousal. Alcohol use disorders frequently co-occur with PTSD, and possible functional correlations are suspected. Scholarly evaluation of the differences between the symptoms of PTSD and those of alcohol problems may be useful in understanding the pathophysiology of the comorbidity. Methods : We recruited Vietnam veterans with PTSD (n=97) and without PTSD (n=132). The alcohol use disorder identification test (AUDIT), and clinician-administered PTSD scale (CAPS) were administered to participants. The PTSD group was divided into two categories: those with PTSD only (n=57) and those with concurrent alcohol-related problems (n=40). Results : The PTSD group showed higher AUDIT scores compared to the control group. In the PTSD group, participants with alcohol problems had a severer symptoms of recurrent dream and sleep disturbance symptoms compared to the PTSD only group. No significant differences were found in the three major symptom clusters of PTSD. Conclusion : These findings support the proposed existence of a functional correlation between PTSD and alcohol use disorder. Clinicians should carefully evaluate and treat comorbid alcohol use disorder in patients with PTSD.

• Journal of the Korean Data and Information Science Society
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• v.22 no.3
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• pp.389-400
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• 2011

This study was carried out to analysis factors related to in-hospital mortality of community-acquired peumonia using administrative database. The subjects were 5,353 community-acquired pneumonia inpatients of the Korean National Hospital Discharge Injury Survey 2004-2006 data. The data were analyzed using chi-squared test and decision tree model in the data mining technique. Among the decision tree model, C4.5 had the best performance. The critical factors on in-hospital mortality of communityacquired pneumonia are admission route, respiratory failure, congenital heart failure including age, comorbidity, and bed size. This study was carried out using the administrative database including patients' characteristics and comorbidity. However further study should be extensively including hospital characteristics, regional medical resources, and patient management practice behavior.

• Journal of Preventive Medicine and Public Health
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• v.51 no.5
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• pp.227-233
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• 2018

Objectives: Chronic diseases, including back pain, result in significant patient morbidity and societal burden. Overall improvement in physical fitness is recommended for prevention and treatment. Walking is a convenient modality for achieving initial gains. Our objective was to determine whether neighbourhood walkability, acting as a surrogate measure of physical fitness, was associated with the presence of chronic disease. Methods: We conducted a cross-sectional study of prospectively collected data from a prior randomized cohort study of 227 patients referred for tertiary assessment of chronic back pain in Ottawa, ON, Canada. The Charlson Comorbidity Index (CCI) was calculated from patient-completed questionnaires and medical record review. Using patients' postal codes, neighbourhood walkability was determined using the Walk Score, which awards points based on the distance to the closest amenities, yielding a score from 0 to 100 (0-50: car-dependent; 50-100: walkable). Results: Based on the Walk Score, 134 patients lived in car-dependent neighborhoods and 93 lived in walkable neighborhoods. A multivariate logistic regression model, adjusted for age, gender, rural postal code, body mass index, smoking, median household income, percent employment, pain, and disability, demonstrated an adjusted odds ratio of 2.75 (95% confidence interval, 1.16 to 6.53) times higher prevalence for having a chronic disease for patients living in a car-dependent neighborhood. There was also a significant dose-related association (p=0.01; Mantel-Haenszel chi-square=6.4) between living in car-dependent neighbourhoods and more severe CCI scores. Conclusions: Our findings suggest that advocating for improved neighbourhood planning to permit greater walkability may help offset the burden of chronic disease.

• Korean Journal of Clinical Pharmacy
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• v.26 no.2
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• pp.107-114
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• 2016

Background: Depression is the leading cause of lowering the quality of life of cancer patients and lung cancer is the most likely to cause depression. It is necessary to find out depression-related factors in lung cancer patients. Methods: The study was a retrospective cohort study using medical records, and was a non-equivalent comparison group design. It involved patients diagnosed of lung cancer at the Konkuk University Medical Center from January to December 2012. Between antidepressants prescription group and non prescription group, socio-demographic factors, clinical factors, treatment-related factors and other factors were analyzed statistically. Results: Antidepressant prescription group consisted of 23 people and non-prescription group of 206 people. Prescription rate of quetiapine was the highest 47.8% (11/23), followed by escitalopram (43.5%, 10/23), amitryptyline and trazodone (30.4%, 7/23). The prescription group was prescribed with an average of 1.9 antidepressants. Antidepressants were prescribed after average of 248 days from lung cancer diagnosis and prescription period per patient was average 177.5 days. According to the result of univariate logistic regression analysis between 2 groups, factors such as number of outpatient visit, number of admission, days of hospitalization, sleep disorder, and comorbidity were found to be statistically significant (p < 0.05). However, According multivariate logistic regression analysis showed that number of admission, days of hospitalization and sleep disorder were statistically significant (p < 0.05) excluding comorbidity. Conclusion: About 10% of lung cancer patients had received a prescription for antidepressants after lung cancer diagnosis. A sleep disorder, number of hospitalization and length of stay were identified as factors influencing the prescribing antidepressants.