Comparison of Attention-Deficit/Hyperactivity Disorder Practice in Adults According to a Training Background in Child Psychiatry

Minha Hong,Seung-Yup Lee,Young Sik Lee,Bongseog Kim,Yoo Sook Joung,Hanik K Yoo,Eui-Jung Kim,Soyoung Irene Lee,Su-Bin Park,Soo-Young Bhang,Doughyun Han,Geon Ho Bahn 대한소아청소년정신의학회 2019 소아청소년정신의학 Vol.30 No.3

Objectives: Awareness of attention-deficit/hyperactivity disorder (ADHD) in adults has significantly increased; however, clinical data specific to the Korean population are insufficient. Clinical experience of ADHD may differ based on whether psychiatrists have received pediatric psychiatry-specific training. In order to prepare a practice parameter for adult ADHD patients in Korea, we examined questionnaire data to observe how pediatric psychiatry training could affect clinical practice for adults with ADHD. Methods: A questionnaire about the diagnosis and treatment process was distributed to both general psychiatrists (GPsy) and child and adolescent psychiatrists (CAP) at the summer and winter workshop meetings of Korean Academy of Child and Adolescent Psychiatry. Results: In total, 142 psychiatrists participated in the survey (86 GPsy, 56 CAP). GPsy and CAP preferred pharmacotherapy (GPsy 82.40%, CAP 64.30%) as the primary treatment option and answered that the clinical psychiatric interview is the most necessary step in diagnostic assessment (GPsy 22.16%, CAP 19.00%). The GPsy responded with an optimal and average treatment duration that was shorter than that reported by CAP. Conclusion: Identification of the initial presenting symptom as the correct diagnosis and the optimal duration of pharmacotherapy differed between GPsy and CAP in practice, whereas concepts in diagnosis and treatment of ADHD in adults were similar for both groups. These results suggest the urgent need for the Continuing Medical Education program for psychiatrists treating adults with ADHD.

Does AMSR2 produce better soil moisture retrievals than AMSR-E over Australia?

Cho, Eunsang,Su, Chun-Hsu,Ryu, Dongryeol,Kim, Hyunglok,Choi, Minha Elsevier 2017 Remote sensing of environment Vol.188 No.-

<P><B>Abstract</B></P> <P>The Advanced Microwave Scanning Radiometer 2 (AMSR2), a follow-up microwave sensor to the AMSR for Earth Observing System (AMSR-E), was launched on the Global Change Observation Mission 1 – Water (GCOM-W1) satellite in May 2012. It is as yet unclear if instrumental improvements in AMSR2 over AMSR-E have led to better soil moisture (SM) estimates, especially since there is no overlapping period of data between the sensors. This study focuses on comparing the results of AMSR2 and AMSR-E SM over Australia, distinguishing four Köppen climate zones to determine if AMSR2 is better than AMSR-E. This is achieved by selecting two year-long comparative time periods from the operating periods of AMSR-E and AMSR2, based on their statistical similarities in modeled SM as a proxy, using Modern Era Retrospective-analysis for Research and Applications-Land (MERRA-L). The AMSR2 and AMSR-E C- and X-band SM derived from the Land Parameter Retrieval Model (LPRM) was evaluated. Both AMSR2 C- and X-band SM products were found to show similar temporal patterns and spatial agreement with AMSR-E C- and X-band SM, supported by unbiased root mean square difference (ubRMSD) and R-values with MERRA-L SM, respectively. Using lag-based instrumental variable analysis to estimate the random error component of SM retrievals, the noise-to-signal ratios in AMSR2 X-band SM were found to be slightly higher than their AMSR-E counterparts. The improvements in AMSR2, such as the superior radiometric sensitivity and spatial resolution, have therefore not led to statistically significant differences in performance for LPRM retrievals at 1/2°×1/2° grid resolution, when compared with AMSR-E. However, similarities in the metrics for AMSR2 and AMSR-E SM suggest that AMSR2 provides a valuable continuation to AMSR-E.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Revised the manuscript to reflect several specific comments carefully </LI> <LI> Clearly improved in textual and structural things </LI> <LI> Proofread thoroughly by a native English colleague </LI> </UL> </P>

Controlling an Outbreak of Multidrug-resistant Acinetobacter baumannii in a Pediatric Intensive Care Unit: a Retrospective Analysis

Byun Joung-Hee,Park Su Eun,Seo Minhae,Jang Jeungmi,Hwang Mi Sun,Song Ju Yeoun,Chang Chulhun L.,Kim Young A 대한의학회 2021 Journal of Korean medical science Vol.36 No.46

Background: Multidrug-resistant Acinetobacter baumannii (MDRAB) is widespread among intensive care units worldwide, posing a threat to patients and the health system. We describe the successful management of a MDRAB outbreak by implementing an infection-control strategy in a pediatric intensive care unit (PICU). Methods: This retrospective study investigated the patients admitted to the PICU in periods 1 (8 months) and 2 (7 months), from the index MDRAB case to intervention implementation, and from intervention implementation to cessation of MDRAB spread. An infection-control strategy was designed following six concepts: 1) cohort isolation of colonized patients, 2) enforcement of hand hygiene, 3) universal contact precautions, 4) environmental management, 5) periodic surveillance culture study, and 6) monitoring and feedback. Results: Of the 427 patients, 29 were confirmed to have MDRAB colonization, of which 18 had MDRAB infections. Overall incidence per 1,000 patient days decreased from 7.8 (period 1) to 5.8 (period 2). The MDRAB outbreak was declared terminated after the 6-month followup following period 2. MDRAB was detected on the computer keyboard and in condensed water inside the ventilator circuits. The rate of hand hygiene performance was the lowest in the three months before and after index case admission and increased from 84% (period 1) to 95% (period 2). Patients with higher severity, indicated by a higher Pediatric Risk of Mortality III score, were more likely to develop colonization (P = 0.030), because they had invasive devices and required more contact with healthcare workers. MDRAB colonization contributed to an increase in the duration of mechanical ventilation and PICU stay (P < 0.001), but did not affect mortality (P = 0.273). Conclusion: The MDRAB outbreak was successfully terminated by the implementation of a comprehensive infection-control strategy focused on the promotion of hand hygiene, universal contact precautions, and environmental management through multidisciplinary teamwork.

Effects of Heterostructure Electrodes on the Reliability of Ferroelectric PZT Thin Films

Seung-HyunKim,Hyun-JungWoo,구창영,양정승,Su-MinHa,박동연,Dong-SuLee,하조웅 한국세라믹학회 2002 한국세라믹학회지 Vol.39 No.4

The effect of the Pt electrode and the Pt-IrO2 hybrid electrode on the performance of ferroelectric device was investigated. The modified Pt thin films with non-columnar structure significantly reduced the oxidation of TiN diffusion barrier layer, which rendered it possible to incorporate the simple stacked structure of Pt/TiN/poly-Si plug. When a Pt-IrO2 hybrid electrode is applied, PZT thin film properties are influenced by the thickness and the partial coverage of the electrode layers. The optimized Pt-IrO2 hybrid electrode significantly enhanced the fatigue properties with minimal leakage current.

The Differences in Sleep Skills between Insomnia Patients with and without Need of Hypnotics

Kong Byunghoon,Ko Mi Ae,Chang Jhin Goo,Hong Minha,김우정,Lee Su Young,Kim Hyun Soo,Song Hoo Rim 대한수면학회 2020 sleep medicine research Vol.11 No.2

Background and ObjectiveaaHypnotics are widely prescribed for the treatment of insomnia; however, cognitive behavioral therapy for insomnia (CBT-I) is considered as a primary treatment. We checked ordinary sleep skills of insomnia patients and changes in sleep skills after CBT-I, and evaluated the difference in sleep skills between patients with and without need of hypnotics. MethodsaaA total of 131 outpatients who had visited our sleep clinic with insomnia were recruited. Enrollment criteria included at least 12 weeks of insomnia periods, less than 16 in Beck Depression Inventory score, and agreement to receive 9 sessions of CBT-I for 12 weeks. After 12 weeks of CBT-I, patients were divided into two groups: still in need and no need of hypnotics. Changes in sleep skills were compared between these groups. ResultsaaSleep hygiene, sleep stimulus-control skills, and sleep Visual Analogue Scales (VAS) were statistically improved after CBT-I (all, p < 0.001). Forty-six (35.1%) patients did not need hypnotics anymore; however, 85 (64.9%) still needed hypnotics after CBT-I. Sleep VAS (25.26 ± 8.52 vs. 32.64 ± 8.95, p < 0.001), practicing regular moderate exercise (3.67 ± 0.92 vs. 2.76 ± 1.06, p = 0.030), and having a relaxing bedtime routine (4.08 ± 0.55 vs. 2.76 ± 0.76, p < 0.001) were different in the two groups. ConclusionsaaAmong CBT-I skills, regular moderate exercise and a relaxing bedtime routine seem to be key components. For reducing chronic use of hypnotics, and better outcome of CBT-I, clinicians should focus more on these two components.

Lethality-Associated Factors in Deliberate Self-Poisoning

In Young Choi,Sun-Young Kim,Jhin Goo Chang,Hoo Rim Song,Woo Jung Kim,Su Young Lee,Hyun-Soo Kim,Minha Hong 대한소아청소년정신의학회 2021 소아청소년정신의학 Vol.32 No.1

Objectives: Deliberate self-poisoning (DSP) is the most common suicide method and can be life-threatening. The purpose of this study was to investigate the factors related to the lethality of DSP and the characteristics of the adolescent group. Methods: A retrospective study was conducted on patients who had visited an academic hospital’s regional emergency medical center between 2015 and 2018. The data reviewed through their medical records included sociodemographic factors, clinical variables, and psychiatric treatment. Four groups (Q1–Q4) were categorized by descriptive analysis using the risk-rescue rating scale. Results: A total of 491 patients were enrolled in this study. This study showed that high lethality had statistically significant associations with male sex, older age, admitting suicidal intentions, and the use of herbicides for suicide. Logistic regression analyses showed a significant association between high-lethality and female [odds ratio (OR)=0.50, 95% confidence interval (CI)=0.30–0.81, p=0.01], non-psychiatric drugs (over-the-counter drug: OR=2.49, 95% CI=1.08–5.74, p=0.03; herbicide: OR=8.65, 95% CI=3.91–19.13, p<0.01), and denial of suicide intent (OR=0.28, 95% CI=0.15–0.55, p<0.01). Conclusion: This study showed the clinical factors associated with the high lethality of DSP and suggested that efforts were needed to care for and thoroughly examine patients with DSP.

소년원생들의 우울증 예측에 기계학습을 적용한 예비연구

손동훈(Dong Hun Son),장진구(Jhin Goo Chang),송후림(Hoo Rim Song),이수영(Su Young Lee),이승훈(Seung Hoon Lee),방수영(Soo-Young Bhang),이미선(Mi-Sun Lee),김현수(Hyun-Soo Kim),홍민하(Minha Hong) 대한사회정신의학회 2021 사회정신의학 Vol.26 No.2

연구목적 : 청소년 범죄에서 정신건강의 문제와 범죄가 관련성이 높다는 것은 잘 알려져 있지만 국내에서는 아동청소년 범죄자들의 정신건강에 관한 연구가 거의 없다. 뿐만 아니라 아동청소년정신건강 영역에서 기계학습을 적용한 연구는 아직 초기단계이다. 본 예비연구에 서는 여자청소년 재소자들에서 정신건강 문제 중 우울증의 예측에 기계학습 알고리즘을 적용하여 적합한 지를 알아보고자 한다. 방 법 : 대상자는 청주소년원에 재소중인 87명의 여자청소년을 대상으로 하였다. 대상자들에게 설문지 패키지 (인구학적 정보, 범죄관련 정보, 자기보고척도 설문지(아동기부정적경험 설문지, 벡우울척도)를 배부하여 정보를 수집하였다. 기계학습 기법을 이용하여 수집된 재소자들의 기본 정보를 바탕으로 우울증을 예측할 수 있는 6개의 모델(Logistic regression, Random forest, Supportive vector machine, Decision tree, Nearest neighbor, Adaboost)을 생성하여 각 모델간의 예측 성능을 비교해 보았다. 결 과 : 대상자를 벡우울척도(절단점 13)로 군을 분류한 결과 정상군 18명(21%)과 우울증군 69명(79%)이었다. 6개 모델의 우울증 예측 정확도는 Logistic regression 81.8%, Random forest 81.8%, Supportive vector machine 68.18%, Decision tree 72.7%, Nearest neighbor 77.3%, Adaboost 63.6%였다. 그중에서 Random forest 모델의 AUC score는 0.75로 다른 모델들과 비교하여 가장 높았다. 결 론 : 본 연구는 재소청소년의 정신건강에 중점을 두어 현황을 파악하고,우울증의 예측에 기계학습 기법을 적용을 하여 높은 정확도를 확인하였다는 점에서 의의가 있다. 또한 취약계층의 정신건강 영역에 기계학습 기법을 적용하여 관리 및 감시에 적용 가능성에 대한 근거를 제공하였다. Objectives : It is well known that mental health problems and crime are highly related to youth crime, but there is little research on the mental health of young offenders in Korea. Furthermore, research on the application of machine learning in the mental health of children and adolescents is still novel. This preliminary study aims to investigate whether it is appropriate to apply machine learning algorithms to predict depression among female adolescent inmates. Methods : The subjects were 87 young females in Cheongju Juvenile Center. A questionnaire was distributed to the subjects to gather their demographic information and crime-related information, as well as their adverse childhood experiences and Beck depression inventory scores using self-reported scale questionnaires. Based on the collected information, six models (logistic regression, random forest, supportive vector machine, decision tree, nearest neighbor, Adaboost) that can predict depression were created to compare the predictive performance between models using machine learning techniques. Results : Results showed that 29 victims (25.7%) met the criteria of PTSD and 19 victims (16.8%) met the rigid criteria of PTSD. But, according to the subscales, 41 victims (36.3%) were diagnosed as PTSD. Victims with PTSD had more serious depression, anxiety, sleep disturbance, anger, social withdrawal and life stresses. Conclusion : This study identified the current mental health status of female inmates with high accuracy by applying machine learn-ing techniques to predict depression. The applicability of machine learning techniques to the management and surveillance of mental health in vulnerable groups was also highlighted.