1.An Analysis of the Determinants of the Health-Related Quality of Life in Asian Patients With Cluster Headaches During Cluster Periods Using the Time Trade-Off Method
Soo-Kyoung KIM ; Min Kyung CHU ; Byung-Kun KIM ; Pil-Wook CHUNG ; Heui-Soo MOON ; Mi Ji LEE ; Yun-Ju CHOI ; Jeong Wook PARK ; Byung-Su KIM ; Tae-Jin SONG ; Kyungmi OH ; Jin-Young AHN ; Jong-Hee SOHN ; Kwang-Soo LEE ; Kwang-Yeol PARK ; Jae Myun CHUNG ; Chin-Sang CHUNG ; Soo-Jin CHO
Journal of Clinical Neurology 2024;20(1):86-93
Background:
and Purpose Patients with cluster headache (CH) exhibit impaired health-related quality of life (HRQoL). However, there have been few studies related to the HRQoL of patients with CH from Asian backgrounds. This study aimed to determine the impact of CH on HRQoL and to identify the factors affecting HRQoL in patients with CH during cluster periods.
Methods:
This prospective study enrolled patients with CH from 17 headache clinics in South Korea between September 2016 and February 2021. The study aimed to determine HRQoL in patients with CH using the EuroQol 5 Dimensions (EQ-5D) index and the time trade-off (TTO) method. Age- and sex-matched headache-free participants were recruited as a control group.
Results:
The study included 423 patients with CH who experienced a cluster period at the time. EQ-5D scores were lower in patients with CH (0.88±0.43, mean±standard deviation) than in the controls (0.99±0.33, p<0.001). The TTO method indicated that 58 (13.6%) patients with CH exhibited moderate-to-severe HRQoL deterioration. The HRQoL states in patients with CH were associated with current smoking patterns, headache severity, frequency, and duration, and scores on the Generalized Anxiety Disorder 7-item scale (GAD-7), Patient Health Questionnaire 9-item scale (PHQ-9), 6-item Headache Impact Test, and 12-item Allodynia Symptom Checklist. Multivariable logistic regression analyses demonstrated that the HRQoL states in patients with CH were negatively correlated with the daily frequency of headaches, cluster period duration, and GAD-7 and PHQ-9 scores.
Conclusions
Patients with CH experienced a worse quality of life during cluster periods compared with the headache-free controls, but the degree of HRQoL deterioration varied among them. The daily frequency of headaches, cluster period duration, anxiety, and depression were factors associated with HRQoL deterioration severity in patients with CH.
2.Genomic Analysis of Monkeypox Virus During the 2023 Epidemic in Korea
Chi-Hwan CHOI ; Minji LEE ; Sang Eun LEE ; Jin-Won KIM ; Hwachul SHIN ; Myung-Min CHOI ; Hwajung YI ; Min-Kyung KIM ; Jaehyun JEON ; Jun-Sun PARK ; Yeonjae KIM ; So Yun LIM ; BumSik CHIN ; Yoon-Seok CHUNG
Journal of Korean Medical Science 2024;39(18):e165-
We aimed to characterize the genomes of monkeypox virus isolates from the Far East, providing insights into viral transmission and evolution. Genomic analysis was conducted on 8 isolates obtained from patients with monkeypox virus disease in the Republic of Korea between May 2022 and early 2023. These isolates were classified into Clade IIb. Distinct lineages, including B.1.1, A.2.1, and B.1.3, were observed in 2022 and 2023 isolates, with only the B.1.3 lineage detected in six isolates of 2023. These genetic features were specific to Far East isolates (the Republic of Korea, Japan, and Taiwan), distinguishing them from the diverse lineages found in the Americas, Europe, Africa, and Oceania. In early 2023, the prevalence of the B.1.3 lineage of monkeypox virus identified in six patients with no overseas travel history is considered as an indicator of the potential initiation of local transmission in the Republic of Korea.
3.Trends in the Prevalence of Obesity and Its Phenotypes Based on the Korea National Health and Nutrition Examination Survey from 2007 to 2017 in Korea
Sang Ouk CHIN ; You-Cheol HWANG ; Hong-Yup AHN ; Ji Eun JUN ; In-Kyung JEONG ; Kyu Jeung AHN ; Ho Yeon CHUNG
Diabetes & Metabolism Journal 2022;46(5):808-812
This study used data from the Korea National Health and Nutrition Examination Survey IV–VII from 2007 to identify the prevalence of obesity and its phenotypes (metabolically unhealthy obesity [MUO] and metabolically healthy obesity [MHO]) and their secular changes. The prevalence of obesity in Korea increased with significant secular changes observed (β=0.326, P trend <0.01) between 2007 and 2017, and especially in men (β=0.682, P trend <0.001) but not in women. The changes in the prevalence of obesity during the study period were different between men and women (P=0.001). The prevalence of MUO significantly increased only in men (β=0.565, P trend <0.01), while that of MHO increased only in women (β=0.179, P<0.05), especially in the younger age group (β=0.308, P<0.01).
4.Neuroimaging Findings in Patients with COVID-19: A Systematic Review and Meta-Analysis
Pyeong Hwa KIM ; Minjae KIM ; Chong Hyun SUH ; Sae Rom CHUNG ; Ji Eun PARK ; Soo Chin KIM ; Young Jun CHOI ; Jeong Hyun LEE ; Ho Sung KIM ; Jung Hwan BAEK ; Choong Gon CHOI ; Sang Joon KIM
Korean Journal of Radiology 2021;22(11):1875-1885
Objective:
Central nervous system involvement in coronavirus disease 2019 (COVID-19) has been increasingly reported. We performed a systematic review and meta-analysis to evaluate the incidence of radiologically demonstrated neurologic complications and detailed neuroimaging findings associated with COVID-19.
Materials and Methods:
A systematic literature search of MEDLINE/PubMed and EMBASE databases was performed up to September 17, 2020, and studies evaluating neuroimaging findings of COVID-19 using brain CT or MRI were included. Several cohort-based outcomes, including the proportion of patients with abnormal neuroimaging findings related to COVID-19 were evaluated. The proportion of patients showing specific neuroimaging findings was also assessed. Subgroup analyses were also conducted focusing on critically ill COVID-19 patients and results from studies that used MRI as the only imaging modality.
Results:
A total of 1394 COVID-19 patients who underwent neuroimaging from 17 studies were included; among them, 3.4% of the patients demonstrated COVID-19-related neuroimaging findings. Olfactory bulb abnormalities were the most commonly observed (23.1%). The predominant cerebral neuroimaging finding was white matter abnormality (17.6%), followed by acute/subacute ischemic infarction (16.0%), and encephalopathy (13.0%). Significantly more critically ill patients had COVID-19-related neuroimaging findings than other patients (9.1% vs. 1.6%; p = 0.029). The type of imaging modality used did not significantly affect the proportion of COVID-19-related neuroimaging findings.
Conclusion
Abnormal neuroimaging findings were occasionally observed in COVID-19 patients. Olfactory bulb abnormalities were the most commonly observed finding. Critically ill patients showed abnormal neuroimaging findings more frequently than the other patient groups. White matter abnormalities, ischemic infarctions, and encephalopathies were the common cerebral neuroimaging findings.
5.Smoking History and Clinical Features of Cluster Headache:Results from the Korean Cluster Headache Registry
Pil-Wook CHUNG ; Byung-Su KIM ; Jeong-Wook PARK ; Jong-Hee SOHN ; Mi Ji LEE ; Byung-Kun KIM ; Min Kyung CHU ; Jin-Young AHN ; Yun-Ju CHOI ; Tae-Jin SONG ; Dae-Woong BAE ; Daeyoung KIM ; Jae-Moon KIM ; Soo-Kyoung KIM ; Kwang-Yeol PARK ; Jae Myun CHUNG ; Heui-Soo MOON ; Kyungmi OH ; Chin-Sang CHUNG ; Soo-Jin CHO
Journal of Clinical Neurology 2021;17(2):229-235
Background:
and Purpose Epidemiologic data suggest that cluster headache (CH) is significantly associated with cigarette smoking. The aim of this study was to determine differences in features between patients with a smoking history and those who are never-smokers, using data from a prospective multicenter registry.
Methods:
Data used in this study were obtained from the Korean Cluster Headache Registry that collected data from consecutive patients diagnosed with CH. We compared clinical and demographic features between ever-smokers (current or former smokers) and never-smokers.
Results:
This study enrolled 250 patients who were diagnosed with CH, of which 152 (60.8%) were ever-smokers and 98 (39.2%) were never-smokers. The age at CH onset was significantly lower in the never-smoker group than in the ever-smoker group [27.1±12.9 years vs. 30.6± 10.9 years (mean±standard deviation), p=0.024]. Seasonal rhythmicity (58.1% vs. 44.7%, p= 0.038) and triptan responsiveness (100% vs. 85.1%, p=0.001) were higher in never-smokers, while other clinical features such as pain severity, duration, attack frequency, and associated autonomic symptoms did not differ significantly between the groups. The male-to-female ratio was markedly higher in ever-smokers (29.4:1) than in never-smokers (1.7:1).
Conclusions
Most of the clinical features did not differ significantly between patients with a smoking history and never-smokers. However, the age at CH onset, sex ratio, and seasonal rhythmicity were significantly associated with smoking history.
6.Smoking History and Clinical Features of Cluster Headache:Results from the Korean Cluster Headache Registry
Pil-Wook CHUNG ; Byung-Su KIM ; Jeong-Wook PARK ; Jong-Hee SOHN ; Mi Ji LEE ; Byung-Kun KIM ; Min Kyung CHU ; Jin-Young AHN ; Yun-Ju CHOI ; Tae-Jin SONG ; Dae-Woong BAE ; Daeyoung KIM ; Jae-Moon KIM ; Soo-Kyoung KIM ; Kwang-Yeol PARK ; Jae Myun CHUNG ; Heui-Soo MOON ; Kyungmi OH ; Chin-Sang CHUNG ; Soo-Jin CHO
Journal of Clinical Neurology 2021;17(2):229-235
Background:
and Purpose Epidemiologic data suggest that cluster headache (CH) is significantly associated with cigarette smoking. The aim of this study was to determine differences in features between patients with a smoking history and those who are never-smokers, using data from a prospective multicenter registry.
Methods:
Data used in this study were obtained from the Korean Cluster Headache Registry that collected data from consecutive patients diagnosed with CH. We compared clinical and demographic features between ever-smokers (current or former smokers) and never-smokers.
Results:
This study enrolled 250 patients who were diagnosed with CH, of which 152 (60.8%) were ever-smokers and 98 (39.2%) were never-smokers. The age at CH onset was significantly lower in the never-smoker group than in the ever-smoker group [27.1±12.9 years vs. 30.6± 10.9 years (mean±standard deviation), p=0.024]. Seasonal rhythmicity (58.1% vs. 44.7%, p= 0.038) and triptan responsiveness (100% vs. 85.1%, p=0.001) were higher in never-smokers, while other clinical features such as pain severity, duration, attack frequency, and associated autonomic symptoms did not differ significantly between the groups. The male-to-female ratio was markedly higher in ever-smokers (29.4:1) than in never-smokers (1.7:1).
Conclusions
Most of the clinical features did not differ significantly between patients with a smoking history and never-smokers. However, the age at CH onset, sex ratio, and seasonal rhythmicity were significantly associated with smoking history.
7.HL301 in the treatment of acute bronchitis: a phase 2b, randomized, double-blind, placebocontrolled, multicenter study
Sang Won YOON ; Myung Jae PARK ; Chin Kook RHEE ; Joo Hun PARK ; Sang Yeub LEE ; Do Jin KIM ; Dong Gyu KIM ; Jae Yeol KIM
The Korean Journal of Internal Medicine 2020;35(1):133-141
There is insufficient quality data to recommend the use of herbs for the treatment of acute bronchitis. Small number of randomized trials of plant extracts for this purpose were determined to be low quality and there are concerns for the safety. HL301 is a combined product of seven medicinal plants. In the present study, we tried to evaluate the efficacy and safety of HL301 for the treatment of acute bronchitis with a randomized, double-blind, placebo-controlled, multicenter trial design. Methods: A total of 166 patients with acute bronchitis were randomized to receive placebo or HL301 (600 mg/day) for 7 days. The primary endpoint was change in bronchitis severity score (BSS) from baseline visit (visit 2) to the end of treatment (visit 3). Other efficacy variables were the change of each component of the BSS (cough, sputum, dyspnea, chest pain, and crackle) with treatment, response rate, improvement rate, satisfaction rate and number of rescue medications taken. Results: Changes in the BSS from visit 2 to visit 3 were higher in the HL301 group than in the placebo group both in the full analysis set (4.57 ± 1.82 vs. 3.15 ± 3.08, p < 0.01) and in the per protocol set (4.62 ± 1.81 vs. 3.30 ± 3.03, p < 0.01). Four BSS components (cough, sputum, dyspnea, and chest pain) improved more with HL301 treatment than with placebo treatment. Participants treated with HL301 showed higher response, improvement, and satisfaction rates and less use of rescue medication than the placebo group. Conclusions: HL301 (600 mg/day) was effective and safe for symptomatic treatment of acute bronchitis.
9.Effect of Sleep Quality on Headache-Related Impact in Primary Headache Disorders
Soohyun CHO ; Mi Ji LEE ; Hea Ree PARK ; Seonwoo KIM ; Eun Yeon JOO ; Chin-Sang CHUNG
Journal of Clinical Neurology 2020;16(2):237-244
Background:
and PurposeSleep disturbance is common in patients with primary headache disorders. We were interest in whether poor sleep quality affects patients directly or via increases in the frequency and severity of headaches. To that end, we investigated the direct and indirect effects of sleep quality on the headache-related impact among patients with primary headache disorders.
Methods:
We analyzed migraine and tension-type headache (TTH) in patients included in the headache registry of our headache clinic from October 2015 to May 2018. We collected information on the headache frequency, severity, and psychological status. Sleep quality and headache-related impact were measured using the Pittsburgh Sleep Quality Index and Headache Impact Test-6, respectively. We performed path analyses with headache frequency and severity as covariates to determine the direct effect of sleep quality on the headache-related impact, and the indirect effects mediated by increases in the headache frequency and severity.
Results:
This study included 915 patients: 784 with migraine and 131 with TTH. Worse sleep quality was independently associated with greater headache-related impact in both patients with migraine and those with TTH. Path analysis revealed a direct effect (β=0.207,p<0.001) of sleep quality and an indirect effect mediated by headache frequency and severity (β=0.067, p=0.004) on the headache-related impact in migraine. In TTH, only direct effects of sleep quality on the headache-related impact were significant (β=0.224, p=0.004).
Conclusions
We suggest that poor sleep quality can directly increase the headache-related impact in both patients with migraine and TTH as well as indirectly by increasing the headache frequency and severity in patients with migraine.
10.Development and Validation of the Cluster Headache Screening Questionnaire.
Pil Wook CHUNG ; Soo Jin CHO ; Byung Kun KIM ; Soo Kyoung KIM ; Mi Ji LEE ; Yun Ju CHOI ; Jeong Wook PARK ; Byung Su KIM ; Kyungmi OH ; Heui Soo MOON ; Tae Jin SONG ; Danbee KANG ; Juhee CHO ; Chin Sang CHUNG
Journal of Clinical Neurology 2019;15(1):90-96
BACKGROUND AND PURPOSE: Cluster headache (CH) is frequently either not diagnosed or the diagnosis is delayed. We addressed this issue by developing the self-administered Cluster Headache Screening Questionnaire (CHSQ). METHODS: Experts selected items from the diagnostic criteria of CH and the characteristics of migraine. The questionnaire was administered to first-visit headache patients at nine headache clinics. The finally developed CHSQ included items based on the differences in responses between CH and non-CH patients, and the accuracy and reliability of the scoring model were assessed. RESULTS: Forty-two patients with CH, 207 migraineurs, 73 with tension-type headache, and 18 with primary stabbing headache were enrolled. The CHSQ item were scored as follows: 3 points for ipsilateral eye symptoms, agitation, and duration; 2 points for clustering patterns; and 1 point for the male sex, unilateral pain, disability, ipsilateral nasal symptoms, and frequency. The total score of the CHSQ ranged from 0 to 16. The mean score was higher in patients with CH than in non-CH patients (12.9 vs. 3.4, p < 0.001). At a cutoff score of >8 points, the CHSQ had a sensitivity, specificity, positive predictive value, and negative predictive value of 95.2%, 96%, 76.9%, and 99.3%, respectively. CONCLUSIONS: The CHSQ is a reliable screening tool for the rapid identification of CH.
Cluster Headache*
;
Diagnosis
;
Dihydroergotamine
;
Headache
;
Headache Disorders, Primary
;
Humans
;
Male
;
Mass Screening*
;
Migraine Disorders
;
Prevalence
;
Sensitivity and Specificity
;
Tension-Type Headache

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