Background: and Purpose The congestive heart failure, hypertension, age, diabetes, previous stroke/transient ischemic attack (CHA2DS2-VASc) and hypertension, abnormal renal/liver function, stroke, bleeding history or predisposition, labile international normalized ratio, elderly, drugs/alcohol (HAS-BLED) scores have been validated in estimating the risks of ischemic stroke and major bleeding, respectively, in patients with atrial fibrillation (AF). This study investigated stroke-specific predictors of major bleeding in patients with stroke and AF who were taking oral anticoagulants (OACs). Methods: Subjects were selected from patients enrolled in the Korean ATrial fibrillaTion EvaluatioN regisTry in Ischemic strOke patieNts (K-ATTENTION) nationwide multicenter registry between 2013 and 2015. Patients were excluded if they were not taking OACs, had no brain imaging data, or had intracranial bleeding directly related to the index stroke. Major bleeding was defined according to International Society of Thrombosis and Haemostasis criteria. Cox regression analyses were performed to assess the associations between clinical variables and major bleeding and Kaplan-Meier estimates were performed to analyze event-free survival. Results: Of a total of 3,213 patients, 1,414 subjects (mean age of 72.6 years, 52.5% males) were enrolled in this study. Major bleeding was reported in 34 patients during the median follow-up period of 1.73 years. Multivariable analysis demonstrated that initial National Institutes of Health Stroke Scale scores (hazard ratio [HR] 1.07, p=0.006), hypertension (HR 3.18, p=0.030), persistent AF type (HR 2.51, p=0.016), and initial hemoglobin level (HR 0.74, p=0.001) were independently associated with major bleeding risk. Except for hypertension, these associations remained significant after adjusting for the HAS-BLED score. Intracranial atherosclerosis presented a trend of association without statistical significance (HR 2.21, p=0.050). Conclusions This study found that major bleeding risk was independently associated with stroke-specific factors in anticoagulated patients with stroke and AF. This has the clinical implication that baseline characteristics of patients with stroke and AF should be considered in secondary prevention, which would bring the net clinical benefit of balancing recurrent stroke prevention with minimal bleeding complications.

Pancreatic metastasis from papillary thyroid cancer (PTC) is extremely rare; only 18 cases have been reported in the literature. However, several reviews have highlighted similar characteristics between metastatic and primary pancreatic tumors. The patient was a 51-year-old male with a history of total thyroidectomy, modified radical neck dissection, and radioactive iodine ablation for PTC in 2014. Nodules suspected of metastasis were found in both lungs on chest computed tomography (CT). However, after 6 months, a follow-up chest CT showed no increase in size; thus, a follow-up observation was planned. Six years after his initial diagnosis, abdominal CT and pancreas magnetic resonance imaging revealed a 4.7 cm cystic mass with a 2.5 cm enhancing mural nodule in the pancreas tail. We diagnosed the pancreatic lesion as either metastatic cancer or primary pancreas cancer. The patient underwent distal pancreato-splenectomy. After surgery, the pathological report revealed that the mass was metastatic PTC. Pancreatic metastasis from PTC indicates an advanced tumor stage and poor prognosis. However, pancreatectomy can increase the survival rate when the lesion is completely resectable. Therefore, surgical resection should be considered as a treatment for pancreatic metastasis from PTC.

Purpose: Surface-guided radiation therapy is an image-guided method using optical surface imaging that has recently been adopted for patient setup and motion monitoring during treatment. We aimed to determine whether the surface guide setup is accurate and efficient compared to the skin-marking guide in prostate cancer treatment. Materials and Methods: The skin-marking setup was performed, and vertical, longitudinal, and lateral couch values (labeled as "M") were recorded. Subsequently, the surface-guided setup was conducted, and couch values (labeled as "S") were recorded. After performing cone-beam computed tomography (CBCT), the final couch values was recorded (labeled as "C"), and the shift value was calculated (labeled as "Gap (M-S)," "Gap (M-C)," "Gap (S-C)") and then compared. Additionally, the setup times for the skin marking and surface guides were also compared. Results: One hundred and twenty-five patients were analyzed, totaling 2,735 treatment fractions. Gap (M-S) showed minimal differences in the vertical, longitudinal, and lateral averages (-0.03 cm, 0.07 cm, and 0.06 cm, respectively). Gap (M-C) and Gap (S-C) exhibited a mean difference of 0.04 cm (p = 0.03) in the vertical direction, a mean difference of 0.35 cm (p = 0.52) in the longitudinal direction, and a mean difference of 0.11 cm (p = 0.91) in the lateral direction. There was no correlation between shift values and patient characteristics. The average setup time of the skin-marking guide was 6.72 minutes, and 7.53 minutes for the surface guide. Conclusion There was no statistically significant difference between the surface and skin-marking guides regarding final CBCT shift values and no correlation between translational shift values and patient characteristics. We also observed minimal difference in setup time between the two methods. Therefore, the surface guide can be considered an accurate and time-efficient alternative to skin-marking guides.

Objective: Suicide attempts (SAs) in adolescents are difficult to predict although it is a leading cause of death among adolescents. This study aimed to develop and evaluate SA prediction models based on six different machine learning (ML) algorithms for Korean adolescents using data from online surveys. Methods: Data were extracted from the 2011−2018 Korea Youth Risk Behavior Survey (KYRBS), an ongoing annual national survey. The participants comprised 468,482 nationally representative adolescents from 400 middle and 400 high schools, aged 12 to 18. The models were trained using several classic ML methods and then tested on internal and external independent datasets; performance metrics were calculated. Data analysis was performed from March 2020 to June 2020. Results: Among the 468,482 adolescents included in the analysis, 15,012 cases (3.2%) were identified as having made an SA. Three features (suicidal ideation, suicide planning, and grade) were identified as the most important predictors. The performance of the six ML models on the internal testing dataset was good, with both the area under the receiver operating characteristic curve (AUROC) and area under the precision−recall curve (AUPRC) ranging from 0.92 to 0.94. Although the AUROC of all models on the external testing dataset (2018 KYRBS) ranged from 0.93 to 0.95, the AUPRC of the models was approximately 0.5. Conclusion The developed and validated SA prediction models can be applied to detect high risks of SA. This approach could facilitate early intervention in the suicide crisis and may ultimately contribute to suicide prevention for adolescents.

Background: To evaluate workload in emergency rooms (ERs) among clinical specialties including neurology and investigate characteristics of neurological consultations in ER. Methods: A nationwide survey was conducted to evaluate the number of specialists, resident physicians/surgeons, and emergency consultations of each clinical specialty in Korean tertiary referral hospitals from 2018 to 2019. Characteristics of neurological emergency consultations during the same period were investigated in one of the hospitals that participated. Results: A total of 23 hospitals were included. Four irrelevant clinical specialties were excluded. The number of neurology specialists and resident physicians were 12.5/hospital (4.1% of all specialists) and 6.4/hospital (3.4% of all resident physicians/surgeons), respectively, while the mean numbers of specialists and resident physicians or surgeons per clinical specialty were 13.7/hospital and 8.6/hospital, respectively. Neurological consultations accounted for 11.0% of all ER consultations for severe patients (Korean Triage and Acuity Scale level 1-3). Annual ER consultations for severe patients per neurology specialist was 274.1, which was only second to pediatrics (290.0). Annual ER consultations for severe patients per resident physician was 406.6 which was 1.6 times higher than the second highest (internal medicine, 247.0). Frequent conditions for neurological ER consultation were dizziness (24.8%), motor weakness (23.9%), headache (10.6%), dysarthria (9.9%), and seizures (7.7%). Frequent primary diagnoses were cerebrovascular diseases (29.0%) and episodic and paroxysmal disorders (24.9%). Conclusions Workloads of neurology specialists for ER consultation were significantly heavy, and the workload of neurology resident physicians was the heaviest among all specialties. This should be considered in health care policies.

The Korean Medication Algorithm Project for Depressive Disorder (KMAP-DD) first was published in 2002, and has been revised four times, in 2006, 2012, 2017, and 2021. In this review, we compared recommendations from the recently revised KMAP-DD 2021 to four global clinical practice guidelines (CPGs) for depression published after 2010. The recommendations from the KMAP-DD 2021 were similar to those from other CPGs, although there were some differences. The KMAP-DD 2021 reflected social culture and the healthcare system in Korea and recent evidence about pharmacotherapy for depression, as did other recently published evidence-based guidelines. Despite some intrinsic limitations as an expert consensus-based guideline, the KMAP-DD 2021 can be helpful for Korean psychiatrists making decisions in clinical settings by complementing previously published evidence-based guidelines, especially for some clinical situations lacking evidence from rigorously designed clinical trials.

Objective: In the 19 years since the Korean College of Neuropsychopharmacology and the Korean Society for Affective Disorders developed the Korean Medication Algorithm Project for Depressive Disorder (KMAP-DD) in 2002, four revisions have been conducted. Methods: To increase survey efficiency in this revision, to cover the general clinical practice, and to compare the results with previous KMAP-DD series, the overall structure of the questionnaire was maintained. The six sections of the questionnaire were as follows: 1) pharmacological treatment strategies for major depressive disorder (MDD) with/without psychotic features; 2) pharmacological treatment strategies for persistent depressive disorder and other depressive disorder subtypes; 3) consensus for treatment-resistant depression; 4) the choice of an antidepressant in the context of safety, adverse effects, and comorbid physical illnesses; 5) treatment strategies for special populations (children/adolescents, elderly, and women); and 6) non-pharmacological biological therapies. Recommended first-, second-, and third-line strategies were derived statistically. Results: There has been little change in the four years since KMAP-DD 2017 due to the lack of newly introduced drug or treatment strategies. However, shortened waiting time between the initial and subsequent treatments, increased preference for atypical antipsychotics (AAPs), especially aripiprazole, and combination strategies with AAPs yield an active and somewhat aggressive treatment trend in Korea. Conclusion We expect KMAP-DD to provide clinicians with useful information about the specific strategies and medications appropriate for treating patients with MDD by bridging the gap between clinical real practice and the evidence-based world.

Objectives: The Korean Medication Algorithm Project for Depressive Disorder 2021 (KMAP-DD 2021) was made to update new researches and data. This study focused on non-pharmacological biological treatments. Methods: Ninety-seven psychiatrists with extensive clinical experience in the non-pharmacological biological treatment of depressive disorder were primary selected and a questionnaire was sent to each of them by mail, 65 of the 97 replied. Results: Electroconvulsive therapy (ECT) was recommended as an initial strategy for major depressive disorder, severe depressive disorder with/without psychotic features with urgent suicidal risk, or a severe depressive episode with psychotic features in pregnant patients, for non-responders on pharmacotherapy for a moderate depressive episode, and as a second strategy for non-responders on antidepressant monotherapy or combination therapy combined with physical illness. For pregnant women with a severe episode of major depressive disorder, repetitive transcranial magnetic stimulation (rTMS) was preferred as a first-line strategy, and as a second strategy for non-responders on combined antipsychotic and antidepressant therapy and non-responders with comorbidity and physical illness. Complementary or novel treatment was not recommended as the first-line treatment strategy for depressive disorder, but transcranial direct current stimulation (tDCS), vagus nerve stimulation (VNS), deep brain stimulation (DBS), light therapy, and omega-3 fatty acid nutritional therapy were second-line treatment strategies. Conclusion ECT and rTMS are initial strategies in specific clinical situations. Preferences for complementary or novel treatments such as tDCS, light therapy, and omega-3 fatty acid nutritional therapy have increased gradually, but in practice, their usages are still limited.

Objectives: To revise Korean Medication Algorithm Project for Depressive Disorder 2017 (KMAPDD 2017) guidelines by revising antidepressant choices based on their safety, adverse effects, comorbid physical illnesses, and the clinical definition of treatment-resistant depression (TRD). Methods: A 33-item questionnaire comprised of six parts was developed. A 65-expert consensus (65/97, 67.0%) was obtained on pharmacological treatment strategies regarding antidepressant choice with respect to safety, adverse effects, and comorbid physical illnesses. Multiple response sets were subjected to statistical analysis. Results: The results obtained showed that first-line pharmacotherapeutic strategies based on various clinical considerations were as follows: mirtazapine (for patients with increased suicidality, Gastrointestinal discomfort, and insomnia), bupropion (for patients with orthostatic hypotension, history of a safety accident, serotonin syndrome, sedation, sexual dysfunction, and weight gain), and escitalopram (for patients with anticholinergic side effects). For patients exhibiting comorbid conditions, duloxetine was the first line pharmacotherapeutic strategy for chronic pain, escitalopram was the first-line pharmacotherapeutic strategy for diabetes, hypertension, liver disease, Parkinson’s disease, renal disease, epilepsy, and thyroid disease, and sertraline was a first-line pharmacotherapeutic strategy for arrhythmia and cardiovascular disease. Conclusion Pharmacological treatment strategy of KMAP-DD 2021 is similar to that of KMAPDD 2017. Additional study is required to determine antidepressant choices for TRD and cancer patients with depression.

Objectives: An expert consensus guideline for the treatment of depressive disorder, the Korean Medication Algorithm Project for Depressive Disorder (KMAP-DD), was first established in 2002 and updated in 2017. To provide an up-to-date treatment guideline, KMAP-DD 2021 was recently completed. This study was undertaken to provide a guideline for the treatment of depressive disorder in a selected population that included females and elderly. Methods: The survey conducted consisted of 7 questionnaires for each population, females and elderly, with depressive disorder. A total of 65 of 97 experienced psychiatrists answered the survey. Results: For the treatment of premenstrual dysphoric disorder, the selective serotonin reuptake inhibitors, venlafaxine, and desvenlafaxine were recommended as first-line therapies. For major depressive disorder (MDD) during pregnancy, antidepressant (AD) monotherapy was recommended as a first-line therapy for mild to moderate and severe depression, and combined electroconvulsive therapy and AD with atypical antipsychotics (AAP) were recommended as a first-line therapy for severe depression with psychotic features. AD plus AAP was generally recommended for post-partum depression. In elderly with depression, AD monotherapy was recommended as the treatment of choice for mild to moderate episodes, and AD monotherapy and AD plus AAP were recommended as a first-line therapy for severe depression without psychotic features. Lastly, AD plus AAP was chosen as the treatment of choice for psychotic depression. Conclusion Present study provides an updated algorithm for the treatment of females and elderly with depressive disorders. This algorithm provides a practical aid to clinicians for the treatment of females and elderly with MDD.