Objective: To develop an evidence-based guideline for the diagnosis and treatment of antipsychotic-induced hyperprolactinemia by adapting existing high-quality clinical guidelines with a view to improve the clinical symptoms and long-term quality of life of patients by providing appropriate management. Methods: This guideline was developed according to the ADAPTE methodology. The adaptation process included determining key health questions, systematically searching and screening guidelines, evaluating the quality and contents of these guidelines, deriving recommendations for key questions, and performing a peer review. The selection criteria for the guideline search were (1) evidence-based guidelines, (2) published within the last 5 years, and (3) written in English or Korean. Results: After evaluating the quality and content, we finally selected three guidelines for adaptation. The final output of the development process was 25 recommendations for 10 key questions. We adopted the Agency for Health Research Quality methodology and presented the level of evidence from levels I to IV. In addition, we defined the recommendation grades from grade A (strongly recommended) to D (no recommendation) based on the level of evidence and clinical significance of the recommendation. Conclusion The development and dissemination of the adapted guideline is expected to increase the certainty of medical decision making and improve the quality of medical care. Further studies on the effectiveness and applicability of the developed guideline are necessary.

Background: Dermatophyte infection is one of the most common skin diseases affecting the skin, hair, and nails. Despite widespread recognition of the disease, missing details and misperceptions are commonplace in the general population. Objective: This study aimed to investigate the public perception and behavior regarding dermatophytosis of the hands and feet. Methods: This results from an online survey conducted between July 2022 and August 2022. The survey included 1,000 Korean participants aged 20 to 69 years, of whom 60% experienced symptoms of tinea pedis or onychomycosis. The questionnaire focused on the awareness and personal experience of tinea pedis and perception of the treatment of dermatophytosis. Results: Of the 1,000 participants, nearly 80% regarded tinea pedis as a common skin condition by which anyone can be affected. Furthermore, 88.4% had heard that the treatment of tinea pedis could be harmful, causing skin rash (60.4%) and worsening liver function (48.5%). Among 896 participants who noticed suspicious symptoms, 81.2% did not visit the clinic because it was not severe (50.1%) and seemed easily manageable (25.7%). Of the respondents, 84.4% preferred to meet dermatologists rather than non-dermatologist doctors regarding skin diseases, mainly because of trust in experts and belief in a faster cure. Conclusion Providing accurate and detailed information via online media, educational campaigns, and medical papers can rectify misconceptions and improve patient appliance, contributing to public skin health.

Purpose: We examined the effects of the 8-week moderate-intensity Pilates exercise program on body composition, balance ability, metabolic parameters, arterial condition, and eating habits among overweight and obese women. Methods: From the general sample of overweight or obese Korean women (body mass index ≥ 23 kg/m2 ), those who had not been diagnosed with any chronic degenerative diseases were enrolled in the study (n = 39). After 8 weeks of the Pilates exercise program, the participants were subdivided into adherence and non-adherence groups. Among the study participants, 24 women were matched for age and menopausal status to reduce the bias, and then finally included for the comparison (Pilates-adherence, n = 12; Pilates-non-adherence, n = 12). Results: The body balance measured by the Y-balance test, body mass index, and subcutaneous fat areas were significantly improved in both groups. However, the Pilatesadherence group showed more positive changes in body balance and had significant improvement in body composition parameters such as waist size, visceral fat area, systolic blood pressure, arterial aging index, fasting blood glucose, and glycated hemoglobin than the Pilates-non-adherence group. In addition, the nutrition quotient for Korean adults (balance,moderation, and behavior except diversity) were significantly improved in both groups after dietary education. However, the participants did not show dramatic improvement in the metabolic parameters, because all the study subjects were in relatively good health and did not have any diagnosed diseases. Conclusion This study demonstrated that higher adherence to the Pilates exercise program together with a modification of eating habits may effectively improve body balance, body composition, and obesity-related parameters among overweight and obese women.

Objective: In somatic symptom disorder (SSD), cognitive dysfunction is related to perceptive distortion that excessively amplifies bodily sensations. The association between high body mass index (BMI) and cognitive dysfunction could be attributed to underlying systemic inflammation. We aimed to evaluate whether patients with SSD and high BMI exhibit increased somatic symptom severity and whether this is mediated by cognitive dysfunction. Methods: This retrospective, cross-sectional study was conducted on 54 patients with SSD (20 males/34 females, mean age ± standard deviation: 40.65 ± 13.23 years). Participants’ BMI, laboratory data including complete blood count and lipid profile, results from the Korean Wechsler Adult Intelligence Scale-IV, and scores of the Korean-Symptom Checklist 95-Somatization (SCL95-SOM) were analyzed. We performed a path analysis to evaluate BMI as a predictor of somatic symptoms. Results: In a path analysis, the SCL95-SOM score was directly influenced by working memory (b = −0.326, p = 0.032), which was significantly influenced by BMI (b = −0.338, p = 0.009), although there was no direct effect of BMI on the SCL95-SOM score. The path analytic model showed a close fit to the data with the following values: χ2 (df) = 0.918 (1), p = 0.338, root mean square error of approximation = 0.000 (＜ 0.001), and comparative fit index = 1.00. Conclusion Patients with SSD and high BMI may exhibit increased somatic symptom severity, and this is mediated by working memory dysfunction. Weight management may help improve symptoms in patients with SSD and high BMI.

Background and Objectives: A mobile application (app)-based electrocardiogram (ECG) consultation system (InterMD Co., Ltd., Seoul, Korea) using the collective intelligence (CI) and the availability of large-scale digitized ECG data would extend the utility of ECGs beyond their current limitations, while at the same time preserving interpretability that remains critical to medical decision-making. Methods: We developed a new mobile app-based ECG consultation system by CI for general practitioners. We compared the responses of ECG reading between the mobile app-based CI system and the conventional system in a tertiary referring hospital. Results: We analyzed 376 consecutive ECGs between December 2017 and May 2019. Of these, 159 ECGs (42.3%) were interpreted by CI through the mobile app-based ECG consultation system and 217 ECGs (57.7%) were analyzed by cardiologists in the conventional systems based on electronic medical record data in a tertiary hospital. All ECG readings were confirmed by an electrophysiologist (EP). The time to an initial response by the CI system was faster than that of the conventional system (6.6 hours vs. 35.8 hours, p<0.0001). The number of responses of each ECG in CI system outnumbered those of the conventional system in the tertiary hospital (3.1 vs. 1.2, p<0.0001). The consensus of the ECG readings with EP was similar in both systems (98.6% vs. 100%, p=0.158). Conclusions The mobile app-based ECG consultation system by CI is as reliable method as the conventional referral system. It would expand the app of the 12-lead ECG with the collaboration of physicians in clinics and hospitals without time and space constraints.

Objective: In somatic symptom disorder (SSD), cognitive dysfunction is related to perceptive distortion that excessively amplifies bodily sensations. The association between high body mass index (BMI) and cognitive dysfunction could be attributed to underlying systemic inflammation. We aimed to evaluate whether patients with SSD and high BMI exhibit increased somatic symptom severity and whether this is mediated by cognitive dysfunction. Methods: This retrospective, cross-sectional study was conducted on 54 patients with SSD (20 males/34 females, mean age ± standard deviation: 40.65 ± 13.23 years). Participants’ BMI, laboratory data including complete blood count and lipid profile, results from the Korean Wechsler Adult Intelligence Scale-IV, and scores of the Korean-Symptom Checklist 95-Somatization (SCL95-SOM) were analyzed. We performed a path analysis to evaluate BMI as a predictor of somatic symptoms. Results: In a path analysis, the SCL95-SOM score was directly influenced by working memory (b = −0.326, p = 0.032), which was significantly influenced by BMI (b = −0.338, p = 0.009), although there was no direct effect of BMI on the SCL95-SOM score. The path analytic model showed a close fit to the data with the following values: χ2 (df) = 0.918 (1), p = 0.338, root mean square error of approximation = 0.000 (＜ 0.001), and comparative fit index = 1.00. Conclusion Patients with SSD and high BMI may exhibit increased somatic symptom severity, and this is mediated by working memory dysfunction. Weight management may help improve symptoms in patients with SSD and high BMI.

Background and Objectives: A mobile application (app)-based electrocardiogram (ECG) consultation system (InterMD Co., Ltd., Seoul, Korea) using the collective intelligence (CI) and the availability of large-scale digitized ECG data would extend the utility of ECGs beyond their current limitations, while at the same time preserving interpretability that remains critical to medical decision-making. Methods: We developed a new mobile app-based ECG consultation system by CI for general practitioners. We compared the responses of ECG reading between the mobile app-based CI system and the conventional system in a tertiary referring hospital. Results: We analyzed 376 consecutive ECGs between December 2017 and May 2019. Of these, 159 ECGs (42.3%) were interpreted by CI through the mobile app-based ECG consultation system and 217 ECGs (57.7%) were analyzed by cardiologists in the conventional systems based on electronic medical record data in a tertiary hospital. All ECG readings were confirmed by an electrophysiologist (EP). The time to an initial response by the CI system was faster than that of the conventional system (6.6 hours vs. 35.8 hours, p<0.0001). The number of responses of each ECG in CI system outnumbered those of the conventional system in the tertiary hospital (3.1 vs. 1.2, p<0.0001). The consensus of the ECG readings with EP was similar in both systems (98.6% vs. 100%, p=0.158). Conclusions The mobile app-based ECG consultation system by CI is as reliable method as the conventional referral system. It would expand the app of the 12-lead ECG with the collaboration of physicians in clinics and hospitals without time and space constraints.

Objective: We aimed to find the optimal cut-off scores for screening of odor detection threshold, odor discrimination, and odor identification tests for detection of mild cognitive impairment (MCI) and dementia in Korean elderly. Methods: A total of 195 elderly people were divided into three groups: the normal cognition (NC), MCI, and dementia groups. All participants underwent neurocognitive and olfactory function tests. We used k-means cluster analysis and receiver operating characteristic (ROC) analysis to identify the most appropriate cut-off value. Results: To distinguish the MCI from NC groups, odor identification [area under the curve (AUC)=0.670, p<0.007] with a cut-off point of 7 showed greater validity for screening (sensitivity/specificity=0.462/0.837) than did other olfactory function tests. To distinguish the MCI and dementia from NC as well, odor identification (AUC=0.817, p=0.002) with a cut-off point of 7 showed the highest validity for screening (0.785/0.654). To distinguish MCI from AD, an odor detection threshold (AUC=0.722, p=0.001) with a cut-off point of 2 showed the highest validity for screening (0.785/0.654). Conclusion Olfactory function tests may be a useful screening tool for cognitive decline before clinical symptoms of dementia have completely developed. This tool can be used as a supplementary tool to enhance the sensitivity of traditional cognitive tests to screen for dementia.