Although major countries, such as South Korea, have developed and disseminated national smoking cessation guidelines, these efforts have been limited to developing individual societies or specialized institution-based recommendations. Therefore, evidence-based clinical guidelines are essential for developing smoking cessation interventions and promoting effective smoking cessation treatments. This guideline targets frontline clinical practitioners involved in a smoking cessation treatment support program implemented in 2015 with the support of the National Health Insurance Service. The Guideline Development Group of 10 multidisciplinary smoking cessation experts employed the Grading of Recommendations Assessment, Development, and Evaluation (GRADE)-ADOLOPMENT approach to review recent domestic and international research and guidelines and to determine evidence levels using the GRADE methodology. The guideline panel formulated six strong recommendations and one conditional recommendation regarding pharmacotherapy choices among general and special populations (mental disorders and chronic obstructive lung disease [COPD]). Strong recommendations favor varenicline rather than a nicotine patch or bupropion, using varenicline even if they are not ready to quit, using extended pharmacotherapy (>12 weeks) rather than standard treatment (8–12 weeks), or using pharmacotherapy for individuals with mental disorders or COPD. The conditional recommendation suggests combining varenicline with a nicotine patch instead of using varenicline alone. Aligned with the Korean Society of Medicine’s clinical guideline development process, this is South Korea’s first domestic smoking cessation treatment guideline that follows standardized guidelines. Primarily focusing on pharmacotherapy, it can serve as a foundation for comprehensive future smoking cessation clinical guidelines, encompassing broader treatment topics beyond medications.

Objective: We aimed to identify the individual and interactive effects of childhood abuse and suicidal ideation on antidepressant treatment response in 12 months. Methods: In this prospective research, 1,262 depressive patients were asked about their childhood abuse history, suicidal ideation, and other clinical characteristics and socio-demographic features at baseline, and 1,015 of them were followed during 1 year of stepwise pharmacotherapy. The individual and interactive relationships of the childhood abuse history and suicidal ideation on 12-month antidepressant non-remission were explored by logistic regression with relevant covariates. Results: Having a childhood abuse history and higher suicidal ideation significantly predicted a non-remission state in 12 months respectively. The interaction term of childhood abuse and suicidal ideation was also significantly related to a non-remission state at 12 months. To be specific, in the low suicidal ideation group, depressive patients with a childhood abuse history were more likely to be in a non-remission state after 12 months of medication. In the high suicidal ideation group, however, childhood abuse history was not significantly associated with the non-remission state at 12 months. Conclusion The childhood abuse history and the level of suicidal ideation are informative factors predicting the long-term results of antidepressant treatment, especially when they are combined. Clinicians may consider antidepressants with a higher affinity for patients with childhood abuse history even if they don’t have suicidal ideation. The cognitive intervention for suicidal ideation might be helpful in addition to pharmacological treatment.

Background: Evaluation of regional left ventricle function using two-dimensional echocardiography (2DE) in patients with ischemic heart disease has limitations due to its low objectivity and qualitative nature. In addition, 2DE is limited because multiple acoustic windows are used to obtain the image, whereas three-dimensional echocardiography (3DE) uses a single window. This study aims to demonstrate the clinical utility of 3DE segmental volume analysis for evaluating regional wall motion abnormality (RWMA). Methods: This retrospective study included 33 patients with ischemic heart disease and single-vessel territory RWMA confirmed on coronary angiography. RWMA was visually assessed using 2DE, generating 17-segment bull’s-eye polar maps, and 3DE. In the 3DE study, two independent observers analyzed segmental volumes and segmental volume ejection fractions (SVEFs) using QLAB 3D quantification software. The optimal SVEF cutoff value differentiating normal from abnormal was determined using receiver operating curve analysis. The accuracy of 3DE in predicting culprit coronary arteries was compared with that of 2DE using Cohen κ coefficients, which also were used for interobserver and intraobserver variability assessments. Results: Mean 3DE SVEFs were significantly lower in segments showing RWMA on 2DE. The optimal SVEF cutoff value was 44%, with sensitivity of 75.0% and specificity of 73.9% (area under the curve, 0.801; 95% CI, 0.763–0.838; P < 0.001).The reliability of 3DE-derived bull’s-eye predictions of culprit coronary arteries was 81.8% (κ = 0.672; 95% CI, 0.555– 0.789; P < 0.001). Interobserver and intraobserver variabilities were 97.0% (κ = 0.947; 95% CI, 0.894–1.00; P < 0.001) and 93.9% (κ = 0.897; 95% CI, 0.827–0.967; P < 0.001), respectively. Conclusions The 3DE segmental volume analysis effectively quantified regional left ventricle function and aligned well with 2DE and coronary angiography findings in predicting culprit coronary arteries. Thus, 3DE segmental volume analysis can serve as a quantitative and objective tool for RWMA assessment in patients with ischemic heart disease.

Background and Objectives: Obstructive sleep apnea (OSA) is a prevalent sleep disorder characterized by recurrent upper airway obstruction, leading to disrupted sleep and various health complications. Positional OSA (POSA) refers to patients whose OSA severity is significantly influenced by body position, especially when lying supine. This study aimed to evaluate the polysomnographic characteristics of POSA and non-positional OSA (non-POSA) and to assess their clinical implications. Methods: This retrospective study included patients diagnosed with OSA who underwent type 1 polysomnography. Patients were categorized into POSA and non-POSA groups based on whether their apnea-hypopnea index (AHI) in the supine position was at least twice as high as that in the lateral position. We collected and analyzed clinical and polysomnographic parameters, including AHI, oxygen desaturation index, arousal index, nadir peripheral oxygen saturation (SpO2), and sleep position proportions. These were compared across different OSA severity levels—mild, moderate, and severe—to assess differences between the POSA and non-POSA groups. Results: In total, 500 patients with OSA were analyzed, of whom 63.4% were classified as having POSA. Patients with POSA exhibited milder disease severity than those without, with an average AHI of 23.3±15.3/h versus 43.9±27.9/h, respectively, and a higher nadir SpO2 of 82.8%±6.6% versus 77.1%±9.8%. POSA was more common in patients with mild OSA (76.5%) and moderate OSA (72.8%), while severe OSA cases were predominantly non-POSA (POSA was 47.4%). Moreover, patients with POSA spent significantly more sleep time in the lateral position (43.8%±22.7%) than non-POSA patients (27.2%±28.2%). Conclusion Patients with POSA generally exhibited milder disease and more favorable polysomnographic profiles than non-POSA patients. POSA is prevalent in mild-to-moderate OSA, and identifying it via polysomnography may inform tailored treatment strategies.

Background and Objectives: Although cardiac rehabilitation (CR) is highly recommended in patients with cardiovascular disease (CVD), participation in CR is low mainly due to access barriers. Home-based CR (HBCR) has been recommended to overcome access barriers.Exercise is a core component of CR and should be developed and implemented based on individual characteristics. We aimed to assess physical activity behaviors, exercise preferences, and exercise barriers to understand physical activity characteristics of CVD patients. Methods: Participants were patients between the ages 19 to 75 years with a history of heart failure with reduced ejection fraction (HFrEF) or myocardial infarction (MI). They completed a cross-sectional survey at a tertiary hospital's outpatient clinic from April to June 2021. Survey data included physical activity levels, patterns, preference, and barriers of exercise. Results: Participants (n=189; 143 males, 46 females, 62.1±12.0 years) were diagnosed as either HFrEF (n=160, 84.7%) or a history of MI (n=97, 51.3%). Only 26.5% of patients engaged in moderate to vigorous exercise for more than 150 minutes per week. Participants preferred exercising alone or with families. Walking (65.6%) and resistance exercises (35.4%) were favored, with outdoor (37%) and home-based (30.2%) settings preferred over fitness centers (10.6%) and hospitals (0.5%). Barriers to exercise included fatigue (34.4%), poor health perception (31.7%), and low fitness levels (30.7%). Conclusions The results of this study can be used to develop tailored HBCR programs that consider individual preferences and address specific barriers, facilitating adequate physical activity engagement.

Background: Evaluation of regional left ventricle function using two-dimensional echocardiography (2DE) in patients with ischemic heart disease has limitations due to its low objectivity and qualitative nature. In addition, 2DE is limited because multiple acoustic windows are used to obtain the image, whereas three-dimensional echocardiography (3DE) uses a single window. This study aims to demonstrate the clinical utility of 3DE segmental volume analysis for evaluating regional wall motion abnormality (RWMA). Methods: This retrospective study included 33 patients with ischemic heart disease and single-vessel territory RWMA confirmed on coronary angiography. RWMA was visually assessed using 2DE, generating 17-segment bull’s-eye polar maps, and 3DE. In the 3DE study, two independent observers analyzed segmental volumes and segmental volume ejection fractions (SVEFs) using QLAB 3D quantification software. The optimal SVEF cutoff value differentiating normal from abnormal was determined using receiver operating curve analysis. The accuracy of 3DE in predicting culprit coronary arteries was compared with that of 2DE using Cohen κ coefficients, which also were used for interobserver and intraobserver variability assessments. Results: Mean 3DE SVEFs were significantly lower in segments showing RWMA on 2DE. The optimal SVEF cutoff value was 44%, with sensitivity of 75.0% and specificity of 73.9% (area under the curve, 0.801; 95% CI, 0.763–0.838; P < 0.001).The reliability of 3DE-derived bull’s-eye predictions of culprit coronary arteries was 81.8% (κ = 0.672; 95% CI, 0.555– 0.789; P < 0.001). Interobserver and intraobserver variabilities were 97.0% (κ = 0.947; 95% CI, 0.894–1.00; P < 0.001) and 93.9% (κ = 0.897; 95% CI, 0.827–0.967; P < 0.001), respectively. Conclusions The 3DE segmental volume analysis effectively quantified regional left ventricle function and aligned well with 2DE and coronary angiography findings in predicting culprit coronary arteries. Thus, 3DE segmental volume analysis can serve as a quantitative and objective tool for RWMA assessment in patients with ischemic heart disease.

Background and Objectives: Obstructive sleep apnea (OSA) is a prevalent sleep disorder characterized by recurrent upper airway obstruction, leading to disrupted sleep and various health complications. Positional OSA (POSA) refers to patients whose OSA severity is significantly influenced by body position, especially when lying supine. This study aimed to evaluate the polysomnographic characteristics of POSA and non-positional OSA (non-POSA) and to assess their clinical implications. Methods: This retrospective study included patients diagnosed with OSA who underwent type 1 polysomnography. Patients were categorized into POSA and non-POSA groups based on whether their apnea-hypopnea index (AHI) in the supine position was at least twice as high as that in the lateral position. We collected and analyzed clinical and polysomnographic parameters, including AHI, oxygen desaturation index, arousal index, nadir peripheral oxygen saturation (SpO2), and sleep position proportions. These were compared across different OSA severity levels—mild, moderate, and severe—to assess differences between the POSA and non-POSA groups. Results: In total, 500 patients with OSA were analyzed, of whom 63.4% were classified as having POSA. Patients with POSA exhibited milder disease severity than those without, with an average AHI of 23.3±15.3/h versus 43.9±27.9/h, respectively, and a higher nadir SpO2 of 82.8%±6.6% versus 77.1%±9.8%. POSA was more common in patients with mild OSA (76.5%) and moderate OSA (72.8%), while severe OSA cases were predominantly non-POSA (POSA was 47.4%). Moreover, patients with POSA spent significantly more sleep time in the lateral position (43.8%±22.7%) than non-POSA patients (27.2%±28.2%). Conclusion Patients with POSA generally exhibited milder disease and more favorable polysomnographic profiles than non-POSA patients. POSA is prevalent in mild-to-moderate OSA, and identifying it via polysomnography may inform tailored treatment strategies.

Background and Objectives: Although cardiac rehabilitation (CR) is highly recommended in patients with cardiovascular disease (CVD), participation in CR is low mainly due to access barriers. Home-based CR (HBCR) has been recommended to overcome access barriers.Exercise is a core component of CR and should be developed and implemented based on individual characteristics. We aimed to assess physical activity behaviors, exercise preferences, and exercise barriers to understand physical activity characteristics of CVD patients. Methods: Participants were patients between the ages 19 to 75 years with a history of heart failure with reduced ejection fraction (HFrEF) or myocardial infarction (MI). They completed a cross-sectional survey at a tertiary hospital's outpatient clinic from April to June 2021. Survey data included physical activity levels, patterns, preference, and barriers of exercise. Results: Participants (n=189; 143 males, 46 females, 62.1±12.0 years) were diagnosed as either HFrEF (n=160, 84.7%) or a history of MI (n=97, 51.3%). Only 26.5% of patients engaged in moderate to vigorous exercise for more than 150 minutes per week. Participants preferred exercising alone or with families. Walking (65.6%) and resistance exercises (35.4%) were favored, with outdoor (37%) and home-based (30.2%) settings preferred over fitness centers (10.6%) and hospitals (0.5%). Barriers to exercise included fatigue (34.4%), poor health perception (31.7%), and low fitness levels (30.7%). Conclusions The results of this study can be used to develop tailored HBCR programs that consider individual preferences and address specific barriers, facilitating adequate physical activity engagement.

Background: Evaluation of regional left ventricle function using two-dimensional echocardiography (2DE) in patients with ischemic heart disease has limitations due to its low objectivity and qualitative nature. In addition, 2DE is limited because multiple acoustic windows are used to obtain the image, whereas three-dimensional echocardiography (3DE) uses a single window. This study aims to demonstrate the clinical utility of 3DE segmental volume analysis for evaluating regional wall motion abnormality (RWMA). Methods: This retrospective study included 33 patients with ischemic heart disease and single-vessel territory RWMA confirmed on coronary angiography. RWMA was visually assessed using 2DE, generating 17-segment bull’s-eye polar maps, and 3DE. In the 3DE study, two independent observers analyzed segmental volumes and segmental volume ejection fractions (SVEFs) using QLAB 3D quantification software. The optimal SVEF cutoff value differentiating normal from abnormal was determined using receiver operating curve analysis. The accuracy of 3DE in predicting culprit coronary arteries was compared with that of 2DE using Cohen κ coefficients, which also were used for interobserver and intraobserver variability assessments. Results: Mean 3DE SVEFs were significantly lower in segments showing RWMA on 2DE. The optimal SVEF cutoff value was 44%, with sensitivity of 75.0% and specificity of 73.9% (area under the curve, 0.801; 95% CI, 0.763–0.838; P < 0.001).The reliability of 3DE-derived bull’s-eye predictions of culprit coronary arteries was 81.8% (κ = 0.672; 95% CI, 0.555– 0.789; P < 0.001). Interobserver and intraobserver variabilities were 97.0% (κ = 0.947; 95% CI, 0.894–1.00; P < 0.001) and 93.9% (κ = 0.897; 95% CI, 0.827–0.967; P < 0.001), respectively. Conclusions The 3DE segmental volume analysis effectively quantified regional left ventricle function and aligned well with 2DE and coronary angiography findings in predicting culprit coronary arteries. Thus, 3DE segmental volume analysis can serve as a quantitative and objective tool for RWMA assessment in patients with ischemic heart disease.

Background and Objectives: Obstructive sleep apnea (OSA) is a prevalent sleep disorder characterized by recurrent upper airway obstruction, leading to disrupted sleep and various health complications. Positional OSA (POSA) refers to patients whose OSA severity is significantly influenced by body position, especially when lying supine. This study aimed to evaluate the polysomnographic characteristics of POSA and non-positional OSA (non-POSA) and to assess their clinical implications. Methods: This retrospective study included patients diagnosed with OSA who underwent type 1 polysomnography. Patients were categorized into POSA and non-POSA groups based on whether their apnea-hypopnea index (AHI) in the supine position was at least twice as high as that in the lateral position. We collected and analyzed clinical and polysomnographic parameters, including AHI, oxygen desaturation index, arousal index, nadir peripheral oxygen saturation (SpO2), and sleep position proportions. These were compared across different OSA severity levels—mild, moderate, and severe—to assess differences between the POSA and non-POSA groups. Results: In total, 500 patients with OSA were analyzed, of whom 63.4% were classified as having POSA. Patients with POSA exhibited milder disease severity than those without, with an average AHI of 23.3±15.3/h versus 43.9±27.9/h, respectively, and a higher nadir SpO2 of 82.8%±6.6% versus 77.1%±9.8%. POSA was more common in patients with mild OSA (76.5%) and moderate OSA (72.8%), while severe OSA cases were predominantly non-POSA (POSA was 47.4%). Moreover, patients with POSA spent significantly more sleep time in the lateral position (43.8%±22.7%) than non-POSA patients (27.2%±28.2%). Conclusion Patients with POSA generally exhibited milder disease and more favorable polysomnographic profiles than non-POSA patients. POSA is prevalent in mild-to-moderate OSA, and identifying it via polysomnography may inform tailored treatment strategies.