1.Risk of Bleeding and Ischemia in Elderly East Asian Patients with Diabetes Mellitus Treated with either Clopidogrel or Ticagrelor:From the Korean Acute Myocardial Infarction Registry-V
Sang Hoon LEE ; Myung Ho JEONG ; Seok OH ; Yonghwan LIM ; Joon Ho AHN ; Dae Young HYUN ; Seung Hun LEE ; Kyung Hoon CHO ; Min Chul KIM ; Doo Sun SIM ; Young Joon HONG ; Ju Han KIM ; Youngkeun AHN ;
Chonnam Medical Journal 2024;60(3):147-154
		                        		
		                        			
		                        			 Prescribing a P2Y12 inhibitor for patients with diabetes mellitus (DM) and acute myocardial infarction (AMI) who have undergone percutaneous coronary intervention (PCI) is challenging because of the risk of bleeding and ischemia. We compared the risk of ischemia and bleeding between clopidogrel and ticagrelor in elderly East Asian patients with diabetes using the Korea Acute Myocardial Infarction Registry (KAMIR)-V data. This study included 838 patients enrolled in the KAMIR-V who were >75 years, had DM, AMI, and had undergone PCI. The patients were divided into two groups based on the treatment drug. After propensity score matching, 466 patients (ticagrelor: clopidogrel=233:233) were included in the Cox regression analyses to determine the risk of bleeding and ischemia. The baseline characteristics were not different. The type of antiplatelet therapy did not affect the incidence of Bleeding Academic Research Consortium type ≥2 bleeding. There was no significant difference between ticagrelor and clopidogrel treatment outcomes with respect to ischemia risk. This prospective study of a Korean patient cohort (elderly Korean patients with DM) showed no differences in bleeding and ischemia risks based on the use of either ticagrelor or clopidogrel.Large scale randomized controlled trials are warranted to determine the optimal antiplatelet agents for these patients. 
		                        		
		                        		
		                        		
		                        	
3.Recent trends in opioid prescriptions in Korea from 2002 to 2015 based on the Korean NHIS-NSC cohort
Joungyoun KIM ; Sang-Jun SHIN ; Jihyun YOON ; Hyeong-Seop KIM ; Jae-woo LEE ; Ye-seul KIM ; Yonghwan KIM ; Hyo-Sun YOU ; Hee-Taik KANG
Epidemiology and Health 2022;44(1):e2022029-
		                        		
		                        			 OBJECTIVES:
		                        			Opioids are prescribed to treat moderate to severe pain. We investigated recent trends in opioid (morphine, oxycodone, fentanyl, and hydromorphone) prescriptions using data from the Korean National Health Insurance Service-National Sample Cohort between 2002 and 2015. 
		                        		
		                        			METHODS:
		                        			The morphine milligram equivalent (MME) was calculated to standardize the relative potency of opioids. The number (cases) or amount (MME) of annual opioid prescriptions per 10,000 registrants was computed to analyze trends in opioid prescriptions after age standardization. Joinpoint regression analysis was conducted to calculate the annual percentage change and average annual percentage change (AAPC). 
		                        		
		                        			RESULTS:
		                        			The number (cases) of prescriptions per 10,000 registrants increased from 0.07 in 2002 to 41.23 in 2015 (AAPC, 76.0%; 95% confidence interval [CI], 61.6 to 91.7). The MME per 10,000 registrants increased from 15.06 in 2002 to 40,727.80 in 2015 (AAPC, 103.0%; 95% CI, 78.2 to 131.3). The highest AAPC of prescriptions and MME per 10,000 registrants were observed in the elderly (60-69 years) and in patients treated at general hospitals. Fentanyl prescriptions increased most rapidly among the 4 opioids. 
		                        		
		                        			CONCLUSIONS
		                        			Consumption of opioids greatly increased in Korea over the 14-year study period. 
		                        		
		                        		
		                        		
		                        	
4.Exposure to Secondhand Smoke and a Tobacco-Specific Carcinogen in Non-Smokers
Jae-woo LEE ; Woojung YANG ; Ye-Seul KIM ; Yonghwan KIM ; Hyo-Sun YOO ; Hee-Taik KANG
Korean Journal of Family Medicine 2022;43(2):117-124
		                        		
		                        			 Background:
		                        			The International Agency for Research on Cancer classifies 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) as a known carcinogen. This study aimed to investigate the association between exposure to secondhand smoke (SHS) and NNAL concentrations in non-smokers. 
		                        		
		                        			Methods:
		                        			This was a cross-sectional study based on data from the 2016 to 2018 Korea National Health and Nutrition Examination Survey. Urine NNAL concentrations were categorized into tertiles of 3,615 study participants who were non-smokers. All sampling and weight variables were stratified, and analyses to account for the complex sampling design were conducted. 
		                        		
		                        			Results:
		                        			The overall, male, and female percentages of SHS exposure among non-smokers were 22.4%, 29.2%, and 20.4%, respectively. The geometric means of urine NNAL concentrations were 1.896±0.098 pg/mL and 1.094±0.028 pg/mL in the SHS exposure and non-exposure groups, respectively. After adjusting for confounding variables, in the total group, the geometric mean of urine NNAL concentrations was significantly higher in the SHS exposure group than in the SHS non-exposure group (adjusted P-value <0.001). Compared with the non-exposure group, the adjusted odds ratios (95% confidence intervals) for the highest NNAL tertile group of overall SHS exposure in the total, men, and women groups were 2.44 (1.95–3.05), 1.65 (1.08–2.53), and 2.73 (2.11–3.52), respectively, after full adjustment. 
		                        		
		                        			Conclusion
		                        			The urine NNAL concentration in the SHS exposure group was significantly higher than that in the non-exposure group. Exposure to SHS was associated with a higher risk of elevated urine NNAL concentrations in non-smokers. 
		                        		
		                        		
		                        		
		                        	
5.Diagnostic model for pancreatic cancer using a multi-biomarker panel
Yoo Jin CHOI ; Woongchang YOON ; Areum LEE ; Youngmin HAN ; Yoonhyeong BYUN ; Jae Seung KANG ; Hongbeom KIM ; Wooil KWON ; Young-Ah SUH ; Yongkang KIM ; Seungyeoun LEE ; Junghyun NAMKUNG ; Sangjo HAN ; Yonghwan CHOI ; Jin Seok HEO ; Joon Oh PARK ; Joo Kyung PARK ; Song Cheol KIM ; Chang Moo KANG ; Woo Jin LEE ; Taesung PARK ; Jin-Young JANG
Annals of Surgical Treatment and Research 2021;100(3):144-153
		                        		
		                        			 Purpose:
		                        			Diagnostic biomarkers of pancreatic ductal adenocarcinoma (PDAC) have been used for early detection to reduce its dismal survival rate. However, clinically feasible biomarkers are still rare. Therefore, in this study, we developed an automated multi-marker enzyme-linked immunosorbent assay (ELISA) kit using 3 biomarkers (leucine-rich alpha-2-glycoprotein [LRG1], transthyretin [TTR], and CA 19-9) that were previously discovered and proposed a diagnostic model for PDAC based on this kit for clinical usage. 
		                        		
		                        			Methods:
		                        			Individual LRG1, TTR, and CA 19-9 panels were combined into a single automated ELISA panel and tested on 728 plasma samples, including PDAC (n = 381) and normal samples (n = 347). The consistency between individual panels of 3 biomarkers and the automated multi-panel ELISA kit were accessed by correlation. The diagnostic model was developed using logistic regression according to the automated ELISA kit to predict the risk of pancreatic cancer (high-, intermediate-, and low-risk groups). 
		                        		
		                        			Results:
		                        			The Pearson correlation coefficient of predicted values between the triple-marker automated ELISA panel and the former individual ELISA was 0.865. The proposed model provided reliable prediction results with a positive predictive value of 92.05%, negative predictive value of 90.69%, specificity of 90.69%, and sensitivity of 92.05%, which all simultaneously exceed 90% cutoff value. 
		                        		
		                        			Conclusion
		                        			This diagnostic model based on the triple ELISA kit showed better diagnostic performance than previous markers for PDAC. In the future, it needs external validation to be used in the clinic. 
		                        		
		                        		
		                        		
		                        	
6.Clinical Practice Guidelines for Managing Frailty in Community-Dwelling Korean Elderly Adults in Primary Care Settings
Hyo-Sun YOU ; Yu-Jin KWON ; Sunyoung KIM ; Yang-Hyun KIM ; Ye-seul KIM ; Yonghwan KIM ; Yong-kyun ROH ; Byoungjin PARK ; Young Kyu PARK ; Chang-Hae PARK ; Joung Sik SON ; Jinyoung SHIN ; Hyun-Young SHIN ; Bumjo OH ; Jae-woo LEE ; Jae Yong SHIM ; Chang Won WON ; Ji Won YOO ; Sang-Hyun LEE ; Hee-Taik KANG ; Duk Chul LEE
Korean Journal of Family Medicine 2021;42(6):413-424
		                        		
		                        			
		                        			 Aging has become a global problem, and the interest in healthy aging is growing. Healthy aging involves a focus on the maintenance of the function and well-being of elderly adults, rather than a specific disease. Thus, the management of frailty, which is an accumulated decline in function, is important for healthy aging. The adaptation method was used to develop clinical practice guidelines on frailty management that are applicable in primary care settings. The guidelines were developed in three phases: preparation (organization of committees and establishment of the scope of development), literature screening and evaluation (selection of the clinical practice guidelines to be adapted and evaluation of the guidelines using the Korean Appraisal of Guidelines for Research and Evaluation II tool), and confirmation of recommendations (three rounds of Delphi consensus and internal and external reviews). A total of 16 recommendations (five recommendations for diagnosis and assessment, 11 recommendations for intervention of frailty) were made through the guideline development process. These clinical practice guidelines provide overall guidance on the identification, evaluation, intervention, and monitoring of frailty, making them applicable in primary care settings. As aging and “healthy aging” become more and more important, these guidelines are also expected to increase in clinical usefulness. 
		                        		
		                        		
		                        		
		                        	
7.CORRIGENDUM: Diagnostic model for pancreatic cancer using a multi-biomarker panel
Yoo Jin CHOI ; Woongchang YOON ; Areum LEE ; Youngmin HAN ; Yoonhyeong BYUN ; Jae Seung KANG ; Hongbeom KIM ; Wooil KWON ; Young-Ah SUH ; Yongkang KIM ; Seungyeoun LEE ; Junghyun NAMKUNG ; Sangjo HAN ; Yonghwan CHOI ; Jin Seok HEO ; Joon Oh PARK ; Joo Kyung PARK ; Song Cheol KIM ; Chang Moo KANG ; Woo Jin LEE ; Taesung PARK ; Jin-Young JANG
Annals of Surgical Treatment and Research 2021;100(4):252-
		                        		
		                        		
		                        		
		                        	
8.Association between Second-hand Smoke Exposure and Urinary NNAL Level in Korean Adolescents
Hyo-Sun YOU ; Jae-woo LEE ; Ye-seul KIM ; Yonghwan KIM ; Hyeong-Cheol LEE ; Jin Young HWANG ; Woojung YANG ; Hee-Taik KANG
Journal of Korean Medical Science 2021;36(13):e82-
		                        		
		                        			Background:
		                        			The 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) is a metabolite of tobacco-specific lung carcinogen that can be found in both smokers and non-smokers.Particularly, NNAL levels of children with a history of exposure to second-hand smoke (SHS) are higher than those of adults. Thus, we aimed to investigate the association between SHS exposure and urine NNAL levels in Korean adolescents. 
		                        		
		                        			Methods:
		                        			This cross-sectional study used data from the Korea National Health and Nutrition Examination Survey VII. Overall, 648 never-smoking adolescents (425 boys and 223 girls) aged 12 to 18 were included in this study. Logistic regression analyses identified the relationship between SHS exposure and elevated urine NNAL levels. 
		                        		
		                        			Results:
		                        			The mean urine NNAL levels of the no exposure and exposure group in boys were 1.39 and 2.26 ng/mL, respectively, whereas they were 1.01 and 2.45 ng/mL in girls, respectively (P < 0.001). Among the adolescents exposed to SHS, the confounder-adjusted odds ratio (95% confidence intervals) for elevated urine NNAL levels according to exposure area as overall, home, and public area were 2.68 (1.58–4.53), 31.02 (9.46–101.74), and 1.89 (1.12–3.17) in boys;and 6.50 (3.22–13.11), 20.09 (7.08–57.04), and 3.94 (1.98–7.77) in girls, respectively. 
		                        		
		                        			Conclusion
		                        			SHS exposure was significantly associated with elevated urine NNAL levels in Korean adolescents, particularly in female adolescents and in those with home exposure.These findings remind us of the need to protect adolescents from SHS.
		                        		
		                        		
		                        		
		                        	
9.Association between Second-hand Smoke Exposure and Urinary NNAL Level in Korean Adolescents
Hyo-Sun YOU ; Jae-woo LEE ; Ye-seul KIM ; Yonghwan KIM ; Hyeong-Cheol LEE ; Jin Young HWANG ; Woojung YANG ; Hee-Taik KANG
Journal of Korean Medical Science 2021;36(13):e82-
		                        		
		                        			Background:
		                        			The 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) is a metabolite of tobacco-specific lung carcinogen that can be found in both smokers and non-smokers.Particularly, NNAL levels of children with a history of exposure to second-hand smoke (SHS) are higher than those of adults. Thus, we aimed to investigate the association between SHS exposure and urine NNAL levels in Korean adolescents. 
		                        		
		                        			Methods:
		                        			This cross-sectional study used data from the Korea National Health and Nutrition Examination Survey VII. Overall, 648 never-smoking adolescents (425 boys and 223 girls) aged 12 to 18 were included in this study. Logistic regression analyses identified the relationship between SHS exposure and elevated urine NNAL levels. 
		                        		
		                        			Results:
		                        			The mean urine NNAL levels of the no exposure and exposure group in boys were 1.39 and 2.26 ng/mL, respectively, whereas they were 1.01 and 2.45 ng/mL in girls, respectively (P < 0.001). Among the adolescents exposed to SHS, the confounder-adjusted odds ratio (95% confidence intervals) for elevated urine NNAL levels according to exposure area as overall, home, and public area were 2.68 (1.58–4.53), 31.02 (9.46–101.74), and 1.89 (1.12–3.17) in boys;and 6.50 (3.22–13.11), 20.09 (7.08–57.04), and 3.94 (1.98–7.77) in girls, respectively. 
		                        		
		                        			Conclusion
		                        			SHS exposure was significantly associated with elevated urine NNAL levels in Korean adolescents, particularly in female adolescents and in those with home exposure.These findings remind us of the need to protect adolescents from SHS.
		                        		
		                        		
		                        		
		                        	
10.CORRIGENDUM: Diagnostic model for pancreatic cancer using a multi-biomarker panel
Yoo Jin CHOI ; Woongchang YOON ; Areum LEE ; Youngmin HAN ; Yoonhyeong BYUN ; Jae Seung KANG ; Hongbeom KIM ; Wooil KWON ; Young-Ah SUH ; Yongkang KIM ; Seungyeoun LEE ; Junghyun NAMKUNG ; Sangjo HAN ; Yonghwan CHOI ; Jin Seok HEO ; Joon Oh PARK ; Joo Kyung PARK ; Song Cheol KIM ; Chang Moo KANG ; Woo Jin LEE ; Taesung PARK ; Jin-Young JANG
Annals of Surgical Treatment and Research 2021;100(4):252-
		                        		
		                        		
		                        		
		                        	
            
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