1.Erratum to "Potential Role of Dietary Salmon Nasal Cartilage Proteoglycan on UVB-Induced Photoaged Skin" Biomol Ther 32(2), 249-260 (2024)
Hae Ran LEE ; Seong-Min HONG ; Kyohee CHO ; Seon Hyeok KIM ; Eunji KO ; Eunyoo LEE ; Hyun Jin KIM ; Se Yeong JEON ; Seon Gil DO ; Sun Yeou KIM
Biomolecules & Therapeutics 2025;33(2):415-415
2.Erratum to "Potential Role of Dietary Salmon Nasal Cartilage Proteoglycan on UVB-Induced Photoaged Skin" Biomol Ther 32(2), 249-260 (2024)
Hae Ran LEE ; Seong-Min HONG ; Kyohee CHO ; Seon Hyeok KIM ; Eunji KO ; Eunyoo LEE ; Hyun Jin KIM ; Se Yeong JEON ; Seon Gil DO ; Sun Yeou KIM
Biomolecules & Therapeutics 2025;33(2):415-415
3.Erratum to "Potential Role of Dietary Salmon Nasal Cartilage Proteoglycan on UVB-Induced Photoaged Skin" Biomol Ther 32(2), 249-260 (2024)
Hae Ran LEE ; Seong-Min HONG ; Kyohee CHO ; Seon Hyeok KIM ; Eunji KO ; Eunyoo LEE ; Hyun Jin KIM ; Se Yeong JEON ; Seon Gil DO ; Sun Yeou KIM
Biomolecules & Therapeutics 2025;33(2):415-415
4.The epidemiology of male lower urinary tract symptoms associated with benign prostatic hyperplasia: Results of 20 years of Korean community care and surveys
Seonguk JEH ; Minsung CHOI ; Changseok KANG ; Daehyun KIM ; Jaehwi CHOI ; Seemin CHOI ; Jeongseok HWA ; Chunwoo LEE ; Sungchul KAM ; Seongwon KWON ; Saecheol KIM ; Jaeman SONG ; Dongdeuk KWON ; Tae Gyun KWON ; Kwangho KIM ; Younggon KIM ; Taehyung KIM ; Yong Gil NA ; Dong Soo PARK ; Hyun Jun PARK ; Rakhee SEONG ; Sangguk YANG ; Seongtae YOON ; Jinhan YUN ; Gyeongseop LEE ; Donghyun LEE ; Seonju LEE ; Byungyul JEON ; Hyunchul JUNG ; Seongjun HONG ; Nakkyu CHOI ; Yunsoo LEE ; Jaeseog HYUN
Investigative and Clinical Urology 2024;65(1):69-76
Purpose:
To investigate the prevalence of lower urinary tract symptoms/benign prostatic hyperplasia in a Korean population.
Materials and Methods:
The Korean Prostate & Voiding Health Association provided free prostate-related community health care and conducted surveys in all regions of Korea from 2001 to 2022 with the cooperation of local government public health centers. A total of 72,068 males older than 50 were surveyed and analyzed. History taking, International Prostate Symptom Score (IPSS), transrectal ultrasonography, prostate-specific antigen (PSA) testing, uroflowmetry, and urine volume testing were performed.
Results:
The mean prostate volumes in males in their 50s, 60s, 70s, and 80s or above were 24.7 g, 27.7 g, 31 g, and 33.7 g, respectively. The proportion of males with high PSA greater than 3 ng/mL was 3.8% among males in their 50s, 7.7% among males in their 60s, 13.1% among males in their 70s, and 17.9% among males 80 years of age or older. The mean IPSS total scores in males in their 50s, 60s, 70s, and 80s or above were 10.7, 12.7, 14.5, and 16, respectively. Severe symptoms were reported by 27.3% of males, whereas 51.7% reported moderate symptoms. The mean Qmax in males in their 50s, 60s, 70s, and 80s or above were 20 mL/s, 17.4 mL/s, 15.4 mL/s, and 13.8 mL/s, respectively.
Conclusions
In this population-based study, mean prostate volume, IPSS, PSA, and Qmax were 30.6±15.1 g, 14.8±8.2, 1.9±4.7 ng/mL, and 15.6±6.5 mL/s, respectively. Aging was significantly associated with increased prostate volume, PSA levels, and IPSS scores, and with decreased Qmax and urine volume.
5.Potential Role of Dietary Salmon Nasal Cartilage Proteoglycan on UVB-Induced Photoaged Skin
Hae Ran LEE ; Seong-Min HONG ; Kyohee CHO ; Seon Hyeok KIM ; Eunji KO ; Eunyoo LEE ; Hyun Jin KIM ; Se Yeong JEON ; Seon Gil DO ; Sun Yeou KIM
Biomolecules & Therapeutics 2024;32(2):249-260
New supplements with preventive effects against skin photodamage are receiving increasing attention. This study evaluated the anti-photoaging effects of salmon nasal cartilage proteoglycan (SPG), acting as a functional material for skin health. We administered SPG to in vitro and in vivo models exposed to ultraviolet B (UVB) radiation and assessed its moisturizing and anti-wrinkle effects on dorsal mouse skin and keratinocytes and dermal fibroblasts cell lines. These results showed that SPG restored the levels of filaggrin, involucrin, and AQP3 in the epidermis of UVB-irradiated dorsal skin and keratinocytes, thereby enhancing the keratinization process and water flow. Additionally, SPG treatment increased the levels of hyaluronan and skin ceramide, the major components of intercellular lipids in the epidermis. Furthermore, SPG treatment significantly increased the levels of collagen and procollagen type 1 by down-regulating matrix metalloproteinase 1, which play a crucial role in skin fibroblasts, in both in vitro and in vivo models. In addition, SPG strongly inhibited mitogen-activated protein kinase (MAPKs) signaling, the including extracellular signal-regulated kinase, c-Jun N-terminal kinase (JNK), and p38. These findings suggest that dietary SPG may be an attractive functional food for preventing UVB-induced photoaging. And this SPG product may provide its best benefit when treating several signs of skin photoaging.
6.Erratum to "Potential Role of Dietary Salmon Nasal Cartilage Proteoglycan on UVB-Induced Photoaged Skin" Biomol. Ther. 32 (2024) 249-260
Hae Ran LEE ; Seong-Min HONG ; Kyohee CHO ; Seon Hyeok KIM ; Eunji KO ; Eunyoo LEE ; Hyun Jin KIM ; Se Yeong JEON ; Seon Gil DO ; Sun Yeou KIM
Biomolecules & Therapeutics 2024;32(3):399-399
7.Effect of Counting Error Prevention Training on Operating Room Nurses’ Counting Error Prevention Awareness and Perceptions of Patient Safety
Myung Jin JANG ; Mi Kyung HONG ; Mi Jeong LEE ; Kyung A LEE ; Yang Ok KIM ; Jin A JEON ; Hana KO
Korean Journal of Health Promotion 2024;24(1):20-28
Background:
This study aimed to identify changes in counting error prevention awareness and patient safety perception through counting error prevention education to operating room nurses.
Methods:
This was a one-group, pretest-posttest, quasi-experimental study. The participants were operating room nurses. A total of 46 nurses were recruited, and data was collected between October 1 and 31, 2022. Measures used for this study assessed counting error prevention awareness and patient safety perception. The data were analyzed using paired t-tests.
Results:
The counting error prevention awareness of the participants increased significantly from 3.68 to 3.95 points before and after education, respectively (t=-5.07, P<0.001), while patient safety perception significantly increased from 3.95 to 4.20 points before and after training, respectively (t=-2.68, P=0.010).
Conclusions
Counting error prevention awareness and patient safety perception of operating room nurses prevent fatal damage to patients with surgeries and lower mortality. The results of this study suggest the necessity of various education methods to reduce medical accidents among surgical patients and to raise patient safety perception for operating room nurses.
8.Microbiologic pattern and clinical outcome of non-ICU-acquired pneumonia: Korean HAP registry analysis
Jin Ho JANG ; Hye Ju YEO ; Taehwa KIM ; Woo Hyun CHO ; Kyung Hoon MIN ; Sang-Bum HONG ; Ae-Rin BAEK ; Hyun-Kyung LEE ; Changhwan KIM ; Youjin CHANG ; Hye Kyeong PARK ; Jee Youn OH ; Heung Bum LEE ; Soohyun BAE ; Jae Young MOON ; Kwang Ha YOO ; Hyun-Il GIL ; Kyeongman JEON ;
The Korean Journal of Internal Medicine 2023;38(3):450-450
9.Empiric Anti-Pseudomonal β-Lactam Monotherapy Versus Fluoroquinolone Combination Therapy in Patients With Hospital-Acquired Pneumonia: A Multicenter Cohort Study With Propensity Score Matching
Moon Seong BAEK ; Ae-Rin BAEK ; Sang-Bum HONG ; Soohyun BAE ; Hye Kyeong PARK ; Changhwan KIM ; Hyun-Kyung LEE ; Woo Hyun CHO ; Jin Hyoung KIM ; Youjin CHANG ; Heung Bum LEE ; Hyun-Il GIL ; Beomsu SHIN ; Kwang Ha YOO ; Jae Young MOON ; Jee Youn OH ; Kyung Hoon MIN ; Kyeongman JEON ;
Journal of Korean Medical Science 2023;38(41):e353-
Background:
There is insufficient data on the benefits of empiric antibiotic combinations for hospital-acquired pneumonia (HAP). We aimed to investigate whether empiric antipseudomonal combination therapy with fluoroquinolones decreases mortality in patients with HAP.
Methods:
This multicenter, retrospective cohort study included adult patients admitted to 16 tertiary and general hospitals in Korea between January 1 and December 31, 2019.Patients with risk factors for combination therapy were divided into anti-pseudomonal non-carbapenem β-lactam monotherapy and fluoroquinolone combination therapy groups.Primary outcome was 30-day mortality. Propensity score matching (PSM) was used to reduce selection bias.
Results:
In total, 631 patients with HAP were enrolled. Monotherapy was prescribed in 54.7% (n = 345) of the patients, and combination therapy was prescribed in 45.3% (n = 286).There was no significant difference in 30-day mortality between the two groups (16.8% vs.18.2%, P = 0.729) or even after the PSM (17.5% vs. 18.2%, P = 0.913). After the PSM, adjusted hazard ratio for 30-day mortality from the combination therapy was 1.646 (95% confidence interval, 0.782–3.461; P = 0.189) in the Cox proportional hazards model. Moreover, there was no significant difference in the appropriateness of initial empiric antibiotics between the two groups (55.0% vs. 56.8%, P = 0.898). The proportion of multidrug-resistant (MDR) pathogens was high in both groups.
Conclusion
Empiric anti-pseudomonal fluoroquinolone combination therapy showed no survival benefit compared to β-lactam monotherapy in patients with HAP. Caution is needed regarding the routine combination of fluoroquinolones in the empiric treatment of HAP patients with a high risk of MDR.
10.Generative Adversarial Network-Based Image Conversion Among Different Computed Tomography Protocols and Vendors: Effects on Accuracy and Variability in Quantifying Regional Disease Patterns of Interstitial Lung Disease
Hye Jeon HWANG ; Hyunjong KIM ; Joon Beom SEO ; Jong Chul YE ; Gyutaek OH ; Sang Min LEE ; Ryoungwoo JANG ; Jihye YUN ; Namkug KIM ; Hee Jun PARK ; Ho Yun LEE ; Soon Ho YOON ; Kyung Eun SHIN ; Jae Wook LEE ; Woocheol KWON ; Joo Sung SUN ; Seulgi YOU ; Myung Hee CHUNG ; Bo Mi GIL ; Jae-Kwang LIM ; Youkyung LEE ; Su Jin HONG ; Yo Won CHOI
Korean Journal of Radiology 2023;24(8):807-820
Objective:
To assess whether computed tomography (CT) conversion across different scan parameters and manufacturers using a routable generative adversarial network (RouteGAN) can improve the accuracy and variability in quantifying interstitial lung disease (ILD) using a deep learning-based automated software.
Materials and Methods:
This study included patients with ILD who underwent thin-section CT. Unmatched CT images obtained using scanners from four manufacturers (vendors A-D), standard- or low-radiation doses, and sharp or medium kernels were classified into groups 1–7 according to acquisition conditions. CT images in groups 2–7 were converted into the target CT sty le (Group 1: vendor A, standard dose, and sharp kernel) using a RouteGAN. ILD was quantified on original and converted CT images using a deep learning-based software (Aview, Coreline Soft). The accuracy of quantification was analyzed using the dice similarity coefficient (DSC) and pixel-wise overlap accuracy metrics against manual quantification by a radiologist. Five radiologists evaluated quantification accuracy using a 10-point visual scoring system.
Results:
Three hundred and fifty CT slices from 150 patients (mean age: 67.6 ± 10.7 years; 56 females) were included. The overlap accuracies for quantifying total abnormalities in groups 2–7 improved after CT conversion (original vs. converted: 0.63vs. 0.68 for DSC, 0.66 vs. 0.70 for pixel-wise recall, and 0.68 vs. 0.73 for pixel-wise precision; P < 0.002 for all). The DSCs of fibrosis score, honeycombing, and reticulation significantly increased after CT conversion (0.32 vs. 0.64, 0.19 vs. 0.47, and 0.23 vs. 0.54, P < 0.002 for all), whereas those of ground-glass opacity, consolidation, and emphysema did not change significantly or decreased slightly. The radiologists’ scores were significantly higher (P < 0.001) and less variable on converted CT.
Conclusion
CT conversion using a RouteGAN can improve the accuracy and variability of CT images obtained using different scan parameters and manufacturers in deep learning-based quantification of ILD.

Result Analysis
Print
Save
E-mail