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1,469 results on '"Kim, Joo-Hee"'

1. Association of Cough Severity with Asthma Control and Quality of Life in Patients with Severe Asthma

Author

Lee, Hwa Young, Lee, Youngsoo, Lee, Ji-Hyang, Lee, Seung-Eun, Sim, Da Woon, Kang, Noeul, Kim, Joo-Hee, Kang, Sung-Yoon, Sohn, Kyoung-Hee, Nam, Young Hee, Kim, Sujeong, Park, Chan Sun, Kim, So Ri, An, Jin, Kim, Byung-Keun, Jin, Hyun Jung, Park, So-Young, Lee, Byung-Jae, Lee, Sook Young, Park, Hae-Sim, Cho, You Sook, Kim, Sang-Heon, and Song, Woo-Jung

Published
2024
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3. Predictors of Early and Late Lung Function Improvement in Severe Eosinophilic Asthma on Type2-Biologics in the PRISM Study

Author

Pham, Duong Duc, Lee, Ji-Hyang, Kwon, Hyouk-Soo, Song, Woo-Jung, Cho, You Sook, Kim, Hyunkyoung, Kwon, Jae-Woo, Park, So-Young, Kim, Sujeong, Hur, Gyu Young, Kim, Byung Keun, Nam, Young-Hee, Yang, Min-Suk, Kim, Mi-Yeong, Kim, Sae-Hoon, Lee, Byung-Jae, Lee, Taehoon, Park, So-Young, Kim, Min-Hye, Cho, Young-Joo, Park, ChanSun, Jung, Jae-Woo, Park, Han Ki, Kim, Joo-Hee, Moon, Ji-Yong, Bhavsar, Pankaj, Adcock, Ian, Chung, Kian Fan, and Kim, Tae-Bum

Published
2024
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11. Prospective direct comparison of biologic treatments for severe eosinophilic asthma: Findings from the PRISM study

Author

Pham, Duong Duc, Lee, Ji-Hyang, Kwon, Hyouk-Soo, Song, Woo-Jung, Cho, You Sook, Kim, Hyunkyoung, Kwon, Jae-Woo, Park, So-Young, Kim, Sujeong, Hur, Gyu Young, Kim, Byung Keun, Nam, Young-Hee, Yang, Min-Suk, Kim, Mi-Yeong, Kim, Sae-Hoon, Lee, Byung-Jae, Lee, Taehoon, Park, So Young, Kim, Min-Hye, Cho, Young-Joo, Park, ChanSun, Jung, Jae-Woo, Park, Han Ki, Kim, Joo-Hee, Moon, Ji-Yong, Adcock, Ian, Bhavsar, Pankaj, Chung, Kian Fan, and Kim, Tae-Bum

Published
2024
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13. A comparison of treatment response to biologics in asthma-COPD overlap and pure asthma: Findings from the PRISM study

Author

Shim, Ji-Su, Kim, Hyunkyoung, Kwon, Jae-Woo, Park, So-Young, Kim, Sujeong, Kim, Byung-Keun, Nam, Young-Hee, Yang, Min-Suk, Kim, Mi-Yeong, Kim, Sae-Hoon, Lee, Byung-Jae, Lee, Taehoon, Kim, Sang-Ha, Park, So Young, Cho, Young-Joo, Park, Chan Sun, Jung, Jae-Woo, Park, Han-Ki, Kim, Joo-Hee, Choi, Jeong-Hee, Moon, Ji-Yong, Adcock, Ian, Chung, Kian Fan, Kim, Min-Hye, and Kim, Tae-Bum

Published
2023
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19. Clinical predictors of treatment response to tiotropium add-on therapy in adult asthmatic patients: From multicenter real-world cohort data in Korea

Author

Shim, Ji-Su, Jin, Juhae, Kim, Sae-Hoon, Lee, Taehoon, Jang, An-Soo, Park, Chan Sun, Jung, Jae-Woo, Kwon, Jae-Woo, Moon, Ji-Yong, Yang, Min-Suk, Lee, Jaechun, Choi, Jeong-Hee, Shin, Yoo Seob, Kim, Hee-Kyoo, Kim, Sujeong, Kim, Joo-Hee, Cho, Sang-Heon, Nam, Young-Hee, Kim, Sang-Hoon, Park, So Young, Hur, Gyu Young, Kim, Sang-Ha, Park, Hye-Kyung, Jin, Hyun Jung, Lee, Jae-Hyun, Park, Jung-Won, Yoon, Ho Joo, Choi, Byoung Whui, Cho, Young-Joo, Kim, Min-Hye, and Kim, Tae-Bum

Published
2022
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21. The Association of Chronic Periodontitis as a Potential Risk Factor with Rheumatoid Arthritis: A Nested Case-Control Study Using a Korean National Health Screening Cohort

Author

Kang, Ho Suk, primary, Kim, Joo-Hee, additional, Kim, Ji Hee, additional, Bang, Woo Jin, additional, Choi, Hyo Geun, additional, Yoo, Dae Myoung, additional, Lee, Na-Eun, additional, Han, Kyeong Min, additional, Kim, Nan Young, additional, Park, Ha Young, additional, Min, Kyueng-Whan, additional, and Kwon, Mi Jung, additional

Published
2024
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30. Development of a Risk Prediction Model for Adverse Skin Events Associated with TNF-α Inhibitors in Rheumatoid Arthritis Patients.

Author

Kim, Woorim, Oh, Soo-Jin, Kim, Hyun-Jeong, Kim, Jun-Hyeob, Gil, Jin-Yeon, Ku, Young-Sook, Kim, Joo-Hee, Kim, Hyoun-Ah, Jung, Ju-Yang, Choi, In-Ah, Kim, Ji-Hyoun, Kim, Jinhyun, Han, Ji-Min, and Lee, Kyung-Eun

Subjects
MACHINE learning, DISEASE risk factors, TUMOR necrosis factors, GENOME-wide association studies, LOGISTIC regression analysis, RHEUMATOID arthritis
Abstract

Background: Rheumatoid arthritis (RA) is a chronic inflammatory disorder primarily targeting joints, significantly impacting patients' quality of life. The introduction of tumor necrosis factor-alpha (TNF-α) inhibitors has markedly improved RA management by reducing inflammation. However, these medications are associated with adverse skin reactions, which can vary greatly among patients due to genetic differences. Objectives: This study aimed to identify risk factors associated with skin adverse events by TNF-α in RA patients. Methods: A cohort study was conducted, encompassing patients with RA who were prescribed TNF-α inhibitors. This study utilized machine learning algorithms to analyze genetic data and identify markers associated with skin-related adverse events. Various machine learning algorithms were employed to predict skin and subcutaneous tissue-related outcomes, leading to the development of a risk-scoring system. Multivariable logistic regression analysis identified independent risk factors for skin and subcutaneous tissue-related complications. Results: After adjusting for covariates, individuals with the TT genotype of rs12551103, A allele carriers of rs13265933, and C allele carriers of rs73210737 exhibited approximately 20-, 14-, and 10-fold higher incidences of skin adverse events, respectively, compared to those with the C allele, GG genotype, and TT genotype. The machine learning algorithms used for risk prediction showed excellent performance. The risk of skin adverse events among patients receiving TNF-α inhibitors varied based on the risk score: 0 points, 0.6%; 2 points, 3.6%; 3 points, 8.5%; 4 points, 18.9%; 5 points, 36.7%; 6 points, 59.2%; 8 points, 90.0%; 9 points, 95.7%; and 10 points, 98.2%. Conclusions: These findings, emerging from this preliminary study, lay the groundwork for personalized intervention strategies to prevent TNF-α inhibitor-associated skin adverse events. This approach has the potential to improve patient outcomes by minimizing the risk of adverse effects while optimizing therapeutic efficacy. [ABSTRACT FROM AUTHOR]

Published
2024
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31. Association between Gastric Cancer and Osteoporosis: A Longitudinal Follow-Up Study Using a National Health Sample Cohort.

Author

Han, Kyeong Min, Kwon, Mi Jung, Kim, Joo-Hee, Kim, Ji Hee, Bang, Woo Jin, Choi, Hyo Geun, Yoo, Dae Myoung, Lee, Na-Eun, Kim, Nan Young, and Kang, Ho Suk

Subjects
RISK assessment, STOMACH tumors, RESEARCH funding, LONGITUDINAL method, KAPLAN-Meier estimator, OSTEOPOROSIS, COMPARATIVE studies, DISEASE risk factors, DISEASE complications
Abstract

Simple Summary: Using data from the Korean National Health Insurance Service—National Sample Cohort database, we evaluated whether patient-specific factors such as age, sex, income, residence, and the presence of comorbidities influence the relationship between gastric cancer (GC) and the likelihood of developing osteoporosis. Our study, with 1:4 propensity score matching and a stratified Cox proportional hazards model, showed that the hazard ratio of osteoporosis for the GC group was 1.13 (95%CI, 1.03–1.24) compared to that for the control group. In addition, subgroup analysis showed that age < 65 years, male sex, and a Charlson Comorbidity Index of 0 were risk factors for osteoporosis. Gastric cancer (GC) survivors may be more likely to develop osteoporosis. However, few studies on the relationship between GC and osteoporosis have been conducted on large patient populations. We aimed to determine the incidence of osteoporosis and identify related factors by comparing patients with GC and matched controls using the Korean National Health Insurance Service—National Sample Cohort (KNHIS-NSC). This study included 9078 patients with GC and 36,312 controls (1:4 propensity score-matched for sex, age, residence, and income). The hazard ratio (HR) for osteoporosis was significantly greater for GC patients than for controls according to Charlson Comorbidity Index (CCI) score-adjusted models (adjusted HR = 1.13). Kaplan–Meier analysis revealed that the cumulative incidence of osteoporosis during the follow-up period commencing from the index date was significantly greater in GC patients than in the controls (p = 0.0087). A positive correlation of osteoporosis with GC was detected for those aged < 65 years, males, and those with CCI scores = 0. In conclusion, the study findings suggest that men with GC aged < 65 years may be at an increased risk for osteoporosis. Research into additional risk factors and the optimal timing of interventions are needed to prevent fractures and minimize bone loss in GC survivors. [ABSTRACT FROM AUTHOR]

Published
2024
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35. Management of Hereditary Angioedema in Pediatric, Pregnant, and Breast-Feeding Patients: An Expert Opinion – A Secondary Publication

Author

Yoon, Sun Young, primary, Jung, Jae-Woo, additional, Park, So Young, additional, Kim, Gun-Woo, additional, Son, Kyunghee, additional, Kang, Sung-Yoon, additional, Park, Hye Jung, additional, Kang, Min-Kyu, additional, Kim, Joo-Hee, additional, Park, Kyung Hee, additional, Lee, Dong Hun, additional, Kim, Sae-Hoon, additional, Kwon, Hyouk-Soo, additional, Kang, Hye-Ryun, additional, and Suh, Dong In, additional

Published
2024
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40. Pragmatic Randomized Controlled Trial for Stepping Down Asthma Controller Treatment in Patients Controlled with Low-Dose Inhaled Corticosteroid and Long-Acting β2-Agonist: Step-Down of Intervention and Grade in Moderate Asthma Study

Author

Song, Woo-Jung, Kwon, Hyouk-Soo, Sook, You, Seo, Bomi, Kim, Jung-Hyun, Choi, Byoung-Whui, Cho, Young-Joo, Park, So Young, Yoon, Sun-Young, Jin, Hyun Jung, Park, So-Young, Park, Hye-Kyung, Hur, Gyu Young, Kim, Sang Ha, Kim, Sae-Hoon, Lee, Taehoon, Jang, An-Soo, Park, Chan Sun, Jung, Jae-Woo, Kim, Min-Hye, Kwon, Jae-Woo, Moon, Ji-Yong, Yang, Min-Suk, Lee, Jaechun, Choi, Jeong-Hee, Shin, Yoo Seob, Kim, Hee-Kyoo, Kim, Sujeong, Kim, Joo-Hee, Lee, Suh-Young, Nam, Young-Hee, Kim, Sang-Hoon, and Kim, Tae-Bum

Published
2021
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46. A Randomized, Noninferiority Trial Comparing ICS + LABA with ICS + LABA + LAMA in Asthma-COPD Overlap (ACO) Treatment: The ACO Treatment with Optimal Medications (ATOMIC) Study

Author

Song, Woo-Jung, Kwon, Hyouk-Soo, Cho, You Sook, Moon, Hee-Bom, Ki, Tae-Bum, Kim, Sae-Hoon, Seo, Bomi, Choi, Byoung-Whui, Jung, Jae-Woo, Cho, Young-Joo, Kim, Min-Hye, Jang, An-Soo, Shin, Yoo Seob, Moon, Ji-Yong, Kwon, Jae-Woo, Kim, Sang-Hoon, Park, So Young, Lee, Taehoon, Kim, Sujeong, Park, Chan Sun, Kim, Joo-Hee, Choi, Jeong-Hee, Nam, Young-Hee, Yoon, Sun-Young, Jin, Hyun Jung, Yang, Min-Suk, Lee, Jaechun, Park, Hye-Kyung, Hur, Gyu Young, Kim, Hee-Kyoo, Kim, Sang-Ha, Park, So-Young, Lee, Sang Min, Kang, Sung-Yoon, Ban, Ga-Young, Kim, Solmi, Kim, Jung-Hyun, Park, Seo Young, and Kim, Tae-Bum

Published
2021
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47. A Nationwide Study of Severe Cutaneous Adverse Reactions Based on the Multicenter Registry in Korea

Author

Kang, Dong Yoon, Yun, James, Lee, Suh-Young, Koh, Young-Il, Sim, Da Woon, Kim, Sujeong, Nam, Young Hee, Park, Jung-Won, Kim, Sae Hoon, Ye, Young-Min, Park, Hye-Kyung, Kim, Min-Hye, Jee, Young-Koo, Jung, Jae-Woo, Yang, Min-Suk, Kim, Sang-Heon, Lee, Jun Kyu, Kim, Cheol-Woo, Hur, Gyu Young, Kim, Mi-Yeong, Park, Seoung Ju, Kwon, Yong Eun, Choi, Jeong-Hee, Kim, Joo-Hee, Kim, Sang Hyon, La, Hyen O., Kang, Min-Gyu, Park, Chan Sun, Lee, Sang Min, Jeong, Yi Yeong, Kim, Hee-Kyoo, Jin, Hyun Jung, Jeong, Jae-Won, Lee, Jaechun, Lee, Yong Won, Lee, Seung Eun, Kim, Myoung Shin, and Kang, Hye-Ryun

Published
2021
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48. Factors Influencing Retention Intention of Nurses at Long-Term Care Hospitals in Korea

Author

Shin, So Young and Kim, Joo Hee

Subjects
Work environment -- Appreciation, Employee retention -- Methods, Nurses -- Employment, Long-term care facilities -- Human resource management, Company personnel management, Health, Seniors
Abstract

The current study aimed to assess relationships among role conflict, nursing professionalism, nursing work environment, and retention intention of nurses at long-term care (LTC) hospitals. Participants comprised 183 nurses at nine LTC hospitals located in Busan, Korea. Data were collected using a structured self-report questionnaire and analyzed using descriptive statistics, t test, one-way analysis of variance, Pearson's correlation coefficient, and multiple linear regression. Retention intention had a signifi-cant positive correlation with nursing professionalism (r = 0.39, p < 0.001) and nursing work environment (r = 0.51, p < 0.001). Nursing work environment had a significant negative correlation with role conflict (r = −0.30, p < 0.001) and a significant positive correlation with nursing professionalism (r = 0.48, p < 0.001). In the final multiple regression analysis, factors influencing retention intention of participants included number of beds (β = −0.15 p < 0.026), nursing professionalism (β = 0.19, p = 0.007), and nursing work environment (β = 0.36, p < 0.001). The explanatory power of number of beds, nursing professionalism, and nursing work environment on retention intention was 34% (F = 16.66, p < 0.001). Improving nursing professionalism and nursing work environment of nurses at LTC hospitals will ultimately enhance their retention intention and positively impact the quality of gerontological nursing care. [Journal of Gerontological Nursing, 47(10), 44–53.], Since the implementation of a long-term care (LTC) insurance system by the Korean government in 2008, the number of specialized LTC facilities has increased rapidly, leading to an increase from [...]

Published
2021
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