PURPOSE: The purpose of this study was to identify the influences of recognition on low fertility and views of marriage on childbirth will in university students. METHODS: Participants were 190 university students in Chungchungnamdo province, Korea. The data were collected from May to October 2018 and examined using descriptive statistics, t-test, analysis of variance, Pearson correlation and multiple regression with IBM SPSS Statistics ver. 24.0. RESULTS: Childbirth will was significantly correlated with recognition on low fertility (r=0.20, p=0.002) and views on marriage (r=0.53, p<0.001). Factors associated with childbirth will were views on marriage (β=0.24, p<0.001). CONCLUSION Theses results suggests that views on marriage have important influences on childbirth will in university students. To improve childbirth will, the positive views on marriage need to be formulated in university students.

Many transplant recipients believe that exercise or physical activity after transplantation will have adverse effects on the body and the grafted organ, and even more, some of them believe that the grafted organ will tear off from the vascular bed inside of the abdominal cavity. As a result, many recipients are isolated from social life even after successful recovery of the grafted organ function. However, rehabilitation by physical exercise and activity is essential to return to normal social life. In 1978, a transplantee's sport game known as the Transplant Olympics, which later changed to the World Transplant Games, was started to improve the quality of life and develop friendships between transplant recipients globally. This event promotes improvement of recipient's life quality while delivering an important message to the public. This is because by engaging in sports activities, transplantees can show their healthy life after transplantation to the public. This can also improve self-esteem of the family of organ donors and allow them to verify that their decision to donate was not in vain. Additionally, the public can realize the benefits of transplantation and necessity for organ donation. Finally, the early return to social life and normal family life after transplantation will also reduce the national budget for health insurance. Although sports clubs are located in all transplant centers in Korea, no continuous athletic meetings or transplant sport organization exist nationwide. This problem is exacerbated by the lack of concern that transplant physicians and surgeons show toward recipients' physical activity and exercise. Therefore, in this study, we reviewed the significance of physical activity after transplantation and describe the world transplant games and domestic games to enable development of a recipient rehabilitation plan.
Abdominal Cavity ; Budgets ; Exercise ; Exercise Therapy ; Friends ; Humans ; Insurance, Health ; Korea ; Motor Activity ; Quality of Life ; Rehabilitation* ; Sports ; Surgeons ; Tears ; Tissue and Organ Procurement ; Tissue Donors ; Transplant Recipients ; Transplants

Purpose: The molecular classification of breast cancer is crucial for effective treatment. The emergence of digital pathology has ushered in a new era in which weakly supervised learning leveraging whole-slide images has gained prominence in developing deep learning models because this approach alleviates the need for extensive manual annotation. Weakly supervised learning was employed to classify the molecular subtypes of breast cancer. Materials and Methods: Our approach capitalizes on two whole-slide image datasets: one consisting of breast cancer cases from the Korea University Guro Hospital (KG) and the other originating from The Cancer Genomic Atlas dataset (TCGA). Furthermore, we visualized the inferred results using an attention-based heat map and reviewed the histomorphological features of the most attentive patches. Results: The KG+TCGA-trained model achieved an area under the receiver operating characteristics value of 0.749. An inherent challenge lies in the imbalance among subtypes. Additionally, discrepancies between the two datasets resulted in different molecular subtype proportions. To mitigate this imbalance, we merged the two datasets, and the resulting model exhibited improved performance. The attentive patches correlated well with widely recognized histomorphologic features. The triple-negative subtype has a high incidence of high-grade nuclei, tumor necrosis, and intratumoral tumor-infiltrating lymphocytes. The luminal A subtype showed a high incidence of collagen fibers. Conclusion The artificial intelligence (AI) model based on weakly supervised learning showed promising performance. A review of the most attentive patches provided insights into the predictions of the AI model. AI models can become invaluable screening tools that reduce costs and workloads in practice.

Purpose: The molecular classification of breast cancer is crucial for effective treatment. The emergence of digital pathology has ushered in a new era in which weakly supervised learning leveraging whole-slide images has gained prominence in developing deep learning models because this approach alleviates the need for extensive manual annotation. Weakly supervised learning was employed to classify the molecular subtypes of breast cancer. Materials and Methods: Our approach capitalizes on two whole-slide image datasets: one consisting of breast cancer cases from the Korea University Guro Hospital (KG) and the other originating from The Cancer Genomic Atlas dataset (TCGA). Furthermore, we visualized the inferred results using an attention-based heat map and reviewed the histomorphological features of the most attentive patches. Results: The KG+TCGA-trained model achieved an area under the receiver operating characteristics value of 0.749. An inherent challenge lies in the imbalance among subtypes. Additionally, discrepancies between the two datasets resulted in different molecular subtype proportions. To mitigate this imbalance, we merged the two datasets, and the resulting model exhibited improved performance. The attentive patches correlated well with widely recognized histomorphologic features. The triple-negative subtype has a high incidence of high-grade nuclei, tumor necrosis, and intratumoral tumor-infiltrating lymphocytes. The luminal A subtype showed a high incidence of collagen fibers. Conclusion The artificial intelligence (AI) model based on weakly supervised learning showed promising performance. A review of the most attentive patches provided insights into the predictions of the AI model. AI models can become invaluable screening tools that reduce costs and workloads in practice.

Purpose: The molecular classification of breast cancer is crucial for effective treatment. The emergence of digital pathology has ushered in a new era in which weakly supervised learning leveraging whole-slide images has gained prominence in developing deep learning models because this approach alleviates the need for extensive manual annotation. Weakly supervised learning was employed to classify the molecular subtypes of breast cancer. Materials and Methods: Our approach capitalizes on two whole-slide image datasets: one consisting of breast cancer cases from the Korea University Guro Hospital (KG) and the other originating from The Cancer Genomic Atlas dataset (TCGA). Furthermore, we visualized the inferred results using an attention-based heat map and reviewed the histomorphological features of the most attentive patches. Results: The KG+TCGA-trained model achieved an area under the receiver operating characteristics value of 0.749. An inherent challenge lies in the imbalance among subtypes. Additionally, discrepancies between the two datasets resulted in different molecular subtype proportions. To mitigate this imbalance, we merged the two datasets, and the resulting model exhibited improved performance. The attentive patches correlated well with widely recognized histomorphologic features. The triple-negative subtype has a high incidence of high-grade nuclei, tumor necrosis, and intratumoral tumor-infiltrating lymphocytes. The luminal A subtype showed a high incidence of collagen fibers. Conclusion The artificial intelligence (AI) model based on weakly supervised learning showed promising performance. A review of the most attentive patches provided insights into the predictions of the AI model. AI models can become invaluable screening tools that reduce costs and workloads in practice.

PURPOSE: Severe sepsis is associated with functional disability among patients surviving an acute phase of infection. Efforts to improve functional impairment are important. We assessed the effects of early exercise rehabilitation on functional outcomes in patients with severe sepsis. MATERIALS AND METHODS: A prospective, single-center, case-control study was conducted between January 2013 and May 2014 at a tertiary care center in Korea. Patients with severe sepsis and septic shock were enrolled and randomized to receive standard sepsis treatment or intervention. Intervention involved early targeted physical rehabilitation with sepsis treatment during hospitalization. Participants were assessed at enrollment, hospital discharge, and 6 months after enrollment. Functional recovery was measured using the Modified Barthel Index (MBI), Functional Independence Measure (FIM), and Instrumental Activities of Daily Living (IADL). RESULTS: Forty participants (21 intervention patients) were included in an intention-to-treat analysis. There were no significant differences in baseline MBI, FIM, and IADL between groups. Intervention yielded greater improvement of MBI, FIM, and IADL in the intervention group at hospital discharge, but not significantly. Subgroup analysis of patients with APACHE II scores ≥10 showed significantly greater improvement of physical function at hospital discharge (MBI and FIM) in the intervention group, compared to the control group (55.13 vs. 31.75, p=0.048; 52.40 vs. 31.25, p=0.045). Intervention was significantly associated with improvement of MBI in multiple linear regression analysis (standardized coefficient 0.358, p=0.048). CONCLUSION: Early physical rehabilitation may improve functional recovery at hospital discharge, especially in patients with high initial severity scores.
Activities of Daily Living ; APACHE ; Case-Control Studies ; Hospitalization ; Humans ; Korea ; Linear Models ; Prospective Studies ; Rehabilitation* ; Sepsis* ; Shock, Septic ; Tertiary Care Centers

Objective: The International Cooperative Ataxia Rating Scale (ICARS) is a semiquantitative clinical scale for ataxia that is widely used in numerous countries. The purpose of this study was to investigate the validity and reliability of the Korean-translated version of the ICARS. Methods: Eighty-eight patients who presented with cerebellar ataxia were enrolled. We investigated the construct validity using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). We also investigated the internal consistency using Cronbach’s α and intrarater and interrater reliability using intraclass correlation coefficients. Results: The Korean-translated ICARS showed satisfactory construct validity using EFA and CFA. It also revealed good interrater and intrarater reliability and showed acceptable internal consistency. However, subscale 4 for assessing oculomotor disorder showed moderate internal consistency. Conclusion This is the first report to investigate the validity and reliability of the Korean-translated ICARS. Our results showed excellent construct and convergent validity. The reliability is also acceptable.

PURPOSE: We identified the causative viruses from patients with aseptic meningitis, acute hemorrhagic conjunctivitis and other enterovirus-related diseases to understand the epidemiological patterns and prevailing strains of enterovirus infections each year. MATERIALS AND METHODS: During 1999-2003, we examined 3,260 specimens from 2,939 patients with aseptic meningitis or other clinical manifestations for the presence of enteroviruses by using both cell culture/ neutralisation test and reverse transcription-polymerse chain reaction-sequencing. To investigate the etiological agents which caused an epidemic of acute haemorrhagic conjunctivitis, conjunctival swab samples from acute haemorrhagic conjunctivitis patients showing cytopathic effects in HEp2 cells were tested by enteroviral specific PCR. RESULTS: We identified 603 isolates of enteroviruses (20.5%) among 2,939 cases and 22 serotypes of human enteroviruses were isolated during this 5 year period. Echovirus 13 and coxsackievirus A24 in 2002 and coxsackievirus A9 in 2003 were the first enterovirus to be indentified in Korea since we began the enterovirus surveillance in 1993. While an epidemic of echovirus 13 infection in Korea began in Gwangju and Jeolla province in 2002 and spread to Seoul, Gyunggi, Busan, Ulsan and other regions, echovirus 6 isolates in 2002 were mainly detected in Busan specimens and some Gwangju samples. From the nucleotide sequencing of enteroviral PCR products of conjunctival swab specimens, we found 85% nucleotide homology to coxsackievirus A24 (D90457). CONCLUSIONS: We isolated 603 enteroviral isolates among 2939 cases during 1999-2003. Echovirus 13 and coxsackievirus A24 were the first enterovirus to be identified in Korea and caused nationwide epidemics in 2002.
Busan ; Conjunctivitis ; Conjunctivitis, Acute Hemorrhagic ; Echovirus 6, Human ; Enterovirus B, Human ; Enterovirus Infections ; Enterovirus* ; Gwangju ; Humans ; Korea* ; Meningitis, Aseptic ; Polymerase Chain Reaction ; Seoul ; Ulsan

PURPOSE: We identified the causative viruses from patients with aseptic meningitis, acute hemorrhagic conjunctivitis and other enterovirus-related diseases to understand the epidemiological patterns and prevailing strains of enterovirus infections each year. MATERIALS AND METHODS: During 1999-2003, we examined 3,260 specimens from 2,939 patients with aseptic meningitis or other clinical manifestations for the presence of enteroviruses by using both cell culture/ neutralisation test and reverse transcription-polymerse chain reaction-sequencing. To investigate the etiological agents which caused an epidemic of acute haemorrhagic conjunctivitis, conjunctival swab samples from acute haemorrhagic conjunctivitis patients showing cytopathic effects in HEp2 cells were tested by enteroviral specific PCR. RESULTS: We identified 603 isolates of enteroviruses (20.5%) among 2,939 cases and 22 serotypes of human enteroviruses were isolated during this 5 year period. Echovirus 13 and coxsackievirus A24 in 2002 and coxsackievirus A9 in 2003 were the first enterovirus to be indentified in Korea since we began the enterovirus surveillance in 1993. While an epidemic of echovirus 13 infection in Korea began in Gwangju and Jeolla province in 2002 and spread to Seoul, Gyunggi, Busan, Ulsan and other regions, echovirus 6 isolates in 2002 were mainly detected in Busan specimens and some Gwangju samples. From the nucleotide sequencing of enteroviral PCR products of conjunctival swab specimens, we found 85% nucleotide homology to coxsackievirus A24 (D90457). CONCLUSIONS: We isolated 603 enteroviral isolates among 2939 cases during 1999-2003. Echovirus 13 and coxsackievirus A24 were the first enterovirus to be identified in Korea and caused nationwide epidemics in 2002.
Busan ; Conjunctivitis ; Conjunctivitis, Acute Hemorrhagic ; Echovirus 6, Human ; Enterovirus B, Human ; Enterovirus Infections ; Enterovirus* ; Gwangju ; Humans ; Korea* ; Meningitis, Aseptic ; Polymerase Chain Reaction ; Seoul ; Ulsan