• Asian Pacific Journal of Cancer Prevention
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• v.16 no.6
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• pp.2489-2493
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• 2015

Background: Loss of heterozygosity (LOH) on chromosomal regions is crucial in tumor progression and this study aimed to identify genome-wide LOH in pancreatic cancer. Materials and Methods: Single-nucleotide polymorphism (SNP) profiling data GSE32682 of human pancreatic samples snap-frozen during surgery were downloaded from Gene Expression Omnibus database. Genotype console software was used to perform data processing. Candidate genes with LOH were screened based on the genotype calls, SNP loci of LOH and dbSNP database. Gene annotation was performed to identify the functions of candidate genes using NCBI (the National Center for Biotechnology Information) database, followed by Gene Ontology, INTERPRO, PFAM and SMART annotation and UCSC Genome Browser track to the unannotated genes using DAVID (the Database for Annotation, Visualization and Integration Discovery). Results: The candidate genes with LOH identified in this study were MCU, MICU1 and OIT3 on chromosome 10. MCU was found to encode a calcium transporter and MICU1 could encode an essential regulator of mitochondrial $Ca^{2+}$ uptake. OIT3 possibly correlated with calcium binding revealed by the annotation analyses and was regulated by a large number of transcription factors including STAT, SOX9, CREB, NF-kB, PPARG and p53. Conclusions: Global genomic analysis of SNPs identified MICU1, MCU and OIT3 with LOH on chromosome 10, implying involvement of these genes in progression of pancreatic cancer.

• Journal of Nutrition and Health
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• v.44 no.5
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• pp.384-393
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• 2011

The objective of this study was to determine the nutritional support in patients treated in medical intensive care units (MICUs) by evaluating the extent of current nutritional support using the patient care plan and considering the association between nutritional status and the amount of nutrition supplied. From April to December 2010, 114 patients (age ${\qeq}$ 18 years) admitted to the MICU and who underwent nutritional support for > 5 days were included. Descriptive statistics showed that the 114 patients received nutritional support within 1.2 ${\pm}$ 0.7 days and for 16.2 ${\pm}$ 11.7 days in the MICUs. The total delivered/required caloric ratio was 81.08 ${\pm}$ 27.31%, and the protein ratio was 80.32 ${\pm}$ 28.93%. Patients who received > 80% of required calories and protein showed improved nutritional status (p < 0.05). The results showed that adequate nutritional support is crucial to critically ill patients. We suggest early nutritional screening using simple tools such as periodic monitoring and management to recalculate nutritional status and nutritional requirements and nutritional support using a multidisciplinary method. Systematic nutritional support teams are needed to provide adequate nutritional support for patients in the MICU.

• Korea Journal of Hospital Management
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• v.25 no.3
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• pp.14-28
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• 2020

Purpose: The purpose of this study was to calculate the total daily nursing workload and the optimum number of nurses per intensive care unit (ICU) based on the nursing intensity and the direct nursing time per inpatient using the patient classification. Methods: Two ICUs at one general hospital were investigated. To calculate the nursing intensity, patient classification according to the nursing needs was conducted for 10 days in each unit during September 2018. We performed patient classifications for a total of 167 patient-days in the Medical Intensive Care Unit (MICU) and 86 patient-days in the Surgical Intensive Care Unit (SICU). The total number of person-days for nurses who responded to the Nursing Time survey was 151 for MICU and 85 for SICU. In each unit, direct and non-direct nursing hours, nursing intensity score, and direct nursing hours were analyzed using descriptive statistics such as frequency, percentage, and average calculated using Microsoft Excel. The amount of nursing workload and the optimum number of nurses were calculated according to the formula developed by the authors. Findings: For the MICU, the average direct nursing time per patient was 5.59 hours for Group 1, 6.98 hours for Group 2, and 9.28 hours for Group 3. For the SICU, the average direct nursing time per patient was 5.43 hours for Group 1, 7.21 hours for Group 2, 9.75 hours for Group 3, and 12.82 hours for Group 4. Practical Implications: This study confirmed that the appropriate number of nurses was not secured in the nursing unit of this study, and that leisure time such as meal time during nursing work hours was not properly guaranteed. The findings suggest that to create working environments where nurses can serve for extended periods of time without compromising their professional standards, hospitals should secure an appropriate number of nurses.

• Journal of Korean Academy of Nursing
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• v.37 no.6
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• pp.883-890
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• 2007

Purpose: The purpose of this study was to identify the entity of critical care nursing practices through analyzing nursing statements described by electronic nursing records in a MICU. Methods: 176,459 nursing statements of 188 patients during a 6 month-stay were analyzed statement by statement according to the nursing process(nursing phenomena, nursing diagnosis, & nursing activity) and 21 nursing components of Saba's Clinical Care Classification. Results: Among 176,459 single statements, the statements of nursing activity ranked first in number. The contents of the statements were analyzed and categorized by main themes. Among 489 categorized themes, the number of themes of nursing phenomena statements was the highest. When analyzed by Saba's clinical Care Classification, the nursing statements mainly included a physiological component. Among 21 components, the respiratory component ranked in the first position in nursing phenomena, nursing diagnosis and nursing activity. The extra statements not included in the 21 components were 9,294(15.1%) in nursing phenomena and 21,949(22.7%) in nursing activity. Most are statements related to tests and the doctor. Conclusion: The entity of MICU nursing practice expressed by electronic nursing records was mainly focused on physiological components and more precisely on respiratory components.

• KIEAE Journal
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• v.15 no.2
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• pp.19-26
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• 2015

Purpose: Maximizing human comfort in design of medical environments depends immensely on specialized architects particularly critical care design; the study proposes Evidence-Based Design as an apparent analog to Evidence-Based Medicine. Healthcare facility designs are substantially based on the findings of study in an effort to design environments that augment care by improving patient safety and being therapeutic. On SPSS (Statistical Package for Social Science) t-test is applied to simulate two independent variables of PDR (Pre Design-Research) and POE (Post- Occupancy Evaluation). PDR is conducted on relatively new hospital Hallym University Dongtan Sacred Heart Hospital to analyse visibility from researchers' point of view, here the ICU is arranged in I-Shape. POE is applied on Dongguk University Ilsan Hospital to simulate walking on LogWare where two NS are designed based on L- Shape and Seoul St. Mary's Hospital, The Catholic University of Korea where five NS are functional for ICU Intensive Care Unit, Surgical Intensive Care Unit (SICU), Medical Intensive Care Unit (MICU), Critical Care Unit (CCU), Korean Oriental Medical Care Unit which are mostly arranged in U-Shape, and walking pattern is recognized to be in a zigzag path. Method: T-Test is applied on two dependent communication variables: walkability and visibility, with confidence interval of 95%. This study systematically analyses the Nurse Station (NS) typo-morphology, and simulates nurse horizontal circulation, by computing round route visits to patient's bed, then estimating minimum round route on LogWare stop sequence software. The visual connectivity is measured on depth map graphs. Hence the aim is to reduce staff stress and fatigue for better patients care by minimizing staff horizontal travel time and to facilitate nurse walk path and support space distribution by increasing effectiveness in delivering care. Result: Applying visibility graph and isovist field on space syntax on I- Shape, L- Shape and U- Shape ICU (SICU, MICU and CCU) configuration, I-shape facilitated 20% more patients in linear view as they stir to rise from their beds from nurse station compared to U-shape. In conclusion, it was proved that U-Shape supply minimum walking and maximum visibility; and L shape provides just visibility as the nurse is at pivot. I shape provides panoramic view from the Nurse Station but very rigorous walking.

• Journal of Korean Academy of Nursing Administration
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• v.11 no.4
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• pp.449-467
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• 2005

Purpose: This study aims to offer the fundamental data in order to cost the nursing service on the basis of the NIC and a close examination of the interventions that are contained in the health insurance cost list under the system of the current health insurance. Methods: The data is handled with the SPSS 10.0 program. The participants' general peculiarity is calculated in terms of the real number and the percentage, and the performing frequency of the nursing interventions is calculated in terms of the mean and the standard deviation. the correlation between the participants' general peculiarity and the performing frequency of the nursing interventions is analysed with t-test or one way ANOVA of SPSS. Results: In the performing frequency of the nursing interventions, the domain of "the physiological: basic" was the highest as 2.69${\pm}$1.21, the domain of "the behavioral" was the lowest as 2.11${\pm}$1.12. There were 50 core interventions in the medical unit, 48 in the surgical unit, 24 in the MICU and 33 in the SICU. The health insurance cost items contained commonly in the core interventions of each unit were 12, and the health insurance cost items except 12 items contained commonly in the core interventions of each unit were appeared 14 items in the medical unit, 6 in the surgical unit, 7 in the MICU and 2 in the SICU. The core interventions contained commonly in four units of the medical unit, the surgical unit, the MICU & the SICU are 18. And among these, the core interventions contained in the health insurance cost items are 10; pain management, hyperglycemia management, analgegic administration, medication administration: intravenous, oxygen therapy, pressure ulcer prevention, fluid management, fluide monitoring, intravenous(IV) insertion, intravenous(IV) therapy. As the result of the comparison & analysis between the core interventions of the NIC and the health insurance cost items, the core interventions contained in the health insurance cost list are 21(29 as the health insurance cost items). Conclusion: In the performing frequency of the nursing interventions, the domain of "the physiological: basic" is being performed most frequently, and in the performing frequency of the core interventions, the interventions of the domain of "the physiological: complex" is being performed most frequently. On the basis of these results, the writer hopes that the attempts to interlink the nursing interventions into the nursing cost by using of standard terms and the efforts to cost the nursing services would also be made in the future constantly.

• Tuberculosis and Respiratory Diseases
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• v.78 no.4
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• pp.336-340
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• 2015

Background: Potentially harmful unplanned extubation (UE) may occur in patients on mechanical ventilation (MV) in an intensive care unit (ICU) setting. This study aimed to evaluate the clinical characteristics of UE and its impact on clinical outcomes in patients with MV in a medical ICU (MICU). Methods: We retrospectively evaluated MICU data prospectively collected between December 2011 and May 2014. Results: A total of 468 patients were admitted to the MICU, of whom 450 were on MV. Of the patients on MV, 30 (6.7%) experienced UE; 13 (43.3%) required reintubation after UE, whereas 17 (56.7%) did not require reintubation. Patients who required reintubation had a significantly longer MV duration and ICU stay than did those not requiring reintubation ($19.4{\pm}15.1days$ vs. $5.9{\pm}5.9days$ days and $18.1{\pm}14.2days$ vs. $7.1{\pm}6.5days$, respectively; p<0.05). In addition, mortality rate was significantly higher among patients requiring reintubation than among those not requiring reintubation (54.5% vs. 5.9%; p=0.007). These two groups of patients exhibited no significant differences, within 2 hours after UE, in the fraction of inspired oxygen, blood pressure, heart rate, respiratory rate, and pH. Conclusion: Although reintubation may not always be required in patients with UE, it is associated with a poor outcome after UE.

• Tuberculosis and Respiratory Diseases
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• v.47 no.3
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• pp.356-364
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• 1999

Backgrounds: Previous reports have revealed a high morbidity and mortality in fatal asthma patients, especially those treated in the medical intensive care unit(MICU). But it has not been well known about the predictable factors for the mortality of fatal asthma(F A) with acute respiratory failure. In order to define the predictable factors for the mortality of FA at the admission to MICU, we analyzed the relationship between the clinical parameters and the prognosis of FA patients. Methods: A retrospective analysis of all medical records of 59 patients who had admitted for FA to MICU at a tertiary care MICU from January 1992 to March 1997 was performed. Results: Over all mortality rate was 32.2% and 43 patients were mechanically ventilated. In uni-variate analysis, the death group had significantly older age ($66.2{\pm}10.5$ vs. $51.0{\pm}18.8$ year), lower FVC($59.2{\pm}21.1$ vs. $77.6{\pm}23.3%$) and lower $FEV_1$($41.4{\pm}18.8$ vs. $61.l{\pm}23.30%$), and longer total ventilation time ($255.0{\pm}236.3$ vs. $98.1{\pm}120.4$ hour) (p<0.05) compared with the survival group (PFT: best value of recent 1 year). At MICU admission, there were no significant differences in vital signs, $PaCO_2$, $PaO_2/FiO_2$, and $AaDO_2$, in both groups. However, on the second day of MICU, the death group had significantly more rapid pulse rate ($121.6{\pm}22.3$ vs. $105.2{\pm}19.4$ rate/min), elevated $PaCO_2$ ($50.1{\pm}16.5$ vs. $41.8{\pm}12.2 mm Hg$), lower $PaO_2/FiO_2$, ($160.8{\pm}59.8$ vs. $256.6{\pm}78.3 mm Hg$), higher $AaDO_2$ ($181.5{\pm}79.7$ vs. $98.6{\pm}47.9 mm Hg$), and higher APACHE III score ($57.6{\pm}21.1$ vs. $20.3{\pm}13.2$) than survival group (p<0.05). The death group had more frequently associated with pneumonia and anoxic brain damage at admission, and had more frequently developed sepsis during disease progression than the survival group (p<0.05). Multi-variate analysis using APACHE III score and $PaO_2/FiO_2$, ratio on first and second day, age, sex, and pneumonia combined at admission revealed that APACHE III score (40) and $PaO_2/FiO_2$ ratio (<200) on second day were regarded as predictive factors for the mortality of fatal asthma (p<0.05). Conclusions: APACHE III score ($\geq$40) and $PaO_2/FiO_2$ ratio (<200) on the second day of MICU, which might reflect the response of treatment, rather than initially presented clinical parameters would be more important predictable factors of mortality in patients with FA.

• Journal of Korean Clinical Nursing Research
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• v.18 no.1
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• pp.126-135
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• 2012

Purpose: This study was aimed to develop a simulation training program of an advanced cardiac life support (ACLS) based on the mastery learning model (Simulation-MLM), and evaluate the effects of the program on critical care nurses. Methods: As an experimental pre-post test with a non-equivalent control group, the study employed convenience sampling of 38 critical care nurses. The experimental group received the Simulation-MLM including a theoretical lecture, formative evaluation, and simulation training, whereas only a theoretical lecture for the control group. The knowledge, self-efficacy, and performance degrees of respondents were measured to verify the effects of the Simulation-MLM. The statistical processing of the collected data utilized the SPSS WIN 17.0 program. Results: After receiving Simulation-MLM, the participants in the experimental group reported higher marks in the knowledge, self-efficacy and performance of ACLS compared with those in the control group. However, both experimental and control groups demonstrated no significant differences in knowledge, self-efficacy and performance. Conclusion: Despite of the limitation of a small sample size, this study was considered meaningful in a sense that it showed a venue for improving ACLS training efficiency. Future research with more distinct treatment differentiation and better adequate outcome variables was warranted in order to prove the effects of a theory-based simulation education.

• Journal of Korean Critical Care Nursing
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• v.3 no.2
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• pp.25-35
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• 2010

Purpose: The purpose of this pilot study was to investigate the effect of oral care using 0.1% chlorhexidine and tantum solution on oral status and incidence of oral pathogens among intubated ICU patients. Methods: The study subjects were 26 intubated patients of MICU in a university hospital. Oral care was provided with 0.1% chlorhexidine solution to the experimental group (n=12) and with tantum solution to the control group (n=14), 3 times a day for 6 days. After the intervention, the oral status of each subject was checked using structured method, and oral swab culture was done to count colonized bacterial pathogens. Results: The mean oral status score of experimental group was significantly higher than that of control group (U=42.50, p=.031). The mean incidence of oral pathogens in experimental group was smaller than that of control group, but the difference was not statistically significant. Conclusion: The oral care with 0.1% chlorhexidine solution is more effective than with tantum solution for improving oral status of intubated ICU patients. However, additional studies with larger sample size will be needed to figure out it's effects on the incidence of oral pathogens.