• Journal of Korean Academy of Nursing
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• v.28 no.2
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• pp.457-467
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• 1998

The purpose of this research was to identify nursing interventions performed by MICU and SICU nurses. For data collection this study used the taxonomy of the Nursing Interventions Classification (NIC : 433 nursing interventions) which was modified by McCloskey and Bulecheck(1996). Each of the 433 interventions were identified as used by MICU and SICU nurses. More than 50% of the ICU nurses performed 280 nursing interventions at least monthly. Rarely used interventions included 26 nursing interventions in the childbearing care class. Overall, both MICU and SICU nurses used interventions in the Physiological : Complex domain most often on a daily basis and the interventions in the Family domain least often. The most frequently reported interventions as being used daily in the MICU were chest physiotherapy, airway suctioning and coughing enhancement and, in the SICU, documentation and airway suctioning. There were significant differences between MICU and SICU nurses in 17 nursing interventions childbearing care, cognitive therapy, communication enhancement, coping assistance, elimination management, lifespan care, health system mediation, immobility management, medication management, neurologic management, patient education, psychological comfort promotion, physical comfort promotion, respiratory management, risk management and information management. The SICU nurses performed there interventions more frequently than the MICU nurses. These findings will help in building of a standardized language for the MICU and SICU and enhance the quality of nursing care.

• Journal of Korean Academy of Nursing
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• v.30 no.5
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• pp.1243-1253
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• 2000

The purpose of this study was to verify the validity of the Patient Severity Classification Tool by examining the correlations between the APACHE Ⅲ and the Patient Severity Classification Tool and to propose admission criteria to the ICU. The instruments used for this study were the APACHE Ⅲ developed by Knaus and the Patient Severity Classification Tool developed by Korean Clinical Nurses Association. Data was collected from the 156 Medical ICU patients during their first 24 hours of admission at the Seoul National University Hospital by three trained Medical ICU nurses from April 20 to August 31 1999. Data were analyzed using the frequency, $x^2$, Wilcoxon rank sum test, and Spearman rho. There was statistically significant correlations between the scores of the APACHE III and the Patient Severity Classification Tool. Mortality rate was increased as patients classification of severity in both the APACHE III and the Patient Severity Classification Tool scored higher. The Patient Severity Classification Tool was proved to be a valid and reliable tool, and a useful tool as one of the severity predicting factors, ICU admission criteria, information sharing between ICUs, quality evaluations of ICUs, and ICU nurse staffing.

• Tuberculosis and Respiratory Diseases
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• v.66 no.1
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• pp.27-32
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• 2009

Background: The management of patients with lung cancer has improved recently, and many of them will require admission to the medical intensive care unit (MICU). The aim of this study was to examine the clinical characteristics and to identify risk factors for mortality in patients with lung cancer admitted to the MICU. Methods: We conducted retrospective analysis on 88 patients with lung cancer admitted to the MICU between April 2004 and March 2008. Results: Of the 88 patients (mean age, 66 years), 71 patients (80.7%) had non-small cell lung cancer and 17 patients (19.3%) had small cell lung cancer. Distant metastasis were present in 79 patients (89.8%). The main reasons for MICU admission were acute respiratory failure (77.3%), sepsis (11.4%), and central nervous system dysfunction (4.5%). Mechanical ventilation was used in 54 patients (61.4%). Acute Physiology and Chronic Health Evaluation (APACHE) II score, length of MICU stay, need for mechanical ventilation, source of MICU admission were correlated with MICU mortality. The type of lung cancer and metastasis were not predictive factors of death in MICU. Conclusion: Most common reason for ICU admission was acute respiratory failure. Mortality rate of lung cancer patients admitted to the MICU was 65.9%. APACHE II score, length of ICU stay, need for mechanical ventilation, source of MICU admission were predicted factors of death in the MICU.

• Journal of Life Science
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• v.26 no.11
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• pp.1232-1236
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• 2016

Mitochondrial calcium uptake 1 (MICU1) including two canonical EF hands, located in the mitochondrial inner membrane, is known to play a crucial role in the calcium uptake in mitochondria. Mitochondrial calcium uptake in muscular cells is related to post mortem shortening by calcium release from muscles. Therefore, the porcine MICU1 gene has been estimated as a genetic candidate for meat quality traits. In this study, variations on the exonic regions of the porcine MICU1 gene were investigated by sequencing cDNAs and tested for their association with meat quality traits. A total of 667 Berkshire heads (347 sows and 320 castrated boars) were used for this association test. Three SNPs were detected on the 3' untranslated region (UTR) of the porcine MICU1 gene. SNP1 (c.*136G>A) was associated with drip loss (p=0.017) and intramuscular fat content (p=0.039). In addition, SNP2 (c.*222G>A) and SNP3 (c.*485G>A) were associated with drip loss (p=0.018) and intramuscular fat content (p<0.001), respectively. In conclusion, it was verified that three variations on the 3' UTR of the porcine MICU1 gene were significantly associated with meat quality traits. It was also suggested that molecular biological analyses are needed to validate the function of variations on the 3 UTR of the porcine MICU1 gene.

• Tuberculosis and Respiratory Diseases
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• v.42 no.4
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• pp.535-547
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• 1995

Background: Intensive care units(ICUs) probably represent the single largest identifiable source of infection within the hospital. Although there are several studies on ICU infections in respect to their bacteriology or mortality rate for individual types of ICU, few studies have compared ICU infections between different types of ICU. The aim of this study was to identify clinical differences in bacteremia between medical ICU(MICU) and surgical ICU(SICU) patients. Methods: 256 patients with bacteremia were retrospectively evaluated. Medical records were reviewed to obtain the clinical and bacteriologic informations. Results: 1) The mean age of the patients with bacteremia of MICU($58.6{\pm}17.2\;yr$) was greater than that of all MICU patients($54.3{\pm}17.1\;yr$)(p<0.01), but there was no significant difference in SICU patients(patients with bacteremia of SICU: $56.3{\pm}18.6\;yr$, all SICU patients: $62.0{\pm}16.8$)(p>0.05). ICU stay was longer(MICU patients: $23.4{\pm}40.8$ day, SICU patients: $30.3{\pm}26.8$ day) than the mean stay of all patients($6.8{\pm}15.5$ day)(p<0.05, respectively). Bacteremia of both ICU patients developed past the average day of ICU stay(all MICU patients: 7.9 day, all SICU patients: 6.0 day, MICU bacteremia: 19th day, SICU bacteremia: 17th day of ICU stay)(p<0.05, respectively). 2) There were no significant differences in mean age, sex, and length of stay of both ICU patients with bacteremia. 3) Use of antibiotics or steroid, use of percutaneous devices and invasive procedures before development of bacteremia were more frequent in SICU patients than in MICU patients(prior antibiotics use: MICU 45%, SICU 63%, p<0.05; steroid use: MICU 14%, SICU 36%, p<0.01; use of percutaneous devices: MICU 19%, SICU 39%, p<0.01; invasive procedures: MICU 19%, SICU 61 %, p<0.01). 4) The prevalence of community acquired infections was significantly higher in MICU patients than in SICU patients(MICU 42%, SICU 9%)(p<0.01), whereas SICU patients showed higher prevalence of ICU-acquired infection than MICU patients(MICU 48%, SICU 78%)(p<0.01). 5) There were no differences in causative organisms, primary sites of infection and time interval to bacteremia between both ICUs. 6) There were no significant differences in outcome according to pathogenic organisms or primary sites of infection. 7) The mortality rate was higher in patients with bacteremia than without bacteremia(MICU mortality rate: patients with bacteremia 72.5%, patients without bacteremia 36.0%, p<0.01; SICU mortality rate: patients with bacteremia 40.3%, patients without bacteremia 8.5%, p<0.05), and the mortality rate of MICU bacteremia was significantly higher compared with that of SICU bacteremia(MICU 72.5%, SICU 40.3%)(p<0.01). Conclusion: ICU patients with bacteremia stayed longer before the development of bacteremia, and showed higher mortality than the overall ICU population. The incidence of bacteremia was higher in MICU patients than SICU patients. MICU patients with bacteremia showed higher prevalence of liver diseases and acute respiratory failure, community-acquired bacteremia and greater mortality rate than SICU patients with bacteremia. SICU patients with bacteremia, on the other hand, showed higher prevalence of trauma, prior use of immunosuppressive agents, invasive procedures, and ICU-acquired bacteremia, and lower mortality rate than MICU patients with bacteremia.

• Journal of Korean Clinical Nursing Research
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• v.19 no.3
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• pp.357-368
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• 2013

Purpose: The purpose of this study was to investigate risk factors related to delirium and to develop screening model on delirium occurrence in MICU (Medical Intensive Care Unit) patients. Methods: For developing a preliminary tool for delirium, the data of 166 patients were collected and analyzed. In order to estimate the accuracy and discriminating power for the developed screening model, 98 patients were enrolled. The data used in this study were collected by EMR (Electronic Medical Record) review from January to September in 2012. The collected data were analyzed using SPSS/PC Win 18.0 program. Results: Screening model on delirium in MICU patients was developed using the results of logistic regression. The total score of screening model was 24 point and measuring point was 10 point. When the measuring point is over 10 point, it means that the risk of delirium occurrence is high. The discriminating power and the validity of screening model showed AUC .908 (p <.001) and .935 (p <.001) respectively. This result showed that the screening model on delirium which developed in this study was an appropriate model for screening the delirium risk group in MICU. The sensitivity of the screening model was 83%, specificity 89% and accuracy 84%. Conclusion: The developed screening model on delirium occurrence in MICU should be combined with EMR for screening and preventing delirium in a high risk group.

• Korean Journal of Clinical Pharmacy
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• v.27 no.2
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• pp.77-82
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• 2017

Background: Clostridium difficile associated diarrhea (CDAD) is a leading cause of hospital-associated gastrointestinal illness. Risk factors for CDAD include advanced age, long-term admission, antibiotics, proton-pump inhibitor or $H_2$ blocker use and immunosuppression. The practice guideline of American Journal of Gastroenterology (2013) suggests metronidazole for the first-line therapy of mild-moderate CDAD as well as vancomycin for severe CDAD. MICU inpatients receiving stress ulcer prophylaxis and antibiotics are susceptible to nosocomial CDAD. Therefore, this study aimed to evaluate occurrence and treatment of CDAD in MICU. Methods: Patients who were admitted to the MICU and had CDAD from August 2012 to August 2015 were analyzed retrospectively. Results: Of the 90 patients with CDAD, 20 patients (2.22%) had mild-moderate CDAD (16 received metronidazole and 4 received vancomycin therapy) and 70 patients (77.8%) had severe CDAD(54 received metronidazole and 16 received vancomycin therapy). Among the patients with mild- moderate CDAD, treatment with metronidazole or vancomycin resulted in same clinical cure in 50% of the patients (p=1.00). Among the patients with severe CDAD, treatment with metronidazole or vancomycin resulted in clinical cure in 40.7% and 50.0% of the patients, respectively (p=0.511). Clinical symptoms recurred in 7.4% of the severe CDAD patients treated with metronidazole and 6.3% of those treated with vancomycin(p=0.875). Conclusion: Our findings suggest that metronidazole and vancomycin are equally effective for the treatment of mild-moderate CDAD; however, vancomycin demonstrated higher clinical cure rate and lower recurrence rate for severe CDAD, although the difference was not statistically significant. For better clinical outcomes, appropriate medication use by disease severity is needed.

• Quality Improvement in Health Care
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• v.15 no.1
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• pp.73-78
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• 2009

문제: 오늘날 간호사는 과거와 달리 현대적 보건의료 요구를 해결할 수 있는 체계적인 이론과 기술을 습득하도록 훈련된 고급 전문 인력이고, 간호행위를 생산하기 위해서는 서비스의 생산원가 뿐만 아니라 전문 인력으로서의 훈련 및 유지비용 등도 투입되어야만 가능하게 함으로서 2008년 7월부터 시행한 중환자실 간호등급에 따른 간호수가 책정으로 인해 중환자실 내에서 이루어지고 있는 많은 간호행위 중 수가를 받을 수 있는 부분이 생기게 되었고 간호행위의 중요성과 더불어 간호를 시행 후 받을 수 있는 수가에 대한 간호사들의 입력에 대한 의무도 늘어나게 되었다. 이에 빈번히 누락되고 있는 간호수가 관리를 통한 경제적 손실을 방지해야 할 필요성을 느껴 개선활동을 하고자 한다. 목적: 2008년 7월부터 시행한 중환자실 간호등급에 따른 간호수가 책정으로 인해 중환자실내에서 이루어지고 있는 간호 행위의 중요성을 인식하고 구체적인 문제 분석과 간호 현장에서의 개선안을 도출함으로써 경제적 손실을 방지할 수 있는 간호수가 누락률을 감소시키고자 함이다. 의료기관: 대구파티마병원 내과 중환자실. 질 향상 활동: 업무개선의 방법으로 환자 개인별 간호수가 입력 누락 방지 체크 리스트 사용 및 처방 전달 시스템의 간호수가 재입력 화면을 이용하여 입력의 용이성 도모하였고 입력된 간호수가를 처방 전달 시스템 간호수가 조회 프로그램을 이용해 익일 누락여부를 매일 모니터링 하였다. 교육 및 홍보활동으로는 간호수가 입력누락 방지를 위한 간호수가 입력 지침을 제작하여 전체간호사는 년 2회, 신규간호사는 개별 교육을 실시하였으며, 월별 간호수가 누락통계를 실명 공고 하여 간호수가 다 빈도 누락 간호사는 추가 개별교육을 실시하였다. 개선효과: 간호수가 입력 프로세스 개선을 통해 간호수가 평균 누락률이 개선 전 6.5%, 개선 후 1.2%로 5.3%의 누락 감소율을 보였으며 역치 5%를 달성하였고 간호수가 누락금액은 개선 전 2,992,752원, 개선 후 590,787원으로 2,401,965원의 누락 효과 비용을 구할 수 있었다. 본 QA활동으로 중환자실 간호수가 전산입력에 대한 체계적인 교육부재와 신규간호사들의 잦은 전산누락이 있어왔으나 표준화 된 체크리스트 지침과 입력확인 작업으로 전산입력 누락률이 감소하는 효과를 가져왔다. 추후 심평원 청구 작업을 하는 부서와 연계되어 실제 청구 누락률에 대한 비교와 간호사 근무연수와 간호수가 입력 누락률에 대한 상관관계 조사를 제언 해 본다.

• Korean Journal of Adult Nursing
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• v.13 no.2
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• pp.340-349
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• 2001

The purpose of this study was to investigate the effect of a hand massage program on anxiety, vital sign and pain in clients with ischemic heart disease. The design utilized for this study was quasi-experimental with a nonequivalent control group non-synchronized design The subjects were fifty-four patients, twenty-eight for the experimental and twenty-six for the control group, who were admitted with ischemic heart diease at a cardiac intensive care unit in K medical center of K university. This study was carried out from May, 1999 to March, 2000. The level of anxiety and pain measured by Visual Analogue Scale, systolic blood pressure, diastolic blood pressure and pulse rate were measured before and after hand massage, the state of Anxiety was measured by the Spielberger (1970) scale at admission and after hand massage for three days. The collected data were processed by using the SPSS PC program and analyzed using $\chi^2$-test and t-test. The result of this study are as follows : 1. The scores of VAS anxiety and State of anxiety of the experimental group were lower than those of the control group. 2. The degree of systolic blood pressure, diastolic blood pressure and pulse rate of the experimental group were lower than that of the control group. 3. The score of VAS pain of the experimental group was lower than that of the control group. The results suggested that hand massage can decrease VAS anxiety, State of anxiety, vital signs and VAS pain of patients who were admitted with ischemic heart disease at cardiac intensive care unit Therefore, it is proposed that hand massage is an appropriate nursing intervention to relieve anxiety of the patients who were admitted with ischemic heart disease at a cardiac intensive care unit.

• Journal of Korean Clinical Nursing Research
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• v.18 no.1
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• pp.149-158
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• 2012

Purpose: The purpose of this study was to investigate incidence and factors related to diarrhea in an intensive care unit (ICU). Methods: Retrospective correlational design was used. Data were collected from reviewing medical records of 210 patients stayed at an ICU in one university hospital, Seoul. Patients were included in the study if they 1) had no gastrointestinal disorders or fecal incontinence before coming to the ICU, 2) stayed longer than 5 days at the ICU, 3) were not on stool softners, 4) were without abdominal surgery, and 5) were 20-year-old or older. Results: The incidence of diarrhea was 27.1%. Durations of ICU stay, antibiotics administration, and enteral feeding were found to be statistically significant factors correlated with diarrhea. The enteral feeding was the significant predictors of the diarrhea in ICU. Conclusion: Since characteristics of diarrhea in ICU patients is shown to be multifactorial, nursing strategies for evaluating and managing related factors are recommended.