• Journal of Neurocritical Care
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• v.11 no.2
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• pp.81-85
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• 2018

Proper glucose management in hospitalized patients can improve clinical outcomes. In particular, intensive care unit (ICU) patients are known to have significantly higher rates of mortality from changes in blood glucose due to severe comorbidities. Improving glucose control in ICU patients, therefore, can improve mortality and prognosis. Several studies related to the management of blood glucose in the ICU patients have been conducted. Intensive glucose management of surgical ICU patients has been successful. However, studies on medical ICU patients did not demonstrate positive effects of strict glycemic control. There is no independent glucose management goal for neurological ICU patients. However, maintenance of the usual glucose control target of 140-180 mg/dL is recommended for ICU patients. Intravenous insulin infusion is essential for glucose control in ICU patients not consuming a regular diet, and caution should be exercised to prevent hypoglycemia.

• Journal of Korean Clinical Nursing Research
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• v.14 no.1
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• pp.151-160
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• 2008

Purpose: The purpose of this study was to investigate factors related to delirium occurrence in the ICU patients. Method: The sample were 99 patients in the ICU in a university affiliated hospital located in Kyunggi-do. Data were collected from September $1^{st}$ to October $31^{st}$, 2006. The instrument, CAM-ICU developed by Ely et al.(2001) was utilized. Data were analyzed by SPSS 13.0 for descriptive statistics, t-test, chi-square and multiple regression. Results: The delirium in the ICU patients was occurred in 22 (22.2%) out of 99 patients. There were significant differences in factors related to delirium occurrence, such as past medical history, long hospitalization, long ICU hospitalization, restraints, intubation or tracheostomy experience, ventilator experience, high pain score, and high anxiety score. Duration of ICU hospitalization, level of anxiety and past medical history were the significant predictors of the delirium occurrence(${\ss}$=44.5%). Conclusion: This study results recommend that specific nursing strategies needed to be developed to increase the detection of delirium in the ICU patients. The ICU nurses should recognize the incidence of delirium and prevent it in ICU settings.

• Journal of Korean Clinical Nursing Research
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• v.16 no.3
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• pp.85-98
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• 2010

Purpose: This study was aimed to investigate the awareness and attitudes towards withdrawal of the life-sustaining treatment among nurses, physicians, and the families of intensive care unit (ICU) patients in general hospitals. Methods: The data were collected using a questionnaire from 80 ICU nurses, 80 physicians, and 80 families of ICU patients in general hospitals. Data were collected from February 22nd to May 31st, 2010. Rusults: ICU nurses, physicians, and families of ICU patients felt that objective and ethical guidelines were needed in making a decision to withdraw the life-sustaining treatment. The main reason for withdrawal of the life-sustaining treatment was found that the patients could not recovered despite many efforts. The role of nurses in decision making process on withdrawal of the life-sustaining treatment was considered very positive from the view of physicians and family members. The most important role of nurses for those patients in ICU was found to try their best to care for the patients. Conclusion: ICU nurses should play a major coordinating role in communication among patients, their families, and medical teams. Also, an appropriate roles of nurses in the process of the withdrawal of the life-sustaining treatment should be established.

• International Journal of Advanced Culture Technology
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• v.7 no.2
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• pp.13-18
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• 2019

Comorbidity isthe simultaneous presence of two chronic diseases or conditions in a patient. As part of a larger research study, the aims of this study were to explore comorbid conditions in intensive care unit (ICU) patients and to compare the comorbidity across different demographic groups, and to determine what comorbid health problems coexisted in the patients with hospital-acquired pressure injury (HAPI). The average number of comorbid conditions was 6.4 with range from 0-20 in the ICU patients. African American patients had significantly more comorbid health problems than other race/ethnicity groups. Asian and Hispanic female patients showed higher comorbidity than male patients across age. The patients with HAPIs had significantly more comorbid health problems than the patients without HAPIs -- the average numbers were almost two-fold. We found comorbid health problems that existed with HAPI in ICU patients. 'Other diseases of lung' and 'Disorders of fluid, electrolyte, and acid-base balance' were most frequently coexisting health problems in the ICU patients with HAPI. Exploratory plots are helpful to discover patterns or hypotheses relevant to clinical management in critical care. Inclusion of patients' comorbid health problems to ICU HAPI risk assessment may be helpful. Identification of patients at a high risk for the development of HAPI and the early preventative interventions can help reduce length of stay as well as costly complications.

• Quality Improvement in Health Care
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• v.10 no.1
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• pp.28-41
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• 2003

Background : Because unplanned readmissions to intensive care unit(ICU)might be related with undesirable patient outcomes, we investigated the pattern of and reason for unplanned ICU readmission to provide baseline data for reducing unplanned returns to ICU. Methods : The subjects included all patients who readmitted to ICU during the same hospitalization at a tertiary referral hospital between January 1st and June 30th 2002. Quality improvement(QI) nurse collected the data through medical records and a medical director reviewed the data collected. Results : 1) The average unplanned ICU readmission rate was 5.6%(gastroenterology 14.6%, pediatrics 12.7%, pulmonology 11.9%, neurosurgery 6.3%, general surgery 5.3%, chest surgery 3.9%, and cardiology 3.3%). 2) Among the unplanned readmissions, more than 50% of cases were from patients older than 60 years, and the main categories of diagnose at hospital admission were neurologic disease(29.9%) and cardiovascular disease(27.6%). 3) Of unplanned ICU readmissions, 41.8% had recurrence of the initial problems, 44.8% had occurrence of new problems. And 9.7% required post-operative care after unplanned operations. 4) The most common cause responsible for unplanned ICU readmission were respiratory problem(38.3%) and cardiovascular problem(14.3%). 5) About 40% of unplanned ICU readmission occurred within 3 days after ICU discharge. 6) Average length of stay of the readmitted patients to ICUs were much longer than that of non-readmitted patients. 7) Hospital mortality rate was much higher for unplanned ICU readmitted patients(23.6%) than for non-readmitted patients(1.5%) (P<0.001). Conclusions : This study showed that the unplanned ICU readmitted patients had poor outcomes(high morality and increased length of stay). In addition study results suggest that more attention should be paid to patients in ICU with poor respiratory function or elderly patients, and careful clinical decisions are required at discharged from ICU to general ward.

• Journal of Korean Critical Care Nursing
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• v.13 no.3
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• pp.75-85
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• 2020

Purpose : This study aimed to identify the prevalence and risk factors of cognitive impairment in survivors discharged from the intensive care unit (ICU). Methods : This secondary analysis study utilized data from a multicenter prospective cohort of post-ICU patients. We analyzed the data of 175 patients enrolled in the primary cohort who completed the cognitive function evaluation three months after ICU discharge. Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA) scale. The cut-off points for cognitive impairment were < 23 for face-to-face evaluation and < 18 for telephone evaluation. Results : The prevalence of cognitive impairment three months after ICU discharge was 32.6%. Significant risk factors for cognitive impairment were age ≥ 60 years (OR=10.52, 95% CI=3.65~30.33, p<.001), education < high school graduation (OR=2.53, 95% CI=1.07~6.01, p=.035), unplanned ICU admission (OR=4.01, 95% CI=1.45-11.14, p=.008), and delirium in the ICU (OR=4.33, 95% CI=1.08-17.23, p=.038). Conclusion : ICU nurses should use preemptive strategies to reduce post-ICU cognitive impairment of patients with risk factors. It is necessary to frequently assess and detect early delirium in critically ill patients, while attempting various non-pharmacological interventions.

• Acute and Critical Care
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• v.33 no.4
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• pp.230-237
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• 2018

Background: Socioeconomic status (SES) is closely associated with health outcomes, including mortality in critically ill patients admitted to intensive care unit (ICU). However, research regarding this issue is lacking, especially in countries where the National Health Insurance System is mainly responsible for health care. This study aimed to investigate how the SES of ICU patients in South Korea is associated with mortality. Methods: This was a retrospective observational study of adult patients aged ${\geq}20$ years admitted to ICU. Associations between SES-related factors recorded at the time of ICU admission and 30-day and 1-year mortalities were analyzed using univariable and multivariable Cox regression analyses. Results: A total of 6,008 patients were included. Of these, 394 (6.6%) died within 30 days of ICU admission, and 1,125 (18.7%) died within 1 year. Multivariable Cox regression analysis found no significant associations between 30-day mortality after ICU admission and SES factors (P>0.05). However, occupation was significantly associated with 1-year mortality after ICU admission. Conclusions: Our study shows that 30-day mortality after ICU admission is not associated with SES in the National Health Insurance coverage setting. However, occupation was associated with 1-year mortality after ICU admission.

• Tuberculosis and Respiratory Diseases
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• v.87 no.3
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• pp.338-348
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• 2024

Background: Increasing age has been observed among patients admitted to the intensive care unit (ICU). Age traditionally considered a risk factor for ICU mortality. We investigated how the epidemiology and clinical outcomes of older ICU patients have changed over a decade. Methods: We analyzed patients admitted to the ICU at a university hospital in Seoul, South Korea. We defined patients aged 65 and older as older patients. Changes in age groups and mortality risk factors over the study period were analyzed. Results: A total of 32,322 patients were enrolled who aged ≥65 years admitted to the ICUs between January 1, 2007, and December 31, 2017. Patients aged ≥65 years accounted for 35% and of these, the older (O, 65 to 74 years) comprised 19,630 (66.5%), very older (VO, 75 to 84 years) group 8,573 (29.1%), and very very older (VVO, ≥85 years) group 1,300 (4.4%). The mean age of ICU patients over the study period increased (71.9±5.6 years in 2007 vs. 73.2±6.1 years in 2017) and the proportions of the VO and VVO group both increased. Over the period, the proportion of female increased (37.9% in 2007 vs. 43.3% in 2017), and increased ICU admissions for medical reasons (39.7% in 2007 vs. 40.2% in 2017). In-hospital mortality declined across all older age groups, from 10.3% in 2007 to 7.6% in 2017. Hospital length of stay (LOS) decreased in all groups, but ICU LOS decreased only in the O and VO groups. Conclusion: The study indicates a changing demographic in ICUs with an increase in older patients, and suggests a need for customized ICU treatment strategies and resources.

• The Journal of Korean Academic Society of Nursing Education
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• v.8 no.1
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• pp.155-166
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• 2002

This study was performed to figure out the level of anxiety and relating factors of ICU patients as the hospitalization in ICU grows more recently. Data collection was conducted from July 1st to August 31st, 2001. The subjects of this study were consisted of 101 ICU patients who were selected according to the criteria in S hospital, C city. The instruments of the research were consisted of 14 questions of general characteristics, 20 items of STAI, VAS, 24 questions for the anxiety relating factors. And data were analyzed by t-test, ANOVA, and pearson correlation for group difference and correlation with SPSS Win 10.0 program. The followings were the results of the study: 1. In the anxiety level, mean score on STAI was 53.7(item mean $2.69{\pm}.83$), and mean score on VAS was 5.23. It means that the anxiety level of ICU patients was moderate. 2. Among the relating factors of anxiety, the most highest scores were 'by seeing other patient's emergency situation' and 'by seeing other patient's death' figured 3.85 and 3.79 each. And the lowest marks were 'by the unkind behavior of doctors and nurses'(2.13) and 'nurses' or doctors' indifferent actions'(2.21). And the anxiety according to the environmental factor was the highest (3.17) and the anxiety regarding to the human relationship was the lowest (2.53). 3. In the anxiety level STAI according to the general characteristics, the patients who didn't have to take care of their family showed more anxiety than who had to take care of their family(t=-2.38, p=.02). And the variables that shows a significant difference on VAS was sex and women's anxiety was higher than men's level (t=-2.56, p=.01). 4. When the physical anxiety level was compared, the patients who had to take care of their family showed more anxiety than the people who didn't have to take care of their family(t=-1.95, p=.05). In the level of anxiety relating the human relationship, the patients who had religion showed more anxiety than patients who didn't(t=2.43 p=.02). And the married patients(t=2.43, p=.01) and more educated people(F=3.77, p=.01) showed more anxiety. Even though environmental anxiety was the highest factor, it was not significant with general characteristics. 5. The anxiety and relating factors showed positive significant relationship, and physical anxiety factor showed the strongest relation with STAI(r=.21, p<.01). And VAS level showed stronger relation with every factor of the anxiety than STAI. When the VAS level became higher, the anxiety relating to physical factor(r=.72, p<.01), human relationship(r=.63, P<.01), and environment became higher. According to the above result, the environmental anxiety was the highest level than other factors in ICU patient and thus the environmental nursing intervention becomes very important in ICU. Also nurses in ICU have to support the patients who showed higher level of anxiety in this study and try to develop the nursing intervention to relieve the anxiety of patients. And it is recommended that VAS is convenient and practical instrument for measuring the anxiety level in ICU patients.

• Tuberculosis and Respiratory Diseases
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• v.85 no.2
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• pp.195-201
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• 2022

Background: The aim of this study was to evaluate the long-term (5-year) clinical outcomes of patients who received intensive care unit (ICU) treatment using Korean nationwide data. Methods: All patients aged >18 years with ICU admission according to Korean claims data from January 2008 to December 2010 were enrolled. These enrolled patients were followed up until December 2015. The primary outcome was ICU mortality. Results: Among all critically ill patients admitted to the ICU (n=323,765), patients with cancer showed higher ICU mortality (18.6%) than those without cancer (13.2%, p<0.001). However, there was no significant difference in ICU mortality at day 28 among patients without cancer (14.5%) and those with cancer (lung cancer or hematologic malignancies) (14.3%). Compared to patients without cancer, hazard ratios of those with cancer for ICU mortality at 5 years were: 1.90 (1.87-1.94) for lung cancer; 1.44 (1.43-1.46) for other solid cancers; and 3.05 (2.95-3.16) for hematologic malignancies. Conclusion: This study showed that the long-term survival rate of patients with cancer was significantly worse than that of general critically ill patients. However, short term outcomes of critically ill patients with cancer were not significantly different from those of general patients, except for those with lung cancer or hematologic malignancies.