1.Analysis of the characteristics of unplanned admission to the intensive care unit after general surgery
Jaesuk KIM ; Yeong Deok KIM ; Dong Reul LEE ; Kye Min KIM ; Woo Yong LEE ; Sangseok LEE
Anesthesia and Pain Medicine 2019;14(2):230-235
BACKGROUND: Unplanned intensive care unit admission (UIA) is associated with perioperative morbidity and mortality, and can be used as a surrogate marker for patient safety. This study aimed to compare the characteristics of planned and unplanned intensive care unit (ICU) admission groups. METHODS: We retrospectively reviewed the electronic medical records of adult patients admitted to the ICU after abdominal and thyroid surgery under general anesthesia between 2016 and 2017. Preoperative, intraoperative, and postoperative information of enrolled patients was recorded. We compared patients' characteristics and outcomes between the unplanned and planned admission groups. RESULTS: In the total cohort, the proportion of UIA was 82.8% (202/244). In the unplanned admission group, total hospital stay was significantly shorter and ICU stay longer than that in the planned admission group (19.0 and 3.0 days, respectively vs. 28.5 and 2.0 days, respectively). In-hospital mortality rates were 21.3% and 7.1% in the unplanned and planned groups, respectively (P = 0.055). Patients in the UIA group showed higher Acute Physiology And Chronic Health Evaluation II scores, higher American Society of Anesthesiologist physical status class, and more co-morbidities than those in the planned group. There were significant differences in the incidence of UIA among surgery types. CONCLUSIONS: The UIA group had a relatively high mortality rate and longer ICU stay. More critically ill patients tended to be admitted to the ICU without planning.
Adult
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Anesthesia
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Anesthesia, General
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APACHE
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Biomarkers
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Cohort Studies
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Critical Care
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Critical Illness
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Electronic Health Records
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Hospital Mortality
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Humans
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Incidence
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Intensive Care Units
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Length of Stay
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Mortality
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Patient Safety
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Perioperative Care
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Retrospective Studies
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Thyroid Gland
2.Coronary Artery Calcification Quantified by Electron Beam Tomography as a Screening for Coronary Artery Disease in Asymptomatic Non-Insulin-Dependent-Diabetes Mellitus.
Yong Seok YUN ; Yu Mie RHEE ; Dae Keun SIM ; Sung Kwan SIN ; Byung Ku PARK ; Dong Reul RHU ; Seol Hae HAN ; Seok Won PARK ; Young Duk SONG ; Sung Kil LIM ; Kyung Rae KIM ; Hyun Chul LEE ; Se Joong RIM ; Seung Yun CHO ; Kap Bum HUH ; Kye Ok CHOI ; Jong Ho LEE
Korean Journal of Medicine 1999;56(3):317-328
Patients with NIDDM are at increased risk for the development of coronary atherosclerosis and experience more silent myocardial infarction than non-diabetic subjects. The screening tools for early detection of coronary artery disease without significant narrowing has been requested in diabetic patients. Coronary artery calcification (CAC) score, quantified by electron beam computed tomography (EBT), have been reported to correlate with the amount of atherosclerotic plaque and vascular luminal narrowing. We investigated the distribution of CAC score and associated risk factors in asymptomatic NIDDM patients and patients with ischemic heart disease to estimate the usefulness of CAC as a screenig tool for ischemic heart disease in asymptomatic diabetes. METHOD: 136 NIDDM patients without any symptom of coronary artery disease and 37 patients with significant coronary artery stenosis were included. CAC were measured by electron bean tomography (ultrafast CT). Forty contiguous 3-mm thickness transverse two-dimensional sections were obtained through root of aorta and heart. Coronary calcification were defined as the presense of at least two adjacent pixel within the border of visualized coronary artery with CT number of at least 130 HU. Body mass index, waist-hip ratio were measured and body fat components were counted by impedence method. Visceral fat versus subcutaneous fat ratio were calculated by abdominal computed tomography. Plasma lipid profile, fasting insulin, C-peptide level, HbA1c concentration were measured. Correlations between natural log of CAC score and clinical parameters were evaluated and multiple regression analysis with natural log of CAC score as a independent variable was performed. Coronary angiography were performed in 17 asymptomatic NIDDM patients.. RESULT: CAC score was significantly higher in male than female subjects and increased significantly with aging (p<0.01). In patients with hypertension, previous history of cerebrovascular or peripheral vascular disease (p<0.05), CAC score was significantly increased. The CAC score showed significant positive correlations with smoking amount, duration of diabetes and a negative correlation with HDL-cholesterol (p<0.05). There were no association between CAC score and total cholesterol, LDL-cholesterol, waist to hip circumference ratio, or fasting insulin levels. After adjustment of compounding variables (age, sex), duration of diabetes, amount of smoking and previous history of atherosclerotic vascular disease were shown to be associated with CAC score. In multiple logistic regression analysis with natural log of CAC score as dependent variable, age, HDL-cholesterol, duration of diabetes, male gender were found to be significant independent variables. Seventeen diabetic patients with high CAC score, were taken coronary angiography and significant luminal narrowings (more than 50%) of coronary artery were documented in 16 patients. But, In 7 out of 17 patients with coronary one-vessel disease, coronary calcification were not detected by EBT. CONCLUSION: coronary artery calcium score quantified by electron beam computed tomography may be useful for screening of preclinical or asymptomatic coronary artery disease in asymptomatic NIDDM patients.
Adipose Tissue
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Aging
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Aorta
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Body Mass Index
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C-Peptide
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Calcium
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Cholesterol
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Coronary Angiography
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Coronary Artery Disease*
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Coronary Disease
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Coronary Stenosis
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Coronary Vessels*
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Diabetes Mellitus
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Diabetes Mellitus, Type 2
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Fasting
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Female
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Heart
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Hip
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Humans
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Hypertension
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Insulin
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Intra-Abdominal Fat
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Logistic Models
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Male
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Mass Screening*
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Myocardial Infarction
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Myocardial Ischemia
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Peripheral Vascular Diseases
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Phenobarbital
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Plaque, Atherosclerotic
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Plasma
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Risk Factors
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Smoke
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Smoking
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Subcutaneous Fat
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Tomography, X-Ray Computed*
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Vascular Diseases
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Waist-Hip Ratio