1.Temperature Difference between Brain and Axilla according to Body Temperature in the Patient with Brain Injury
Jong-Yang OH ; Kwangwook JO ; Wonil JOO ; Do-Sung YOO ; Haekwan PARK
Korean Journal of Neurotrauma 2020;16(2):147-156
Objective:
Commonly, brain temperature is estimated from measurements of body temperature. However, temperature difference between brain and body is still controversy.The objective of this study is to know temperature gradient between the brain and axilla according to body temperature in the patient with brain injury.
Methods:
A total of 135 patients who had undergone cranial operation and had the thermal diffusion flow meter (TDF) insert were included in this analysis. The brain and axilla temperatures were measured simultaneously every 2 hours with TDF (2 kinds of devices:SABER 2000 and Hemedex) and a mercury thermometer. Saved data were divided into 3 groups according to axillary temperature. Three groups are hypothermia group (less than 36.4°C), normothermia group (between 36.5°C and 37.5°C), and hyperthermia group (more than 37.6°C).
Results:
The temperature difference between brain temperature and axillary temperature was 0.93±0.50°C in all data pairs, whereas it was 1.28±0.56°C in hypothermia, 0.87±0.43°C in normothermia, and 0.71±0.41°C in hyperthermia. The temperature difference was statistically significant between the hypothermia and normothermia groups (p=0.000), but not between the normothermia and hyperthermia group (p=0.201).
Conclusion
This study show that brain temperature is significantly higher than the axillary temperature and hypothermia therapy is associated with large brain-axilla temperature gradients. If you do not have a special brain temperature measuring device, the results of this study will help predict brain temperature by measuring axillary temperature.
2.Spontaneous Spinal Subdural Hematoma Concurrent with Cranial Subdural Hematoma.
Wonjun MOON ; Wonil JOO ; Jeongki CHOUGH ; Haekwan PARK
Journal of Korean Neurosurgical Society 2013;54(1):68-70
A 39-year old female presented with chronic spinal subdural hematoma manifesting as low back pain and radiating pain from both legs. Magnetic resonance imaging (MRI) showed spinal subdural hematoma (SDH) extending from L4 to S2 leading to severe central spinal canal stenosis. One day after admission, she complained of nausea and severe headache. Computed tomography of the brain revealed chronic SDH associated with midline shift. Intracranial chronic SDH was evacuated through two burr holes. Back pain and radiating leg pain derived from the spinal SDH diminished about 2 weeks after admission and spinal SDH was completely resolved on MRI obtained 3 months after onset. Physicians should be aware of such a condition and check the possibility of concurrent cranial SDH in patients with spinal SDH, especially with non-traumatic origin.
Back Pain
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Brain
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Constriction, Pathologic
;
Female
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Headache
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Hematoma, Subdural
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Hematoma, Subdural, Spinal
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Humans
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Leg
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Low Back Pain
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Magnetic Resonance Imaging
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Nausea
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Spinal Canal
3.The Inter-Rater Reliability of Simplified Acute Physiology Score 3 (SAPS3) among Intensive Care Unit Nurses.
Jun Hyun KIM ; Ji Yeon KIM ; Wonil KIM ; Kyung Woo KIM ; Sang Il LEE ; Kyung Tae KIM ; Jang Su PARK ; Won Joo CHOE ; Jung Won KIM
Korean Journal of Critical Care Medicine 2015;30(1):8-12
BACKGROUND: Simplified acute physiology score 3 (SAPS3) was developed in 2005 to evaluate intensive care unit (ICU) performance and to predict patient mortality or disease severity. The score is usually calculated by doctors, but it requires substantial human resources. And many nurse-lead studies use this scoring system. In the present study, we examined the inter-rater reliability of SAPS3 among nurses in an ICU. METHODS: Five ICU nurses who worked in an ICU for a mean length of 7.8 years were educated for 2 hours about SAPS3 score and its components. Each nurse scored 26 patients, and the intraclass correlation coefficient (ICC) of the total scores and each subset were evaluated. RESULTS: The ICC (95% confidence interval) of SAPS3 score was 0.89 (0.82-0.95), that of subset I was 0.90 (0.82-0.95), subset II was 0.54 (0.35-0.73), and subset III was 0.95 (0.91-0.97). The ICC of predicted mortality was 0.91 (0.85-0.96). CONCLUSIONS: The ICC of SAPS3 score and predicted mortality among ICU nurses were reliable. According to these ICC values, SAPS3 score is a reliable scale to be used by nurses. The ICC of subset II was lower than those of the other subsets, suggesting that education of SAPS3 should focus on the definition of each subset II component.
Critical Care
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Education
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Humans
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Intensive Care Units*
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Mortality
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Observer Variation
;
Physiology*
;
Severity of Illness Index
4.The Inter-Rater Reliability of Simplified Acute Physiology Score 3 (SAPS3) among Intensive Care Unit Nurses
Jun Hyun KIM ; Ji Yeon KIM ; Wonil KIM ; Kyung Woo KIM ; Sang Il LEE ; Kyung Tae KIM ; Jang Su PARK ; Won Joo CHOE ; Jung Won KIM
The Korean Journal of Critical Care Medicine 2015;30(1):8-12
BACKGROUND: Simplified acute physiology score 3 (SAPS3) was developed in 2005 to evaluate intensive care unit (ICU) performance and to predict patient mortality or disease severity. The score is usually calculated by doctors, but it requires substantial human resources. And many nurse-lead studies use this scoring system. In the present study, we examined the inter-rater reliability of SAPS3 among nurses in an ICU. METHODS: Five ICU nurses who worked in an ICU for a mean length of 7.8 years were educated for 2 hours about SAPS3 score and its components. Each nurse scored 26 patients, and the intraclass correlation coefficient (ICC) of the total scores and each subset were evaluated. RESULTS: The ICC (95% confidence interval) of SAPS3 score was 0.89 (0.82-0.95), that of subset I was 0.90 (0.82-0.95), subset II was 0.54 (0.35-0.73), and subset III was 0.95 (0.91-0.97). The ICC of predicted mortality was 0.91 (0.85-0.96). CONCLUSIONS: The ICC of SAPS3 score and predicted mortality among ICU nurses were reliable. According to these ICC values, SAPS3 score is a reliable scale to be used by nurses. The ICC of subset II was lower than those of the other subsets, suggesting that education of SAPS3 should focus on the definition of each subset II component.
Critical Care
;
Education
;
Humans
;
Intensive Care Units
;
Mortality
;
Observer Variation
;
Physiology
;
Severity of Illness Index