• Korean Journal of Plant Resources
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• v.33 no.4
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• pp.287-292
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• 2020

Lathyrus palustris often used as a treatment for inflammation of the kidneys in Korean traditional medication. Generally, drugs for arthritis have anti-inflammatory and antinociceptive properties. However, the validity of the anti-inflammatory effect has not been scientifically investigated so far. Therefore, the purpose of the research was to investigate the latent anti-inflammatory ability of L. palustris using the ethanol extract. To evaluate the anti-inflammatory activities, we examined the inflammatory arbitrators such as a nitric oxide (NO) and prostaglandin E₂ (PGE₂) on RAW 264.7 cells. Our results indicated that ethanol extract significantly inhibited the lipopolysaccharide E (LPS) derived PGE₂ production in RAW 264.7 cell. The inhibitory activity of ethanol extract for PGE₂ tests with inhibition ratio showed in 40 ㎍/mL. Overall, PGE₂ tests had a higher inhibitory effect on inflammation than NO tests. This result anticipated that the ethanol extract from L. palustris is a good candidate for developing the origin of anti-inflammatory agents.

• Korean Journal of Psychosomatic Medicine
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• v.27 no.2
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• pp.101-110
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• 2019

Objectives : It is not clear which clinical variables are most closely associated with delirium in the Intensive Care Unit (ICU). By comparing clinical data of ICU delirium and non-delirium patients, we sought to identify variables that most effectively differentiate delirium from non-delirium. Methods : Medical records of 6,386 ICU patients were reviewed. Random Subset Feature Selection and Principal Component Analysis were utilized to select a set of clinical variables with the highest discriminatory capacity. Statistical analyses were employed to determine the separation capacity of two models-one using just the selected few clinical variables and the other using all clinical variables associated with delirium. Results : There was a significant difference between delirium and non-delirium individuals across 32 clinical variables. Richmond Agitation Sedation Scale (RASS), urinary catheterization, vascular catheterization, Hamilton Anxiety Rating Scale (HAM-A), Blood urea nitrogen, and Acute Physiology and Chronic Health Examination II most effectively differentiated delirium from non-delirium. Multivariable logistic regression analysis showed that, with the exception of vascular catheterization, these clinical variables were independent risk factors associated with delirium. Separation capacity of the logistic regression model using just 6 clinical variables was measured with Receiver Operating Characteristic curve, with Area Under the Curve (AUC) of 0.818. Same analyses were performed using all 32 clinical variables;the AUC was 0.881, denoting a very high separation capacity. Conclusions : The six aforementioned variables most effectively separate delirium from non-delirium. This highlights the importance of close monitoring of patients who received invasive medical procedures and were rated with very low RASS and HAM-A scores.