Complex regional pain syndrome (CRPS) is a syndrome of pain and sudomotor or vasomotor instabilities. The perioperative pain management in CRPS patients is very important, as surgery can aggravate preexisting symptoms, especially when performed around the lesion site. Despite the increasing interest in CRPS research, little is known about the optimal perioperative treatment strategy for CRPS patients. Herein, the case of a female CRPS patient, who underwent elective surgery at the lesion site, is reported. As a preemptive analgesia, the patient was satisfactorily managed with two weeks of patient-controlled epidural analgesia, initiated 2 days prior to surgery. The techniques for the prevention of perioperative pain, including preemptive analgesia, as well as its importance, are discussed.
Analgesia ; Analgesia, Epidural ; Female ; Humans ; Pain Management*

PURPOSE: The increased incidence of asthma due to rising allergic diseases requires the prevention of worsening asthma. It is necessary to develop a patient-tailored asthma prediction model. METHODS: We developed causative factors for the asthma forecast system: infant and young children (0–2 years), preschool children (3–6 years), school children and adolescents (7–18 years), adults (19–64 years), old aged adult (>64 years). We used the Emergency Department code data which charged the short-acting bronchodilator (Salbutamol sulfate) from Health Insurance Review and Assessment Service for the development of asthma prediction models. Three kinds of statistical models (multiple regression models, logistic regression models, and decision tree models) were applied to 40 study groups (4 seasons, 2 sex, and 5 age groups) separately. RESULTS: The 3 kinds of models were compared based on model assessment measures. Estimated logistic regression models or decision tree models were recommended as binary forecast models. To improve the predictability, a threshold was used to generate binary forecasts. CONCLUSION: We suggest the binary forecast models as a patient-tailored asthma prediction system for this category. It may be needed the extended study duration and long-term data analysis for asthmatic patients for the further improvement of asthma prediction models.
Adolescent ; Adult ; Asthma* ; Child ; Child, Preschool ; Decision Trees ; Emergency Service, Hospital ; Humans ; Incidence ; Infant ; Insurance, Health ; Logistic Models ; Models, Statistical ; Seasons ; Statistics as Topic

PURPOSE: This study focused on the evaluation of the relation between pollen concentration and the outbreak of allergic disease (symptom index), and this outcome would be necessary to upgrade risk grade for the pollen forecasting system. METHODS: Airborne particles carrying allergens, such as pollen, were collected daily at the Seoul and Guri area by using 7-day Burkard samplers for 6 years. A total of 596 Subjects were recruited from Hanyang University Seoul Hospital (n=144 for spring, n=139 for autumn), and Hanyang University Guri Hospital (n=157 for spring, n=156 for autumn). Symptom index was evaluated and recorded by phone calling to study subjects daily or asking questionnaire when they visit outpatient clinic every week. Statistical analysis of data was performed by using correlation coefficients and regression models with time series graph. RESULTS: Two peak seasons of pollen concentration were May and September in Korea. In skin prick tests, the sensitization rate to ragweed pollen was gradually increased in children. In the same period, sensitization rates to airborne pollen, especially oak, birch for spring, and Japanese hop for autumn were increased annually. There was a significantly relationship between symptom index of allergic patients and allergic pollen concentrations in this study. Especially symptom index was significantly correlated to the concentration of oak pollen of day 1 in spring and to the concentration of Japanese hop pollen of day 0 in autumn. CONCLUSION: Sensitization rates to pollens increased annually. There is a significant relationship between allergy symptom index and pollen concentration. There remains to confirm the Korean own risk grade of pollen allergy.
Allergens ; Ambrosia ; Ambulatory Care Facilities ; Asian Continental Ancestry Group ; Betula ; Child ; Forecasting ; Humans ; Hypersensitivity ; Korea ; Pollen* ; Rhinitis, Allergic, Seasonal ; Seasons ; Seoul ; Skin

Drug metabolism mostly occurs in the liver. Cytochrome P450 (CYP) is a drug-metabolizing enzyme that is responsible for many important drug metabolism reactions. Recently, the US FDA and EU EMA have suggested that CYP enzyme induction can be measured by both enzymatic activity and mRNA expression. However, these experiments are time-consuming and their inter-assay variability can lead to misinterpretations of the results. To resolve these problems and establish a more powerful method to measure CYP induction, we determined CYP induction by using luminescent assay. Luminescent CYP assays link CYP enzyme activity to firefly luciferase luminescence technology. In this study, we measured the induction of CYP isozymes (1A2, 2B6, 2C9, and 3A4) in cryopreserved human hepatocytes (HMC424, 478, and 493) using a luminometer. We then examined the potential induction abilities (unknown so far) of mesalazine, a drug for colitis, and mosapride citrate, which is used as an antispasmodic drug. The results showed that mesalazine promotes CYP2B6 and 3A4 activities, while mosapride citrate promotes CYP1A2, 2B6, and 3A4 activities. Luminescent CYP assays offer rapid and safe advantages over LC-MS/MS and qRT-PCR methods. Furthermore, luminescent CYP assays decrease the interference between the optical properties of the test compound and the CYP substrates. Therefore, luminescent CYP assays are less labor intensive, rapid, and can be used as robust tools for high-throughput CYP screening during early drug discovery.
Citric Acid* ; Colitis ; Cytochrome P-450 CYP1A2 ; Cytochrome P-450 Enzyme System* ; Cytochromes* ; Drug Discovery ; Enzyme Induction* ; Fireflies ; Hepatocytes ; Humans* ; Isoenzymes ; Liver ; Luciferases ; Luminescence ; Luminescent Measurements* ; Mass Screening ; Mesalamine* ; Metabolism ; RNA, Messenger