Epidemiology of prehospital emergency medical service use in Korean children.

OBJECTIVE: The aim of this study was to elucidate the epidemiology of pediatric patients transported by the National 119 Rescue Services in Korea. METHODS: We enrolled all pediatric patients (<16 years old) who used the National 119 Rescue Services in Korea between January 2006 and December 2008, and analyzed the 119 ambulance patient care record databases. RESULTS: The total number of the cases was 238,644 for 3 years. The median age was 6 years old and 59.0% were male, and the 2- to 5-year-old group was the largest (31.0%). The peak transport times were in the afternoon (from 12:00 p.m. to 17:59 p.m., 36.3%), on Saturday and Sunday (15.9% and 15.7%), and in summer (June to August, 27.3%). The ratio of disease versus injury as the cause of the transports was 42.3% vs. 57.7%. Among the 16 metropolitan cities and provinces, Gyeonggi (25.7%), Seoul (17.6%), and Incheon (7.0%) account for almost half of the all transported children. Regarding the annual transport rates per 100,000 children standardized by age, and gender to the Korean child population, Jeju was the largest (1,650.2) followed by Gangwon (1,201.3), and Jeonnam (1,178.1). CONCLUSION: This report presents comprehensive epidemiologic data of pediatric patients transported by 119 rescue services in Korea.

Validation of the new diagnosis grouping system for pediatric emergency department visits using the International Classification of Diseases, 10th Revision.

OBJECTIVE: A clinically sensible diagnosis grouping system (DGS) is needed for describing pediatric emergency diagnoses for research, medical resource preparedness, and making national policy for pediatric emergency medical care. The Pediatric Emergency Care Applied Research Network (PECARN) developed the DGS successfully. We developed the modified PECARN DGS based on the different pediatric population of South Korea and validated the system to obtain the accurate and comparable epidemiologic data of pediatric emergent conditions of the selected population. METHODS: The data source used to develop and validate the modified PECARN DGS was the National Emergency Department Information System of South Korea, which was coded by the International Classification of Diseases, 10th Revision (ICD-10) code system. To develop the modified DGS based on ICD-10 code, we matched the selected ICD-10 codes with those of the PECARN DGS by the General Equivalence Mappings (GEMs). After converting ICD-10 codes to ICD-9 codes by GEMs, we matched ICD-9 codes into PECARN DGS categories using the matrix developed by PECARN group. Lastly, we conducted the expert panel survey using Delphi method for the remaining diagnosis codes that were not matched. RESULTS: A total of 1879 ICD-10 codes were used in development of the modified DGS. After 1078 (57.4%) of 1879 ICD-10 codes were assigned to the modified DGS by GEM and PECARN conversion tools, investigators assigned each of the remaining 801 codes (42.6%) to DGS subgroups by 2 rounds of electronic Delphi surveys. And we assigned the remaining 29 codes (4%) into the modified DGS at the second expert consensus meeting. The modified DGS accounts for 98.7% and 95.2% of diagnoses of the 2008 and 2009 National Emergency Department Information System data set. This modified DGS also exhibited strong construct validity using the concepts of age, sex, site of care, and seasons. This also reflected the 2009 outbreak of H1N1 influenza in Korea. CONCLUSIONS: We developed and validated clinically feasible and sensible DGS system for describing pediatric emergent conditions in Korea. The modified PECARN DGS showed good comprehensiveness and demonstrated reliable construct validity. This modified DGS based on PECARN DGS framework may be effectively implemented for research, reporting, and resource planning in pediatric emergency system of South Korea.

Epidemiology of traumatic head injury in Korean children.

The aim of this study was to elucidate the epidemiology of traumatic head injury (THI) among Korean children. A prospective, in-depth trauma survey was conducted in five teaching hospitals. Data from all of the children who attended the emergency department (ED) were analyzed. From June 2008 to May 2009, 2,856 children with THI visited the 5 EDs. The average age of the subjects was 5.6 (SD ± 4.9) yr old, and 1,585 (55.5%) were 0-4 yr old. The male-to-female ratio was 2.3 to 1 (1,979 vs 877). Consciousness levels of the subjects were classified according to the Glasgow Coma Scale (GCS), and 99.1%, 0.6%, and 0.4% were determined as mild, moderate, or severe injury, respectively, according to the GCS categorization. Most injuries occurred at home (51.3%), and the most common mechanism of injury was collision (43.2%). With regard to outcome, 2,682 (93.9%) patients were sent home, and 35 (1.2%) were transferred to another hospital. A total of 133 (4.7%) patients were hospitalized, and 38 (1.3%) underwent surgery. The incidence and characteristics of pediatric THI in Korea are affected by sex, location and injury mechanism.

Analysis of the appropriate age and weight for pediatric patient sedation for magnetic resonance imaging.

Sedatives with a long duration are required for pediatric magnetic resonance imaging (MRI) in the emergency department. The success rate of chloral hydrate for pediatric sedation is 80% to 100% according to some studies. However, the success rate varies by age, weight, and underlying disease. To identify factors affecting the success rate, we compared the chloral hydrate sedation success rate and adverse event rate by age, weight, and underlying disease. Compared with patients in the failure group, patients in the successful group were younger (23.8 vs 36.9 months, P < .01) and weighed less (11.4 vs 14.4 kg, P < .01). No differences in neurological problems, reasons for MRI, or adverse events were observed between the 2 groups. Patients 18 months old had a success rate greater than 95%, but the success rate decreased in children older than 18 months. The adverse event rate was about 10% in patients 18 months old and increased to 20% in patients older than 36 months. Patients 24 months of age who had a neurological problem (seizure disorder or developmental delay) had a success rate greater than 95%, but the adverse event rate increased after 24 months of age. Chloral hydrate sedation was appropriate for pediatric MRI in patients younger than 18 months. Although we observed no fatal adverse events, it is necessary to monitor patients until full recovery from sedation.

A new age-based formula for estimating weight of Korean children.

OBJECTIVES: The objective of this study was to develop and validate a new age-based formula for estimating body weights of Korean children. METHODS: We obtained body weight and age data from a survey conducted in 2005 by the Korean Pediatric Society that was performed to establish normative values for Korean children. Children aged 0-14 were enrolled, and they were divided into three groups according to age: infants (<12 months), preschool-aged (1-4 years) and school-aged children (5-14 years). Seventy-five percent of all subjects were randomly selected to make a derivation set. Regression analysis was performed in order to produce equations that predict the weight from the age for each group. The linear equations derived from this analysis were simplified to create a weight estimating formula for Korean children. This formula was then validated using the remaining 25% of the study subjects with mean percentage error and absolute error. To determine whether a new formula accurately predicts actual weights of Korean children, we also compared this new formula to other weight estimation methods (APLS, Shann formula, Leffler formula, Nelson formula and Broselow tape). RESULTS: A total of 124,095 children's data were enrolled, and 19,854 (16.0%), 40,612 (32.7%) and 63,629 (51.3%) were classified as infants, preschool-aged and school-aged groups, respectively. Three equations, (age in months+9)/2, 2×(age in years)+9 and 4×(age in years)-1 were derived for infants, pre-school and school-aged groups, respectively. When these equations were applied to the validation set, the actual average weight of those children was 0.4kg heavier than our estimated weight (95% CI=0.37-0.43, p<0.001). The mean percentage error of our model (+0.9%) was lower than APLS (-11.5%), Shann formula (-8.6%), Leffler formula (-1.7%), Nelson formula (-10.0%), Best Guess formula (+5.0%) and Broselow tape (-4.8%) for all age groups. CONCLUSION: We developed and validated a simple formula to estimate body weight from the age of Korean children and found that this new formula was more accurate than other weight estimating methods. However, care should be taken when applying this formula to older children because of a large standard deviation of estimated weight.