1.Treatment of Periprosthetic Fracture after Total Elbow Replacement Arthroplasty
Hyunseok SEO ; Jin-Hyung IM ; Joo-Yup LEE
Journal of the Korean Fracture Society 2020;33(2):110-117
The indications for total elbow replacement arthroplasty (TERA) include rheumatoid arthritis, degenerative arthritis, acute fracture, nonunion, malunion, posttraumatic arthritis, tumor, and chronic instability. With the development of designs and the increasing use of TERA, more periprosthetic fractures are occurring. On the other hand, there is less data on periprosthetic fractures after TERA because TERA is a relatively rare procedure. Thus, a careful review of the previous literature and appropriate selection of surgical indications are essential for achieving a satisfactory outcome, which should be accompanied by precise surgery as planned. This article presents the causes, risk factors, classification, and principles of treatment of periprosthetic fractures after TERA.
2.A Heuristic Algorithm to Find All Normalized Local Alignments Above Threshold.
Sangtae KIM ; Jeong Seop SIM ; Heejin PARK ; Kunsoo PARK ; Hyunseok PARK ; Jeong Sun SEO
Genomics & Informatics 2003;1(1):25-31
Local alignment is an important task in molecular biology to see if two sequences contain regions that are similar. The most popular approach to local alignment is the use of dynamic programming due to Smith and Waterman, but the alignment reported by the Smith-Waterman algorithm has some undesirable properties. The recent approach to fix these problems is to use the notion of normalized scores for local alignments by Arslan, Egecioglu and Pevzner. In this paper we consider the problem of finding all local alignments whose normalized scores are above a given threshold, and present a fast heuristic algorithm. Our algorithm is 180-330 times faster than Arslan et al.''s for sequences of length about 120 kbp and about 40-50 times faster for sequences of length about 30 kbp.
Molecular Biology
3.A 24-Month Effects of Methylphenidate Use on Growth in Children and Adolescents With Attention Deficit Hyperactivity Disorder
Yoojeong LEE ; Nayeong KONG ; San KOO ; Dai Seg BAI ; Hee jin KIM ; Hyunseok JEONG ; Wan Seok SEO
Psychiatry Investigation 2022;19(3):213-219
Objective:
The primary objective of this study was to investigate the effect of methylphenidate (MPH) on height, weight, and body mass index (BMI) in drug-naive children and adolescents with attention deficit hyperactivity disorder (ADHD) over 24 months. The secondary objective was to investigate whether the age of MPH initiation and sex act as risk factors for growth retardation.
Methods:
A total of 82 patients with ADHD were included. Weight, height, and BMI were measured at baseline and every 6 months up to 24 months. Weight, height, and BMI data were converted to z-scores and analyzed using two-way repeated-measures ANOVA and multiple linear regression.
Results:
The z-score of height, weight and BMI decreased from the baseline values. The z-scores of height were at baseline 0.002; 6 months -0.100; 12 months -0.159; 18 months -0.159; 24 months -0.186. The z-scores of weight were at baseline 0.104; 6 months -0.155; 12 months -0.256; 18 months -0.278; 24 months -0.301. Here were no age and sex differences of height, weight, and BMI.
Conclusion
The use of MPH was associated with attenuation of weight and height gain rates in children and adolescents with ADHD.