| Project/Area Number |
13672437
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
Laboratory medicine
|
|---|
| Research Institution | Yamaguchi University (2002)
Kawasaki Medical School (2001) |
|---|
Principal Investigator |
ICHIHARA Kiyoshi Yamaguchi University School of Medicine, Professor, 医学部, 教授 (10144495)
|
|---|
| Project Period (FY) |
2001 – 2002
|
| Project Status |
Completed (Fiscal Year 2002)
|
| Budget Amount *help |
¥1,800,000 (Direct Cost: ¥1,800,000)
Fiscal Year 2002: ¥900,000 (Direct Cost: ¥900,000)
Fiscal Year 2001: ¥900,000 (Direct Cost: ¥900,000)
|
|---|
| Keywords | reference interval / disease-specific reference interval / age-related changes / latent reference value extraction method / data-mining / latent abnormal value exclusion method / standardization / 小児基準値 / フタマイニング / 臨床検査 / 基準個体 / 多変量解析 |
|---|
| Research Abstract |
I have developed a data-mining method to derive a reference interval (RI) for laboratory tests from a routine laboratory data, called "latent reference value extraction method", in 1996. It features simultaneous setting of RIs for multiple test items mutually related and a rigid exclusion of those individuals with abnormal values in other test items. Thus it requires an iterative processing to optimize RIs. In this research I developed a realistic algorithm to obtain appropriate initial estimates of RIs, to exclude apparently abnormal individuals, and to adjust for a distorted age distribution commonly seen in patients' population. A software based on the revised methodology not only has a flexible ability to optimize derivation of RIs but also has an ability to derive age-specific reference interval using a stepwise age-adjusted exclusion of abnormal values. The software was applied to various clinical laboratory data. In Okayama, age-related RIs were derived for common test items. Consistent age-related changes in RIs were observed in all the analytes. It was also applied to reveal year-by-year changes in RIs (0 to 23 year old) for major laboratory analytes. All of them showed peculiar profiles while a use of conventional methodology led to apparently distorted profiles. It was also found to be applicable to obtain so-called disease-specific RIs using a large data from hemodialysis patients.
|
