Objectives This study was performed to decide the bone union effect of Hwaweo-jeon on tibia fractured mice. Methods In this study, laboratory experiments were implemented by the stage of in vitro and in vivo. In in vitro, MC3T3-E1 cells were treated with various concentration of Hwaweo-jeon extract (HWJ). To investigate effect of HWJ for osteoblast, relative mRNA expression of 5 substances (alkaline phosphatase [ALP], runt-related transcription factor 2 [Runx2], osteocalcin [OCN], osterix [OSX] and collagen type Ⅱ alpha 1 chain [Col2a1]) was used as a marker of osteogenesis. In order to determine HWJ's effect for fracture healing, relative gene expression level of ALP, Runx2, OCN, OSX and Col2a1 were used to find out the influence to osteoblast. Furthermore, receptor activator of nuclear factor kappa-B ligand and osteoprotegerin relative mRNA expression were used to estimate the impact to osteoclast. Also, X-ray was used for the purpose of identifying bone union in tibia-fracture mouse model. Results In in vitro experiment, most part of relative mRNA expression were increased compared to control group. In in vivo and in vitro experiment, HWJ induced osteoblast activitation by verifying relative mRNA expression of 5 substances. And in vivo experiment, we can also identify that HWJ triggered osteoclast activation during early stage of tibia fracture. Furthermore, X-ray pictures show noticeable recovery of tibia fracture. Conclusions HWJ extract promotes bone union by facilitating the osteoblast. But, HWJ may occur liver & kidney toxicity over specific concentration. Therefore, when HWJ is applied to human body, doctors have to follow up the liver function test & renal function test of patient.

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Objectives The aim of this study is to analyze the patients who have low back pain through registry. Methods We registered patients with low back pain who visited department of korean rehabilitation medicine in university hospitals on study. We collected data from 116 subjects consisted of 51 inpatients and 65 outpatients and ruled out 8 who didn't have pattern identification data at the point of inpatient or outpatient visit so we analyzed 108 in total. We used Pearson's product moment correlation to find correlationship among variables, and analyzed statistical data using Phyton scipy library stats package. Results We set general features, region of the pain, physical examination, ROM, questionnaire results, pattern identification as variables and draw a conclusion by analyzing these variables. Conclusions Registry aimed at low back pain patients was established in department of korean rehabilitation medicine of university hospitals and exploratory analysis based on data were made. Through the registry, we expect that more advanced studies will be performed; for example, executing research which verifies effectiveness and stability of korean medical treatment or developing tools to fill the gap between pattern identification and disease identification. (J Korean Med Rehabil 2017;27(4):97-109)

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