Young Do Koh; Jeong Soo Park

doi:10.12671/jkfs.2015.28.2.132

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Original Article
Progression of Compression and Related Factors in Conservative Management of Osteoporotic Vertebral Compression Fractures: Young Do Koh, M.D., PhD., Jeong Soo Park, M.D.; Journal of the Korean Fracture Society 2015;28(2):132-138.
DOI: https://doi.org/10.12671/jkfs.2015.28.2.132
Published online: April 21, 2015

Department of Orthopaedic Surgery, Ewha Womans University School of Medicine, Seoul, Korea.

Address reprint requests to: Young Do Koh, M.D. Department of Orthopaedic Surgery, Ewha Womans University Mokdong Hospital, 1071 Anyangcheon-ro, Yangcheon-gu, Seoul 158-710, Korea. Tel: 82-2-2650-5564, Fax: 82-2-2642-0349, ydkoh@ewha.ac.kr

• Received: December 30, 2014 • Revised: February 21, 2015 • Accepted: April 1, 2015

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Abstract
NOTES
REFERENCES

Abstract

Purpose
The purpose of this study is to determine the ideal period of brace application for thoracolumbar (T10-L2) osteoporotic vertebral compression fracture (OVCF) based on the progression of the vertebral compression with passage of time and to evaluate the factors associated with progression of thoracolumbar OVCF, when treated conservatively.
Materials and Methods
This retrospective study included a total of 46 patients who were diagnosed with thoracolumbar OVCF and could be followed-up for at least 6 months. In this study, the increase of compression rate and the mean slope of compression rate per weeks were compared between two periods (from diagnosed date to 8 weeks and from 8 weeks to 6 months), as the standard point. Age, bone mineral density (BMD), osteoporosis treatment after injury, diabetes mellitus (DM) as underlying disease were also compared between two groups (setting up 15% as standard point of increase of compression rate, <15% and ≥15%). Statistical analyses were performed using the paired t-test to assess the increase of compression rate and using the linear mixed model to assess the mean slope change. The relationships between the factors and progression of compression were analyzed using t-test, chi-square test, and logistic regression analysis.
Results
The increase of compression rate was 13.03% and 1.97% in each period and the difference between those two periods was 11.06% (p=0.00). At 8 weeks of follow-up, the mean slope was reduced by 1.12 (p=0.00). No statistically significant difference in related factors was observed between two groups.
Conclusion
Considering the increase of compression rate with passage of time, brace should be applied strictly for an initial 8 weeks. And age, BMD, osteoporosis treatment after injury, and DM as underlying disease are not predictors of progression of compression in vertebral fractures.
Key words: Thoracolumbar, Osteoporotic vertebral compression fracture, Braces, Progression of vertebral compression

None.

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Fig. 1

Method for calculation of compression rate. a, c: anterior vertebral body height of upper and lower vertebra, b: anterior vertebral body height of fractured vertebra.

Fig. 2

Compression rate (CR) (%) according to the serial follow-up.

Table 1

Compression Rate (%) according to the Serial Follow-Up and Compression-Rate Progression on Initial to 8 Weeks and 8 Weeks to 6 Months (n=47)

Values are presented as mean±standard deviation.

Table 2

Difference of Compression-Rate Increase and Change of Mean Slopes between Initial to 8 Weeks and 8 Weeks to 6 Months

p-value=0.00. ^*Mean±tandard devation. ^†Corresponding value±standard error.

Table 3

Single Variable Analysis to Evaluate the Differences of Related Factors between Two Groups^*

Values are presented as mean±standard deviation or number (%). ^*Compression-rate increase: below 15% group and more than 15% group.

Table 4

Logistic Regression Analysis to Evaluate the Influence of Related Factors on the Compression-Rate Increases

^*95% confidence interval.

Figure & Data

REFERENCES

Citations

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Progression of Compression and Related Factors in Conservative Management of Osteoporotic Vertebral Compression Fractures

J Korean Fract Soc. 2015;28(2):132-138. Published online April 30, 2015

DOI: https://doi.org/10.12671/jkfs.2015.28.2.132

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Progression of Compression and Related Factors in Conservative Management of Osteoporotic Vertebral Compression Fractures

Fig. 1 Method for calculation of compression rate. a, c: anterior vertebral body height of upper and lower vertebra, b: anterior vertebral body height of fractured vertebra.

Fig. 2 Compression rate (CR) (%) according to the serial follow-up.

Fig. 1

Fig. 2

Progression of Compression and Related Factors in Conservative Management of Osteoporotic Vertebral Compression Fractures

Table 1

Compression Rate (%) according to the Serial Follow-Up and Compression-Rate Progression on Initial to 8 Weeks and 8 Weeks to 6 Months (n=47)

Values are presented as mean±standard deviation.

Table 2

Difference of Compression-Rate Increase and Change of Mean Slopes between Initial to 8 Weeks and 8 Weeks to 6 Months

p-value=0.00. ^*Mean±tandard devation. ^†Corresponding value±standard error.

Table 3

Single Variable Analysis to Evaluate the Differences of Related Factors between Two Groups^*

Values are presented as mean±standard deviation or number (%). ^*Compression-rate increase: below 15% group and more than 15% group.

Table 4

Logistic Regression Analysis to Evaluate the Influence of Related Factors on the Compression-Rate Increases

^*95% confidence interval.

Table 1 Compression Rate (%) according to the Serial Follow-Up and Compression-Rate Progression on Initial to 8 Weeks and 8 Weeks to 6 Months (n=47)

Values are presented as mean±standard deviation.

Table 2 Difference of Compression-Rate Increase and Change of Mean Slopes between Initial to 8 Weeks and 8 Weeks to 6 Months

p-value=0.00. ^*Mean±tandard devation. ^†Corresponding value±standard error.

Table 3 Single Variable Analysis to Evaluate the Differences of Related Factors between Two Groups*

Values are presented as mean±standard deviation or number (%). ^*Compression-rate increase: below 15% group and more than 15% group.

Table 4 Logistic Regression Analysis to Evaluate the Influence of Related Factors on the Compression-Rate Increases