Sang Jun Park

Prof. Sang Jun Park


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2016 in Medicine
Verified
Journal Article
Open access
SPSang Jun Park
Sang Jun Park
RLRippy Lee
Rippy Lee
DYDuck Mi Yoon
Duck Mi Yoon
KYKyung Bong Yoon
Kyung Bong Yoon
KKKiwook Kim
Kiwook Kim
SKShin Hyung Kim
Shin Hyung Kim
Pain catastrophizing is becoming increasingly recognized as a clinically important psychological factor in chronic musculoskeletal pain. In this retrospective cross-sectional study, we have identified factors associated with an increased risk for pain catastrophizing in chronic neck pain (CNP) patients. We obtained data from our medical database on 331 patients who were treated for neck pain as their chief complaint at our clinic. The Pain Catastrophizing Scale (PCS) was used to define a high pain catastrophizing state (PCS score ≥21) in this study. Patient demographics, pain-related factors, and psychological factors were evaluated with logistic regression analysis to identify risk factors of high pain catastrophizing among patients with CNP. A total of 256 patients with CNP satisfied the study inclusion criteria and were included in the analyses. The median PCS score was 16 (range, 0–45), and 86 of 256 patients (33.5%) reported a PCS score ≥21. In multivariate analysis, high pain intensity, clinical insomnia, and a high level of depression/anxiety were strongly associated with high pain catastrophizing in patients with CNP. Depression was the strongest predictor of high pain catastrophizing, with an odds ratio of 7.35 (95% confidence interval 2.23–24.22). High pain catastrophizing was not significantly related to age, gender, comorbidities, or neck pain-related physical symptoms. In conclusion, poor psychological states should be addressed as an important part of pain management in CNP patients who are susceptible to high pain catastrophizing.

11 June 2018 in Pain Research and Management
Verified
Journal Article
Open access
PDF file
Hun-Mu YangHun-Mu Yang
Hun-Mu Yang
SPSang Jun Park
Sang Jun Park
KYKyung Bong Yoon
Kyung Bong Yoon
KPKyoungun Park
Kyoungun Park
SKShin Hyung Kim
Shin Hyung Kim
Background. A quadratus lumborum (QL) block is an abdominal truncal block technique that primarily provides analgesia and anaesthesia to the abdominal wall. This cadaveric study was undertaken to compare the dye spread between different needle approaches for ultrasound-guided QL blocks in soft-embalmed cadavers. Methods. After randomization, an experienced anesthesiologist performed two lateral, three posterior, and five alternative QL blocks on the left or right sides of five cadavers. The target injection point for the alternative approach was the lumbar interfascial triangle, same as that of conventional posterior QL block, with a different needle trajectory. For each block, 20 ml of dye solution was injected. The lumbar region and abdominal flank were dissected. Results. Ten blocks were successfully performed. Regardless of the approach used, the middle thoracolumbar fascia was deeply stained in all blocks, but the anterior layer was less stained. The alternative approach was more associated with spread of injectate to the transversus abdominis and transversalis fascia plane. Despite accurate needle placement, all lateral QL blocks were associated with a certain amount of intramuscular or subcutaneous infiltration. Two posterior QL blocks showed a deeply stained posterior thoracolumbar fascia, and one of them was associated with obvious subcutaneous staining. The subcostal, iliohypogastric, and ilioinguinal nerves were mostly involved, but the thoracic paravertebral space and lumbar plexus were not affected in all blocks. Conclusions. The alternative approach for QL blocks was able to achieve a comparable extent when compared to the conventional approach.

16 September 2016 in PLOS ONE
Verified
Journal Article
Open access
PDF file
SPSang Jun Park
Sang Jun Park
DYDuck Mi Yoon
Duck Mi Yoon
KYKyung Bong Yoon
Kyung Bong Yoon
JMJi Ae Moon
Ji Ae Moon
SKShin Hyung Kim
Shin Hyung Kim
Chronic musculoskeletal pain is highly prevalent, disabling, and costly, and has many negative effects on quality of life. The aim of this study was to investigate factors associated with higher reported pain levels in patients with chronic musculoskeletal pain among demographic, clinical, and psychological factors, and to evaluate whether insomnia is independently associated with pain intensity in this population. A total of 357 patients with chronic musculoskeletal pain (pain duration ≥ six months) satisfied the study inclusion criteria and were included in the analyses. Patient demographics, clinical, and psychological factors were evaluated with hierarchical multivariate logistic analysis to identify factors associated with severe pain (NRS [numeric rating scale] ≥ 7). Hierarchical linear regression analysis also performed to identify factors associated with pain intensity (0 to 10 NRS). Multivariate logistic analyses revealed older age (OR [odds ratio] = 1.017, 95% CI [confidence interval] 1.001–1.032, P = 0.034), high anxiety level (OR = 1.162, 95% CI 1.020–1.324, P = 0.024), high pain catastrophizing (OR = 1.043, 95% CI 1.007–1.081, P = 0.018), and severe insomnia (OR = 1.112, 95% CI 1.057–1.170, P<0.001) were significantly associated with severe pain. Hierarchical linear regression analysis showed age (β = 0.106, P = 0.041), pain catastrophizing (β = 0.249, P<0.001), and insomnia (β = 0.286, P<0.001) were significantly associated with pain intensity. The variance in pain intensity explained by the final model was 32.2%. Older age, severe insomnia, and high pain catastrophizing were significantly associated with higher reported pain levels. Insomnia was independently associated with pain intensity, even after controlling for various demographic and clinical factors. These factors should be considered when devising pain management strategies for this population.

1 January 2017 in Yonsei Medical Journal
Verified
Journal Article
Open access
PDF file
SPSang Jun Park
Sang Jun Park
SSSeokyung Shin
Seokyung Shin
SKShin Hyung Kim
Shin Hyung Kim
HKHyun Woo Kim
Hyun Woo Kim
SKSeung Hyun Kim
Seung Hyun Kim
YCYong Seon Choi
Yong Seon Choi
Park SJ, et al. Yonsei Med J. 2017 May;58(3):650-657. https://doi.org/10.3349/ymj.2017.58.3.650

1 June 2018 in Journal of Pain Research
Verified
Journal Article
Open access
PDF file
SKSeon Ju Kim
Seon Ju Kim
SPSang Jun Park
Sang Jun Park
DYDuck Mi Yoon
Duck Mi Yoon
KYKyung Bong Yoon
Kyung Bong Yoon
SKShin Hyung Kim
Shin Hyung Kim
Background: Pulsed radiofrequency (RF) targeting the adjacent dorsal root ganglion (DRG) is one treatment option for lumbosacral radicular pain. However, the analgesic efficacy of this procedure is not always guaranteed. The aim of this retrospective study was to identify the predictors of the analgesic efficacy of pulsed DRG RF treatment in patients with chronic lumbosacral radicular pain. Methods: Patients who underwent pulsed DRG RF treatment from 2006 to 2017 at our clinic were enrolled. Positive response was defined as a ≥50% reduction in pain score from baseline at day 30. Patient demographics, pain-related factors, and clinical factors were evaluated using logistic regression analysis to identify the predictors of a positive response to the treatment. Results: A total of 60 patients satisfied the study protocol requirements. Twenty-eight patients (46.7%) had a positive outcome. Multivariate logistic regression analysis revealed that the absence of comorbid musculoskeletal pain (OR=0.518, 95% CI=0.029–0.858, P=0.033) and positive response to previous epidural steroid injection (OR=3.269, 95% CI=1.046–10.215, P=0.042) were independent predictors of the analgesic efficacy of pulsed DRG RF treatment. Conclusion: Comorbid musculoskeletal pain and previous epidural injection response appear to affect the outcome of pulsed DRG RF treatment in patients with chronic lumbosacral radicular pain.

31 December 2015 in Journal of Clinical Monitoring and Computing
Verified
Journal Article
Closed access
PDF file
SLSu Hyun Lee
Su Hyun Lee
YCYong-Min Chun
Yong-Min Chun
YOYoung Jun Oh
Young Jun Oh
SSSeokyung Shin
Seokyung Shin
SPSang Jun Park
Sang Jun Park
YCYong Seon Choi
Yong Seon Choi