• Journal of Hospice and Palliative Care
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• 제21권4호
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• pp.158-162
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• 2018

유방암에 의한 림프부종은 유방암 수술 이후 생기는 치료하기 힘든 부작용 중 하나로 여겨져 왔다. 환자들은 림프부종에 의한 신체적인 기능저하뿐만 아니라 삶의 질 저하로 인한 정신적인 우울감을 호소한다. 최근의 연구에서는 봉와직염이 유방암에 의한 림프부종의 위험성을 현저히 높인다는 결과가 있었고, 봉와직염 자체가 유방암에 의한 림프부종을 일으키는 위험 인자로 제시되어 왔다. 본 증례에서는 1달간의 성상신경절 블록으로 유방암에 의한 염증성 림프부종 환자의 증상 완화 및 팔 둘레의 현저한 감소에 대해 기술 하고자 한다. 우리는 환자의 팔 둘레를 4군데에서 측정하였는데 각각 팔꿈치를 기준으로 위 아래 5 cm, 10 cm에서 측정이 이루어졌다. 또한 통증 점수(NRS) 와 breast cancer questionnaire (LBCQ) 점수를 외래 방문마다 측정하였다. 두 번의 연속적인 성상신경절 블록 이후 환자의 통증 점수 및 팔 둘레는 감소하였고, 치료 중간에 봉와직염이 재발하여 다시 입원하여 항생제 치료와 병행하여 연속적인 성상신경절 블록을 시행하였고 환자는 시술의 결과에 대해 매우 만족하였다. 특히 환자는 통증 및 붓기의 완화와 어깨 관절의 움직임 개선에 큰 만족을 보였고, 결과적으로 환자의 삶의 질을 높이는데 기여하였다. 본 증례는 유방암에 의한 염증성 림프부종에 대한 성상신경절 블록의 효과에 대한 연구로, 스테로이드를 사용하지 않는 성상신경절 블록이 치료하기 힘든 염증성 림프부종 환자의 대체적이면서 보조적인 치료 방법으로 제시 될 수 있다는 것을 보여준다.

• The Korean Journal of Pain
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• 제34권2호
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• pp.210-216
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• 2021

Background: Postherpetic neuralgia (PHN) is the most common complication of acute herpes zoster. The treatment of PHN remains a challenge for clinical pain management. Despite the effectiveness of anticonvulsants, antidepressants, and lidocaine patches in reducing PHN, many patients still face intractable pain disorders. In this randomized controlled study, we evaluated whether hydromorphone through intravenous patient-controlled analgesia (IV PCA) was effective in relieving PHN. Methods: Patients with PHN were randomly divided into two groups, one group received oral pregabalin with IV normal saline, another group received oral pregabalin with additional IV PCA hydromorphone for two weeks. Efficacy was evaluated at 1, 4, and 12 weeks after the end of the treatments. Results: Two hundred and one patients were followed up for 12 weeks. After treatment, numerical rating scale (NRS) score of patients in the hydromorphone group was significantly lower than that of the control group, and the difference of NRS scores between the two groups was statistically significant at 4 and 12 weeks after treatment. The frequency of breakthrough pain in the hydromorphone group was significantly lower than that in the control group 1 and 4 weeks after treatment. After treatment, the quality of sleep in the hydromorphone group was significantly improved compared with the control group. The most common adverse reactions in the hydromorphone group were dizziness and nausea, with no significant respiratory depression. Conclusions: IV PCA hydromorphone combined with oral pregabalin provides superior pain relief in patients with PHN, which is worthy of clinical application and promotion.

• 한국환경보건학회지
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• 제47권6호
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• pp.548-557
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• 2021

Background: Due to the emergence of new diseases such as COVID-19, an increasing number of people are struggling with stress and depression. Interest is growing in forest-based recreation for physical and mental relief. Objectives: A prediction model equation using meteorological factors and data was developed to predict the quantities of medicinal substances generated in forests (monoterpenes) in real-time. Methods: The concentration of phytoncide and meteorological factors in the forests near Chuncheon in South Korea were measured for nearly two years. Meteorological factors affecting the observation data were acquired through a multiple regression analysis. A model equation was developed by applying a linear regression equation with the main factors. Results: The linear regression analysis revealed a high explanatory power for the coefficients of determination of temperature and humidity in the coniferous forest (R²=0.7028 and R²=0.5859). With a temperature increase of 1℃, the phytoncide concentration increased by 31.7 ng/Sm³. A humidity increase of 1% led to an increase in the coniferous forest by 21.9 ng/Sm³. In the deciduous forest, the coefficients of determination of temperature and humidity had approximately 60% explanatory power (R²=0.6611 and R²=0.5893). A temperature increase of 1℃ led to an increase of approximately 9.6 ng/Sm³, and 1% humidity resulted in a change of approximately 6.9 ng/Sm³. A prediction model equation was suggested based on such meteorological factors and related equations that showed a 30% error with statistical verification. Conclusions: Follow-up research is required to reduce the prediction error. In addition, phytoncide data for each region can be acquired by applying actual regional phytoncide data and the prediction technique proposed in this study.