CAJ | 학술논문

目的:观察中药五籽散药熨治疗与空气波压力治疗对改善乳癌术后上肢淋巴水肿及上肢功能的效果差别.方法:采用方便抽样法抽取乳癌术后上肢淋巴水肿患者92例,随机分为药熨组和气压组,分别接受中药五籽散药熨治疗与空气波压力治疗,测量患肢周径,用上肢功能状况量表(KAPS)评估症状和功能,比较两组患者患肢淋巴水肿缓解效果及症状功能改善效果的差别.结果:两组患者患肢周径均减少,药熨组患肢周径减少更显著,比较有显著性差异(P<0.05);两组患者治疗三个月后上肢功能状况量表(KAPS)得分均明显降低,且药熨组得分比气压组低,比较有显著性差异(P<0.05),药熨组患者功能改善更显著.结论:中药五籽散药熨治疗和空气波压力治疗均可缓解乳癌术后上肢淋巴水肿,并促进患肢症状和功能的改善,且中药五籽散药熨治疗的效果更加显著.
목적:관찰중약오자산약의치료여공기파압력치료대개선유암술후상지림파수종급상지공능적효과차별.방법:채용방편추양법추취유암술후상지림파수종환자92례,수궤분위약의조화기압조,분별접수중약오자산약의치료여공기파압력치료,측량환지주경,용상지공능상황량표(KAPS)평고증상화공능,비교량조환자환지림파수종완해효과급증상공능개선효과적차별.결과:량조환자환지주경균감소,약의조환지주경감소경현저,비교유현저성차이(P<0.05);량조환자치료삼개월후상지공능상황량표(KAPS)득분균명현강저,차약의조득분비기압조저,비교유현저성차이(P<0.05),약의조환자공능개선경현저.결론:중약오자산약의치료화공기파압력치료균가완해유암술후상지림파수종,병촉진환지증상화공능적개선,차중약오자산약의치료적효과경가현저.
Objective: To observe the differences on relieving lymphatic edema of upper limb and improving upper limb function of postoperative breast cancer patients by traditional herbal med-icine ironing therapy and the air pressure pulse therapy. Methods:92 postoperative breast cancer pa-tients with lymphatic edema of upper limb were randomized grouping into experimental group and control group. Experimental group received traditional herbal medicine ironing therapy; control group received the air pressure pulse therapy. Two groups were measured perimeter of upper limb, evaluated symptoms and function of upper limb, then compared the differences on upper limb lymphedema relief and upper limb function improvement. Results:The upper limb perimeter of two groups was reduced, experimental group reduced more significantly (P<0.05). The KAPS scores of two groups were reduced after received treatments three months later, experimental group reduced more significantly (P<0.05), which meant the function of experimental group improved more signif-icantly. Conclusion:Both the traditional herbal medicine ironing therapy and the air pressure pulse therapy could relieve lymphatic edema of upper limb and improve upper limb function of postopera-tive breast cancer patients,and the effect of traditional herbal medicine ironing therapy was more re-markable.