CAJ | 학술논문

目的研究烧伤患者的血浆白蛋白水平是否能够预测死亡率。方法选取大于16岁烧伤患者，收集其临床资料，包括如简明烧伤严重指数（ABSI），血浆白蛋白，球蛋白，血脂等。ROC曲线下面积用来评估白蛋白对死亡率的预测。结果486人纳入本研究，83．1％患者的烧伤面积小于30％，16．9％的患者烧伤大于30％。最为常见的烧伤原因是火焰。患者工作情况，烧伤性质，全层烧伤，吸入性烧伤，血白蛋白在存活患者与死亡患者中的分布显著不同（P＜0．05）。存活患者与死亡患者相比，烧伤面积，入院ABSI，总胆固醇，甘油三酯，球蛋白，白蛋白，总蛋白值有显著地差异（P＜0．05）。白蛋白，总蛋白，白球蛋白比，球蛋白，总胆固醇，甘油三酯预测死亡率的ROC曲线下面积分别是0．861，0．852，0．836，0．756，0．744，0．372。结论入院时，白蛋白水平在烧伤患者中可以当做敏感性及特异性标记物来预测死亡率。
목적연구소상환자적혈장백단백수평시부능구예측사망솔。방법선취대우16세소상환자，수집기림상자료，포괄여간명소상엄중지수（ABSI），혈장백단백，구단백，혈지등。ROC곡선하면적용래평고백단백대사망솔적예측。결과486인납입본연구，83．1％환자적소상면적소우30％，16．9％적환자소상대우30％。최위상견적소상원인시화염。환자공작정황，소상성질，전층소상，흡입성소상，혈백단백재존활환자여사망환자중적분포현저불동（P＜0．05）。존활환자여사망환자상비，소상면적，입원ABSI，총담고순，감유삼지，구단백，백단백，총단백치유현저지차이（P＜0．05）。백단백，총단백，백구단백비，구단백，총담고순，감유삼지예측사망솔적ROC곡선하면적분별시0．861，0．852，0．836，0．756，0．744，0．372。결론입원시，백단백수평재소상환자중가이당주민감성급특이성표기물래예측사망솔。
Objective To investigate whether the level of serum albumin to predict mortality in burn patients. Methods The clinical data in burn patients aged more than 16 years old were analyzed,including abbreviation of burn severity index(ABSI), plasma albumin, globulin, blood fat. The ROC curve was used to evaluate albumin level on mortality prediction...Results 486 people were included in this study,.and most of them with burn area were less than 30%. (83.1%),.only 16.9% of patients were more than 30%..The most common cause was a flame injury..Work situation,.burn properties, full-thickness burns, inhalation burn, blood albumin in the distribution of live and death in patients were significantly different (P<0.05). There was a significantly difference between survival patients and death patients, in burn area,.hospital ABSI, total cholesterol, triglycerides, globulin, albumin, total protein (P<0.05). The areas under ROC curve for mortality prediction on the levels of albumin, total protein,.white globulin ratio,.globulin,.total cholesterol,.triglyceride predicts mortality of area under the ROC curv e respectively were 0.861,0.852,0.836, 0.756, 0.744, 0.372. Conclusion On admission,.albumin levels in patients with burns can be as a sensitive and specific marker to predict mortality.