本文關(guān)鍵詞：GRASPS、SEDAN、HAT模型對非溶栓性腦梗死出血轉(zhuǎn)化的預測價值　出處：《生物醫(yī)學工程與臨床》2016年06期 　論文類型：期刊論文

  更多相關(guān)文章： 急性腦梗死 出血轉(zhuǎn)化 預測模型

【摘要】：目的探討GRASPS、SEDAN、HAT模型在預測非溶栓性腦梗死出血轉(zhuǎn)化中的臨床應用價值。方法選擇570例未經(jīng)溶栓的急性腦梗死患者,其中男性375例,女性195例;年齡41~90歲,平均年齡68.41歲。根據(jù)頭顱CT或MRI檢查是否出血分為出血轉(zhuǎn)化組和非出血轉(zhuǎn)化組,其中出血轉(zhuǎn)化組123例,非出血轉(zhuǎn)化組447例。兩組同時給予GRASPS、SEDAN、HAT模型評分。采用受試者工作特性曲線(ROC)獲得HAT模型、SEDAN模型和GRASPS模型的靈敏度和特異度,計算曲線下面積。結(jié)果 HAT模型預測出血轉(zhuǎn)化的靈敏度為63.4%,特異度為70.5%,曲線下面積0.717[95%可信區(qū)間(CI)0.661~0.772],最佳診斷界值為1.5。SEDAN模型預測出血轉(zhuǎn)化的靈敏度為48.3%,特異度為51.7%,曲線下面積0.601(95%CI 0.546~0.656),最佳診斷界值為1.5。GRASPS模型預測出血轉(zhuǎn)化的靈敏度為58.5%,特異度為63.1%,曲線下面積0.620(95%CI 0.564~0.676),最佳診斷界值為77.5。結(jié)論HAT、GRASPS、SEDAN模型用于非溶栓性腦梗死出血轉(zhuǎn)化有一定的預測價值,但以HAT模型預測能力最強。
[Abstract]:Objective to evaluate the clinical value of grass PSV SEDANHAT model in predicting the transformation of non-thrombolytic cerebral infarction. Methods 570 patients with acute cerebral infarction without thrombolysis were selected. There were 375 males and 195 females; The average age was 68.41 years old. According to CT or MRI examination, the patients were divided into two groups: hemorrhage conversion group and non-bleeding conversion group, among which 123 cases were bleeding conversion group. There were 447 cases in the non-bleeding conversion group. The HAT model was obtained by using the operating characteristic curve (ROC) of the subjects in both groups, and the score of grass PSV SEDANHAT model was given at the same time. The sensitivity and specificity of SEDAN model and GRASPS model were calculated and the area under the curve was calculated. Results the sensitivity and specificity of HAT model for predicting hemorrhage transformation were 63.4 and 70.5% respectively. Area under curve 0.717. [The best diagnostic threshold was 1.5.SEDAN model. The sensitivity of predicting hemorrhage transformation was 48.3, and the specificity was 51.7%. The area under the curve was 0.601 / 95 / CI 0.546 / 0.656, and the best diagnostic threshold was 1.5.GRASPS model with a sensitivity of 58.5%. The specificity was 63.1, the area under the curve was 0.620 ~ 95CI 0.564and the best diagnostic threshold was 77.5.ConclusionHATA GRASPS. The SEDAN model has certain predictive value for the transformation of non-thrombolytic cerebral infarction, but the HAT model is the best.
【作者單位】： 廣饒縣人民醫(yī)院神經(jīng)內(nèi)科;青島市中心醫(yī)院心內(nèi)科;青島大學附屬醫(yī)院神經(jīng)內(nèi)科;青島大學附屬醫(yī)院心內(nèi)科;
【分類號】：R743.33
【正文快照】： 作者單位:1.廣饒縣人民醫(yī)院神經(jīng)內(nèi)科,山東東營257300;2.青島市中心醫(yī)院心內(nèi)科,山東青島266042;3.青島大學附屬醫(yī)院a.神經(jīng)內(nèi)科;b.心內(nèi)科,山東青島266003腦梗死出血轉(zhuǎn)化是指腦梗死后,梗死區(qū)域恢復血流灌注,導致繼發(fā)性出血[1]。有報道急性腦梗死后自發(fā)出血轉(zhuǎn)化的發(fā)生率為10%~40%[，

本文編號：1364824