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急性腦梗死患者血脂水平與腦微出血的相關(guān)性

發(fā)布時(shí)間:2018-05-29 02:51

  本文選題:腦微出血 + 危險(xiǎn)因素; 參考:《安徽醫(yī)科大學(xué)》2013年碩士論文


【摘要】:目的:應(yīng)用MRI磁敏感加權(quán)成像(SWI)序列對(duì)急性腦梗死患者伴發(fā)腦微出血(CMBs)狀況進(jìn)行檢測(cè),探討急性腦梗死患者血脂水平與腦微出血的相關(guān)性。 資料和方法: 一般資料:選擇我院2012年1月~2012年12月連續(xù)收治的104例急性腦梗死患者,根據(jù)MRI磁敏感加權(quán)成像(SWI)上有無(wú)CMBs分為2組,CMBs組48例和無(wú)CMBs組56例。比較兩組患者的一般臨床資料及生化指標(biāo)是否存在差異,并進(jìn)一步回歸分析CMBs發(fā)生的相關(guān)危險(xiǎn)因素。 設(shè)備及檢查方法:本研究利用德國(guó)Siemens1.5T超導(dǎo)型磁共振,型號(hào)為AvantoⅠclass,支持行SWI檢查所需的軟件。所有入組患者均行常規(guī)自旋回波(SE)序列T1加權(quán)成像T1WI、T2加權(quán)成像T2WI、液體衰減反轉(zhuǎn)恢復(fù)FLAIR、彌散加權(quán)成像DWI及SWI檢查。記錄SWI序列上CMBs的出現(xiàn)例數(shù)、數(shù)目、部位。利用橫斷面分析方法對(duì)CMBs危險(xiǎn)因素進(jìn)行分析。根據(jù)有無(wú)CMBs進(jìn)行分組,分組后比較兩組患者的人口學(xué)資料、既往病史、入院前服藥情況、實(shí)驗(yàn)室檢查等指標(biāo),進(jìn)一步回歸分析CMBs發(fā)生的相關(guān)危險(xiǎn)因素。 圖像評(píng)價(jià):所得圖像由磁共振室及神經(jīng)科經(jīng)驗(yàn)豐富的醫(yī)師閱片,同時(shí)參考CMBs觀察者量表(BOMBS)以提高不同研究者之間的一致性;經(jīng)協(xié)商一致后,記錄CMBs的數(shù)目及分布。 統(tǒng)計(jì)學(xué)數(shù)據(jù)處理:所有數(shù)據(jù)利用SPSS13.0統(tǒng)計(jì)軟件包進(jìn)行處理。采用單因素分析對(duì)CMBs可疑危險(xiǎn)因素進(jìn)行篩選。以有無(wú)CMBs為因變量,將P<0.05的相關(guān)因素作為自變量,進(jìn)行逐步logistic回歸分析,,結(jié)果以P<0.05為差異有統(tǒng)計(jì)學(xué)意義。 結(jié)果:1.兩組在年齡、性別、既往病史等一般資料比較差異無(wú)統(tǒng)計(jì)學(xué)意義(P>0.05)。 2.與無(wú)CMBs組比較,CMBs組TC、TG明顯降低,差異有統(tǒng)計(jì)學(xué)意義(P<0.01,P<0.05)。2組其他生化指標(biāo)差異無(wú)統(tǒng)計(jì)學(xué)意義(P>0.05)。 3.以有無(wú)CMBs為因變量,以TC、TG為自變量進(jìn)行Logistic回歸分析, TC為CMBs的獨(dú)立危險(xiǎn)因素。結(jié)論:CMBs在急性腦梗死患者中患病率較高,血清TC是CMBs的獨(dú)立危險(xiǎn)因素。
[Abstract]:Objective: to detect the status of cerebral microhemorrhage (CMBs) in patients with acute cerebral infarction by using MRI magnetic sensitive weighted imaging (SWI) sequence, and to explore the correlation between blood lipid level and cerebral microhemorrhage in patients with acute cerebral infarction.
Information and methods:
General data: 104 cases of acute cerebral infarction were selected in our hospital in December ~2012 January 2012. According to MRI magnetic sensitive weighted imaging (SWI), there were 2 groups, 48 cases in group CMBs and 56 cases without CMBs. Compare the difference between the general clinical data and biochemical indexes of the two groups, and further regression analysis of the phase of the occurrence of CMBs. Close the risk factors.
Equipment and methods of examination: This study uses the German Siemens1.5T superconducting magnetic resonance (Avanto I class) to support the software required for the SWI examination. All the patients who enter the group do the normal spin echo (SE) sequence T1 weighted imaging T1WI, T2 weighted imaging T2WI, liquid attenuation reversal FLAIR, diffusion-weighted imaging DWI and SWI examination. The number, number and location of CMBs were analyzed. The risk factors of CMBs were analyzed by cross section analysis. According to or without CMBs, the demographic data of the two groups, the past medical history, the medication situation before admission, and the laboratory examination were compared, and the related risk factors of CMBs were analyzed.
Image evaluation: the images were read by the experienced physicians of the magnetic resonance chamber and the neurology department, and the CMBs observer scale (BOMBS) was used to improve the consistency between the different researchers. After consensus, the number and distribution of CMBs were recorded.
Statistical data processing: all data were processed using SPSS13.0 statistical software package. Single factor analysis was used to screen suspicious risk factors of CMBs. With or without CMBs as the dependent variable, the relative factors of P < 0.05 were used as independent variables, and the logistic regression analysis was carried out. The results were statistically significant with the difference of P < 0.05.
Results: 1. there was no significant difference in age, sex and past medical history between the two groups (P > 0.05).
2. compared with group CMBs, TC and TG in group CMBs were significantly lower than those in group TC (P < 0.01, P < 0.05). There was no significant difference in other biochemical indexes in.2 group (P > 0.05).
3. take CMBs as dependent variable and TC and TG as independent variables to make Logistic regression analysis.
TC is an independent risk factor for CMBs. Conclusion: the prevalence of CMBs is high in patients with acute cerebral infarction. Serum TC is an independent risk factor for CMBs.
【學(xué)位授予單位】:安徽醫(yī)科大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2013
【分類(lèi)號(hào)】:R743.33

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 王本國(guó);林棉;楊楠;劉樹(shù)學(xué);陸兵勛;潘速躍;;不同腦血管病患者腦微出血的患病率及其危險(xiǎn)因素分析[J];中國(guó)神經(jīng)精神疾病雜志;2011年05期



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