本文選題：每搏量變異度(SVV) + 液體治療��； 參考：《新疆醫(yī)科大學》2015年碩士論文

【摘要】：目的：針對每搏量變異度(Stroke Volume Variation,SVV)在圍術期液體治療當中的指導價值進行分析,為優(yōu)化圍術期目標導向液體治療的最優(yōu)方法提供更為準確有效的判定指標。方法：計算機檢索Cochrane圖書館、Pubmed、EMbase、CINAHL、 Web of Science、中國生物醫(yī)學文獻數據庫(CBM)、相關期刊論文(CNKI)等中外生物醫(yī)學數據庫,以stroke volume variation(SVV)、fluid therapy為檢索詞,搜索自2000年至今的所有相關參考文獻,對相關資料文獻進行閱讀后,篩選并納入液體反應性預測方面的動態(tài)容量性指標SW價值評價的隨機對照實驗,判斷是否納入meta分析的文獻總量,按Cochrane系統評價方法,評價所納入研究的文獻質量,并提取有效數據后進行Meta分析,評價SW在指導圍術期目標導向液體治療準確性當中的價值。結果：納入11篇文獻當中的420例患者進行本次研究的meta分析,病例來源均為ICU與手術室,患者均經機械控制呼吸,潮氣量在8-10ml/kg之間。對納入文獻與數據進行meta分析的結果顯示,SVV基線值與液體反應性之間的相關性顯著,相關系數值為0.718。SVV在液體反應性當中的預測指標敏感度為82.3%(95%CI為0.773-0.866),特異度為85%(95%CI為0.796-0.895),陽性似然比為5.245(95%CI為3.827-7.188),陰性似然比為0.21(95%CI為0.161-0.273),診斷比數比為26.291(95%CI為16.057-43.037)。SVV預測液體反應性的受試者工作特征曲線下面積AUC為0.9052。結果表明每搏量變異度(stroke volume variation.SVV)對圍術期患者液體反應性能夠準確預測,具有診斷性預測價值。結論：每搏量變異度(SVV)可以作為評價液體反應性的敏感指標,指導圍術期液體治療以達到液體治療的最優(yōu)化。
[Abstract]:Objective: to analyze the guiding value of Stroke Volume variation SVV in perioperative fluid therapy so as to provide a more accurate and effective index for optimizing the optimal method of perioperative goal-oriented fluid therapy. Methods: Chinese and foreign biomedical databases, such as the Cochrane Library Pubmedbase CINAHL, the Web of Science, the Chinese Biomedical Literature Database (CBMN) and the Chinese Journal Full-text Database (CNKI), were searched for all relevant references from 2000 to present. After reading the relevant literature, we selected and included the dynamic volume index SW value evaluation of liquid reactivity prediction in a randomized controlled trial to determine whether the total amount of literature included in the meta analysis was evaluated according to the Cochrane systematic evaluation method. To evaluate the quality of literature included in the study and to extract valid data and conduct meta-analysis to evaluate the value of SW in guiding the accuracy of target oriented fluid therapy during perioperative period. Results: meta analysis was performed in 420 patients who were included in 11 articles in this study. All the patients were from ICU and operating room. The patients were all breathed mechanically and the tidal volume was between 8-10ml/kg. The meta analysis of the literature and data showed a significant correlation between baseline values and liquid reactivity. The correlation coefficient value is 0.718.SVV, the predictive sensitivity in liquid reactivity is 82.33.95 and the CI is 0.773-0.866, the specificity is 850.796-0.895CI, the positive likelihood ratio is 5.24595 CI is 3.827-7.1888, the negative likelihood ratio is 0.2195CI 0.161-0.273C, the diagnostic ratio is 26.29195CI 16.057-43.037.SVV predicts the acceptance of fluid reactivity. The area under the work characteristic curve was 0.9052. The results showed that stroke volume variation.SVV could accurately predict the fluid reactivity of perioperative patients and had diagnostic predictive value. Conclusion: SVV can be used as a sensitive index to evaluate fluid reactivity and guide perioperative fluid therapy in order to optimize fluid therapy.
【學位授予單位】：新疆醫(yī)科大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：R614
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本文編號：2033741