新生兒臍血堿剩余正常參考值與地理環(huán)境
[Abstract]:The analysis of umbilical blood gas analysis for newborns can be used to accurately reflect the condition of hypoxia and acid-base imbalance in the newborn, including pH value, oxygen partial pressure, carbon dioxide partial pressure and other indicators at home and abroad, but there are few descriptions and reports about the index of alkali residue (BE). The innovation of this paper lies in the new students. The residual normal reference value of umbilical vein blood base, the residual normal reference value of umbilical artery blood base and the quantitative study of geographical factors. After retrieval, only one paper reported the relationship between umbilical blood gas analysis and altitude, but it was also a qualitative description, like this paper, the normal reference value of the umbilical vein blood base in the newborn. The residual normal reference value of umbilical artery blood alkali and geographical factors are quantified and quantified. From the whole geographical environment, the overall study of this large area in China has not been reported.
The medical research index of this article is to select the umbilical artery blood alkali residue (BE) and the umbilical vein blood alkali residue (BE). These two indexes are all important indexes in judging the neonatal asphyxia. By combining the alkali remainder (BE) and other blood gas analysis indexes, the anoxia condition and acid-base intoxication of new born children are judged. To explore the relationship between the remaining two indexes of umbilical artery blood base and umbilical vein blood base and various geographical factors in Chinese neonates, and to establish a regression model between them.
Through a large number of retrieving literature and the method of seeking for the relevant units, the two medical indexes were collected from the umbilical artery blood alkali residue and the normal reference value of the umbilical vein blood base in all regions of China. According to the relevant geographical works and related literature, seven geographical factors were selected: altitude and annual average temperature, Annual precipitation, annual sunshine hours, average temperature of one month, average temperature in July and annual average relative humidity, two medical indexes and seven geographical factors were analyzed by linear regression analysis, stepwise regression analysis, multiple linear regression analysis and nonlinear regression analysis, which got a series of regression equations, according to the optimization principle, In the regression equation, the optimal regression model between umbilical artery blood alkali residue, umbilical vein blood alkali residue and various geographical factors is selected, and the optimal regression model is used to select the representative location, and the predicted values from the model are compared with the actual measured values collected locally, and the single factor variance test method is used. The dependability of the measured values and the predicted values of the model was verified. Finally, it was found that the consistency of the measured values and the predicted values of the model was very good. The model could be used to predict the residual normal reference value of umbilical vein blood base and the residual normal reference value of umbilical artery blood base.
By using linear regression analysis, stepwise regression analysis, multiple linear regression analysis and nonlinear regression analysis, four methods were used to obtain the residual normal reference value of neonatal umbilical vein blood base. The optimal regression model between the normal reference value of umbilical artery blood base and the geographical factors were respectively: (?) _v=-2.034-0.285X_2+0.00814X_3 The prediction interval of -0.00120X_4+0.127X_5+0.156X_6 + 0.358F=79.420 P=0.000 (?) _v is [(?) _v-0.358, (?) _v+0.358] (?) _a=1.769-0.00296X_4 + 0.353F=1222.741, P=0.000 (?) _A prediction interval is [(?) _a-0.353, (?) _a+0.353]
The estimated values are compared with the local measured values, and the predicted values and the measured values are tested by the single factor variance method. It is found that the predicted values of the model are in good agreement with the measured values, and there is no significant difference (P > 0.05).
【學(xué)位授予單位】:陜西師范大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2007
【分類號】:R722.1;R188
【參考文獻】
相關(guān)期刊論文 前10條
1 張文穎,王立巖,王惠娟,蘭月霞;單純羊水過少的臍動脈血氣分析[J];白求恩醫(yī)科大學(xué)學(xué)報;1994年04期
2 郭喬楠,陳意生;應(yīng)用多元線性回歸與多元逐步回歸模型研究骨肉瘤的預(yù)后影響因素[J];第三軍醫(yī)大學(xué)學(xué)報;1999年12期
3 張方林,朱文斌,徐兩蒲,魏林擁;臍血氣分析評價胎兒缺氧的臨床意義(附83例臨床分析)[J];福建醫(yī)藥雜志;1996年02期
4 王冬梅,沈頌東;逐步回歸分析法[J];工業(yè)技術(shù)經(jīng)濟;1997年03期
5 吳惠芳;胎兒臍動脈血流測定與臍血血氣分析預(yù)測新生兒預(yù)后120例[J];華夏醫(yī)學(xué);1998年06期
6 符暉;早產(chǎn)兒窒息與臍動脈血氣分析[J];廣東微量元素科學(xué);1997年04期
7 唐卉,李慕軍,李啟金;臍血血氣分析與胎心監(jiān)護、Apgar評分聯(lián)合監(jiān)測胎兒缺氧的相關(guān)性研究[J];廣西醫(yī)科大學(xué)學(xué)報;2000年03期
8 張玉芳;西寧與北京地區(qū)陰道分娩新生兒臍血血氣比較[J];高原醫(yī)學(xué)雜志;2000年03期
9 吳雅莉,呂玉蘭,趙宏,李冠周,尹濟群;不同類型血氣分析儀測定結(jié)果比較[J];河北醫(yī)學(xué)院學(xué)報;1995年04期
10 張婷;189例新生兒血氣分析采血的體會[J];護理學(xué)雜志;1995年03期
本文編號:2169946
本文鏈接:http://sikaile.net/yixuelunwen/liuxingb/2169946.html