Correlation analysis of blood lipid metabolism level and breast cancer based on information system health data

Yong-min Feng
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Abstract

Abstract—Breast cancer was the highest incidence of malignant tumors in women, and it was also the leading cause of cancer deaths in women worldwide. In order to explore the relationship between blood lipid metabolism and breast cancer, this study adopted the method of obtaining medical health data through the hospital information system. 616 breast cancer patients who went to the hospital at the same time were selected as the experimental group, and 547 physical examination populations were used as the control group. Statistical software was used to analyze the correlation between the two groups of blood lipid testing data. Studies have found that the serum total cholesterol, triglycerides, high-density lipoprotein, low-density lipoprotein, apolipoprotein AI and apolipoprotein B of breast cancer patients were significantly lower than those of healthy people on physical examination. This study used the medical health data of the information system to verify that the blood lipid metabolism level of breast cancer patients was significantly lower than that of the normal population. The blood lipid metabolism level can be used as a screening index to identify breast cancer and can assess the occurrence and development of breast cancer.
基于信息系统健康数据的血脂代谢水平与乳腺癌的相关性分析
摘要:乳腺癌是女性中发病率最高的恶性肿瘤,也是全球女性癌症死亡的主要原因。为了探讨血脂代谢与乳腺癌的关系,本研究采用通过医院信息系统获取医疗健康数据的方法。选取同期就诊的616例乳腺癌患者作为实验组,547例体检人群作为对照组。采用统计软件分析两组血脂检测数据的相关性。研究发现,乳腺癌患者体检时血清总胆固醇、甘油三酯、高密度脂蛋白、低密度脂蛋白、载脂蛋白AI、载脂蛋白B均明显低于健康人。本研究利用信息系统的医疗健康数据验证了乳腺癌患者的血脂代谢水平明显低于正常人群。血脂代谢水平可作为鉴别乳腺癌的筛查指标,可评估乳腺癌的发生发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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