Research on the Correlation between the Blood Lipid Metabolism Level and Lung Cancer based on LIS Database

Yong Feng, Juan Feng, Yuxin Li

2022

Abstract

In recent years, the incidence of lung cancer has gradually increased, ranking second in malignant tumors, and the mortality rate ranks first. Laboratory Information Management System (LIS) is a set of laboratory information management system specially designed for hospital laboratory. LIS can network experimental instruments and computers. LIS realizes intelligent, automated and standardized management of complicated operation processes such as specimen scanning and registration, experimental data access, report review, printing and distribution, and experimental data statistical analysis. The hospital will analyze a large amount of test data every day, generate test reports, and store them in the LIS database through the network. In this study, 1710 lung cancer patients were selected as the experimental group, and 1123 healthy people who visited a doctor during the same period were selected as the control group. In this study, the LIS database was used to analyze the correlation between the two groups of blood lipid metabolism levels. The study found that the metabolic levels of serum total cholesterol (CHO), triglyceride (TG), high-density lipoprotein (HDL-C) and apolipoprotein AI (ApoAI) in patients with lung cancer were significantly lower than those in the physical examination population. There was no significant difference in low density lipoprotein (LDL) and apolipoprotein B (ApoB) between the two groups. In this study, the LIS database was used to retrieve medical and health data, and the LIS data was fully utilized to verify the correlation between human blood lipids and lung cancer metabolic levels. This study has confirmed that the metabolic levels of human serum total cholesterol (CHO), triglyceride (TG), high-density lipoprotein (HDL-C) and apolipoprotein AI (ApoAI) can be used as important evaluation indicators for lung cancer.

Paper Citation

in Harvard Style

Feng Y., Feng J. and Li Y. (2022). Research on the Correlation between the Blood Lipid Metabolism Level and Lung Cancer based on LIS Database. In Proceedings of the 1st International Conference on Health Big Data and Intelligent Healthcare - Volume 1: ICHIH, ISBN 978-989-758-596-8, pages 278-283. DOI: 10.5220/0011292500003438

in Bibtex Style

@conference{ichih22,
author={Yong Feng and Juan Feng and Yuxin Li},
title={Research on the Correlation between the Blood Lipid Metabolism Level and Lung Cancer based on LIS Database},
booktitle={Proceedings of the 1st International Conference on Health Big Data and Intelligent Healthcare - Volume 1: ICHIH,},
year={2022},
pages={278-283},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011292500003438},
isbn={978-989-758-596-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Health Big Data and Intelligent Healthcare - Volume 1: ICHIH,
TI - Research on the Correlation between the Blood Lipid Metabolism Level and Lung Cancer based on LIS Database
SN - 978-989-758-596-8
AU - Feng Y.
AU - Feng J.
AU - Li Y.
PY - 2022
SP - 278
EP - 283
DO - 10.5220/0011292500003438