Analysis of diseases distribution in Medical Information Mart for Intensive Care Ⅲ database
10.3760/cma.j.issn.2095-4352.2018.06.006
- VernacularTitle:危急重症监护数据库MIMIC-Ⅲ疾病谱分析
- Author:
Yong FAN
1
;
Yuzhuo ZHAO
;
Peiyao LI
;
Xiaoli LIU
;
Lijing JIA
;
Kaiyuan LI
;
Cong FENG
;
Fei PAN
;
Tanshi LI
;
Zhengbo ZHANG
;
Desen CAO
Author Information
1. 解放军总医院医学工程保障中心
- Keywords:
Spectrum of disease;
Critical care;
Medical Information Mart for Intensive Care Ⅲ;
Electronic health records;
Exploratory data analysis
- From:
Chinese Critical Care Medicine
2018;30(6):531-537
- CountryChina
- Language:Chinese
-
Abstract:
Objective To study the distribution of diseases in Medical Information Mart for Intensive Care Ⅲ(MIMIC-Ⅲ) database in order to provide reference for clinicians and engineers who use MIMIC-Ⅲ database to solve clinical research problems. Methods The exploratory data analysis technologies were used to explore the distribution characteristics of diseases and emergencies of patients (excluding newborns) in MIMIC-Ⅲ database were explored; then, neonatal gestational age, weight, length of hospital stay in intensive care unit (ICU) were analyzed with the same method. Results In the MIMIC-Ⅲ database, 46 428 patients were admitted for the first time, and 49 214 ICU records were recorded. There were 26 076 males and 20 352 females; the median age was 60.5 (38.6, 75.6) years, and most patients were between 60 and 80 years old. The first diagnosis in the disease spectrum analysis was firstly ranked by circulatory diseases (32%), followed by injury and poisoning (14%), digestive system disease (8%), tumor (7%), respiratory disease (6%) and so on. Patients with ischemic heart disease accounted for the largest proportion of circulatory disease (42%), the proportion of these patients gradually increased with age of 60-70 years old, then decreased. However, the proportion of patients with cerebrovascular disease declined first and then increased with age, which was the main cause of death of circulatory system disease (ICU mortality was 22.5%). Injury and poisoning patients showed a significant decrease with age. Digestive system diseases were younger than the general population (most people aged between 50 to 60 years), and non-infectious enteritis and colitis were the main causes of death (ICU mortality was 18.3%). Respiratory infections were predominant in infected patients (34%), but circulatory system infections were the main cause of death (ICU mortality was 25.6%). Secondly, in the neonatal care unit, premature infants accounted for the vast majority (82%). As the gestational age increased, the duration of ICU was decreased, and the mortality was decreased. Conclusions The diseases distribution of patients can be provided by MIMIC-Ⅲ database, which helps to grasp the overview of the volume and age distribution of the target patients in advance, and carry out the next step of research. Meanwhile, it points out the important role of exploratory data analysis in electronic health records analysis.
