Zheng Dai1, Siru Liu2, Jinfa Wu1, Mengdie Li1, Jialin Liu3,4, Ke Li1. 1. School of Life Science & Technology, University of Electronic Science & Technology of China, Chengdu, China. 2. Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, United States of America. 3. Department of Medical Informatics, West China Medical School, Sichuan University, Chengdu, China. 4. Information Center, West China Hospital, Sichuan University, Chengdu, China.
Abstract
PURPOSE: To deeply analyze the basic information and disease information of adult patients in the MIMIC-III (Medical Information Mart for Intensive Care III) database, and provide data reference for clinicians and researchers. MATERIALS AND METHODS: Tableau2019.1.0 and Navicat12.0.29 were used for data analysis and extraction of disease distribution of adult patients in the MIMIC-III database. RESULT: A total of 38,163 adult patients were included in the MIMIC-III database. Only 38,156 patients with the first diagnosis were selected. Among them, 21,598 were males accounting for 56.6% the median age was 66 years (Q1-Q3: 53-78), the median length of a hospital stay was 7 days (Q1-Q3: 4-12), and the median length of an ICU stay was 2.1 days (Q1-Q3: 1.2-4.1). Septicemia was the disease with the highest mortality rate among patients and the total mortality rate was 48.9%. The disease with the largest number of patients at the last time was other forms of chronic ischemic heart disease. CONCLUSION: By analyzing the patients' basic information, the admission spectrum and the disease morbidity and mortality can help more researchers understand the MIMIC-III database and facilitate further research.
PURPOSE: To deeply analyze the basic information and disease information of adult patients in the MIMIC-III (Medical Information Mart for Intensive Care III) database, and provide data reference for clinicians and researchers. MATERIALS AND METHODS: Tableau2019.1.0 and Navicat12.0.29 were used for data analysis and extraction of disease distribution of adult patients in the MIMIC-III database. RESULT: A total of 38,163 adult patients were included in the MIMIC-III database. Only 38,156 patients with the first diagnosis were selected. Among them, 21,598 were males accounting for 56.6% the median age was 66 years (Q1-Q3: 53-78), the median length of a hospital stay was 7 days (Q1-Q3: 4-12), and the median length of an ICU stay was 2.1 days (Q1-Q3: 1.2-4.1). Septicemia was the disease with the highest mortality rate among patients and the total mortality rate was 48.9%. The disease with the largest number of patients at the last time was other forms of chronic ischemic heart disease. CONCLUSION: By analyzing the patients' basic information, the admission spectrum and the disease morbidity and mortality can help more researchers understand the MIMIC-III database and facilitate further research.
Authors: Ahmed Arshad; Catherine Blandon; Kyle Carey; Philip Verhoef; Priti Jani; Samuel Volchenboum; Matthew Churpek; Anoop Mayampurath Journal: Crit Care Explor Date: 2022-10-07