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Research ArticleOpen Access

MIMIC III Database: A Descriptive Epidemiology of Severe Cholangitis Patient Cohort

Volume 2 - Issue 5

Abdellah Hedjoudje*1, Stéphane Koch1, Lucine Vuitton1 and Allen Zhang2

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    • 1Service d’hépato-gastroentérologie, Centre hospitalier Régional universitaire de Besancon, France
    • 2Johns Hopkins University Evidence-based Practice Center, United States

    *Corresponding author: Abdellah Hedjoudje, Service de gastro-entérologie, Centre hospitalier Régional universitaire de Besancon, CHRU Jean Minjoz, 1 rue Alexandre Fleming, 25030 Besancon, France

Received: February 22, 2018;   Published: March 08, 2018

DOI: 10.26717/BJSTR.2018.02.000829

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Objective: Electronic medical records include detailed information on clinical care. Besides its clinical utility, they afford researchers to evaluate impact of diagnostic and therapeutic decisions on patient outcomes. However, these dataset are not shared mainly for confidential reasons and remain consequently underused. MIMIC-III (‘Medical Information Mart for Intensive Care’) is a large, single-center database comprising information relating to patients admitted to critical care units at a large tertiary care hospital has been made publicly available. The objective of this study is to investigate and introduce the database content though the descriptive epidemiology of a severe cholangitis patient cohort.

Method: We conducted a retrospective study of patients with severe cholangitis admitted to the intensive care unit of the Beth Israel Deaconess Medical Center using the MIMIC-III v1.4 (‘Medical Information Mart for Intensive Care’). We investigated type of data available in the dataset such as patient characteristics, mortality, drug prescription, microbiology data and fluid balance.

Result: MIMIC-III v1.4 stores 26 different tables with an overall number of 46,520 patients accounting for 58,976 hospitalizations. Records are stored in 21 tables and 5 tables are dictionary tables. The largest file contains more than 330 millions monitoring values data. We identified 125 patients with a severe cholangitis associated with a septic shock. Mean age was 70.75 (12.57) years. 52% of patients were male. Of the 125 patients, 27 died at the hospital leading to a in-hospital mortality of 21, 77%. Patients stayed 7.1 (9.35) in intensive care unit on average. Mean fluid balance was 111.34 (73.15), 48.34 (55.94), 34.94 (50.83), 24.25 (48.79), 27.42 (38.92), 27.73 (61.59) and 26.36 (55.66) at 24, 48, 72, 96, 120, 144 and 168 hours. The most frequent microorganism found was E. Coli on 23, 41% followed by K. pneumonia in 6,12% of specimens. Blood culture was the microbiological test most widely prescribed to check for infectious pathogens.

Conclusion: MIMIC-III v1.4 is a large, single-center database that contains a very large number of patients and hospital admissions. As illustrated by the septic shock associated cholangitis patients, a very broad type of data is stored.

Abbreviations: Abbreviations: ALT: Alanine Aminotransferase; AST: Aspartate Aminotransferase; BIDM: Beth Israel Deaconess Medical Center; CAM-ICU: Confusion Assessment Method for the Intensive Care Unit; ETOH: Ethanol; ETT: Endo Tracheal Tube; FSPN: Spontaneous Breathing Frequency; GCS: Glasgow Coma Scale; ID: Internal Diameter; INR: International Normalised Ratio; LDH Lactate Deshydrogenase; LLE: Left Lower Extremity; LLL: Left Lower Lobe; LOC: Level Of Consciousness; LUE: Left Upper Extremity; LUL: Left Upper Lobe; MS: Mental State; NBP: Non-invasive Blood Pressure; PAW: Airway Pressure; PEEP Positive End-Expiratory Pressure; PICC: Peripherally Inserted Central Catheter; PTT: Partial Thromboplastin Time; Richmond-RAS Scale - Richmond Agitation Sedation Scale; RLE: Right Lower Extremity; RLL: Right Lower Lobe; RUE: Right Upper Extremity; RUL: Right Upper Lobe; VTI: Velocity Time Integral; WBC: White blood count

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