Harnessing Big Data in Critical Care: Exploring a new European Dataset

被引：1

作者：

Rodemund, Niklas ^{[1
]}

Wernly, Bernhard ^{[2
,3
]}

Jung, Christian ^{[4
]}

Cozowicz, Crispiana ^{[1
]}

Kokoefer, Andreas ^{[1
]}

机构：

[1] Paracelsus Med Univ Salzburg, Dept Anesthesiol Perioperat Med & Intens Care Med, Salzburg, Austria

[2] Paracelsus Med Univ Salzburg, Gen Hosp Oberndorf, Dept Internal Med, Teaching Hosp, Oberndorf, Austria

[3] Paracelsus Med Univ Salzburg, Ctr Publ Hlth & Healthcare Res, Salzburg, Austria

[4] Univ Dusseldorf, Univ Hosp Dusseldorf, Vasc Med Med Fac, Div Cardiol,Pulm Dis, Dusseldorf, Germany

来源：

SCIENTIFIC DATA | 2024年 / 11卷 / 01期

关键词：

UNIT; PATIENT; SAPS-3;

D O I：

10.1038/s41597-024-03164-9

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Freely available datasets have become an invaluable tool to propel data-driven research, especially in the field of critical care medicine. However, the number of datasets available is limited. This leads to the repeated reuse of datasets, inherently increasing the risk of selection bias. Additionally, the need arose to validate insights derived from one dataset with another. In 2023, the Salzburg Intensive Care database (SICdb) was introduced. SICdb offers insights in currently 27,386 intensive care admissions from 21,583 patients. It contains cases of general and surgical intensive care from all disciplines. Amongst others SICdb contains information about: diagnosis, therapies (including data on preceding surgeries), scoring, laboratory values, respiratory and vital signals, and configuration data. Data for SICdb (1.0.6) was collected at one single tertiary care institution of the Department of Anesthesiology and Intensive Care Medicine at the Salzburger Landesklinik (SALK) and Paracelsus Medical University (PMU) between 2013 and 2021. This article aims to elucidate on the characteristics of the dataset, the technical implementation, and provides analysis of its strengths and limitations.

引用

页数：8

共 19 条

[1] "Big Data" in the Intensive Care Unit Closing the Data Loop [J].

Celi, Leo Anthony ;

Mark, Roger G. ;

Stone, David J. ;

Montgomery, Robert A. .

AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2013, 187 (11) :1157-1160

[2]

Cooke C. R., 2013, Critical Care Medicine, DOI [10.1097/CCM.0b013-31827bfc3c, DOI 10.1097/CCM.0B013-31827BFC3C]

[3]

Faltys Martin, 2021, PN

[4]

Gailly Jean-loup, 1992, GNU Gzip: General file (de)compression

[5] The European Union general data protection regulation: what it is and what it means [J].

Hoofnagle, Chris Jay ;

van der Sloot, Bart ;

Borgesius, Frederik Zuiderveen .

INFORMATION & COMMUNICATIONS TECHNOLOGY LAW, 2019, 28 (01) :65-98

[6]

Johnson AEW, 2023, SCI DATA, V10, DOI 10.1038/s41597-022-01899-x

[7]

Malin B., 2012, Health Information Privacy

[8] SAPS 3 - From evaluation of the patient to evaluation of the intensive care unit. Part 1: Objectives, methods and cohort description [J].

Metnitz, PGH ;

Moreno, RP ;

Almeida, E ;

Jordan, B ;

Bauer, P ;

Campos, RA ;

Iapichino, G ;

Edbrooke, D ;

Capuzzo, M ;

Le Gall, JR .

INTENSIVE CARE MEDICINE, 2005, 31 (10) :1336-1344

[9]

Moody G., 1996, Computers in Cardiology

[10] SAPS 3 - From evaluation of the patient to evaluation of the intensive care unit. Part 2: Development of a prognostic model for hospital mortality at ICU admission [J].