INSPIRE, a publicly available research dataset for perioperative medicine

Leerang Lim; Hyeonhoon Lee; Chul Woo Jung; Dayeon Sim; Xavier Borrat; Tom J. Pollard; Leo A. Celi; Roger G. Mark; Simon T. Vistisen; Hyung Chul Lee

doi:10.1038/s41597-024-03517-4

INSPIRE, a publicly available research dataset for perioperative medicine

Leerang Lim, Hyeonhoon Lee, Chul Woo Jung, Dayeon Sim, Xavier Borrat, Tom J. Pollard, Leo A. Celi, Roger G. Mark, Simon T. Vistisen, Hyung Chul Lee^*

^*Corresponding author for this work

Department of Clinical Medicine - Anaesthesiology and Operation, Intensive care

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

Abstract

We present the INSPIRE dataset, a publicly available research dataset in perioperative medicine, which includes approximately 130,000 surgical operations at an academic institution in South Korea over a ten-year period between 2011 and 2020. This comprehensive dataset includes patient characteristics such as age, sex, American Society of Anesthesiologists physical status classification, diagnosis, surgical procedure code, department, and type of anaesthesia. The dataset also includes vital signs in the operating theatre, general wards, and intensive care units (ICUs), laboratory results from six months before admission to six months after discharge, and medication during hospitalisation. Complications include total hospital and ICU length of stay and in-hospital death. We hope this dataset will inspire collaborative research and development in perioperative medicine and serve as a reproducible external validation dataset to improve surgical outcomes.

Original language	English
Article number	655
Journal	Scientific Data
Volume	11
Issue	1
ISSN	2052-4463
DOIs	https://doi.org/10.1038/s41597-024-03517-4
Publication status	Published - Dec 2024

Access to Document

10.1038/s41597-024-03517-4Licence: CC BY

Cite this

@article{cb0a8870fe0043b9b58495b98c19ac4a,

title = "INSPIRE, a publicly available research dataset for perioperative medicine",

abstract = "We present the INSPIRE dataset, a publicly available research dataset in perioperative medicine, which includes approximately 130,000 surgical operations at an academic institution in South Korea over a ten-year period between 2011 and 2020. This comprehensive dataset includes patient characteristics such as age, sex, American Society of Anesthesiologists physical status classification, diagnosis, surgical procedure code, department, and type of anaesthesia. The dataset also includes vital signs in the operating theatre, general wards, and intensive care units (ICUs), laboratory results from six months before admission to six months after discharge, and medication during hospitalisation. Complications include total hospital and ICU length of stay and in-hospital death. We hope this dataset will inspire collaborative research and development in perioperative medicine and serve as a reproducible external validation dataset to improve surgical outcomes.",

author = "Leerang Lim and Hyeonhoon Lee and Jung, {Chul Woo} and Dayeon Sim and Xavier Borrat and Pollard, {Tom J.} and Celi, {Leo A.} and Mark, {Roger G.} and Vistisen, {Simon T.} and Lee, {Hyung Chul}",

note = "Publisher Copyright: {\textcopyright} The Author(s) 2024.",

year = "2024",

month = dec,

doi = "10.1038/s41597-024-03517-4",

language = "English",

volume = "11",

journal = "Scientific Data",

issn = "2052-4463",

publisher = "Nature Publishing Group",

number = "1",

}

TY - JOUR

T1 - INSPIRE, a publicly available research dataset for perioperative medicine

AU - Lim, Leerang

AU - Lee, Hyeonhoon

AU - Jung, Chul Woo

AU - Sim, Dayeon

AU - Borrat, Xavier

AU - Pollard, Tom J.

AU - Celi, Leo A.

AU - Mark, Roger G.

AU - Vistisen, Simon T.

AU - Lee, Hyung Chul

PY - 2024/12

Y1 - 2024/12

N2 - We present the INSPIRE dataset, a publicly available research dataset in perioperative medicine, which includes approximately 130,000 surgical operations at an academic institution in South Korea over a ten-year period between 2011 and 2020. This comprehensive dataset includes patient characteristics such as age, sex, American Society of Anesthesiologists physical status classification, diagnosis, surgical procedure code, department, and type of anaesthesia. The dataset also includes vital signs in the operating theatre, general wards, and intensive care units (ICUs), laboratory results from six months before admission to six months after discharge, and medication during hospitalisation. Complications include total hospital and ICU length of stay and in-hospital death. We hope this dataset will inspire collaborative research and development in perioperative medicine and serve as a reproducible external validation dataset to improve surgical outcomes.

AB - We present the INSPIRE dataset, a publicly available research dataset in perioperative medicine, which includes approximately 130,000 surgical operations at an academic institution in South Korea over a ten-year period between 2011 and 2020. This comprehensive dataset includes patient characteristics such as age, sex, American Society of Anesthesiologists physical status classification, diagnosis, surgical procedure code, department, and type of anaesthesia. The dataset also includes vital signs in the operating theatre, general wards, and intensive care units (ICUs), laboratory results from six months before admission to six months after discharge, and medication during hospitalisation. Complications include total hospital and ICU length of stay and in-hospital death. We hope this dataset will inspire collaborative research and development in perioperative medicine and serve as a reproducible external validation dataset to improve surgical outcomes.

UR - http://www.scopus.com/inward/record.url?scp=85196738238&partnerID=8YFLogxK

U2 - 10.1038/s41597-024-03517-4

DO - 10.1038/s41597-024-03517-4

M3 - Journal article

C2 - 38906912

AN - SCOPUS:85196738238

SN - 2052-4463

VL - 11

JO - Scientific Data

JF - Scientific Data

IS - 1

M1 - 655

ER -

INSPIRE, a publicly available research dataset for perioperative medicine

Abstract

Access to Document

Other files and links

Fingerprint

Cite this