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INSPIRE, a publicly available research dataset for perioperative medicine.
Lim, Leerang; Lee, Hyeonhoon; Jung, Chul-Woo; Sim, Dayeon; Borrat, Xavier; Pollard, Tom J; Celi, Leo A; Mark, Roger G; Vistisen, Simon T; Lee, Hyung-Chul.
Afiliação
  • Lim L; Department of Anesthesiology and Pain Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, South Korea.
  • Lee H; Biomedical Research Institute, Seoul National University Hospital, Seoul, South Korea.
  • Jung CW; Department of Anesthesiology and Pain Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, South Korea.
  • Sim D; Department of Anesthesiology and Pain Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, South Korea.
  • Borrat X; Department of Anesthesia, Hospital Clinic de Barcelona, Barcelona, Spain.
  • Pollard TJ; Clinical Informatics Department, Hospital Clinic de Barcelona, Barcelona, Spain.
  • Celi LA; Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Mark RG; Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Vistisen ST; Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
  • Lee HC; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Sci Data ; 11(1): 655, 2024 Jun 21.
Article em En | MEDLINE | ID: mdl-38906912
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Medicina Perioperatória Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Sci Data Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Coréia do Sul

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Medicina Perioperatória Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Sci Data Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Coréia do Sul
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