JinhuaNSICU, an open accessible Neurosurgical Intensive Care Database

Area of Science:

• Neurosurgery
• Intensive Care Medicine
• Clinical Data Management

Background:

• Neurosurgical research often faces data limitations.
• A centralized, accessible database for neurosurgery patients is lacking.
• The Jinhua Central Hospital Neurosurgical Intensive Care Unit Database (JinhuaNSICU) addresses this gap.

Purpose of the Study:

• To introduce the JinhuaNSICU, a novel, bilingual, open-access neurosurgery patient database.
• To facilitate neurosurgical research by providing a rich, de-identified clinical dataset.
• To encourage collaboration and data sharing in the field of neurosurgery.

Main Methods:

• Compilation of a single-center database from the JinhuaNSICU.
• Inclusion of 8,773 individuals and 20,530 patient episodes.
• Collection of comprehensive data including demographics, lab tests, vital signs, microbiology, examinations, medications (including Chinese herbal), orders, operations, and anesthesia.

Main Results:

• The JinhuaNSICU database is bilingual (Chinese and English) and de-identified.
• It contains extensive clinical information covering the entire hospital stay.
• Over 26% of patients have records for more than three hospitalizations, indicating chronic or recurrent conditions.

Conclusions:

• The JinhuaNSICU database represents a significant contribution to neurosurgical data resources.
• It is poised to bridge existing data gaps and stimulate further neurosurgical research.
• The database will aid in developing clinical decision support tools and enable international data analysis.