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Research on intelligent diagnosis and treatment of severe patients based on multi-modal big data

Research on intelligent diagnosis and treatment of severe patients based on multi-modal big data

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300077270
Enrollment
Unknown
Registered
2023-11-02
Start date
2023-04-01
Completion date
Unknown
Last updated
2023-11-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

High heart rate

Interventions

Landiolol group:None
Esmolol group:None

Sponsors

The First Affiliated Hospital, Sun Yat-sen University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 100 Years

Inclusion criteria

Inclusion criteria: All patients used esmolol or landiolol from 2016.6-2022.12

Exclusion criteria

Exclusion criteria: 1.age less than 18 years 2.used other ß-blockers simultaneously 3.missing face sheet 4.missing heart rate data 5.missing drug starting time

Design outcomes

Primary

MeasureTime frame
28d mortality rate;—

Secondary

MeasureTime frame
Heart rate;Blood presume;Norepinephrine;—

Countries

China

Contacts

Public ContactGuan Xiangdong

The First Affiliated Hospital, Sun Yat-Sen University

ganxd@mail.sysu.edu.cn+86 138 0292 5067

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026