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Descriptive and Risk Factors Analysis of All-cause Postoperative Death in Patients Undergoing Elective Surgery

H

Huazhong University of Science and Technology

Status

Unknown

Conditions

Postoperative Death

Study type

Observational

Funder types

Other

Identifiers

Details and patient eligibility

About

The investigators are aimed to develop and externally validate a prediction model of clinical risk factors that quantifies postoperative death after elective surgery.

We identify all patients treated with elective surgery, between 2000 and 2020, within the Wuhan Union hospital and all collaborators. The surgical patient cohort will be matched with the National Death database to determine the patient's postoperative death data.

60% patients were randomly selected to the development cohort. Logistic regression analysis for prediction of postoperative death adjusted for different covariates. The model was externally validated in the remaining 40% patients.

Enrollment

1,000,000 estimated patients

Sex

All

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Patients Undergoing Elective Surgery

Exclusion criteria

  • Patients with incomplete electronic medical record information

Trial contacts and locations

5

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Data sourced from clinicaltrials.gov

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