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Predictive Time-to-Event Model for Major Medical Complications After Colectomy

NCT05150548 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 130000

Last updated 2022-03-22

No results posted yet for this study

Summary

Purpose: The purpose of this study is to create prediction models for when major complications occur after elective colectomy surgery.

Justification: After surgery, patients can have multiple complications. Accurate risk prediction after surgery is important for determining an appropriate level of monitoring and facilitating patient recovery at home.

Objectives: Investigators aim to develop and internally validate prediction models to predict time-to-complication for each individual major medical complications (pneumonia, myocardial infarction (MI) (i.e. heart attacks), cerebral vascular event (CVA) (i.e. stroke), venous thromboembolism (VTE) (i.e. clots), acute renal failure (ARF) (i.e. kidney failure), and sepsis (i.e. severe infections)) or adverse outcomes (mortality, readmission) within 30-days after elective colectomy.

Data analysis: Investigators will be analyzing a data set provided by the National Surgical Quality Improvement Program (NSQIP). Descriptive statistics will be performed. Cox proportional hazard and machine learning models will be created for each complication and outcome outlined in "Objectives". The performances of the models will be assessed and compared to each other.

Conditions

  • Colorectal Cancer
  • Inflammatory Bowel Diseases
  • Diverticulitis
  • Colectomy
  • Predictive Model
  • Complications, Postoperative

Interventions

OTHER

No Intervention

Not applicable, non-interventional study

Sponsors & Collaborators

  • University of British Columbia

    lead OTHER

Principal Investigators

  • Janny Xue Chen Ke, MD · University of British Columbia

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2021-12-01
Primary Completion
2022-12-31
Completion
2022-12-31

Countries

  • Canada

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05150548 on ClinicalTrials.gov