Development and Validation of a Preoperative Frailty Index Using Health Administrative Data

NCT03354546 | Completed Results

• 1 other identifier: DM8
• Study Type: observational
• Target: 511,285
• Locations: 0 countries
• Sites: N/A

Brief Summary

The investigators will create a frailty index using health administrative data available for older people having surgery. The index will be based on the Canadian Study of Health and Aging Frailty Index and standard recommendations for creation of frailty indices.

Conditions

Frail Elderly Syndrome; Surgery; Outcomes; Predictive Value of Tests

Outcome Measures

Primary Outcomes (1)

• Survival for One Year After Surgery

  Still being alive (no death date) in the registered persons database Outcome is binary, exposure is per 0.1 unit increase

  Date of surgery to 365 days after surgery

Secondary Outcomes (1)

• Institutional Discharge

  Date of surgery to date of hospital discharge, or up to one year after surgery (whichever comes first)

Study Arms (2)

Elective noncardiac surgery

Individuals having major noncardiac surgery following an elective hospital admission

Diagnostic Test: Frailty index

Emergency general surgery

Individuals having general surgery following an urgent hospital admission

Diagnostic Test: Frailty index

Interventions

Frailty index DIAGNOSTIC_TEST

A frailty index composed of variables from health administrative data that cover multi-system health issues. Deficits will be coded as present or absent, and the number of deficits present will be divided by the total number of deficits present to provide an overall score between 0-1.

Elective noncardiac surgery; Emergency general surgery

Eligibility Criteria

• Age: 66 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

All individuals 66 years of older on the day of their surgery

You may qualify if:

• Having elective or emergency noncardiac surgery

You may not qualify if:

• no provincial health insurance number

Sponsors & Collaborators

• Ottawa Hospital Research Institute: lead

Limitations and Caveats

Some variables underlying the pFI, such as pharmacy and home-support care data, may not be available in all data systems. Additionally, while the ACG system is the most widely used population-risk software in the world, it is not universally available, and diagnostic codes underlying its clusters are not openly disseminated. Our results represent associations, not causal relationships.

Results Point of Contact

• Title: Dr. Daniel McIsaac
• Organization: The Ottawa Hospital

dmcisaac@toh.ca

613-761-4940

Publication Agreements

• PI is Sponsor Employee: No
• Restrictive Agreement: No

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: November 17, 2017
• First Posted: November 28, 2017
• Study Start: April 1, 2002
• Primary Completion: March 31, 2016
• Study Completion: March 31, 2016
• Last Updated: September 23, 2024
• Results First Posted: September 23, 2024

Record last verified: 2024-05

Data Sharing

• IPD Sharing: Will not share