Frailty Clinical Trial
Official title:
Which is a Better Measure of Frailty in Perioperative Setting: Deficit Accumulation Model or Phenotype Model?
NCT number | NCT02838511 |
Other study ID # | 14-1241 |
Secondary ID | |
Status | Completed |
Phase | |
First received | |
Last updated | |
Start date | January 2015 |
Est. completion date | September 2019 |
Verified date | October 2019 |
Source | The Cleveland Clinic |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
Though most physicians believe they can identify frail patients, frailty is a poorly
characterized and complex clinical syndrome. Frailty has been categorized four dimensions by
de Vries et al: 1) physical (physical activity, nutrition, mobility, strength and energy); 2)
biochemical (nutritional and inflammatory biomarkers); 3) psychological (cognition and mood);
and, 4) social (social contact and support). 1 However, the pathophysiology of frailty
remains unclear. Two broad hypotheses have been proposed.
Deficit accumulation model: This hypothesis assumes that frailty occurs due to accumulation
and additive effect of multiple deficits, which occur across various domains. The more
deficits a person has, the more likely that person is to be frail. Frailty in this paradigm
is thus measured by identifying the number of positive factors/ deficits from a list. This is
used to create a proportional index of deficits, expressed as the ratio of deficits present
to the total number of deficits considered.
Many studies have used a modified frailty index (MFI) with 11 factors, which has shown to
correlate well with patient outcomes after surgery.
Phenotype model: Fried et al in 2001 proposed a phenotype based model, in which she
identified various clinical features that define frailty as a clinical syndrome. This
criterion, known as Fried index, consists of 5 factors- shrinking, weakness, exhaustion,
slowness, and low physical activity level. The Fried index is the most commonly used
phenotype-based assessment tool to evaluate frailty. An advantage is its ease-of use during
preoperative visits. Measurement of these factors in a perioperative setting was further
characterized by Makary et al in 2010, and was the basis for the Hopkins Frailty Score (HFS).
Currently, there exists no gold standard for assessment of frailty, especially in the
perioperative setting. In the absence of a well-accepted gold standard, a measurement of
frailty which would predict adverse postoperative outcomes would be useful. However, no study
has compared the prognostic abilities of HFS and MFI, after non-cardiac surgery.
All adult patients presenting to pre anesthesia evaluation clinic (PACE) at Cleveland Clinic
main campus will be included in the this prospective observational cohort study. Frailty
would be evaluated prospectively using HFS and components of MFI will be obtained from
Cleveland Clinic Perioperative Health Documentation System registry (PHDS).
Status | Completed |
Enrollment | 1190 |
Est. completion date | September 2019 |
Est. primary completion date | August 2019 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility |
Inclusion Criteria: - adult patients (18-100 years of age) - patients presenting to the PACE clinic for non cardiac surgery Exclusion Criteria: - children (under 18 years of age) - patients presenting to the PACE clinic for cardiac surgery |
Country | Name | City | State |
---|---|---|---|
United States | Cleveland Clinic | Cleveland | Ohio |
Lead Sponsor | Collaborator |
---|---|
The Cleveland Clinic |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Days in Hospital | total number of days spent by patient in the hospital within 30 days of non-cardiac surgery | 30 days after non-cardiac surgery |
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