Viewing Study NCT04264351


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Study NCT ID: NCT04264351
Status: COMPLETED
Last Update Posted: 2023-09-18
First Post: 2019-01-03
Is NOT Gene Therapy: True
Has Adverse Events: False

Brief Title: Frailty, Anesthesia and Complications.
Sponsor: Fundacio Puigvert
Organization:

Study Overview

Official Title: Frailty, Anesthesia and Complications in an Urological Setting.
Status: COMPLETED
Status Verified Date: 2023-09
Last Known Status: None
Delayed Posting: No
If Stopped, Why?: Not Stopped
Has Expanded Access: False
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: FRAC
Brief Summary: Objectives: To assess the prevalence of frailty in patients older than 70 y/o in nephrourologic surgery. To study if preoperative frailty is an independent predictor of immediate postoperative complications, after 30 days, 6 months and 1 year of follow-up. To detect if there are other independent risk factors for complications.
Detailed Description: Objectives: To assess the prevalence of frailty in patients older than 70 y/o in nephrourologic surgery. To study if preoperative frailty is an independent predictor of immediate postoperative complications, after 30 days, 6 months and 1 year of follow-up. To detect if there are other independent risk factors for complications.

Methods: prospective cohort study performed at Fundació Puigvert. Enrollment of 850 patients ≥70 y/o who undergo scheduled nephrourologic surgery. In the preoperative visit frailty is going to be evaluated using the Short Physical Performance Battery (SPPB), the Canadian Frailty Scale, the Mini-Cog test (Memory an executive functions), the Pfeiffer Test (Cognitive global screening), an involuntary loss of more than 4.5kg or 5% of weight in the previous year and physical activity using the Metabolic Equivalents of Task (MET). We will analyse the relation among frailty, medical, surgical postoperative complications and mortality at 30 days, 6 months and one year after the surgery.

The results will be adjusted by the possible confounding and interaction variables using a multivariate logistic regression model. The confounding /interaction variables will include demographic data, clinical and lab data and events arisen during the follow-up period.

Study Oversight

Has Oversight DMC: False
Is a FDA Regulated Drug?: False
Is a FDA Regulated Device?: False
Is an Unapproved Device?: None
Is a PPSD?: None
Is a US Export?: None
Is an FDA AA801 Violation?: