Frailty in Critical Care Unit's Patients

NCT06117462 | Unknown

• 1 other identifier: Fraility in CCU
• Study Type: observational
• Target: 116
• Locations: 0 countries
• Sites: N/A

Brief Summary

In the study ,investigator aim to evaluate the frailty syndrome in critically ill patients, in both young and old populations,to determine its imapct on outcome, and impact of ICU in fraility

Conditions

CFS

Outcome Measures

Primary Outcomes (1)

• detect the impact of frailty on outcome(hospital stay and mortality).In Critical care units patients.

  evaluate the frailty syndrome in critical care unit ,in young and old populations.CFS will report patient's basal score\[ pre intervention\] on day of admission and the outcome score at day of discharge \[5day\],score 1better than higher

  the CFS before hospital admission and at day up to 1 week of discharge from CCU, CFS mininum 1 ,maximum 9 patient's basal score[ pre intervention] on day of admission and the outcome score at day of discharge [5day],score 1better than higher

Study Arms (2)

Age above 60 eldery

group will be assessed using the Clinical Frailty Scale (CFS) giving patients who are very fit score one and those who are terminally ill score nine.

Other: Assesment of CFS

age between 18:60 young

group will be assessed using the Clinical Frailty Scale (CFS) giving patients who are very fit score one and those who are terminally ill score nine.

Other: Assesment of CFS

Interventions

Assesment of CFS OTHER

Assesment of CFS

Age above 60 eldery; age between 18:60 young

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

The initial clinical data will include socio-demographic data, comorbidities (diabetes mellitus (DM), hypertension (HTN), ischemic heart disease (IHD), chronic kidney disease (CKD), chronic liver disease, chronic pulmonary disease, or malignancy), in addition to the acute insult causing the admission. Candidates will be divided into two groups, group (A): \>60 years, and group (B) aged between 18-60 years, both groups will be assessed using the Clinical Frailty Scale (CFS) giving patients who are very fit score one and those who are terminally ill score nine.

You may qualify if:

• All ICU patients \>18 years

You may not qualify if:

• Age \<18 years

Sponsors & Collaborators

• Assiut University: lead

Related Publications (5)

• Liu Z, Kuo PL, Horvath S, Crimmins E, Ferrucci L, Levine M. A new aging measure captures morbidity and mortality risk across diverse subpopulations from NHANES IV: A cohort study. PLoS Med. 2018 Dec 31;15(12):e1002718. doi: 10.1371/journal.pmed.1002718. eCollection 2018 Dec.

  PMID: 30596641 BACKGROUND

• de Rooij SE, Govers A, Korevaar JC, Abu-Hanna A, Levi M, de Jonge E. Short-term and long-term mortality in very elderly patients admitted to an intensive care unit. Intensive Care Med. 2006 Jul;32(7):1039-44. doi: 10.1007/s00134-006-0171-0. Epub 2006 May 9.

  PMID: 16791666 BACKGROUND

• Guidet B, de Lange DW, Boumendil A, Leaver S, Watson X, Boulanger C, Szczeklik W, Artigas A, Morandi A, Andersen F, Zafeiridis T, Jung C, Moreno R, Walther S, Oeyen S, Schefold JC, Cecconi M, Marsh B, Joannidis M, Nalapko Y, Elhadi M, Fjolner J, Flaatten H; VIP2 study group. The contribution of frailty, cognition, activity of daily life and comorbidities on outcome in acutely admitted patients over 80 years in European ICUs: the VIP2 study. Intensive Care Med. 2020 Jan;46(1):57-69. doi: 10.1007/s00134-019-05853-1. Epub 2019 Nov 29.

  PMID: 31784798 BACKGROUND

• Darvall JN, Bellomo R, Bailey M, Young PJ, Rockwood K, Pilcher D. Impact of frailty on persistent critical illness: a population-based cohort study. Intensive Care Med. 2022 Mar;48(3):343-351. doi: 10.1007/s00134-022-06617-0. Epub 2022 Feb 4.

  PMID: 35119497 BACKGROUND

• Muscedere J, Waters B, Varambally A, Bagshaw SM, Boyd JG, Maslove D, Sibley S, Rockwood K. The impact of frailty on intensive care unit outcomes: a systematic review and meta-analysis. Intensive Care Med. 2017 Aug;43(8):1105-1122. doi: 10.1007/s00134-017-4867-0. Epub 2017 Jul 4.

  PMID: 28676896 BACKGROUND

Central Study Contacts

Doaa Mostafa Ibrahim

CONTACT

01141896238; doaamostafa299@gmail.com

Study Design

• Study Type: observational
• Observational Model: CASE CROSSOVER
• Time Perspective: CROSS SECTIONAL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Principle investigator , Residant doctor ,critical care unit ,internal medicine department

Study Record Dates

• First Submitted: September 28, 2023
• First Posted: November 7, 2023
• Study Start: December 1, 2023
• Primary Completion: December 1, 2024
• Study Completion: December 1, 2024
• Last Updated: November 7, 2023

Record last verified: 2023-11