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CTRI Number  CTRI/2021/02/031503 [Registered on: 23/02/2021] Trial Registered Prospectively
Last Modified On: 03/07/2023
Post Graduate Thesis  No 
Type of Trial  Observational 
Type of Study   Cohort Study 
Study Design  Other 
Public Title of Study   Frailty among intensive care patients and its impact on clinical outcomes  
Scientific Title of Study   Frailty among critically ill patients in India: Prevalence and association with patient-centered outcomes 
Trial Acronym  None 
Secondary IDs if Any  
Secondary ID  Identifier 
NIL  NIL 
 
Details of Principal Investigator or overall Trial Coordinator (multi-center study)  
Name  Bharath Kumar Tirupakuzhi Vijayaraghavan 
Designation  Consultant 
Affiliation  Apollo Hospitals, Chennai, India 
Address  Department of Critical Care Medicine, 2nd Floor, Apollo Main Hospital, 21 Greams Lane, Chennai, India
Greams Road
Chennai
TAMIL NADU
600004
India 
Phone  9591100655  
Fax    
Email  bharath@icuconsultants.com  
 
Details of Contact Person
Scientific Query
 
Name  Bharath Kumar Tirupakuzhi Vijayaraghavan 
Designation  Consultant 
Affiliation  Apollo Hospitals, Chennai, India 
Address  Department of Critical Care Medicine, 2nd Floor, Apollo Main Hospital, 21 Greams Lane, Chennai, India
Greams Road
Chennai
TAMIL NADU
600004
India 
Phone  9591100655  
Fax    
Email  bharath@icuconsultants.com  
 
Details of Contact Person
Public Query
 
Name  Bharath Kumar Tirupakuzhi Vijayaraghavan 
Designation  Consultant 
Affiliation  Apollo Hospitals, Chennai, India 
Address  Department of Critical Care Medicine, 2nd Floor, Apollo Main Hospital, 21 Greams Lane, Chennai, India
Greams Road
Chennai
TAMIL NADU
600004
India 
Phone  9591100655  
Fax    
Email  bharath@icuconsultants.com  
 
Source of Monetary or Material Support  
Apollo Hospitals Educational and Research Foundation- no monetary support  
 
Primary Sponsor  
Name  Apollo Hospitals Educational and Research Foundation 
Address  2nd Floor, Krishnadeep Chambers, Number 1, Wallace Garden, Chennai- 600006 
Type of Sponsor  Research institution 
 
Details of Secondary Sponsor  
Name  Address 
NIL  NIL 
 
Countries of Recruitment     India  
Sites of Study  
No of Sites = 1  
Name of Principal Investigator  Name of Site  Site Address  Phone/Fax/Email 
Bharath Kumar Tirupakuzhi Vijayaraghavan  Apollo Main Hospital  Department of Critical Care Medicine, Apollo Main Hospital, 2nd Floor, 21 Greams Lane, Chennai
Chennai
TAMIL NADU 
9591100655

bharath@icuconsultants.com 
 
Details of Ethics Committee  
No of Ethics Committees= 1  
Name of Committee  Approval Status 
Institutional Ethics Committee- Biomedical Research  Approved 
 
Regulatory Clearance Status from DCGI  
Status 
Not Applicable 
 
Health Condition / Problems Studied  
Health Type  Condition 
Patients  (1) ICD-10 Condition: J22||Unspecified acute lower respiratory infection,  
 
Intervention / Comparator Agent  
Type  Name  Details 
Intervention  There is no intervention. But the exposure group is frail patients   Nil  
Comparator Agent  There is no interventon- but the comparator group is non-frail patients   Nil 
 
Inclusion Criteria  
Age From  18.00 Year(s)
Age To  99.00 Year(s)
Gender  Male 
Details  Adult critically ill patients ( age more than or equal to 18 and upto 99 years)

Admitted to the ICU

 
 
ExclusionCriteria 
Details  If length of stay is less than 48hrs 
 
Method of Generating Random Sequence   Not Applicable 
Method of Concealment   Not Applicable 
Blinding/Masking   Not Applicable 
Primary Outcome  
Outcome  TimePoints 
Prevalence of frailty at the time of ICU admission   Prevalence of frailty at the time of ICU admission (i.e. day 1) 
 
Secondary Outcome  
Outcome  TimePoints 
Association between frailty and ICU mortality up to28days  28 days  
 
Target Sample Size   Total Sample Size="800"
Sample Size from India="800" 
Final Enrollment numbers achieved (Total)= "838"
Final Enrollment numbers achieved (India)="838" 
Phase of Trial   N/A 
Date of First Enrollment (India)   28/02/2021 
Date of Study Completion (India) 26/12/2021 
Date of First Enrollment (Global)  Date Missing 
Date of Study Completion (Global) Date Missing 
Estimated Duration of Trial   Years="2"
Months="0"
Days="0" 
Recruitment Status of Trial (Global)
Modification(s)  
Not Applicable 
Recruitment Status of Trial (India)  Completed 
Publication Details   Trial yet to start 
Individual Participant Data (IPD) Sharing Statement

Will individual participant data (IPD) be shared publicly (including data dictionaries)?  

Response - YES
  1. What data in particular will be shared?
    Response - Individual participant data that underlie the results reported in this article, after de-identification (text, tables, figures, and appendices).

  2. What additional supporting information will be shared?
    Response -  Study Protocol
    Response -  Statistical Analysis Plan
    Response - Informed Consent Form
    Response - Clinical Study Report
    Response -  Analytic Code

  3. Who will be able to view these files?
    Response - Researchers who provide a methodologically sound proposal.

  4. For what types of analyses will this data be available?
    Response - To achieve aims in the approved proposal.

  5. By what mechanism will data be made available?
    Response (Others) -  Email the PI: bharath@icuconsultants.com with a sound proposal

  6. For how long will this data be available start date provided 01-01-2023 and end date provided 31-12-2028?
    Response - Immediately following publication. No end date.

  7. Any URL or additional information regarding plan/policy for sharing IPD? 
    Additional Information - NIL
Brief Summary   Our prospective registry-embedded observational study will evaluate the prevalence of frailty at ICU admission and test the association between admission frailty and ICU outcomes. We will include all adult critically ill patients admitted to the ICU during the study period. Our estimated sample size is 800 and study duration is 2 years. 

Objectives:

1.      Quantify the prevalence of frailty among critically ill adults admitted to 4 ICUs.

2.      Quantify the association between frailty and ICU mortality

3.      Determine factors associated with frailty

 

Research Questions:

Among critically ill adults admitted to 4 intensive care units in India:

1.      What is the prevalence of frailty?

2.      Is there an association between frailty and ICU mortality?

3.      What factors are associated with frailty at ICU admission?



Inclusion Criteria:

-        Adult patients (≥ 18 years old)

-        Admitted to the intensive care unit from the emergency room/ or from the inpatient ward

-        

Exclusion criteria: Lack of informed consent 

Statistical Analysis:

Hypotheses: Frailty is associated with worse outcomes, specifically higher ICU mortality.

Null hypothesis: There is no difference between the frail and non-frail in ICU mortality.

Alternate hypothesis: There is a difference between frail and non-frail critically ill patients in ICU mortality.


Sample size and power:

Based on data from high-income countries, the prevalence of frailty is ranges from 25 to 30%.4,7 There is no data on the prevalence of frailty among critically ill patients in India. One study from the community documented a prevalence of 26%5. In feasibility work led by us (unpublished data), the total proportion of vulnerable (11%) and frail patients (8%) was 19%. For the purposes of sample size calculation, we will hence assume a prevalence of frailty of 10%.

In our setting, baseline mortality is 20%.  For sample size calculation we assumed that the risk is 15% higher in the frail cohort (i.e. 35% would die). We set the significance level to 5% and the type 2 error at 10%.

Based on this framework, we estimated a desired sample size of 720 patients. Assuming a 10% loss to follow-up, we inflated our sample size to 800 patients. 


Analytic approach:

We will report categorical variables as percentages and continuous variables as mean ± SD or median and IQR (for skewed data). We will describe the prevalence of frailty in our cohort. We will analyse the association between frailty and mortality using a chi square test and develop a multivariable logistic regression model to adjust for potential confounders. All analyses will be two-tailed and will be performed using Stata 14.

For analysis of risk factors associated with frailty, candidate variables were chosen based on previous research or based on biological and contextual probability. Stepwise logistic regression will be performed to select independent predictors of frailty in this cohort.

 




 


 
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