Impact of Age on Mortality in Critically Ill Adult Patients in Nepal- a Single Center Retrospective Study of 5 Years.
1 other identifier
observational
8,189
1 country
1
Brief Summary
Rationale: Age is often considered a strong factor that determines the outcomes in critically ill patients. In a resource limited low middle income country (LMIC) like Nepal, the age factor is often considered when making treatment decisions by family especially when considering limiting treatment modalities. Whether or not this consideration of age for outcome prediction is appropriate however is a different discussion especially considering the fact that actual data from Nepalese ICUs are missing. Study Objective: To find the impact of age on mortality in critically ill patients. Design: A registry based, retrospective, descriptive study. Sample size: Convenience sampling of all the patients who are admitted to the ICU. Duration: Retrospective data from the 5-year period between November, 2019 to December, 2024. Place: Intensive care units (ICUs), Tribhuvan University Teaching Hospital (TUTH). Interventions: Not applicable Expected results: The study will help determine the mortality of the critically ill adult patients in terms of age.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Nov 2019
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
November 1, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2024
CompletedFirst Submitted
Initial submission to the registry
March 15, 2025
CompletedFirst Posted
Study publicly available on registry
March 21, 2025
CompletedMarch 25, 2025
March 1, 2025
5.2 years
March 15, 2025
March 20, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
All cause ICU mortality
* To determine the all cause ICU mortality among rates among patients in ICU grouped according to Medical Subject Heading(MeSH) * Young adult: 19-24 years * Adult: 25-44 years * Middle aged: 45-64 years * Older adult (Senior): \>65 years * To determine the all cause ICU mortality among rates among patients in ICU grouped into decades * To determine the all cause ICU mortality among rates among patients \>65 years in ICU according to WHO classification of elderly * Young-old: 60-74 years * Old-old: 75- 84 years * Oldest-Old: \>85 years
2019, November to 2024 December
Study Arms (4)
Young adult
Patients admitted to the ICU in the age group less than 24
Adult
Adults of the age group 25-44
Middle age
Patients of the age group 45-64
Older adult
Patients of the age group \>65 years
Eligibility Criteria
All patients admitted to the ICUs of Tribhuvan University Teaching Hospital will be enrolled for this registry based retrospective study
You may qualify if:
- Age\>18 years Admission to the ICU
You may not qualify if:
- None
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Tribhuvan University Teaching Hospital
Mahārājgañj, Bagmati, 44600, Nepal
Study Design
- Study Type
- observational
- Observational Model
- CASE ONLY
- Time Perspective
- PROSPECTIVE
- Target Duration
- 1 Day
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principle Investigator
Study Record Dates
First Submitted
March 15, 2025
First Posted
March 21, 2025
Study Start
November 1, 2019
Primary Completion
December 31, 2024
Study Completion
December 31, 2024
Last Updated
March 25, 2025
Record last verified: 2025-03
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, CSR
- Time Frame
- March 2025- December 2025
- Access Criteria
- All the de-identified patient data from the registry will be available to data handlers who will enter it in a format suitable for statistical analysis which will be available for the statistician for analysis.
The de-identified patient data may be shared with the statistician for statistical analysis