Profile of Pediatric Patients Admitted to AU ICU

• Conditions: Critical Illness

• Registration Number: NCT04324177
• Lead Sponsor: Assiut University

Brief Summary

This study aims to determine the profile and outcome of children admitted to ICU at Assiut University children hospital in order to detect association between risk factors and outcome, to asses the efficacy of treatment making it possible to take better decisions , to improve the quality of care.

Detailed Description

Not available

Study Timeline

• Status Verified: 2020-03
• Study First Submitted: 2020-03-19
• Study First Submitted QC: 2020-03-25
• Last Update Submitted: 2020-03-25
• Study First Posted: 2020-03-27
• Last Update Posted: 2020-03-27
• Study Start: 2020-04-01
• Primary Completion: 2021-03-30
• Study Completion: 2021-05-01

Recruitment & Eligibility

• Status: UNKNOWN
• Sex: All
• Target Recruitment: 100

Inclusion Criteria

• all patients admitted to intensive care unit of Assiut University children hospital over one year aged from 1month to 18 years

Exclusion Criteria

• pediatric patients less than one month old Pediatric patients will die on arrival

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Number of patients according to the need for mechanical ventilation and its duration	1 year	The patients will be allocated in 2 groups based on the need for mechanical ventilation duringthe PICU stay. In case of need for mechanical ventilation, the duration will be recorded in days.
Number of patients according to age groups and gender	1 year	The demographic data (including age groups and gender).; Regarding age groups, the number of patients in each of three groups will be addressed: 1. 1 month to 2 years of age; 2. 2 years to 12 years of age; 3. 12 to 18 years of age"; Regarding gender, the number of patients will be allocated in 2 groups: 1. male; 2. female
Number of patients according to diagnosis on admission	1 year	Provisional diagnosis on admission categorised by the system affected (respiratory, cardiovascular, neurological, hematological, renal, endocrinal and metabolic gastrointestinal and hepatobiliary, multi system affection, others (post operative, post arrest, sepsis syndrome, malignancies, poisoning, coma of unknownorigin)). The data will be presented as number of patients in each group of system affected.
Pediatric Risk of Mortality score on admission	1 year	Pediatric Risk of Mortlaity (PRISM) III score will be obtained from all patients within the first 24 hours of admission to the PICU. The maximum total PRISM III score is 74. The higher the score, the worse the prognosis. For the analysis of mortality risk factors, patients will be allocated into two groups according to PRISM III 24 score values \>8 and ≤ 8, based on previously published data showing increased mortality risk in patients with PRISM III 24 score \>8.
Number of patients according to the condition of discharge from the pediatric intensive care unit	1 year	Number of patients discharged from the PICU allocated in 2 groups: 1. improvent and transfer to the corresponding medical ward. (Survivors); 2. death. N.B. patients who will be discharged against medical advice (DAMA) will be excluded from the proposed data analysis, but will be pointed at.
Number of patients according to referral site	1 year	The patients will be allocated in 2 groups of referral sites of patients admitted to the PICU: 1. the ward; 2. the emergency department. Data will be presented as number of patients in each group.
Length of stay in days	1 year	Length of stay in the pediatric intensive care unit (PICU) will be presented as number of days spent by the patient from admission to discharge or death.

Secondary Outcome Measures

Name	Time	Method
Correlation 1	1 year	Correlation between number of patients in discharge groups (survivors / dead) and age group.
Correlation 3	1 year	Correlation between number of patients in discharge groups (survivors / dead) and length of stay.
Correlation 2	1 year	Correlation between number of patients in discharge groups (survivors / dead) and diagnosis on admission.
Correlation 4	1 year	Correlation between number of patients in discharge groups (survivors / dead) and PRISM III score.
Correlation 5	1 year	Correlation between number of patients in discharge groups (survivors / dead) and duration of mechanical ventilation.