Profile of Pediatric Patients Admitted to AU ICU

NCT04324177 | Unknown

• 1 other identifier: gehad011157
• Study Type: observational
• Target: 100
• Locations: 0 countries
• Sites: N/A

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.

Conditions

Critical Illness

Outcome Measures

Primary Outcomes (7)

• Number of patients according to age groups and gender

  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

  1 year

• Number of patients according to diagnosis on admission

  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.

  1 year

• Number of patients according to referral site

  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.

  1 year

• Number of patients according to the need for mechanical ventilation and its duration

  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.

  1 year

• Length of stay in days

  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.

  1 year

• Pediatric Risk of Mortality score on admission

  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.

  1 year

• Number of patients according to the condition of discharge from the pediatric intensive care unit

  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.

  1 year

Secondary Outcomes (5)

• Correlation 1

  1 year

• Correlation 2

  1 year

• Correlation 3

  1 year

• Correlation 4

  1 year

• Correlation 5

  1 year

Interventions

Demographic data, morbidity data OTHER

To detect association between the demographic data of pediatric patients including age ,sex,hospital stay and clinical data including the diagnosis and co morbidity with the outcome of pediatric patients admitted to ICU of Assiut University children hospital

Eligibility Criteria

• Age: 1 Month - 18 Years
• Sex: all
• Age Groups: Child (0-17), Adult (18-64)
• Sampling Method: Non-Probability Sample

Study Population

All patients admitted to the PICU whichever is the diagnosis

You may qualify if:

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

You may not qualify if:

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

Sponsors & Collaborators

• Assiut University: lead

Related Publications (2)

• Haftu H, Hailu T, Medhaniye A, G/Tsadik T. Assessment of pattern and treatment outcome of patients admitted to pediatric intensive care unit, Ayder Referral Hospital, Tigray, Ethiopia, 2015. BMC Res Notes. 2018 May 24;11(1):339. doi: 10.1186/s13104-018-3432-4.

  PMID: 29793551 BACKGROUND

• Khilnani P, Sarma D, Singh R, Uttam R, Rajdev S, Makkar A, Kaur J. Demographic profile and outcome analysis of a tertiary level pediatric intensive care unit. Indian J Pediatr. 2004 Jul;71(7):587-91. doi: 10.1007/BF02724117.

  PMID: 15280607 BACKGROUND

MeSH Terms

Conditions

Critical Illness

Interventions

Demography

Condition Hierarchy (Ancestors)

Disease Attributes; Pathologic Processes; Pathological Conditions, Signs and Symptoms

Intervention Hierarchy (Ancestors)

Population Characteristics; Epidemiologic Measurements; Public Health; Environment and Public Health

Central Study Contacts

Gehad Mahmoud Abdelsalam

CONTACT

+201091294596; gehad011157@med.au.edu.eg

Mohammed M. Hamdy Ghazaly

CONTACT

+201001296603; mohamed.ghazali1@med.au.edu.eg

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Principal investigator

Study Record Dates

• First Submitted: March 19, 2020
• First Posted: March 27, 2020
• Study Start: April 1, 2020
• Primary Completion: March 30, 2021
• Study Completion: May 1, 2021
• Last Updated: March 27, 2020

Record last verified: 2020-03