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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.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| 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 |
| Measure | Description | Time Frame |
|---|---|---|
| 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:
Regarding gender, the number of patients will be allocated in 2 groups:
| 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 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 |
| Measure | Description | Time Frame |
|---|---|---|
| Correlation 1 | Correlation between number of patients in discharge groups (survivors / dead) and age group. | 1 year |
| Correlation 2 | Correlation between number of patients in discharge groups (survivors / dead) and diagnosis on admission. |
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Inclusion Criteria:
Exclusion Criteria:
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All patients admitted to the PICU whichever is the diagnosis
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Gehad Mahmoud Abdelsalam | Contact | +201091294596 | gehad011157@med.au.edu.eg | |
| Mohammed M. Hamdy Ghazaly | Contact | +201001296603 | mohamed.ghazali1@med.au.edu.eg |
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| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 29793551 | Background | 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. | |
| 15280607 | 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. |
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| ID | Term |
|---|---|
| D016638 | Critical Illness |
| ID | Term |
|---|---|
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
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| ID | Term |
|---|---|
| D003710 | Demography |
| ID | Term |
|---|---|
| D011154 | Population Characteristics |
| D015991 | Epidemiologic Measurements |
| D011634 | Public Health |
| D004778 | Environment and Public Health |
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| 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 year |
| 1 year |
| Correlation 3 | Correlation between number of patients in discharge groups (survivors / dead) and length of stay. | 1 year |
| Correlation 4 | Correlation between number of patients in discharge groups (survivors / dead) and PRISM III score. | 1 year |
| Correlation 5 | Correlation between number of patients in discharge groups (survivors / dead) and duration of mechanical ventilation. | 1 year |