Characterization, Risk Factors and Outcome of Neonates Admitted to Neonatal Intensive Care Units (NICU) at Sohag University Hospitals
NCT ID: NCT05809063
Last Updated: 2023-04-12
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
300 participants
OBSERVATIONAL
2023-04-01
2024-04-01
Brief Summary
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* Very early birth (birth to \< 24 hours).
* Early birth (24 hours to \< 7 days).
* Late or last neonatal period (7 days to 28 days).
It is characterized by the transition from extra uterine life and rapid growth and development. It is the common vulnerable time or period of human life as it accounts for more high mortalities and morbidities, however, most of them are preventable.
The pattern of neonatal disease is a useful indicator of the availability, utilization and effectiveness of maternal and child health care services.
It varies from place to place and from time to time even in the same locality. Information on admission and mortality patterns of hospitalized neonates should reflect the major causes of illnesses and standard of care provided to neonates in a particular locality.
To improve neonatal services with better overall outcomes and less sever morbidities early identification of the risk factors is paramount so that appropriate interventions can be directed towards the most prevalent and treatable neonatal illnesses. To achieve this goal, it is important to study the pattern of neonatal admissions
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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cardiovascular patients
neonates that have cardiovascular diseases
observational
document the number , disease pattern\& outcome of neonates admitted to the neonatal intensive care units
respiratory patients
neonates that have respiratory diseases
observational
document the number , disease pattern\& outcome of neonates admitted to the neonatal intensive care units
gastrointestinal diseases
neonates that havegastrointestinal diseases
observational
document the number , disease pattern\& outcome of neonates admitted to the neonatal intensive care units
renal patients
neonates that have renal diseases
observational
document the number , disease pattern\& outcome of neonates admitted to the neonatal intensive care units
central nervous system diseases
neonates that have central nervous system diseases
observational
document the number , disease pattern\& outcome of neonates admitted to the neonatal intensive care units
metabolic patients
neonates that have metabolic diseases
observational
document the number , disease pattern\& outcome of neonates admitted to the neonatal intensive care units
endocrinal patients
neonates that have endocrinal diseases
observational
document the number , disease pattern\& outcome of neonates admitted to the neonatal intensive care units
Interventions
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observational
document the number , disease pattern\& outcome of neonates admitted to the neonatal intensive care units
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* Neonates need preparation for advanced interventions not available in our unit like cardiac operations.
* Neonates require peritoneal dialysis.
* Traumatic injury.
1 Day
28 Days
ALL
No
Sponsors
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Sohag University
OTHER
Responsible Party
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Rofida Abdelsabor Abdelbasset
Resident of pediatric and neonatology department, Sohag University Hospitals
Locations
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Sohag University hospitals
Sohag, , Egypt
Countries
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Central Contacts
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Mohammed A Bakhet, Professor
Role: CONTACT
Facility Contacts
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Magdy M Amin, Professor
Role: primary
References
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Persson M, Shah PS, Rusconi F, Reichman B, Modi N, Kusuda S, Lehtonen L, Hakansson S, Yang J, Isayama T, Beltempo M, Lee S, Norman M; International Network for Evaluating Outcomes of Neonates. Association of Maternal Diabetes With Neonatal Outcomes of Very Preterm and Very Low-Birth-Weight Infants: An International Cohort Study. JAMA Pediatr. 2018 Sep 1;172(9):867-875. doi: 10.1001/jamapediatrics.2018.1811.
Mansoor KP, Ravikiran SR, Kulkarni V, Baliga K, Rao S, Bhat KG, Baliga BS, Kamath N. Modified Sick Neonatal Score (MSNS): A Novel Neonatal Disease Severity Scoring System for Resource-Limited Settings. Crit Care Res Pract. 2019 May 9;2019:9059073. doi: 10.1155/2019/9059073. eCollection 2019.
Dorling JS, Field DJ, Manktelow B. Neonatal disease severity scoring systems. Arch Dis Child Fetal Neonatal Ed. 2005 Jan;90(1):F11-6. doi: 10.1136/adc.2003.048488.
Other Identifiers
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Soh-Med-23-03-15MS
Identifier Type: -
Identifier Source: org_study_id
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