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dc.contributor.advisorRahmani, Farzad
dc.contributor.authorGanbarie Sevari, Faezeh
dc.date.accessioned2021-03-09T08:46:33Z
dc.date.available2021-03-09T08:46:33Z
dc.date.issued2020en_US
dc.identifier.urihttp://dspace.tbzmed.ac.ir:8080/xmlui/handle/123456789/63890
dc.description.abstractAdvances in technology in the intensive care unit have provided a higher level of medical care for children and adolescents, these advances have not always been successful in improving the quality of patient care, because in some cases increasing life expectancy has increased pain and long The process of death has become wetter. At the time of admission, it is necessary to check the prognosis to determine the severity of the disease. For this purpose, a child mortality risk score can be used, which objectively expresses the severity of the disease and estimates the probability of mortality according to the patient's clinical condition. The ideal score should be easy to use, does not require extensive observer analysis, is low cost, minimally invasive, and accurate, so we decided to investigate the use of child mortality risk scores in predicting short-term child outcome in Pay the length of hospitalization in the intensive care unit (death or discharge) of Tabriz Children's Hospital. Materials and Methods: The PRISM score of all patients in the first 24 hours of PICU was assessed and recorded. Finally, patients were enrolled at discharge from the PICU (deceased or discharged alive). Demographic characteristics (age at admission to PICU and sex) Underlying disease, readmission (up to 48 hours after discharge from PICU, Multiple Organ Disorder Syndrome (MODS)), type of hospitalization (internal or surgical), presence of nosocomial infection during hospitalization, Ventilator use, vasoactive drug use, and parenteral nutrition (PNT) therapy were recorded. Then, the child mortality risk score (PRISM) in live children discharged from the intensive care unit was analyzed and the median was calculated. Results: In this study, 67 patients were studied. The mean age of these patients is 3.64 ± 2.15 years. Among these patients, 23 patients had an underlying disease. Among the underlying diseases, CP was the most common. Female gender was 32.8% and male gender was 67.2% in this study.en_US
dc.language.isofaen_US
dc.publisherTabriz University of Medical Sciences, Faculty of Medicineen_US
dc.relation.isversionofhttp://dspace.tbzmed.ac.ir:8080/xmlui/handle/123456789/63889
dc.subjectScore in the outcome predictionen_US
dc.subjectIntensive Care Uniten_US
dc.titleApplying the Pediatric Risk of Mortality Score in the outcome prediction of the children admitted to the Intensive Care Uniten_US
dc.typeThesisen_US
dc.contributor.supervisorJafarie Roohi, Amir Hosein
dc.identifier.docno609837en_US
dc.identifier.callno9837en_US
dc.description.disciplineMedicineen_US
dc.description.degreeMD Degreeen_US


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