Literature DB >> 12729294

Evaluation of the outcome of patients admitted to the pediatric intensive care unit in Alexandria using the pediatric risk of mortality (PRISM) score.

Ahmed El-Nawawy1.   

Abstract

The aim of this prospective study was to evaluate the use of pediatric risk of mortality (PRISM) score to predict the patient outcome in Alexandria Pediatric Intensive Care Unit (PICU). The study included all admissions to a tertiary care teaching hospital for 13 months. All patients were subjected to thorough history taking and clinical examination. The PRISM score was obtained within 8 h from admission (including 14 parameters with 34 variables). The primary affected system, referral site, number of organ failure on admission, length of hospital stay (LOS) and outcome of patients were recorded. The bed occupancy rate, turnover rate, average LOS, total and adjusted death rates were also recorded. Results showed that the total and adjusted mortality rates were 50 and 38 per cent respectively (n = 205/406 and 125/326, respectively). The mean PRISM score on admission was 26. Non-survivors showed a significantly higher mean score compared with survivors (36 vs. 17). Non-survivors compared with survivors, were significantly younger (12 vs. 23 months), had shorter LOS (3.8 vs. 5.3 days), three or four organ system failure on admission (77 vs. 25 per cent, and 9 vs. 0 per cent of patients) and had significantly higher percentage of sepsis syndrome and neurological diseases, as the primary affected system (20 vs. 10 per cent and 26 vs. 16 per cent). The PRISM score showed a significant positive correlation only with the number of organ failure on admission (r = 0.8104; p < 0.001). The cut-off point of survival was a PRISM score 26 with expected/observed ratio of 1.05 for non-survivors with 91.6 per cent accuracy. Multiple logistic regression analysis revealed that PRISM score, LOS, and the primary affected system were relevant predictors of patient outcome in PICU. In conclusion, the PRISM score is proved to be a good predictor of outcome for children admitted to a PICU with a cut-off point of 26. The mortality in the PICU is affected by LOS, primary system affected, and number of organ failure on admission.

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Year:  2003        PMID: 12729294     DOI: 10.1093/tropej/49.2.109

Source DB:  PubMed          Journal:  J Trop Pediatr        ISSN: 0142-6338            Impact factor:   1.165


  10 in total

1.  Study of predictive value of pediatric risk of mortality (PRISM) score in children with end stage liver disease and fulminant hepatic failure.

Authors:  Hanaa M El-Karaksy; Mortada M El-Shabrawi; Nabil A Mohsen; Nehal M El-Koofy; Wafaa A El-Akel; Mona E Fahmy; Noha A Yassin
Journal:  Indian J Pediatr       Date:  2010-10-20       Impact factor: 1.967

2.  Use of a Mortality Prediction Model in Children on Mechanical Ventilation: A 5-Year Experience in a Tertiary University Hospital.

Authors:  Waleed H Albuali; Amal A Algamdi; Elham A Hasan; Mohammad H Al-Qahtani; Abdullah A Yousef; Mohammad A Al Ghamdi; Dalal K Bubshait; Mohammed S Alshahrani; Faisal O AlQurashi; Talal A Bou Shahmah; Bassam H Awary
Journal:  J Multidiscip Healthc       Date:  2020-11-11

3.  Pediatric Risk of Mortality III Score - Predictor of Mortality and Hospital Stay in Pediatric Intensive Care Unit.

Authors:  Amarpreet Kaur; Gurmeet Kaur; Shashi Kant Dhir; Seema Rai; Amanpreet Sethi; Avneet Brar; Paramdeep Singh
Journal:  J Emerg Trauma Shock       Date:  2020-06-10

4.  National intensive care unit bed capacity and ICU patient characteristics in a low income country.

Authors:  Arthur Kwizera; Martin Dünser; Jane Nakibuuka
Journal:  BMC Res Notes       Date:  2012-09-01

5.  Application of the pediatric risk of mortality (PRISM) score and determination of mortality risk factors in a tertiary pediatric intensive care unit.

Authors:  Graziela Araujo Costa; Arthur F Delgado; Alexandre Ferraro; Thelma Suely Okay
Journal:  Clinics (Sao Paulo)       Date:  2010       Impact factor: 2.365

6.  Impact of malnutrition on pediatric risk of mortality score and outcome in Pediatric Intensive Care Unit.

Authors:  Romi Nangalu; Puneet Aulakh Pooni; Siddharth Bhargav; Harmesh Singh Bains
Journal:  Indian J Crit Care Med       Date:  2016-07

7.  The prevalence of malnutrition during admission to the pediatric intensive care unit, a retrospective cross-sectional study at Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia.

Authors:  Semhal Getachew Teka; Rahel Argaw Kebede; Charles Sherman
Journal:  Pan Afr Med J       Date:  2022-01-27

8.  [Performance of the Pediatric Index of Mortality 2 in a pediatric intensive care unit].

Authors:  Antônio Lima Netto; Virginia Maria Muniz; Eliana Zandonade; Ethel Leonor Noia Maciel; Rodrigo Nichio Bortolozzo; Nélio Ferreira Costa; Rosane da Silva de Araujo Limongi
Journal:  Rev Bras Ter Intensiva       Date:  2014 Jan-Mar

9.  Retrospective cross-sectional review of survival rates in critically ill children admitted to a combined paediatric/neonatal intensive care unit in Johannesburg, South Africa, 2013-2015.

Authors:  Daynia E Ballot; Victor A Davies; Peter A Cooper; Tobias Chirwa; Andrew Argent; Mervyn Mer
Journal:  BMJ Open       Date:  2016-06-03       Impact factor: 2.692

10.  Prevalence of multiple organ dysfunction in the pediatric intensive care unit: Pediatric Risk of Mortality III versus Pediatric Logistic Organ Dysfunction scores for mortality prediction.

Authors:  Azza Abd Elkader El Hamshary; Seham Awad El Sherbini; HebatAllah Fadel Elgebaly; Samah Abdelkrim Amin
Journal:  Rev Bras Ter Intensiva       Date:  2017 Apr-Jun
  10 in total

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