Literature DB >> 31073431

Comparison of Severity Scoring Systems in a Pediatric Intensive Care Unit in India: A Single-Center Prospective, Observational Cohort Study.

Vinayak K Patki1, Sandeep Raina2, Jennifer V Antin2.   

Abstract

Objective The aim of this study is to validate Pediatric Risk of Mortality (PRISM) and Pediatric Index of Mortality (PIM) scoring systems in a pediatric intensive care unit (PICU) in India. Design This is a single-center prospective cohort study. Setting This study was conducted at an eight-bed PICU. Methods PRISM- and PIM-based predicted mortality rates were calculated and compared in 120 pediatric patients. Results Estimated mortality using PRISM (5.68%) and PIM (8.84%) was lower than observed (21.7%) mortality. PIM had slightly better power of calibration than PRISM. The discriminatory performance of both models was comparable. Conclusion Both models can be validated with suitable changes according to PICU settings of India.

Entities:  

Keywords:  PICU; PIM; PRISM; critically ill children

Year:  2016        PMID： 31073431      PMCID： PMC6260256          DOI： 10.1055/s-0036-1584811

Source DB:  PubMed          Journal:  J Pediatr Intensive Care        ISSN： 2146-4626


  25 in total

1.  Calibration of the paediatric index of mortality in UK paediatric intensive care units.

Authors:  G A Pearson; J Stickley; F Shann
Journal:  Arch Dis Child       Date:  2001-02       Impact factor: 3.791

2.  [Comparison of two prognostic scores (PRISM and PIM) at a pediatric intensive care unit].

Authors:  Vanessa Feller Martha; Pedro Celiny Ramos Garcia; Jefferson Pedro Piva; Paulo Roberto Einloft; Francisco Bruno; Viviane Rampon
Journal:  J Pediatr (Rio J)       Date:  2005 May-Jun       Impact factor: 2.197

3.  Assessment of the Pediatric Index of Mortality (PIM) and the Pediatric Risk of Mortality (PRISM) III score for prediction of mortality in a paediatric intensive care unit in Hong Kong.

Authors:  K M S Choi; D K K Ng; S F Wong; K L Kwok; P Y Chow; C H Chan; J C S Ho
Journal:  Hong Kong Med J       Date:  2005-04       Impact factor: 2.227

4.  Prediction of mortality by application of PRISM score in intensive care unit.

Authors:  D Singhal; N Kumar; J M Puliyel; S K Singh; V Srinivas
Journal:  Indian Pediatr       Date:  2001-07       Impact factor: 1.411

5.  Reliability of PRISM and PIM scores in paediatric intensive care.

Authors:  J G van Keulen; K H Polderman; R J B J Gemke
Journal:  Arch Dis Child       Date:  2005-02       Impact factor: 3.791

6.  The Comparison of PRISM and PIM scoring systems for mortality risk in infantile intensive care.

Authors:  Esra Arun Ozer; Asli Kizilgunesler; Berrak Sarioglu; Oya Halicioglu; Sumer Sutcuoglu; Isin Yaprak
Journal:  J Trop Pediatr       Date:  2004-12       Impact factor: 1.165

7.  Signs of inflammation in children that can kill (SICK score): preliminary prospective validation of a new non-invasive measure of severity-of-illness.

Authors:  S Bhal; V Tygai; N Kumar; V Sreenivas; J M Puliyel
Journal:  J Postgrad Med       Date:  2006 Apr-Jun       Impact factor: 1.476

Review 8.  Severity of illness and organ dysfunction scoring in children.

Authors:  Jacques Lacroix; Jacques Cotting
Journal:  Pediatr Crit Care Med       Date:  2005-05       Impact factor: 3.624

9.  Prospective evaluation of the Paediatric Risk of Mortality (PRISM) score.

Authors:  G Balakrishnan; T Aitchison; D Hallworth; N S Morton
Journal:  Arch Dis Child       Date:  1992-02       Impact factor: 3.791

10.  The suitability of the Pediatric Index of Mortality (PIM), PIM2, the Pediatric Risk of Mortality (PRISM), and PRISM III for monitoring the quality of pediatric intensive care in Australia and New Zealand.

Authors:  Anthony Slater; Frank Shann
Journal:  Pediatr Crit Care Med       Date:  2004-09       Impact factor: 3.624
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  3 in total

1.  Predictive Efficacy of Pediatric Logistic Organ Dysfunction-2 Score in Pediatric Intensive Care Unit of Rural Hospital.

Authors:  Tejaswini Deshmukh; Ashish Varma; Sachin Damke; Revat Meshram
Journal:  Indian J Crit Care Med       Date:  2020-08

2.  Comparison of pediatric scoring systems for mortality in septic patients and the impact of missing information on their predictive power: a retrospective analysis.

Authors:  Christian Niederwanger; Thomas Varga; Tobias Hell; Daniel Stuerzel; Jennifer Prem; Magdalena Gassner; Franziska Rickmann; Christina Schoner; Daniela Hainz; Gerard Cortina; Benjamin Hetzer; Benedikt Treml; Mirjam Bachler
Journal:  PeerJ       Date:  2020-10-05       Impact factor: 2.984

3.  Does Pediatric Index of Mortality "Score" in Colombia?

Authors:  Sarfaraz Rahiman
Journal:  Indian J Crit Care Med       Date:  2020-11
  3 in total

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