Literature DB >> 8986500

Meningococcal disease: a comparison of eight severity scores in 125 children.

H H Derkx1, J van den Hoek, W K Redekop, R P Bijlmer, S J van Deventer, P M Bossuyt.   

Abstract

OBJECTIVE: To investigate the accuracy of eight different prognostic scores (Stiehm, Niklasson, Leclerc, Garlund, the MOC score, Tesero, the Glasgow Meningococcal Septicaemia Prognostic Score (GMSPS) and Tüyzüs) in the prediction of fatal outcome in meningococcal disease.
DESIGN: Combined prospective and retrospective study.
SETTING: A 175-bed pediatric department of a university hospital providing secondary care to +/- 180,000 inhabitants and serving as a referral center. The Pediatric Intensive Care (14 beds) is one of the six PICUs in the Netherlands and provides tertiary care for children under 18 years. PATIENTS: During an 8-year period (1986-1994) 125 children (mean age 4 years, 10 months) with culture-proven meningococcal disease were studied: 34 patients presenting with meningitis, 33 patients with septic shock and 58 patients with meningitis and septic shock. MAIN
RESULTS: All eight scores discriminated above average between survivors and non-survivors, as expressed by the corresponding Receiver Operator Characteristic (ROC) curves. The area under the ROC curve (AUC) ranged from 0.74 for the Garlund score to 0.93 for the GMSPS. The GMSPS performed significantly better than its competitors, even after exclusion of the base deficit as one of the score components (AUC = 0.92). It showed above average calibration when logistically transformed into a probability of mortality, and accurately identified a subgroup of patients with no mortality. None of the scores correctly identified non-survivors.
CONCLUSION: The GMSPS is a simple score that can be reliably used for risk classification and the identification of low-risk patients.

Entities:  

Mesh:

Year:  1996        PMID: 8986500     DOI: 10.1007/bf01709565

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN: 0342-4642            Impact factor:   17.440


  24 in total

1.  Factors for poor prognosis in fulminating meningococcemia. Conclusions from observations of 67 childhood cases.

Authors:  A Kahn; D Blum
Journal:  Clin Pediatr (Phila)       Date:  1978-09       Impact factor: 1.168

2.  Pediatric risk of mortality (PRISM) score.

Authors:  M M Pollack; U E Ruttimann; P R Getson
Journal:  Crit Care Med       Date:  1988-11       Impact factor: 7.598

3.  Prognosis of meningococcal septicaemia.

Authors:  J F Sinclair; C H Skeoch; D Hallworth
Journal:  Lancet       Date:  1987-07-04       Impact factor: 79.321

4.  Prognostic Factors in meningococcal disease.

Authors:  P M Niklasson; P Lundbergh; T Strandell
Journal:  Scand J Infect Dis       Date:  1971

5.  A method of comparing the areas under receiver operating characteristic curves derived from the same cases.

Authors:  J A Hanley; B J McNeil
Journal:  Radiology       Date:  1983-09       Impact factor: 11.105

6.  The meaning and use of the area under a receiver operating characteristic (ROC) curve.

Authors:  J A Hanley; B J McNeil
Journal:  Radiology       Date:  1982-04       Impact factor: 11.105

7.  Construction of receiver operating characteristic curves when disease verification is subject to selection bias.

Authors:  R Gray; C B Begg; R A Greenes
Journal:  Med Decis Making       Date:  1984       Impact factor: 2.583

8.  Outcome prediction for individual intensive care patients: useful, misused, or abused?

Authors:  S Lemeshow; J Klar; D Teres
Journal:  Intensive Care Med       Date:  1995-09       Impact factor: 17.440

9.  APACHE-acute physiology and chronic health evaluation: a physiologically based classification system.

Authors:  W A Knaus; J E Zimmerman; D P Wagner; E A Draper; D E Lawrence
Journal:  Crit Care Med       Date:  1981-08       Impact factor: 7.598

Review 10.  An overview of mortality risk prediction in sepsis.

Authors:  S L Barriere; S F Lowry
Journal:  Crit Care Med       Date:  1995-02       Impact factor: 7.598

View more
  8 in total

Review 1.  Recognition, treatment and complications of meningococcal disease.

Authors:  F A Riordan; A P Thomson
Journal:  Paediatr Drugs       Date:  1999 Oct-Dec       Impact factor: 3.022

2.  Mortality in severe meningococcal disease.

Authors:  K Thorburn; P Baines; A Thomson; C A Hart
Journal:  Arch Dis Child       Date:  2001-11       Impact factor: 3.791

3.  Reduction in case fatality rate from meningococcal disease associated with improved healthcare delivery.

Authors:  R Booy; P Habibi; S Nadel; C de Munter; J Britto; A Morrison; M Levin
Journal:  Arch Dis Child       Date:  2001-11       Impact factor: 3.791

4.  Elevated procalcitonin as a diagnostic marker in meningococcal disease.

Authors:  G D Mills; H M Lala; M R Oehley; A B Craig; K Barratt; D Hood; C N Thornley; A Nesdale; N E Manikkam; P Reeve
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2006-08       Impact factor: 3.267

Review 5.  Update on meningococcal disease with emphasis on pathogenesis and clinical management.

Authors:  M van Deuren; P Brandtzaeg; J W van der Meer
Journal:  Clin Microbiol Rev       Date:  2000-01       Impact factor: 26.132

6.  A normal platelet count at admission in acute meningococcal disease does not exclude a fulminant course.

Authors:  M Van Deuren; C Neeleman; L G Van 't Hek; J W Van der Meer
Journal:  Intensive Care Med       Date:  1998-02       Impact factor: 17.440

7.  Endotoxin release and cytokine production in acute and chronic meningococcaemia.

Authors:  J M Prins; F N Lauw; B H Derkx; P Speelman; E J Kuijper; J Dankert; S J van Deventer
Journal:  Clin Exp Immunol       Date:  1998-11       Impact factor: 4.330

8.  Supporting meningitis diagnosis amongst infants and children through the use of fuzzy cognitive mapping.

Authors:  Vijay K Mago; Ravinder Mehta; Ryan Woolrych; Elpiniki I Papageorgiou
Journal:  BMC Med Inform Decis Mak       Date:  2012-09-04       Impact factor: 2.796

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.