Literature DB >> 12225501

Clinical predictors of bacterial meningitis in infants and young children in The Gambia.

Martin W Weber1, Joanna Herman, Shabbar Jaffar, Stanley Usen, Anslem Oparaugo, Charles Omosigho, Richard A Adegbola, Brian M Greenwood, E Kim Mulholland.   

Abstract

BACKGROUND: Bacterial meningitis is an important cause of childhood morbidity and mortality world-wide. In the developing world, where the burden of acute meningitis and its long-term sequelae are especially high, staff with limited training at primary health care facilities must be able to recognize the symptoms and signs of meningitis, so that suspected cases can be referred urgently to hospitals.
METHODS: Children who presented with possible invasive bacterial infection to health facilities in The Gambia, West Africa, between 1993 and 1995 were investigated in a standardized manner and clinical findings were documented. Bacterial meningitis was defined as the growth of bacteria from the cerebrospinal fluid. Clinical findings were compared between cases of meningitis and other children.
RESULTS: Of 2097 children between 2 months and 3 years of age investigated, 51 had a confirmed diagnosis of bacterial meningitis. In multivariate analysis using a model adjusting for age but not including respiratory signs, the variables associated independently with meningitis were appearance of being very sick (odds ratio for meningitis vs. no meningitis or no lumbar puncture performed (OR) 4.1, 95% CI 1.5-11.1), being lethargic or unconscious (OR 5.2, 95% CI 2.1-13), a stiff neck (OR 29.3, 95% CI 12.2-70.3), a bulging fontanel (OR 3.2, 95% CI 1.2-8.5) and reduced feeding as a prompted complaint (OR 2.9, 95% CI 1.3-6.7). A combination model of a history of convulsions, or being lethargic or unconscious, or having a stiff neck, as used in the WHO-Integrated Management of Childhood Illness (IMCI) guidelines, had a sensitivity of 98% and a specificity of 72% to predict meningitis.
CONCLUSIONS: A combination of a limited number of signs is sufficient to predict meningitis with high sensitivity, without a large number of children who do not have meningitis being unnecessarily referred.

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Year:  2002        PMID: 12225501     DOI: 10.1046/j.1365-3156.2002.00926.x

Source DB:  PubMed          Journal:  Trop Med Int Health        ISSN: 1360-2276            Impact factor:   2.622


  7 in total

1.  Predictors of acute bacterial meningitis in children from a malaria-endemic area of Papua New Guinea.

Authors:  Moses Laman; Laurens Manning; Andrew R Greenhill; Trevor Mare; Audrey Michael; Silas Shem; John Vince; William Lagani; Ilomo Hwaiwhanje; Peter M Siba; Ivo Mueller; Timothy M E Davis
Journal:  Am J Trop Med Hyg       Date:  2012-02       Impact factor: 2.345

2.  Evaluation of a TaqMan Array Card for Detection of Central Nervous System Infections.

Authors:  Clayton O Onyango; Vladimir Loparev; Shirley Lidechi; Vinod Bhullar; D Scott Schmid; Kay Radford; Michael K Lo; Paul Rota; Barbara W Johnson; Jorge Munoz; Martina Oneko; Deron Burton; Carolyn M Black; John Neatherlin; Joel M Montgomery; Barry Fields
Journal:  J Clin Microbiol       Date:  2017-04-12       Impact factor: 5.948

3.  Clinical features of bacterial meningitis among hospitalised children in Kenya.

Authors:  Christina W Obiero; Neema Mturi; Salim Mwarumba; Moses Ngari; Charles R Newton; Michaël Boele van Hensbroek; James A Berkley
Journal:  BMC Med       Date:  2021-06-04       Impact factor: 8.775

4.  Signs and symptoms in children with a serious infection: a qualitative study.

Authors:  Ann Van den Bruel; Rudi Bruyninckx; Etienne Vermeire; Peter Aerssens; Bert Aertgeerts; Frank Buntinx
Journal:  BMC Fam Pract       Date:  2005-08-26       Impact factor: 2.497

5.  Aetiological agents of cerebrospinal meningitis: a retrospective study from a teaching hospital in Ghana.

Authors:  Michael Owusu; Samuel Blay Nguah; Yaw Agyekum Boaitey; Ernest Badu-Boateng; Abdul-Raman Abubakr; Robert Awuley Lartey; Yaw Adu-Sarkodie
Journal:  Ann Clin Microbiol Antimicrob       Date:  2012-10-04       Impact factor: 3.944

6.  Predictors of long term neurological outcome in bacterial meningitis.

Authors:  Pratibha Singhi; Arun Bansal; P Geeta; Sunit Singhi
Journal:  Indian J Pediatr       Date:  2007-04       Impact factor: 5.319

7.  Empiric Treatment of Acute Meningitis Syndrome in a Resource-Limited Setting: Clinical Outcomes and Predictors of Survival or Death.

Authors:  Birkneh Tilahun Tadesse; Byron Alexander Foster; Mulugeta Sitot Shibeshi; Henok Tadele Dangiso
Journal:  Ethiop J Health Sci       Date:  2017-11
  7 in total

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