Literature DB >> 3431982

Simple clinical score and laboratory-based method to predict bacterial etiology of acute diarrhea in childhood.

M Fontana1, G Zuin, S Paccagnini, R Ceriani, S Quaranta, M Villa, N Principi.   

Abstract

We describe a two-step predictive method to assess the probability of bacterial etiology in cases of diarrhea. The patients are divided into three probability groups (high, intermediate, low) according to a clinical score. Thereafter the patients in the intermediate group are further assigned to the high or low probability group according to the presence or absence of fecal leukocytes. We developed the method in an initial series of 157 children with acute diarrhea; the reproducibility of the method was tested in a second series of 180 cases. Eighty-six percent of patients in the first series and 81% in the second were correctly classified by our method. We suggest its use, especially in pediatric practice, to identify children with the highest probability of bacterial diarrhea, thus reserving stool culture to a few selected cases because only a minority of children with diarrhea have a recognized bacterial etiology.

Entities:  

Mesh:

Year:  1987        PMID: 3431982

Source DB:  PubMed          Journal:  Pediatr Infect Dis J        ISSN: 0891-3668            Impact factor:   2.129


  5 in total

1.  Pediatric emergencies: newsletter 8.

Authors:  J S Surpure
Journal:  Indian J Pediatr       Date:  1988 Nov-Dec       Impact factor: 1.967

2.  Weather variables as important clinical predictors of bacterial diarrhoea among international travellers.

Authors:  Melissa A Pender; Timothy Smith; Ben J Brintz; Prativa Pandey; Sanjaya K Shrestha; Sinn Anuras; Samandra Demons; Siriporn Sornsakrin; Ladaporn Bodhidatta; James A Platts-Mills; Daniel T Leung
Journal:  J Travel Med       Date:  2022-07-14       Impact factor: 39.194

3.  Clinical predictors for etiology of acute diarrhea in children in resource-limited settings.

Authors:  Ben J Brintz; Joel I Howard; Benjamin Haaland; James A Platts-Mills; Tom Greene; Adam C Levine; Eric J Nelson; Andrew T Pavia; Karen L Kotloff; Daniel T Leung
Journal:  PLoS Negl Trop Dis       Date:  2020-10-09

4.  A modular approach to integrating multiple data sources into real-time clinical prediction for pediatric diarrhea.

Authors:  Ben J Brintz; Benjamin Haaland; Joel Howard; Dennis L Chao; Joshua L Proctor; Ashraful I Khan; Sharia M Ahmed; Lindsay T Keegan; Tom Greene; Adama Mamby Keita; Karen L Kotloff; James A Platts-Mills; Eric J Nelson; Adam C Levine; Andrew T Pavia; Daniel T Leung
Journal:  Elife       Date:  2021-02-02       Impact factor: 8.140

Review 5.  Enteric infectious disease in neonates. Epidemiology, pathogenesis, and a practical approach to evaluation and therapy.

Authors:  J S Kinney; J J Eiden
Journal:  Clin Perinatol       Date:  1994-06       Impact factor: 3.430

  5 in total

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