Literature DB >> 2757712

Common clinical features as predictors of bacterial diarrhea in infants.

J A Finkelstein1, J S Schwartz, S Torrey, G R Fleisher.   

Abstract

Identification of infants with bacterial diarrhea during the first year of life is important to limit potentially serious complications, but indications for stool leukocyte examination and culture are not well defined. The ability of three clinical features--temperature, history of blood in the stool, and stool frequency--to predict the presence of bacterial gastroenteritis was analyzed. Over a 1-year period, 108 (10.4%) bacterial pathogens were isolated from 1,035 infants aged less than 1 year with diarrhea. Bacterial culture was positive in 14.9% of cases from May to October, compared with 6.2% of cases from November to April. A history of blood in the stool was the best individual predictor with sensitivity of 39%, specificity of 88%, and a positive predictive value of 30%. Temperature greater than 39 degrees C had sensitivity of 34% and specificity of 85%; greater than or equal to 10 stools in 24 hours had sensitivity of 28% and specificity of 85%. Using combinations of factors, we identified (1) a group of patients at high risk for bacterial diarrhea (infants with two of the three factors studied); (2) a low-risk group (those with temperature less than or equal to 38 degrees C, less than 10 stools in 24 hours, and the absence of blood in the stool); and (3) a group at intermediate risk for bacterial diarrhea (all other patients). We recommend routine stool cultures for infants with a high-risk combination. Additional clinical and laboratory features, such as stool leukocytes, should be studied among patients in the intermediate-risk group.

Entities:  

Keywords:  Americas; Bacterial And Fungal Diseases; Biology; Body Temperature; Clinical Research; Demographic Factors; Developed Countries; Diarrhea; Diarrhea, Infantile; Diseases; Examinations And Diagnoses; Infections; Laboratory Examinations And Diagnoses; North America; Northern America; Physiology; Population; Population At Risk; Population Dynamics; Research Methodology; Seasonal Variation; United States

Mesh:

Year:  1989        PMID: 2757712     DOI: 10.1016/0735-6757(89)90247-7

Source DB:  PubMed          Journal:  Am J Emerg Med        ISSN: 0735-6757            Impact factor:   2.469


  5 in total

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Authors:  Jacqueline R Dalby-Payne; Elizabeth J Elliott
Journal:  BMJ Clin Evid       Date:  2009-09-23

2.  Differential yield of pathogens from stool testing of nosocomial versus community-acquired paediatric diarrhea.

Authors:  S Deorari; A McConnell; K K Tan; N Jadavji; D Ma; D Church; G Katzko; D G Gall; T Jadavji; H D Davies
Journal:  Can J Infect Dis       Date:  1999-11

Review 3.  An evidence and consensus based guideline for acute diarrhoea management.

Authors:  K Armon; T Stephenson; R MacFaul; P Eccleston; U Werneke
Journal:  Arch Dis Child       Date:  2001-08       Impact factor: 3.791

Review 4.  Gastroenteritis in children.

Authors:  Jacqueline R Dalby-Payne; Elizabeth J Elliott
Journal:  BMJ Clin Evid       Date:  2011-07-26

5.  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

  5 in total

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