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  • 1
    ISSN: 1432-1076
    Keywords: Infant ; Fever ; Bacterial infection ; Logistic regression
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract Low risk criteria have been defined to identify febrile infants unlikely to have serious bacterial infection (SBI). Using these criteria approximately 40% of all febrile infants can be defined as being at low risk. Of the remaining infants (60%) only 10%–20% have an SBI. No adequate criteria exist to identify these infants. All infants aged 2 weeks-1 year, presenting during a 1-year-period with rectal temperature ≥38.0°C to the Sophia Children's Hospital were included in a prospective study. Infants with a history of prematurity, perinatal complications, known underlying disease, antibiotic treatment or vaccination during the preceding 48 h were excluded. Clinical and laboratory variables at presentation were evaluated by a multivariate logistic regression model using SBI as the dependent variable. By using likelihood ratios a predictive model was derived, providing a post test probability of SBI for every individual patient. Of the 138 infants included in the study, 33 (24%) had SBI. Logistic regression analysis defined C-reactive protein (CRP), duration of fever, a standardized clinical impression score, a history of diarrhoea and focal signs of infection as independent predictors of SBI. Conclusion CRP, duration of fever, the “standardized clinical impression score”, a history of diarrhoea and focal signs of infection were the independent, most powerful predictors of SBI in febrile infants, identified by logistic regression analysis. Although the predictive model is not validated for direct clinical use, it illustrates the clinical potential of the used technique. This technique offers the advantage to assess the probability of SBI in every individual infant. This probability will form the best basis for well-founded decisions in the management of the individual febrile infant.
    Type of Medium: Electronic Resource
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  • 2
    ISSN: 1432-1076
    Keywords: Key words Convulsions ; Risk factor ; Diagnostic test ; Routine ; Logistic model
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract We developed a predictive model to assess the probability of normal biochemical blood test results in children presenting with a seizure associated with fever. The models were based on various combinations of patient characteristics of the history and physical examination of 203 children. The characteristics included gender, age in years, previous history of febrile seizures, family history of febrile seizures, fever previous to the seizure, vomiting and diarrhoea previous to the seizure. Further, clinical characteristics of the seizure were considered: focal seizure signs, multiple seizure, seizure duration and rectal temperature at seizure. The outcome was defined as normal test results of serum levels of sodium (n=115, 68%), calcium (n=149, 89%) and glucose (n = 173, 100%), according to the hospital reference values. The prevalence of abnormal test results was rather low and the abnormalities were outside the morbidity range. We used logistic regression to relate the outcome to the several clinical characteristics. The discriminative ability of the models was 0.63 (area under the receiver operating characteristic curve of the model predicting normal sodium), 0.66 (normal calcium) and 0.66 (both normal). The score chart we constructed is an additional tool to a carefully performed patient history and physical examination and it may help to decide if a biochemical test is indicated for the individual patient. Conclusion In children with seizures associated with fever, abnormal biochemical blood test results are rare and outside the morbidity range. The biochemical tests are generally not required. In children with a low probability of a normal result as calculated by the score chart, the test may be indicated.
    Type of Medium: Electronic Resource
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  • 3
    ISSN: 1432-1076
    Keywords: Key words Febrile seizures ; Genetics ; Family ; Risk factors
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract To quantify the risk of febrile seizures (FS) in relatives of children with FS and to predict the risk of FS in siblings, we calculated cumulative risks of FS in first degree relatives of 129 children with FS. The study was conducted as a prospective follow up study of FS recurrences at the outpatient clinic of the Sophia Children's Hospital in Rotterdam. Thirteen parents and 12 siblings had experienced FS, accounting for a 6-year cumulative risk of 7%. The risk of FS was increased in relatives of children with recurrent FS (12%). The risk of FS in siblings (10%) in our study was more than twice the average risk in a similar population (4%). A positive FS history in a parent, young age at onset in the proband, and recurrences in the proband were selected in a multivariable prediction model. If two or more of these risk factors were present, the risk of West European siblings to develop FS was 46% (hazard ratio 5.4). Conclusion The cumulative risk of FS in siblings of children with FS is increased. The age attained risk of FS can be estimated using a practical model incorporating three readily available risk factors.
    Type of Medium: Electronic Resource
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  • 4
    Electronic Resource
    Electronic Resource
    Springer
    Pharmacy world & science 3 (1981), S. 522-524 
    ISSN: 1573-739X
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
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