Factors predictive of response to interferon therapy in children with chronic hepatitis B. 1995

M Ruiz-Moreno, and T Camps, and J Jimenez, and R López, and I Castillo, and J Bartolomé, and V Carreño
Department of Pediatrics, Fundación Jiménez Diaz, Madrid, Spain.

OBJECTIVE The efficacy of interferon therapy in Caucasian children with chronic hepatitis B is similar to that in adults. However, little information is available about factors predicting response to this therapy in children. We have performed a univariate analysis to assess the strength of association between basal variables and response, and a multivariate analysis to determine the combination of basal variables which give the best prediction of response in terms of sensitivity and specificity. METHODS The basal parameters were studied in 50 children included in three different trials of interferon alpha therapy (360-700 MU/square meter of body surface, 2 or 3 times weekly for 12 to 24 weeks). RESULTS Of these, 18 (36%) were responders. In the univariate analysis, a higher histological activity (p < 0.05), a lower percentage of HBcAg-stained hepatocytes (p < 0.001), aspartate amino transferase and alanine aminotransferase levels (p < 0.05) and alanine aminotransferase peak prior to serum HBV-DNA clearance (p < 0.05), were associated to the response. In the multivariate analysis, the combinations of the percentage of HBcAg stained cells with alanine aminotransferase levels and with the histological activity index were the best variables for predicting response (sensitivity: 100% and specificity: 89% and 86%, respectively). CONCLUSIONS Factors predictive of response in children with chronic hepatitis B are similar to those found in adults, and may help in identifying those children with a better chance of responding.

UI MeSH Term Description Entries
D008297 Male Males
D011237 Predictive Value of Tests In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test. Negative Predictive Value,Positive Predictive Value,Predictive Value Of Test,Predictive Values Of Tests,Negative Predictive Values,Positive Predictive Values,Predictive Value, Negative,Predictive Value, Positive
D002648 Child A person 6 to 12 years of age. An individual 2 to 5 years old is CHILD, PRESCHOOL. Children
D002908 Chronic Disease Diseases which have one or more of the following characteristics: they are permanent, leave residual disability, are caused by nonreversible pathological alteration, require special training of the patient for rehabilitation, or may be expected to require a long period of supervision, observation, or care (Dictionary of Health Services Management, 2d ed). For epidemiological studies chronic disease often includes HEART DISEASES; STROKE; CANCER; and diabetes (DIABETES MELLITUS, TYPE 2). Chronic Condition,Chronic Illness,Chronically Ill,Chronic Conditions,Chronic Diseases,Chronic Illnesses,Condition, Chronic,Disease, Chronic,Illness, Chronic
D005260 Female Females
D006509 Hepatitis B INFLAMMATION of the LIVER in humans caused by a member of the ORTHOHEPADNAVIRUS genus, HEPATITIS B VIRUS. It is primarily transmitted by parenteral exposure, such as transfusion of contaminated blood or blood products, but can also be transmitted via sexual or intimate personal contact. Hepatitis B Virus Infection
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D012680 Sensitivity and Specificity Binary classification measures to assess test results. Sensitivity or recall rate is the proportion of true positives. Specificity is the probability of correctly determining the absence of a condition. (From Last, Dictionary of Epidemiology, 2d ed) Specificity,Sensitivity,Specificity and Sensitivity
D016015 Logistic Models Statistical models which describe the relationship between a qualitative dependent variable (that is, one which can take only certain discrete values, such as the presence or absence of a disease) and an independent variable. A common application is in epidemiology for estimating an individual's risk (probability of a disease) as a function of a given risk factor. Logistic Regression,Logit Models,Models, Logistic,Logistic Model,Logistic Regressions,Logit Model,Model, Logistic,Model, Logit,Models, Logit,Regression, Logistic,Regressions, Logistic
D016896 Treatment Outcome Evaluation undertaken to assess the results or consequences of management and procedures used in combating disease in order to determine the efficacy, effectiveness, safety, and practicability of these interventions in individual cases or series. Rehabilitation Outcome,Treatment Effectiveness,Clinical Effectiveness,Clinical Efficacy,Patient-Relevant Outcome,Treatment Efficacy,Effectiveness, Clinical,Effectiveness, Treatment,Efficacy, Clinical,Efficacy, Treatment,Outcome, Patient-Relevant,Outcome, Rehabilitation,Outcome, Treatment,Outcomes, Patient-Relevant,Patient Relevant Outcome,Patient-Relevant Outcomes

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