Formulation and application of diagnostic models based on clinical biochemical assays in diagnosis of chronic hepatitis and liver cirrhosis associated with viral hepatitis / 中华实验和临床病毒学杂志
Chinese Journal of Experimental and Clinical Virology
; (6): 276-278, 2007.
Article
in Zh
| WPRIM
| ID: wpr-248779
Responsible library:
WPRO
ABSTRACT
<p><b>OBJECTIVE</b>To improve the diagnostic ability of routine laboratory items in liver diseases associated with viral hepatitis through constructing assessment models consisting of these items.</p><p><b>METHODS</b>(1) Assessment of routine items and formulation of models. Data of 447 patients seen between May 1997 and August 2003 were collected as the training set and serum specimens of 213 patients taken between June 2004 and March 2005 were examined and used as the validation set. Eleven items (TP, ALB, TBIL, DBIL, ALT, AST, ALP, GGT, TBA, LDH, CHE) were examined with an automated biochemical analyzer. Logistic regression was applied to construct the model for discriminating between chronic hepatitis and liver cirrhosis. The diagnostic value of items and models was assessed by the area under the receiver-operating characteristic (ROC) curve.</p><p><b>RESULTS</b>The model to discrimination between chronic hepatitis and liver cirrhosis consists of five items (CHE, DBIL, ALB, ALT, GLO). The AUCs of model were 0.87 in the training set and 0.83 in validation set, respectively.</p><p><b>CONCLUSION</b>(1) The model consisting of CHE, DBIL, ALB, ALT, GLO improves the diagnostic value of routine laboratory items in discriminating chronic hepatitis from liver cirrhosis.</p>
Full text:
1
Index:
WPRIM
Main subject:
Pathology
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Virology
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Algorithms
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Logistic Models
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Retrospective Studies
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Hepatitis B, Chronic
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Diagnosis
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Diagnosis, Differential
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Liver
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Liver Cirrhosis
Type of study:
Diagnostic_studies
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Observational_studies
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Prognostic_studies
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Risk_factors_studies
Limits:
Adolescent
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Adult
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Female
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Humans
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Male
Language:
Zh
Journal:
Chinese Journal of Experimental and Clinical Virology
Year:
2007
Type:
Article