Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorPamornsri Sriwongpanen_US
dc.contributor.authorJayanton Patumanonden_US
dc.contributor.authorPornsuda Krittigamasen_US
dc.contributor.authorHutsaya Tantipongen_US
dc.contributor.authorChamaiporn Tawichasrien_US
dc.contributor.authorSirianong Namwongpromen_US
dc.description.abstractObjective: The aim of the study reported here was to validate the risk-scoring algorithm for prognostication of scrub typhus severity. Methods: The risk-scoring algorithm for prognostication of scrub typhus severity developed earlier from two general hospitals in Thailand was validated using an independent dataset of scrub typhus patients in one of the hospitals from a few years later. The predictive performances of the two datasets were compared by analysis of the area under the receiver-operating characteristic curve (AuROC). Classification of patients into non-severe, severe, and fatal cases was also compared. Results: The proportions of non-severe, severe, and fatal patients by operational definition were similar between the development and validation datasets. Patient, clinical, and laboratory profiles were also similar. Scores were similar in both datasets, both in terms of discriminating non-severe from severe and fatal patients (AuROC =88.74% versus 91.48%, P=0.324), and in discriminating fatal from severe and non-severe patients (AuROC =88.66% versus 91.22%, P=0.407). Over- and under-estimations were similar and were clinically acceptable. Conclusion: The previously developed risk-scoring algorithm for prognostication of scrub typhus severity performed similarly with the validation data and the first dataset. The scoring algorithm may help in the prognostication of patients according to their severity in routine clinical practice. Clinicians may use this scoring system to help make decisions about more intensive investigations and appropriate treatments. © 2014 Sriwongpan et al. This work is published by Dove Medical Press Limited.en_US
dc.titleValidation of a clinical risk-scoring algorithm for severe scrub typhusen_US
article.title.sourcetitleRisk Management and Healthcare Policyen_US
article.volume7en_US Mai Universityen_US Prachanukroh Hospitalen_US Universityen_US Hospitalen_US Regional Hospitalen_US Epidemiology Society at Chiang Maien_US
Appears in Collections:CMUL: Journal Articles

Files in This Item:
There are no files associated with this item.

Items in CMUIR are protected by copyright, with all rights reserved, unless otherwise indicated.