File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Clinical prognostic rules for severe acute respiratory syndrome in low- and high-resource settings

TitleClinical prognostic rules for severe acute respiratory syndrome in low- and high-resource settings
Authors
KeywordsChemicals And Cas Registry Numbers
Issue Date2006
PublisherAmerican Medical Association. The Journal's web site is located at http://www.archinternmed.com
Citation
Archives Of Internal Medicine, 2006, v. 166 n. 14, p. 1505-1511 How to Cite?
AbstractBackground: An accurate prognostic model for patients with severe acute respiratory syndrome (SARS) could provide a practical clinical decision aid. We developed and validated prognostic rules for both high- and low-resource settings based on data available at the time of admission. Methods: We analyzed data on all 1755 and 291 patients with SARS in Hong Kong (derivation cohort) and Toronto (validation cohort), respectively, using a multivariable logistic scoring method with internal and external validation. Scores were assigned on the basis of patient history in a basic model, and a full model additionally incorporated radiological and laboratory results. The main outcome measure was death. Results: Predictors for mortality in the basic model included older age, male sex, and the presence of comorbid conditions. Additional predictors in the full model included haziness or infiltrates on chest radiography, less than 95% oxygen saturation on room air, high lactate dehydrogenase level, and high neutrophil and low platelet counts. The basic model had an area under the receiver operating characteristic (ROC) curve of 0.860 in the derivation cohort, which was maintained on external validation with an area under the ROC curve of 0.882. The full model improved discrimination with areas under the ROC curve of 0.877 and 0.892 in the derivation and validation cohorts, respectively. Conclusion: The model performs well and could be useful in assessing prognosis for patients who are infected with re-emergent SARS. ©2006 American Medical Association. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/92611
ISSN
2014 Impact Factor: 17.333
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorCowling, BJen_HK
dc.contributor.authorMuller, MPen_HK
dc.contributor.authorWong, IOLen_HK
dc.contributor.authorHo, LMen_HK
dc.contributor.authorLo, SVen_HK
dc.contributor.authorTsang, Ten_HK
dc.contributor.authorTai, HLen_HK
dc.contributor.authorLouie, Men_HK
dc.contributor.authorLeung, GMen_HK
dc.date.accessioned2010-09-17T10:51:39Z-
dc.date.available2010-09-17T10:51:39Z-
dc.date.issued2006en_HK
dc.identifier.citationArchives Of Internal Medicine, 2006, v. 166 n. 14, p. 1505-1511en_HK
dc.identifier.issn0003-9926en_HK
dc.identifier.urihttp://hdl.handle.net/10722/92611-
dc.description.abstractBackground: An accurate prognostic model for patients with severe acute respiratory syndrome (SARS) could provide a practical clinical decision aid. We developed and validated prognostic rules for both high- and low-resource settings based on data available at the time of admission. Methods: We analyzed data on all 1755 and 291 patients with SARS in Hong Kong (derivation cohort) and Toronto (validation cohort), respectively, using a multivariable logistic scoring method with internal and external validation. Scores were assigned on the basis of patient history in a basic model, and a full model additionally incorporated radiological and laboratory results. The main outcome measure was death. Results: Predictors for mortality in the basic model included older age, male sex, and the presence of comorbid conditions. Additional predictors in the full model included haziness or infiltrates on chest radiography, less than 95% oxygen saturation on room air, high lactate dehydrogenase level, and high neutrophil and low platelet counts. The basic model had an area under the receiver operating characteristic (ROC) curve of 0.860 in the derivation cohort, which was maintained on external validation with an area under the ROC curve of 0.882. The full model improved discrimination with areas under the ROC curve of 0.877 and 0.892 in the derivation and validation cohorts, respectively. Conclusion: The model performs well and could be useful in assessing prognosis for patients who are infected with re-emergent SARS. ©2006 American Medical Association. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherAmerican Medical Association. The Journal's web site is located at http://www.archinternmed.comen_HK
dc.relation.ispartofArchives of Internal Medicineen_HK
dc.subjectChemicals And Cas Registry Numbersen_HK
dc.subject.meshAdulten_HK
dc.subject.meshAgeden_HK
dc.subject.meshFemaleen_HK
dc.subject.meshHong Kong - epidemiologyen_HK
dc.subject.meshHumansen_HK
dc.subject.meshIncidenceen_HK
dc.subject.meshMaleen_HK
dc.subject.meshMiddle Ageden_HK
dc.subject.meshModels, Statisticalen_HK
dc.subject.meshOntario - epidemiologyen_HK
dc.subject.meshPrognosisen_HK
dc.subject.meshROC Curveen_HK
dc.subject.meshRetrospective Studiesen_HK
dc.subject.meshSevere Acute Respiratory Syndrome - epidemiologyen_HK
dc.subject.meshSurvival Rate - trendsen_HK
dc.titleClinical prognostic rules for severe acute respiratory syndrome in low- and high-resource settingsen_HK
dc.typeArticleen_HK
dc.identifier.emailCowling, BJ: bcowling@hku.hken_HK
dc.identifier.emailWong, IOL: iolwong@hku.hken_HK
dc.identifier.emailHo, LM: lmho@hkucc.hku.hken_HK
dc.identifier.emailLeung, GM: gmleung@hkucc.hku.hken_HK
dc.identifier.authorityCowling, BJ=rp01326en_HK
dc.identifier.authorityWong, IOL=rp01806en_HK
dc.identifier.authorityHo, LM=rp00360en_HK
dc.identifier.authorityLeung, GM=rp00460en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1001/archinte.166.14.1505en_HK
dc.identifier.pmid16864761-
dc.identifier.scopuseid_2-s2.0-33746435815en_HK
dc.identifier.hkuros117262-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33746435815&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume166en_HK
dc.identifier.issue14en_HK
dc.identifier.spage1505en_HK
dc.identifier.epage1511en_HK
dc.identifier.eissn1538-3679-
dc.identifier.isiWOS:000239211200011-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridCowling, BJ=8644765500en_HK
dc.identifier.scopusauthoridMuller, MP=7404688353en_HK
dc.identifier.scopusauthoridWong, IOL=7102513940en_HK
dc.identifier.scopusauthoridHo, LM=7402955625en_HK
dc.identifier.scopusauthoridLo, SV=8426498400en_HK
dc.identifier.scopusauthoridTsang, T=7101832378en_HK
dc.identifier.scopusauthoridTai, HL=55628574254en_HK
dc.identifier.scopusauthoridLouie, M=7006128942en_HK
dc.identifier.scopusauthoridLeung, GM=7007159841en_HK

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats