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Article: A prediction rule for clinical diagnosis of severe acute respiratory syndrome

TitleA prediction rule for clinical diagnosis of severe acute respiratory syndrome
Authors
KeywordsCoronavirus infection
Diagnosis
Pneumonia
Severe acute respiratory syndrome
Issue Date2005
PublisherEuropean Respiratory Society. The Journal's web site is located at http://erj.ersjournals.com
Citation
European Respiratory Journal, 2005, v. 26 n. 3, p. 474-479 How to Cite?
AbstractA prospective study was undertaken to identify clinical, radiographical, haematological and biochemical profiles of severe acute respiratory syndrome (SARS) patients. A prediction rule, which demarcates low from high risk patients for SARS in an outbreak situation was developed. A total of 295 patients with unexplained respiratory illnesses, admitted to Queen Mary Hospital, Hong Kong SAR, China, in March to July 2003, were evaluated for clinical, radiological, haematological and alanine transaminase (ALT) data daily for 3 days after hospitalisation. In total, 44 cases were subsequently confirmed to have SARS by RT-PCR (68.2%) and serology (100%). The scoring system of attributing 11, 10, 3, 3 and 3 points to the presence of independent risk factors, namely: epidemiological link, radiographical deterioration, myalgia, lymphopenia and elevated ALT respectively, generated high and low-risk (total score 11-30 and 0-10, respectively) groups for SARS. The sensitivity and specificity of this prediction rule in positively identifying a SARS patient were 97.7 and 81.3%, respectively. The positive and negative predictive values were 47.8 and 99.5%, respectively. The prediction rule appears to be helpful in assessing suspected patients with severe acute respiratory syndrome at the bedside, and should be further validated in other severe acute respiratory syndrome cohorts. Copyright©ERS Journals Ltd 2005.
Persistent Identifierhttp://hdl.handle.net/10722/72386
ISSN
2023 Impact Factor: 16.6
2023 SCImago Journal Rankings: 3.810
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorHo, PLen_HK
dc.contributor.authorChau, PHen_HK
dc.contributor.authorYip, PSFen_HK
dc.contributor.authorOoi, GCen_HK
dc.contributor.authorKhong, PLen_HK
dc.contributor.authorHo, JCen_HK
dc.contributor.authorWong, PCen_HK
dc.contributor.authorKo, Cen_HK
dc.contributor.authorYan, Cen_HK
dc.contributor.authorTsang, KWen_HK
dc.date.accessioned2010-09-06T06:41:12Z-
dc.date.available2010-09-06T06:41:12Z-
dc.date.issued2005en_HK
dc.identifier.citationEuropean Respiratory Journal, 2005, v. 26 n. 3, p. 474-479en_HK
dc.identifier.issn0903-1936en_HK
dc.identifier.urihttp://hdl.handle.net/10722/72386-
dc.description.abstractA prospective study was undertaken to identify clinical, radiographical, haematological and biochemical profiles of severe acute respiratory syndrome (SARS) patients. A prediction rule, which demarcates low from high risk patients for SARS in an outbreak situation was developed. A total of 295 patients with unexplained respiratory illnesses, admitted to Queen Mary Hospital, Hong Kong SAR, China, in March to July 2003, were evaluated for clinical, radiological, haematological and alanine transaminase (ALT) data daily for 3 days after hospitalisation. In total, 44 cases were subsequently confirmed to have SARS by RT-PCR (68.2%) and serology (100%). The scoring system of attributing 11, 10, 3, 3 and 3 points to the presence of independent risk factors, namely: epidemiological link, radiographical deterioration, myalgia, lymphopenia and elevated ALT respectively, generated high and low-risk (total score 11-30 and 0-10, respectively) groups for SARS. The sensitivity and specificity of this prediction rule in positively identifying a SARS patient were 97.7 and 81.3%, respectively. The positive and negative predictive values were 47.8 and 99.5%, respectively. The prediction rule appears to be helpful in assessing suspected patients with severe acute respiratory syndrome at the bedside, and should be further validated in other severe acute respiratory syndrome cohorts. Copyright©ERS Journals Ltd 2005.en_HK
dc.languageengen_HK
dc.publisherEuropean Respiratory Society. The Journal's web site is located at http://erj.ersjournals.comen_HK
dc.relation.ispartofEuropean Respiratory Journalen_HK
dc.subjectCoronavirus infectionen_HK
dc.subjectDiagnosisen_HK
dc.subjectPneumoniaen_HK
dc.subjectSevere acute respiratory syndromeen_HK
dc.subject.meshAdulten_HK
dc.subject.meshAlanine Transaminase - blooden_HK
dc.subject.meshBlood Cell Counten_HK
dc.subject.meshCase-Control Studiesen_HK
dc.subject.meshFemaleen_HK
dc.subject.meshHumansen_HK
dc.subject.meshKidney Function Testsen_HK
dc.subject.meshLogistic Modelsen_HK
dc.subject.meshLung - radiographyen_HK
dc.subject.meshMaleen_HK
dc.subject.meshMiddle Ageden_HK
dc.subject.meshPredictive Value of Testsen_HK
dc.subject.meshProspective Studiesen_HK
dc.subject.meshRisk Assessmenten_HK
dc.subject.meshSevere Acute Respiratory Syndrome - complications - diagnosis - metabolismen_HK
dc.subject.meshViral Loaden_HK
dc.titleA prediction rule for clinical diagnosis of severe acute respiratory syndromeen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0903-1936&volume=26&issue=3&spage=474&epage=9&date=2005&atitle=A+prediction+rule+for+clinical+diagnosis+of+severe+acute+respiratory+syndromeen_HK
dc.identifier.emailHo, PL: plho@hkucc.hku.hken_HK
dc.identifier.emailChau, PH: phpchau@hku.hken_HK
dc.identifier.emailYip, PSF: sfpyip@hku.hken_HK
dc.identifier.emailKhong, PL: plkhong@hkucc.hku.hken_HK
dc.identifier.emailHo, JC: jhocm@hku.hken_HK
dc.identifier.authorityHo, PL=rp00406en_HK
dc.identifier.authorityChau, PH=rp00574en_HK
dc.identifier.authorityYip, PSF=rp00596en_HK
dc.identifier.authorityKhong, PL=rp00467en_HK
dc.identifier.authorityHo, JC=rp00258en_HK
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.1183/09031936.05.1076704en_HK
dc.identifier.pmid16135731-
dc.identifier.scopuseid_2-s2.0-24644475154en_HK
dc.identifier.hkuros118657en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-24644475154&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume26en_HK
dc.identifier.issue3en_HK
dc.identifier.spage474en_HK
dc.identifier.epage479en_HK
dc.identifier.isiWOS:000231844000019-
dc.publisher.placeSwitzerlanden_HK
dc.identifier.scopusauthoridHo, PL=7402211363en_HK
dc.identifier.scopusauthoridChau, PH=7102266397en_HK
dc.identifier.scopusauthoridYip, PSF=7102503720en_HK
dc.identifier.scopusauthoridOoi, GC=7006176119en_HK
dc.identifier.scopusauthoridKhong, PL=7006693233en_HK
dc.identifier.scopusauthoridHo, JC=7402649981en_HK
dc.identifier.scopusauthoridWong, PC=7403979916en_HK
dc.identifier.scopusauthoridKo, C=8728540600en_HK
dc.identifier.scopusauthoridYan, C=8728540500en_HK
dc.identifier.scopusauthoridTsang, KW=7201555024en_HK
dc.identifier.issnl0903-1936-

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