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Conference Paper: The use of Liquid Chromatography-Mass Spectrometry (LC-MS) for the diagnosis of Community-Acquired Pneumonia
Title | The use of Liquid Chromatography-Mass Spectrometry (LC-MS) for the diagnosis of Community-Acquired Pneumonia |
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Authors | |
Issue Date | 2014 |
Publisher | Oxford University Press on behalf of the Infectious Diseases Society. |
Citation | The 2014 Annual IDSA Meeting (IDWeek 2014), Philadelphia, PA., 8-12 October 2014. In Open Forum Infectious Diseases, 2014, v. 1 suppl. 1 How to Cite? |
Abstract | BACKGROUND: Community-acquired pneumonia (CAP) is one of the leading causes of morbidity and mortality worldwide. Early diagnosis is important for the appropriate use of antimicrobials. In this study, we sought to determine whether plasma metabolite profile can distinguish patients with CAP and those without CAP. METHODS: We acquired and compared the plasma metabolite profile of 143 patients suffering from CAP and 97 controls without CAP using Ultra-High-Performance Liquid chromatography coupled with Quadrupole-Time-of-Flight Mass Spectrometry (UHPLC-QTOFMS) and statistical methods using multivariate analysis, including Volcano Plot, principal component analysis (PCA) and partial least-squares discriminate analysis (PLS-DA). RESULTS: Unsupervised method using PCA showed clear clustering of CAP cases and controls in the plasma profile (Figure 1). Supervised method using PLS-DA showed 98% accuracy in confusion matrix to differentiate CAP cases and controls in the plasma profile (Figure 2). CONCLUSION: Plasma metabolite profile can distinguish patients with CAP from those without CAP.© The Author 2014. Published by Oxford University Press on behalf of the Infectious Diseases Society of America |
Description | Poster Session: 189. Diagnostic Microbiology: Bacterial Infections: abstracts no. 1409 This free journal suppl. entitled: IDWeek 2014 Abstracts |
Persistent Identifier | http://hdl.handle.net/10722/214890 |
ISSN | 2023 Impact Factor: 3.8 2023 SCImago Journal Rankings: 1.360 |
DC Field | Value | Language |
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dc.contributor.author | To, KKW | - |
dc.contributor.author | Lee, KC | - |
dc.contributor.author | Wong, S | - |
dc.contributor.author | Lo, KC | - |
dc.contributor.author | Lam, CW | - |
dc.contributor.author | Yuen, KY | - |
dc.date.accessioned | 2015-08-21T12:06:43Z | - |
dc.date.available | 2015-08-21T12:06:43Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | The 2014 Annual IDSA Meeting (IDWeek 2014), Philadelphia, PA., 8-12 October 2014. In Open Forum Infectious Diseases, 2014, v. 1 suppl. 1 | - |
dc.identifier.issn | 2328-8957 | - |
dc.identifier.uri | http://hdl.handle.net/10722/214890 | - |
dc.description | Poster Session: 189. Diagnostic Microbiology: Bacterial Infections: abstracts no. 1409 | - |
dc.description | This free journal suppl. entitled: IDWeek 2014 Abstracts | - |
dc.description.abstract | BACKGROUND: Community-acquired pneumonia (CAP) is one of the leading causes of morbidity and mortality worldwide. Early diagnosis is important for the appropriate use of antimicrobials. In this study, we sought to determine whether plasma metabolite profile can distinguish patients with CAP and those without CAP. METHODS: We acquired and compared the plasma metabolite profile of 143 patients suffering from CAP and 97 controls without CAP using Ultra-High-Performance Liquid chromatography coupled with Quadrupole-Time-of-Flight Mass Spectrometry (UHPLC-QTOFMS) and statistical methods using multivariate analysis, including Volcano Plot, principal component analysis (PCA) and partial least-squares discriminate analysis (PLS-DA). RESULTS: Unsupervised method using PCA showed clear clustering of CAP cases and controls in the plasma profile (Figure 1). Supervised method using PLS-DA showed 98% accuracy in confusion matrix to differentiate CAP cases and controls in the plasma profile (Figure 2). CONCLUSION: Plasma metabolite profile can distinguish patients with CAP from those without CAP.© The Author 2014. Published by Oxford University Press on behalf of the Infectious Diseases Society of America | - |
dc.language | eng | - |
dc.publisher | Oxford University Press on behalf of the Infectious Diseases Society. | - |
dc.relation.ispartof | Open Forum Infectious Diseases | - |
dc.title | The use of Liquid Chromatography-Mass Spectrometry (LC-MS) for the diagnosis of Community-Acquired Pneumonia | - |
dc.type | Conference_Paper | - |
dc.identifier.email | To, KKW: kelvinto@hkucc.hku.hk | - |
dc.identifier.email | Lee, KC: lee1983@hku.hk | - |
dc.identifier.email | Wong, S: samsonsy@hkucc.hku.hk | - |
dc.identifier.email | Lam, CW: ching-wanlam@pathology.hku.hk | - |
dc.identifier.email | Yuen, KY: kyyuen@hku.hk | - |
dc.identifier.authority | To, KKW=rp01384 | - |
dc.identifier.authority | Wong, S=rp00395 | - |
dc.identifier.authority | Lam, CW=rp00260 | - |
dc.identifier.authority | Yuen, KY=rp00366 | - |
dc.description.nature | link_to_OA_fulltext | - |
dc.identifier.doi | 10.1093/ofid/ofu052.955 | - |
dc.identifier.hkuros | 248938 | - |
dc.identifier.volume | 1 | - |
dc.identifier.issue | suppl. 1 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 2328-8957 | - |