Mortality risk prediction in lupus patients complicated with invasive infection in the emergency department: LUPHAS score.
Identifieur interne : 000038 ( PubMed/Checkpoint ); précédent : 000037; suivant : 000039Mortality risk prediction in lupus patients complicated with invasive infection in the emergency department: LUPHAS score.
Auteurs : Wanlong Wu [République populaire de Chine] ; Jun Ma [République populaire de Chine] ; Yuhong Zhou [République populaire de Chine] ; Chao Tang [République populaire de Chine] ; Feng Zhao [République populaire de Chine] ; Fangfang Sun [République populaire de Chine] ; Wenwen Xu [République populaire de Chine] ; Jie Chen [République populaire de Chine] ; Shuang Ye [République populaire de Chine] ; Yi Chen [République populaire de Chine]Source :
- Therapeutic advances in musculoskeletal disease [ 1759-720X ] ; 2019.
Abstract
Infection remains a major cause of morbidity and mortality in patients with systemic lupus erythematosus (SLE). This study aimed to establish a clinical prediction model for the 3-month all-cause mortality of invasive infection events in patients with SLE in the emergency department.
DOI: 10.1177/1759720X19885559
PubMed: 31723357
Affiliations:
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<author><name sortKey="Xu, Wenwen" sort="Xu, Wenwen" uniqKey="Xu W" first="Wenwen" last="Xu">Wenwen Xu</name>
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<author><name sortKey="Chen, Jie" sort="Chen, Jie" uniqKey="Chen J" first="Jie" last="Chen">Jie Chen</name>
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<author><name sortKey="Ye, Shuang" sort="Ye, Shuang" uniqKey="Ye S" first="Shuang" last="Ye">Shuang Ye</name>
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<author><name sortKey="Chen, Yi" sort="Chen, Yi" uniqKey="Chen Y" first="Yi" last="Chen">Yi Chen</name>
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<front><div type="abstract" xml:lang="en">Infection remains a major cause of morbidity and mortality in patients with systemic lupus erythematosus (SLE). This study aimed to establish a clinical prediction model for the 3-month all-cause mortality of invasive infection events in patients with SLE in the emergency department.</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">31723357</PMID>
<DateRevised><Year>2019</Year>
<Month>11</Month>
<Day>17</Day>
</DateRevised>
<Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Print">1759-720X</ISSN>
<JournalIssue CitedMedium="Print"><Volume>11</Volume>
<PubDate><Year>2019</Year>
</PubDate>
</JournalIssue>
<Title>Therapeutic advances in musculoskeletal disease</Title>
<ISOAbbreviation>Ther Adv Musculoskelet Dis</ISOAbbreviation>
</Journal>
<ArticleTitle>Mortality risk prediction in lupus patients complicated with invasive infection in the emergency department: LUPHAS score.</ArticleTitle>
<Pagination><MedlinePgn>1759720X19885559</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1177/1759720X19885559</ELocationID>
<Abstract><AbstractText Label="Background" NlmCategory="UNASSIGNED">Infection remains a major cause of morbidity and mortality in patients with systemic lupus erythematosus (SLE). This study aimed to establish a clinical prediction model for the 3-month all-cause mortality of invasive infection events in patients with SLE in the emergency department.</AbstractText>
<AbstractText Label="Methods" NlmCategory="UNASSIGNED">SLE patients complicated with invasive infection admitted into the emergency department were included in this study. Patient's demographic, clinical, and laboratory characteristics on admission were retrospectively collected as baseline data and compared between the deceased and the survivors. Independent predictors were identified by multivariable logistic regression analysis. A prediction model for all-cause mortality was established and evaluated by receiver operating characteristic (ROC) curve analysis.</AbstractText>
<AbstractText Label="Results" NlmCategory="UNASSIGNED">A total of 130 eligible patients were collected with a cumulative 38.5% 3-month mortality. Lymphocyte count <800/ul, urea >7.6mmol/l, maximum prednisone dose in the past ⩾60 mg/d, quick Sequential Organ Failure Assessment (q<b>S</b>
OFA) score, and age at baseline were independent predictors for all-cause mortality (LUPHAS). In contrast, a history of hydroxychloroquine use was protective. In a combined, odds ratio-weighted LUPHAS scoring system (score 3-22), patients were categorized to three groups: low-risk (score 3-9), medium-risk (score 10-15), and high-risk (score 16-22), with mortalities of 4.9% (2/41), 45.9% (28/61), and 78.3% (18/23) respectively. ROC curve analysis indicated that a LUPHAS score could effectively predict all-cause mortality [area under the curve (AUC) = 0.86, CI 95% 0.79-0.92]. In addition, LUPHAS score performed better than the qSOFA score alone (AUC = 0.69, CI 95% 0.59-0.78), or CURB-65 score (AUC = 0.69, CI 95% 0.59-0.80) in the subgroup of lung infections (<i>n</i>
= 108).</AbstractText>
<AbstractText Label="Conclusions" NlmCategory="UNASSIGNED">Based on a large emergency cohort of lupus patients complicated with invasive infection, the LUPHAS score was established to predict the short-term all-cause mortality, which could be a promising applicable tool for risk stratification in clinical practice.</AbstractText>
<CopyrightInformation>© The Author(s), 2019.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Wu</LastName>
<ForeName>Wanlong</ForeName>
<Initials>W</Initials>
<Identifier Source="ORCID">https://orcid.org/0000-0003-2727-7950</Identifier>
<AffiliationInfo><Affiliation>Department of Rheumatology, South Campus, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Ma</LastName>
<ForeName>Jun</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>Department of Emergency Medicine, South Campus, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Zhou</LastName>
<ForeName>Yuhong</ForeName>
<Initials>Y</Initials>
<AffiliationInfo><Affiliation>Department of Emergency Medicine, South Campus, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Tang</LastName>
<ForeName>Chao</ForeName>
<Initials>C</Initials>
<AffiliationInfo><Affiliation>Department of Emergency Medicine, South Campus, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Zhao</LastName>
<ForeName>Feng</ForeName>
<Initials>F</Initials>
<AffiliationInfo><Affiliation>Department of Emergency Medicine, South Campus, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Sun</LastName>
<ForeName>Fangfang</ForeName>
<Initials>F</Initials>
<AffiliationInfo><Affiliation>Department of Rheumatology, South Campus, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Xu</LastName>
<ForeName>Wenwen</ForeName>
<Initials>W</Initials>
<AffiliationInfo><Affiliation>Department of Rheumatology, South Campus, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Chen</LastName>
<ForeName>Jie</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>Department of Rheumatology, South Campus, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Ye</LastName>
<ForeName>Shuang</ForeName>
<Initials>S</Initials>
<AffiliationInfo><Affiliation>Department of Rheumatology, South Campus, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Chen</LastName>
<ForeName>Yi</ForeName>
<Initials>Y</Initials>
<Identifier Source="ORCID">https://orcid.org/0000-0001-6642-7435</Identifier>
<AffiliationInfo><Affiliation>Department of Emergency Medicine, South Campus, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 2000, Jiangyue Road, Minhang District, Shanghai 201112, China.</Affiliation>
</AffiliationInfo>
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<Language>eng</Language>
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<Month>11</Month>
<Day>05</Day>
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<MedlineJournalInfo><Country>England</Country>
<MedlineTA>Ther Adv Musculoskelet Dis</MedlineTA>
<NlmUniqueID>101517322</NlmUniqueID>
<ISSNLinking>1759-720X</ISSNLinking>
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<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">emergency department</Keyword>
<Keyword MajorTopicYN="N">infection</Keyword>
<Keyword MajorTopicYN="N">mortality</Keyword>
<Keyword MajorTopicYN="N">prediction</Keyword>
<Keyword MajorTopicYN="N">systemic lupus erythematosus</Keyword>
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<CoiStatement>Conflict of interest statement: The authors declare that they have no conflicts of interest.</CoiStatement>
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<affiliations><list><country><li>République populaire de Chine</li>
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<name sortKey="Chen, Jie" sort="Chen, Jie" uniqKey="Chen J" first="Jie" last="Chen">Jie Chen</name>
<name sortKey="Chen, Yi" sort="Chen, Yi" uniqKey="Chen Y" first="Yi" last="Chen">Yi Chen</name>
<name sortKey="Ma, Jun" sort="Ma, Jun" uniqKey="Ma J" first="Jun" last="Ma">Jun Ma</name>
<name sortKey="Sun, Fangfang" sort="Sun, Fangfang" uniqKey="Sun F" first="Fangfang" last="Sun">Fangfang Sun</name>
<name sortKey="Tang, Chao" sort="Tang, Chao" uniqKey="Tang C" first="Chao" last="Tang">Chao Tang</name>
<name sortKey="Xu, Wenwen" sort="Xu, Wenwen" uniqKey="Xu W" first="Wenwen" last="Xu">Wenwen Xu</name>
<name sortKey="Ye, Shuang" sort="Ye, Shuang" uniqKey="Ye S" first="Shuang" last="Ye">Shuang Ye</name>
<name sortKey="Zhao, Feng" sort="Zhao, Feng" uniqKey="Zhao F" first="Feng" last="Zhao">Feng Zhao</name>
<name sortKey="Zhou, Yuhong" sort="Zhou, Yuhong" uniqKey="Zhou Y" first="Yuhong" last="Zhou">Yuhong Zhou</name>
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