Anticardiolipin Autoantibodies as Useful Biomarkers for the Prediction of Mortality in Septic Patients Article Swipe
Amal Abouda
,
Zied Hajjej
,
Arnaud Mansart
,
W. Kaabechi
,
Dorra Elhaj Mahmoud
,
Oussama Lamine
,
E. Ghazouani
,
Mustapha Ferjani
,
Iheb Labbène
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1155/2022/9775111
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1155/2022/9775111
Background. The detection of antiphospholipid antibodies (aPL) is of interest because of their importance in the pathogenesis of arterial or venous thrombosis. They could be a “second hit” of an inflammatory event such as infection. The aim of our study was to assess the performance of antiphospholipid antibody biomarker to predict in-hospital mortality in intensive care unit (ICU) septic patients. Methods. We conducted a prospective single-center observational study including consecutive critically ill septic adults admitted to the intensive care unit. Clinical and laboratory data including enzyme-linked immunosorbent assay for antiphospholipid antibodies (anticardiolipin (aCL), antiphosphatidylserine (aPS)) were obtained. Blood samples were collected on days 1, 3, 5, 8, and 10 of hospitalization. The primary study endpoint was ICU mortality defined as death before ICU discharge. Secondary end points included correlation between SOFA score and biological parameters. Results. A total of 53 patients were enrolled. 18.8% of patients were aPL positive. In-hospital mortality rate was 60%. Multivariate analysis showed that age and aCL at days 3 and 5 along with SOFA at day 3 were independent outcome predictors. A significant positive correlation existed between SOFA at days 3, 5, and 8 and antiphospholipid antibody concentrations. Conclusions. Our data showed that antiphospholipid was useful biomarkers for the prediction of mortality in critically ill septic patients. We found a positive correlation between SOFA score and antiphospholipid antibodies.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1155/2022/9775111
- https://downloads.hindawi.com/journals/jir/2022/9775111.pdf
- OA Status
- gold
- Cited By
- 3
- References
- 36
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4283360569
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4283360569Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1155/2022/9775111Digital Object Identifier
- Title
-
Anticardiolipin Autoantibodies as Useful Biomarkers for the Prediction of Mortality in Septic PatientsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-05-31Full publication date if available
- Authors
-
Amal Abouda, Zied Hajjej, Arnaud Mansart, W. Kaabechi, Dorra Elhaj Mahmoud, Oussama Lamine, E. Ghazouani, Mustapha Ferjani, Iheb LabbèneList of authors in order
- Landing page
-
https://doi.org/10.1155/2022/9775111Publisher landing page
- PDF URL
-
https://downloads.hindawi.com/journals/jir/2022/9775111.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://downloads.hindawi.com/journals/jir/2022/9775111.pdfDirect OA link when available
- Concepts
-
Medicine, Intensive care unit, SOFA score, Internal medicine, Autoantibody, Antiphospholipid syndrome, Biomarker, Partial thromboplastin time, Clinical endpoint, Mortality rate, Thrombosis, Antibody, Immunology, Clinical trial, Platelet, Chemistry, BiochemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 1, 2023: 1Per-year citation counts (last 5 years)
- References (count)
-
36Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.infection. | 34 |
| abstract_inverted_index.laboratory | 82 |
| abstract_inverted_index.prediction | 204 |
| abstract_inverted_index.Background. | 0 |
| abstract_inverted_index.In-hospital | 149 |
| abstract_inverted_index.antibodies. | 222 |
| abstract_inverted_index.consecutive | 69 |
| abstract_inverted_index.correlation | 128, 179, 216 |
| abstract_inverted_index.in-hospital | 51 |
| abstract_inverted_index.independent | 173 |
| abstract_inverted_index.parameters. | 134 |
| abstract_inverted_index.performance | 44 |
| abstract_inverted_index.predictors. | 175 |
| abstract_inverted_index.prospective | 64 |
| abstract_inverted_index.significant | 177 |
| abstract_inverted_index.thrombosis. | 21 |
| abstract_inverted_index.Conclusions. | 193 |
| abstract_inverted_index.Multivariate | 154 |
| abstract_inverted_index.inflammatory | 30 |
| abstract_inverted_index.pathogenesis | 16 |
| abstract_inverted_index.enzyme-linked | 85 |
| abstract_inverted_index.immunosorbent | 86 |
| abstract_inverted_index.observational | 66 |
| abstract_inverted_index.single-center | 65 |
| abstract_inverted_index.concentrations. | 192 |
| abstract_inverted_index.(anticardiolipin | 91 |
| abstract_inverted_index.antiphospholipid | 4, 46, 89, 190, 198, 221 |
| abstract_inverted_index.hospitalization. | 110 |
| abstract_inverted_index.antiphosphatidylserine | 93 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5014633999 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 9 |
| corresponding_institution_ids | https://openalex.org/I4210155821, https://openalex.org/I63596082 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8899999856948853 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.6681211 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |