Publication:
Discriminative performance of pancreatic stone protein in predicting ICU mortality and infection severity in adult patients with infection: a systematic review and individual patient level meta-analysis.

cris.virtual.author-orcid0000-0001-7178-6539
cris.virtual.author-orcid0000-0001-9443-6101
cris.virtualsource.author-orcid71c0cb5f-4e4d-43cf-8237-fc8bbd9fbb93
cris.virtualsource.author-orcid5dee065d-037f-4fb5-b21b-5fec50013d9b
cris.virtualsource.author-orcidce583f80-c3a5-4e4c-9e2d-acc1184e2bc9
cris.virtualsource.author-orcid47e7580f-f500-46f6-b940-d755ef3d4b87
datacite.rightsopen.access
dc.contributor.authorZürcher, Patrick
dc.contributor.authorMoser, André
dc.contributor.authorGarcia de Guadiana-Romualdo, Luis
dc.contributor.authorLlewelyn, Martin J
dc.contributor.authorGraf, Rolf
dc.contributor.authorReding, Theresia
dc.contributor.authorEggimann, Philippe
dc.contributor.authorQue, Yok-Ai
dc.contributor.authorPrazak, Josef
dc.date.accessioned2024-10-25T18:06:54Z
dc.date.available2024-10-25T18:06:54Z
dc.date.issued2023-12
dc.description.abstractBACKGROUND Several studies suggested pancreatic stone protein (PSP) as a promising biomarker to predict mortality among patients with severe infection. The objective of the study was to evaluate the performance of PSP in predicting intensive care unit (ICU) mortality and infection severity among critically ill adults admitted to the hospital for infection. METHODS A systematic search across Cochrane Central Register of Controlled Trials and MEDLINE databases (1966 to February 2022) for studies on PSP published in English using 'pancreatic stone protein', 'PSP', 'regenerative protein', 'lithostatin' combined with 'infection' and 'sepsis' found 46 records. The search was restricted to the five trials that measured PSP using the enzyme-linked immunosorbent assay technique (ELISA). We used Bayesian hierarchical regression models for pooled estimates and to predict mortality or disease severity using PSP, C-Reactive Protein (CRP) and procalcitonin (PCT) as main predictor. We used statistical discriminative measures, such as the area under the receiver operating characteristic curve (AUC) and classification plots. RESULTS Among the 678 patients included, the pooled ICU mortality was 17.8% (95% prediction interval 4.1% to 54.6%) with a between-study heterogeneity (I-squared 87%). PSP was strongly associated with ICU mortality (OR = 2.7, 95% credible interval (CrI) [1.3-6.0] per one standard deviation increase; age, gender and sepsis severity adjusted OR = 1.5, 95% CrI [0.98-2.8]). The AUC was 0.69 for PSP 95% confidence interval (CI) [0.64-0.74], 0.61 [0.56-0.66] for PCT and 0.52 [0.47-0.57] for CRP. The sensitivity was 0.96, 0.52, 0.30 for risk thresholds 0.1, 0.2 and 0.3; respective false positive rate values were 0.84, 0.25, 0.10. CONCLUSIONS We found that PSP showed a very good discriminative ability for both investigated study endpoints ICU mortality and infection severity; better in comparison to CRP, similar to PCT. Combinations of biomarkers did not improve their predictive ability.
dc.description.noteZuercher and Moser contributed equally to this work. Open Access Funding provided by University of Bern.
dc.description.numberOfPages11
dc.description.sponsorshipUniversitätsklinik für Intensivmedizin
dc.description.sponsorshipDepartment of Clinical Research (DCR) - Statistics & Methodology
dc.identifier.doi10.48350/186330
dc.identifier.pmid37707744
dc.identifier.publisherDOI10.1007/s15010-023-02093-w
dc.identifier.urihttps://boris-portal.unibe.ch/handle/20.500.12422/169991
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofInfection
dc.relation.issn0300-8126
dc.relation.organizationDCD5A442BADDE17DE0405C82790C4DE2
dc.relation.organizationDCD5A442BE42E17DE0405C82790C4DE2
dc.subjectBiomarker Infection Mortality PSP Pancreatic stone protein
dc.subject.ddc600 - Technology::610 - Medicine & health
dc.titleDiscriminative performance of pancreatic stone protein in predicting ICU mortality and infection severity in adult patients with infection: a systematic review and individual patient level meta-analysis.
dc.typearticle
dspace.entity.typePublication
dspace.file.typetext
oaire.citation.endPage1807
oaire.citation.issue6
oaire.citation.startPage1797
oaire.citation.volume51
oairecerif.author.affiliationUniversitätsklinik für Intensivmedizin
oairecerif.author.affiliationDepartment of Clinical Research (DCR) - Statistics & Methodology
oairecerif.author.affiliationUniversitätsklinik für Intensivmedizin
oairecerif.author.affiliationUniversitätsklinik für Intensivmedizin
oairecerif.author.affiliation2Clinical Trials Unit Bern (CTU) - Statistics & Methodology
oairecerif.author.affiliation3Department of Clinical Research (DCR)
unibe.contributor.rolecreator
unibe.contributor.rolecreator
unibe.contributor.rolecreator
unibe.contributor.rolecreator
unibe.contributor.rolecreator
unibe.contributor.rolecreator
unibe.contributor.rolecreator
unibe.contributor.rolecreator
unibe.contributor.rolecreator
unibe.date.licenseChanged2023-11-30 06:25:49
unibe.description.ispublishedpub
unibe.eprints.legacyId186330
unibe.journal.abbrevTitleINFECTION
unibe.refereedtrue
unibe.subtype.articlejournal

Files

Original bundle
Now showing 1 - 1 of 1
Name:
Zuercher_Infection_2023.pdf
Size:
1.07 MB
Format:
Adobe Portable Document Format
File Type:
text
License:
https://creativecommons.org/licenses/by/4.0
Content:
published

Collections