Accuracy of pancreatic stone protein for the diagnosis of infection in hospitalized adults: a systematic review and individual patient level meta-analysis.

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Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_F0483B20B261
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Institution
Title
Accuracy of pancreatic stone protein for the diagnosis of infection in hospitalized adults: a systematic review and individual patient level meta-analysis.
Journal
Critical care
Author(s)
Prazak J., Irincheeva I., Llewelyn M.J., Stolz D., García de Guadiana Romualdo L., Graf R., Reding T., Klein H.J., Eggimann P., Que Y.A.
ISSN
1466-609X (Electronic)
ISSN-L
1364-8535
Publication state
Published
Issued date
28/05/2021
Peer-reviewed
Oui
Volume
25
Number
1
Pages
182
Language
english
Notes
Publication types: Journal Article
Publication Status: epublish
Abstract
Accurate biomarkers to diagnose infection are lacking. Studies reported good performance of pancreatic stone protein (PSP) to detect infection. The objective of the study was to determine the performance of PSP in diagnosing infection across hospitalized patients and calculate a threshold value for that purpose.
A systematic search across Cochrane Central Register of Controlled Trials and MEDLINE databases (1966-March 2019) for studies on PSP published in English using 'pancreatic stone protein', 'PSP', 'regenerative protein', 'lithostatin' combined with 'infection' and 'sepsis' found 44 records. The search was restricted to the five trials that evaluated PSP for the initial detection of infection in hospitalized adults. Individual patient data were obtained from the investigators of all eligible trials. Data quality and validity was assessed according to PRISMA guidelines. We choose a fixed-effect model to calculate the PSP cut-off value that best discriminates infected from non-infected patients.
Infection was confirmed in 371 of 631 patients. The median (IQR) PSP value of infected versus uninfected patients was 81.5 (30.0-237.5) versus 19.2 (12.6-33.57) ng/ml, compared to 150 (82.70-229.55) versus 58.25 (15.85-120) mg/l for C-reactive protein (CRP) and 0.9 (0.29-4.4) versus 0.15 (0.08-0.5) ng/ml for procalcitonin (PCT). Using a PSP cut-off of 44.18 ng/ml, the ROC AUC to detect infection was 0.81 (0.78-0.85) with a sensitivity of 0.66 (0.61-0.71), specificity of 0.83 (0.78-0.88), PPV of 0.85 (0.81-0.89) and NPV of 0.63 (0.58-0.68). When a model combining PSP and CRP was used, the ROC AUC improved to 0.90 (0.87-0.92) with higher sensitivity 0.81 (0.77-0.85) and specificity 0.84 (0.79-0.90) for discriminating infection from non-infection. Adding PCT did not improve the performance further.
PSP is a promising biomarker to diagnose infections in hospitalized patients. Using a cut-off value of 44.18 ng/ml, PSP performs better than CRP or PCT across the considered studies. The combination of PSP with CRP further enhances its accuracy.
Keywords
Biomarker, Infection, PSP, Pancreatic stone protein
Pubmed
Web of science
Open Access
Yes
Create date
15/06/2021 9:18
Last modification date
23/11/2022 8:16
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