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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

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dc.contributor.author Zuercher, Patrick
dc.contributor.author Moser, Andre
dc.contributor.author García-de-Guadiana-Romualdo, Luis
dc.contributor.author Llewelyn, Martín-J
dc.contributor.author Graf, Rolf
dc.contributor.author Reding, Theresia
dc.contributor.author Eggimann, Philippe
dc.contributor.author Que, Yok-Ai
dc.contributor.author Prazak, Josef
dc.date.accessioned 2025-11-18T09:30:51Z
dc.date.available 2025-11-18T09:30:51Z
dc.date.issued 2023-12
dc.identifier.citation Zuercher P, Moser A, Garcia De Guadiana-Romualdo L, Llewelyn MJ, Graf R, Reding T, et al. 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. Infection. diciembre de 2023;51(6):1797-807.
dc.identifier.issn 0300-8126
dc.identifier.uri https://sms.carm.es/ricsmur/handle/123456789/20822
dc.description.abstract BACKGROUND: 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.language.iso eng
dc.publisher Springer Heidelberg
dc.subject.mesh Humans
dc.subject.mesh Adult
dc.subject.mesh Calcitonin/metabolism
dc.subject.mesh Lithostathine/metabolism
dc.subject.mesh Bayes Theorem
dc.subject.mesh Prospective Studies
dc.subject.mesh Biomarkers/metabolism
dc.subject.mesh C-Reactive Protein/metabolism
dc.subject.mesh Sepsis/diagnosis
dc.subject.mesh Intensive Care Units
dc.subject.mesh Procalcitonin
dc.subject.mesh ROC Curve
dc.subject.mesh Prognosis
dc.title 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
dc.type info:eu-repo/semantics/article
dc.identifier.pmid 37707744
dc.relation.publisherversion https://link.springer.com/10.1007/s15010-023-02093-w
dc.identifier.doi 10.1007/s15010-023-02093-w
dc.journal.title Infection
dc.identifier.essn 1439-0973


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