Evidence map›Paper›PMID 42591506›Full record

ArticleFrontiers in cellular and infection microbiology2026

Incremental diagnostic value of bloodstream pathogen ddPCR for early identification of blood culture-positive bloodstream infection.

Juebin Gu, Yufei Dong, Mulin Liu, Lin Lin

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Juebin GuDepartment of Clinical Laboratory, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Yufei DongDepartment of Clinical Laboratory, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Mulin LiuDepartment of Clinical Laboratory, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Lin LinDepartment of Clinical Laboratory, The First Affiliated Hospital of Dalian Medical University, Dalian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bloodstream infection (BSI) is associated with substantial morbidity and mortality. Early identification remains challenging because blood culture results are often unavailable during initial clinical decision-making. This study evaluated routinely available clinical indicators for identifying blood culture-positive BSI and investigated whether bloodstream pathogen droplet digital PCR (ddPCR) testing provides incremental diagnostic value. Methods: This retrospective study was conducted at a tertiary teaching hospital. A conventional clinical indicator cohort of 814 hospitalized patients was used to develop a prediction model for blood culture-positive BSI. An independent ddPCR cohort of 336 patients was used to evaluate the incremental value of ddPCR testing. Model discrimination, reclassification, exploratory clinical utility, and internal validation were assessed. Results: In the conventional cohort, age (OR 1.021, 95% CI 1.001-1.041, P = 0.038) and ln(PCT) (OR 1.441, 95% CI 1.203-1.727, P < 0.001) were independently associated with blood culture-positive BSI. The conventional clinical model achieved an area under the curve (AUC) of 0.696 (95% CI 0.631-0.762). In the ddPCR cohort, incorporation of ddPCR results modestly increased the AUC from 0.716 (95% CI 0.614-0.818) to 0.764 (95% CI 0.665-0.863). Although the increase was not statistically significant by the DeLong test (P = 0.152), significant improvements were observed in integrated discrimination improvement (0.041, P = 0.006) and category-free net reclassification improvement (0.786, P < 0.001). Exploratory decision curve analysis indicated higher net benefit for the combined model. Conclusions: Routinely available clinical indicators provided only modest discriminatory ability for early identification of blood culture-positive BSI. Bloodstream pathogen ddPCR testing provided additional diagnostic information with a modest and statistically non-significant increase in AUC but significant improvement in risk reclassification. ddPCR may serve as a complementary tool for early BSI risk stratification rather than a replacement for blood culture.

Indexed as

BacteremiaMolecular Diagnostic TechniquesPolymerase Chain ReactionSepsisAgedBlood CultureEarly DiagnosisFemaleHumansMaleMiddle AgedRetrospective StudiesTertiary Care Centersbacteremiablood culturebloodstream infectiondiagnostic valuedroplet digital PCRmolecular diagnosticsprocalcitoninrisk stratification

Identifiers

PMID42591506
PMCPMC13462041

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.