Evidence map›Paper›PMID 41609971›Full record

ArticleInfectious diseases and therapy2026

Clinical Impact of Droplet Digital PCR-Guided Antibiotic Stewardship on Prognosis in Patients with Suspected Bloodstream Infection: A Prospective Observational Study.

Ziqiang Shao, Jingwen Zhu, Yanyan Wei, Jun Jin, Jingquan Liu, Renhua Sun, Bangchuan Hu

Abstract read
In one paragraph

Article in Infectious diseases and therapy, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ziqiang ShaoEmergency and Critical Care Center, Intensive Care Unit, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Shangtang Road 158, Hangzhou, 310014, Zhejiang, China.ORCID http://orcid.org/0000-0002-5386-0667
Jingwen ZhuEmergency and Critical Care Center, Intensive Care Unit, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Shangtang Road 158, Hangzhou, 310014, Zhejiang, China.
Yanyan WeiEmergency and Critical Care Center, Intensive Care Unit, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Shangtang Road 158, Hangzhou, 310014, Zhejiang, China.
Jun JinEmergency and Critical Care Center, Intensive Care Unit, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Shangtang Road 158, Hangzhou, 310014, Zhejiang, China.
Jingquan LiuEmergency and Critical Care Center, Intensive Care Unit, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Shangtang Road 158, Hangzhou, 310014, Zhejiang, China.
Renhua SunEmergency and Critical Care Center, Intensive Care Unit, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Shangtang Road 158, Hangzhou, 310014, Zhejiang, China.
Bangchuan HuEmergency and Critical Care Center, Intensive Care Unit, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Shangtang Road 158, Hangzhou, 310014, Zhejiang, China. hubangchuanicu@163.com.

Funding

Key Research and Development Project of Science Technology Department of Zhejiang Province 2020C03031National Natural Science Foundation of China 82272188The General Project Funds from the Health Department of Zhejiang Province 2023KY018
6 · The paper itself

Abstract

introductionThis study aimed to investigate whether droplet digital polymerase chain reaction (ddPCR) assay can be integrated with antimicrobial stewardship for rapid diagnosis to improve clinical outcomes in patients with suspected bloodstream infections (BSIs). We also explored whether combining ddPCR assay with procalcitonin (PCT) could better guide antibiotic discontinuation in patients with suspected BSIs.

methodsThis prospective observational study was conducted in Zhejiang Provincial People's Hospital from April 2019 to October 2023. Antimicrobial drug combinations were categorized as appropriate or inappropriate based on the findings of the ddPCR assay. Propensity score matching (PSM) was conducted to address possible confounding variables. The primary outcome was 28-day all-cause mortality.

resultsA total of 703 patients were evaluated for the consistency of pathogens detected by ddPCR with those covered by the initial antibiotic regimen (IAR). Among these patients, 355 received appropriate IAR, 256 were adjusted for inappropriate IAR, and 92 were unadjusted for inappropriate IAR. A significant difference in 28-day mortality among the three cohorts was observed before and after PSM (P ≤ 0.002). Multivariate Cox regression analysis showed that IAR adjustment [inappropriate IAR unadjusted as reference, appropriate IAR: hazard ratio (HR) = 0.47; P < 0.001; inappropriate IAR adjusted: HR = 0.54; P < 0.001] remained independent predictors for 28-day mortality. In addition, in a subgroup analysis of 257 patients receiving > 7 days of antibiotic therapy and antibiotic discontinuation, the 28-day mortality using the ddPCR assay combined with PCT-guided antibiotic discontinuation was significantly lower (12.0 vs. 37.3 vs. 39.6%; P < 0.001) than that of those guided by ddPCR assay or PCT alone.

conclusionsIntegrating a ddPCR assay for rapid diagnosis with antibiotic stewardship could improve the prognosis in patients with BSIs, not only by guiding antibiotic regimen adjustment but also by making decisions on antibiotic discontinuation in conjunction with PCT.

trial registrationChiCTR, ChiCTR2600116655.

Indexed as

Antibiotic stewardshipBloodstream infectionDroplet digital polymerase chain reactionInitial antibiotic regimenProcalcitonin

Identifiers

PMID41609971
PMCPMC12924819

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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.