Evidence map›Paper›PMID 31013271›Full record

ArticlePloS one2019

The cost impact of PCT-guided antibiotic stewardship versus usual care for hospitalised patients with suspected sepsis or lower respiratory tract infections in the US: A health economic model analysis.

Janne C Mewes, Michael S Pulia, Michael K Mansour, Michael R Broyles, H Bryant Nguyen, Lotte M Steuten

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06945510 (A Multi-center Study to Evaluate the Economic and Clinical Impact of PCT Guided Antibiotics Use in Critically Ill Adult Patients in China.), which is not on this map. Cited by 25 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 6 pooled it
3.7field-weighted citation impact, top 7% of its field
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.

NCT06945510 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

A Multi-center Study to Evaluate the Economic and Clinical Impact of PCT Guided Antibiotics Use in Critically Ill Adult Patients in China.

TypeinterventionalSponsorChina-Japan Friendship HospitalRan2025 to 2026Enrolled800ConditionsSepsisArmsPCT detection
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 6 syntheses or guidelines pooled it, 42 citations in OpenAlex.

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  7. Cost-effectiveness analysis of procalcitonin and lung ultrasonography guided antibiotic prescriptions in primary care.The European journal of health economics : HEPAC : health economics in prevention and care · 2025
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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

6 authors at 4 institutions in 1 country.

Janne C MewesPanaxea B.V., Amsterdam, the Netherlands.
Michael S PuliaBerbeeWalsh Department of Emergency Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, United States of America.
Michael K MansourDivision of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA, United States of America.
Michael R BroylesDepartment of Clinical Pharmacy and Laboratory Services, Five Rivers Medical Center, Pocahontas, AR, United States of America.
H Bryant NguyenDivision of Pulmonary, Critical Care, Hyperbaric and Sleep Medicine, Loma Linda University, Loma Linda, CA, United States of America.
Lotte M SteutenPanaxea B.V., Amsterdam, the Netherlands.ORCID 0000-0002-5688-236X
Harvard University · USLoma Linda University · USUniversity of Washington · USUniversity of Wisconsin–Madison · US

Funding

Improving Antibiotic Stewardship During The Treatment of Skin and Soft Tissue Infections in The Emergency Department: A Human Factors and Systems Engineering ApproachK08HS024342 · AHRQ · UNIVERSITY OF WISCONSIN-MADISON · PI PULIA, MICHAEL SANTINO · 2016 to 2020
$801k
AHRQ HHS K08 HS024342
6 · The paper itself

Abstract

backgroundProcalcitonin is a biomarker that supports clinical decision-making on when to initiate and discontinue antibiotic therapy. Several cost (-effectiveness) analyses have been conducted on Procalcitonin-guided antibiotic stewardship, but none mainly based on US originated data.

objectiveTo compare effectiveness and costs of a Procalcitonin-algorithm versus standard care to guide antibiotic prescription for patients hospitalized with a diagnosis of suspected sepsis or lower respiratory tract infection in the US.

methodsA previously published health economic decision model was used to compare the costs and effects of Procalcitonin-guided care. The analysis considered the societal and hospital perspective with a time horizon covering the length of hospital stay. The main outcomes were total costs per patient, including treatment costs and productivity losses, the number of patients with antibiotic resistance or C.difficile infections, and costs per antibiotic day avoided.

resultsProcalcitonin -guided care for hospitalized patients with suspected sepsis and lower respiratory tract infection is associated with a reduction in antibiotic days, a shorter length of stay on the regular ward and the intensive care unit, shorter duration of mechanical ventilation, and fewer patients at risk for antibiotic resistant or C.difficile infection. Total costs in the Procalcitonin-group compared to standard care were reduced by 26.0% in sepsis and 17.7% in lower respiratory tract infection (total incremental costs of -$11,311 per patient and -$2,867 per patient respectively).

conclusionsUsing a Procalcitonin-algorithm to guide antibiotic use in sepsis and hospitalised lower respiratory tract infection patients is expected to generate cost-savings to the hospital and lower rates of antibiotic resistance and C.difficile infections.

Indexed as

Costs and Cost AnalysisEconomics, MedicalModels, EconomicAntimicrobial StewardshipCalcitoninHospitalizationHumansRespiratory Tract InfectionsSepsisTreatment OutcomeUnited StatesCalcitonin

Identifiers

PMID31013271
PMCPMC6478294
OpenAlexW2941502739

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.