ReviewJournal of clinical microbiology2022
Blood Culture Utilization in the Hospital Setting: a Call for Diagnostic Stewardship.
Review in Journal of clinical microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
83 citing papers in PubMed, 1 synthesis or guideline pooled it.
- American Society for Microbiology evidence-based laboratory medicine practice guidelines to reduce blood culture contamination rates: a systematic review and meta-analysis.Clinical microbiology reviews · 2024Pooled it
- Genomic epidemiology of extended-spectrum beta-lactamase-producingJAC-antimicrobial resistance · 2026Article
- Impact on blood cultures pre-analytical quality and positivity rate of a key performance indicators digital monitoring approach: a pre-post intervention study.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026Article
- Microbiological profile and 28-day mortality prediction model for bloodstream infection in patients with acute-on-chronic liver failure.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026Article
- Risk factors associated with apyrexia during bacteraemia: a prospective multicenter cohort study.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026Article
- ICD-10-CM-Based Algorithms to Identify Bacteremia Incorporating Pathogen-Specific Codes: A Validation Study.Pharmacoepidemiology and drug safety · 2026Article
- Article
- Efficacy of a small-volume blood culture diversion device across three wards: a 6-month retrospective review.Microbiology spectrum · 2026Article
- Evaluation of machine learning pipeline for blood culture outcome prediction on prospectively collected emergency department data.Journal of medical microbiology · 2026Article
- Taming the contaminants: a quality improvement initiative to minimize blood culture contamination and enhance patient care in a resource-limited setting.BMC microbiology · 2026Article
- Epidemiologic trends, diagnostic limitations, and public health challenges of enteric fever in sub-Saharan Africa: A narrative review.IJID regions · 2026Review
- The association between body temperature parameters and blood culture positivity in the inpatient setting: a retrospective cohort study.BMC infectious diseases · 2026Article
- Detecting Bacteria in Their Mammalian Hosts Using Metabolism-Targeted [ACS central science · 2026Article
- Antimicrobial Use in Acute Myocardial Infarction-Related Cardiogenic Shock.Journal of the American Heart Association · 2026Article
- Cultryx: Precision Diagnostic Stewardship for Blood Cultures Using Machine Learning.medRxiv : the preprint server for health sciences · 2026Article
- Fulminant disseminated intravascular coagulation following marsupialization of a Bartholin gland abscess: a case report.Case reports in women's health · 2026Article
- Quantitative association of blood culture volume with contaminant and pathogen recovery.Infectious medicine · 2026Article
- Biofilm formation on venovenous ECMO cannulas can lead to re-introduction of pathogens during the decannulation process - a small-scale study reveals new insights when combining cultures and molecular results.BMC infectious diseases · 2026Observational
- Multiplex droplet digital polymerase chain reaction for rapid diagnosing suspected bloodstream infections in patients with hematologic malignancies.Translational cancer research · 2026Article
- Toll-like receptor 5 on monocyte as a biomarker of mortality risk in patients with sepsis.BMC infectious diseases · 2026Article
23 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There has been significant progress in detection of bloodstream pathogens in recent decades with the development of more sensitive automated blood culture detection systems and the availability of rapid molecular tests for faster organism identification and detection of resistance genes. However, most blood cultures in clinical practice do not grow organisms, suggesting that suboptimal blood culture collection practices (e.g., suboptimal blood volume) or suboptimal selection of patients to culture (i.e., blood cultures ordered for patients with low likelihood of bacteremia) may be occurring. A national blood culture utilization benchmark does not exist, nor do specific guidelines on when blood cultures are appropriate or when blood cultures are of low value and waste resources. Studies evaluating the potential harm associated with excessive blood cultures have focused on blood culture contamination, which has been associated with significant increases in health care costs and negative consequences for patients related to exposure to unnecessary antibiotics and additional testing. Optimizing blood culture performance is important to ensure bloodstream infections (BSIs) are diagnosed while minimizing adverse events from overuse. In this review, we discuss key factors that influence blood culture performance, with a focus on the preanalytical phase, including technical aspects of the blood culture collection process and blood culture indications. We highlight areas for improvement and make recommendations to improve current blood culture practices among hospitalized patients.
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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.