Positive Blood Culture Removal Time Significantly Decreases Processing Time
|
By LabMedica International staff writers Posted on 18 Feb 2015 |
Timely processing of blood cultures with positive results, including Gram staining and notification of clinicians, is a critical function of the clinical microbiology laboratory.
Although empiric administration of antibiotics is critical, targeted therapy based on actionable data from the clinical microbiology laboratory must be implemented as soon as the data are available as inadequate antimicrobial treatment of bloodstream infections is associated with significantly increased mortality and, in surviving patients, increased hospital length of stay.
Scientists at the Houston Methodist Hospital (TX, USA) performed a retrospective analysis of positive blood culture processing times. Data for specimens collected seven months before and seven months after an in-service meeting were retrieved and analyzed. In some instances, no organisms were seen on initial Gram stain after a positive alert. In those cases, the culture bottles were returned to the automated blood culture system BACTEC FX instrument (BD Diagnostics, Sparks, MD, USA) for further incubation. As the Epicenter software does not log the initial removal, the positive-to-removal (PR) time was erroneously prolonged, and these samples were excluded from the analysis.
Before the in-service meeting, the average PR time for 5,057 samples was 38 minutes. They discovered unexpectedly that only 51.8% (2,617 of 5,057) of the positive blood cultures were removed in less than 10 minutes. After the in-service meeting, for 5,293 samples, the average PR time improved to eight minutes, the aggregate time also improved, and 84.5% (4,470 of 5,293) of the positive blood cultures were removed in less than 10 minutes. These improvements reduced the time to telephone notification of the Gram stain results to a caregiver by 46.7% (from 105 minutes to 56 minutes).
The authors concluded improvement of sepsis outcomes and costs requires rapid generation of actionable data from the clinical microbiology laboratory. Vigilant monitoring of parameters such as the PR time and meticulous identification of barriers to rapid pathogen identification has the potential to continue to decrease pathogen reporting time, decrease health care costs, and decrease morbidity and mortality associated with bloodstream infections. The study was published in the February 2015 issue of the Archives of Pathology & Laboratory Medicine.
Related Links:
Houston Methodist Hospital
BD Diagnostics
Although empiric administration of antibiotics is critical, targeted therapy based on actionable data from the clinical microbiology laboratory must be implemented as soon as the data are available as inadequate antimicrobial treatment of bloodstream infections is associated with significantly increased mortality and, in surviving patients, increased hospital length of stay.
Scientists at the Houston Methodist Hospital (TX, USA) performed a retrospective analysis of positive blood culture processing times. Data for specimens collected seven months before and seven months after an in-service meeting were retrieved and analyzed. In some instances, no organisms were seen on initial Gram stain after a positive alert. In those cases, the culture bottles were returned to the automated blood culture system BACTEC FX instrument (BD Diagnostics, Sparks, MD, USA) for further incubation. As the Epicenter software does not log the initial removal, the positive-to-removal (PR) time was erroneously prolonged, and these samples were excluded from the analysis.
Before the in-service meeting, the average PR time for 5,057 samples was 38 minutes. They discovered unexpectedly that only 51.8% (2,617 of 5,057) of the positive blood cultures were removed in less than 10 minutes. After the in-service meeting, for 5,293 samples, the average PR time improved to eight minutes, the aggregate time also improved, and 84.5% (4,470 of 5,293) of the positive blood cultures were removed in less than 10 minutes. These improvements reduced the time to telephone notification of the Gram stain results to a caregiver by 46.7% (from 105 minutes to 56 minutes).
The authors concluded improvement of sepsis outcomes and costs requires rapid generation of actionable data from the clinical microbiology laboratory. Vigilant monitoring of parameters such as the PR time and meticulous identification of barriers to rapid pathogen identification has the potential to continue to decrease pathogen reporting time, decrease health care costs, and decrease morbidity and mortality associated with bloodstream infections. The study was published in the February 2015 issue of the Archives of Pathology & Laboratory Medicine.
Related Links:
Houston Methodist Hospital
BD Diagnostics
Read the full article by registering today, it's FREE!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
- Free digital version edition of LabMedica International sent by email on regular basis
- Free print version of LabMedica International magazine (available only outside USA and Canada).
- Free and unlimited access to back issues of LabMedica International in digital format
- Free LabMedica International Newsletter sent every week containing the latest news
- Free breaking news sent via email
- Free access to Events Calendar
- Free access to LinkXpress new product services
- REGISTRATION IS FREE AND EASY!
Sign in: Registered website members
Sign in: Registered magazine subscribers
Latest Microbiology News
- Study Highlights Accuracy Gaps in Consumer Gut Microbiome Kits
- WHO Recommends Near POC Tests, Tongue Swabs and Sputum Pooling for TB Diagnosis
- New Imaging Approach Could Help Predict Dangerous Gut Infection
- Rapid Sequencing Could Transform Tuberculosis Care
- Blood-Based Viral Signature Identified in Crohn’s Disease
- Hidden Gut Viruses Linked to Colorectal Cancer Risk
- Three-Test Panel Launched for Detection of Liver Fluke Infections
- Rapid Test Promises Faster Answers for Drug-Resistant Infections
- CRISPR-Based Technology Neutralizes Antibiotic-Resistant Bacteria
- Comprehensive Review Identifies Gut Microbiome Signatures Associated With Alzheimer’s Disease
- AI-Powered Platform Enables Rapid Detection of Drug-Resistant C. Auris Pathogens
- New Test Measures How Effectively Antibiotics Kill Bacteria
- New Antimicrobial Stewardship Standards for TB Care to Optimize Diagnostics
- New UTI Diagnosis Method Delivers Antibiotic Resistance Results 24 Hours Earlier
- Breakthroughs in Microbial Analysis to Enhance Disease Prediction
- Blood-Based Diagnostic Method Could Identify Pediatric LRTIs
Channels
Clinical Chemistry
view channel
AI Model Enables Personalized Glucose Predictions for Type 1 Diabetes
Type 1 diabetes (T1D) requires careful blood glucose monitoring and precise insulin dosing, as even small errors can lead to dangerous excursions. Continuous glucose monitoring (CGM) provides real-time... Read more
AI-Powered Blood Test Distinguishes Deadly Cardiac Events
Two life-threatening cardiovascular emergencies—myocardial infarction and aortic dissection—often present with the same symptom: sudden, severe chest pain. Yet the treatments for these conditions are fundamentally... Read moreMolecular Diagnostics
view channel
Liquid Biopsy Method Pinpoints Disease Source From a Single Drop of Blood
Liquid biopsy offers a noninvasive way to assess disease, but many assays still lack reliable tissue-of-origin localization and robust performance for early cancer detection. Researchers now report a method... Read more
Study Reveals Widespread Errors in Gene Variant Naming
Accurate variant nomenclature underpins the ability of clinical laboratories to retrieve and interpret evidence for rare disease diagnosis. Yet many patients face prolonged diagnostic journeys; in the U.... Read moreHematology
view channel
Rapid Cartridge-Based Test Aims to Expand Access to Hemoglobin Disorder Diagnosis
Sickle cell disease and beta thalassemia are hemoglobin disorders that often require referral to specialized laboratories for definitive diagnosis, delaying results for patients and clinicians.... Read more
New Guidelines Aim to Improve AL Amyloidosis Diagnosis
Light chain (AL) amyloidosis is a rare, life-threatening bone marrow disorder in which abnormal amyloid proteins accumulate in organs. Approximately 3,260 people in the United States are diagnosed... Read moreImmunology
view channel
Cancer Mutation ‘Fingerprints’ to Improve Prediction of Immunotherapy Response
Cancer cells accumulate thousands of genetic mutations, but not all mutations affect tumors in the same way. Some make cancer cells more visible to the immune system, while others allow tumors to evade... Read more
Immune Signature Identified in Treatment-Resistant Myasthenia Gravis
Myasthenia gravis is a rare autoimmune disorder in which immune attack at the neuromuscular junction causes fluctuating weakness that can impair vision, movement, speech, swallowing, and breathing.... Read more
New Biomarker Predicts Chemotherapy Response in Triple-Negative Breast Cancer
Triple-negative breast cancer is an aggressive form of breast cancer in which patients often show widely varying responses to chemotherapy. Predicting who will benefit from treatment remains challenging,... Read moreBlood Test Identifies Lung Cancer Patients Who Can Benefit from Immunotherapy Drug
Small cell lung cancer (SCLC) is an aggressive disease with limited treatment options, and even newly approved immunotherapies do not benefit all patients. While immunotherapy can extend survival for some,... Read morePathology
view channel
AI-Powered Tool to Transform Dermatopathology Workflow
Skin cancer accounts for the largest number of cancer diagnoses in the United States, placing sustained pressure on pathology services. Diagnostic interpretation can be variable for challenging melanocytic... Read more
New Chromogenic Culture Media Enable Rapid Detection of Candida Infections
Invasive Candida infections are challenging for healthcare systems, with some strains spreading rapidly in hospitals and showing resistance to multiple antifungal drugs. Candida auris is associated with... Read moreTechnology
view channel
New Electronic Pipette Enhances Workflows with Touchscreen Control
Manual pipetting remains a routine yet error-prone step that can affect reproducibility and throughput in clinical and research laboratories. Training demands and ergonomic strain also add variability... Read more
AI Model Outperforms Clinicians in Rare Disease Detection
Rare diseases affect an estimated 300 million people worldwide, yet diagnosis is often protracted and error-prone. Many conditions present with heterogeneous signs that overlap with common disorders, leading... Read more
AI-Driven Diagnostic Demonstrates High Accuracy in Detecting Periprosthetic Joint Infection
Periprosthetic joint infection (PJI) is a rare but serious complication affecting 1% to 2% of primary joint replacement surgeries. The condition occurs when bacteria or fungi infect tissues around an implanted... Read moreIndustry
view channel
Automated MSI Test Gains IVDR Certification to Guide CRC Therapy
Treatment selection for metastatic colorectal cancer often requires knowledge of a tumor’s microsatellite instability (MSI) status. Timely results can help clinicians decide on immunotherapy options.... Read more









