Evidence map›Paper›PMID 38738189›Full record

ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2024

Clinical Utility of Blood Culture Identification 2 Panel in Flagged Blood Culture Samples from the Intensive Care Unit of a Tertiary Care Hospital.

Vashemane K Vineeth, Panchatcharam S Nambi, Ram Gopalakrishnan, Nandini Sethuraman, Yamunadevi Ramanathan, Chitra Chandran, Venkatasubramanian Ramasubramanian

Abstract read
In one paragraph

Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Tri-layer microbiology for LMIC Hospitals: linking syndromic panels with reflex culture and targeted sequencing for real world care - a narrative review.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases
    Review
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.

Vashemane K VineethDepartment of General Medicine, Infectious Diseases Division, Yenepoya Medical College, Yenepoya (Deemed to be University), Mangaluru, Karnataka, India.ORCID https://orcid.org/0000-0001-7759-1804
Panchatcharam S NambiDepartment of Infectious Diseases, Apollo Hospitals, Chennai, Tamil Nadu, India.ORCID https://orcid.org/0000-0003-0519-8768
Ram GopalakrishnanDepartment of Infectious Diseases, Apollo Hospitals, Chennai, Tamil Nadu, India.ORCID https://orcid.org/0000-0002-2263-1861
Nandini SethuramanDepartment of Microbiology, Apollo Hospitals, Chennai, Tamil Nadu, India.ORCID https://orcid.org/0000-0002-3803-5511
Yamunadevi RamanathanDepartment of Infectious Diseases, Institute of Infection Control, Apollo Hospitals, Chennai, Tamil Nadu, India.ORCID https://orcid.org/0000-0002-4403-6107
Chitra ChandranDepartment of Molecular Diagnostics, Apollo Hospitals, Chennai, Tamil Nadu, India.ORCID https://orcid.org/0000-0002-5504-1569
Venkatasubramanian RamasubramanianDepartment of Infectious Diseases, Apollo Hospitals, Chennai, Tamil Nadu, India.ORCID https://orcid.org/0000-0001-8566-2035

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The availability of rapid diagnostic platforms for positive blood cultures has accelerated the speed at which the clinical microbiology laboratory can identify the causative organism and facilitate early appropriate antimicrobial therapy. There is a paucity of data regarding the clinical utility of the blood culture identification 2 (BCID2) panel test and its correlation with phenotypic drug susceptibility testing (DST) in flagged blood culture bottles from intensive care units (ICUs) in countries such as India, which have high rates of multidrug-resistant gram-negative bacteria (MDR-GNB). Materials and methods: We conducted a retrospective observational study in a tertiary care ICU on 200 patients above 18 years of age in whom a BCID2 test was ordered when blood cultures flagged positive. Results: We found 99% concordance between BCID2 and cultures in the identification of bacteria and yeasts and 96.5% concordance between phenotypic and genotypic DST. Furthermore, BCID2 was available about 1.5 days earlier than conventional ID and DST and played a key role in tailoring antimicrobials in 82.5% of the patients. Polymyxin-based therapy was discontinued earlier after an empiric dose in 138 patients (69%) based on BCID2 reports. Conclusion: In critically ill patients with monomicrobial bacteremia, BCID2 rapidly identifies bacteria and antimicrobial resistance (AMR) genes and is significantly faster than conventional culture and sensitivity testing. Antibiotics were escalated in more than a third of patients and de-escalated in almost a fifth on the same day. We recommend that all ICUs routinely incorporate the test in their antibiotic decision-making process and in antimicrobial stewardship. How to cite this article: Vineeth VK, Nambi PS, Gopalakrishnan R, Sethuraman N, Ramanathan Y, Chandran C,

Indexed as

Antimicrobial stewardshipBlood culture identification 2Flagged culturesPolymyxin

Identifiers

PMID38738189
PMCPMC11080102

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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.