Evidence map›Paper›PMID 40735435›Full record

ArticleFrontiers in antibiotics2025

Assessment of antibiotic utilization patterns in an Indian Level-1 Trauma Center: a pilot study exploring days of antibiotic spectrum coverage and defined daily doses using WHO AWaRe classification trends.

M Nizam Ahmed, Arpan Kumar Thakur, Smriti Srivastava, Aparna Ningombam, Madhavi Kirti, Sushma Sagar, Keshav Goyal, Subodh Kumar, Ashish Bindra, Gyaninder Pal Singh and 6 more

Abstract read
In one paragraph

Article in Frontiers in antibiotics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

16 authors.

M Nizam AhmedDept of Microbiology, All India Institute of Medical Sciences, New Delhi, India.
Arpan Kumar ThakurDept of Laboratory Medicine, All India Institute of Medical Sciences, New Delhi, India.
Smriti SrivastavaDept of Microbiology, All India Institute of Medical Sciences, New Delhi, India.
Aparna NingombamDept of Laboratory Medicine, All India Institute of Medical Sciences, New Delhi, India.
Madhavi KirtiDept of Microbiology, All India Institute of Medical Sciences, New Delhi, India.
Sushma SagarDept of Trauma Surgery, All India Institute of Medical Sciences, New Delhi, India.
Keshav GoyalDept of Neuroanaesthesia, All India Institute of Medical Sciences, New Delhi, India.
Subodh KumarDept of Trauma Surgery, All India Institute of Medical Sciences, New Delhi, India.
Ashish BindraDept of Neuroanaesthesia, All India Institute of Medical Sciences, New Delhi, India.
Gyaninder Pal SinghDept of Neuroanaesthesia, All India Institute of Medical Sciences, New Delhi, India.
Navdeep SokhalDept of Neuroanaesthesia, All India Institute of Medical Sciences, New Delhi, India.
Richa AggarwalDept of Critical and Intensive Care, All India Institute of Medical Sciences, New Delhi, India.
Vijay SharmaDept of Orthopedics, All India Institute of Medical Sciences, New Delhi, India.
Samarth MittalDept of Orthopedics, All India Institute of Medical Sciences, New Delhi, India.
Kamran FarooqueDept of Orthopedics, All India Institute of Medical Sciences, New Delhi, India.
Purva MathurDept of Laboratory Medicine, All India Institute of Medical Sciences, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Rising antimicrobial resistance (AMR) necessitates innovative metrics, such as days of antibiotic spectrum coverage (DASC), to optimize antibiotic stewardship. This study evaluated antibiotic use in an Indian trauma center using DASC, defined daily doses (DDD), and the World Health Organization (WHO) Access, Watch, Reserve (AWaRe) classification. Methods: This retrospective cohort study analyzed data from 1,812 adult inpatients (mean age: 35 years; 70% male; 80% with polytrauma) admitted to a 250-bed Level-1 Trauma Center at the All India Institute of Medical Sciences (AIIMS), India, from August to October 2022. We measured days of therapy (DOT), DDD, and DASC for 46 antibiotics across 12 pathogens [e.g., methicillin-susceptible Results: Total antibiotic consumption was 81,064.6 g (3,142 DDD/1,000 patient-days). The Watch group antibiotics dominated usage (37%, 16,018.6 g), resulting in a low Access-to-Watch ratio (0.47). ICU settings showed higher DDD values (326 vs. 193/1,000 patient-days, p < 0.05) and DASC/DOT ratios (mean: 3; 95% CI: 2.73-4.01). Piperacillin-tazobactam accounted for the largest share of the Watch category use (5,952.9 g). DASC values (mean 4401.5, 95% CI: 3592-5211.1) showed a moderate correlation with DOT (R = 0.43, p < 0.1), offering spectrum-specific insights. Conclusions: Excessive use of the Watch group antibiotics contributes significantly to AMR. However, DASC's novel, spectrum-focused approach offers a transformative tool for antibiotic stewardship, supporting targeted de-escalation and improved benchmarking. These findings underscore the urgent need for policy reforms to enforce adherence to the WHO AWaRe classification in Indian centers, potentially reducing AMR-related mortality (30% higher with resistant infections). Integrating DASC into global Antimicrobial stewardship (AMS) programs may redefine antibiotic prescribing practices and help mitigate the AMR crisis.

Indexed as

AMRantibioticsAWaREDASCDDDDOT

Identifiers

PMID40735435
PMCPMC12304517

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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.