Evidence map›Paper›PMID 42146977›Full record

ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2026

Time to Initiation of Antibiotic Therapy in Critically Ill Patients with Suspected Sepsis and Its Effect on Intensive Care Unit Mortality: Analysis Using Bayesian Approach.

Amarja Ashok Havaldar, Aswathi Saji, Tinku Thomas, M Selvam, Janin Josy, C S Nandhini, N Madhammal

Abstract read
In one paragraph

Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2026. 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

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

1 citing paper in PubMed.

  1. Every Hour Does Matter: A Bayesian Confirmation of Antibiotic Urgency in Sepsis.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2026
    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

7 authors.

Amarja Ashok HavaldarDepartment of Critical Care Medicine, St. John's Medical College Hospital, Bengaluru, Karnataka, India.ORCID https://orcid.org/0000-0002-8763-3585
Aswathi SajiDivision of Epidemiology and Biostatistics, St. John's Research Institute, Bengaluru, Karnataka, India.ORCID https://orcid.org/0000-0002-8696-4083
Tinku ThomasDepartment of Biostatistics, St. John's Medical College, Bengaluru, Karnataka, India.ORCID https://orcid.org/0000-0002-1786-6076
M SelvamDepartment of Pharmacy, St. John's Medical College, Bengaluru, Karnataka, India.ORCID https://orcid.org/0009-0003-0049-4311
Janin JosyDepartment of Critical Care Medicine, St. John's Medical College Hospital, Bengaluru, Karnataka, India.ORCID https://orcid.org/0009-0003-4465-0793
C S NandhiniDepartment of Critical Care Medicine, St. John's Medical College Hospital, Bengaluru, Karnataka, India.ORCID https://orcid.org/0009-0008-9914-3541
N MadhammalDepartment of Surgical Intensive Care Unit, St. John's Medical College, Bengaluru, Karnataka, India.ORCID https://orcid.org/0009-0005-6319-103X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Sepsis is a leading cause of intensive care unit (ICU) admission and mortality. Although early antibiotic therapy in the emergency department improves outcomes, the clinical impact of delays in ICU-based antibiotic escalation is not well established. This study evaluated the association between time to ICU-based initiation of newly prescribed antibiotics and ICU mortality using a Bayesian analytical framework. Patients and methods: A prospective observational study (2019-2021) was conducted in a tertiary care hospital, including adult patients admitted to the ICU. New antibiotic administration represented an escalation of therapy for suspected new-onset or worsening infection. Delay was defined as the interval between prescription and actual administration. Repeated antibiotic escalation events within patients were analyzed using a Bayesian generalized linear mixed model (GLMM) accounting for within-patient correlation. Results: A total of 695 antibiotic escalation events occurred in 467 patients (mean age 50.6 ± 17.7 years; 61.7% male). The majority of patients received antibiotics within 3 hours of sepsis recognition (90.6%), and 42.8% within 1 hour. Intensive care unit mortality was 25.9%. Each hour delay in administration of newly prescribed ICU antibiotics was associated with increased odds of ICU mortality [posterior odds ratio (OR): 1.13, 95% credible interval (CrI): 1.11-1.15]. Higher mortality was also associated with septic shock, hospital-acquired infection, higher delta sequential organ failure assessment (Δ SOFA), and higher Acute Physiology and Chronic Health Evaluation (APACHE II) Score. Conclusion: Delays in ICU-based antibiotic escalation are associated with increased mortality. Timely escalation may represent an important, modifiable target to improve outcomes in critically ill patients with suspected sepsis. How to cite this article: Havaldar AA, Saji A, Thomas T, Selvam M, Josy J, Nandhini CS,

Indexed as

Antibiotic prescriptionantibiotics timingBayesian analysisCritically ill patientsMortalitySepsis

Identifiers

PMID42146977
PMCPMC13177928

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.