Evidence map›Paper›PMID 38192910›Full record

ArticleCureus2023

Promoting Patient Safety: Exploring Device-Associated Healthcare Infections and Antimicrobial Susceptibility Pattern in a Multidisciplinary Intensive Care Units.

Neeta Gade, Ranga Burri, Akkilagunta Sujiv, Meena Mishra, B E Pradeep, Harish Debaje, Tejswini Sable, Amandeep Kaur

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 38% of its field
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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 5 institutions in 1 country.

Neeta GadeMicrobiology, All India Institute of Medical Sciences, Nagpur, Nagpur, IND.
Ranga BurriPublic Health, University of Hyderabad, Hyderabad, IND.
Akkilagunta SujivCommunity Medicine, All India Institute of Medical Sciences, Nagpur, Nagpur, IND.
Meena MishraMicrobiology, All India Institute of Medical Sciences, Nagpur, Nagpur, IND.
B E PradeepBiosciences, Sri Satya Sai Institute of Higher Learning, Puttaparthi, IND.
Harish DebajeHospital Infection Control, All India Institute of Medical Sciences, Nagpur, Nagpur, IND.
Tejswini SableNursing, All India Institute of Medical Sciences, Nagpur, Nagpur, IND.
Amandeep KaurNursing, All India Institute of Medical Sciences, Nagpur, Nagpur, IND.
All India Institute of Medical Sciences, NagpurNagpur Institute of Technology · INCentral India Institute of Medical Sciences · INGovernment Medical College · INSri Sathya Sai Institute of Higher Learning · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDevice-associated healthcare infections are among the prevailing threats to patient safety worldwide. They constitute the third most common adverse event during healthcare delivery, resulting in heightened morbidity, mortality, and healthcare costs. Patients in intensive care units (ICUs) are at increased risk for device-associated healthcare infections. Focused active surveillance is a crucial measure for assessing the prevalence of healthcare-associated infections and controlling the transmission of pathogens, ultimately contributing to the establishment of quality outcome indicators. This study aimed to investigate and establish the baseline rates of healthcare-associated infections associated with medical devices in adult multidisciplinary ICUs within a tertiary care institute. MATERIAL AND

methodsThis hospital-based prospective observational study was conducted in two adult ICUs of a tertiary care institute in Central India over nine months. Targeted active surveillance for three device-associated health care infections namely central line-associated bloodstream infection (CLABSI), catheter-associated urinary tract infection (CAUTI), and ventilator-associated event (VAE) was conducted as per the Center for Disease Control (CDC)/National Healthcare Safety Network (NHSN) 2016 surveillance definitions and criteria. Pathogens associated with device-associated healthcare infections were identified and their antimicrobial susceptibility profile was studied.

resultsDuring the study period, a total of 5,773 patient days were investigated. Of 1,270 patients, 28 episodes of device-associated healthcare infections were detected in 26 patients, this suggests a collective occurrence of five device-associated healthcare infections for every 1,000 patient days in the ICUs. The device utilization ratios of the central line, mechanical ventilator, and urinary catheters were 0.33, 0.27, and 0.68, respectively. VAE, CLABSI, and CAUTI rates were 8.92, 5.68, and 0.76 per 1,000 device days, respectively. The most common pathogen isolated from device-associated healthcare infections was

conclusionThe study sheds light on the proportion, types of device-associated healthcare infections, and underlying etiological agents associated with these infections in our institute's ICUs, thereby facilitating a better understanding of the healthcare-associated infection landscape within our facility. Moreover, the susceptibility pattern of pathogens associated with these infections offers crucial information for guiding the selection of appropriate antimicrobial therapies and infection control measures.

Indexed as

antimicrobial resistancedevice associated healthcare infectionshealthcare associated infections (hai)infection controlintensive care unit

Identifiers

PMID38192910
PMCPMC10773593
OpenAlexW4389505302

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.