P-297. Prospective Study on Microbiological Profile of Nosocomial Infections due to Gram negative lactose non-fermentative Bacteria in a Tertiary Care Hospital in South India

Abstract Background Non-fermentative gram-negative bacteria (NFGNB) infections that are acquired in hospitals have particularly concerning characteristics; identifying these features can aid in prevention and improve the standard of care provided within hospital premises. This study aims to find out the nosocomial infections caused by NFGNB, its sensitivity pattern, length of culture reporting time, and patients with ICU stay. Methods A prospective observational study was conducted in a tertiary care hospital located in southern India during the 4 months of January-April 2024. Data were taken from the Department of Microbiology regarding the prevalence of NFGNB isolates from different culture samples and their sensitivity pattern. The number of MDR isolates throughout the four months, their susceptibility pattern, and the duration of culture reporting time for all NFGNB isolates were examined. Descriptive analysis was used to look at patient demographics, inpatient department, and ICU admission. Statistical analysis was done by Microsoft Excel. Results Total 72(18.6%) samples were recorded as NFGNB from 386 culture positive samples isolated from the Department of Microbiology. The most common isolate was Acinetobacter spp (38.8%) followed by Pseudomonas spp (27.7%). The mean of our study participants was found to be 55 years, with a male: female ratio 2:1. The General Medicine department showed maximum isolates i.e, 25% followed by Hepatology department i.e, 16.6%. Maximum NFGNB isolates are from Urine sample (33.3%) followed by Blood sample (27.8%). The mean time of culture reporting for NFGNB was 72 hours. Out of 72 NFGNB samples, 28(38.8%) were Multi-drug resistant isolates and 29(40.2%) required ICU admission. Conclusion NFGNB function as nosocomial pathogens, their startling resistance is a concern to epidemiology and medical care. These isolated pathogens have been manually reported for a considerable amount of time. Rapid culture identification methods would assist identify resistant diseases early and improve patient outcomes in low- and middle-income countries. Future studies should focus on implementation of approaches to reduce the incidence and resistance of nosocomial infections in LMICs. Disclosures All Authors: No reported disclosures

Authors

Institutions

Publication Details

Journal
Open Forum Infectious Diseases
Published
2025-01-29
DOI
https://doi.org/10.1093/ofid/ofae631.500
Primary Topic
Oral microbiology and periodontitis research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

P-297. Prospective Study on Microbiological Profile of Nosocomial Infections due to Gram negative lactose non-fermentative Bacteria in a Tertiary Care Hospital in South India

K Shailaja, S. Radhakrishnan, Vaishnavi Velmani, D. Sureshkumar
Open Forum Infectious Diseases
Oral microbiology and periodontitis research
article

P-297. Prospective Study on Microbiological Profile of Nosocomial Infections due to Gram negative lactose non-fermentative Bacteria in a Tertiary Care Hospital in South India

K Shailaja, S. Radhakrishnan, Vaishnavi Velmani, D. Sureshkumar
article en

Abstract

Abstract Background Non-fermentative gram-negative bacteria (NFGNB) infections that are acquired in hospitals have particularly concerning characteristics; identifying these features can aid in prevention and improve the standard of care provided within hospital premises. This study aims to find out the nosocomial infections caused by NFGNB, its sensitivity pattern, length of culture reporting time, and patients with ICU stay. Methods A prospective observational study was conducted in a tertiary care hospital located in southern India during the 4 months of January-April 2024. Data were taken from the Department of Microbiology regarding the prevalence of NFGNB isolates from different culture samples and their sensitivity pattern. The number of MDR isolates throughout the four months, their susceptibility pattern, and the duration of culture reporting time for all NFGNB isolates were examined. Descriptive analysis was used to look at patient demographics, inpatient department, and ICU admission. Statistical analysis was done by Microsoft Excel. Results Total 72(18.6%) samples were recorded as NFGNB from 386 culture positive samples isolated from the Department of Microbiology. The most common isolate was Acinetobacter spp (38.8%) followed by Pseudomonas spp (27.7%). The mean of our study participants was found to be 55 years, with a male: female ratio 2:1. The General Medicine department showed maximum isolates i.e, 25% followed by Hepatology department i.e, 16.6%. Maximum NFGNB isolates are from Urine sample (33.3%) followed by Blood sample (27.8%). The mean time of culture reporting for NFGNB was 72 hours. Out of 72 NFGNB samples, 28(38.8%) were Multi-drug resistant isolates and 29(40.2%) required ICU admission. Conclusion NFGNB function as nosocomial pathogens, their startling resistance is a concern to epidemiology and medical care. These isolated pathogens have been manually reported for a considerable amount of time. Rapid culture identification methods would assist identify resistant diseases early and improve patient outcomes in low- and middle-income countries. Future studies should focus on implementation of approaches to reduce the incidence and resistance of nosocomial infections in LMICs. Disclosures All Authors: No reported disclosures

Open Forum Infectious DiseasesVol. 12(Supplement_1)
Tamil Nadu Dr. M.G.R. Medical University (IN)
Openalex Percentile: Top 98%
Oral microbiology and periodontitis research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.