Literature DB >> 28864361

Healthcare associated infections in neonatal intensive care unit and its correlation with environmental surveillance.

Sanjay Kumar1, Binoy Shankar2, Sugandha Arya3, Manorma Deb4, Harish Chellani5.   

Abstract

Healthcare-associated infections (HAI) are frequent complications in neonatal intensive care units (NICU) with varying risk factors and bacteriological profile. There is paucity of literature comparing the bacteriological profile of organisms causing HAI with the environmental surveillance isolates. Therefore, this study aimed to evaluate demographic profile, risk factors and outcome of HAI in NICU and correlate with environmental surveillance. Three hundred newborns with signs and symptoms of sepsis were enrolled in the study group and their profile, risk factors and outcome were compared with the control group. Univariate analysis and multivariable logistic regression were performed. Environmental surveillance results were compared to the bacteriological profile of HAIs. We identified lower gestational age, male gender and apgar score less than 7 at 5min, use of peripheral vascular catheter &amp; ventilator along with their duration as significant risk factors. Mortality rate was 29% in the study group (p<0.05). The HAI site distribution showed blood-stream infections (73%) to be the most common followed by pneumonia (12%) and meningitis (10%). Gram positive cocci were the most common isolates in HAI as well as environmental surveillance. The bacteriological profile of HAI correlates with the environmental surveillance report thus insisting for periodic surveillance and thereby avoiding irrational antibiotic usage.
Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Environmental surveillance; Healthcare associated infection; Neonatal intensive care unit

Mesh:

Year:  2017        PMID: 28864361     DOI: 10.1016/j.jiph.2017.08.005

Source DB:  PubMed          Journal:  J Infect Public Health        ISSN: 1876-0341            Impact factor:   3.718


  7 in total

1.  Contemporary Trends in Global Mortality of Sepsis Among Young Infants Less Than 90 Days: A Systematic Review and Meta-Analysis.

Authors:  Ming Ying Gan; Wen Li Lee; Bei Jun Yap; Shu Ting Tammie Seethor; Rachel G Greenberg; Jen Heng Pek; Bobby Tan; Christoph Paul Vincent Hornik; Jan Hau Lee; Shu-Ling Chong
Journal:  Front Pediatr       Date:  2022-06-03       Impact factor: 3.569

Review 2.  Nosocomial Infections and Role of Nanotechnology.

Authors:  Thripthi Ananda; Ankita Modi; Ishita Chakraborty; Vishwanath Managuli; Chiranjay Mukhopadhyay; Nirmal Mazumder
Journal:  Bioengineering (Basel)       Date:  2022-01-28

Review 3.  A systematic literature review on the prevalence and etiology of meningitis among critically ill and hospitalized patients in India.

Authors:  Canna J Ghia; Gautam S Rambhad
Journal:  Ther Adv Infect Dis       Date:  2021-09-22

4.  Distal Tibia Epiphysiodesis After Saphenous Vein Catheterization During Treatment for Prematurity.

Authors:  Panagiotis V Samelis; Panagiotis Kolovos; Christos Loukas; Eleni Sameli; Flourentzos Georgiou
Journal:  Cureus       Date:  2022-01-25

5.  Hospital-acquired Pneumonia and Ventilator-associated Pneumonia in Children: A Prospective Natural History and Case-Control Study.

Authors:  Jessica E Ericson; John McGuire; Marian G Michaels; Adam Schwarz; Robert Frenck; Jaime G Deville; Swati Agarwal; Adam M Bressler; Jamie Gao; Tracy Spears; Daniel K Benjamin; P Brian Smith; John S Bradley
Journal:  Pediatr Infect Dis J       Date:  2020-08       Impact factor: 3.806

6.  Temporal variations in bacterial community diversity and composition throughout intensive care unit renovations.

Authors:  Jessica Chopyk; Kevan Akrami; Tovia Bavly; Ji H Shin; Leila K Schwanemann; Melissa Ly; Richa Kalia; Ying Xu; Scott T Kelley; Atul Malhotra; Francesca J Torriani; Daniel A Sweeney; David T Pride
Journal:  Microbiome       Date:  2020-06-08       Impact factor: 14.650

7.  Predictive Analysis of Healthcare-Associated Blood Stream Infections in the Neonatal Intensive Care Unit Using Artificial Intelligence: A Single Center Study.

Authors:  Emma Montella; Antonino Ferraro; Giancarlo Sperlì; Maria Triassi; Stefania Santini; Giovanni Improta
Journal:  Int J Environ Res Public Health       Date:  2022-02-22       Impact factor: 3.390

  7 in total

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