Publications by authors named "Puspita Sahu"
Article Synopsis
- The study investigates the common microorganisms causing neonatal sepsis and the trends in antibiotic resistance patterns, based on a retrospective analysis of 344 cases from a southern India hospital between 2012 and 2017.
- Key findings reveal that the most frequent pathogens were responsible for a significant percentage of deaths, and that antibiotics like amikacin, vancomycin, and ampicillin were the most utilized.
- The research highlights the need for antibiotic stewardship policies to address and improve treatment outcomes amid increasing antimicrobial resistance in neonatal sepsis cases.
Background And Aim: Risk factor-based approach is one of the best approaches employed by middle income countries which are not well facility driven for any disease management. Thus, through this approach, we aim to identify the potential risk factors responsible for the poor outcome in neonatal sepsis.
Methods: A case control was conducted retrospectively with neonates admitted to Neonatal Intensive Care Unit during January 2012 to December 2016.
Background: Prediction modelling can greatly assist the health-care professionals in the management of diseases, thus sparking interest in neonatal sepsis diagnosis. The main objective of the study was to provide a complete picture of performance of prediction models for early detection of neonatal sepsis.
Methods: PubMed, Scopus, CINAHL databases were searched and articles which used various prediction modelling measures for the early detection of neonatal sepsis were comprehended.
Rationale And Objectives: Cannabinoid receptor 2 (CB2R) signaling in the brain is associated with the pathophysiology of depression. Sickness behavior, characterized by lessened mobility, social interaction, and depressive behavior, is linked with neuroinflammation, oxidative stress, and immune system. The present study was aimed at evaluating 1-phenylisatin (PI), a CB2R agonist, in sickness behavior.
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