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All Journal Indonesian Journal of Global Health research
Ayodhia Pitaloka Pasaribu
Universitas Sumatera Utara & Adam Malik Hospital
Education Health Professions Languange, Linguistic, Communication & Media Nursing Public Health

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Infection Markers as Prediction of Neonatal Sepsis Cindy Clarissa Sirait; Bugis Mardina Lubis; Ika Citra Dewi Tanjung; Hendri Wijaya; Arlinda Sari Wahyuni; Ayodhia Pitaloka Pasaribu
Indonesian Journal of Global Health Research Vol 7 No 3 (2025): Indonesian Journal of Global Health Research
Publisher : GLOBAL HEALTH SCIENCE GROUP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37287/ijghr.v7i3.6066

Abstract

Neonatal sepsis is one of the most common causes of neonatal death in the first month of life. Neonatal sepsis often shows atypical clinical features include temperature instability, lethargy, skin changes, feeding problems, and many others. Isolation of bacteria from the culture is the gold standard for diagnosing sepsis, but this approach is frequently time-consuming and even in cases of negative blood cultures, sepsis cannot be conclusively ruled out, posing a major challenge in its diagnosis and management. Early diagnosis and timely intervention are essential to improve the prognosis of neonatal sepsis. Aim: The aim of this study is to discuss how infection markers can aid in the early identification of neonatal sepsis and what are the best infection markers to predict neonatal sepsis mortality. Method: This study assessed the diagnostic accuracies of infection marker used in the diagnosis of neonatal sepsis. Included studies were retrieved by searching three major databases (Google Scholar, Pubmed, and Science Direct) using MeSH words and relevant references, and reviewed based on the inclusion/exclusion criteria. The article discusses potential advancements and future prospects for biomarkers. An excellent marker can guide antibiotic administration and duration if sepsis is confirmed, reducing unnecessary use. The marker should have high sensitivity, specificity, positive predictive value, negative predictive value and accuracy.
Antibiotic Resistance in the Pediatric Intensive Care Unit: Literature Review Nina Melina Ginting; Hendri Wijaya; Arlinda Sari Wahyuni; Yunnie Trisnawati; Rita Evalina; Ayodhia Pitaloka Pasaribu
Indonesian Journal of Global Health Research Vol 7 No 3 (2025): Indonesian Journal of Global Health Research
Publisher : GLOBAL HEALTH SCIENCE GROUP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37287/ijghr.v7i3.6087

Abstract

Antibiotics have been overused, the unwise use of antibiotics has become a special concern and has led to resistance. Almost 50% of antibiotic therapy is initiated inappropriately and without correct identification of the etiological agent. The high number of inappropriate antibiotic prescriptions contributes to the occurrence of antibiotic resistance and increased risk of death. MDR pathogens result in a 40% increase in mortality in hospital-acquired infections. The purpose of this study was to discuss the pattern of the resistance of antibiotic therapy in pediatric patients admitted to the PICU. Method: The search strategy was conducted through three databases (Google Scholar, Pubmed, Science Direct) which published during 2015-2025, using MeSH words “Antibiotic Resistance” AND “Pediatric intensive care unit”. There were thousand studies found, then by using the PRISMA flowchart, which total ten studies were included. PICU has a higher ratio of pathogen composition and bacterial resistance. Many factors can lead to antibiotic resistance, it might be caused by unnecessary or suboptimal prescribed antibiotic therapy from community before, previous health care and the hospital itself. The high number of inappropriate antibiotic prescriptions contributes to the occurrence of antibiotic resistance. Antibiotic resistance can lead to longer hospital stays and increased risk of mortality.
Co-Authors Arlinda Sari Wahyuni Bugis Mardina Lubis Cindy Clarissa Sirait Hendri Wijaya Ika Citra Dewi Tanjung Nina Melina Ginting Rita Evalina Yunnie Trisnawati