Introduction of the neonatal sepsis calculator at a low-dependency special care nursery in Australia

2021 ◽  
pp. 1-4
Author(s):  
Maria Paula Cuoco ◽  
Deena Parbhoo ◽  
Anita D’Aprano
Keyword(s):  
Neonatal Sepsis ◽  
Special Care ◽  
Sepsis Calculator

Implementation of the Neonatal Sepsis Calculator in an Australian Tertiary Perinatal Centre

Neonatology ◽  
2018 ◽  
Vol 113 (4) ◽  
pp. 379-382 ◽  
Author(s):  
Tobias Strunk ◽  
Ashok Buchiboyina ◽  
Mary Sharp ◽  
Elizabeth Nathan ◽  
Dorota Doherty ◽  
...  
Keyword(s):  
Neonatal Sepsis ◽  
Sepsis Calculator

Implementation of the Neonatal Sepsis Calculator in Early-Onset Sepsis and Maternal Chorioamnionitis

2020 ◽  
Vol 20 (1) ◽  
pp. 25-32 ◽  
Author(s):  
Gangaram Akangire ◽  
Elizabeth Simpson ◽  
Julie Weiner ◽  
Janelle Noel-MacDonnell ◽  
Joshua Petrikin ◽  
...  
Keyword(s):  
Neonatal Sepsis ◽  
Early Onset ◽  
Early Onset Sepsis ◽  
Sepsis Calculator

Predictors of Mortality in Newborn Admitted in Special Care Baby Unit (SCABU) of Dhaka Shishu Hospital

2020 ◽  
Vol 35 (2) ◽  
pp. 123-129
Author(s):  
MA Kamal ◽  
Mahbubul Hoque
Keyword(s):  
Antenatal Care ◽  
Hospital Admission ◽  
Gestational Age ◽  
Neonatal Sepsis ◽  
Neonatal Death ◽  
Perinatal Asphyxia ◽  
Special Care ◽  
Socioeconomic Background ◽  
Normal Delivery ◽  
Special Care Baby Unit

Background: The current neonatal mortality rate of Bangladesh is very high compared to developed countries. Objective: The objective of the study was to find out the predictors that are associated with mortality in newborn admitted in Special Care Baby Unit (SCABU) of Dhaka Shishu (Children) Hospital. Methods: This prospective study was conducted in the SCABU of Dhaka Shishu (Children) Hospital from 1st June 2016 to 30 November 2016. A semi-structured questionnaire was prepared before the study. Data were collected from the attendents of each neonate by asking questions who died at the neonatal period after hospital admission. Detail history regarding gestational age, birth weight, place of birth, person conducting delivery, mood of delivery, problem at birth, residence, reasons of referral, vehicle during transport, condition of baby at arrival, time taken during transport and need for any resuscitation was recorded. Data were analyzed by using SPSS version 16. Result: Total 970 neonates were admitted during data collection period out of them 98(10.10%) died. Majority (58.16%) of the death occurred in neonate who was admitted before 72 hours of age having gestational age <37 weeks (65.31%). Majority of the neonates were from urban area (56.12%) but from poor socioeconomic status (54.08%) and only 32.65% were on regular antenatal care. Majority were delivered by normal delivery at home and attended by TBA. Among the neonates 30.61% reached hospital only by ambulance and 64.29% were found hypothermic during admission. Majority 70(71.43%) were died within 24 hours of hospital admission. Neonatal sepsis, perinatal asphyxia and prematurity contributed majority of neonatal death. Conclusion: Early (age <72 hours) and premature neonates, neonates from poor socioeconomic background, lack of antenatal care, home delivery, lack of facility in local areas, inadequate transport and unstable initial condition contributed majority of neonatal death. Neonatal sepsis, perinatal asphyxia and prematurity contributed most of neonatal death. DS (Child) H J 2019; 35(2) : 123-129

scholarly journals Impact of neonatal sepsis calculator in West Midlands (UK)

2020 ◽  
pp. fetalneonatal-2020-320862
Author(s):  
Tim J van Hasselt ◽  
Helen McDermott ◽  
Pinki Surana ◽  
Rawia Eltahir ◽  
Laura Macaskill ◽  
...  
Keyword(s):  
Neonatal Sepsis ◽  
West Midlands ◽  
Sepsis Calculator

scholarly journals Detection of Extended Spectrum β-Lactamases (ESBL) Producing Bacteria in Sepsis Suspected Neonates

2021 ◽  
Vol 1 (2) ◽  
pp. 7-14
Author(s):  
Sabita Nepal ◽  
Sushma Koirala ◽  
Subash Thakur ◽  
Susmita Bhattarai ◽  
Suraj Dhungana ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Neonatal Sepsis ◽  
Special Care ◽  
Diffusion Method ◽  
Special Care Baby Unit ◽  
Extended Spectrum ◽  
Microbiological Methods ◽  
Antibiotic Susceptibility Test ◽  
Blood Specimens

Introduction: Neonatal sepsis is a clinical syndrome that is caused when the bloodstream of an infant is invaded by bacteria in the first month after birth. Objective: The objective of the study was to identify bacteria involved in the infection and to determine “extended-spectrum beta-lactamase” (ESBL) producing bacteria from blood samples of sepsis suspected neonates in the Neonatal Intensive Care Unit and Special Care Baby Unit. Methods: This cross-sectional study was conducted from January to July 2019 at Microbiology laboratory of Paropakar Maternity and Women’s Hospital. A total of 380 venous blood specimens were included in the study. The blood culture was performed and organisms were identified with standard microbiological methods. The Antibiotic susceptibility test was performed using the modified Kirby Bauer disk diffusion method. Screening of the organisms was done using cefotaxime and ceftazidime antibiotic disc and confirmation of ESBL was done by combined disk test. The data were considered statistically significant if the p-value was < 0.05. Results: Out of a total of 380 blood specimens, the prevalence of neonatal sepsis was found to be 21.05% among which 57.5% were EOS type and 42.5% were LOS type. In EOS, E. coli (72.73%) was the predominant isolate while CoNS (100%) was the predominant isolate in LOS. Of the total 80 isolates, 65% isolates were found multidrug-resistant (MDR) whereas 58.75% of isolates were found to be ESBL producers. Conclusions: This study concludes that routine bacterial surveillance and study of their resistance patterns is an essential component of the neonatal care unit. Keywords: Extended-spectrum β-Lactamases; neonates; neonate intensive care unit; special care baby unit; sepsis.

scholarly journals Sepsis calculator to support antibiotic stewardship in early-onset neonatal sepsis: a meta-analysis

2018 ◽  
Vol 58 (6) ◽  
pp. 286-97 ◽  
Author(s):  
Rinawati Rohsiswatmo ◽  
Hardya Gustada Hikmahrachim ◽  
Dinarda Ulf Nadobudskaya ◽  
Sonia Miyajima Anjani ◽  
Albert You
Keyword(s):  
Blood Culture ◽  
Neonatal Sepsis ◽  
Early Onset ◽  
Literature Search ◽  
Meta Analysis ◽  
Neonatal Care ◽  
Antibiotic Administration ◽  
Maternal Risk ◽  
The Impact ◽  
Sepsis Calculator

Background Establishing a diagnosis of neonatal sepsis is difficult. As such, appropriate timing of antibiotic therapy remains the biggest challenge. As a consequence of non-definitive diagnoses, inappropriate antibiotic administration is common. Recently, a sepsis calculator to estimate risk of early-onset sepsis (EOS) based on both maternal risk factors and infants’ clinical presentation was established. Objective To determine the impact of the sepsis calculator in daily clinical settings, especially with regards to antibiotic usage. Methods A literature search of Pubmed, EBSCO, Embase, and Scopus database from January 2011 (after sepsis calculator was established) to June 2018 was performed. We included observational studies that compared the sepsis calculator to recent neonatal sepsis guidelines in terms of antibiotic administration, blood culture, and admission to the neonatal intensive care unit (NICU). The literature search, validation study, and assessment risk of bias were done independently by our four authors, while the first author did the statistical analysis. Results Of the 35 studies identified, 5 cohort studies met the criteria, with a total sample size of 18,352 infants from various countries. We developed a fixed-effect meta analysis of the data. The use of the sepsis calculator significantly reduced inappropriate use of antibiotics [RR 0.46; 95%CI 0.41 to 0.51; z=13.57; P<0.001], blood culture sampling [RR 0.46; 95%CI 0.40 to 0.52; z=12.11; P<0.001), and higher neonatal care level admissions [RR 0.68; 95%CI 0.59 to 0.78); z=5.47; P<0.001). No safety issues were reported from studies using the sepsis calculator. Conclusion The new EOS risk estimation using a neonatal sepsis calculator is an easy, effective, and safe tool to improve appropriate antibiotic use and outcomes. This calculator is ready to be implemented in all levels of neonatal care units.  

scholarly journals Brief comments on three existing approaches for managing neonates at risk of early-onset sepsis

2021 ◽  
Vol 47 (1) ◽  
Author(s):  
E. Vaccina ◽  
A. Luglio ◽  
M. Ceccoli ◽  
M. Lecis ◽  
F. Leone ◽  
...  
Keyword(s):  
Risk Factors ◽  
At Risk ◽  
Neonatal Sepsis ◽  
Early Onset ◽  
Clinical Observation ◽  
Main Body ◽  
Close Monitoring ◽  
Maternal Risk ◽  
Early Onset Sepsis ◽  
Sepsis Calculator

Abstract Background Growing concerns regarding the adverse effects of antibiotics during the first days of life and the marked reduction in the incidence of early-onset sepsis (EOS) are changing the clinical practice for managing neonates at risk of EOS. Strategies avoiding unnecessary antibiotics while promoting mother-infant bonding and breastfeeding deserve to be considered. Main body We compare strategies for managing newborns at risk of EOS recommended by the American Academy of Pediatrics, which are among the most followed recommendations worldwide. Currently three different approaches are suggested in asymptomatic full-term or late preterm neonates: i) the conventional management, based on standard perinatal risk factors for EOS alone, ii) the neonatal sepsis calculator, a multivariate risk assessment based on individualized, quantitative risk estimates (relying on maternal risk factors for EOS) combined with physical examination findings at birth and in the following hours and iii) an approach entirely based on newborn clinical condition (serial clinical observation) during the first 48 h of life. We discuss advantages and limitations of these approaches, by analyzing studies supporting each strategy. Approximately 40% of infants who develop EOS cannot be identified on the basis of maternal RFs or laboratory tests, therefore close monitoring of the asymptomatic but at-risk infant remains crucial. A key question is to know what proportion of babies with mild, unspecific symptoms at birth can be managed safely without giving antibiotics. Conclusions Both neonatal sepsis calculator and serial clinical observation may miss cases of EOS, and clinical vigilance for all neonates is essential There is a need to assess which symptoms at birth are more predictive of EOS, and therefore require immediate interventions, or symptoms that can be carefully reevaluated without necessarily treat immediately the neonate with antibiotics. Studies comparing strategies for managing neonates are recommended.

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