Table 1 - uploaded by Eduardo Jorge Godoy
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Sepsis, a critical bacterial infection of the bloodstream, is a serious cause of illness in the neonatal
period in both premature and at term newborns. It is important to look for parameters that can help earlier
detection of sepsis in the newborn. Previous studies have shown that Heart Rate Variability is reduced when
associated with sepsis and di...
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Introduction
Bronchopulmonary dysplasia (BPD) is the most common chronic lung disease in childhood, related to prematurity, and the most common cause of pulmonary hypertension (PH) secondary to pulmonary disease in children. Moderate and severe BPD have a worse outcome and relate more frequently with PH. The prediction of moderate or severe BPD dev...
Citations
To systematically summarise the current evidence of employing clinical decision support algorithms (CDSAs) using non-invasive parameters for sepsis prediction in neonates.
A comprehensive search in PubMed, CENTRAL, and EMBASE was conducted. Screening, data extraction, and risk of bias were performed by two authors. The certainty of the evidence was assessed using GRADE. PROSPERO ID: CRD42020205143
After abstract and full text screening, thirty-six studies comprising 18096 infants were included. Most CDSAs evaluated heart rate (HR)-based parameters. Two publications derived from one randomised controlled trial assessing heart rate characteristics reported significant reduction in 30-day septicemia-related mortality. Thirty-four non-randomised studies found promising yet inconclusive results.
HR-based parameters are reliable components of CDSAs for sepsis prediction, particularly in combination with additional vital signs and demographics. However, inconclusive evidence and limited standardisation restricts clinical implementation of CDSAs outside of a controlled research environment. Further experimentation and comparison of parameter combinations and testing of new CDSAs is warranted.