Trial reportJournal of clinical monitoring and computing2014
Complex signals bioinformatics: evaluation of heart rate characteristics monitoring as a novel risk marker for neonatal sepsis.
Trial report in Journal of clinical monitoring and computing, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
40 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Heart Rate Characteristics Monitoring for Late-Onset Sepsis in Preterm Infants: A Systematic Review.Neonatology · 2023Pooled it
- Neonatal sepsis: a systematic review of core outcomes from randomised clinical trials.Pediatric research · 2022Pooled it
- Artificial intelligence-based neonatal heart rate monitoring technologies: Systematic review.World journal of clinical pediatrics · 2026Article
- Explainable deep learning for early sepsis detection from ICU time-series data using XAI techniques.Scientific reports · 2026Article
- Heart Rate Variability Patterns Reflect Yoga Intervention in Chronically Stressed Pregnant Women: A Quasi-Randomized Controlled Trial.Bioengineering (Basel, Switzerland) · 2025Article
- Machine Learning Models as Early Warning Systems for Neonatal Infection.Clinics in perinatology · 2025Review
- Heart rate analysis in neonatal sepsis: a complex equation.Pediatric research · 2025Article
- Sample entropy correlates with intraventricular hemorrhage and mortality in premature infants early in life.Pediatric research · 2024Article
- Framework for Considering Abnormal Heart Rate Characteristics and Other Signs of Sepsis in Very Low Birth Weight Infants.American journal of perinatology · 2024Article
- Information Based Similarity Analysis of Oxygen Saturation Recordings to Detect Pulmonary Hypertension in Preterm Infants.Biomedical signal processing and control · 2023Article
- Heart Rate Variability Code: Does It Exist and Can We Hack It?Bioengineering (Basel, Switzerland) · 2023Review
- Model-Driven Analysis of ECG Using Reinforcement Learning.Bioengineering (Basel, Switzerland) · 2023Article
- Cardiorespiratory signature of neonatal sepsis: development and validation of prediction models in 3 NICUs.Pediatric research · 2023Article
- Artificial and human intelligence for early identification of neonatal sepsis.Pediatric research · 2023Review
- The principles of whole-hospital predictive analytics monitoring for clinical medicine originated in the neonatal ICU.NPJ digital medicine · 2022Review
- Engaging clinicians early during the development of a graphical user display of an intelligent alerting system at the bedside.International journal of medical informatics · 2022Article
- Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis.NPJ digital medicine · 2022Article
- Heart Rate as a Non-Invasive Biomarker of Inflammation: Implications for Digital Health.Frontiers in immunology · 2022Article
- Neonatal heart rate variability: a contemporary scoping review of analysis methods and clinical applications.BMJ open · 2021Article
- Nursing and precision predictive analytics monitoring in the acute and intensive care setting: An emerging role for responding to COVID-19 and beyond.International journal of nursing studies advances · 2021Article
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3 authors.
Funding
Abstract
purposesHeart rate characteristics monitoring for early detection of late-onset neonatal sepsis was first described in 2003. This technique, which uses mathematical methods to report the fold-increase in the risk of imminent neonatal sepsis, adds independent information to laboratory tests and clinical findings, and, in a large randomized trial, reduced NICU mortality of very low birth weight infants. Through re-analysis and new secondary analyses of published studies, we have systematically evaluated the utility of this new risk marker for screening the growing population of premature infants.
methodsWe followed the guidelines proposed by Hlatky et al. (Circulation, 119:2408-2416, 2009), reviewed past works, and re-analyzed data from 1,489 patients receiving conventional monitoring alone, 348 of whom had 488 episodes of proven sepsis, in the large randomized trial.
resultsHeart rate characteristics monitoring passed all phases of risk marker development from proof of concept to improvement of clinical outcomes. The predictiveness curve affirmed good calibration, and addition of the heart rate characteristics index to predictive models using standard risk factors favorably impacted the receiver operating characteristic curve area (increase of 0.030), continuous net reclassification index (0.389) and the integrated discrimination index (0.008), and compares well to other modern risk factors.
conclusionHeart rate characteristics monitoring is a validated risk marker for sepsis in the NICU.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.