Alain Beuchée

Objective: To assess whether procalcitonin-guided decision making can safely reduce the duration of antibiotic treatment in neonatal late onset sepsis. Design: Prospective multicentre, randomised open label trial. Setting: 33 level 3 and level 2B neonatology departments in France. Participants: Newborn babies born after 24 weeks’ gestation, of postconceptional age 24-45 weeks and after 4 days of life, weighing more than 700 g, with suspected or proven late onset sepsis, requiring antibiotics for more than 48 hours, and without meningitis, septic shock, and deep-seated infection. Interventions: Participants were randomly assigned to procalcitonin-guided or usual care antibiotic treatment. In the procalcitonin-guided group, procalcitonin concentration was measured at randomisation and then every two days. A non-binding recommendation to discontinue antibiotics was given if the procalcitonin concentration was 0.5 µg/L or lower. In the usual care group, treatment was provided according to local protocols. Main outcome measures: The primary outcome was the duration of antibiotic treatment (under the superiority hypothesis). The key secondary outcome was non-inferiority for mortality (margin 3%) at day 28 after randomisation. Results: Between February 2019 and February 2023, 248 newborns were randomised to the procalcitonin-guided group and 256 to the usual care group. In the intention-to-treat analysis, the median duration of antibiotic treatment was eight days (interquartile range (IQR) 5.0-12.0) in the procalcitonin-guided group versus 10 days (8.0-13.0) in the usual care group (absolute difference between groups −2.0 (IQR −3.8 to −1.0), P<0.001). At day 28, the proportion of death was six of 248 newborns (2.4%) in the procalcitonin-guided group versus 10 of 256 (3.9%) in the usual care group (absolute difference between groups −1.5% (95% confidence interval (CI) −5.0 to 1.8). The proportion of recurrence was seven of 248 (2.8%) newborns in the procalcitonin-guided group versus 10 (3.9%) of 256 in the usual care group (absolute difference between groups −1.1% (95% CI −4.6 to 2.3). Conclusion: In this study population, the use of procalcitonin significantly reduced the duration of antibiotic treatment in neonatal late onset sepsis, without increasing mortality or serious adverse events. Trial registration: NCT03730636 .

Aim: Neonatologists are exposed to ethical issues and unplanned emergencies that require 24‐h in‐house coverage. These elements may affect quality of life at work, which we surveyed.Methods: This was a self‐administered, voluntary and anonymous cross‐sectional survey of French neonatologists. An online questionnaire was sent to members of the French Society of Neonatology from June to October 2022.Results: Of approximately 1500 possible responses, 721 were analysed, with a response rate of 48%. Respondents were mostly women (77%), aged 35–50 years (50%), and hospital practitioners (63%). Reported weekly working time was over 50 h for 80%. Among the 650 neonatologists with on‐call duty, 47% worked ≥5 shifts per month. For 80% of practitioners, on‐call duty was perceived to have a negative impact on personal life; 49% indicated having sleep disorders. The mean satisfaction score at work was 5.7 ± 1.7 on a scale of 0–10. The main reasons for dissatisfaction were excessive working hours and insufficient remuneration for on‐call duty.Conclusion: This first evaluation of the quality of life at work of French neonatologists showed high workload. The working conditions and specificities of NICU activity may have significant consequences for their mental health.

This study was designed to test if heart rate variability (HRV) data from preterm and full-term infants could be used to estimate their functional maturational age (FMA), using a machine learning model. We propose that the FMA, and its deviation from the postmenstrual age (PMA) of the infants could inform physicians about the progress of the maturation of the infants. The HRV data was acquired from 50 healthy infants, born between 25 and 41 weeks of gestational age, who did not present any signs of abnormal maturation relative to their age group during the period of observation. The HRV features were used as input for a machine learning model that uses filtering and genetic algorithms for feature selection, and an ensemble machine learning (EML) algorithm, which combines linear and random forest regressions, to produce as output a FMA. Using HRV data, the FMA had a mean absolute error of 0.93 weeks, 95% CI [0.78, 1.08], compared to the PMA. These results demonstrate that HRV features of newborn infants can be used by an EML model to estimate their FMA. This method was also generalized using respiration rate variability (RRV) and bradycardia data, obtaining similar results. The FMA, predicted either by HRV, RRV or bradycardia, and its deviation from the true PMA of the infants, could be used as a surrogate measure of the maturational age of the infants, which could potentially be monitored non-invasively and in real-time in the setting of neonatal intensive care units.

Background: Continuous monitoring of the vital signs of critical care patients is an essential component of critical care medicine. For this task, clinicians use a patient monitor (PM), which conveys patient vital sign data through a screen and an auditory alarm system. Some limitations with PMs have been identified in the literature, such as the need for visual contact with the PM screen, which could result in reduced focus on the patient in specific scenarios, and the amount of noise generated by the PM alarm system. With the advancement of material science and electronic technology, wearable devices have emerged as a potential solution for these problems. This review presents the findings of several studies that focused on the usability and human factors of wearable devices designed for use in critical care patient monitoring. Objective: The aim of this study is to review the current state of the art in wearable devices intended for use by clinicians to monitor vital signs of critical care patients in hospital settings, with a focus on the usability and human factors of the devices. Methods: A comprehensive literature search of relevant databases was conducted, and 20 studies were identified and critically reviewed by the authors. Results: We identified 3 types of wearable devices: tactile, head-mounted, and smartwatch displays. In most cases, these devices were intended for use by anesthesiologists, but nurses and surgeons were also identified as potentially important users of wearable technology in critical care medicine. Although the studies investigating tactile displays revealed their potential to improve clinical monitoring, usability problems related to comfort need to be overcome before they can be considered suitable for use in clinical practice. Only a few studies investigated the usability and human factors of tactile displays by conducting user testing involving critical care professionals. The studies of head-mounted displays (HMDs) revealed that these devices could be useful in critical care medicine, particularly from an ergonomics point of view. By reducing the amount of time the user spends averting their gaze from the patient to a separate screen, HMDs enable clinicians to improve their patient focus and reduce the potential of repetitive strain injury. Conclusions: Researchers and designers of new wearable devices for use in critical care medicine should strive to achieve not only enhanced performance but also enhanced user experience for their users, especially in terms of comfort and ease of use. These aspects of wearable displays must be extensively tested with the intended end users in a setting that properly reflects the intended context of use before their adoption can be considered in clinical settings.

Background: The definition of late-onset bacterial sepsis (LOS) in very preterm infants is not unified. The objective was to assess the concordance of LOS diagnosis between experts in neonatal infection and international classifications and to evaluate the potential impact on heart rate variability and rate of “bronchopulmonary dysplasia or death”. Methods: A retrospective (2017–2020) multicenter study including hospitalized infants born before 31 weeks of gestation with intention to treat at least 5-days with antibiotics was performed. LOS was classified as “certain or probable” or “doubtful” independently by five experts and according to four international classifications with concordance assessed by Fleiss’s kappa test. Results: LOS was suspected at seven days (IQR: 5–11) of life in 48 infants. Following expert classification, 36 of them (75%) were considered as “certain or probable” (kappa = 0.41). Following international classification, this number varied from 13 to 46 (kappa = −0.08). Using the expert classification, “bronchopulmonary dysplasia or death” occurred less frequently in the doubtful group (25% vs. 78%, p < 0.001). Differences existed in HRV changes between the two groups. Conclusion: The definition of LOS is not consensual with a low international and moderate inter-observer agreement. This affects the evaluation of associated organ dysfunction and prognosis.

In this paper, a method for apnea bradycardia detection in preterm infants is presented based on coupled hidden semi Markov model (CHSMM). CHSMM is a generalization of hidden Markov models (HMM) used for modeling mutual interactions among different observations of a stochastic process through using finite number of hidden states with corresponding resting time. We introduce a new set of equations for CHSMM to be integrated in a detection algorithm. The detection algorithm was evaluated on a simulated data to detect a specific dynamic and on a clinical dataset of electrocardiogram signals collected from preterm infants for early detection of apnea bradycardia episodes. For simulated data, the proposed algorithm was able to detect the desired dynamic with sensitivity of 96.67% and specificity of 98.98%. Furthermore, the method detected the apnea bradycardia episodes with 94.87% sensitivity and 96.52% specificity with mean time delay of 0.73 s. The results show that the algorithm based on CHSMM is a robust tool for monitoring of preterm infants in detecting apnea bradycardia episodes. Apnea Bradycardia detection using Coupled hidden semi Markov Model from electrocardiography. In this model, a sequence of hidden states is assigned to each observation based on the effects of previous states of all observations

Background: The patient monitor (PM) is one of the most commonly used medical devices in hospitals worldwide. PMs are used to monitor patients’ vital signs in a wide variety of patient care settings, especially in critical care settings, such as intensive care units. An interesting observation is that the design of PMs has not significantly changed over the past 2 decades, with the layout and structure of PMs more or less unchanged, with incremental changes in design being made rather than transformational changes. Thus, we believe it well-timed to review the design of novel PM interfaces, with particular reference to usability and human factors. Objective: This paper aims to review innovations in PM design proposed by researchers and explore how clinicians responded to these design changes. Methods: A literature search of relevant databases, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, identified 16 related studies. A detailed description of the interface design and an analysis of each novel PM were carried out, including a detailed analysis of the structure of the different user interfaces, to inform future PM design. The test methodologies used to evaluate the different designs are also presented. Results: Most of the studies included in this review identified some level of improvement in the clinician’s performance when using a novel display in comparison with the traditional PM. For instance, from the 16 reviewed studies, 12 studies identified an improvement in the detection and response times, and 10 studies identified an improvement in the accuracy or treatment efficiency. This indicates that novel displays have the potential to improve the clinical performance of nurses and doctors. However, the outcomes of some of these studies are weakened because of methodological deficiencies. These deficiencies are discussed in detail in this study. Conclusions: More careful study design is warranted to investigate the user experience and usability of future novel PMs for real time vital sign monitoring, to establish whether or not they could be used successfully in critical care. A series of recommendations on how future novel PM designs and evaluations can be enhanced are provided.